Next Article in Journal
Investigating the Impact of Wind Power Integration on Damping Characteristics of Low Frequency Oscillations in Power Systems
Next Article in Special Issue
The Influence of Arbuscular Mycorrhizal Fungus Rhizophagus irregularis on the Growth and Quality of Processing Tomato (Lycopersicon esculentum Mill.) Seedlings
Previous Article in Journal
The Moderating Roles of Destination Regeneration and Place Attachment in How Destination Image Affects Revisit Intention: A Case Study of Incheon Metropolitan City
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Nitrogen Uptake, Use Efficiency, and Productivity of Nigella sativa L. in Response to Fertilization and Plant Density

by
Ioannis Roussis
1,*,
Ioanna Kakabouki
1,
Dimitrios Beslemes
2,
Evangelia Tigka
3,
Chariklia Kosma
4,
Vassilios Triantafyllidis
4,
Antonios Mavroeidis
1,
Anastasios Zotos
5 and
Dimitrios Bilalis
1
1
Laboratory of Agronomy, Department of Crop Science, Agricultural University of Athens, 11855 Athens, Greece
2
Research and Development Department, Alfa Seeds ICSA, 41500 Larissa, Greece
3
Institute of Industrial and Forage Crops, Hellenic Agricultural Organization Demeter, 41335 Larissa, Greece
4
Department of Business Administration of Food and Agricultural Enterprises, University of Patras, 30100 Agrinio, Greece
5
Department of Biosystems and Agricultural Engineering, University of Patras, 30200 Mesolonghi, Greece
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(7), 3842; https://doi.org/10.3390/su14073842
Submission received: 22 February 2022 / Revised: 22 March 2022 / Accepted: 23 March 2022 / Published: 24 March 2022

Abstract

:
Nigella sativa L. has been recognized as one of the most important medicinal plants in many parts of the world for centuries. The purpose of the current study was to evaluate the effects of fertilization and plant density on nitrogen uptake, utilization efficiency, and productivity of N. sativa under Mediterranean conditions. The three-year experiment was set up in a split-plot design with three replications. There were 2 plant densities; 200 and 300 plants m−2 with 4 fertilization levels: control, seaweed compost, farmyard manure and inorganic fertilizer. The highest seed yield (749–840 kg ha−1) was found in plants subjected to low-density and inorganic fertilization. The seed nitrogen (N) uptake as well as the nitrogen harvest index (NHI) were positively affected by the increase of available nitrogen and negatively by the increase of plant density, with their highest values recorded in the low-density and inorganic fertilization. In conclusion, plant densities greater than 200 plants m−2 result in higher crop growth but lower seed yield and decreased nitrogen uptake and use efficiency in N. sativa seeds, whereas the application of inorganic fertilizers increases crop yield, nitrogen uptake, and utilization efficiency because these fertilizers present higher nitrogen levels with higher solubility and thus faster availability for the crop in comparison with organic fertilizers.

1. Introduction

Nigella sativa L., a diploid plant belonging to the Ranunculaceae family with chromosome number 2n = 12 [1], is mainly cultivated in semi-arid regions, including the Mediterranean, southern Europe, Egypt, Iran, India, Saudi Arabia, Syria, Pakistan, and Turkey [2,3]. N. sativa constitutes a short-lived annual plant and has been traditionally used as a medicinal plant that may aid for improving and maintaining human health [4,5]. N. sativa seeds are composed of 30–35% fixed and 0.5–1.5% volatile oil considered as alternative sources of oils for nutraceuticals and functional foods [6,7]. One of the most important pharmacologically active constituents of volatile oil is thymoquinone, which imports the plant under research as a medication of a variety of disorders in the respiratory system, digestive tract, cardiovascular system, liver, kidney, immune system [8,9] or metabolic syndrome [10]. The seeds of N. sativa have been accepted as a source of aroma in the “blue book” of the European Council since 1981 and have been granted a claim as a novel food ingredient in the context of European Council Regulation No. 258/97 [11,12]. Moreover, a number of studies have shown that the incorporation of N. sativa seeds in animal rations improves feed intake, digestibility coefficients, and nutritive values in agricultural livestock [13,14,15,16,17,18]. Finally, according to Roussis et al. [19], N. sativa biomass can also be used as a forage supplement for lactating animals.
As nutrient uptake and crop yields are the primary factors that determine optimal fertilization practices [20], a higher and more balanced nutrient supply is expected to result in higher crop production while maintaining soil health. This is possible when fertilizers are applied in an efficient manner, thereby minimizing the loss of nutrients and improving its efficiency [21,22]. Nitrogen is a critical nutrient for plant growth and development, as well as the most complicated, due to the numerous forms and activities that may occur throughout its cycle [23]. It is heavily involved in all plant metabolic activities, and its rate of uptake and partition is primarily governed by supply and demand throughout the plant’s life cycle [24]. Nitrogen availability and supply vary according to crop species and are determined by their needs [25].
However, when unreasonably applied nitrogen fertilizer is neither completely assimilated by plants nor sequestered as soil organic nitrogen, it will result in nitrogen losses and cause environmental problems through nitrate (NO3) leaching, ammonia (NH3) volatilization, and nitrous oxide (N2O) emissions, such as greenhouse gases, groundwater contamination, atmosphere pollution, water eutrophication, and biodiversity decline [26,27]. Uncontrolled and unreasonable nitrogen fertilizer use results in massive losses of 40 to 60% of applied nitrogen, which can have a negative impact on crop yields [28,29]. Increasing soil nitrogen use efficiency could reduce fertilizer use and farmer costs while also protecting the environment from the negative effects of nitrogen loss [30,31]. Mineral fertilizers, organic manure, composts, symbiotic N2 fixation, and atmospheric wet and dry deposition are the main sources of nitrogen in agricultural fields [32]. Organic fertilizers, such as animal manure and composted organic materials, have been considered an excellent soil amendment that can provide nitrogen and enhance nitrogen availability to improve crop yields [33,34].
Nitrogen use efficiency (NUE) can be defined as the maximum economic yield produced per unit of nitrogen applied, absorbed, or utilized by the plant to produce seed and biomass, and constitutes an important approach for estimating the nitrogen losses, as well as the amount of nitrogen absorbed by the crop, and, thus, the efficiency of the applied fertilization [35]. In agronomic research, various indices are commonly used to evaluate the efficiency of applied nitrogen, primarily for purposes that emphasize crop response to nitrogen [36]. Fageria and Baligar [35] defined five different indices for determining NUE in crops: agronomic efficiency (AE), physiological efficiency (PE), agro-physiological efficiency (APE), apparent recovery efficiency (ARE), as well as utilization efficiency (UE). Increased NUE and seed yield are primarily determined by timely planting, proper tillage, optimum plant density, and optimal nitrogen rate and management [37,38]. The primary goal of improving nitrogen utilization, optimizing fertilization, and lowering the risk of contamination of surface water and groundwater resources is to have a better understanding of the plant nitrogen reaction [39].
The nitrogen harvest index (NHI) is defined as the proportion of total plant nitrogen incorporated into the seed. Since nitrogen in the roots has little influence on the efficiency of nitrogen partitioning, the NHI only refers to nitrogen in the above-ground plant parts [40]. It consists of an important index that indicates how efficiently the plant utilized acquired nitrogen for seed production and varies between different crop species as well as among different genotypes of the same species [35].
To our knowledge, there was no evidence available concerning the effects of fertilization and plant density on nitrogen uptake and nitrogen use efficiency of N. sativa crop production under Mediterranean semi-arid environments. As a result, the purpose of the current study aimed to investigate the influence of inorganic and organic fertilization, as well as plant density, on crop performance, nitrogen absorption, and assimilation from the soil to the vegetative parts and seeds of N. sativa.

2. Materials and Methods

2.1. Site Description and Experimental Design

A field experiment was conducted in 2017 (1st year), and then repeated in the exact location, and under the same experimental design, during 2018 (2nd year) and 2019 (3rd year), in the organic experimental field of the Agricultural University of Athens (Latitude: 37°59′1.70″ N, Longitude: 23°42′7.04″ E, Altitude: 29 m above sea level). The soil properties in the experimental site are presented in Table 1. The site was managed according to European Union regulations on organic agriculture (EC 834/2007). The meteorological data (mean temperature and precipitations) throughout the growing seasons were obtained from the automatic weather station (Davis Vantage Pro2 Weather Station; Davis Instruments Corporation, Hayward, CA, USA) of the Agricultural University of Athens and are shown in Figure 1. Total precipitation in 2017, 2018, and 2019 (from February to June) was 229.4, 218, and 205.8 mm, respectively. The mean temperature during the experimental periods was 18.2 °C for 2017, 19.5 °C for 2018, and 17.2 °C for 2019.
The experimental area was, in total, 302 m2. The experiment was set up in a split-plot design with three replications, two main plots (plant densities: 200 and 300 plants m−2) and four sub-plots (fertilization treatments: control (untreated), seaweed compost (2000 kg ha−1 Posidonia 1.98%N, Compost Hellas S.A., Piraeus, Greece), farmyard manure (2000 kg ha−1, solid, 1.52%N), and inorganic fertilizer (300 kg ha−1 Enpeka 15-15-15+5 S by Compo Expert GmbH, Münster, Germany)) (Table 2). The amount of each type of fertilizer used in the current experiment is the general recommended dose of the corresponding type of fertilizer for N. sativa production in clay-loam soils [3,12]. The main plot and sub-plot sizes were 42.25 m2 (6.5 m × 6.5 m) and 9 m2 (3 m × 3 m), respectively. Each year, two days prior to the sowing, the soil was prepared by mouldboard ploughing at a depth 0.25 m. Fertilizers were applied as basal dressing through broadcasting by hand and incorporated with the soil by harrowing. N. sativa seeds were broadcasted by hand in rows 30 cm apart at a depth of 0.5–1 cm. The sowing rate was 50 kg ha−1, and seed sowing was performed on February 1st in all experimental years (2017, 2018, and 2019). Emergence was on the 25th, 19th, and 27th of February in 2017, 2018, and 2019, respectively. Seedlings were thinned at the 4-true leaf stage to the examined plant densities, which were 200 and 300 plants m−2. Throughout the experimental periods, there was no incidence of pest or disease on N. sativa crop. Weeds were controlled by hand-hoeing when needed and before canopy closure.

