Geostatistic modeling of spatial distribution of common bean and soybean diseases and it relationship among soil fertility and mineral nutrition plants / Modelagem geoestatÃstica da distribuiÃÃo espacial de doenÃas do feijoeiro comum e da soja e sua relaÃÃo com a fertilidade do solo e nutriÃÃo mineral de plantas

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

The knowledge of the spatial dynamics of plant diseases and environmental factors that can influence an epidemic is very important for the definition of control strategies for efficient and sustainable management. Therefore, the objective of the present work was to evaluate the pattern of spatial distribution of white mold in two areas of winter common bean crop irrigated by center pivot. Additionally, this study aimed to characterize the spatial variability of the late season leaf diseases complex and cyst nematode in soybean using the geostatistic analysis methodology to identify its relation to soil fertility and mineral nutrition of the plants. In the first experiment it was possible to verify spatial dependence. The severity of the disease showed a clustered pattern with a strong spatial dependence, the total number of sclerotia and the number of viable sclerotia showed a moderate spatial dependence, in the area not harvested in the area after a semi-mechanized harvest. In the second experiment, the isotropic spherical semivariogram model was adjusted to late season diseases complex, with moderate spatial dependence and clustered pattern. In ordinary kriging maps, a negative relation of disease severity in soy was observed, with potassium and phosphorus in the soil, and positive with calcium in the soil. There was a significant negative disease severity correlation with leaf levels of phosphorus, magnesium and sulfur. In the last experiment, a spatial dependence, clustered pattern of the soybean cyst nematode and its correlation with potassium, phosphorus and magnesium in the soil was verified. Results were confirmed by the Pearson correlation which revealed a significant correlation between variables, except between the number of viable cysts and Mg in the soil, in this case, the correspondence was with the foliar nutrient levels. The leaf K and P levels were not influenced by the nematode infestation.

ASSUNTO(S)

agronomia

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