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Article

The Effect of Various Tillage Systems on Productivity of Narrow-Leaved Lupin-Winter Wheat-Winter Triticale-Winter Barley Rotation

Department of Agronomy, Faculty of Agronomy and Bioengineering, Poznań University of Life Sciences, Dojazd 11 str., 60-632 Poznań, Poland
*
Author to whom correspondence should be addressed.
Submission received: 15 January 2020 / Revised: 11 February 2020 / Accepted: 17 February 2020 / Published: 21 February 2020
(This article belongs to the Special Issue Conservation Tillage in Sustainable Agro-Ecosystems)

Abstract

:
Legumes are increasingly important crops in most European Union (EU) countries because of the growing demand for feed protein, and also because they have been shown to improve the characteristics of soil. The main part of the crop rotation is taken up by cereals, but they are connected with undesirable side effects, such as the unilateral utilization of ingredients and the heightened risk of plant diseases, e.g., Fusarium. Simplification of farming methods has become increasingly popular as growers search for cheaper production technologies. However, the effects of long-term simplification in tillage practices on the production and economics of narrow-leafed lupine (NL) cultivation have not been studied. In 2012–2016, we carried out a field experiment in Poland with a one-factorial design with four replications. The aim of the experiment was to evaluate the productivity effect of conventional tillage (CT), reduced tillage (RT) and no-tillage (NT) on NL-winter wheat (WW)-winter triticale (WT)-winter barley (WB), rotation. Our results show that the productivity of this crop rotation was lower under RT and NT systems than under CT. From a practical point of view, the reduction of cultivation in rotation with 75% of cereals caused a decrease in yield in all species, which can result in resign of using the RT and NT in conditions of Albic Luvisols soil, as classified according to the World Reference Base (WRB). The highest incomes were found when the CT system was used with NL. Although income losses exceeded the value of savings in both minimalized soil tillage systems (RT and NT), all tillage systems of NL were profitable.

1. Introduction

The post-war agricultural revolution led to the intensification of European agriculture. This intensification encouraged highly specialized production systems with increasingly short rotations [1]. This evolution was based on a choice of species that could ensure the best short-term profitability [2]. Now, Europe is self-sufficient in most agricultural commodities that it can produce and is even an exporter. This remarkable productivity can be attributed to specialization in high-yielding cereals and oilseeds grown using synthetic nitrogen fertilizers, and a well-developed supporting technology [3]. According to EUROSTAT [4] in 2017, the harvested production of cereals (including rice) in the European Union (EU) was approximately 310 million tonnes. This represented an increase of 2.7% (8.2 million tonnes) compared to 2016 values. France harvested 68.5 million tonnes of cereals in 2017, a little more than one fifth (22.0%) of total production in the EU. Germany harvested 45.6 million tonnes (14.7% of the EU total) and Poland harvested 31.9 million tonnes (10.3%). The overall increase in harvested production at EU level was driven by strong productivity increases in France (26.4%), Poland (7.0%) but also Romania (24.7%). Moreover, the EU produced 35.1 million tonnes of oilseeds in 2017, which was 3.8 million tonnes more than the level harvested in 2016; an increase of 12.0%. In addition, the harvested production of rape and turnip rape seeds was 21.9 million tonnes (an increase of 9.5%). Unfortunately, these models of agricultural production are connected with a number of environmental problems (loss of biodiversity, environmental pollution, greenhouse gas emissions, etc.). In current crop systems dominated by two or three major species, legumes can act as a diversification crop, break pest cycles and diseases, develop populations of beneficial organisms for crop protection, reduce artificial inputs in the rotation, improve the use efficiency of artificial inputs, and increase the quality of landscape mosaics [1]. Now, many national governments in Europe have invested in projects to support the production of legume crops in, although there is still a lack of compelling economic grounds for growing legumes, especially in areas where cereals and oilseeds grow particularly well [3]. A promising alternative could be the reduction of costs in legume production. Conventional tillage can be gradually replaced by new methods, which reduce the time spent in tillage operations. A reduction in field time is a necessity because of short time of tillage period before sowing, and also due to need cost-cutting especially on large-acreage farms. [5]. Long-term continuous cropping provides a valuable background for the recognition of the multiplicity of crop rotation functions [6]. Therefore, the aim of this experiment was to evaluate of the effects of various tillage systems on the productivity of a narrow-leaved lupin (NL)-winter wheat (WW)-winter triticale (WT)-winter barley (WB) rotation.

