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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
03/03/2023 |
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Data da última atualização: |
24/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
BARROS, M. S.; MELO, P. G. S.; FARIA, L. C. de; PEREIRA, H. S.; SOUZA, T. L. P. O. de; AGUIAR, M. S. de; MELO, L. C. |
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Afiliação: |
MATHEUS S. BARROS, UNIVERSIDADE FEDERAL DE GOIÁS; PATRICIA G. S. MELO, UNIVERSIDADE FEDERAL DE GOIÁS; LUIS CLAUDIO DE FARIA, CNPAF; HELTON SANTOS PEREIRA, CNPAF; THIAGO LIVIO PESSOA OLIV DE SOUZA, CNPAF; MARCELO SFEIR DE AGUIAR, CNPAF; LEONARDO CUNHA MELO, CNPAF. |
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Título: |
Validation of the regulations for common bean (Phaseolus vulgaris L.) cultivar recommendations by computational simulation with experimental data. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Euphytica, v. 219, n. 3, article 36, Mar. 2023. |
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ISSN: |
1573-5060 |
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DOI: |
https://doi.org/10.1007/s10681-023-03165-6 |
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Idioma: |
Inglês |
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Conteúdo: |
The value of cultivation and use (VCU) tests are required for registration of new cultivars. The rules for conducting VCU tests were very restrictive as they require many tests to register the new cultivar of common bean (Phaseolus vulgaris). The standard rule has been relaxed since 2010 and was considers the regionalization of Brazil in edaphoclimatic regions (ECR). Thus, ten environments are currently accepted for regions I (South) and II (Central), and six environments for Region III (Northeast). Of which three environments are required per sowing season for the season in which the cultivar is to be indicated. The aim was to validate the number of environments for cultivar recommendation by computational simulation in three edaphoclimatic regions (ECR) in Brazil using field data from a 17-year period. The algorithm was created to simulate scenarios with different numbers of environments randomly sampled and to compares the genotype classified in the simulated scenarios to the ones classified in the complete multi-trial analysis. Components of variance, selective accuracy (SA), and relative grain yield were estimated for each simulated scenario. We find a high percentage of matches between the best-classified genotypes in the simulated scenarios with fewer environments when we compare to the complete analysis. The percentage of matches rises as the number of environments increases. However, after 90% of SA is achieved the increase of the environments doesn?t necessary. Thus, eight environments for ECR1 and ECR2 and six for ECR3 are in the mean point of the increase rate and are above 90% of SA. This sample size is adequate for common bean cultivar recommendations. Thus, it is concluded that the number of environments currently accepted for registration of new cultivars is capable of indicating the superior genotypes. MenosThe value of cultivation and use (VCU) tests are required for registration of new cultivars. The rules for conducting VCU tests were very restrictive as they require many tests to register the new cultivar of common bean (Phaseolus vulgaris). The standard rule has been relaxed since 2010 and was considers the regionalization of Brazil in edaphoclimatic regions (ECR). Thus, ten environments are currently accepted for regions I (South) and II (Central), and six environments for Region III (Northeast). Of which three environments are required per sowing season for the season in which the cultivar is to be indicated. The aim was to validate the number of environments for cultivar recommendation by computational simulation in three edaphoclimatic regions (ECR) in Brazil using field data from a 17-year period. The algorithm was created to simulate scenarios with different numbers of environments randomly sampled and to compares the genotype classified in the simulated scenarios to the ones classified in the complete multi-trial analysis. Components of variance, selective accuracy (SA), and relative grain yield were estimated for each simulated scenario. We find a high percentage of matches between the best-classified genotypes in the simulated scenarios with fewer environments when we compare to the complete analysis. The percentage of matches rises as the number of environments increases. However, after 90% of SA is achieved the increase of the environments doesn?t necessary. Thu... Mostrar Tudo |
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Palavras-Chave: |
Cultivars line; Selective accuracy; Value for cultivation and use. |
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Thesagro: |
Feijão; Genótipo; Interação Genética; Phaseolus Vulgaris; Variedade. |
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Thesaurus NAL: |
Beans; Cultivars; Genotype-environment interaction; Plant breeding. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
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100 1 $aBARROS, M. S.
245 $aValidation of the regulations for common bean (Phaseolus vulgaris L.) cultivar recommendations by computational simulation with experimental data.$h[electronic resource]
260 $c2023
520 $aThe value of cultivation and use (VCU) tests are required for registration of new cultivars. The rules for conducting VCU tests were very restrictive as they require many tests to register the new cultivar of common bean (Phaseolus vulgaris). The standard rule has been relaxed since 2010 and was considers the regionalization of Brazil in edaphoclimatic regions (ECR). Thus, ten environments are currently accepted for regions I (South) and II (Central), and six environments for Region III (Northeast). Of which three environments are required per sowing season for the season in which the cultivar is to be indicated. The aim was to validate the number of environments for cultivar recommendation by computational simulation in three edaphoclimatic regions (ECR) in Brazil using field data from a 17-year period. The algorithm was created to simulate scenarios with different numbers of environments randomly sampled and to compares the genotype classified in the simulated scenarios to the ones classified in the complete multi-trial analysis. Components of variance, selective accuracy (SA), and relative grain yield were estimated for each simulated scenario. We find a high percentage of matches between the best-classified genotypes in the simulated scenarios with fewer environments when we compare to the complete analysis. The percentage of matches rises as the number of environments increases. However, after 90% of SA is achieved the increase of the environments doesn?t necessary. Thus, eight environments for ECR1 and ECR2 and six for ECR3 are in the mean point of the increase rate and are above 90% of SA. This sample size is adequate for common bean cultivar recommendations. Thus, it is concluded that the number of environments currently accepted for registration of new cultivars is capable of indicating the superior genotypes.
650 $aBeans
650 $aCultivars
650 $aGenotype-environment interaction
650 $aPlant breeding
650 $aFeijão
650 $aGenótipo
650 $aInteração Genética
650 $aPhaseolus Vulgaris
650 $aVariedade
653 $aCultivars line
653 $aSelective accuracy
653 $aValue for cultivation and use
700 1 $aMELO, P. G. S.
700 1 $aFARIA, L. C. de
700 1 $aPEREIRA, H. S.
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700 1 $aAGUIAR, M. S. de
700 1 $aMELO, L. C.
773 $tEuphytica$gv. 219, n. 3, article 36, Mar. 2023.
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