Modeling for fertilization and liming for sugarcane in low fertility soils.

Currently fertilizers recommendation for the sugar cane culture in Brazil are based on growth curves, obtained from the relationship between fertilizer rates and yield increment. Predictive recommendation systems are desirable and of wider application. This work was carried out aiming to structure and develop a System to estimate the nutritional balance and recommend lime and fertilizers to sugar cane plants (SBNR-C) based on the nutritional demand (ND) and expected yield (EY).

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Bibliographic Details
Main Authors: FREIRE, F. J., SILVA, F. C. da, VENEGAS, V. H. A.
Other Authors: FERNANDO JOSÉ FREIRE, UFRPE; FABIO CESAR DA SILVA, CNPTIA; VICTOR HUGO ALVAREZ VENEGAS, UFV.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2020-01-09
Subjects:Soil fertility modeling, Efficient use, Sugarcane nutrition, Cana de Açúcar, Fertilidade do Solo, Sugarcane, Soil fertility,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1118478
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Summary:Currently fertilizers recommendation for the sugar cane culture in Brazil are based on growth curves, obtained from the relationship between fertilizer rates and yield increment. Predictive recommendation systems are desirable and of wider application. This work was carried out aiming to structure and develop a System to estimate the nutritional balance and recommend lime and fertilizers to sugar cane plants (SBNR-C) based on the nutritional demand (ND) and expected yield (EY).