2.2. Sampling, Measurements, and Methods

As for soil measurements, two topsoil samples (0–30 cm) from each sub-plot were collected at 100 Days After Sowing (DAS). The soil samples were air-dried at room temperature (25 °C), after removing debris, roots, and stones through a square-hole 2-mm sieve and then saved for evaluating soil organic matter (SOM) and soil total nitrogen (STN). The SOM was measured using the wet oxidation method of Walkley and Black [41] and the STN was determined by the Kjeldahl method [42] using a Büchi B-316 (Buchi Labortechnik AG, Flawil, Switzerland) device in order to combust and extract the soil sample.
Plant height and Leaf Area Index (LAI) were determined 85 DAS on ten randomly selected plants from each sub-plot. Leaf area was measured using an automatic leaf area meter (Delta-T Devices Ltd., Burwell, Cambridge, UK). As a result, the plant-based measurements were converted into a LAI by dividing the readings by the plant density of each plot. Moreover, 10 plant samples were randomly collected from each sub-plot at 45, 60, 75, 85, 100, and 115 DAS. The plants were separated into stems, flowers, fruits, seeds, green and yellow leaves, and weighted before being oven-dried for 48 h at 64 °C. The total nitrogen content of all plant samples was determined by grinding them to a fine powder. In addition, the total nitrogen content of the aerial biomass and the seeds was measured by applying the Kjeldahl procedure using a Kjeltec 8400 auto-analyzer (Foss Tecator AB, Höganäs, Sweden). Total plant nitrogen uptake was calculated as nitrogen absorption in the total above-ground (aerial biomass + seeds) dry matter at the time of maturity (115 DAS). For the assessment of the total nitrogen content and nitrogen uptake, the following nitrogen indices were utilized:
Nitrogen Harvest Index (NHI) was defined as given by Ye et al. [43]:
NHI = s e e d   N   u p t a k e   ( kg   N   ha 1 )   t o t a l   p l a n t   N   u p t a k e   ( kg   N   ha 1 )
Nitrogen Use Efficiency (NUE) was assessed using the indices, Apparent Nitrogen Recovery Efficiency (ANRE), Nitrogen Utilization Efficiency (NUtE), and Nitrogen Agronomic Efficiency (NAE), which were calculated according to Fageria and Baligar [35] and Ye et al. [43], as follows:
ANRE   ( % ) = t o t a l   N   u p t a k e   o f   t h e   f e r t i l i z e d   p l o t   ( kg   N   ha 1 ) t o t a l   N   u p t a k e   o f   t h e   u n f e r t i l i z e d   p l o t   ( kg   N   ha 1 ) q u a n t i t y   o f   N   a p p l i e d   ( kg   N   ha 1 )   ×   100  
NUtE = s e e d   y i e l d   ( kg   ha 1 )   t o t a l   p l a n t   N   u p t a k e   ( kg   N   ha 1 )  
NAE = s e e d   y i e l d   o f   t h e   f e r t i l i z e d   p l o t   ( kg   ha 1 ) s e e d   y i e l d   o f   t h e   u n f e r t i l i z e d   p l o t   ( kg   ha 1 )     q u a n t i t y   o f   N   a p p l i e d   ( kg   N   ha 1 )  
Finally, the plants were harvested at full seed maturity (seed moisture 12%) on 3 June 2017 (122 DAS), on 6 June 2018 (125 DAS), and on 8 June 2019 (127 DAS). The seed yield and the weight of 1000 seeds were determined by plants derived from the middle sub-plot area (1 m2). Harvest index (HI) was calculated by divining seed yield by the biological yield (whole weight of plants derived for seed yield).

2.3. Statistical Analysis

Statistical analysis was carried out using the SigmaPlot 12 statistical software (Systat Software Inc., San Jose, CA, USA). The trait data generated by plant density and fertilization treatments over the 3-year experiment were assessed using a 3 × 2 × 4 factorial design (three years; two plant density treatments and four fertilization treatments) set up in a split-plot design with three replications. A mixed model was used for the analysis of variance (ANOVA), with years and replications as random effects and plant density and fertilization as fixed effects. Tukey’s honestly significant difference test (Tukey’s HSD) was used to separate mean differences. In order to estimate the levels of correlation between the variables studied, a simple regression analysis was performed. All comparisons were performed at the 5% level of significance.

3. Results

The results of the three-year data analysis (Table 3) indicated that plant density × fertilization interaction was significant on biomass nitrogen (N) content, seed N uptake, and N utilization efficiency. Moreover, the interaction of year × plant density was significant for seed yield, seed N uptake, and N utilization efficiency. The main effects of plant density and fertilization application were significant on productivity and nitrogen uptake and utilization efficiency of N. sativa crop. The fertilization regimes had a significant impact on soil properties. In addition, the main effect of the year was statistically significant on soil total nitrogen (STN), plant height, seed N content, and N utilization efficiency (NUtE) (Table 3).

3.1. Soil Properties

Soil properties as affected by different plant densities and fertilization regimes during the 3-year experiment are presented in Table 4.
Soil organic matter (SOM) is a chemical and biological soil characteristic that serves as a major organic nitrogen nutrient pool and a substrate for microbial activity. As presented in Table 4, during the experiment, the SOM was significantly affected by fertilization and raised after the application of organic fertilizers. In particular, the fertilizations with manure and compost gradually increased the levels of SOM during the experimental periods, with the highest values (2.115% and 2.064% for manure and compost, respectively) obtained in the third year (2019) of the experiment. In contrast, the application of inorganic fertilizer tended to decrease the SOM content in the course of time, with the lowest value (1.614%) observed in the last year (2019) of this study.
Soil total nitrogen (STN) is identified as an organic matter component, and its levels are enhanced by the application of organic fertilizers. According to Table 4, fertilization only had a significant effect on STN. The STN was significantly higher in the treatments with manure and compost. The highest values were noticed in manure (0.153%, 0.174% and 0.178%, for 2017, 2018, and 2019, respectively) which had no statistically significant differences with compost (0.150%, 0.167%, and 0.175%, for 2017, 2018, and 2019, respectively). Because of the continuous fertilization with organic fertilizers, the final rates of STN were increased by 16.4% and 16.0% in manure and compost, respectively, compared to the first year (2017) of the study.

3.2. Growth, Seed Yield and Yield Components of N. sativa

The results of the present study indicated that the plant height of N. sativa was affected by both plant density and fertilization (Table 5). Plant height was higher in the low-density plants (200 plants m−2) than in high-density plots (300 plants m−2) during the experimental periods, with the values of low-density plants being 58.8, 51.6, and 59.6 cm in 2017, 2018, and 2019, respectively. In response to fertilizers, the plant height increased up to the inorganic fertilization with the averaged values being 61.7, 55.2, and 63.5 cm in the first, second, and third year of the experiment, respectively.
According to the combined analysis of variance (Table 3) and Table 5, leaf area index (LAI) was significantly influenced by plant density and fertilization. With the exception of the second year (2018) of the current study, the LAI was significantly higher in the high-density plots (300 plants m−2), and values were 2.195 and 2.308 m2 m−2 for the years 2017 and 2019, respectively. Concerning the effect of fertilization, averaged over the year and plant densities, the mean values of LAI were higher in the inorganic treatment (2.778 m2 m−2) followed by compost (2.417 m2 m−2), manure (1.798 m2 m−2), and control (1.396 m2 m−2).
Seed yield was affected by both examined factors during the experimental periods. Concerning the plant density effect, the seed yields observed in low-density plots (677.3, 602.0, and 699.5 kg ha−1 in 2017, 2018, and 2019, respectively) were higher than in high-density plots (446.8, 506.5, and 455.9 kg ha−1 in 2017, 2018, and 2019, respectively). As for the fertilization effect, the highest seed yields were found in plots with inorganic fertilization (677.7, 703.4 and 706.3 kg ha−1 in 2017, 2018 and 2019, respectively) and compost (636.4, 619.8 and 665.3 kg ha−1 in 2017, 2018 and 2019, respectively) (Figure 2).
Harvest index (HI) was not affected by fertilization, but it was only influenced by the different plant densities (Table 6). Specifically, the highest HI were found in the case of low-density treatment, with the values being 0.231, 0.229, and 0.233 in 2017, 2018, and 2019, respectively, while the lowest values (0.119, 0.153 and 0.120 in 2017, 2018, and 2019, respectively) were obtained from the high-density plots.
Concerning the thousand seed weight, there were no significant differences between the high- and low-density plots; although, the plants of low-density treatment presented slightly higher values of this trait (1.559, 1.546 and 1.545 g in 2017, 2018 and 2019, respectively) than those of the high-density treatment (1.533, 1.531 and 1.516 g for the respective years). In the same manner, the effect of fertilization was not found to be statistically significant throughout the experimental periods; however, slightly higher values (1.626, 1.604, and 1.630 g in 2017, 2018, and 2019, respectively) were achieved in the plots fertilized with the inorganic fertilizer.

3.3. Nitrogen Content and Uptake in the Aerial Components of N. sativa

The effects of the plant density and fertilization on the biomass nitrogen (N) content of N. sativa are presented in Table 7. The maximum values were achieved in the timespan between blooming and full flowering (75 DAS) [44]. In the low-density plants, the values of biomass N content were substantially higher (3.08, 3.25, and 3.13%N in 2017, 2018, and 2019, respectively) than the high-density treatment (2.74, 2.86 and 2.81%N for the respective years). In addition, the mean values of biomass N provided good evidence of the effect of fertilization treatments. Averaged over plant densities and years, the highest values were found in inorganic fertilization (3.58%N) followed by compost (3.16%N), manure (2.88%N), and control (2.30%N).
Nitrogen (N) uptake in the aerial biomass was estimated by multiplying the N content of the aerial biomass and the aerial biomass yield at the time of maturity (115 DAS). According to the combined analysis (Table 3), N uptake of the aerial biomass was influenced by the plant density and fertilization. Averaged over fertilization treatments, the highest yields (59.57, 52.14, and 50.18 kg N ha−1 in 2017, 2018, and 2019, respectively) were recorded when plants subjected to high-density (Table 8). During the three-year experiment, the mean values of biomass N uptake were greatest in the inorganic treatment (59.05, 53.13, and 56.09 kg N ha−1 in 2017, 2018, and 2019, respectively) followed by compost (60.23, 54.84, and 49.75 kg N ha−1 in 2017, 2018, and 2019, respectively), while the lowest values (32.96, 32.92, and 29.99 kg N ha−1 for the respective years) were found in the untreated (control) plants.
Seed nitrogen (N) content was significantly influenced by both plant density and fertilization during the three-year experiment. With the exception of the third year (2019), the seed N content was substantially higher in the plants of low-density plots, and the values were 3.70 and 3.72% N for the years 2017 and 2018, respectively (Table 8). In response to fertilization, the highest seed N content was achieved in inorganic fertilization (4.19, 4.10, and 3.98% N in 2017, 2018, and 2019, respectively) followed by compost (3.71, 3.64, and 3.55% N in 2017, 2018, and 2019, respectively) and manure (3.38, 3.38, and 3.46% N for the respective years) treatments.
Nitrogen (N) uptake in seeds was defined by multiplying the N content of the seeds with the seed yield. The results of the experiment indicated that seed N uptake were affected by the plant density and fertilization during the experimental periods. In regard to plant density, the highest values (25.66, 22.91, and 24.20 kg N ha−1 in 2017, 2018, and 2019, respectively) were obtained when plants were subjected to low density (200 plants m−2). The highest seed N uptake value was achieved in inorganic fertilization treatment with the values being 28.68 (134% higher than control), 29.15 (166% higher than control), and 27.98 kg N ha−1 (204% higher than control) in 2017, 2018, and 2019, respectively (Table 8).
Total plant nitrogen (N) uptake was determined by multiplying the N content of total above-ground (aerial biomass + seeds) dry matter and the total above-ground dry matter yield at the time of maturity (115 DAS). Total plant N uptake was significantly affected by the different plant density and fertilization treatments. Averaged over years and fertilization treatments, the highest value (69.84 kg N ha−1) was recorded when plants were subjected to high density (Table 8). Concerning the effect of fertilization, the highest total plant N uptake values, averaged over years and plant density treatments, were achieved in inorganic fertilization (84.69 kg N ha−1) and compost (78.30 kg N ha−1), while the lowest value (42.76 kg N ha−1) was obtained in the untreated (control) plot.

