Relationship between Grain Crop Yield Potential and Nitrogen Response

The paper presents substantiation of the rational use of combine harvesters’nominal throughput when threshing grain crops with the yield ranging from 0.8 to 5.0 t/ha and over. The main factors that determine nominal throughput of combine harvesters and their operational indicators are identified. The structure andcontents of thetechnological passport of combine harvesters are substantiated, and the algorithm of effective determination of their key operational indicators, based on the passport, are developed. These indicators depend on harvesting technology, grain crop yield, the share of non-grain part in the threshed grain bulk, the coverage of swath headers and direct-cut headers, and the operating speed of combine harvesters. The definition of the term “technological passport of the combine harvester” is given. Maximum and minimum allowable grain crop yield is established for the rational load of combine harvesters threshing at the standard operating speed of7.5 km/hrecommended by the Ministry of Agriculture of theRussian Federation. The existing methods make it possible to determine the operational efficiency of high-performance machinery by operational costs. However, they do not take into account the shortage of human resources when determining production cost of the threshed grain. As a result of the research conducted, the algorithm and techniques of determination of actual grain cost when harvesting grain crops by direct combining and swath harvesting methods are developed taking into account the need in combines of an i-class and combine operators. Production cost of grain threshed on the area of1000 hectarescalculated by the techniques developed, allows to define the minimum estimated and actual grain cost for an i-class combine harvester by direct combining and swath harvesting methods.

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Regional factors of grain crop yield growth in the dynamics of recent years

Economy of agricultural and processing enterprises ◽

10.31442/0235-2494-2021-0-9-29-36 ◽

2021 ◽

pp. 29-36

Author(s):

Yuriy P. Bondarenko ◽

Keyword(s):

Crop Yield ◽

Crop Yields ◽

Methodological Approach ◽

Climatic Conditions ◽

Grain Production ◽

Fixed Assets ◽

Production Complex ◽

Grain Crop ◽

Regional Factors

In view of the significant increase in grain production in Russia, a methodological approach is proposed to analyze the significance of regional factors of grain crop yield growth in the country in recent years, especially against the background of the lack of expansion of acreage under grain crops. Based on the results of the calculations, the effectiveness of the influence of climatic, financial, infrastructural and production factors on the growth of grain yield was described. It is concluded that various factors had different effects on the growth of grain crop yields in regions with high-, medium - and low-intensity grain production complex. The role of reducing the influence of financial factors on the growth of grain yields and a sharp increase in the role of agro-climatic conditions is noted. The revealed trend of increasing depreciation of fixed assets of agriculture as a whole is particularly emphasized, with a slight increase in the volume of their renewal and modernization in the leading regions in terms of grain crop yield growth. Without taking appropriate measures to reduce the depreciation of fixed assets in the near future, this will result in a sharp decline in the achieved volumes of grain production in the country.

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An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning

Precision Agriculture ◽

10.1007/s11119-018-09628-4 ◽

2019 ◽

Vol 20 (5) ◽

pp. 1015-1029 ◽

Cited By ~ 9

Author(s):

Patrick Filippi ◽

Edward J. Jones ◽

Niranjan S. Wimalathunge ◽

Pallegedara D. S. N. Somarathna ◽

Liana E. Pozza ◽

...

Keyword(s):

Machine Learning ◽

Crop Yield ◽

Data Sets ◽

Grain Crop

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Identifying suitable regions for amaranth production using a geographic information systems approach

American Journal of Alternative Agriculture ◽

10.1017/s0889189300005798 ◽

1994 ◽

Vol 9 (3) ◽

pp. 122-126 ◽

Cited By ~ 1

Author(s):

Robert L. Myers

Keyword(s):

Systems Approach ◽

Geographic Information ◽

Yield Potential ◽

Factors Affecting ◽

Disease Information ◽

Grain Crop ◽

Sorghum Production ◽

Production Areas ◽

River Valleys ◽

Gis Software

AbstractAmaranth is an alternative grain crop that shows significant promise in the U.S. A geographic information system (GIS) was used to analyze the most suitable regions for growing amaranth in Missouri. GIS software provides tools to manipulate and display geographically based information, in this case the factors affecting amaranth's suitability. Of several such factors considered, the ones used were soils, rainfall, sorghum production, disease potential, and labor availability. Soil, rainfall, and disease information were assumed to be direct factors in yield potential. Current sorghum production areas were considered likely areas for amaranth production, given the similarities between the crops. Labor availability also was assumed to affect adoption, since amaranth requires more labor than traditional grain crops. The analysis showed that central and southeastern Missouri would be the most favorable areas for amaranth production. Other suitable areas are along the Mississippi and Missouri river valleys and in western Missouri. This GIS approach can be modified to include additional factors and refinements, and could be used with other alternative crops or for other regions of the country.

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