Organ-specific critical N dilution curves and derived NNI relationships for winter wheat, winter oilseed rape and maize

2021 ◽  
Vol 130 ◽  
pp. 126365
Author(s):  
Klaus Sieling ◽  
Henning Kage
Keyword(s):  
Winter Wheat ◽  
Oilseed Rape ◽  
Winter Oilseed Rape ◽  
Organ Specific ◽  
Dilution Curves

scholarly journals Analysis of Changes in Soil Organic Carbon, Energy Consumption and Environmental Impact Using Bio-Products in the Production of Winter Wheat and Oilseed Rape

2020 ◽  
Vol 12 (19) ◽  
pp. 8246
Author(s):  
Darius Juknevičius ◽  
Zita Kriaučiūnienė ◽  
Algirdas Jasinskas ◽  
Egidijus Šarauskis
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Organic Carbon ◽  
Environmental Impact ◽  
Soil Organic Carbon ◽  
Winter Wheat ◽  
Environmental Impacts ◽  
Oilseed Rape ◽  
Control Treatment ◽  
Winter Oilseed Rape

Agricultural management, environmentally friendly technologies, chemical, organic and bio-based substances used, as well as meteorological factors, have a significant impact on the fluctuations of soil organic carbon (SOC). The aim of this research was to analyze the effect of different biopreparations on the changes of SOC content and the winter wheat and winter oilseed rape yields by assessing the energy consumption efficiency and the environmental impacts. The experimental research was conducted from 2017 to 2019 in three different treatments, in two of which were used either a molasses and magnesium sulphate based-biopreparation (T1) or a bacteria-based biopreparation (T2), while treatment T3 was applied as a control where no biopreparations were used. The dynamics of SOC content were analyzed at two depths: 0–10 and 10–20 cm. For the analysis of energy efficiency indicators and environmental impacts, the greenhouse gas (GHG) and energy consumption conversion equivalents were used. A summary of the results showed that both types of biopreparations had a positive effect on the changes of SOC content, which was especially evident in the deeper layers at 10–20 cm depth, where, irrespective of the crop type, a more significant increase of the SOC content was observed every year of the experiment compared to the control treatment. Biopreparations had a significant effect in increasing the winter wheat and winter oilseed rape yield. The best energy efficiency ratio was observed in winter wheat (4.84) and winter oilseed rape (5.11) in treatment T1. The results of the environmental impact assessment showed that the lowest GHG emissions were recorded in the winter wheat production in treatment T1 at 108.7–149.1 kg CO2eq Mg−1, while the highest were observed in oilseed rape production in the control treatment T3 at 343.4 kg CO2eq Mg−1.

scholarly journals Crop yields, boron availability and uptake in relation to phosphorus supply in a field experiment

2018 ◽  
Vol 64 (No. 12) ◽  
pp. 619-625
Author(s):  
Gabriela Mühlbachová ◽  
Pavel Čermák ◽  
Martin Káš ◽  
Kateřina Marková ◽  
Radek Vavera ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Field Experiment ◽  
Oilseed Rape ◽  
Crop Yields ◽  
Spring Barley ◽  
Triple Superphosphate ◽  
P Fertilization ◽  
Winter Oilseed Rape ◽  
Order Of Magnitude ◽  
B Uptake

The boron (B) availability and uptake were studied in relation to different phosphorus rates applied into soils in a three-year field experiment (2015–2017). The experiment was carried out at the experimental station at Humpolec (Bohemian-Moravian Highlands, Czech Republic). Three rates of phosphorus (20-40-80 kg P/ha) were applied as triple superphosphate. The crop rotation was spring barley-winter oilseed rape-winter wheat. No systematic fertilization with B was used and the response of natural boron soil content to the different phosphorus supply was studied. The crop yields, B content in plants, B-uptake, and content of B (extracted by Mehlich 3 and NH<sub>4</sub> acetate methods) were determined. Spring barley and winter wheat B uptake was about one order of magnitude lower in comparison with oilseed rape. Significant differences in B content in soils, in crop tissues and B-uptake, were found mainly under higher phosphorus doses (40 and 80 kg P/ha). NH<sub>4</sub> acetate method showed better correlations between P and B contents in soils than Mehlich 3 method from the second experimental year. The P-fertilization may affect negatively the B-uptake by plants, particularly if the highly nutrient demanding crop is grown.

scholarly journals Grain Yield and Quality of Winter Wheat Depending on Previous Crop and Tillage System

Agriculture ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 133
Author(s):  
Dorota Gawęda ◽  
Małgorzata Haliniarz
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Oilseed Rape ◽  
Triticum Aestivum L ◽  
Winter Oilseed Rape ◽  
Brassica Napus L ◽  
Straw Yield ◽  
Tillage System ◽  
Ct System ◽  
Gluten Index