3.4. Nitrogen Use Efficiency of N. sativa

The nitrogen use efficiency of N. sativa crop as affected by different plant densities and fertilization regimes are shown in Table 9.
The nitrogen harvest index (NHI) was affected by both plant density and fertilization during the experimental periods. Concerning the plant density effect, the NHI recorded in low-density plots (0.390, 0.364, and 0.397 in 2017, 2018, and 2019, respectively) were higher than in high-density treatments (0.205, 0.240, and 0.228 in 2017, 2018, and 2019, respectively) (Table 9). Regarding the fertilization treatments, the highest NHI ratios were found in inorganic fertilization (0.348, 0.361, and 0.353 in 2017, 2018, and 2019, respectively).
The results of the experiment indicated that apparent nitrogen recovery efficiency (ANRE) was not affected by plant density during the experimental periods; although, the plants of low-density treatment presented slightly higher values of this index (93.83, 80.60, and 90.59% in 2017, 2018, and 2019, respectively) than those of the high-density treatment (76.49, 66.89 and 66.80% for the respective years). Concerning the effect of fertilization, this had a great impact on ANRE during the third year (2019) of the experiment, with the mean values being 99.67, 85.88 and 50.33% for application of inorganic fertilizer, compost, and manure, respectively (Table 7).
Nitrogen utilization efficiency (NUtE) was significantly higher in the low-density plants (200 plants m−2) than in high-density plants (300 plants m−2) during the experimental periods, with the values in low-density plants being 10.72, 9.86, and 12.14 kg kg−1 in 2017, 2018, and 2019, respectively (Table 9). In response to fertilization, this has a significant effect in the first (2017) and third year (2019) of the experiment, and the highest value was found in the control (9.99 and 11.39 kg kg−1 in 2017 and 2019, respectively), followed by inorganic fertilization (8.27 and 8.83 kg kg−1 in 2017 and 2019, respectively) manure (7.94 and 9.30 kg kg−1 in 2017 and 2019, respectively), and compost (7.64 and 9.11 kg kg−1 in 2017 and 2019, respectively).
Nitrogen agronomic efficiency (NAE) did not differ among plant densities in 2017 and 2018; however, significant differences were found in the third year (2019) of the experiment, where the highest value (6.61 kg kg−1) was obtained in low-density plants (Table 9). With the exception of the second year (2018) of the present study, the NAE ratio was significantly higher in inorganic fertilization (5.51 and 6.24 kg kg−1 in 2017 and 2019, respectively) and compost treatments (5.16 and 5.99 kg kg−1 in 2017 and 2019, respectively).

4. Discussion

Organic fertilizers typically increase soil microbial mass by providing carbon-rich organic compounds to the generally low-carbon microbial communities present in arable soils [45]. The incorporation of organic fertilizers can increase soil microbial activity by between 16% and 20% compared to inorganic fertilizers [46,47]. In addition, several studies have found that the application of organic fertilizers leads to an increase in enzymatic activities involved in the release of major macronutrients for plants [46,47]. Consequently, organic fertilizers can stimulate soil microbial processes and increase crop yields compared to inorganic fertilization. This property has been associated with increased organic matter and soil fertility after the continuous application of organic fertilizers [45]. Indeed, in the present study, organic fertilizers and their application resulted in a higher content of organic matter than inorganic fertilizer (Table 4). The concentration of soil organic matter (SOM) during the three-year experiment increased compared to the initial concentration by 6% and 6.2% in the manure and compost plots, respectively, while it decreased by 7.5% in the inorganic fertilization plots. In general, the continuous use of inorganic fertilizers can reduce organic matter reserves as it enhances its mineralization [48] with the consequent reduction of cultivated soil quality and even the increase of soil acidification and environmental pollution [49].
Soil total nitrogen (STN) is recognized as a factor that is important for soil fertility in both managed and natural ecosystems [50] and may reflect the nitrogen status of the soil. In the present study, the average STN was affected by the type of fertilizer. All fertilization systems had a very significant influence on increasing the STN (Table 4). In particular, manure and compost were found to have the greatest effect on increasing the STN, while, with the exception of the control, the least positive effect was observed in the case of inorganic fertilizer. The beneficial effect of the continuous application of manure on the increase of STN has also been reported by Sadej and Przekwas [51] and Zhengchao et al. [52]. Specifically, continuous application of organic fertilizer can accelerate the activation of soil nutrients, improve soil nutrient content, maintain available nutrient balance, and then improve soil fertility [53].
In the surface layer of most soils, about 90–98% of the STN occurs in organic forms [54]. STN, according to its origin, can be divided into two broad categories: (a) nitrogen from organic residues, consisting of residues of plant or animal origin that have not been treated and partially decomposed products, and (b) nitrogen from soil organic matter or humus [54]. Therefore, the amount of total nitrogen in the soil is directly affected by the soil organic matter (SOM) and indirectly by the factors that affect the organic matter, such as fertilization. This is also proved by the significant linear correlation between the SOM and STN (r = 0.5515, p ≤ 0.001; Table 10).
Plant height received the highest values at a plant density of 200 plants m−2 with a 3-year average value being 23% higher compared to the plant density of 300 plants m−2. A similar response of plant height to plant density has been reported by Mollafilabi et al. [55], who found that height increased with increasing plant density to 180 plants m−2, and then decreased with further density increase. The increase in height at high plant densities is probably caused by the elongation of the shoots and the increase in the number of nodes per plant due to mutual shading [55,56,57]. Specifically, mutual shading results in the accumulation of auxin, which, as a bioactive hormone, stimulates cell division and elongation [58]. The decrease in height above the optimal plant density is caused by competition between plants for factors that contribute to their growth, such as soil moisture, light, and nutrients [56].
Regarding the effect of fertilization on plant height, statistically significant differences were observed between the fertilization systems with the highest values being found in inorganic fertilization and compost, followed by manure, while the lowest value was found in the control (Table 5). The increase in height of plants with different sources of nitrogen can be attributed to the fact that nitrogen, which promotes plant growth, increases the number and length of internodes resulting in a gradual increase in height [59]. The addition of nitrogen (up to the optimal level) increases the production of cytokines, which in turn affects the elasticity of cell walls [60], the number of meristematic cells and cell growth [61]. In the present study, the significant increase in plant height achieved with the application of inorganic fertilizer and compost was due to the fact that they provided greater and similar amounts of nitrogen available to the plants than manure, but also control, where observed lower values due to insufficient supply of nutrients [62].
Compost generally improves soil fertility by playing an essential role in improving the physicochemical and biological properties of the soil. In addition to preserving and improving soils, it also acts as slow-release fertilizer during mineralization compared to inorganic fertilizers, most of which are very soluble when applied to the soil. In particular, the application of compost can increase the organic matter of the soil. The organic matter of the soil improves its structure and at the same time increases the availability of nutrients. The availability of organic matter also contributes to crop growth and yield by directly providing nutrients and indirectly modifying soil physical properties, such as soil aggregate stability and porosity, which can improve root growth, rhizosphere, and promote plant growth [63]. Moreover, compared to manure, composts contain a higher amount of humic substances [64]. Humic substances are heterogeneous organic macromolecules consisting of humic acids (HAs), fulvic acids (FAs) and humine. Humic substances improve soil fertility by improving the physicochemical properties of the soil and, in particular, by improving the structure of the soil as a source of nutrients and trace elements for the intake of plants with induced activities of microflora and fauna, which are important in the life cycle on Earth. In addition, they affect the physiological, metabolic, and growth processes of plants. Finally, humic substances activate the plasma membrane H-ATPase, respiration, and activation of genes involved in nitrate (NO3) uptake in plants [65,66]. Thus, compost could constitute a valuable alternative fertilization source to increase crop production.
The leaf area index (LAI) was significantly affected by both sowing density and fertilization. Regarding the effect of plant density, it was observed that with increasing density, the LAI increased. The increase in LAI with the increase in plant density is related to the effective inhibition of light [67] and can therefore enable higher plant densities to achieve higher photosynthetic production per unit area and higher biomass production [68]. This result is also supported by the significant and positive correlations of LAI with total above-ground dry matter (r = 0.8371, p ≤ 0.001; data not shown). In terms of fertilization, this had a positive effect on the LAI ratio, with the highest values being found in plants that received inorganic fertilizer. These findings are consistent with the findings of Özgüven and Serekoglu [69] and Tuncturk et al. [3], which shows the positive effect of increasing nitrogen levels on the leaf area of N. sativa plants.
Plant density had a significant effect on seed yield of N. sativa crop throughout the three-year experiment. Seed yield was higher at the plant density of 200 plants m−2 with the three-year average value being 40.4% higher than the density of 300 plants m−2. According to the study of Mollafilabi et al. [55], it was found that the highest seed yield in N. sativa was achieved at a sowing density of 180 m−2 plants (809 kg ha−1) and an increase in density to 240 plants m−2 reduced the yield by 38%. In terms of fertilization, there was a significant effect of different fertilizations on the seed yield of N. sativa. In particular, the three-year average value of seed yield was statistically significantly higher in the plots that had received the inorganic fertilizer (696 kg ha−1), with the compost (641 kg ha−1) following, while the lowest yield presented by the control (414 kg ha−1). According to several authors, higher yields have been observed in various crop fertilizers with inorganic fertilizers, as these fertilizers, in relation to the organic ones, contained soluble inorganic nitrogen with rapid availability to the cultivated plant species resulting in greater growth and higher yields [29,70,71,72]. This result is also supported by the significant and positive correlations of seed yield with plant height (r = 0.7711, p ≤ 0.001; Table 10), total above-ground dry matter (r = 0.5467, p ≤ 0.001; data not shown), and LAI (r = 0.4676, p ≤ 0.001; Table 10).
The harvest index (HI) had a negative response to the increase in sowing density (Table 6). The highest value of the index was recorded at the low plant density (200 plants m−2) with the 3-year average being 76.8% higher compared to the high plant density (300 plants m−2). In general, it has been observed that the harvest index can be increased and maintained as relatively stable over a wide range of sowing densities, and decreases linearly when sowing density is above the optimum for crop yield or when dry weight per plant during maturation is too low or too high [73]. Regarding fertilization, the highest values of the harvest index were found after the application of inorganic fertilizer (Table 6). These results are consistent with the findings of Yimam et al. [74], where they argued that an adequate increase and supply of nitrogen in N. sativa, up to 60 kg N ha−1, may be associated with strong vegetative growth and efficient use of available nutrients, which may lead to higher productivity, with higher yields and higher harvest index.
The thousand seed weight was not affected by either the seed density or the different fertilizations. At this point, it is worth noting that the plants of low plant density, as well as the plants of inorganic fertilization, showed slightly higher values (Table 6). Their mean values ranged from 1.476–1.630 g. In various studies, the thousand seed weight of N. sativa ranged from 1.77 g [56] to 3.50 g [75]; however, the results of the present study showed that this was lower than that referred to the international literature. In general, the thousand seed weight is affected by a wide range of factors such as variety, cultivation techniques, climatic factors as well as soil properties. According to the study of Talafih et al. [57], increasing the sowing rate of N. sativa from 35 to 40 kg of seed per hectare resulted in a reduction in the thousand seed weight by 3%. In contrast, in the study of Toncer and Kizil [56], increasing the sowing rate from 10 to 50 kg of seed per hectare did not significantly change the thousand seed weight. Moreover, Özgüven and Serekoglu [69] observed that the increase in nitrogen levels (from 0 to 90 kg N ha−1) did not affect the weight of the thousand seeds of N. sativa, but the increase in phosphorus levels (from 0 to 60 kg P2O5 ha−1) had a significant effect on this trait.
The results of the nitrogen (N) content of the above-ground biomass and the seeds of N. sativa are presented in Table 7 and Table 8, respectively. The seed N content of N. sativa was positively affected by the content of total N in the biomass. This is confirmed by the significantly high and positive linear correlation between these two parameters (r = 0.8245, p ≤ 0.001), as shown in Table 10. Increasing the amount of N available for plant uptake increases the vegetative growth, resulting in a higher percentage of N in the plant [76]. The fact that the administered N is one of the most important elements in increasing the content of total N in the seeds is shown by the fact that the increased amount of available N in the plant caused an increase in the accumulation of this element in the seeds. These results are similar to those of other researchers who reported that N concentrations in plant shoots and then in seeds increased with increasing amount of available N [76,77,78].
Seed nitrogen (N) uptake was significantly affected by seed density and fertilization during the three-year experiment. N uptake into seeds received the highest values at the sowing density of 200 plants m−2 with the 3-year average value being 71% higher than the sowing density of 300 plants m−2. Concerning the effect of fertilization, the highest mean value of the three experimental years was found in inorganic fertilization (28.6 kg N ha−1), while the lowest value was presented in the control (10.8 kg N ha−1).
Regarding the absorption of nitrogen (N) in total above-ground dry matter (Total plant N uptake), the combined analysis of variability showed that both examined factors significantly influenced this characteristic. In particular, the high plant density (300 plants m−2) with a 3-year average value of 69.8 kg N ha−1, was significantly superior to that of the 200 plants m−2 with a 3-year average value of 6.29 kg N ha−1. In terms of fertilization, the highest average three-3 values were recorded in inorganic fertilization and compost, with the values being 97.9% and 82.9% higher than the control, respectively (Table 8).
The response trends for N uptake into seeds and total above-ground biomass at different levels of fertilization and seed density are similar to crop yield and total crop dry weight, respectively, as determined and described by Raymond et al. [77] and Johnson et al. [79]. In the present study, this is confirmed by the significant positive correlations of seed N uptake with seed yield (r = 0.9413, p ≤ 0.001; Table 10) and total plant N uptake with total above-ground biomass of the crop (r = 0.7770, p ≤ 0.001; data not shown). In general, increased nitrogen uptake with increased nitrogen availability and an increase in sowing density can be attributed to increased dry matter production and also to increased nitrogen concentration in plant tissues [77,80].
The nitrogen harvest index (NHI) is an important indicator for measuring the retranslocation efficiency of absorbed nitrogen from the vegetative parts of the plant to its seeds. This indicator is very useful for measuring the nitrogen distribution in cultivated plants, providing an indication of how efficiently the absorbed nitrogen was used for seed production [35]. High NHI values indicate increased nitrogen distribution in seeds [81]. Indeed, the effect of plant density and fertilization on the NHI index was proportional to that of the harvest index (HI). Specifically, the NHI index received the highest values in the sowing density of 200 plants m−2 with the 3-year average value being 71% higher than the sowing density of 300 plants m−2. Regarding the effect of fertilization, statistically significant differences were observed between the fertilization systems with the highest 3-year mean value being found in inorganic fertilization (0.3539), while the lowest value was found in the control (0.2634).
The apparent nitrogen recovery efficiency (ANRE) index depends on the correlation between the demand of the crop for nitrogen and the amount of nitrogen released from the nitrogen applied to the crop [82]. The index showed the highest values in the sub-plots of inorganic fertilization and compost. For the three-year experiment, averaged values were 93.18% for inorganic fertilizer, 88.85% for compost, and 55.58% for manure. These data are consistent with other studies where the higher the available nitrogen levels in the soil, the higher the ANRE index, provided that the amounts of fertilizer applied are not high enough in relation to the optimum for cultivation, since there the specific index can be significantly reduced [83,84]. As noted above, plant density and fertilization had a significant effect on seed yield and harvest index (HI). The NUtE index also represents the ability of a plant to convert uptake of N into seeds [23]. Therefore, significant positive correlations of the NUtE index with seed yield and HI of the crop were expected (r = 0.3714, p ≤ 0.001; r = 0.7525, p ≤ 0.001, respectively; Table 10).
The nitrogen agronomic efficiency (NAE) index describes the ability of the crop to increase its seed yield relative to the amount of applied N. In the present study, the combined analysis of variance showed that plant density and fertilization had an equally significant effect on the NAE index. Specifically, the NAE index received the highest values in the sowing density of 200 plants m−2 with the 3-year average value being 68.4% higher than the sowing density of 300 plants m−2. Regarding the effect of fertilization, the highest average 3-year values were recorded in inorganic fertilization and compost, with the values being 101.9% and 82.6% higher than the control, respectively. By definition, the NAE index is significantly positively correlated with seed yield (r = 0.6894, p ≤ 0.001; Table 10). Therefore, considering the above, it is understood that the ideal plant density for seed production is 200 plants m−2, while the ideal types of fertilization are inorganic and compost, since they did not differ statistically significantly between each other. Similar behavior of the NAE index at increasing levels of available N has been reported in other crops, such as wheat [85], cotton [84], and maize [86]. Moreover, Yan et al. [87], studying the effect of sowing density of maize on the NAE index, found that when the sowing density exceeds its ideal density (optimum), the NAE index begins to decrease significantly.