2. Material and Methods

2.1. Site Description

The study was carried out in a long-term field experiment conducted at the Złotniki Research Station in the Wielkopolska region, Poland (52°29′ N, 16°49′ E). The field experiment (4-crop rotation) was located as a stationary experiment and was carried out at the same location each year. The soil type classified according to WRB as Albic Luvisols on a grey-brown podsolic (pH = 4.8 measured in 1 M KCL; 1.3% organic matter: 50–110 mg P kg−1soil, 115–195 mg K kg−1soil).
It is generally accepted that climatic conditions throughout Poland are suitable for the cultivation of most cereal and legume species, which require 500–600 mm annual precipitation. Weather conditions during the growing season in the years of study (2012–2016) are presented using the hydrothermal index according to Sielianinov (Table 1).
The hydrothermal index is expressed as a quotient of the monthly sum of precipitation and the sum of average daily air temperature in a given month for a period of time. Variability of weather conditions in the years of the study was reflected in the values of the index. More favorable moisture conditions for vegetation were observed in the years 2012–2014 and 2016, than in the drier 2015 (March: K = 0.36, June: K = 0.57), which contributed to the lower WW and WT yields obtained throughout the study period.

2.2. Experimental Design and Agronomic Management

The field experiment was established in crop rotations with 75% cereal composition. The four plant species used were narrow-leaved lupin (Lupinus angustifolius L. cv. ‘Bojar’), winter wheat (Triticum aestivum cv. ‘Bogatka’), winter triticale (Triticosecale Wittm. cv. ‘Witon’), winter barley (Hordeum vulgare cv. ‘Maybrid’), as shown in Table 2.
The study over a five-year period (2012–2016) was conducted as a one-factorial field experiment with four replications. The factor was the adopted soil tillage system: conventional tillage (CT), reduced tillage (RT) and no-tillage (NT). All tillage systems have been applied continuously since 1997 (Table 3).
In each year, the pre-crop to NL was WW. During the growing season, recommended pesticides were used for particular target species. Sowing and harvest dates depended on species and weather conditions. The recommended sowing rates for seeds capable of germination were: 100 seeds m2 for NL and 400 seeds m2 for the cereals. The sowing depth in all tillage systems was 4 cm and the row space was 18 cm. In all the tillage systems plots were drilled with a double disk drill (Great Plains, Solid Stand 10′ equipped with a fluted coulter for residue cutting, a double disk for seed placement, and a press wheel, 3 m wide, weight of the tractor 2885 kg).

2.3. Data Collection

Crops were harvested annually from a 11.40 m2 (7.6 × 1.5 m) plot a 1.5 m wide Wintersteiger classic plot combine. The seed yield per hectare was calculated at a 15% moisture level. In addition, the following parameters were assessed for NL: plant density per square meter before harvest (4 frames with dimensions of 0.25 m2), mass of nodules per plant (measured on five randomly collected whole lupin plants during flowering), number of pods per plant, number of seeds per plant, number of seeds per pod (measured on 15 randomly collected whole lupin plants several days before harvest) and 1000 seeds-weight in grams (seeds collected from the harvested seed mass; 2 × 500 seeds were counted and weighed).
Analysis of weed infestation was carried out two weeks before seed harvesting. Weed density was sampled in each growing season with 1 × 1 m quadrats placed randomly on each plot. Plant material was oven dried at 80 °C for 48 h, and the dry weight, corresponding to the aboveground biomasses, was determined. Weed infestation was expressed as the dry mass of weeds per unit area (m2).
Analyses of the protein content in the NL seeds was carried out according to the Kjeldahl method (nitrogen values were multiplied by 6.25) [7]. Protein content in the seeds was expressed on a dry weight basis (g kg−1) and recalculated as protein efficiency (kg ha−1).
Economic performance of the soil tillage systems was assessed using data from the experimental plots, i.e., machinery operations, inputs and yields. Total cost includes the cost of seeds, fertilizers, chemical crop protection, machinery operations, labor, and services. The calculations were based on 2015 prices. The cost of seeds, fertilizers and plant protection (herbicides, fungicides, insecticides) were estimated according to data from agricultural dealers and national-level market prices (http://www.cenyrolnicze.pl). Crop subsidy data was taken from ARR (http://www.arr.gov.pl/). Subsidies included: single area payment (€ 107.59), additional payment for legumes (€ 241.18) and direct payments for seeds (€ 30.83). All prices and costs were recalculated in euro (€) according to the monthly average exchange rate in September 2015 (Central Bank of the Republic of Poland, http://www.nbp.pl/homen.aspx?f=/kursy/kursyen.htm).

