Water stress alters morphophysiological, grain quality and vegetation indices of soybean cultivars.

Rainfall is among the climatic factors that most affect production, as in the Brazilian Cerrado. Non-destructive and automated phenotyping methods are fast and efficient for genotype selection. The objective of this work was to evaluate, under field conditions, the morphophysiological changes, yield...

Descripción completa

Autores: TAVARES, C. J.; RIBEIRO JUNIOR, W. Q.; RAMOS, M. L. G.; PEREIRA, L. F.; CASARI, R. A. das C. N.; PEREIRA, A. F.; SOUSA, C. A. F. de; SILVA, A. R. da; SILVA NETO, S. P. da; MERTZ-HENNING, L. M.
Tipo de documento: Artículo
Estado:Published version
Fecha de publicación:2022
País:Brasil
Institución:EMBRAPA
Repositorio:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Lenguaje:Inglés
OAI Identifier:oai:www.alice.cnptia.embrapa.br:doc/1144005
Acceso en línea:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144005
https://doi.org/10.3390/plants11040559
Nivel de acceso:Acceso abierto
Palabra clave:NDVI
Índice de refletância fotoquímica
Troca gasosa
Automação
Variedade
Glycine Max
Sumario:Rainfall is among the climatic factors that most affect production, as in the Brazilian Cerrado. Non-destructive and automated phenotyping methods are fast and efficient for genotype selection. The objective of this work was to evaluate, under field conditions, the morphophysiological changes, yield, and grain quality of soybean (Glycine max L. Merrill) under water stress in the Brazilian Cerrado.

Ejemplares similares