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Article

Blackcurrant Variety Specific Growth and Yield Formation as a Response to Foliar Fertilizers

by
Sorin Vâtcă
1,
Roxana Vidican
2,
Ștefania Gâdea
1,
Melinda Horvat
3,
Anamaria Vâtcă
4,*,
Valentina Ancuța Stoian
1,* and
Vlad Stoian
2
1
Department of Plant Physiology, Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Mănăştur 3–5, 400372 Cluj-Napoca, Romania
2
Department of Microbiology, Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Mănăştur 3–5, 400372 Cluj-Napoca, Romania
3
Department of Infectious Diseases, Faculty of Medicine, University of Medicine and Pharmacy Iuliu Haţieganu Cluj-Napoca, Babeş Street 8, 400012 Cluj-Napoca, Romania
4
Department of Management and Economics, Faculty of Animal Science and Biotechnologies, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Mănăştur 3–5, 400372 Cluj-Napoca, Romania
*
Authors to whom correspondence should be addressed.
Agronomy 2020, 10(12), 2014; https://doi.org/10.3390/agronomy10122014
Submission received: 9 November 2020 / Revised: 16 December 2020 / Accepted: 16 December 2020 / Published: 21 December 2020
Browse Figures
Versions Notes

Abstract

:
Recently, there has been a growing interest in supplementing plant nutrition with foliar fertilizers. Foliar application of nutrients is considered a promising environmentally friendly strategy for improving the yield and nutrient efficiency of crops. Little work with foliar appliances on perennial fruits bushes, blackcurrant (Ribes nigrum L.), respectively, has been reported. This study was conducted to evaluate the growth and yield response of three blackcurrant varieties to macro and micronutrients’ foliar fertilizer solutions. Principal component analysis and factors environmental fitting were performed for the global assessment of growth and increases in branches length responsible for yield production throughout the entire vegetation period and reported to the final development. The results endorsed the benefits of foliar fertilization. Each variety has a preference for a specific foliar treatment. The highest increases in branches length for Ruben variety was with Ascovigor foliar fertilizer; for Tiben with Kombimax; for Tines with Mikromix. The varieties growth dynamics due to fertilizers was best fitted to foliar Kombimax. Stable models were found to all blackcurrant varieties depending on developmental stage and foliar fertilization application. Application of foliar fertilizer is very profitable in terms of pairing each variety with optimum product, which will increase its specific yield potential.

1. Introduction

The growing consumers interest trend in Ribes nigrum L. is largely due to the variety of bioactive compounds potentially beneficial to health, such as high content of ascorbic acid (vitamin C), antioxidants [1,2,3,4] and fatty acids [5,6]. The bioactive compounds are found not only in fruit but also in leaves and buds. This requires a constant balancing between berry production and vegetative growth [7]. For high and qualitative yields, new branches are needed, however vegetative growth and yield formation both compete for the same resources [7,8,9]. The main aim in blackcurrant cultivation is to obtain rapidly and subsequently high yields [7].
Knowing the requirements and consumption level of different nutrients according to the phenophases periods has an effect an optimized fertilization system for the quantity and quality of the harvest [10]. Each nutrient must be available in the right time of its maximum consumption from budding to ripening–harvesting of the plants. Some studies highlight that the blackcurrant did not respond to the increase in mineral fertilizer amount (NPK) [11] when the soil was previously rich in organic matter [7]. Flower bud formation in blackcurrant takes place under short day conditions in the autumn of the year before. Since flowering and fruiting in blackcurrants take place on young, vigorous shoots, the yields are clearly related to the increase in shoot number in the preceding season [7,12]. As a perennial crop, the indirect yield potential of blackcurrant is determined a year ahead, while the direct potential depends on the agro-climatic conditions during fruit development [12].
The main environmental concern in the cropping strategies around the world [13] is the pollution elevated by the chemical fertilization use. For a sustainable agriculture, the strategies to improve nutrient uptake, crop performance and economic efficiency are mandatory [14].
The producers and the researchers need to streamline the crop production system and management practices to benefit from environmentally friendly fertilization strategies. In this context, foliar fertilizers or application of biostimulators are generally considered to target only the plant and reduce the environment pollution [15,16,17] in terms of nitrate leaching [18]. Furthermore, foliar plant nutrition is considered very versatile, mostly because it provides immediately available nutrients to plant if early signs of deficiencies are detected [16].
A close relationship between leaf values and nutrient content was found [14]. Based on this and other studies [11,12,14,19], the use of foliar fertilization could state in an improvement in intensive and sustainable blackcurrant cultivation technologies.
Yield prediction is complex, while in addition to macronutrients, the microelements from foliar products are essential [11,12,19] along with optimum temperature and water access [7,20]. Fertilization on this crop is, therefore, rather complex and challenging, from here, it becomes the importance of fertilization-type studies. We tried to address as many aspects of shoot fertilization as possible on blackcurrant cultivation. This is why the entire experiment of blackcurrant was presented in two different scientific articles [21]. This experiment aim was to assess the specific effect of three foliar formulas on the branches’ growth and yield of three blackcurrant varieties. The hypotheses tested were (i) Is there a difference in the specific response of each variety to the application of foliar fertilizers? (ii) Is there a variety preference to a specific foliar fertilizer? (iii) Do the growth models for each variety use the same development parameters or are there differences in the selection of biometrics? Additionally, the yield economic efficiency was calculated based on yield observed in each treatment.