5. Conclusions

According to the results of the present study and their evaluation, soil parameters were affected only by fertilization. In particular, the application of organic fertilizers (manure and compost) for three consecutive years significantly increased the content of organic matter (SOM) and soil total nitrogen (STN). Growth parameters and yield of N. sativa were affected by both plant density and fertilization. Plant height showed the highest values in the plants of the plant density of 200 m−2 plants, as well as in those that had received inorganic fertilizer or compost. At the level of crop, the leaf area expressed by the leaf area index (LAI) ratio, increased with increasing plant density and the highest values were found in the density of 300 m−2 plants. In addition, fertilization had a significant effect on the trait with the highest ratio found after the application of inorganic fertilizer. In the same manner, seed yield was negatively affected by the increase in plant density and positively by the application of fertilizer with the highest values found in plants with low seed density and those that had received inorganic fertilizer. Regarding the harvest index (HI), similar results were followed to those of seed yield. The absorption of total nitrogen in the seeds (Seed N uptake) as well as the nitrogen harvest index (NHI) were positively affected by the increase of available nitrogen and negatively by the increase of sowing density, with their highest values found in the plant density of 200 plants m−2 and inorganic fertilization. The absorption of total nitrogen in the total above-ground biomass of the crop (Total Plant N uptake) presented the highest values in high plant density and inorganic fertilizer; however, the application of compost was also equally important. The apparent nitrogen recovery efficiency (ANRE) ratio was only affected by fertilization with values indicating that inorganic fertilizer and compost had no significant difference. In addition, nitrogen utilization efficiency (NUtE) declined by the increase in plant density and available nitrogen. Also, the nitrogen agronomic efficiency (NAE) index showed that sowing densities greater than 200 m−2 plants result in a decrease in the index, while an increase of available nitrogen led to an increase in the index with the highest values being found in inorganic fertilizer and compost. As a conclusion, plant densities greater than 200 plants m−2 result in higher crop growth but lower seed yield and decreased nitrogen uptake and use efficiency in N. sativa seeds, whereas the application of inorganic fertilizers (at a rate of 45 kg N ha−1) increases crop yield, nitrogen uptake, and utilization efficiency because these fertilizers present higher nitrogen levels with higher solubility and thus, faster availability for the crop in comparison with organic fertilizers. Moreover, further research should be conducted, as in recent years the demand for organic medicinal products increased the tendency to medicinal plant cultivation with the use of organic inputs, and according to this study, seaweed compost seems to be a valuable alternative fertilization source to increase N. sativa crop production in organic cultivation systems.

