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Article

Impact of Farming System on Potato Yield and Tuber Quality in Northern Baltic Sea Climate Conditions

Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, EE 51006 Tartu, Estonia
*
Author to whom correspondence should be addressed.
Agriculture 2022, 12(4), 568; https://doi.org/10.3390/agriculture12040568
Submission received: 18 March 2022 / Revised: 13 April 2022 / Accepted: 16 April 2022 / Published: 18 April 2022
(This article belongs to the Special Issue Cover Crops - Series II)

Abstract

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For finding more sustainable cropping systems, this study on how the farming system influences the yield and quality of potato tubers was carried out with long-term crop rotation experiment. The long-term five-field crop rotation field trial was established with the following farming system treatments: organic farming system treatments: Org I (organic control), Org II (organic crop rotation with winter cover crops) and Org III (organic crop rotation with winter cover crops and the addition of composted cattle manure); conventional farming system treatments: N0 (conventional system without fertilizers), N50 (conventional system with fertilization, N50P25K95), N100 (conventional system, N100P25K95) and N150 (conventional system, N150P25K95). The average yield (based on 3 trial years) of conventional systems was 25% higher, compared to organic systems. However, in organic systems, the yield was the most stable. The most fluctuating cropping system was the most intensively managed N150. In each trial year, the yield differed statistically and it varied from 4.7 t ha−1 up to 10.9 t ha−1. Org I had the same dry matter yield as the N0 system, where chemicals were used, meaning that using chemicals for plant protection but no fertilizer for growth improvement had no positive effect. In each year, the yield in Org III system was similar to N50 system. Regarding the tubers per plant, there were no differences between farming systems but there was a significant difference between the trial years. The tubers in conventional systems had a lower starch content than the organic systems. It is possible to conclude that if cover crops and manure are used, organic farming practices provide just as good results as the conventional farming with low nitrogen level.

1. Introduction

Potato is a high-yielding crop and it has an important role in human diets. There is a wide variety of products which can be produced from potato starch, so the importance of this crop cannot be underestimated. The tuber yield of potato can vary in large ranges through growing seasons and therefore, it is important to understand how the farming system influences the yield and quality of tubers in different seasons. The large seasonal and yearly variations in moisture content, temperature and nutrient availability of the soil are also dependent on the farming system. Current environmental trends related to climate change, biodiversity loss, land degradation, water shortages and pollution threaten the long-term food security and are caused in part due to current diets and agricultural practices. Addressing these problems while producing more food for a growing population will require changes in current food systems [1]. To guarantee the sustainable human development means being able to feed the planet with an increasing population which is predicted to reach 9.7 billion people by 2050 [2]. Although, since 2000, GHG emissions have been growing in all sectors, except in agriculture, forestry and other land use sectors, still the agriculture has a key role in carbon storage in the soil and is one of the more impactful sectors regarding the future CO2 emissions [3]. In order to develop more sustainable farming systems, we should minimize the external inputs by optimizing the farming systems. Better understanding should be developed of the diversification of crop rotations with cover crops and farming systems. The modern agriculture is heading in that direction with organic farming and integrated systems.
The total area of organic fields in the EU-27 was nearly 13.8 million hectares in 2019. The increase in organic area between 2012 and 2019 was 46% and the share of total organic area in the total utilized agricultural land within the EU rose from 5.9% to 8.5%. In Estonia, the total area of organically managed agricultural land is 22.3% [4], although organically produced potato has a minor share in Estonia. Potatoes are important components of human diet as they are rich in nutrients and bioactive components which are useful for maintaining a good nutritional status and wellness [5]. The decline in potato production and consumption is an unwanted development because the potato is one of the most environmentally friendly crops. Its production process has a low CO2 emission footprint and it requires less area per similar dry matter yields than other crops [6]. On the other hand, the farming systems for potato production are often associated with soil degradation due to the excessive use of tillage and low production of crop residues [7]. It means that cover crops must be used in crops rotations to maintain the content of soil organic matter. In 2019, the total production of potato in Estonia was 120,000 tonnes. The production of organically grown potato was 2000 tonnes, which represents only 1.67% of the total potato production [8]. Low production efficiency of potato per hectare is not attractive and it challenges the agronomists to find better agricultural practices and understanding on the effects of different farming systems. Nitrogen fertilization and the use of cover crops are some of the most important management practices that affect many physical, chemical and biological characteristics of the soil which impact the yield and quality of potato tubers [9].
The need for more sustainable agriculture has brought deserved attention to soil and to efforts towards maintaining and improving the soil health [10]. The best options for improving the soil health is to turn croplands into grasslands and maximize crop residue management [11]. Recent estimates suggest that, given the present consumption patterns, the transition to a fully organic system would require 30% more land use than with conventional agriculture [10]. However, if the transition to organic agriculture was accompanied by a 50% drop in food waste and consumption of agricultural products, additional land resources would not be required [12].
Improving the soil health while ensuring high yield at the same time is a challenging task for agronomists. One of the most common yield increasing measures is the application of nitrogen fertilizers, but intensive agriculture entails several risks related to excessive fertilization. In Estonia, farmers are increasing the fertilizer input year by year and also more agricultural land is in active use [13]. The surplus of nutrients is an important source of ground and surface water pollution [14]. As a consequence, farmers must reduce their nutrient inputs to limit nutrient losses by leaching and runoff. Those facts have been published already 30 years ago, but farmers still use fertilizers excessively. Estonian rivers and lakes have different nitrogen exports and it is especially high in river Emajõgi, which is surrounded by large agricultural areas [15]. Cover cropping could potentially reduce the leaching of NO3–N by 50–60% [16,17].
Developing progress in agronomy using pest, disease and weed management is minimizing the cap between the actual and the potential yield of crops [18], but new EU goals are forcing agronomists to minimize the use of chemicals and to prefer organic farming. A meta-analysis showed that yields in organic production are 25% lower than in conventional systems [19], but it is not known how much it differs in potato production in Estonian climate. One opportunity to increase organic yield is to use cover crops which enable to increase the nutrient content and provide additional carbon into the soil [20,21]. However, related to yield increase, some studies have shown that using manure is more efficient than using cover crops [22]. Anatosovsky et al. [23] found that the tuber yield is correlated positively with the increasing fertilization rate with all fertilizer types. It was also found that organic systems have significantly lower yields than conventional ones [24]. On the other hand, some studies have shown no significant difference in the potato yield between organic and conventional treatments [24,25]. Some studies highlight [23,26,27] that yields in organic farming fluctuate more and this makes it undesirable for farmers.
The aim of the research was to evaluate the influence of potato growing systems on the yield, yield stability and quality of tubers. Thus, we hypothesized that: (1) increased nitrogen level, winter cover crops and manure have positive impact on the yield and quality of potato tubers; (2) cover crops and manure-based farming produces more stable yield and quality.

