Data/hora: 07/06/2024 11:02:01

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	09/01/2020	
Data da última atualização: 	20/01/2020	
Autoria: 	FREIRE, F. J.; SILVA, F. C. da; VENEGAS, V. H. A.	
Afiliação: 	FERNANDO JOSÉ FREIRE, UFRPE; FABIO CESAR DA SILVA, CNPTIA; VICTOR HUGO ALVAREZ VENEGAS, UFV.	
Título: 	Modeling for fertilization and liming for sugarcane in low fertility soils.	
Ano de publicação: 	2019	
Fonte/Imprenta: 	In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings. Viçosa, MG: SBCS, 2019. v. 2, p. 543-544.	
ISBN: 	978-85-86504-27-3	
Idioma: 	Inglês	
Notas: 	WCSS 2018.	
Conteúdo: 	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).	
Palavras-Chave: 	Efficient use; Soil fertility modeling; Sugarcane nutrition.	
Thesagro: 	Cana de Açúcar; Fertilidade do Solo.	
Thesaurus Nal: 	Soil fertility; Sugarcane.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/208443/1/Modeling-fertilization-WCSS.pdf	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (20398-1) - UPC - RA - DD -  -  -  - DIS