2. Materials and Methods

Our study was conducted in the area of Micula, Satu Mare county, Romania, in a crop established in 2016 when a base fertilization of 20 t ha−1 manure was applied. Experimental design was a two-factorial type, based on complete randomized blocks, as described by Vâtcă et al. [21].
Three varieties of blackcurrant, Factor A (var), were observed during entire vegetation period. All varieties were created in Poland [22] and are adapted to Romania’s ecological conditions. Based on the description provided by Pluta and Żurawicz [23], Ruben (R) is a productive mid-season ripening variety, with medium to large fruits and high levels of extract, ascorbic acid and anthocyanins. Tiben (TB) is a high productive variety with medium-sized fruits, with a high level of anthocyanins, acidity and extract and a medium level of ascorbic acid. Tines (TI) is a fairly productive, early ripening variety, with medium to large fruits, which possess an amount of extract and medium levels of ascorbic acid and anthocyanins.
Fertilizers, Factor B (treat), comprised four graduations and consisted of foliar formulas of Ascovigor (A), Mikromix (M) and Kombimax (K), to which a non-fertilized control (Co) was added. All fertilizers were produced (Table 1) by Agria Poland (a part of the Agri intelligence group) and were applied in a quantity of 3 L ha−1 in 3 successive growth stages. The first treatment was applied when 10% of the flowers were open, which consist of growth phase 61 according to Meier’s BBCH scale [24]. The second and third treatment were applied after 14 and 28 days, when 50% and all petals, respectively, were fallen.
All varieties were subjected to measurements on branches length, starting with the moment of the first treatment (ds). Measurements were repeated every 14 days and coded as development (d) and number of days from the first treatment until full ripening (14–98): d14, d28, d42, d56, d70, d84 and d98. The final development of branches (d98) was used as a report value for each of the previous measurements. Based on the differences between 2 successive periods (c), the increases in branch length were calculated: c14, c28, c42, c56, c70, c84 and c98. The two databases, growths and increases, comprise 684 observations for each parameter.
The entire data analysis was performed with R Studio software, (R Studio, MA, USA), version 1.1.463 [25,26]. We used the package “psych” [27] for the analysis of data validity and descriptive statistics, which provide us the mean ± standard deviations for each combination of variety x treatment. ANOVA and Tukey’s honestly significant differences (HSD) tests were used to identify differences between variants based on formulas provided by “agricolae” [28] package. Single factor and two-factorial influence over growth and increases in branches were analyzed through ANOVA. HSD was used to explore the differences within treatments for each variety, which provided information about their specific use of fertilizers and made possible the treatments ranking. Regressions were used to explore the relation between the final branches’ growth and their development phase, both due to specific response of variety to treatments and their preference for nutrients included in the recipes. All regressions were designed with the “stats” package from the R Studio base and verified through “MASS” package [29]. Akaike information criterion (AIC) was used for the selection of most important nutrients from the fertilizer recipes with the packages “vegan” [30] and “caret” [31]. Principal component analysis (PCA) and environmental fitting of factor were performed for the global assessment of growth and increases in branches length throughout the entire vegetation period and reported to the final development (d98), based on formula included in the “vegan” package. To complete this research, we calculated the economic efficiency of the blackcurrant varieties, based on yields for each combination of variety x treatment.

