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Registro Completo |
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
03/03/2023 |
Data da última atualização: |
24/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Validation of the regulations for common bean (Phaseolus vulgaris L.) cultivar recommendations by computational simulation with experimental data. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Euphytica, v. 219, n. 3, article 36, Mar. 2023. |
ISSN: |
1573-5060 |
DOI: |
https://doi.org/10.1007/s10681-023-03165-6 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Cultivars line; Selective accuracy; Value for cultivation and use. |
Thesagro: |
Feijão; Genótipo; Interação Genética; Phaseolus Vulgaris; Variedade. |
Thesaurus Nal: |
Beans; Cultivars; Genotype-environment interaction; Plant breeding. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02962naa a2200361 a 4500 001 2152072 005 2023-03-24 008 2023 bl uuuu u00u1 u #d 022 $a1573-5060 024 7 $ahttps://doi.org/10.1007/s10681-023-03165-6$2DOI 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. 700 1 $aSOUZA, T. L. P. O. de 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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1. |  | GARRETT, R. D.; NILES, M. T.; GIL, J. D. B.; GAUDIN, A.; CHAPLIN-KRAMER, R.; ASSMANN, A.; ASSMANN, T. S.; BREWERM, K.; CARVALHO, P. C. de F.; CORTNER, O.; DYNES, R.; GARBACHK, K.; KEBREAB, E.; MUELLER, N.; PETERSON, C.; REIS, J. C. dos; SNOW, V.; VALENTIM, J. F. Social and ecological analysis of commercial integrated crop livestock systems: Current knowledge and remaining uncertainty. Agricultural Systems, Amsterdam, v. 155, p. 136-146, July 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
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