2.4. Statistical Analysis

All data were processed using one-way analysis of variance (ANOVA) with the SAS package. The means of treatments were compared using Tukey’s Multiple Range test and the least significant difference (LSD) was declared at the p < 0.01 and p < 0.05 levels. The relationship between the parameters was determined with the Pearson correlation coefficient.

3. Results

The effect of soil tillage system on weed infestation, NL development and yield is shown in Table 4.
Weed infestation analysis, expressed as dry mass of weeds, indicated that the weed community assembly was affected by the soil tillage system. Dry mass of weeds under CT was significantly lower, by 23.1 g m2 and 45.7 g m2, than in RT and NT, respectively (Table 4). There was also a significant difference between dry mass of weeds in RT and NT. The mass of weeds in NT was approximately two times greater than in RT.
The soil tillage systems also influenced the dry mass of nodules per plant. The largest dry nodule mass was found on plants growing under NT (102.6 mg) and was significantly lower on plants collected from RT and CT, by 17% and 28.5%, respectively. Soil tillage systems did not have an influence on morphological features, such as: the number of pods per plant, the number of seeds per plant, the number of seeds per plant pod and the mass of 1000 seeds. The Pearson’s linear correlation showed a strong relationship, or a practically functional relationship between the number of pods per plant and the number of seeds per plant in each soil tillage system (Figure 1).
The analysis of variance showed a significant effect of tillage system on the NL seed yield (Table 4). The greatest yield was found in CT and was significantly lower in RT and NT, by 10% and 23.3%, respectively. In CT, the yield level mostly depended on plant density, while in NT, it depended on the number of seeds per plant pod.
The protein content ranged from 295 g kg−1 in CT to 314 g kg−1 in NT, and tillage system did not influence the protein content in NL seeds. However, there was a trend of increasing protein content in seeds as the tillage system became more minimized (i.e., NT > RT > CT): in NT, it was strongly related to the dry mass of nodules per plant (Figure 1). The Pearson’s linear correlation showed a practical functional relationship between seed yield and protein efficiency. Protein efficiency was strongly related to the NL seed yield across all tillage systems (Figure 1); protein efficiency ranged from 722 kg ha−1 in NT to 884 g kg−1 in CT. Protein efficiency in CT was 6.9 % and greater than in RT and in NT, respectively. Moreover, the costs of producing 1 kg of protein and 1 tonne of seeds were lowest in CT (Table 5).
Although, the cost of total production was greatest in the CT system (€ 721.49 ha−1), the gross agricultural income was also the highest (€ 369.53 ha−1). This means that the increase in yield produced by the more intensive tillage option completely covered the increase in the total cost. The lowest production value (€ 925.02 ha−1) was recorded in NT. In this tillage system, the highest costs for seeds and protein production (€ 296.94 t−1 and € 0.95 t−1, respectively) and the lowest gross agricultural income (€ 242.29 ha−1) were also recorded. In comparison with CT, the total cost of production in NT was 5.7% lower, but the gross agricultural income was 34.5% lower. In the case of RT, the differences were smaller, but income losses still exceeded the value of savings because of reduced production costs.
Cereal yield from the different tillage systems is shown in Table 6.
Minimizing tillage operations decreased the yield of all cereals in the rotation. Yield of WW was significantly lower in the RT system (by 6%), and the NT system (by 16%), in comparison to CT. There was no significant difference between CT and RT for the cultivation of WT, although the difference was 7% (430 kg ha−1) in comparison to NT. For WB, yield was 0.43 t ha−1 lower in RT and 1.89 t ha−1 lower in NT, compared to CT. In comparison to RT, the NT system decreased WW yield by 11.2%, WT yield by 1% and WB yield by 39.6%.