2. Materials and Methods

2.1. Site Description

The potato was grown in a long-term field crop rotation experiment established in 2008 at the Estonian University of Life Sciences (58°22′ N, 26°40′ E). In the present study, the data on potato concerns the period 2018–2020. The soil type of the experimental site was Stagnic Luvisol [28]. The texture of the soil was sandy loam (56.5% sand, 34.0% silt and 9.5% clay) in the epipedon with a humus layer of 20–30 cm [29]. In 2018, the soil of the experiment contained, on average, the soil organic carbon (SOC) content of 15.1 g kg−1, total nitrogen (Ntot) of 1.2 g kg−1 and pHKCl was 6.0.

2.2. Experimental Design

This long-term field trial had three organic (Org) and four conventional (N) system treatments. During the rotation cycle, five different crops followed each other in the following order: spring barley (Hordeum vulgare L.) with undersown red clover, red clover (Trifolium pratense L.), winter wheat (Triticum aestivum L.), pea (Pisum sativum L.) and potato (Solanum tuberosum L.). The experiments were established as systematic block design in 4 replications and the size of plots was 60 m2 [30].
The organic farming system had three treatments: Org I (organic control), Org II (organic crop rotation with winter cover crops) and Org III (organic crop rotation with winter cover crops and added composted cattle manure). Before, the potato winter turnip (cover crop) and after, the potato winter rye was grown. Cover crops were ploughed into the soil in spring as green manure. Composted cattle manure was applied in the Org III treatment (20 t ha−1) in spring before potato. Chemical composition of the composted cattle manure was the following: 138 g C kg−1, 9.7 g N kg−1, 4.6 g P kg−1, 8.6 g K kg−1, average dry matter content 44.8%. The amounts of nutrient applied in 2018–2020 (each year) with manure were: 93–98 kg N ha−1, 18–27 kg P ha−1 and 64–98 kg K ha−1. Furthermore, in organic systems, neither mineral fertilizers nor synthetic pesticides were used.
During the growing season in the conventional farming systems, herbicide Titus 25 DF (50 g ha−1, active ingredient rimsulfuron 12,5 g ha1), for late blight control fungicide and Ridomil Gold MZ 68 WG (2.5 kg ha−1, metalaxyl-M 100 g ha1 and mancozeb 1600 g ha1) were used. Depending on the rate of infestation, spraying was performed 2–4 times during the summer. Against Colorado beetle, insecticide Fastac 50 (0.3 l ha−1, alpha-cypermethrin 100 g l−1) and Decis Mega 50EW (0.15 l ha−1, active ingredient deltamethrin 7.5 g ha−1) were used.

