Abstract
The concept of production environments, which is widely used to classify the yield potential of soils, and magnetic susceptibility (MS), is emerging as an important tool for mapping ultra-detailed areas. Given this background, this paper aims to evaluate the use of MS as a tool for the identification of areas with different potential the enhancing of sugarcane yield and quality, and the allocation of varieties. An area of 445 ha was sampled at 1 point every 7 ha, and 14 points were determined for stratified sampling following the top of the landscape. Particle size and MS of samples at depths of 0.0-0.2 and 0.2-0.4 m were analyzed. The data on yield and quality of raw material were obtained from a nine crop season database and biometry performed in the 2018/19 crop season. The multivariate analysis of historical results showed the formation of three groups with different yield and quality potential, with a difference of up to 17.28 mg of cane per hectare between the group with the highest and lowest potential, based on soil MS. An analysis of the performance of the varieties involved showed that MS is effective in identifying areas with different potential for sugarcane yield and quality, differentiating by up to 34.5 % the performance of the same variety in different MS classes and by up to 38.5 % the performance of different varieties in similar MS classes. Thus, MS is an effective tool for identifying areas with different potential for sugarcane yield and quality, and can be used for allocating varieties in the field.
Highlights
Physical, chemical, and biological soil attributes should be considered in the context of their insertion into the landscape to understand the interaction between soils and agricultural yield (Wilding and Drees, 1983)
magnetic susceptibility (MS) is an effective tool for identifying areas with different potential for sugarcane yield and quality, and can be used for allocating varieties in the field
The analysis of the spatial variability of soil and plant attributes, as well as the multivariate analysis managed to capture the relationship between MS with clay, sugarcane yield and quality
Summary
Chemical, and biological soil attributes should be considered in the context of their insertion into the landscape to understand the interaction between soils and agricultural yield (Wilding and Drees, 1983). Regions in the field with similar characteristics are known as management zones (MZ) These can be defined as subregions in a given area within which seasonal differences in weather, soil, and management are expected to have more or less uniform effects on the crops planted there (Castrignano et al, 2010). A specific application of MZ is the mapping of their limits in the field, identifying areas of similar productivity potential, known as “productivity zones” or “yield zones” (Kitchen et al, 2005). These zones facilitate the appropriate management, presenting an important tool for precision agriculture
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