Combining ability and potential of s1 popcorn progenies for early selection
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/55194 |
Resumo: | Evaluation of combined ability can eliminate lines that are inefficient and enable the subsequent program steps to be more successful. The objective of this study was to predict the general (gi) and specific (sij) combination ability of popcorn S1 progenies for early selection. A total of 288 topcrosses were performed under a randomized complete block design with two replicates at two sites (Campinas and Capão Bonito, São Paulo State, Brazil). Diallel analyses were performed using mixed models and the maximum likelihood restricted/best unbiased linear prediction method. Evaluated traits included grain yield (GY; kg ha-1), weight of 100 grains (g), and popping expansion (PE; mL g-1). Ear components were also evaluated, including ear length, ear diameter (cm), and the number of grain rows (unit). The S1 progeny 32 presented the highest gi for GY in Campinas, whereas progeny 46 presented the highest gi for GY in Capão Bonito. The S1 progeny, 114 was an important parent for the popcorn breeding program, because it presented high gi for the traits of agronomic interest at both sites. Combination 86×IAC12 exhibited a high sij, and the 86 parent presented the second-highest gi for PE in Campinas, and it should be used for high PE genotypes |
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Acta Scientiarum. Agronomy (Online) |
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Combining ability and potential of s1 popcorn progenies for early selectionCombining ability and potential of s1 popcorn progenies for early selectiondiallel; Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP); hybrid combination.diallel; Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP); hybrid combination.Evaluation of combined ability can eliminate lines that are inefficient and enable the subsequent program steps to be more successful. The objective of this study was to predict the general (gi) and specific (sij) combination ability of popcorn S1 progenies for early selection. A total of 288 topcrosses were performed under a randomized complete block design with two replicates at two sites (Campinas and Capão Bonito, São Paulo State, Brazil). Diallel analyses were performed using mixed models and the maximum likelihood restricted/best unbiased linear prediction method. Evaluated traits included grain yield (GY; kg ha-1), weight of 100 grains (g), and popping expansion (PE; mL g-1). Ear components were also evaluated, including ear length, ear diameter (cm), and the number of grain rows (unit). The S1 progeny 32 presented the highest gi for GY in Campinas, whereas progeny 46 presented the highest gi for GY in Capão Bonito. The S1 progeny, 114 was an important parent for the popcorn breeding program, because it presented high gi for the traits of agronomic interest at both sites. Combination 86×IAC12 exhibited a high sij, and the 86 parent presented the second-highest gi for PE in Campinas, and it should be used for high PE genotypesEvaluation of combined ability can eliminate lines that are inefficient and enable the subsequent program steps to be more successful. The objective of this study was to predict the general (gi) and specific (sij) combination ability of popcorn S1 progenies for early selection. A total of 288 topcrosses were performed under a randomized complete block design with two replicates at two sites (Campinas and Capão Bonito, São Paulo State, Brazil). Diallel analyses were performed using mixed models and the maximum likelihood restricted/best unbiased linear prediction method. Evaluated traits included grain yield (GY; kg ha-1), weight of 100 grains (g), and popping expansion (PE; mL g-1). Ear components were also evaluated, including ear length, ear diameter (cm), and the number of grain rows (unit). The S1 progeny 32 presented the highest gi for GY in Campinas, whereas progeny 46 presented the highest gi for GY in Capão Bonito. The S1 progeny, 114 was an important parent for the popcorn breeding program, because it presented high gi for the traits of agronomic interest at both sites. Combination 86×IAC12 exhibited a high sij, and the 86 parent presented the second-highest gi for PE in Campinas, and it should be used for high PE genotypesUniversidade Estadual de Maringá2022-05-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5519410.4025/actasciagron.v44i1.55194Acta Scientiarum. Agronomy; Vol 44 (2022): Publicação contínua; e55194Acta Scientiarum. Agronomy; v. 44 (2022): Publicação contínua; e551941807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/55194/751375154253Copyright (c) 2022 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOliveira, André Luís Bombonato de Rodrigues, Cinthia Souza Silva, Guilherme Augusto Peres daSawazaki, EduardoBarros, Vera Lúcia Nishijima Paes de Paterniani, Maria Elisa Ayres Guidetti Zagatto 2022-06-22T14:15:20Zoai:periodicos.uem.br/ojs:article/55194Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-06-22T14:15:20Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Combining ability and potential of s1 popcorn progenies for early selection Combining ability and potential of s1 popcorn progenies for early selection |
title |
Combining ability and potential of s1 popcorn progenies for early selection |
spellingShingle |
Combining ability and potential of s1 popcorn progenies for early selection Oliveira, André Luís Bombonato de diallel; Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP); hybrid combination. diallel; Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP); hybrid combination. |
title_short |
Combining ability and potential of s1 popcorn progenies for early selection |
title_full |
Combining ability and potential of s1 popcorn progenies for early selection |
title_fullStr |
Combining ability and potential of s1 popcorn progenies for early selection |
title_full_unstemmed |
Combining ability and potential of s1 popcorn progenies for early selection |
title_sort |
Combining ability and potential of s1 popcorn progenies for early selection |
author |
Oliveira, André Luís Bombonato de |
author_facet |
Oliveira, André Luís Bombonato de Rodrigues, Cinthia Souza Silva, Guilherme Augusto Peres da Sawazaki, Eduardo Barros, Vera Lúcia Nishijima Paes de Paterniani, Maria Elisa Ayres Guidetti Zagatto |
author_role |
author |
author2 |
Rodrigues, Cinthia Souza Silva, Guilherme Augusto Peres da Sawazaki, Eduardo Barros, Vera Lúcia Nishijima Paes de Paterniani, Maria Elisa Ayres Guidetti Zagatto |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Oliveira, André Luís Bombonato de Rodrigues, Cinthia Souza Silva, Guilherme Augusto Peres da Sawazaki, Eduardo Barros, Vera Lúcia Nishijima Paes de Paterniani, Maria Elisa Ayres Guidetti Zagatto |
dc.subject.por.fl_str_mv |
diallel; Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP); hybrid combination. diallel; Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP); hybrid combination. |
topic |
diallel; Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP); hybrid combination. diallel; Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP); hybrid combination. |
description |
Evaluation of combined ability can eliminate lines that are inefficient and enable the subsequent program steps to be more successful. The objective of this study was to predict the general (gi) and specific (sij) combination ability of popcorn S1 progenies for early selection. A total of 288 topcrosses were performed under a randomized complete block design with two replicates at two sites (Campinas and Capão Bonito, São Paulo State, Brazil). Diallel analyses were performed using mixed models and the maximum likelihood restricted/best unbiased linear prediction method. Evaluated traits included grain yield (GY; kg ha-1), weight of 100 grains (g), and popping expansion (PE; mL g-1). Ear components were also evaluated, including ear length, ear diameter (cm), and the number of grain rows (unit). The S1 progeny 32 presented the highest gi for GY in Campinas, whereas progeny 46 presented the highest gi for GY in Capão Bonito. The S1 progeny, 114 was an important parent for the popcorn breeding program, because it presented high gi for the traits of agronomic interest at both sites. Combination 86×IAC12 exhibited a high sij, and the 86 parent presented the second-highest gi for PE in Campinas, and it should be used for high PE genotypes |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-24 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/55194 10.4025/actasciagron.v44i1.55194 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/55194 |
identifier_str_mv |
10.4025/actasciagron.v44i1.55194 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/55194/751375154253 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 44 (2022): Publicação contínua; e55194 Acta Scientiarum. Agronomy; v. 44 (2022): Publicação contínua; e55194 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
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1799305911894802432 |