Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1013273
Unidade da Embrapa/Coleção:: Embrapa Clima Temperado - Artigo em periódico indexado (ALICE)
Data do documento: 10-Abr-2015
Tipo do Material: Artigo em periódico indexado (ALICE)
Autoria: BRITO, G. G. de
SUASSUNA, N. D.
SILVA, V. N.
SOFIATTI, V.
DIOLA, V.
MORELLO, C. de L.
Informaçães Adicionais: GIOVANI GREIGH DE BRITO, CPACT; NELSON DIAS SUASSUNA, CNPA; Vivianny Nayse Silva; VALDINEI SOFIATTI, CNPA; Valdir Diola; CAMILO DE LELIS MORELLO, CNPA.
Título: Leaf-level carbon isotope discrimination and its relationship with yield components as a tool for cotton phenotyping in unfavorable conditions.
Edição: 2014
Fonte/Imprenta: Acta Scientiarum, v. 36, n. 3, p. 335-345, jul./set. 2014.
Idioma: en
Palavras-chave: Troca gasosa
Fracionamento do carbono
Estresse abiótico
Conteúdo: The initial goal of this study was to measure the efficiency of carbon isotope discrimination (?) in distinguishing between cotton plant genotypes subjected to two water regimes. In addition, ? measurements, leaf water potential and gas exchange ratios were monitored. Using Brazilian breeding lines, this study also tested the usability of ? as a proxy for selecting high-performing yield components in cotton plants grown in unfavorable conditions, particularly water deficiency. For these experiments, ? and yield components were measured and their correlations analyzed. Differences among cotton genotypes for ? (p < 0.0001) were verified, and it was found that this variable was significantly correlated with gas exchange. There was a significant positive correlation between ? and seed cotton yield only in the site experiencing severe water deficiency (Santa Helena de Goiás). However, ? had a significant negative correlation with fiber percentage. Our results indicate that ? is a suitable tool for cotton phenotyping, and it may be applied in cotton breeding programs that aim to produce high-performing yield components in unfavorable conditions.
Ano de Publicação: 2014
ISSN: 1807-8621
Aparece nas coleções:Artigo em periódico indexado (CPACT)

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