Data/hora: 20/06/2024 03:18:31

Biblioteca(s): | Embrapa Arroz e Feijão.
Tipo da produção científica: | Artigo em Periódico Indexado
Circulação/Nível: | B - 2
Data corrente: | 17/01/2024
Data da última atualização: | 17/01/2024
Autoria: | QUILOANGO-CHIMARRO, C. A.; COELHO, R. D.; COSTA, J. de O.; GUNDIM, A. da S.; HEINEMANN, A. B.
Afiliação: | CARLOS ALBERTO QUILOANGO-CHIMARRO, ESALQ; RUBENS DUARTE COELHO, ESALQ; JÉFFERSON DE OLIVEIRA COSTA, EPAMIG; ALICE DA SILVA GUNDIM, ESALQ; ALEXANDRE BRYAN HEINEMANN, CNPAF.
Título: | Water stress in modern upland rice cultivars: a multivariate study between physiological traits and yield.
Ano de publicação: | 2023
Fonte/Imprenta: | Irriga, v. 28, n. 3, p. 465-478, jul./set. 2023.
ISSN: | 1808-8546
DOI: | https://doi.org/10.15809/irriga.2023v28n3p465-478
Idioma: | Inglês
Conteúdo: | Water stress negatively affects upland rice production. The objective of this study was to identify physiological traits that could depict yield responses under water stress conditions. Three modern upland rice cultivars (C): BRS A501 CL (C1), BRS Esmeralda (C2) and BRS Serra Dourada (C3) were subjected to three water availability levels (W): Control (100% of the field capacity throughout the growing cycle) and 70 and 40% of the water applied to the control during flowering. Yield, spikelet sterility, and 1000-grain weight were influenced by the water availability level (p < 0.05), whereas for the cultivar, only 1000-grain weight was significant. The W × C interaction was not significant for the analyzed yield components. Multivariate analysis revealed that well-irrigated plants were positively associated with grain yield and gas exchange traits, whereas the 40% water availability level was highly related to spikelet sterility and the crop water stress index. The best-fitted model for grain yield was obtained using photosynthesis, stomatal conductance, and transpiration (R2 = 0.76). Thus, physiological parameters can be used to explain the variations in upland rice yield under water stress.
Palavras-Chave: | Multiple linear regression.
Thesagro: | Água; Arroz; Oryza Sativa; Regressão Linear; Seca; Stress.
Thesaurus Nal: | Drought; Regression analysis; Rice.
Categoria do assunto: | F Plantas e Produtos de Origem Vegetal
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160927/1/irriga-2023.pdf
Registro original: | Embrapa Arroz e Feijão (CNPAF)
Exemplares: | CNPAF - (36862-1) - UPC - AP - DD - 2023 -  - 2023 - DIS