4. Discussion

High levels of weed infestation in RT and/or NT have been reported in many experiments [8,9,10,11,12]. Usually, ploughing and harrowing for soil preparation is used prior to sowing of lupin. In the case of NT, chemical control (glyphosate) is used as a desiccant in the pre-sowing stage instead of mechanical control. This program of chemical control is not particularly effective as weeds in lupin crops have become increasingly difficult to control due to the development of resistance to commonly used herbicides [13]. Chemical control of weeds should mainly consider the selectivity of the crop to the herbicide, followed by an observation of the application technology, as well as other important details such as the mixture of the compounds, the environmental conditions and the use of adjuvants etc. [14]. Ploughing moves weeds seeds near to the surface of the soil, where after germination, the weeds are mechanically or chemically destroyed. Auškalniene and Auškalnis [15] found that the largest number of weed seed species, in reduced and no-tillage systems, occurred in the upper soil layer (0–5 cm). Moreover, ploughing moves microorganisms near to the soil’s surface.
In the current study, the soil tillage systems also modified the dry mass of nodules per plant. Dogan et al. Reference [16] observed that the highest dry nodule values in NL occurred with direct sowing and the lowest in CT with burnt residue. Many similar studies have reported that NT systems had positive effects on soil activities [17,18,19,20]. For example, Rhizobia are particularly sensitive to heat, desiccation (drying) and light [21]. There are lots of experiments which demonstrated that no-tillage improves soil moisture content and soil water storage [22,23,24,25]. In addition, no-tillage increases the content of organic carbon and macro elements in the soil, which can be a source of nutrients for microorganisms [17,26,27].
In the current study, as with earlier experiments [28], the soil tillage systems did not have a significant influence on number of seeds per plant pod, although the CT and RT systems led to a reduction in the number of pods and seeds per plant. Moreover, tillage system did not have an influence on seed yield of NL and yellow lupin, which amounted to approximately 1 t ha−1.
According to Suliman [29], conventional tillage and mechanical weed control significantly increases the plant density of legumes. In the present experiment, the highest plant density was found in CT (75.4 m2) and was significantly lower under RT (by 7.7%) and NT (by 24.8%). In the earlier study [28], the results were similar: the lowest plant density for yellow lupin (cv. Mister) and narrow-leaved lupin (cv. Baron) were found under NT and were significantly higher in CT. The non-tillage system has been reported to reduce plant density [30,31,32,33,34]. Some authors claim that to the reason is forecrop straw, which reduces soil warming and seed germination [35,36]. In our study, the reason for the significantly lower plant density, in both minimized soil tillage systems, could be that weed infestation was substantially greater than in the CT system.
In our study, the soil tillage system appeared to affect the seed yield of NL; the greatest yield was found in CT. In turn, Heenan et al. [32] showed that the mean annual seed yields of NL ranged from 0.26–3.15 t ha−1 and that the differences in lupin seed yields between tillage (conventional cultivation and direct drilling) and stubble treatments over time were marginal. Those authors also observed that, on less stable soils, it is possible for similar treatments over the same period to have a greater effect on lupin yield. In the literature, it is difficult to find experiments that investigate the effect of soil tillage systems on lupin production. Many similar studies, conducted in different conditions and locations, have reported that different minimized soil tillage systems had no negative effects on the yield of soybean [11,37,38,39,40].
Lupin (Lupinus sp.) is a legume that is valued primarily for its high protein content, similar to soybean. In contrast to soybean, lupin can be grown in more temperate and cool climates and can be considered as the strongest competitor to soybean [41].
The decision to undertake lupin production is determined by many factors; of the most important is the profitability of production. According to Rutkowski et al. [42], ground soybean contains 46% protein. In 2014/2015, 1 t of ground soybean cost € 395 (The Fodder Market, December 2015). Thus, the price of 1 kg of ground soybean protein was € 0.86 (price excluding profit margin of dealers) and was lower than the production costs of 1 kg protein of NL under the NT system, similar to the RT system and higher when compared to the CT system.
Most experiments with cereals, which compare conventional and no-ploughing tillage systems, have given inconsistent results. Some authors claim that non-inversion tillage has no effect on the yield of cereals [11,43,44,45,46]. Others have shown decreased cereal yield under no-ploughing conditions [47,48,49,50]. Some studies have found an increase in cereal yield in reduced and no-tillage soil tillage systems [40,51,52,53]. In our study, WW and WT yields were similar, and WB yield was lowest, across each soil tillage system in the same years (2015–2016). Martínez et al. [54] reported that crop yield was significantly greater with the NT system for winter cereals (WW, WB) and legumes (field beans and peas), but was lower for root and tuber crops (sugar beet, potatoes). According to those authors, the high crop yields in the no-tillage system in their long-term field experiment were due to a well-balanced crop rotation.