The effects of previous crops (soybean (Glycine max (L.) Merr.) and winter oilseed rape (Brassica napus L. ssp. oleifera Metzg)), as well as of conventional tillage (CT) and no-tillage (NT), on yield and some quality parameters of winter wheat (Triticum aestivum L.) grain were evaluated based on a four-year field experiment. Wheat was grown in a four-field crop rotation: Soybean—winter wheat—winter oilseed rape—winter wheat. The study revealed that growing winter wheat after soybean, compared to its cultivation in the field after winter oilseed rape, significantly increased grain and straw yield, as well as all yield and crop components evaluated. After the previous soybean crop, higher grain protein content, Zeleny sedimentation value, and grain uniformity were also found. After winter oilseed rape, only a greater value of the gluten index was obtained. Statistical analysis did not show the tillage system (TS) to influence the grain yield of winter wheat. Under the CT system, relative to NT, straw yield, number of ears per 1 m2, and plant height of winter wheat were found to be significantly higher. The NT system, on the other hand, beneficially affected the thousand grain weight. Wheat grain harvested under the CT system was characterized by a higher grain test weight, better grain uniformity, and lower gluten index than under NT.

scholarly journals Influence of Soil Cultivation Technologies and Fertilisation on Productivity and Energy Production of Arable Crops

2012 ◽  
Vol 58 (1) ◽  
pp. 25-33
Author(s):  
Štefan Žák ◽  
Milan Macák ◽  
Roman Hašana
Keyword(s):  
Winter Wheat ◽  
Oilseed Rape ◽  
Energy Production ◽  
Dry Matter ◽  
Average Energy ◽  
Plant Production ◽  
Soil Tillage ◽  
Winter Oilseed Rape ◽  
Arable Crops ◽  
Soil Cultivation

Influence of Soil Cultivation Technologies and Fertilisation on Productivity and Energy Production of Arable Crops The influence of three soil tillage technologies and two fertilisation levels on a productivity of crops and biomass for energy use, expressed in yield, cereal units (CU), energy acquired and indicative price of energy per hectare was evaluated at the experimental fields of Research Institute of Plant Production in Piešťany during 2007-2009. The highest yield of dry matter has been identified for maize for silage 19.41 t/ha, followed by winter oilseed rape 15.77 t/ha, triticale 15.39 t/ha and winter wheat 14.08 t/ha. Conventional tillage created soil condition for higher yield of dry matter in an average 17.92 t/ha, followed by minimum soil tillage 16.27 t/ha and no-till-age technology 14.3 t/ha. Nitrogen-based fertilisation (N120) has ensured a significantly higher yield of dry matter and a higher price of acquired energy €491.1 compared with €462.1 of zero-nitrogen fertilisation. The highest yield of cereal units has been identified for maize for silage 9.01 CU, followed by winter wheat 5.21 CU, triticale 4.70 CU and winter oilseed rape 4.55 CU. Energy of maize for silage has been calculated from biogas, winter oilseed rape from rape methyl ester, straw and crop residues, and for winter wheat and triticale from ethanol and straw. Average energy storage in plant biomass of crop rotation was 222.93 GJ/ha. The highest amount of energy acquired has been identified for winter oilseed rape 342.80 GJ/ha, followed by maize for silage with 236.99 GJ/ha, winter triticale 159.39 GJ/ha and winter wheat 152.52 GJ/ha.

Performance of 13 crop simulation models and their ensemble for simulating four field crops in Central Europe

2021 ◽  
pp. 1-21
Author(s):  
M. Kostková ◽  
P. Hlavinka ◽  
E. Pohanková ◽  
K. C. Kersebaum ◽  
C. Nendel ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Oilseed Rape ◽  
Spring Barley ◽  
Simulation Models ◽  
Winter Oilseed Rape ◽  
Crop Models ◽  
Field Crops ◽  
Silage Maize ◽  
Temperature And Precipitation ◽  
Mean Square Errors

Abstract The main aim of the current study was to present the abilities of widely used crop models to simulate four different field crops (winter wheat, spring barley, silage maize and winter oilseed rape). The 13 models were tested under Central European conditions represented by three locations in the Czech Republic, selected using temperature and precipitation gradients for the target crops in this region. Based on observed crop phenology and yield from 1991 to 2010, performances of individual models and their ensemble were analyzed. Modelling of anthesis and maturity was generally best simulated by the ensemble median (EnsMED) compared to the ensemble mean and individual models. The yield was better simulated by the best models than estimated by an ensemble. Higher accuracy was achieved for spring crops, with the best results for silage maize, while the lowest accuracy was for winter oilseed rape according to the index of agreement (IA). Based on EnsMED, the root mean square errors (RMSEs) for yield was 1365 kg/ha for winter wheat, 1105 kg/ha for spring barley, 1861 kg/ha for silage maize and 969 kg/ha for winter oilseed rape. The AQUACROP and EPIC models performed best in terms of spread around the line of best fit (RMSE, IA). In some cases, the individual models failed. For crop rotation simulations, only models with reasonable accuracy (i.e. without failures) across all included crops within the target environment should be selected. Application crop models ensemble is one way to increase the accuracy of predictions, but lower variability of ensemble outputs was confirmed.

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