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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/127476
Title: 
Genetic divergence among maize hybrids by morphological descriptors
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade Federal de Santa Maria
ISSN: 
0006-8705
Abstract: 
Two experiments with 25 maize commercial hybrids were carried out in a direct sowing system in Southern Brazil in the harvests of 2009/2010 and 2010/2011. Quantitative descriptors were used with the objective of determining the genetic divergence and the relative contributions of traits among hybrids for extraction of inbred lines. This study was carried out in Oxisol soil using a randomized block design with four replicates. Data were subjected to combined analysis of variance, and based on the multivariate analyses, Tocher and average linkage (UPGMA) cluster analyses, based on generalized distance of Mahalanobis, to quantify divergence in addition to Singh criterion to validate trait with the most contribution. The multivariate methods were consistent with each other, and the weight of 100 grains was the trait that contributed most to the divergence and had similar behavior in grain yield between hybrids in both years. Furthermore, this descriptor representing significant genetic variability for crossings and lines extraction to hybridization between BM 3061, ATL 200 and P 30B39 Y.
Issue Date: 
1-Jun-2015
Citation: 
Bragantia, v. 74, n. 2, p. 156-160, 2015.
Time Duration: 
156-160
Publisher: 
Instituto Agronômico de Campinas
Keywords: 
  • Divergence quantitative descriptors
  • Multivariate analyses
  • Zea mays
Source: 
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052015000200156&lng=en&nrm=iso&tlng=en
URI: 
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/127476
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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