2.3. Fertilizer and Crop Management

In the conventional farming systems, four fertilizer treatments were used: N0 (conventional without fertilizers), N50 (conventional with fertilization rate N50P25K95), N100 (conventional with fertilization rate N100P25K95) and N150 (conventional with fertilization rate N150P25K95. There was no winter cover in the conventional farming systems.
The potato variety ‘Teele’ was planted after pea (Pisum sativum L.) at the beginning of May and harvested at the beginning of September. Before planting, the potato plots were ploughed at 20–23 cm depth and then harrowed up to 4–5 cm depth. During the vegetation period, the potato rows were harrowed 2x to control the weeds.
Potato yield and quality were measured from samples taken just before trial harvest. From each plot, 10 consecutive plants were taken, weighted and the yield structure elements (dry matter yield, marketable tubers, weight of a tuber, number of tubers per plant) were measured. Total yield, tuber weight and marketable yield were calculated based on these samples. The content of starch was found using Parov’s weight.

2.4. Data Analysis

The statistical analysis of collected data was performed with the software Statistica 13 (Quest Software Inc., Aliso Viejo, CA, USA). Full-factorial analysis of variance (ANOVA) was used to test the statistical significance of year, farming system and their interaction effects on tuber properties (number of tubers per plant, marketable tubers, weight of a tuber, starch content, starch yield, dry matter yield). The significance of the effects on the same properties was assessed with one-way ANOVA. In the comparison of the differences between plots, Tukey HSD (honest significant difference) post hoc test (p < 0.05) was used [31]. Correlation analysis was used as linear correlation coefficients between variables and the significance of coefficients was taken as p < 0.001, p < 0.01, p < 0.05 or ns (not significant).

2.5. Weather Conditions

Weather data were collected from Eerika weather station of the Institute of Agricultural and Environmental Sciences of the Estonian University of Life Sciences. Weather conditions (Table 1) varied considerably during the study period, especially in 2018, compared to 2019 and 2020. Years 2020 and 2019 were similar to the long-term average weather data, considering precipitation and temperature. In 2020, total precipitation was 23.4 mm higher than the long-term average, but compared to 2018, the precipitation was 154.6 mm higher which is an extremely large difference. In 2019, the precipitation was 41.1 mm lower than the long-term average and temperatures were higher by 0.7 °C. The highest temperatures were recorded in 2018: 2.9 °C higher than the long-term average and the interaction with low precipitation (141.1 mm less than long-term average) amplified the unfavorable effects. At the beginning of vegetation period in 2018, there were only 16.2 mm of rain during first 4 decades, compared to 2019 (61.2 mm) and 2020 (62.2 mm). Fluctuating weather conditions impacted the results of the field trial between the years significantly.

3. Results and Discussion

Our research showed that the farming system has statistically significant impact on all the categories except the number of tubers per plant (F6,63 = 0.44; p = 0.846, Table 2).
This field trial showed that on average of three years, the cover crops increased the yield by 0.6 t ha−1. Each year, Org II plots had higher yield than Org I plots. One benefit of cover crops is also their ability to control weeds. Crystal-Ornelas et al. [32] reported that the addition of organic fertilizer improves the soil nutrient content and increases the soil organic matter content on average by 24%. The increase of soil organic matter has also been proven on the same trial site where SOC increased the most in Org II and Org III plots [29]. Potato tuber DM yields in Org III were even higher than in conventional cropping which is using chemical treatments but no fertilizer (N0 plots). As the use of cover crops increases the soil organic matter and improves soil health, it should also benefit the plant growth and therefore, the yield [32]. Although effective disease control strategies are limited for organic potato cultivation and those systems are more vulnerable to late blight than conventional potato production systems [33], it is still possible to achieve yields in organic farming as high as in conventional systems, if the soil has enough nutrients. Long-term organic crop rotation systems can have even more nitrogen in the soil than the conventional farming systems [34]. Runno-Paurson et al. [35] also reported that the addition of manure will increase the early blight pressure, but it does not affect the yield.