5. Conclusions

Productivity of the narrow-leaved lupin-winter wheat-winter triticale-winter barley rotation was lower under RT and NT systems compared to CT. The highest NL yield was found in the CT system. Both RT and NT systems relevantly decreased seed yield. Economic analysis indicated that in both minimized soil tillage systems the income losses exceeded the value of savings from reduced production costs, although all tillage systems were profitable. In practice, minimalizing cultivation in rotations with 75% cereals produced a decrease in yield for all crops, which can lead to resign of using the RT and NT under grey-brown podsolic soil.

Author Contributions

K.P. and A.F. conceived and designed the experiments; K.P., A.F., J.S. and G.S. performed the field experiments and analyzed the data; A.F. statistical analysis; K.R. and H.S. prepared the references; K.P. wrote the paper; H.S. revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Polish Ministry of Agriculture and Rural Development project number HOR 3.3/2011–2015. and The APC was funded by Ministry of Science and Higher Education programme Project No. 005/RID/2018/19.

Acknowledgments

This study was made possible by a grant from the Polish Ministry of Agriculture and Rural Development, Project: Improving domestic sources of plant protein, their production, trading and use in animal feed, project No. HOR 3.3/2011–2015 And within the framework of Ministry of Science and Higher Education programme as „Regional Initiative Excellence” in years 2019–2022, Project No. 005/RID/2018/19.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Correlation coefficients between analyzed parameters for narrow-leaved lupin. Tillage systems: TS, tillage system; CT, conventional tillage; RT, reduced tillage; NT, no-tillage. Parameters compared: PD, plant density; DMS, dry mass of nodule per plant; NP, number of pods per plant; NS, number of seeds per plant; NSP, number of seeds per plant pod; MTS, mass of 1000 seeds; SY, seed yield; PRC, protein content; PRE, protein efficiency.
Figure 1. Correlation coefficients between analyzed parameters for narrow-leaved lupin. Tillage systems: TS, tillage system; CT, conventional tillage; RT, reduced tillage; NT, no-tillage. Parameters compared: PD, plant density; DMS, dry mass of nodule per plant; NP, number of pods per plant; NS, number of seeds per plant; NSP, number of seeds per plant pod; MTS, mass of 1000 seeds; SY, seed yield; PRC, protein content; PRE, protein efficiency.
Agronomy 10 00304 g001
Table 1. Hydrothermal index Sielianinov Index (K) in the growing season (March to October) in 2012–2016 (recorded at the agrometeorological observatory in Złotniki, Poland).
Table 1. Hydrothermal index Sielianinov Index (K) in the growing season (March to October) in 2012–2016 (recorded at the agrometeorological observatory in Złotniki, Poland).
Year/MonthMarchAprilMayJuneJulyAugustSeptemberOctober
20120.680.921.242.622.531.000.721.27
20133.500.721.812.040.760.762.010.51
20141.011.812.250.890.701.681.000.40
20150.361.341.100.570.912.740.541.08
20164.271.450.901.522.550.750.114.23
K: < 0.5–drought, 0.5–1.0–semi-drought, 1.0–1.5–border of optimal moisture, >1.5–excessive moisture.
Table 2. Crop rotation in 2012–2016.
Table 2. Crop rotation in 2012–2016.
Crop Rotation (Harvest Year)
20122013201420152016
narrow-leaved lupinwinter wheatwinter triticalewinter barley-
-narrow-leaved lupinwinter wheatwinter triticalewinter barley
--narrow-leaved lupinwinter wheatwinter triticale
---narrow-leaved lupinwinter wheat
Table 3. Tillage Systems.
Table 3. Tillage Systems.
Tillage SystemCultivation Measures
CTPost-harvest cultivation: disk harrow (2.5 m wide) to a depth of 8 cm and fertilization.
Basic land preparation: ploughing to a depth of 30 cm with a 3-furrow reversible plough.
