Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/32643
metadata.artigo.dc.title: Estimates of genetics and phenotypics parameters for the yield and quality of soybean seeds
metadata.artigo.dc.creator: Zambiazzi, E. V.
Bruzi, A. T.
Guilherme, S. R.
Pereira, D. R.
Lima, J. G.
Zuffo, A. M.
Ribeiro, F. O.
Mendes, A. E. S.
Godinho, S. H. M.
Carvalho, M. L. M.
metadata.artigo.dc.subject: Glycine max
Seed production
Genotype selection
Soybean - Seeds quality
Produção de sementes
Seleção de genótipos
Soja - qualidade de sementes
metadata.artigo.dc.publisher: Fundação Norte-Rio-Grandense de Pesquisa e Cultura
metadata.artigo.dc.date.issued: Sep-2017
metadata.artigo.dc.identifier.citation: ZAMBIAZZI, E. V. et al. Estimates of genetics and phenotypics parameters for the yield and quality of soybean seeds. Genetics and Molecular Research, [S. l.], v. 16, n. 3, p. 1-12, Sept. 2017. doi: 10.4238/gmr16039801.
metadata.artigo.dc.description.abstract: Estimating genotype x environment (GxE) parameters for quality and yield in soybean seed grown in different environments in Minas Gerais State was the goal of this study, as well as to evaluate interaction effects of GxE for soybean seeds yield and quality. Seeds were produced in three locations in Minas Gerais State (Lavras, Inconfidentes, and Patos de Minas) in 2013/14 and 2014/15 seasons. Field experiments were conducted in randomized blocks in a factorial 17 x 6 (GxE), and three replications. Seed yield and quality were evaluated for germination in substrates paper and sand, seedling emergence, speed emergency index, mechanical damage by sodium hypochlorite, electrical conductivity, speed aging, vigor and viability of seeds by tetrazolium test in laboratory using completely randomized design. Quadratic component genotypic, GXE variance component, genotype determination coefficient, genetic variation coefficient and environmental variation coefficient were estimated using the Genes software. Percentage analysis of genotypes contribution, environments and genotype x environment interaction were conducted by sites combination two by two and three sites combination, using the R software. Considering genotypes selection of broad adaptation, TMG 1179 RR, CD 2737 RR, and CD 237 RR associated better yield performance at high physical and physiological potential of seed. Environmental effect was more expressive for most of the characters related to soybean seed quality. GxE interaction effects were expressive though genotypes did not present coincidental behavior in different environments.
metadata.artigo.dc.identifier.uri: http://www.funpecrp.com.br/gmr/year2017/vol16-3/pdf/gmr-16-03-gmr.16039801.pdf
http://repositorio.ufla.br/jspui/handle/1/32643
metadata.artigo.dc.language: en_US
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