3.1. Dry Matter Yield of Tubers

Dry matter (DM) yield of tubers is a good indicator of how effective the plant growth has been—higher tuber yield indicates good nutrient and water usage throughout the vegetation period. In our trial, the organic cropping system had the lowest DM yield of tubers in each year, although the yield was most stable compared to conventional systems (Table 3). This finding is contrary to Lammerts van Bueren et al. [36] where the tuber yield of organic potato was fluctuating more than in conventional treatment. The dry matter yields of tubers in organic treatments did not show any statistical difference (p < 0.05), compared to the three-year average. DM yield in Org I treatment was the same as in N0 system, where chemicals were used. This means that using chemicals for plant protection but no fertilizers for growth improvement had no positive effect on the DM yield of tubers. We also recognized that N150 did not result in higher tuber yield, compared to N100. The average yield in 3 years in both systems was 7.3 t ha−1. Moreover, Org III had statistically similar results every year as N50, which means that cropping system which uses cover crops and manure, but no chemicals, can provide the same results as conventional farming with low nitrogen application. Org III had higher DM yield because the cover crops and added manure increased the amount of biomass which, after mineralization, increases the content of nitrogen in the soil [37].
Tuber yield is correlated to aboveground biomass and duration of the growing season [38]. A healthy haulm has a positive effect on the tuber yield [39,40]. Therefore, it is critical to ensure the growth of healthy haulms to maximize the yield. If the plant vegetative area is small the amount of N application should be reduced. In earlier results from the same trial, Keres et al. [41] showed that in conventional cropping system, the yield was higher by 24–25% than in organic system. This result is similar to potato dry matter yield as well, where average (3 years) organic yield was 5.3 t ha−1 and conventional yield was 6.6 t ha−1 (25% higher). Lower yield can be resulted from the lack of nutrients. Some trials have shown the decrease of main nutrients in the soil of organic systems [42]. This is the main reason why organic systems cannot compete with conventional farming. Potato is a high nitrate-demanding crop [43]. The average yield of tuber dry matter differs statistically between Org I, N100 and N150 cropping systems. In 2018, cropping system did not influence the dry matter yield, because very hot and dry conditions were limiting the plant growth and fertilizer effect could not occur. Most stable yield was seen in N0 cropping system where there was no statistically significant difference between the years. The yield was the most fluctuating in the cropping system with the highest nitrogen application (N150), where the tuber yield varied from 4.7 t ha−1 up to 10.9 t ha−1 and each year, the yield was statistically different. It shows that intensive cropping system is mostly influenced by the weather conditions that makes yield prediction difficult. Brisson et al. [44] also found that high input farming is more sensitive to climate. From our trial results, we could conclude that N100 gives, on average, the same yield as N150 and the additional 50 kg ha−1 nitrogen did not increase the yield.
Dry matter yield of tubers is strongly affected by the factors of a year (F2,63 = 71.57; p < 0.001), farming system (F6,63 = 13.69; p < 0.001) and the interaction of year and farming system (F12,63 = 3.81; p < 0.001, Table 2).

3.2. The Impact of Farming System on the Share of Marketable Tubers

One important factor which is influencing farming profitability is the marketable yield. Marketable yield is impacted by tuber size and damage. Marketable tubers are considered sized from 35 mm and larger. In 2018, the marketable yield was between 92.2% (Org I) and 98.1% (N50) and there were no significant differences between farming systems (Table 4). In 2019, the marketable yield was significantly different between farming systems. Higher nitrogen fertilizer rates also increased the marketable yield. In organic system, the addition of manure had positive impact on the share of marketable tubers. In 2020, farming system had also significant effect on the marketable tubers. The application of nitrogen, using cover crops and manure resulted in higher marketable yields than in control systems Org I and N0.
Considering the average of three experimental years, we can conclude that higher nitrogen rates and cover crop with manure increases the percentage of marketable tubers significantly. Although, on average, the best result of marketable tubers was in conventional farming systems, but it was not statistically significant (p > 0.05) between conventional systems. The lowest amount of marketable tubers was measured in farming system Org I, but after using cover crops and manure, the organic systems had statistically similar results as conventional systems.
The share of marketable tubers was strongly affected by the factors of year (F2,63 = 11.69, p < 0.001), farming system (F6,63 = 7.59; p < 0.001) and the interaction of year and farming system (F12,63 = 2.06; p = 0.033, Table 2).

