Multivariate diallel analysis by factor analysis for establish mega-traits

Abstract In plant breeding, the dialelic models univariate have aided the selection of parents for hybridization. Multivariate analyses allow combining and associating the multiple pieces of information of the genetic relationships between traits. Therefore, multivariate analyses might refine the discrimination and selection of the parents with greater potential to meet the goals of a plant breeding program. Here, we propose a method of multivariate analysis used for stablishing mega-traits (MTs) in diallel trials. The proposed model is applied in the evaluation of a multi-environment complete diallel trial with 90 F1’s of simple maize hybrids. From a set of 14 traits, we demonstrated how establishing and interpreting MTs with agronomic implication. The diallel analyzes based on mega-traits present an important evolution in statistical procedures since the selection is based on several traits. We believe that the proposed method fills an important gap of plant breeding. In our example, three MTs were established. The first, formed by plant stature-related traits, the second by tassel size-related traits, and the third by grain yield-related traits. Individual and joint diallel analysis using the established MTs allowed identifying the best hybrid combinations for achieving F1’s with lower plant stature, tassel size, and higher grain yield.

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Main Authors: NARDINO,MAICON, BARROS,WILLIAN S., OLIVOTO,TIAGO, CRUZ,COSME DAMIÃO, SILVA,FABYANO F. E, PELEGRIN,ALAN J. DE, SOUZA,VELCI Q. DE, CARVALHO,IVAN R., SZARESKI,VINICIUS J., OLIVEIRA,ANTONIO C. DE, MAIA,LUCIANO C. DA, KONFLANZ,VALMOR A.
Format: Digital revista
Language:English
Published: Academia Brasileira de Ciências 2020
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201013
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spelling oai:scielo:S0001-376520200002010132020-05-28Multivariate diallel analysis by factor analysis for establish mega-traitsNARDINO,MAICONBARROS,WILLIAN S.OLIVOTO,TIAGOCRUZ,COSME DAMIÃOSILVA,FABYANO F. EPELEGRIN,ALAN J. DESOUZA,VELCI Q. DECARVALHO,IVAN R.SZARESKI,VINICIUS J.OLIVEIRA,ANTONIO C. DEMAIA,LUCIANO C. DAKONFLANZ,VALMOR A. Zea mays L. multivariate analysis selection multivariate multi-enviroments Abstract In plant breeding, the dialelic models univariate have aided the selection of parents for hybridization. Multivariate analyses allow combining and associating the multiple pieces of information of the genetic relationships between traits. Therefore, multivariate analyses might refine the discrimination and selection of the parents with greater potential to meet the goals of a plant breeding program. Here, we propose a method of multivariate analysis used for stablishing mega-traits (MTs) in diallel trials. The proposed model is applied in the evaluation of a multi-environment complete diallel trial with 90 F1’s of simple maize hybrids. From a set of 14 traits, we demonstrated how establishing and interpreting MTs with agronomic implication. The diallel analyzes based on mega-traits present an important evolution in statistical procedures since the selection is based on several traits. We believe that the proposed method fills an important gap of plant breeding. In our example, three MTs were established. The first, formed by plant stature-related traits, the second by tassel size-related traits, and the third by grain yield-related traits. Individual and joint diallel analysis using the established MTs allowed identifying the best hybrid combinations for achieving F1’s with lower plant stature, tassel size, and higher grain yield.info:eu-repo/semantics/openAccessAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências v.92 suppl.1 20202020-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201013en10.1590/0001-3765202020180874
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language English
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author NARDINO,MAICON
BARROS,WILLIAN S.
OLIVOTO,TIAGO
CRUZ,COSME DAMIÃO
SILVA,FABYANO F. E
PELEGRIN,ALAN J. DE
SOUZA,VELCI Q. DE
CARVALHO,IVAN R.
SZARESKI,VINICIUS J.
OLIVEIRA,ANTONIO C. DE
MAIA,LUCIANO C. DA
KONFLANZ,VALMOR A.
spellingShingle NARDINO,MAICON
BARROS,WILLIAN S.
OLIVOTO,TIAGO
CRUZ,COSME DAMIÃO
SILVA,FABYANO F. E
PELEGRIN,ALAN J. DE
SOUZA,VELCI Q. DE
CARVALHO,IVAN R.
SZARESKI,VINICIUS J.
OLIVEIRA,ANTONIO C. DE
MAIA,LUCIANO C. DA
KONFLANZ,VALMOR A.
Multivariate diallel analysis by factor analysis for establish mega-traits
author_facet NARDINO,MAICON
BARROS,WILLIAN S.
OLIVOTO,TIAGO
CRUZ,COSME DAMIÃO
SILVA,FABYANO F. E
PELEGRIN,ALAN J. DE
SOUZA,VELCI Q. DE
CARVALHO,IVAN R.
SZARESKI,VINICIUS J.
OLIVEIRA,ANTONIO C. DE
MAIA,LUCIANO C. DA
KONFLANZ,VALMOR A.
author_sort NARDINO,MAICON
title Multivariate diallel analysis by factor analysis for establish mega-traits
title_short Multivariate diallel analysis by factor analysis for establish mega-traits
title_full Multivariate diallel analysis by factor analysis for establish mega-traits
title_fullStr Multivariate diallel analysis by factor analysis for establish mega-traits
title_full_unstemmed Multivariate diallel analysis by factor analysis for establish mega-traits
title_sort multivariate diallel analysis by factor analysis for establish mega-traits
description Abstract In plant breeding, the dialelic models univariate have aided the selection of parents for hybridization. Multivariate analyses allow combining and associating the multiple pieces of information of the genetic relationships between traits. Therefore, multivariate analyses might refine the discrimination and selection of the parents with greater potential to meet the goals of a plant breeding program. Here, we propose a method of multivariate analysis used for stablishing mega-traits (MTs) in diallel trials. The proposed model is applied in the evaluation of a multi-environment complete diallel trial with 90 F1’s of simple maize hybrids. From a set of 14 traits, we demonstrated how establishing and interpreting MTs with agronomic implication. The diallel analyzes based on mega-traits present an important evolution in statistical procedures since the selection is based on several traits. We believe that the proposed method fills an important gap of plant breeding. In our example, three MTs were established. The first, formed by plant stature-related traits, the second by tassel size-related traits, and the third by grain yield-related traits. Individual and joint diallel analysis using the established MTs allowed identifying the best hybrid combinations for achieving F1’s with lower plant stature, tassel size, and higher grain yield.
publisher Academia Brasileira de Ciências
publishDate 2020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201013
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