Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121633
Title: Grain yield, anthesis-silking interval and drought tolerance indices of tropical maize hybrids.
Authors: SANTOS, A. de O.
VON PINHO, R. G.
SOUZA, V. F. de
GUIMARAES, L. J. M.
BALESTRE, M.
PIRES, L. P. M.
SILVA, C. P. da
Affiliation: Álvaro de Oliveira Santos, Universidade Federal de Lavras; Renzo Garcia Von Pinho, Universidade Federal de Lavras; Vander Fillipe de Souza, Universidade Federal de Lavras; LAURO JOSE MOREIRA GUIMARAES, CNPMS; Márcio Balestre, Universidade Federal de Lavras; Luiz Paulo Miranda Pires, Universidade Federal de Lavras; Carlos Pereira da Silva, Universidade Federal de Lavras.
Date Issued: 2020
Citation: Crop Breeding and Applied Biotechnology, v. 20, n. 1, e176020110, 2020.
Description: Water deficit stress is the abiotic factor with the highest impact on crop yield. The objective of this study was to evaluate grain yield (GY), the anthesis-silking interval (ASI) and drought tolerance indices in maize hybrids. We evaluated GY and the ASI of 86 hybrids under two moisture levels (normal irrigation and water stress) for three consecutive years. The stress susceptibility index, water stress tolerance, drought resistance coefficient, drought resistance index, stress tolerance index and harmonic mean were evaluated. There were significant hybrid x environment interactions for GY and the ASI. Differences in the ASI among environments ranged from 0 to 5 days. The hybrids P3862, 1I873, 1I923, 1I862 and 1J1211 showed high GY, associated with the highest drought tolerance indices. The stress tolerance index and harmonic mean indices can be used to identify higher-yielding maize hybrids in environments with and without water restriction
Thesagro: Milho
Deficiência Hídrica
Grão
Rendimento
Keywords: Tolerância ao estresse
Estresse hídrico
Déficit hídrico
DOI: 10.1590/1984- 70332020v20n1a10
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (CNPMS)

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