3. Results

Based on ANOVA results, the variety showed the highest influence on branches development after the second and third application of foliar fertilizers (Table 2). Overall, during the entire growing season, the variety played a very important role in the growth of blackcurrant plants. The influence of foliar fertilizers shows a non-homogenous gradual increase from the first application of treatments. For the period when fertilizers were applied (ds, d14 and d28), the singular impact of treatments was not significant. The maximum influence of treatments is observed at 84 days form the crop start, when all treatments were applied and the growth was more influenced by their residual effects. The specific response of each variety produces large fluctuations between growth stages of the branches, but the global effect of variety x treatment interaction was not significant.
Observations over branches development, due to the interaction of variety with foliar fertilizers shows reduced differences between variants due to applied fertilizers (Table 3). For the first three stages of development, the differences are not significant. Starting with the first period after all three fertilizers were applied, there are significant differences between the Tines variety fertilized with Kombimax and Ruben variety, when Mikromix was applied. Those differences were maintained until d84, when the Tines variety fertilized with Kombimax maintains as the most performant combination, with significant differences compared to Ruben (control and Ascovigor) and Tiben (control).
Compared to branch length at each development stage, the increases from one stage to another are strongly influenced by each factor and their interactions (Table 4).
Increases in branch length are significantly influenced by variety, with the exception of c70 and c98, when the plants are close to the end of vegetation period. However, the variety shows its specificity of growth at 84 days after first treatment. Foliar treatments have a great influence over the branches increases in the first stages, with a maximum after 28 and 42 days from the first treatment. At the end of vegetation period, the residual effect of foliar treatments is significant for the increases especially at 84 and 98 days. The interaction variety x treatment acts synergistically after the first treatment, producing significant variations between variants. The increases in the stage c70 are not significant.
Increases in branch length are both related to variety and applied foliar treatments (Table 5). The interval of increases after the first treatment (c14) is 1.11–2.22, with significant differences between varieties due to their response to treatments. The Tiben variety possess the highest and the lowest increases, which sustain the idea of fertilizer application for this variety. Ascovigor and Kombimax represent a good fertilization solution for this variety. Both Ruben and Tines have a reduced reaction to applied fertilizers in this stage. Application of the second foliar fertilizer treatments (c28) produce the highest increases in the branches’ length. Kombimax produces more than 5.75 increases in both the Tiben and Tines varieties. As an opposite, the lack of foliar treatments in the control variants maintain the increases at approximately 4 cm for all varieties, with significant differences compared to the other variants. For the c42 stage, the best fertilizer is Kombimax, both for Ruben and Tines, with a shift between the last one and Tines at the stage c56. The stage c70 is the most stable one, with differences observed only for Tiben variety, with Mikromix producing the lowest increases and Kombimax the highest ones. The effect of treatments became variety-specific starting with c84 stage. Each variety have a preference for a specific foliar treatment: Ruben for Ascovigor, Tiben for Kombimax and Tines for Mikromix. These combinations produce the highest increases in branches length. The increases in the control variant remains low, but an interesting case is the significant reduced increase in Tiben, due to the Ascovigor treatment. The final increases in varieties produce the largest differences at the end of vegetation period, when the observed increases occupy the largest interval: 3.07–6.20. Tiben have the highest increases due to the treatments with Kombimax, followed by Tines and Ruben with the same treatment. Ascovigor is the second treatment for all varieties with significant differences from Kombimax. Mikromix maintains the increases between 4.42 and 5.02 but is classified as the third treatment for all varieties.
PCA ordination of specific growth for each variety have a potential variance explanation of over 99% based on first two axes (Supplementary Materials Table S1). Each variety have a specific reaction to the nutrients provided by fertilizers (Supplementary Materials Table S1) and, thus, a specific position within the ordination graph (Figure 1).
For Ruben variety (Figure 1), the combination of N, K2O, CaO, MgO, SO3, B, I contained by fertilizers have a very significant influence for growth stability process. In the absence of fertilizers (Co), this variety can expand its branches in the interval of 15 to a maximum of 20 cm, with the majority of growth between 16 and 17 cm. Application of Mikromix to Ruben variety causes growths between 18 and 20 cm, but in some cases, branches can have growths under 17 cm, while the maximum is 21 cm. This fertilizer offers a reduced stability for the growths. The most efficient treatment for Ruben is Ascovigor, which maintains the large majority of growths within 20–21 cm. The best fertilizer for this variety is Kombimax, but the potential growths of branches lack stability and homogeneity. For the Tiben variety, nutrient preference is significantly related to the amount of N, K2O, MgO and SO3 quantities. Branches growth shows a similar use of Mikromix and Ascovigor, and a larger difference in the center of PCA compared to control and Kombimax (Figure 1). Control variants maintain their growths in the interval 14–18 cm, while Kombimax start with 19 up to 25 cm. The area occupied by Mikromix and Ascovigor is located in the large majority in the interval 19–22 cm, but both recipes can produce large fluctuations in the development of branches. The Tiben variety have a non-homogenous reaction to all applied treatments, which is visible in the dispersion of growths on PCA ordination. The Tines variety (Figure 1) is significantly influenced by all nutrients from the fertilizer recipe. It is the only variety, where the control variant is clearly separate from all fertilizers, and shows the smallest dispersion of data on ordination and the highest stability of growths. Lack of fertilization maintain growths in the interval 16–17 cm, while any application of fertilizers produces an increase up to 19–23 cm. Its reaction to Ascovigor and Mikromix is similar, both fertilizers maintaining the growths between 19–21 cm, and application of Kombimax extends the length of branches in the interval 22–23 cm.