Author Contributions

Conceptualization: I.R., I.K. and D.B. (Dimitrios Bilalis); methodology: I.R., I.K., D.B. (Dimitrios Beslemes), E.T., C.K., V.T., A.M., A.Z. and D.B. (Dimitrios Bilalis); validation: I.R., I.K. and D.B. (Dimitrios Bilalis); formal analysis: I.R. and I.K.; investigation: I.R., I.K, D.B. (Dimitrios Beslemes), E.T., C.K., V.T., A.Z. and D.B. (Dimitrios Bilalis); resources: I.R., I.K. and A.M.; writing—original draft preparation: I.R., I.K. and D.B. (Dimitrios Bilalis); writing—review and editing: I.R., I.K. and D.B. (Dimitrios Bilalis); supervision: I.R. and D.B. (Dimitrios Bilalis). All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated or analyzed during this study are included in this published article. Further inquiries can be addressed to the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Iqbal, M.S.; Qureshi, A.S.; Ghafoor, A. Evaluation of Nigella sativa L. for genetic variation and ex-situ conservation. Pak. J. Bot. 2010, 42, 2489–2495. [Google Scholar]
  2. Burits, M.; Bucar, F. Antioxidant activity of Nigella sativa essential oil. Phytother. Res. 2000, 14, 323–328. [Google Scholar] [PubMed]
  3. Tuncturk, R.; Tuncturk, M.; Ciftci, V. The effects of varying nitrogen doses on yield and some yield components of black cumin (Nigella sativa L.). Adv. Environ. Biol. 2012, 6, 855–885. [Google Scholar]
  4. Riaz, M.; Syed, M.; Chaudhary, F.M. Chemistry of the medicinal plants of the genus Nigella. Hamdard Med. 1996, 39, 40–45. [Google Scholar]
  5. Ahmad, A.; Husain, A.; Mujeeb, M.; Khan, S.A.; Najmi, A.K.; Siddique, N.A.; Damanhouri, Z.A.; Anwar, F. A review on therapeutic potential of Nigella sativa: A miracle herb. Asian Pac. J. Trop. Biomed. 2013, 3, 337–352. [Google Scholar]
  6. Ashraf, M.; Ali, Q.; Iqbal, Z. Effect of nitrogen application rate on the content and composition of oil, essential oil and minerals in black cumin (Nigella sativa L.) seeds. J. Sci. Food Agric. 2006, 86, 871–876. [Google Scholar]
  7. Piras, A.; Rosa, A.; Marongiu, B.; Porcedda, S.; Falconieri, D.; Dessi, M.A.; Ozcelik, B.; Koca, U. Chemical composition and in vitro bioactivity of the volatile and fixed oils of Nigella sativa L. extracted by supercritical carbon dioxide. Ind. Crop. Prod. 2013, 46, 317–323. [Google Scholar]
  8. Banerjee, S.; Padhye, S.; Azmi, A.; Wang, Z.; Philip, P.A.; Kucuk, O.; Sarkar, F.H.; Mohammad, R.M. Review on molecular and therapeutic potential of thymoquinone in cancer. Nutr. Cancer 2010, 62, 938–946. [Google Scholar]
  9. Karna, S.K.L. Phytochemical screening and gas chromatography-mass spectrometry and analysis of grain extract of Nigella sativa. Int. J. Chem. Stud. 2013, 1, 183–188. [Google Scholar]
  10. Razavi, B.M.; Hosseinzadeh, H. A review of the effects of Nigella sativa L. and its constituent, thymoquinone, in metabolic syndrome. J. Endocrinol. Investig. 2014, 37, 1031–1040. [Google Scholar]
  11. European Commission (EC). EU Novel Food Catalogue (v.1.1). Available online: http://ec.europa.eu/food/safety/novel_food/catalogue/search/public/?event=home&seqfce=226&ascii=N (accessed on 18 February 2022).
  12. Kakabouki, I.; Tataridas, A.; Mavroeidis, A.; Kousta, A.; Roussis, I.; Katsenios, N.; Efthimiadou, A.; Papastylianou, P. Introduction of alternative crops in the Mediterranean to satisfy EU Green Deal goals. A review. Agron. Sustain. Dev. 2021, 41, 71. [Google Scholar]
  13. Nasr, A.S.; Attia, A.I.; Rashwan, A.A.; Abdine, A.M.M. Growth performance of New Zealand white rabbits as affected by partial replacement of diet with Nigella sativa or soybean meals. Egypt. J. Rabbit. Sci. 1996, 6, 129–141. [Google Scholar]
  14. Akhtar, M.S.; Nasir, Z.; Abid, A.R. Effect of feeding powdered Nigella sativa L. seeds on poultry egg production and their suitability for human consumption. Vet. Arh. 2003, 73, 181–190. [Google Scholar]
  15. Abo El-Nor, S.A.H.; Khattab, H.M.; Al-Alamy, H.A.; Salem, F.A.; Abdou, M.M. Effect of some medicinal plants seeds in the rations on the productive performance of lactating buffaloes. Int. J. Dairy Sci. 2007, 2, 348–355. [Google Scholar]
  16. El-Ghousein, S.S. Effects of some medicinal plants as feed additives on lactating awassi ewe performance, milk composition, lamb growth and relevant blood items. Egypt. J. Anim. Prod. 2010, 47, 37–49. [Google Scholar]
  17. Khan, S.H.; Ansari, J.; Haq, A.u.; Abbas, G. Black cumin seeds as phytogenic product in broiler diets and its effects on performance, blood constituents, immunity and caecal microbial population. Ital. J. Anim. Sci. 2012, 11, 438–444. [Google Scholar]
  18. Kumar, P.; Patra, A.K. Beneficial uses of black cumin (Nigella sativa L.) seeds as a feed additive in poultry nutrition. Worlds Poult. Sci. J. 2017, 73, 872–885. [Google Scholar]
  19. Roussis, I.; Kakabouki, I.; Tsiplakou, E.; Bilalis, D. Influence of plant density and fertilization on yield and crude protein of Nigella sativa L.: An alternative forage and feed source. In Nigella sativa: Properties, Uses and Effects; Berghuis, S., Ed.; Nova Science Publishers, Inc.: Hauppauge, NY, USA, 2020; pp. 145–180. [Google Scholar]
  20. Ju, X.; Christie, P. Calculation of theoretical nitrogen rate for simple nitrogen recommendations in intensive cropping systems: A case study on the North China Plain. Field Crop. Res. 2011, 124, 450–458. [Google Scholar]
  21. Li, X.; Lu, J.; Wu, L.; Chen, F. The difference of potassium dynamics between yellowish red soil and yellow cinnamon soil under rapeseed (Brassica napus L.)–rice (Oryza sativa L.) rotation. Plant Soil 2009, 320, 141–151. [Google Scholar]
  22. Chowdhury, M.A.; Sultana, T.; Rahman, M.A.; Chowdhury, T.; Enyoh, C.E.; Saha, B.K.; Wang, Q. Nitrogen use efficiency and critical leaf N concentration of Aloe vera in urea and diammonium phosphate amended soil. Heliyon 2020, 6, e05718. [Google Scholar]
  23. Montemurro, F.; Diacono, M. Towards a better understanding of agronomic efficiency of nitrogen: Assessment and improvement strategies. Agronomy 2016, 6, 31. [Google Scholar]
  24. Delogu, G.; Cattivelli, L.; Pecchioni, N.; De Falcis, D.; Maggiore, T.; Stanca, A.M. Uptake and agronomic efficiency of nitrogen in winter barley and winter wheat. Eur. J. Agron. 1998, 9, 11–20. [Google Scholar]
  25. Sinclair, T.R.; de Wit, C.T. Photosynthate and nitrogen requirements for seed production by various crops. Science 1975, 18, 565–567. [Google Scholar]
  26. Sainju, U.M.; Senwo, Z.N.; Nyakatawa, E.Z.; Tazisong, I.A.; Reddy, K.C. Soil carbon and nitrogen sequestration as affected by long-term tillage, cropping systems, and nitrogen fertilizer sources. Agric. Ecosyst. Environ. 2008, 127, 234–240. [Google Scholar]
  27. Lin, H.-C.; Huber, J.A.; Gerl, G.; Hülsbergen, K.-J. Nitrogen balances and nitrogen–use efficiency of different organic and conventional farming systems. Nutr. Cycl. Agroecosystems 2016, 105, 1–23. [Google Scholar]
  28. Craswell, E.T.; Godwin, D.C. The efficiency of nitrogen fertilizers applied to cereals in different climates. Adv. Plant Nutr. 1984, 1, 1–55. [Google Scholar]
  29. Kakabouki, I.P.; Hela, D.; Roussis, I.; Papastylianou, P.; Sestras, A.; Bilalis, D.J. Influence of fertilization and soil tillage in quinoa crop (Chenopodium quinoa Willd.). Nitrogen uptake and utilization efficiency. Expression of nitrogen indices. J. Soil Sci. Plant Nutr. 2018, 18, 220–235. [Google Scholar]
  30. Mazzoncini, M.; Sapkota, T.B.; Bàrberi, P.; Antichi, D.; Risaliti, R. Long-term effect of tillage, nitrogen fertilization and cover crops on soil organic carbon and total nitrogen content. Soil Tillage Res. 2011, 114, 165–174. [Google Scholar]
  31. Ren, F.L.; Zhang, X.B.; Liu, J.; Sun, N.; Wu, L.H.; Li, Z.F.; Xu, M.G. A synthetic analysis of greenhouse gas emissions from manure amended agricultural soils in China. Sci. Rep. 2017, 7, 8123. [Google Scholar]
  32. Gong, W.; Yan, X.Y.; Wang, J.Y.; Hu, T.X.; Gong, Y.B. Long-term applications of chemical and organic fertilizers on plant-available nitrogen pools and nitrogen management index. Biol. Fertil. Soils 2011, 47, 767–775. [Google Scholar]
  33. Smith, L.E.D.; Siciliano, G. A comprehensive review of constraints to improved management of fertilizers in China and mitigation of diffuse water pollution from agriculture. Agric. Ecosyst. Environ. 2015, 209, 15–25. [Google Scholar]
  34. Hu, C.; Xia, X.G.; Chen, Y.F.; Qiao, Y.; Liu, D.H.; Fan, J.; Li, S.L. Yield, nitrogen use efficiency and balance response to thirty-five years of fertilization in paddy rice-upland wheat cropping system. Plant Soil Environ. 2019, 65, 55–62. [Google Scholar]
  35. Fageria, N.K.; Baligar, V.C. Enhancing nitrogen use efficiency in crop plants. Adv. Agron. 2005, 88, 97–185. [Google Scholar]
  36. Malinas, A.; Vidican, R.; Rotar, I.; Malinas, C.; Moldovan, C.M.; Proorocu, M. Current Status and Future Prospective for Nitrogen Use Efficiency in Wheat (Triticum aestivum L.). Plants 2022, 11, 217. [Google Scholar] [PubMed]
  37. Zemenchik, R.A.; Albrecht, K.A. Nitrogen use efficiency and apparent nitrogen recovery of Kentucky bluegrass, smooth bromegrass, and orchardgrass. Agron. J. 2002, 94, 421–428. [Google Scholar]
  38. Zhang, Y.; Xu, Z.; Li, J.; Wang, R. Optimum planting density improves resource use efficiency and yield stability of rainfed maize in semiarid climate. Front. Plant Sci. 2021, 12, 752606. [Google Scholar]
  39. Mahler, R.L.; Koehler, F.E.; Lutcher, L.K. Soils. Nitrogen source, timing of application, and placement: Effects on winter wheat production. Agron. J. 1994, 86, 637–642. [Google Scholar]
  40. Fageria, N.K. Nitrogen harvest index and its association with crop yields. J. Plant Nutr. 2014, 37, 795–810. [Google Scholar]
  41. Walkley, A.; Black, I.A. An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Sci. 1934, 37, 29–38. [Google Scholar]
  42. Bremner, J.M.; Mulvaney, C.S. Nitrogen-total. In Methods of Soil Analysis, Part 2, 2nd ed.; Page, A.L., Miller, R.H., Keeny, D.R., Eds.; American Society of Agronomy and Soil Science Society of America: Madison, WI, USA, 1982; pp. 595–624. [Google Scholar]
  43. Ye, Q.; Zhang, H.; Wei, H.; Zhang, Y.; Wang, B.; Xia, K.; Huo, Z.; Dai, Q.; Xu, K. Effects of nitrogen fertilizer on nitrogen use efficiency and yield of rice under different soil conditions. Front. Agric. China 2007, 1, 30–36. [Google Scholar]
  44. Roussis, I.; Kakabouki, I.; Bilalis, D. Comparison of growth indices of Nigella sativa L. under different plant densities and fertilization. Emir. J. Food Agric 2019, 31, 231–247. [Google Scholar]
  45. Diacono, M.; Montemurro, F. Long-term effects of organic amendments on soil fertility. A review. Agron. Sustain. Dev. 2010, 30, 401–422. [Google Scholar]
  46. Dinesh, R.; Srinivasan, V.; Hamza, S.; Manjusha, A. Short-term incorporation of organic manures and biofertilizers influences biochemical and microbial characteristics of soils under an annual crop [Turmeric (Curcuma longa L.)]. Bioresour. Technol. 2010, 101, 4697–4702. [Google Scholar] [PubMed]
  47. González, M.; Gomez, E.; Comese, R.; Quesada, M.; Conti, M. Influence of organic amendments on soil quality potential indicators in an urban horticultural system. Bioresour. Technol. 2010, 101, 8897–8901. [Google Scholar]
  48. Craine, J.; Morrow, C.; Fierer, N. Microbial nitrogen limitation increases decomposition. Ecology 2007, 88, 2105–2113. [Google Scholar]
  49. Guo, P.; Wang, C.; Jia, Y.; Wang, Q.; Hang, G.; Tian, X. Responses of soil microbial biomass and enzymatic activities to fertilizations of mixed inorganic and organic nitrogen at a subtropical forest in East China. Plant Soil 2010, 338, 355–366. [Google Scholar]
  50. Kucharik, C.J.; Brye, K.R.; Norman, J.M.; Foley, J.A.; Gower, S.T.; Bundy, L.G. Measurements and modeling of carbon and nitrogen cycling in agroecosystems of southern Wisconsin: Potential for SOC sequestration during the next 50 years. Ecosystems 2001, 4, 237–258. [Google Scholar]
  51. Sadej, W.; Przekwas, K. Fluctuations of nitrogen levels in soil profile under conditions of a long-term fertilization experiment. Plant Soil Environ. 2008, 54, 197–203. [Google Scholar]
  52. Zhengchao, Z.; Zhuoting, G.; Zhouping, S.; Fuping, Z. Effects of long-term repeated mineral and organic fertilizer applications on soil organic carbon and total nitrogen in a semi-arid cropland. Eur. J. Agron. 2013, 45, 20–26. [Google Scholar]
  53. Huang, S.; Peng, X.X.; Huang, Q.R.; Zhang, W.J. Soil aggregation and organic carbon fractions affected by long term fertilization in a red soil of subtropical China. Geoderma 2010, 154, 364–369. [Google Scholar]
  54. Kelley, K.R.; Stevenson, F.J. Forms and nature of organic N in soil. Fertil. Res. 1995, 42, 1–11. [Google Scholar]
  55. Mollafilabi, A.; Moodi, H.; Rashed, M.H.; Kafi, M. Effects of plant density and nitrogen on yield and yield components of black cumin (Nigella sativa L.). Acta Hortic. 2010, 853, 115–126. [Google Scholar]
  56. Toncer, O.; Kizil, S. Effect of seed rate on agronomic and technologic characters of Nigella sativa L. Int. J. Agric. Biol. 2004, 6, 529–532. [Google Scholar]
  57. Talafih, K.A.; Haddad, N.I.; Hattar, B.I.; Kharallah, K. Effect of some agricultural practices on the productivity of black cumin (Nigella sativa L.) grown under rainfed semi-arid conditions. Jordan J. Agric. Sci. 2007, 3, 385–397. [Google Scholar]
  58. Salisburry, F.B.; Ross, C.W. Plant Physiology, 4th ed.; Wadsworth Publishing: Belmont, CA, USA, 1992. [Google Scholar]
