carbon isotope fractionation for cotton genotype selection

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ID: 255920
2014
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Ranked #95 of 193 articles by views in proc - the fourth ieee workshop on software technol for future embedded and ubiquitous syst, seus 2006 andthe second int workshop on collaborative comput, integr, and assur, wccia 2006

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Abstract
The objective of this work was to evaluate the carbon isotope fractionation as a phenomic facility for cotton selection in contrasting environments and to assess its relationship with yield components. The experiments were carried out in a randomized block design, with four replicates, in the municipalities of Santa Helena de Goiás (SHGO) and Montividiu (MONT), in the state of Goiás, Brazil. The analysis of carbon isotope discrimination (Δ) was performed in 15 breeding lines and three cultivars. Subsequently, the root growth kinetic and root system architecture from the selected genotypes were determined. In both locations, Δ analyses were suitable to discriminate cotton genotypes. There was a positive correlation between Δ and seed-cotton yield in SHGO, where water deficit was more severe. In this site, the negative correlations found between Δ and fiber percentage indicate an integrative effect of gas exchange on Δ and its association with yield components. As for root robustness and growth kinetic, the GO 05 809 genotype performance contributes to sustain the highest values of Δ found in MONT, where edaphoclimatic conditions were more suitable for cotton. The use of Δ analysis as a phenomic facility can help to select cotton genotypes, in order to obtain plants with higher efficiency for gas exchange and water use.
Reference Key
brito2014pesquisacarbon Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Giovani Greigh de Brito;Nelson Dias Suassuna;Valdir Diola;Valdinei Sofiatti;Carlos Ducatti;Evandro Tadeu da Silva;Camilo de Lelis Morello
Journal proc - the fourth ieee workshop on software technol for future embedded and ubiquitous syst, seus 2006 andthe second int workshop on collaborative comput, integr, and assur, wccia 2006
Year 2014
DOI
10.1590/S0100-204X2014000900003
URL
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000900673&lng=en&tlng=en
Keywords
Agriculture (General) melhoramento genético

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