Based on the reaction to fertilizers, four development models were developed for each studied variety (Table 6, Table 7 and Table 8). There are two simple models that comprise only growth stages or increases, and two complex models that present the supplementary role of nutrients. Final growths of Ruben variety (Table 6) are positive based on the value reached with 14 days before and of growing season and in a reduced way on the registered development at 42 days from the first treatment. The values observed at d14 and d70 act as a decrease in the final value. By combining nutrients with stage growths, the model shows an almost equal development with the value registered at d84 and 1.10 cm for each unit of applied CaO. Nitrogen and potassium act adversely in the model, with similar coefficients. Increases from one stage to another are important in the development model only at 28 days from the first treatment and in a negative manner at c70 (−8.51). The intercept value in the complex model increases x nutrients have a high value: 92.24. Based on this model, c42, c70 and c84 act as reducers of final length of branches, while c28 along with K2O and especially CaO assure the positive values.
Tiben growths during vegetation period are lacking in homogeneity and growth models combine both positive and negative coefficients (Table 7). When using only stage growth as base for the final length of branches, just d42 and d84 have a positive influence, with 0.25 cm, respectively, 1.67 cm for each cm existent in that stage. Lengths registered at d14, d56 and d70 reduces the final length with 0.63, respectively, 0.25 and 0.34 for each cm of branch. The entire model has a very low base value, with the intercept being −1.42. By combining growths with nutrients, a new and more equilibrate model is achieved. The base is set up to 2.39, with a reduced negative impact of the first growth (ds = −0.08). For this model, d42 and quantity of applied N reduce the final length of branches. The highest positive influence is due to the length of branches at d84 and the quantity of CaO applied, both acting for the increase in branches with approximately 1 cm per unit. The second-class models for this variety are based on stage increases and applied nutrients. The intercept in both models is set to high values, with almost 70 cm start base for the combined increase + nutrients model. Only K and Ca play a positive role in the final growth, with 2.27 cm per unit of applied CaO.
Tines is a variety, which base its final development of the previous growths (d84 = 2.48) in a simple model with negative values of intercept and first development (Table 8). By adding the influence of nutrients within a complex model, the intercept for growth became positive (2.16), with the growths at first and last stages (ds and d84) cancelling each other. Both d42 and applied N have negative influence in the complex model, compensated by the high value of growths after first treatment (d14 = 1.18) and the amount of applied CaO (1.39). For this variety, the use of stage increases in branch length for the forecasting of final branch growth provide two opposite models. The only influence of increases is due to c28 (2.70) based on an intercept of more than 56 cm. When nutrients are used along the stage increases, only N, K and Ca are present in the model, with 1.56 cm per unit of applied Cao. The difference between the base lengths (as intercept) are more than 10 cm, which sustain the two approaches as different models of forecast.
Blackcurrant has the greatest economic importance in this genus and is cultivated in temperate Europe, North America, Asia and mountainous regions of South America, New Zealand and North Africa [32,33,34].
From an economic efficiency point of view, the difference in obtained yield per hectare was followed after the administration of foliar fertilizers and, respectively, the additional incomes that can be obtained from the capitalization of the production difference, compared to the control group. The maintenance works carried out on all the varieties studied are the same, which ensures constant expenses from this point of view. The difference being given only by the expenses with the foliar fertilizer’s administration with the trade names Ascovigor, Kombimax, Mikromix (Ascovigor-77 RON ha−1, Kombimax-70 RON ha−1, Mikromix-75 RON ha−1). The average capitalization price of one kg of currant fruits was 9 RON/kg (≈1.86 EUR kg−1). In the case of the Ruben variety, where the foliar fertilizer with the trade name Kombimax was administered, there was an increase in production of over 18%, compared to the control group, which ensures an additional income of over RON 30,000 per hectare (≈6196 EUR ha−1) and, respectively, an additional profit compared to the control of 30,818 RON/ha (≈6365 EUR ha−1). The productivity of the Tiben variety bushes, lot 3, ensures a higher average production per bush of approximately 5.93 kg by 14.7% more than the control group, production that ensures an additional income of 22,572 RON ha−1 (≈4662 EUR ha−1). In the case of the Tines variety, following the application of Kombimax fertilizer, the average production per bush is 1.87 kg higher than that of the control group, an increase of approximately 36%. This difference can ensure a higher production per hectare compared to the control by approximately 6171 kg, and additional profit from the capitalization of the production difference of RON 55,469 (≈11,456 EUR ha−1).
In the case of the three varieties studied (Ruben, Tiben and Tines), from the economic point of view (Table 9), the highest productivity was obtained in the case of the Tines variety, using the foliar fertilizer Kombimax, respectively, about 7 kg of fruit/bush (≈23,100 kg ha−1). The average annual income that can be obtained from the capitalization of this production being around 200,000 RON ha−1 (≈43,000 EUR ha−1).