  59. Amin, M.E.-M.H. Effect of different nitrogen sources on growth, yield and quality of fodder maize (Zea mays L.). J. Saudi Soc. Agric. Sci. 2011, 10, 17–23. [Google Scholar]
  60. Bloom, A.J. The increasing importance of distinguishing among plant nitrogen sources. Curr. Opin. Plant Biol. 2015, 25, 10–16. [Google Scholar]
  61. Lawlor, D.W. Carbon and nitrogen assimilation in relation to yield: Mechanisms are the key to understanding production systems. J. Exp. Bot. 2002, 53, 773–787. [Google Scholar]
  62. Hernández, T.; Chocano, C.; Moreno, J.-L.; García, C. Use of compost as an alternative to conventional inorganic fertilizers in intensive lettuce (Lactuca sativa L.) crops—Effects on soil and plant. Soil Tillage Res. 2016, 160, 14–22. [Google Scholar]
  63. Goss, M.J.; Tubeileh, A.; Goorahoo, D. A review of the use of organic amendments and the risk to human health. Adv. Agron. 2013, 120, 275–379. [Google Scholar]
  64. Tittarelli, F.; Petruzzelli, G.; Pezzarossa, B.; Civilini, M.; Benedetti, A.; Sequi, P. Quality and agronomic use of compost. Waste Manag. Ser. 2007, 8, 119–157. [Google Scholar]
  65. Fabbri, D.; Chiavari, G.; Galletti, G.C. Characterization of soil humin by pyrolysis(/methylation)-gas chromatography/mass spectrometry: Structural relationships with humic acids. J. Anal. Appl. Pyrolysis 1996, 37, 161–172. [Google Scholar]
  66. Schmidt, W.; Santi, S.; Pinton, R.; Varanini, Z. Water-extractable humic substances alter root development and epidermal cell pattern in Arabidopsis. Plant Soil 2007, 300, 259–267. [Google Scholar]
  67. Tollenaar, M.; Dibo, A.A.; Aguilera, A.; Weise, S.F.; Swanton, C.J. Effect of crop density on weed interference in maize. Agron. J. 1994, 86, 591–595. [Google Scholar]
  68. Bayu, W.; Rethman, F.G.; Hammes, P.S. Growth and yield compensation in sorghum (Sorghum bicolor L. Moench) as a function of planting density and nitrogen fertilizer in semi-arid areas of northeastern Ethiopia. S. Afr. J. Plant Soil 2005, 22, 76–83. [Google Scholar]
  69. Özgüven, M.; Sekeroglu, N. Agricultural practices for high yield and quality of black cumin (Nigella sativa L.) cultivated in Turkey. Acta Hortic. 2007, 756, 329–338. [Google Scholar]
  70. Hera, C. The role of inorganic fertilizers and their management practices. In Fertilizers and Environment; Rodriguez-Barrueco, C., Ed.; Kluwer Academic Publishers: Norwell, MA, USA, 1996; pp. 131–149. [Google Scholar]
  71. Mengel, D.B.; Rehm, G.W. Fundamentals of fertilizer application. In Handbook of Soil Sciences, Resource Management and Environmental Impacts, 2nd ed.; Huang, P.M., Li, Y., Summer, M.E., Eds.; CRC Press: Boca Raton, FL, USA, 2012; pp. 14-1–14-15. [Google Scholar]
  72. Bilalis, D.; Krokida, M.; Roussis, I.; Papastylianou, P.; Travlos, I.; Cheimona, N.; Dede, A. Effects of organic and inorganic fertilization on yield and quality of processing tomato (Lycopersicon esculentum Mill.). Folia Hortic. 2018, 30, 321–332. [Google Scholar]
  73. Vega, C.R.C.; Sadras, V.O.; Andrade, F.H.; Uhart, S.A. Reproductive allometry in soybean, maize and sunflower. Ann. Bot. 2000, 85, 461–468. [Google Scholar]
  74. Yimam, E.; Nebiyu, A.; Mohammed, A.; Getachew, M. Effect of nitrogen and phosphorus fertilizers on growth, yield, and yield components of black cumin (Nigella sativa L.) at Konta District, South West Ethiopia. J. Agron. 2015, 14, 112–120. [Google Scholar]
  75. Das, A.K.; Sadhu, M.K.; Som, M.G.; Bose, T.K. Effects of spacings on growth and yield of black cumin. Indian Cocoa Arecanut Spices J. 1992, 16, 17–18. [Google Scholar]
  76. Vos, J.; Putten, P.E.L.; Birch, C.J. Effect of nitrogen supply on leaf appearance, leaf nitrogen economy and photosynthetic maize (Zea mays L.). Field Crop. Res. 2005, 93, 64–73. [Google Scholar]
  77. Raymond, F.D.; Alley, M.M.; Parrish, D.J.; Thomason, W.E. Plant density and hybrid impacts on corn grain and forage yield and nutrient uptake. J. Plant Nutr. 2009, 32, 395–409. [Google Scholar]
  78. Mosanaei, H.; Ajamnorozi, H.; Dadashi, M.R.; Faraji, A.; Pessarakli, M. Improvement effect of nitrogen fertilizer and plant density on wheat (Triticum aestivum L.) seed deterioration and yield. Emir. J. Food Agric. 2017, 29, 899–910. [Google Scholar]
  79. Johnson, E.N.; Malhi, S.S.; Hall, L.M.; Phelps, S. Effects of nitrogen fertilizer application on seed yield, N uptake, N use efficiency, and seed quality of Brassica carinata. Can. J. Plant Sci. 2013, 93, 1073–1081. [Google Scholar]
  80. Dordas, C. Dry matter, nitrogen and phosphorus accumulation, partitioning and remobilization as affected by N and P fertilization and source–sink relation. Eur. J. Agron. 2009, 30, 129–139. [Google Scholar]
  81. Bulman, P.; Smith, D.L. Post-heading nitrogen uptake, retranslocation, and partitioning in spring barley. Crop Sci. 1994, 34, 977–984. [Google Scholar]
  82. Fageria, N.K.; Baligar, V.C.; Jones, C.A. Growth and Mineral Nutrition of Field Crops, 2nd ed.; Marcel Dekker: New York, NY, USA, 1997. [Google Scholar]
  83. Li, Y.; Chen, Y.; Wu, C.-Y.; Tang, X.; Ji, X.-J. Determination of optimum nitrogen application rates in Zhejiang Province, China, based on rice yields and ecological security. J. Integr. Agric. 2015, 14, 2426–2433. [Google Scholar]
  84. Li, P.; Dong, H.; Zheng, C.; Sun, M.; Liu, A.; Wang, G.; Liu, S.; Zhang, S.; Chen, J.; Li, Y.; et al. Optimizing nitrogen application rate and plant density for improving cotton yield and nitrogen use efficiency in the North China Plain. PLoS ONE 2017, 12, e0185550. [Google Scholar]
  85. Ayadi, S.; Karmous, C.; Chamekh, Z.; Hammami, Z.; Baraket, M.; Esposito, S.; Rezgui, S.; Trifa, Y. Effects of nitrogen rates on grain yield and nitrogen agronomic efficiency of durum wheat genotypes under different environments. Ann. Appl. Biol. 2016, 168, 264–273. [Google Scholar]
  86. Abebe, Z.; Feyisa, H. Effects of nitrogen rates and time of application on yield of maize: Rainfall variability influenced time of N application. Int. J. Agron. 2017, 2017, 1545280. [Google Scholar]
  87. Yan, P.; Pan, J.; Zhang, W.; Shi, J.; Chen, X.; Cui, Z. A high plant density reduces the availability of maize to use soil nitrogen. PLoS ONE 2017, 12, e0172717. [Google Scholar]
Figure 1. Weather data (mean monthly temperature and precipitation) for experimental site throughout the duration of the 3-year experiment (February–June 2017, 2018, and 2019).
Figure 1. Weather data (mean monthly temperature and precipitation) for experimental site throughout the duration of the 3-year experiment (February–June 2017, 2018, and 2019).
Sustainability 14 03842 g001
Figure 2. Seed yields as affected by (A) plant density and (B) fertilization. Vertical lines represent standard mean errors. Different lowercase letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05).
Figure 2. Seed yields as affected by (A) plant density and (B) fertilization. Vertical lines represent standard mean errors. Different lowercase letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05).
Sustainability 14 03842 g002
Table 1. Soil properties in the experimental site.
Table 1. Soil properties in the experimental site.
Soil TypeClay Loam
Clay29.1%
Silt35.3%
Sand35.6%
pH (1:1 H2O)7.43
Organic matter1.82%
CaCO315.93%
Total Nitrogen0.121%
Phosphorus–Olsen P13.4 mg kg−1 soil
Potassium206 mg kg−1 soil
Table 2. Plant densities and fertilization methods used in the study.
Table 2. Plant densities and fertilization methods used in the study.
Plant DensityFertilization
Treatment
Fertilization AmountN ContentN Application Rate
200 plants m−2ControlNo fertilizer--
Seaweed Compost2000 kg ha−11.98%40 kg N ha−1
300 plants m−2Farmyard Manure2000 kg ha−11.52%30.5 kg N ha−1
Inorganic Fertilizer300 kg ha−115%45 kg N ha−1
Table 3. Combined analysis of variance (F values) for the effects of plant density and fertilization on soil properties and measured traits of N. sativa in three experimental years.
Table 3. Combined analysis of variance (F values) for the effects of plant density and fertilization on soil properties and measured traits of N. sativa in three experimental years.
Source of VarianceDfSoil Organic Matter (SOM)Soil Total
Nitrogen (STN)
Plant HeightLeaf Area
Index (LAI)
Seed YieldHarvest Index (HI)
Year (Y)20.0351 ns13.961 ***4.0073 *0.7294 ns1.0164 ns1.4479 ns
Plant Density (PD)10.8345 ns1.3599 ns21.074 ***15.560 ***192.62 ***141.19 ***
Fertilization (F)341.816 ***24.680 ***14.559 ***49.391 ***86.882 ***3.8504 *
Y × PD20.0121 ns0.0186 ns0.2291 ns0.0003 ns11.977 ***1.9516 ns
Y × F61.3296 ns0.4647 ns0.1068 ns0.0284 ns0.4720 ns0.2259 ns
PD × F30.6242 ns0.7007 ns1.2897 ns1.4720 ns3.4119 ns0.0958 ns
Y × PD × F60.0860 ns0.1276 ns0.0808 ns0.0410 ns0.5430 ns0.1046 ns
Source of VarianceDf1000 Seed WeightBiomass N
Content 75 DAS
Biomass N
Uptake
Total Plant N
Uptake
Seed N Content
Year (Y)20.0583 ns2.0454 ns2.0973 ns2.1456 ns3.3859 *
Plant Density (PD)10.3819 ns35.589 ***32.151 ***5.4115 *14.410 ***
Fertilization (F)32.3924 ns82.643 ***17.876 ***39.993 ***57.611 ***
Y × PD20.0125 ns0.0944 ns0.5695 ns0.1464 ns1.6664 ns
Y × F60.0861 ns0.3605 ns0.3183 ns0.1639 ns1.7254 ns
PD × F30.2194 ns3.4300 *1.3991 ns1.3836 ns1.5031 ns
Y × PD × F60.0013 ns0.4569 ns0.3112 ns0.4115 ns0.6907 ns
Source of VarianceDfSeed N
Uptake
N Harvest Index (NHI)Apparent N
Recovery
Efficiency (ANRE)
N Utilization Efficiency (NUtE)N Agronomic
Efficiency (NAE)
Year (Y)20.5149 ns0.5615 ns0.4057 ns6.0298 **1.2989 ns
Plant Density (PD)1161.89 ***184.12 ***3.1052 ns171.58 ***16.651 ***
Fertilization (F)3135.41 ***10.162 ***5.2455 *7.2316 ***9.6107 ***
Y × PD23.9989 *2.3714 ns0.0808 ns6.7993 **0.2620 ns
Y × F60.7091 ns1.0662 ns0.1224 ns1.0731 ns0.1332 ns
PD × F35.3673 **0.4542 ns1.9750 ns3.2337 *0.3123 ns
Y × PD × F60.9550 ns0.1338 ns0.3889 ns0.5864 ns0.3835 ns
F-test ratios are from ANOVA. ns, *, ** and ***: Not-significant and significant at 5%, 1% and 0.1% probability levels, respectively. Df: Degrees of freedom.
Table 4. Soil organic matter (SOM) and soil total nitrogen (STN) as affected by the plant density and fertilization.
Table 4. Soil organic matter (SOM) and soil total nitrogen (STN) as affected by the plant density and fertilization.
Plant Density (Plants m−2)
Fertilization200300 200300
Soil Organic Matter (SOM) (%)Soil Total Nitrogen (STN) (%N)
2017MeanMean
Control1.6441.6861.665 b0.1240.1260.125 b
Manure2.0331.9411.987 a0.1560.1500.153 a
Compost1.9031.9721.938 a0.1500.1490.150 a
Inorganic1.7861.6921.739 b0.1480.1420.145 a
Mean1.842 A1.823 A 0.145 A0.142 A
FPlant Density0.3748 ns0.3907 ns
FFertilization7.0649 ** (Tukey = 0.1274)6.4801 ** (Tukey = 0.0132)
FPlant Density × Fertilization0.0940 ns0.0932 ns
2018
Control1.5941.6081.601 b0.1380.1370.138 c
Manure2.1042.0332.069 a0.1780.1690.174 a
Compost2.0302.0132.022 a0.1630.1700.167 ab
Inorganic1.7391.6271.683 b0.1600.1460.153 bc
Mean1.867 A1.820 A 0.160 A0.156 A
FPlant Density0.1974 ns0.6661 ns
FFertilization6.8596 ** (Tukey = 0.1557)8.2321 ** (Tukey = 0.0083)
FPlant Density × Fertilization0.6888 ns0.7344 ns
2019
Control1.5771.5491.563 b0.1390.1370.138 c
Manure2.1542.0752.115 a0.1810.1750.178 a
Compost2.0712.0552.064 a0.1760.1730.175 ab
Inorganic1.6641.5641.614 b0.1580.1550.157 b
Mean1.867 A1.811 A 0.164 A0.160 A
FPlant Density0.2963 ns0.3367 ns
FFertilization10.8148 *** (Tukey = 0.1276)10.4148 *** (Tukey = 0.0112)
FPlant Density × Fertilization0.0999 ns0.1053 ns
F-test ratios are from ANOVA. ns, ** and ***: Not-significant and significant at 1%, and 0.1% probability levels, respectively. The capital letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different plant density, and lowercase letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different fertilization.
Table 5. Plant height and leaf area index (LAI) as affected by plant density and fertilization.
Table 5. Plant height and leaf area index (LAI) as affected by plant density and fertilization.
FertilizationPlant Density (Plants m−2)
200300 200300
Plant Height (cm)Leaf Area Index (LAI) (m2 m−2)
2017MeanMean
Control45.3341.9843.66 b1.1461.5271.337 b
Manure55.8945.9950.94 ab1.7021.7571.730 b
Compost66.5653.9060.23 a2.1732.5322.353 a
Inorganic67.2956.0961.69 a2.3782.9642.671 a
Mean58.77 A49.49 B 1.850 B2.195 A
FPlant Density4.9897 *
(Tukey = 9.253)
5.8572 *
(Tukey = 0.1866)
FFertilization4.1390 *
(Tukey = 12.773)
17.7728 ***
(Tukey = 0.4575)
FPlant Density × Fertilization0.2445 ns0.5864 ns
2018
Control38.0234.9236.47 b1.2321.6171.425 b
Manure49.5439.9644.75 ab1.8341.8601.847 b
Compost56.9344.7750.85 a2.1692.6822.426 a
Inorganic62.0448.3655.20 a2.6063.0812.844 a
Mean51.63 A42.00 B 1.961 A2.310 A
FPlant Density6.9992 *
(Tukey = 9.024)
4.2587 ns
FFertilization4.9831 *
(Tukey = 11.812)
13.6067 ***
(Tukey = 0.5193)
FPlant Density × Fertilization0.4121 ns0.4295 ns
2019
Control42.6838.5940.64 c1.2251.6301.428 b
Manure55.9146.0851.00 bc1.7951.8421.818 b
Compost68.1147.4157.76 ab2.2902.6562.473 a
Inorganic71.6755.3463.51 a2.5373.1022.820 a
Mean59.59 A46.86 B 1.962 B2.308 A
FPlant Density9.5346 **
(Tukey = 10.847)
5.8230 *
(Tukey = 0.2043)
FFertilization5.6748 **
(Tukey = 14.368)
19.2348 ***
(Tukey = 0.4584)
FPlant Density × Fertilization0.7822 ns0.5742 ns
F-test ratios are from ANOVA. ns, *, ** and ***: Not-significant and significant at 5%, 1%, and 0.1% probability levels, respectively. The capital letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different plant density, and lowercase letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different fertilization.