3.3. Average Weight of a Tuber

Weight of a tuber depends on the photosynthetic productivity in the reproductive stages of the potato. In case of low moisture or nutrient deficit, the total amount of assimilates is reduced and tubers do not mature [45]. Other important factors also include a healthy shoot system and high leaf area index which plays an important role in the photosynthesis. Any damage by pests or fungal diseases reduces the size of tubers. Use of pesticides and fungicides in conventional farming systems reduces the risk of leaf area damage and plant photosynthetic capacity lasts longer than in organic farming systems. This relationship was evident also in our trial. Additionally, the water shortage is critical, particularly in the early growth stages.
On average, Org I had the smallest tubers (41.9 g) and N150 had the biggest tubers (74.4 g, Table 5).
Throughout the experiment, the average weight of tubers in organic systems (49.5 g) was lower by 33% than in conventional systems (65.8 g). Tuber weight was fluctuating the most in N150 system where the difference between 2018 and 2019 was 71.84%, accordingly 55.4 g and 95.2 g per tuber. From that, we can conclude that tuber size is strongly impacted by the application of nitrogen. If the purpose of the production is to produce the seed potato, where large tubers are not favorable, the nitrogen levels should stay lower. Average weight of a tuber is strongly affected by the factors of year (F2,63 = 10.17; p < 0.001), farming system (F6,63 = 12.16; p < 0.001) and the interaction of year and farming system (F12,63 = 1.98; p = 0.041, Table 2)

3.4. Average Number of Tubers per Plant

When drought occurs in spring and early summer, the quantity and quality of the tubers might be drastically reduced [46]. Number of tubers is mostly impacted by the growing conditions at the beginning of vegetation and it is also considered a variety specific parameter which is not influenced by the farming system (F6,63 = 0.44; p = 0.846) The number of tubers per plant is affected by year (F2,63 = 83.24; p < 0.001) and not by the interaction of year and farming system (F12,63 = 0.88; p = 0.575, Table 2). From the results in our trial, no significant difference was seen in the number of tubers per plant between farming systems, but significant difference occurred between experimental years. The same finding was concluded in the field trial held between 2012–2016, where the cropping system did not have any influence on the average number of tubers [47]. In 2020, the highest precipitation was recorded at the beginning of crop vegetation period and this resulted in high number of tubers per plant (Table 6).

3.5. Average Yield of Starch

Starch is one of the most important components in the potato tuber. A wide variety of products, including dietary and industrial applications, could be produced from starch. Total starch yield is mostly impacted by tuber yield, because the starch content is more stable between farming systems than the tuber yield.
In 2018, when the growing conditions were unfavorable because of low moisture level (Table 1), all the cropping systems had statistically similar starch yield. Three-year average starch yield was the lowest in Org I system (Table 7) and the highest in cropping system N150.
Total starch yield was mostly impacted by potato yield which is higher in intensive cropping systems (Table 3), but on the other hand, the starch content in tubers was lower in intensive cropping systems (Table 8). Similar results were found in field trials conducted between 2008–2012, where intensive cropping systems had higher starch yield but lower starch content [48].
Average starch yield is strongly affected by the factors of year (F2,63 = 81.57; p < 0.001), farming system (F6,63 = 15.65; p < 0.001) and the interaction of year and farming system (F12,63 = 3.69; p < 0.001) (Table 2). These indicators are strongly related to farming systems, but also year characteristics influence the results. This shows that crop quality parameters are not only influenced by weather conditions, but also by cropping systems. This finding is contrary to the results from similar trials [24,47], where the starch content was not influenced by farming system.
On average of three years (2018–2020), the starch content of potato tubers differed significantly between the mineral and organic fertilization scheme. Average starch content is strongly affected by the factors of year (F2,63 = 28.84; p < 0.001), farming system (F6,63 = 20.33; p < 0.001) and the interaction of year and farming system (F12,63 = 5.18; p = 0.001). The tubers in conventional system had lower starch content than the tubers in organic system. The same result was found in the field trial conducted in Finland by Roinila et al. [21]. The biggest differences in starch content were observed between the mineral and organic fertilization system in 2018, when growing conditions were unfavorable and total dry matter yield between systems was also insignificant (Table 2). In 2020, when the growing conditions were favorable and yields increased significantly, the starch content was lower. In treatments with mineral fertilizers, the starch yield was the most stable in N50 and N100 systems, whereas the starch yield remained nearly constant in each year. Cover crops or additional manure did not impact the starch content in any of the trial years.