4. Discussion

Foliar application of fertilizers induced a specific difference and adaptability within individual varieties. Many studies agree that genotype is the main source of fruit variation in ascorbic acid [35], phenolic compounds, anthocyanins, antioxidant capacity, dry matter content, soluble solids, pH, as well as yield and berry weight [7,12,36,37,38,39]. Our results state clearly a variety preference upon a single fertilizer type. Following this aspect, we could interpret and propose a deep look into fertilizer composition for each variety aspect.
Ruben variety had the highest branch growth when Ascovigor foliar fertilizer was applied, which is correlated with variety characteristics (ascorbic acid—AsA and anthocyanins—AnT) and foliar fertilizer chemical components. Therefore, for the formation of a high level in terms of AsA and AnT, blackcurrant plant needs an input of CaO, B and I. This can be sustained by other studies, where the role of calcium was fitted to cellular membrane, cellular walls formation and biosynthesis of proteins and other compounds [40]. Boron as well was highlighted to be essential in blackcurrant crop [19], and it participates to metabolism, protein transport, applied in the flowering phase to improve fruit characteristics and consequently increase yield [19,37,41].
In case of the Tiben variety for a high level of AnT and a medium level of AsA, the application of fertilizer (Kombimax) with high content in macronutrients is essential, especially N, a medium content in Fe and a relatively low inputs of B and Mo. Additionally, Mo could act as a restrictive factor for the AsA and AnT levels. Nitrogen is the indispensable for amino acids, protein substances, nucleic acids, chlorophyll, coenzymes, vitamins composition [42] and together with Fe and Mo regulates a medium level of AsA in the favor of AnT [12,43].
For a medium content of AsA and AnT, the Tines variety requires a fertilizer (Mikromix) with a medium content of macronutrients (N), also a medium B content and high content of Cu, Fe, Mn and Zn compared with the other foliar fertilizers. It has been shown that the accumulation of ascorbic acid is highest during the fruit expansion phase [44] and that a medium content of macronutrients and micronutrients crop-fitted need persist until later ripening stages [36].
The current trend in agronomy is oriented to economic and ecologic efficiency [45,46,47,48]. Digital agriculture can assure the sustainability of crop production by harmonizing biological traits of each species with its nutritional and climatic requirements [49,50,51]. However, this approach is holistic and implies large database and complex models. In this context, physiological studies on current cultivated varieties creates the premise for the identification of biogeographical optimum of each species. Additionally, it will facilitate the process of better selection of new varieties, with a high acclimation for site-specific conditions. Future research is required to explain, argue and deeply understand the physiology of blackcurrant. This species is one of the crops that provides high beneficial compounds for human nutrition. Thus, in contrast to yield chemistry, there are lack of studies on variety specific development. This is needed in order to provide complex and viable models of varietal biology of growth and development. Based on both agronomic and biochemistry research, this crop can be directed to a high level of profitability.
Our results highlighted Rubes variety as being the most stable after modeling the growth and fertilizer effect. Another study place Ruben cultivar as having a good effect of general and specific abilities of fruit yield, weight and AsA content at least in two consecutive years [52]. Their study also concludes that the lowest yield production is at Tines variety compared with Ruben variety. We have obtained similar results in terms of yield only in the control variant with no fertilization and for Ascovigor fertilizer effect, slightly different when Mikromix and Kombimax were applied.
In addition, we could also appreciate that foliar fertilizer determined an increase in shoot length with a maximum effect in d28 and d42, because the fertilizer effect is usually seen at the beginning of the vegetation stage. Wójcik and Filipczak [36] found that Tiben plants supplied with mineral fertilizers also had stronger vigor, higher photosynthetic rates, more chlorophyll in the leaves and greater yields than did those grown with manure only or no fertilizer. They also stated that fertilizers influence the level of acidity in fruits (AsA), with an exception for AnT content.

5. Conclusions

Foliar fertilizer application produces large differences within individual cultivars. Although blackcurrant crop is self-fruitful, we recommend a mixed-cultivar planting for a greater and constant yield, and for sustainable economic efficiency. We also recommend fertilizing Ruben variety with Ascovigor foliar fertilizer; Tiben cultivar with Kombimax and Tines variety with Mikromix. Foliar fertilizer appliance increases shoot development, as well as the growth of blackcurrant bushes and at the end of vegetation period, the fruit yield with a specificity connected to the cultivar preference type. This crop assures high and economically efficient yields due to the application of a personalized foliar product for each variety.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4395/10/12/2014/s1, Table S1. PCA variance and variety-specific growth as a reaction fertilizer composition.

Author Contributions

Conceptualization, S.V., A.V. and V.A.S.; methodology, A.V. and V.A.S.; software, R.V. and V.S.; validation, S.V., R.V., Ș.G., A.V., V.A.S. and V.S.; formal analysis, R.V., A.V., V.A.S., M.H. and V.S.; investigation, A.V. and V.A.S.; resources, S.V. and Ș.G.; data curation, R.V., A.V., V.A.S. and V.S.; writing—original draft preparation, S.V., R.V., Ș.G., A.V., M.H., V.A.S. and V.S.; writing—review and editing, S.V., R.V., Ș.G., A.V., M.H., V.A.S. and V.S.; supervision, S.V., A.V. and V.A.S.; funding acquisition, S.V. and Ș.G. The first author and the corresponding authors (A.V.) and (V.A.S.) have contributed equally to this paper, all three being considered as first authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

