Field methods for making productivity classes for site-specific management of wheat

• Published in: Precision agriculture Vol. 23; no. 4; pp. 1153 - 1173
• Main Authors: López de Sabando, Marcelo José, Diaz-Zorita, Martín
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2022; Springer Nature B.V
• Subjects: Agricultural practices; Agricultural production; Agriculture; Atmospheric Sciences; Biomedical and Life Sciences; Cereal crops; Chemistry and Earth Sciences; Clustering; Computer Science; Crop production; Crop rotation; Crop yield; Crops; Decision making; Economics; Fertilization; Grain; Life Sciences; Nitrogen; Nutrients; Physics; Productivity; Profitability; Remote Sensing/Photogrammetry; Satellite imagery; Soil maps; Soil properties; Soil Science & Conservation; Statistics for Engineering; Vegetation index; Wheat; Site-specific analysis; Nitrogen; Wheat; Dryland cropping systems
• ISSN: 1385-2256; 1573-1618
• DOI: 10.1007/s11119-022-09878-3

Reducing the decision-making unit to classes within fields can improve yields, efficiency in the use of nutrients and profitability of crops. The objectives were to compare methods for class delimitation in wheat ( Triticum aestivum L.) crops based on apparent productivity levels and establish similarities among them in terms of spatial overlapping, productive attributes and the use of nitrogen. In three wheat fields, high and low apparent productivity classes (APC) were defined based on eight methodologies: yield maps, soil maps, gramineae vegetation index, rotation crop index, interpretation of satellite images, management records, elevation and integrated soil and yield maps. In each APC, soil and crop yield components were determined under five nitrogen fertilization levels. Among delimitation methodologies, the degree of coincidence varied from 1.4 to 81.7%. The differences in soil properties, nitrogen use efficiency and grain yields were greater among fields than among APC within each field. In each field, the delimitation methodologies identified different single factors that discriminated among the potential management classes and were partially associated with the crop grain yields. The wheat crops at the low APC yielded 39% less and 12% less than at the high APC, respectively. The nitrogen fertilization, at the rate for maximum productivity for each ACP, reduced the yield differences between contrasting APC. Nitrogen fertilization also modified clustering of classes based on expected yields. Making management classes for wheat based on expected productivity is more accurate when based on previous crop production information under similar nitrogen fertilization conditions than the targeted crop.