Pre-plant tillage: cultivator followed by harrowing to a depth of 8 cm and rolling).
RTPost-harvest cultivation: application of glyphosate herbicide (3 l ha−1), and fertilization.
Basic land preparation: stubble cultivator (2.5 m wide).
Pre-plant tillage: cultivator followed by harrowing to a depth of 8 cm and rolling.
NTPost-harvest cultivation: application of glyphosate herbicide (3 l ha−1) and fertilization.
Basic land preparation:
Pre-plant surface preparation: application of glyphosate herbicide (3 l ha−1) and sowing directly into the stubble of the previous crop.
TS: tillage system; CT: conventional tillage; RT: reduced tillage; NT: no-tillage.
Table 4. Effect of soil tillage system on weed infestation, narrow-leaved lupin (NL) development and yield.
Table 4. Effect of soil tillage system on weed infestation, narrow-leaved lupin (NL) development and yield.
SpecificationTillage SystemsLSD Values
CTRTNT
Dry mass of weeds (g m2)1.524.646.423.84 **
Plant density (no. m2)75.469.656.74.65 **
Dry mass of nodules per plant (mg)73.485.1102.616.1 **
No. of pods per plant14.813.713.9NS
No. of seeds per plant57.851.156.6NS
No. of seeds per plant pod3.93.74.1NS
Mass of 1000 seeds (g)145143142NS
Seed yield (t ha−1)3.02.72.30.18 **
Protein content (g kg−1 d.m.)295304314NS
Protein efficiency (kg ha−1)88482372253.7 **
NS: not significant; * p < 0.05 and ** p < 0.01. Tillage: CT, conventional tillage; RT, reduced tillage; NT, no-tillage.
Table 5. Economic analysis of profitability of narrow-leaved lupin (NL) cultivation under different soil tillage systems (all values expressed in euro).
Table 5. Economic analysis of profitability of narrow-leaved lupin (NL) cultivation under different soil tillage systems (all values expressed in euro).
SpecificationTillage Systems
CTRTNT
Production value * ha−11091.021019.88925.02
Total cost ha−1721.49711.40682.73
Gross agricultural income ha−1369.53308.48242.29
Cost of 1 t seed production **240.50263.48296.94
Cost of 1 kg protein production ***0.820.860.95
Tillage: CT, conventional tillage; RT, reduced tillage; NT, no-tillage, * (average yield ha−1 × € 237. 14, price of 1 t seeds) + € 379.60 EU subsidies, ** Total cost/average yield ha−1, *** Total cost/average protein yield ha−1.
Table 6. Effect of soil tillage system on cereal yield (t ha−1) in the crop rotation.
Table 6. Effect of soil tillage system on cereal yield (t ha−1) in the crop rotation.
SpeciesTillage SystemsLSD Values
CTRTNT
Winter wheat (mean 2013–2016)6.86.45.70.35 **
Winter triticale (mean 2014–2016)6.46.05.90.39 **
Winter barley (mean 2015–2016)4.13.72.20.28 **
Winter wheat (mean 2015–2016)6.75.95.10.49 **
Winter triticale (mean 2015–2016)6.35.95.60.55 **
** p < 0.01. Tillage: CT, conventional tillage; RT, reduced tillage; NT, no-tillage.

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Panasiewicz, K.; Faligowska, A.; Szymańska, G.; Szukała, J.; Ratajczak, K.; Sulewska, H. The Effect of Various Tillage Systems on Productivity of Narrow-Leaved Lupin-Winter Wheat-Winter Triticale-Winter Barley Rotation. Agronomy 2020, 10, 304. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy10020304

AMA Style

Panasiewicz K, Faligowska A, Szymańska G, Szukała J, Ratajczak K, Sulewska H. The Effect of Various Tillage Systems on Productivity of Narrow-Leaved Lupin-Winter Wheat-Winter Triticale-Winter Barley Rotation. Agronomy. 2020; 10(2):304. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy10020304

Chicago/Turabian Style

Panasiewicz, Katarzyna, Agnieszka Faligowska, Grażyna Szymańska, Jerzy Szukała, Karolina Ratajczak, and Hanna Sulewska. 2020. "The Effect of Various Tillage Systems on Productivity of Narrow-Leaved Lupin-Winter Wheat-Winter Triticale-Winter Barley Rotation" Agronomy 10, no. 2: 304. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy10020304

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