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Agronomy 10 02014 g001a 550Agronomy 10 02014 g001b 550
Figure 1. Growth dynamics of varieties due to fertilizers projected to the final growth (d98). Co—control, A—Ascovigor, M—Mikromix, K—Kombimax. A full description of treatment recipes is provided in Table 1.
Figure 1. Growth dynamics of varieties due to fertilizers projected to the final growth (d98). Co—control, A—Ascovigor, M—Mikromix, K—Kombimax. A full description of treatment recipes is provided in Table 1.
Agronomy 10 02014 g001aAgronomy 10 02014 g001b
Table
Table 1. Composition of applied foliar fertilizers (% of total volume) [21].
Table 1. Composition of applied foliar fertilizers (% of total volume) [21].
FertilizerNK2OCaOMgOSO3B
Ascovigor3.171.90.18 2.543.81
Kombimax27.620.7-5.522.30.0276
Mikromix7.2514.5-4.357.540.435
FertilizerCuIFeMnMoZn
Ascovigor0.00040.0040.0061.02-0.64
Kombimax0.069-0.1380.0690.00140.069
Mikromix0.7254-1.452.1750.01451.45
Table
Table 2. Effect of singular and combined effect of variety x treatment interaction on the branches’ development.
Table 2. Effect of singular and combined effect of variety x treatment interaction on the branches’ development.
Var Treat Var: Treat
Fp ValueFp ValueFp Value
ds4.710.0090.840.4710.250.961
d144.740.0090.590.6190.380.894
d285.760.0031.310.2710.670.677
d425.400.0052.930.0330.580.744
d564.760.0093.740.0110.580.750
d704.730.0093.880.0090.610.726
d844.600.0105.970.0010.560.763
Note: var—variety, treat—treatment, var: treat—interaction between variety x treatment. A full description of treatment recipes is provided in Table 1. d—development of branches, s—first development stage, numbers 14, 28, 42, 56, 70, 80—days after the first treatment.
Table
Table 3. Blackcurrant variety-specific development of branches (cm) during the vegetation period.
Table 3. Blackcurrant variety-specific development of branches (cm) during the vegetation period.
dsSig.d14Sig.d28Sig.d42Sig.d56Sig.d70Sig.d84Sig.
RCo48.50 ± 1.08a50.48 ± 1.08a54.63 ± 1.08a56.63 ± 1.08ab58.61 ± 1.07ab60.61 ± 1.07ab61.89 ± 1.05b
RA46.95 ± 1.08a48.89 ± 1.07a54.22 ± 1.08a56.35 ± 1.07ab58.40 ± 1.06ab60.44 ± 1.06ab62.47 ± 1.05ab
RM47.56 ± 1.08a49.52 ± 1.08a53.90 ± 1.08a55.92 ± 1.08b57.92 ± 1.08b59.92 ± 1.08b61.86 ± 1.08b
RK47.07 ± 0.95a49.07 ± 0.95a54.18 ± 0.95a57.12 ± 0.94ab59.78 ± 0.94ab61.80 ± 0.94ab63.80 ± 0.94ab
TBCo49.48 ± 1.02a50.59 ± 1.01a54.54 ± 1.00a56.54 ± 1.00ab58.54 ± 1.00ab60.54 ± 1.00ab61.55 ± 1.01b
TBA48.64 ± 1.26a50.77 ± 1.26a56.00 ± 1.24a58.17 ± 1.24ab60.74 ± 1.22ab62.77 ± 1.21ab64.06 ± 1.19ab
TBM48.31 ± 0.99a50.24 ± 1.00a54.94 ± 1.00a56.98 ± 1.00ab59.00 ± 1.00ab60.93 ± 1.01ab62.78 ± 1.02ab
TBK49.36 ± 1.13a51.58 ± 1.12a57.44 ± 1.12a59.89 ± 1.10ab62.09 ± 1.10ab64.20 ± 1.10ab66.27 ± 1.10ab
TICo50.11 ± 0.92a52.11 ± 0.92a56.18 ± 0.93a58.18 ± 0.93ab60.18 ± 0.93ab62.18 ± 0.93ab63.25ab
TIA48.58 ± 1.08a50.58 ± 1.08a55.72 ± 1.08a57.77 ± 1.07ab59.80 ± 1.07ab61.80 ± 1.07ab63.82ab
TIM49.92 ± 1.07a51.90 ± 1.07a56.85 ± 1.08a58.88 ± 1.09ab60.92 ± 1.09ab62.93 ± 1.09ab64.97ab
TIK50.36 ± 1.00a52.36 ± 1.00a58.11 ± 1.00a60.85 ± 0.99a62.90 ± 1.00a64.90 ± 1.00a66.90a
Note: Values presented in the table are the means of the three tested varieties (Ruben—R, Tiben—TB and Tines—TI) ± standard error. Means followed by different letters indicate differences at p < 0.05 according to Tukey honestly significant differences (HSD) test; d—development of branches, s—first development stage, numbers 14, 28, 42, 56, 70, 80—days after the first treatment. Co—control, A—Ascovigor, M—Mikromix, K—Kombimax. A full description of treatment recipes is provided in Table 1.