4. Conclusions

Formulated hypotheses were proven correct that farming systems had significant influence on the growth of potato. These factors influenced the potato DM yield, starch content and tuber weight. Only the number of tubers per plant was unaffected and probably, this is a variety-specific indicator and is not significantly influenced by the farming system.
Mineral fertilizers had the best effect in N50 and N100 farming systems but in N150, although the tuber size increased, the starch content in tubers decreased and the total DM yield did not increase. Additionally, the most intensively managed N150 treatment was the most fluctuating cropping system, regarding the yield. On the contrary, in organic systems, the yield was the most stable. Org I had the same DM yield as the N0 system, where chemicals were used, meaning that using chemicals for plant protection but no fertilizer had no positive effect. Additionally, the second hypothesis was proven correct, that cover crops and manure-based farming results in more stable yield and quality than the high nitrogen-based systems. Therefore, we can conclude that if cover crops and manure are used, organic farming practices provide just as good results as in conventional farming with low nitrogen level. Moreover, composted manure and cover crops have a key role to ensure high yields in organic farming.

Author Contributions

Conceptualization, K.M., V.E. and L.T.; methodology, K.M., V.E., L.T. and A.L.; formal analysis, V.E., L.T. and E.R.-P.; data curation, V.E., L.T. and K.M.; writing—original draft preparation, K.M., L.T. and E.R.-P.; writing—review and editing, K.M., L.T., A.L., E.R.-P. and E.M.; visualization, K.M., V.E. and E.M.; funding acquisition, L.T., E.R.-P., A.L. and E.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by ERA-NET Core organic project FertilCrop, by the Estonian Research Council grant (PRG1260), ERA-NET Core organic project ALL-Organic and the Estonian University of Life Sciences base funding project P190259PKTT.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

All authors are informed of the publication.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

