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Title: | Leaf-level carbon isotope discrimination and its relationship with yield components as a tool for cotton phenotyping in unfavorable conditions. |
Authors: | BRITO, G. G. de![]() ![]() SUASSUNA, N. D. ![]() ![]() SILVA, V. N. ![]() ![]() SOFIATTI, V. ![]() ![]() DIOLA, V. ![]() ![]() MORELLO, C. de L. ![]() ![]() |
Affiliation: | GIOVANI GREIGH DE BRITO, CPACT; NELSON DIAS SUASSUNA, CNPA; Vivianny Nayse Silva; VALDINEI SOFIATTI, CNPA; Valdir Diola; CAMILO DE LELIS MORELLO, CNPA. |
Date Issued: | 2014 |
Citation: | Acta Scientiarum, v. 36, n. 3, p. 335-345, jul./set. 2014. |
Description: | 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. |
Keywords: | Troca gasosa Fracionamento do carbono Estresse abiótico |
ISSN: | 1807-8621 |
DOI: | 10.4025/actasciagron.v36i3.17986 |
Type of Material: | Artigo de periódico |
Access: | openAccess |
Appears in Collections: | Artigo em periódico indexado (CPACT)![]() ![]() |
Files in This Item:
File | Description | Size | Format | |
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179861032711PB.pdf | 1,52 MB | Adobe PDF | ![]() View/Open |