Table 6. Harvest index (HI) and thousand seed weight as affected by the plant density and fertilization.
Table 6. Harvest index (HI) and thousand seed weight as affected by the plant density and fertilization.
Plant Density (Plants m−2)
Fertilization200300 200300
Harvest Index (HI)1000 Seed Weight (g)
2017MeanMean
Control0.2250.1060.166 a1.4961.5121.504 a
Manure0.2170.1220.170 a1.5451.4871.516 a
Compost0.2310.1190.175 a1.5401.5351.538 a
Inorganic0.2510.1300.191 a1.6551.5961.626 a
Mean0.231 A0.119 B 1.559 A1.533 A
FPlant Density47.5421 *** (Tukey = 0.0302)0.1714 ns
FFertilization0.4673 ns0.7616 ns
FPlant Density × Fertilization0.1382 ns0.0910 ns
2018
Control0.1960.1290.163 a1.5021.5241.513 a
Manure0.2330.1480.191 a1.5321.4831.508 a
Compost0.2320.1540.193 a1.5271.5291.528 a
Inorganic0.2570.1790.218 a1.6211.5871.604 a
Mean0.229 A0.153 B 1.546 A1.531 A
FPlant Density24.5912 *** (Tukey = 0.0325)0.0591 ns
FFertilization2.1250 ns0.5433 ns
FPlant Density × Fertilization0.0579 ns0.0723 ns
2019
Control0.2130.1070.160 a1.4701.4811.476 a
Manure0.2210.1130.167 a1.4991.4371.468 a
Compost0.2380.1240.181 a1.5531.5431.548 a
Inorganic0.2600.1370.199 a1.6561.6041.630 a
Mean0.233 A0.120 B 1.545 A1.516 A
FPlant Density90.3770 *** (Tukey = 0.0248)0.1651 ns
FFertilization2.0547 ns1.1697 ns
FPlant Density × Fertilization0.1083 ns0.0615 ns
F-test ratios are from ANOVA. ns, ***: Not-significant and significant at 0.1% probability levels, respectively. The capital letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different plant density, and lowercase letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different fertilization.
Table 7. Biomass nitrogen content as affected by plant density and fertilization.
Table 7. Biomass nitrogen content as affected by plant density and fertilization.
FertilizationPlant Density (Plants m−2)
200300 200300 200300
Biomass N Content (%N)
201745 DAS60 DAS75 DAS
MeanMeanMean
Control1.131.011.07 b1.721.131.43 b2.392.152.27 c
Manure1.531.201.37 ab2.341.531.94 ab3.122.502.81 b
Compost1.671.521.60 a2.491.672.08 a3.222.953.09 b
Inorganic1.681.561.62 a2.441.682.06 a3.593.343.47 a
Mean1.50 A1.32 A 2.25 A1.49 B 3.08 A2.74 B
FPlant Density3.0759 ns7.7270 *
(Tukey = 0.347)
14.1810 **
(Tukey = 0.424)
FFertilization6.3472 **
(Tukey = 0.298)
6.3375 **
(Tukey = 0.432)
30.0160 ***
(Tukey = 0.349)
FPlant Density × Fertilization0.2714 ns0.7434 ns1.0235 ns
2018
Control1.211.071.14 b1.891.711.80 b2.562.282.42 c
Manure1.641.251.45 ab2.561.872.22 ab3.362.592.98 b
Compost1.701.611.66 a2.592.312.45 a3.203.213.21 b
Inorganic1.801.621.71 a2.742.472.61 a3.873.363.62 a
Mean1.59 A1.39 A 2.45 A2.09 B 3.25 A2.86 B
FPlant Density3.1729 ns5.4360 *
(Tukey = 0.392)
11.3631 **
(Tukey = 0.448)
FFertilization5.3518 **
(Tukey = 0.333)
4.9055 *
(Tukey = 0.494)
18.9643 ***
(Tukey = 0.436)
FPlant Density × Fertilization0.3535 ns0.5351 ns2.1428 ns
2019
Control1.090.981.04 b1.651.501.58 b2.292.102.20 d
Manure1.561.241.40 a2.371.752.06 a3.172.572.86 c
Compost1.711.581.65 a2.562.142.35 a3.313.053.18 b
Inorganic1.751.641.70 a2.542.372.46 a3.753.523.64 a
Mean1.53 A1.36 A 2.28 A1.94 B 3.13 A2.81 B
FPlant Density2.1809 ns6.2529 *
(Tukey = 0.296)
10.7108 **
(Tukey = 0.498)
FFertilization7.4514 **
(Tukey = 0.316)
8.2270 **
(Tukey = 0.445)
37.6659 ***
(Tukey = 0.351)
FPlant Density × Fertilization0.2151 ns0.6731 ns0.8870 ns
FertilizationPlant Density (Plants m−2)
200300 200300 200300
Biomass N Content (%N)
201785 DAS 100 DAS 115 DAS
MeanMeanMean
Control2.031.821.93 c1.811.631.72 c1.681.591.64 b
Manure2.642.172.41 b2.471.982.23 b2.291.852.07 a
Compost2.732.502.62 b2.612.232.42 ab2.422.082.25 a
Inorganic3.102.712.91 a2.652.392.52 a2.402.212.31 a
Mean2.63 A2.30 B 2.39 A2.06 B 2.20 A1.93 B
FPlant Density14.3382 **
(Tukey = 0.354)
12.0698 **
(Tukey = 0.324)
5.6917 *
(Tukey = 0.308)
FFertilization22.8282 ***
(Tukey= 0.321)
13.9822 ***
(Tukey = 0.316)
7.2337 **
(Tukey = 0.354)
FPlant Density × Fertilization0.5520 ns0.4812 ns0.4797 ns
2018
Control2.171.902.04 c1.861.741.80 b1.901.701.80 b
Manure2.822.292.56 b2.632.082.36 a2.441.912.18 a
Compost2.742.682.71 b2.622.412.52 a2.392.272.33 a
Inorganic3.302.823.06 a2.812.472.64 a2.642.292.47 a
Mean2.76 A2.42 B 2.48 A2.18 B 2.34 A2.04 B
FPlant Density8.2015 *
(Tukey = 0.393)
7.5441 *
(Tukey = 0.301)
6.2373 *
(Tukey = 0.271)
FFertilization13.2084 ***
(Tukey = 0.398)
11.0254 ***
(Tukey = 0.370)
5.8531 **
(Tukey = 0.383)
FPlant Density × Fertilization0.8515 ns0.6719 ns0.5636 ns
2019
Control1.951.781.87 c1.741.591.67 c1.431.371.40 c
Manure2.692.242.47 b2.512.042.28 b1.981.571.78 b
Compost2.802.592.70 b2.692.312.50 ab2.151.731.94 b
Inorganic3.242.843.04 a2.772.512.64 a2.292.182.24 a
Mean2.67 A2.36 B 2.43 A2.11 B 1.96 A1.71 B
FPlant Density11.6009 **
(Tukey = 0.295)
9.6582 **
(Tukey = 0.237)
6.6947 *
(Tukey = 0.229)
FFertilization29.9780 ***
(Tukey = 0.322)
18.0244 ***
(Tukey = 0.346)
12.816 ***
(Tukey = 0.265)
FPlant Density × Fertilization0.5447 ns0.4465 ns0.9498 ns
F-test ratios are from ANOVA. ns, *, ** and ***: Not-significant and significant at 5%, 1%, and 0.1% probability levels, respectively. The capital letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different plant density, and lowercase letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different fertilization.
Table 8. Biomass nitrogen (N) uptake, total plant N uptake, seed N content, and seed N uptake as affected by plant density and fertilization.
Table 8. Biomass nitrogen (N) uptake, total plant N uptake, seed N content, and seed N uptake as affected by plant density and fertilization.
FertilizationPlant Density (Plants m−2)
200300 200300 200300 200300
Biomass N
Uptake
(kg N ha−1)
Total Plant N
Uptake
(kg N ha−1)
Seed N
Content (%N)
Seed N
Uptake
(kg N ha−1)
2017MeanMeanMeanMean
Control23.8842.0332.96 b38.7151.7145.21 c2.882.802.84 c14.839.6712.25 d
Manure41.8952.7747.33 ab64.9664.2464.60 b3.763.003.38 b23.0611.4717.27 c
Compost51.7268.7460.23 a81.8886.2784.08 a3.873.543.71 b30.1617.5423.85 b
Inorganic43.3574.7559.05 a77.9597.5187.73 a4.314.094.20 a34.6022.7628.68 a
Mean40.21 B59.57 A 65.88 A74.93 A 3.71 A3.36 B 25.66 A15.36 B
FPlant Density12.2542 **
(Tukey = 14.188)
2.2639 ns7.9482 *
(Tukey = 0.499)
88.9179 ***
(Tukey = 6.009)
FFertilization5.2763 *
(Tukey = 20.011)
10.6237 ***
(Tukey = 17.738)
21.7320 ***
(Tukey = 0.427)
43.7798 ***
(Tukey = 3.639)
FPlant Density × Fertilization0.6103 ns0.5589 ns1.4044 ns2.5077 ns
2018
Control26.6139.2232.92 b38.8748.8443.86 c3.052.592.82 c12.279.6210.95 d
Manure39.3845.4042.39 ab61.5458.0356.79 b3.822.943.38 bc22.1612.6317.40 c
Compost45.1664.5254.84 a69.3085.2077.25 a3.633.653.64 ab24.1420.6822.41 b
Inorganic46.8459.4153.13 a79.8984.6582.27 a4.933.814.37 a33.0525.2529.15 a
Mean39.50 B52.14 A 62.40 A69.18 A 3.86 A3.25 B 22.91 A17.05 B
FPlant Density9.1053 **
(Tukey = 10.975)
1.7885 ns6.0353 *
(Tukey = 0.551)
16.4998 ***
(Tukey = 6.556)
FFertilization5.9493 **
(Tukey = 14.189)
11.9203 ***
(Tukey= 16.442)
7.6640 **
(Tukey = 0.634)
28.5723 ***
(Tukey = 3.748)
FPlant Density × Fertilization0.4223 ns0.6585 ns0.9271 ns1.3379 ns
2019
Control22.6837.3130.00 c33.7244.7039.21 c2.202.122.16 c11.047.399.22 d
Manure33.8739.6236.74 b56.2752.8754.57 b3.553.363.46 b22.4013.2617.83 c
Compost44.6554.8449.75 a74.8172.3173.56 a3.653.463.56 b30.1617.4823.82 b
Inorganic43.2268.9656.09 a76.4191.7284.07 a3.973.983.98 a33.1922.7627.98 a
Mean36.11 B50.18 A 60.30 A65.40 A 3.34 A3.23 A 24.20 A15.22 B
FPlant Density11.0706 **
(Tukey = 12.232)
1.3639 ns1.5880 ns128.0487 ***
(Tukey = 6.559)
FFertilization7.9176 **
(Tukey = 16.335)
20.8526 ***
(Tukey = 13.162)
76.5050 ***
(Tukey = 0.254)
105.3903 ***
(Tukey = 3.652)
FPlant Density × Fertilization1.0293 ns1.1758 ns0.3006 ns5.8659 ns
F-test ratios are from ANOVA. ns, *, ** and ***: Not-significant and significant at 5%, 1%, and 0.1% probability levels, respectively. The capital letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different plant density, and lowercase letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different fertilization.
Table 9. Nitrogen harvest index (NHI), apparent nitrogen recovery efficiency (ANRE), nitrogen utilization efficiency (NUtE), and nitrogen agronomic efficiency (NAE) as affected by the plant density and fertilization.
Table 9. Nitrogen harvest index (NHI), apparent nitrogen recovery efficiency (ANRE), nitrogen utilization efficiency (NUtE), and nitrogen agronomic efficiency (NAE) as affected by the plant density and fertilization.
FertilizationPlant Density (Plants m−2)
200300 200300 200300 200300
N Harvest
Index (NHI)
Apparent N Recovery Efficiency (ANRE) (%)N Utilization Efficiency (NUtE)
(kg kg−1)
N Agronomic Efficiency (NAE)
(kg kg−1)
2017MeanMeanMeanMean
Control0.3830.1880.286 b---13.296.689.99 a---
Manure0.3570.1840.271 b86.3541.2363.79 a9.496.397.94 b3.271.652.46 b
Compost0.3690.2040.287 b107.9486.4297.18 a9.525.767.64 b6.613.725.17 a
Inorganic0.4520.2430.348 a87.20101.7994.50 a10.565.978.27 b6.344.685.51 a
Mean0.390 A0.205 B 93.83 A76.48 A 10.72 A6.20 B 5.41 A3.35 A
FPlant Density97.9952 ***
(Tukey = 0.0429)
0.7851 ns63.8975 ***
(Tukey = 1.409)
4.6058 ns
FFertilization3.3397 *
(Tukey = 0.0323)
1.1973 ns3.4509 *
(Tukey = 1.621)
4.0459 *
(Tukey = 2.318)
FPlant Density × Fertilization0.2970 ns0.7864 ns1.8166 ns0.1899 ns
2018
Control0.3170.1970.257 b---10.427.599.01 a--
Manure0.3630.2230.293 b74.5730.2152.39 a9.527.658.58 a6.061.853.96 a
Compost0.3520.2420.297 b76.0890.8883.48 a9.706.788.24 a6.704.945.82 a
Inorganic0.4250.2960.361 a91.1579.5985.37 a9.797.788.79 a7.716.377.04 a
Mean0.364 A0.240 B 80.60 A66.89 A 9.86 A7.45 B 6.82 A4.39 A
FPlant Density43.4772 ***
(Tukey = 0.0472)
0.5093 ns24.2701 ***
(Tukey = 0.923)
3.7986 ns
FFertilization5.2374 *
(Tukey = 0.0563)
1.2400 ns0.4454 ns2.0503 ns
FPlant Density × Fertilization0.1118 ns0.7942 ns0.3020 ns0.5102 ns
2019
Control0.3280.1670.248 b---14.907.8811.39 a--
Manure0.3990.2470.323 a74.1826.8850.53 b11.237.379.30 b4.221.562.89 b
Compost0.4030.2480.326 a102.7369.0385.88 ab11.047.189.11 b8.103.885.99 a
Inorganic0.4560.2500.353 a94.86104.4899.67 a11.396.278.83 b7.514.956.23 a
Mean0.397 A0.228 B 90.59 A66.80 A 12.14 A7.18 B 6.61 A3.46 B
FPlant Density52.9955 ***
(Tukey = 0.0544)
2.6135 ns92.7315 ***
(Tukey = 1.401)
9.6704 **
(Tukey = 2.493)
FFertilization3.8349 *
(Tukey = 0.0975)
3.9543 *
(Tukey = 41.301)
5.1415 *
(Tukey = 1.343)
4.5135 *
(Tukey = 2.975)
FPlant Density × Fertilization0.2896 ns1.3600 ns2.0984 ns0.2822 ns
F-test ratios are from ANOVA. ns, *, ** and ***: Not-significant and significant at 5%, 1%, and 0.1% probability levels, respectively. The capital letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different plant density, and lowercase letters denote statistically significant differences according to the Tukey’s HSD test (p ≤ 0.05) under different fertilization.
Table 10. Correlation coefficients between evaluated traits.
Table 10. Correlation coefficients between evaluated traits.
Trait Coefficient of Correlation (r)
Soil
Organic Matter (SOM)
Soil
Total
Nitrogen (STN)
Plant HeightLeaf Area Index (LAI)Seed YieldHarvest Index (HI)1000 Seed WeightBiomass N Content
75 DAS
Biomass N UptakeTotal Plant N UptakeSeed N ContentSeed N UptakeN Harvest Index (NHI)Apparent N Recovery
Efficiency (ANRE)
Ν
Utilization
Efficiency (NUtE)
Soil Total Nitrogen (STN)0.5515 ***
Plant Height0.2150 ns0.2958 *
Leaf Area Index (LAI)0.0893 ns0.2836 *0.6263 ***
Seed Yield0.1639 ns0.3130 **0.7711 ***0.4676 ***
Harvest Index (HI)0.0162 ns0.1017 ns0.1987 ns−0.2077 ns0.6806 ***
1000 Seed Weight−0.3074 ns−0.0077 ns0.1965 ns0.2333 *0.2360 *0.1363 ns
Biomass N Content 75 DAS0.1686 ns0.4463 ***0.6613 ***0.6839 ***0.7717 ***0.4066 ***0.2554 *
Biomass N Uptake0.1430 ns0.1567 ns0.3949 ***0.7980 ***0.1791 ns−0.4090 ***0.1317 ns0.4134 ***
Total Plant N Uptake0.1819 ns0.2633 *0.6469 ***0.8865 ***0.5307 ***−0.0969 ns0.2121 ns0.7002 ***0.9189 ***
Seed N Content0.2215 ns0.3467 **0.6493 ***0.6730 ***0.6319 ***0.2659 *0.2214 ns0.8910 ***0.4115 ***0.6775 ***
Seed N Uptake0.1631 ns0.3344 **0.8019 ***0.5969 ***0.9413 ***0.5637 ***0.2587 *0.8956 ***0.2808 *0.6366 ***0.8438 ***
N Harvest Index (NHI)0.0582 ns0.1990 ns0.4549 ***−0.0113 ns0.7344 ***0.8391 ***0.1481 ns0.5441 ***−0.4296 ***−0.0515 ns0.5086 ***0.7146 ***
Apparent N Recovery Efficiency (ANRE)−0.1835 ns−0.0217 ns0.6979 ***0.6321 ***0.5394 ***0.0088 ns0.1447 ns0.5964 ***0.6667 ***0.8550 ***0.4750 ***0.5731 ***0.0338ns
N Utilization
Efficiency (NUtE)
−0.1343 ns−0.0616 ns0.0492 ns−0.4813 ***0.3714 **0.7525 ***−0.0026 ns−0.0257 ns−0.7494 ***−0.5257 ***−0.1526 ns0.1860ns0.7516 ***-0.1671ns
N Agronomic
Efficiency (NAE)
−0.2682 ns0.1042 ns0.5535 ***0.3699 **0.8375 ***0.4921 ***0.2129 ns0.6015 ***0.1539 ns0.4541 ***0.2810 *0.7316 ***0.4428 ***0.6105 ***0.4081 **
ns, *, ** and ***: Not-significant and significant at 5%, 1%, and 0.1% probability levels, respectively.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Roussis, I.; Kakabouki, I.; Beslemes, D.; Tigka, E.; Kosma, C.; Triantafyllidis, V.; Mavroeidis, A.; Zotos, A.; Bilalis, D. Nitrogen Uptake, Use Efficiency, and Productivity of Nigella sativa L. in Response to Fertilization and Plant Density. Sustainability 2022, 14, 3842. https://doi.org/10.3390/su14073842