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Table 1. Weather conditions during 2018–2020 * and the long-term average (1964–2020).
Table 1. Weather conditions during 2018–2020 * and the long-term average (1964–2020).
MonthDecadeTemperatures (°C)Precipitation (mm)
2018201920201964–20202018201920201964–2020
MayI12.46.910.09.66.917.46.012.4
II17.613.16.311.50.924.817.820.7
III17.814.012.113.00.017.68.419.6
JuneI14.219.615.114.98.41.430.016.3
II17.618.819.515.422.539.640.628.7
III15.817.420.516.329.99.846.826.3
JulyI15.614.415.917.010.79.019.021.3
II22.715.316.917.23.018.65.423.8
III23.719.116.217.90.213.244.423.6
AugustI22.614.918.417.52.38.810.628.9
II17.917.116.816.138.233.86.625.0
III16.317.915.414.818.915.447.026.5
SeptemberI18.216.814.213.117.02.234.820.3
II14.710.512.510.912.760.08.819.2
May–
September
I-III17.615.415.014.7171.6271.6326.2312.7
* data from Eerika weather station, Estonia.
Table 2. Analysis of variance on the dry matter yield of tubers, marketable tubers, weight of a tuber, number of tubers per plant, starch yield and starch content.
Table 2. Analysis of variance on the dry matter yield of tubers, marketable tubers, weight of a tuber, number of tubers per plant, starch yield and starch content.
FactorDry Matter Yield, t ha−1Marketable Tubers, %Weight of a Tuber, gNumber of Tubers per PlantStarch Yield,
t ha−1
Starch Content, %
Year (Y)F2,63 = 71.57;
p < 0.001 *
F2,63 = 11.69;
p < 0.001 *
F2,63 = 10.17;
p < 0.001 *
F2,63 = 83.24;
p < 0.001 *
F2,63 = 81.57;
p < 0.001 *
F2,63 = 28.84;
p < 0.001 *
Farming system (FS)F6,63 = 13.69;
p < 0.001 *
F6,63 = 7.59;
p < 0.001 *
F6,63 = 12.16;
p < 0.001 *
F6,63 = 0.44;
p = 0.846
F6,63 = 15.65;
p < 0.001 *
F6,63 = 20.33;
p < 0.001 *
Y x FSF12,63 = 3.81;
p = 0.001 *
F12,63 = 2.06;
p = 0.033 *
F12,63 = 1.98;
p = 0.041 *
F12,63 = 0.88;
p = 0.575
F12,63 = 3.69;
p < 0.001 *
F12,63 = 5.18;
p < 0.001 *
* p < 0.05.
Table 3. Average dry matter yield of potato tubers depending on the farming system.
Table 3. Average dry matter yield of potato tubers depending on the farming system.
Farming SystemTuber Dry Matter Yield, t ha−1
2018201920202018–2020
Org I3.7 A1a2 ± 0.14.5 Aab ± 0.25.1 Ab ± 0.54.5 A ± 0.2
Org II3.9 Aa ± 0.24.6 Aa ± 0.26.9 ABb ± 0.45.1 AB ± 0.4
Org III4.7 Aa ± 0.66.5 Bab ± 0.57.8 ABCb ± 0.66.3 AB ± 0.5
N04.3 Aa ± 0.55.2 ABa ± 0.75.4 Aa ± 0.95.0 AB ± 0.4
N504.8 Aa ± 0.46.4 Bab ± 0.49.4B Cb ± 1.26.9 AB ± 0.7
N1005.2 Aa ± 0.46.2 Ba ± 0.710.6 Cb ± 0.67.3 B ± 0.8
N1504.7 Aa ± 0.56.4 Bb ± 0.310.9 Cc ± 0.57.3 B ± 0.8
1 Means followed by different capital letters within each column indicate significant influence of farming systems (Tukey HSD post hoc test, p < 0.05). 2 Means followed by different small letters within each row indicate significant influence of year (Tukey HSD post hoc test, p < 0.05). ± denote the standard errors, n = 4 (one year), n = 12 (2018–2020).
Table 4. Average share of marketable potato tubers depending on the farming system.
Table 4. Average share of marketable potato tubers depending on the farming system.
Farming SystemMarketable Tubers, %
2018201920202018–2020
Org I92.2 A1a2 ± 2.184.4 Aa ± 3.478.4 Aa ± 6.485.0 A ± 2.8
Org II97.0 Ab ± 0.688.3 ABa ± 3.787.0 ABa ± 1.690.7 AB ± 1.8
Org III95.3 Aa ± 2.393.9 BCa ± 2.191.1 ABa ± 1.093.4 B ± 1.1
N095.7 Ab ± 0.792.7 BCab ± 2.180.0 Aa ± 5.989.5 AB ± 2.8
N5098.1 Aa ± 0.594.8 BCa ± 1.594.4 Ba ± 1.195.8 B ± 0.8
N10093.7 Aa ± 2.596.4 Ca ± 1.094.2 Ba ± 1.694.7 B ± 1.0
N15095.7 Aa ± 1.197.5 Ca ± 0.596.2 Ba ± 0.896.5 B ± 0.5
1 Means followed by different capital letters within each column indicate significant influence of farming systems (Tukey HSD post hoc test, p < 0.05). 2 Means followed by different small letters within each row indicate significant influence of year (Tukey HSD post hoc test, p < 0.05). ± denote the standard errors, n = 4 (one year), n = 12 (2018–2020).
Table 5. Average weight of a tuber depending on the farming system.
Table 5. Average weight of a tuber depending on the farming system.
Farming SystemAverage Weight of a Tuber, g
2018201920202018–2020
Org I42.1 A1a2 ± 5.245.5 Aa ± 4.938.1 Aa ± 5.841.9 A ± 2.9
Org II56.9 Aa ± 4.750.2 ABa ± 7.444.0 ABa ± 2.050.4 AB ± 3.1
Org III54.8 Aa ± 8.661.4 ABCa ± 2.952.3 ABa ± 2.256.1 ABC ± 3.1
N049.5 Aab ± 6.966.4 BCb ± 5.140.2 Aa ± 5.952.0 AB ± 4.5
N5067.0 Aa ± 8.773.3 Ca ± 6.460.4 BCa ± 3.266.9 BCD ± 3.8
N10060.6 Aa ± 8.676.9 Ca ± 6.272.3 Ca ± 5.969.9 CD ± 4.2
N15055.4 Aa ± 7.495.2 Db ± 5.872.7 Ca ± 2.474.4 D ± 5.7