Table
Table 4. Singular and combined effect of variety x treatment interaction on the stage increases in branches.
Table 4. Singular and combined effect of variety x treatment interaction on the stage increases in branches.
Var Treat Var: Treat
Fp ValueFp ValueFp Value
c1430.02p < 0.00177.67p < 0.00181.67p < 0.001
c2813.36p < 0.001307.12p < 0.00116.04p < 0.001
c4210.59p < 0.001231.08p < 0.00111.00p < 0.001
c5622.06p < 0.00143.56p < 0.00134.52p < 0.001
c700.140.8702.030.1082.180.044
c8452.12p < 0.001360.89p < 0.00128.82p < 0.001
c980.700.498783.76p < 0.00110.03p < 0.001
Note: var—variety, treat—treatment, var: treat—interaction between variety x treatment. A full description of treatment recipes is provided in Table 1. c—increases in branches, numbers 14, 28, 42, 56, 70, 80—days after the first treatment.
Table
Table 5. Blackcurrant variety-specific increases in branches (cm) during the vegetation period.
Table 5. Blackcurrant variety-specific increases in branches (cm) during the vegetation period.
c14Sig.c28Sig.c42Sig.c56Sig.c70Sig.c84Sig.c98Sig.
RCo1.98 ± 0.02bc4.15 ± 0.06ef2.00 ± 0.00d1.98 ± 0.02c2.00 ± 0.00ab1.28 ± 0.06c3.20 ± 0.07h
RA1.95 ± 0.04c5.33 ± 0.07b2.13 ± 0.05d2.05 ± 0.03bc2.04 ± 0.03ab2.04 ± 0.03a5.49 ± 0.09cd
RM1.96 ± 0.03c4.38 ± 0.07e2.02 ± 0.02d2.00 ± 0.00c2.00 ± 0.00ab1.94 ± 0.03ab4.42 ± 0.10g
RK2.00 ± 0.00bc5.1 ± 0.05bc2.93 ± 0.03a2.67 ± 0.06a2.02 ± 0.02ab2.00 ± 0.00ab5.78 ± 0.07bc
TBCo1.11 ± 0.04d3.95 ± 0.05f2.00 ± 0.00d2.00 ± 0.00c2.00 ± 0.00ab1.02 ± 0.02d3.11 ± 0.06h
TBA2.13 ± 0.07ab5.23 ± 0.12bc2.17 ± 0.07d2.57 ± 0.09a2.02 ± 0.10ab1.30 ± 0.07c5.13 ± 0.14def
TBM1.93 ± 0.04c4.70 ± 0.07d2.04 ± 0.03d2.02 ± 0.02bc1.93 ± 0.04b1.85 ± 0.06b4.87 ± 0.05f
TBK2.22 ± 0.06a5.85 ± 0.10a2.45 ± 0.07c2.20 ± 0.06b2.11 ± 0.04a2.07 ± 0.04a6.20 ± 0.08a
TICo2.00 ± 0.00bc4.07 ± 0.04ef2.00 ± 0.00d2.00 ± 0.00c2.00 ± 0.00ab1.07 ± 0.03d3.07 ± 0.03h
TIA2.00 ± 0.00bc5.13 ± 0.06bc2.05 ± 0.03d2.03 ± 0.03bc2.00 ± 0.00ab2.02 ± 0.02ab5.27 ± 0.07de
TIM1.98 ± 0.02bc4.95 ± 0.04cd2.03 ± 0.02d2.03 ± 0.02bc2.02 ± 0.02ab2.03 ± 0.02a5.02 ± 0.07ef
TIK2.00 ± 0.00bc5.75 ± 0.06a2.74 ± 0.06b2.05 ± 0.03bc2.00 ± 0.00ab2.00 ± 0.00ab5.84 ± 0.05b
Note: Values presented in the table are the means of the three tested varieties (Ruben—R, Tiben—TB and Tines—TI) ± standard error. Means followed by different letters indicate differences at p < 0.05 according to Tukey HSD test. c—increases in branches, numbers 14, 28, 42, 56, 70, 80—days after the first treatment. Co—control, A—Ascovigor, M—Mikromix, K—Kombimax. A full description of treatment recipes is provided in Table 1.
Table
Table 6. Modelling of Ruben variety final growth (d98) based on development stage and applied nutrient.
Table 6. Modelling of Ruben variety final growth (d98) based on development stage and applied nutrient.
G G + N I I + N
Inter−3.33Inter0.85Inter72.76Inter92.24
d14−0.68d14−0.29c282.46c281.61
d420.37d560.23c70−8.51c42−5.36
d70−0.66d841.06 c70−9.03
d841.98N−0.02 c84−3.66
K2O0.03 K2O0.06
CaO1.10 CaO2.11
ANOVA
F6792 6512 6.36 4.69
p.valp < 0.001 p < 0.001 0.002 p < 0.001
Note: G—development stage of branches; N—nutrients from fertilizer recipe; I—stage increases in branches; Inter.—Intercept. d—development of branches; c—increases in branches; s—first development stage, numbers 14, 28, 42, 56, 70, 80, 98—days after the first treatment.
Table
Table 7. Modelling of the Tiben variety final growth (d98) based on development stage and applied nutrients.
