Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista ciência agronômica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000200197 |
Resumo: | ABSTRACT The objective of this study was to evaluate four selection indexes and best linear unbiased prediction (BLUP) for predicting genetic gain in maize hybrids used for silage. The genetic gain was compared between four selection indexes and BLUP. Nineteen topcross hybrids and five controls were evaluated using a completely randomized block design with four replicates in two areas located in Campos dos Goytacazes and Itaocara, Rio de Janeiro, Brazil, in the growing season 2013-2014. Plant height, first ear height, average stem diameter, grain yield at the silage stage, and green mass yield were evaluated. The genetic gain was predicted using the selection indexes proposed by Pesek and Baker, Smith and Hazel, Mulamba and Mock, Willians, and BLUP. The index of Mulamba and Mock provided higher gain estimates for selecting hybrids. BLUP was efficient and selected hybrids with higher performance than hybrids obtained using the four selection indexes. Hybrids UENF-2205, UENF-2208, UENF-2209, and UENF-2210 presented better performance, indicating the high potential of these dent hybrids for silage production in the north and northwest regions of Rio de Janeiro. |
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Revista ciência agronômica (Online) |
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Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased predictionTopcrossesTesterHybridsYieldABSTRACT The objective of this study was to evaluate four selection indexes and best linear unbiased prediction (BLUP) for predicting genetic gain in maize hybrids used for silage. The genetic gain was compared between four selection indexes and BLUP. Nineteen topcross hybrids and five controls were evaluated using a completely randomized block design with four replicates in two areas located in Campos dos Goytacazes and Itaocara, Rio de Janeiro, Brazil, in the growing season 2013-2014. Plant height, first ear height, average stem diameter, grain yield at the silage stage, and green mass yield were evaluated. The genetic gain was predicted using the selection indexes proposed by Pesek and Baker, Smith and Hazel, Mulamba and Mock, Willians, and BLUP. The index of Mulamba and Mock provided higher gain estimates for selecting hybrids. BLUP was efficient and selected hybrids with higher performance than hybrids obtained using the four selection indexes. Hybrids UENF-2205, UENF-2208, UENF-2209, and UENF-2210 presented better performance, indicating the high potential of these dent hybrids for silage production in the north and northwest regions of Rio de Janeiro.Universidade Federal do Ceará2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000200197Revista Ciência Agronômica v.50 n.2 2019reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20190023info:eu-repo/semantics/openAccessCrevelari,Jocarla AmbrosimPereira,Messias GonzagaAzevedo,Flávio Henrique VidalVieira,Ricardo Augusto Mendonçaeng2019-01-23T00:00:00Zoai:scielo:S1806-66902019000200197Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2019-01-23T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction |
title |
Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction |
spellingShingle |
Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction Crevelari,Jocarla Ambrosim Topcrosses Tester Hybrids Yield |
title_short |
Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction |
title_full |
Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction |
title_fullStr |
Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction |
title_full_unstemmed |
Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction |
title_sort |
Genetic improvement of silage maize: predicting genetic gain using selection indexes and best linear unbiased prediction |
author |
Crevelari,Jocarla Ambrosim |
author_facet |
Crevelari,Jocarla Ambrosim Pereira,Messias Gonzaga Azevedo,Flávio Henrique Vidal Vieira,Ricardo Augusto Mendonça |
author_role |
author |
author2 |
Pereira,Messias Gonzaga Azevedo,Flávio Henrique Vidal Vieira,Ricardo Augusto Mendonça |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Crevelari,Jocarla Ambrosim Pereira,Messias Gonzaga Azevedo,Flávio Henrique Vidal Vieira,Ricardo Augusto Mendonça |
dc.subject.por.fl_str_mv |
Topcrosses Tester Hybrids Yield |
topic |
Topcrosses Tester Hybrids Yield |
description |
ABSTRACT The objective of this study was to evaluate four selection indexes and best linear unbiased prediction (BLUP) for predicting genetic gain in maize hybrids used for silage. The genetic gain was compared between four selection indexes and BLUP. Nineteen topcross hybrids and five controls were evaluated using a completely randomized block design with four replicates in two areas located in Campos dos Goytacazes and Itaocara, Rio de Janeiro, Brazil, in the growing season 2013-2014. Plant height, first ear height, average stem diameter, grain yield at the silage stage, and green mass yield were evaluated. The genetic gain was predicted using the selection indexes proposed by Pesek and Baker, Smith and Hazel, Mulamba and Mock, Willians, and BLUP. The index of Mulamba and Mock provided higher gain estimates for selecting hybrids. BLUP was efficient and selected hybrids with higher performance than hybrids obtained using the four selection indexes. Hybrids UENF-2205, UENF-2208, UENF-2209, and UENF-2210 presented better performance, indicating the high potential of these dent hybrids for silage production in the north and northwest regions of Rio de Janeiro. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000200197 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000200197 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1806-6690.20190023 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal do Ceará |
publisher.none.fl_str_mv |
Universidade Federal do Ceará |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica v.50 n.2 2019 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1750297489408262144 |