1 Means followed by different capital letters within each column indicate significant influence of farming systems (Tukey HSD post hoc test, p < 0.05). 2 Means followed by different small letters within each row indicate significant influence of year (Tukey HSD post hoc test, p < 0.05). ± denote the standard errors, n = 4 (one year), n = 12 (2018–2020).
Table 6. Average number of tubers per plant depending on the farming system.
Table 6. Average number of tubers per plant depending on the farming system.
Farming SystemAverage Number of Tubers per Plant
2018201920202018–2020
Org I7.5 A1a2 ± 0.98.3 Aa ± 0.912.4 Ab ± 0.99.4 A ± 0.8
Org II5.3 Aa± 0.28.1 Aa ± 1.213.6 Ab ± 0.79.0 A ± 1.1
Org III7.0 Aa ± 0.58.6 Aa ± 0.913.7 Ab ± 0.69.8 A ± 0.9
N07.4 Aab ± 0.76.9 Aa ± 1.412.1 Ab ± 1.68.8 A ± 1.0
N506.9 Aa ± 0.77.9 Aa ± 0.714.5 Ab ± 2.09.8 A ± 1.2
N1007.9 Aa ± 0.97.5 Aa ± 1.113.4 Ab ± 1.9.6 A ± 1.0
N1508.2 Aa ± 0.86.5 Aa ± 0.413.9 Ab ± 1.09.5 A ± 1.0
Note. 1 Means followed by different capital letters within each column indicate significant influence of farming systems (Tukey HSD post hoc test, p < 0.05). 2 Means followed by different small letters within each row indicate significant influence of year (Tukey HSD post hoc test, p < 0.05). ± denote the standard errors, n = 4 (one year), n = 12 (2018–2020).
Table 7. Average starch yield depending on the farming system.
Table 7. Average starch yield depending on the farming system.
Farming SystemAverage Starch Yield, t ha−1
2018201920202018–2020
Org I2.6 A1a2 ± 0.13.1 Aab ± 0.13.8 Ab ± 0.33.2 A ± 0.2
Org II2.6 Aa ± 0.23.2 Aa ± 0.25.0 ABb ± 0.43.6 AB ± 0.3
Org III3.3 Aa ± 0.44.4 BCab ± 0.35.7 ABCb ± 0.54.5 BC ± 0.4
N02.9 Aa ± 0.43.6 ABa ± 0.53.8 Aa ± 0.63.4 AB ± 0.3
N503.6 Aa ± 0.34.7 BCab ± 0.36.9 BCb ± 1.05.1 BC ± 0.5
N1003.5 Aa ± 0.34.5 Ca ± 0.57.6 Cb ± 0.45.2 BC ± 0.6
N1503.3 Aa ± 0.34.9 Cb ± 0.28.2 Cc ± 0.45.5 C ± 0.6
1 Means followed by different capital letters within each column indicate significant influence of farming systems (Tukey HSD post hoc test, p < 0.05). 2 Means followed by different small letters within each row indicate significant influence of year (Tukey HSD post hoc test, p < 0.05). ± denote the standard errors, n = 4 (one year), n = 12 (2018–2020).
Table 8. Average starch content depending on the farming system.
Table 8. Average starch content depending on the farming system.
Farming SystemStarch Content, %
2018201920202018–2020
Org I17.3 D1b2 ± 0.316.1 Ca ± 0.215.8 Ba ± 0.216.4 C ± 0.2
Org II17.2 Db ± 0.216.1 Ca ± 0.115.8 Ba ± 0.416.3 C ± 0.2
Org III17.4 Db ± 0.315.9 BCa ± 0.315.1 Aa ± 0.216.1 BC ± 0.3
N016.2 Cb ± 0.215.8 BCb ± 0.215.0 Aa ± 0.115.6 ABC ± 0.2
N5015.6 BCa ± 0.315.4 ABa ± 0.214.9 Aa ± 0.115.3 AB ± 0.2
N10015.1 Ba ± 0.315.0 Aa ± 0.215.0 Aa ± 0.115.0 A ± 0.1
N15014.7 Aa ± 0.214.9 Aab ± 0.215.4 ABb ± 0.115.0 A ± 0.1
1 Means followed by different capital letters within each column indicate significant influence of farming systems (Tukey HSD post hoc test, p < 0.05). 2 Means followed by different small letters within each row indicate significant influence of year (Tukey HSD post hoc test, p < 0.05). ± denote the standard errors, n = 4 (one year), n = 12 (2018–2020).
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Margus, K.; Eremeev, V.; Loit, E.; Runno-Paurson, E.; Mäeorg, E.; Luik, A.; Talgre, L. Impact of Farming System on Potato Yield and Tuber Quality in Northern Baltic Sea Climate Conditions. Agriculture 2022, 12, 568. https://doi.org/10.3390/agriculture12040568

AMA Style

Margus K, Eremeev V, Loit E, Runno-Paurson E, Mäeorg E, Luik A, Talgre L. Impact of Farming System on Potato Yield and Tuber Quality in Northern Baltic Sea Climate Conditions. Agriculture. 2022; 12(4):568. https://doi.org/10.3390/agriculture12040568

Chicago/Turabian Style

Margus, Kalle, Viacheslav Eremeev, Evelin Loit, Eve Runno-Paurson, Erkki Mäeorg, Anne Luik, and Liina Talgre. 2022. "Impact of Farming System on Potato Yield and Tuber Quality in Northern Baltic Sea Climate Conditions" Agriculture 12, no. 4: 568. https://doi.org/10.3390/agriculture12040568

APA Style

Margus, K., Eremeev, V., Loit, E., Runno-Paurson, E., Mäeorg, E., Luik, A., & Talgre, L. (2022). Impact of Farming System on Potato Yield and Tuber Quality in Northern Baltic Sea Climate Conditions. Agriculture, 12(4), 568. https://doi.org/10.3390/agriculture12040568

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