Table 7. Modelling of the Tiben variety final growth (d98) based on development stage and applied nutrients.
G G + N I I + N
Inter−1.42Inter2.39Inter57.39Inter69.77
d14−0.63ds−0.08c142.03c42−2.33
d420.25d42−0.28c281.49K2O0.05
d56−0.25d700.29 CaO2.27
d70−0.34d841.05
d841.67N−0.03
K2O0.05
CaO0.96
ANOVA
F4038 6176 9.508 10.61
p.valp < 0.001 p < 0.001 p < 0.001 p < 0.001
Note: G—development stage of branches; N—nutrients from fertilizer recipe; I—stage increases in branches; Inter.—Intercept. d—development of branches; c—increases in branches; s—first development stage, numbers 14, 28, 42, 56, 70, 80, 98—days after the first treatment.
Table
Table 8. Modelling of the Tines variety final growth (d98) based on development stage and applied nutrients.
Table 8. Modelling of the Tines variety final growth (d98) based on development stage and applied nutrients.
G G + N I I + N
Inter−3.24Inter2.16Inter56.12Inter66.32
ds−0.43ds−1.03c282.70N−0.06
d70−1.06d141.18 K2O0.11
d842.48d42−0.19 CaO1.56
d841.04
N−0.04
K2O0.07
CaO1.39
ANOVA
F15000 11530 13.77 6.75
p.valp < 0.001 p < 0.001 p < 0.001 p < 0.001
Note: G—development stage of branches; N—nutrients from fertilizer recipe; I—stage increases in branches; Inter.—Intercept. d—development of branches; c—increases in branches; s—first development stage, numbers 14, 28, 42, 56, 70, 80, 98—days after the first treatment.
Table
Table 9. Economic efficiency indicators for the three blackcurrant varieties production under foliar fertilizers treatments.
Table 9. Economic efficiency indicators for the three blackcurrant varieties production under foliar fertilizers treatments.
No.SpecificationUMVariety RubenVariety TibenVariety Tines
CoAMKCoAMKCoAMK
1.Average yield/bushkg5.535.936.575.575.175.775.875.935.26.537.076.1
2.Average yield/hakg18,24919,56921,68118,38117,06119,04119,37119,56917,16021,54923,33120,130
3.Production difference *kg-13203432132-198023102508-438961712970
4.Yield increase *%-7.2318.810.72-11.6113.5414.70-25.5835.9617.31
5.Revenue recoverylei-11,88030,8881188-17,82020,79022,572-39,50155,53926,730
6.Yield profit difference *lei-11,80330,8181113-17,74320,72022,497-39,42455,46926,655
Note: * compared to the control; Co—control, A—Ascovigor, M—Mikromix, K—Kombimax. A full description of treatment recipes is provided in Table 1.
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Vâtcă, S.; Vidican, R.; Gâdea, Ș.; Horvat, M.; Vâtcă, A.; Stoian, V.A.; Stoian, V. Blackcurrant Variety Specific Growth and Yield Formation as a Response to Foliar Fertilizers. Agronomy 2020, 10, 2014. https://doi.org/10.3390/agronomy10122014

AMA Style

Vâtcă S, Vidican R, Gâdea Ș, Horvat M, Vâtcă A, Stoian VA, Stoian V. Blackcurrant Variety Specific Growth and Yield Formation as a Response to Foliar Fertilizers. Agronomy. 2020; 10(12):2014. https://doi.org/10.3390/agronomy10122014

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Vâtcă, Sorin, Roxana Vidican, Ștefania Gâdea, Melinda Horvat, Anamaria Vâtcă, Valentina Ancuța Stoian, and Vlad Stoian. 2020. "Blackcurrant Variety Specific Growth and Yield Formation as a Response to Foliar Fertilizers" Agronomy 10, no. 12: 2014. https://doi.org/10.3390/agronomy10122014

APA Style

Vâtcă, S., Vidican, R., Gâdea, Ș., Horvat, M., Vâtcă, A., Stoian, V. A., & Stoian, V. (2020). Blackcurrant Variety Specific Growth and Yield Formation as a Response to Foliar Fertilizers. Agronomy, 10(12), 2014. https://doi.org/10.3390/agronomy10122014

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