AMA Style

Roussis I, Kakabouki I, Beslemes D, Tigka E, Kosma C, Triantafyllidis V, Mavroeidis A, Zotos A, Bilalis D. Nitrogen Uptake, Use Efficiency, and Productivity of Nigella sativa L. in Response to Fertilization and Plant Density. Sustainability. 2022; 14(7):3842. https://doi.org/10.3390/su14073842

Chicago/Turabian Style

Roussis, Ioannis, Ioanna Kakabouki, Dimitrios Beslemes, Evangelia Tigka, Chariklia Kosma, Vassilios Triantafyllidis, Antonios Mavroeidis, Anastasios Zotos, and Dimitrios Bilalis. 2022. "Nitrogen Uptake, Use Efficiency, and Productivity of Nigella sativa L. in Response to Fertilization and Plant Density" Sustainability 14, no. 7: 3842. https://doi.org/10.3390/su14073842

APA Style

Roussis, I., Kakabouki, I., Beslemes, D., Tigka, E., Kosma, C., Triantafyllidis, V., Mavroeidis, A., Zotos, A., & Bilalis, D. (2022). Nitrogen Uptake, Use Efficiency, and Productivity of Nigella sativa L. in Response to Fertilization and Plant Density. Sustainability, 14(7), 3842. https://doi.org/10.3390/su14073842

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop