<b>Physiological traits for drought phenotyping in cotton</b> - doi: 10.4025/actasciagron.v33i1.9839

  • Giovani Greigh de Brito Embrapa Algodão
  • Valdinei Sofiatti Embrapa Algodão
  • Marleide Magalhães de Andrade Lima Embrapa Algodão
  • Luiz Paulo de Carvalho Embrapa Algodão
  • João Luiz da Silva Filho Embrapa Algodão
Palavras-chave: abiotic stress, Gossypium, water deficit

Resumo

The objective of this study was to identify physiological traits that could distinguish between cotton genotypes that were tolerant or sensitive to water deficits. The experiment was conducted in a completely randomized design through a factorial combination to analyze four genotypes (BRS 187 8H and ACALA SJ-4 - water deficit tolerant; CNPA 7H and SU-0450/8909 - water deficit sensitive) and two water regimes (watered/always irrigated and stressed/with a water deficit imposed at flowering). Irrigation was suspended for the plants in the water deficit treatment groups when their first flowers appeared. Leaf water potential (ψpd) was monitored until the plants reached -3.0 MPa predawn, at which point leaf samples were collected for analysis. The plants were re-irrigated and monitored for a recovery to 50% of leaf water potential. The maximum photochemical efficiency (Fv/Fm), chlorophyll content (SPAD index), relative water content (RWC), disruption of the cell membrane via membrane leakage, carbon isotope composition (δ13C), seed cotton yield and fiber quality were evaluated. The trends in membrane leakage and carbon isotope composition were different between the tolerant and sensitive genotypes under a water deficit, which makes these physiological traits suitable for screening for tolerance to water deficits in cotton.

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Publicado
2011-02-16
Como Citar
Brito, G. G. de, Sofiatti, V., Lima, M. M. de A., Carvalho, L. P. de, & Silva Filho, J. L. da. (2011). <b>Physiological traits for drought phenotyping in cotton</b&gt; - doi: 10.4025/actasciagron.v33i1.9839. Acta Scientiarum. Agronomy, 33(1), 117-125. https://doi.org/10.4025/actasciagron.v33i1.9839
Seção
Produção Vegetal

 

2.0
2019CiteScore
 
 
60th percentile
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2.0
2019CiteScore
 
 
60th percentile
Powered by  Scopus