Estimation and spatialization of final soybean productivity in La Niña years in Rio Grande do Sul
DOI:
https://doi.org/10.5902/2179460X86829Keywords:
Glycine max L, Geostatistics, Water deficitAbstract
Soybeans, the main spring-summer crop in RS, had productivity reductions due to water deficiency, which is recurrent in the state. Thus, the objective was to estimate the final productivity (%) of soybeans in different locations and sowing data, for soils of medium texture and to create maps of the spatial variability of this variable in the state of RS, for La Niña years. The final productivity estimate was carried out using the Sisdagro INMET application for sowing data with a 7 day interval between November and December, for the agricultural years 2019/20, 2020/21 and 2021/22, in 47 municipalities in RS. Using ordinary kriging, thematic maps of final productivity (%), average of the three years was created. The average soybean productivity was estimated at 43.3%, with a minimum of 17.7% in Uruguaiana for sowing on 11/15 and a maximum of 82.3% in Bom Jesus, for sowing on 12/27. Productivity values varied from 37.7% to 48.8% for sowing between 1/11 and 27/12, decreasing a linear pattern of productive increase with the delay in sowing. The final productivity (%) of soybean showed spatial dependence and a similar pattern of variability for the different sowing data in Lã Niña years.
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