Data/hora: 02/06/2024 00:22:36

Biblioteca(s): 	Embrapa Unidades Centrais.	
Data corrente: 	17/02/2012	
Data da última atualização: 	18/04/2018	
Autoria: 	SOLEDAD CARRERA, C.; REYNOSO, C. M.; FUNES, G. J.; MARTÍNEZ, M. J.; DARDANELLI, J.; RESNIK, S. L.	
Afiliação: 	Constanza Soledad Carrera, Instituto Nacional de Tecnología Agropecuaria; Cora Marcela Reynoso, Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales; Gustavo Javier Funes, Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales; María José Martínez, Instituto Nacional de Tecnología Agropecuaria; Julio Dardanelli, Instituto Nacional de Tecnología Agropecuaria; Silvia Liliana Resnik, Comisión de Investigaciones Científicas de la Provincia de Buenos Aires.	
Título: 	Amino acid composition of soybean seeds as affected by climatic variables.	
Ano de publicação: 	2011	
Fonte/Imprenta: 	Pesquisa agropecuária Brasileira, Brasília, DF, v. 46, n. 12, p. 1579-1587, dez. 2011	
Idioma: 	Inglês	
Notas: 	Título em português: Conteúdo de aminoácidos em sementes de soja em função de variáveis climáticas.	
Conteúdo: 	The objective of this work was to perform a quantitative analysis of the amino acid composition of soybean seeds as affected by climatic variables during seed filling. Amino acids were determined from seed samples taken at harvest in 31 multi-environment field trials carried out in Argentina. Total amino acids ranged from 31.69 to 49.14%, and total essential and nonessential amino acids varied from 12.83 to 19.02% and from 18.86 to 31.15%, respectively. Variance components expressed as the percentage of total variation showed that the environment was the most important source of variation for all traits, followed by the genotype x environment interaction. Significant explanatory linear regressions were detected for amino acid content regarding: average daily mean air temperature and cumulative solar radiation, during seed filling; precipitation minus potential evapotranspiration, during the whole reproductive period; and the combinations of these climatic variables. Each amino acid behaves differently according to environmental conditions, indicating compensatory effects among them.	
Palavras-Chave: 	Environmental variation; Multi-environment trials; Multiple linear regression.	
Thesagro: 	Glycine Max.	
Thesaurus Nal: 	protein composition.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/54433/1/46n12a01.pdf	
Registro original: 	Embrapa Unidades Centrais (AI-SEDE)	
Exemplares: 	AI-SEDE - (52642-1) - UPE - AP - PP - 630.72081 - P474 -  - DIS