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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
20/08/2020 |
Data da última atualização: |
04/11/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
OLIVEIRA, I. C. M.; GUILHEN, J. H. S.; RIBEIRO, P. C. de O.; GEZAN, S. A.; SCHAFFERT, R. E.; SIMEONE, M. L. F.; DAMASCENO, C. M. B.; CARNEIRO, J. E. de S.; CARNEIRO, P. C. S.; PARRELLA, R. A. da C.; PASTINA, M. M. |
Afiliação: |
Isadora Cristina Martins Oliveira; José Henrique Soler Guilhen; Pedro César de Oliveira Ribeiro, Universidade Federal de Viçosa; Salvador Alejandro Gezan, VSN International; ROBERT EUGENE SCHAFFERT, CNPMS; MARIA LUCIA FERREIRA SIMEONE, CNPMS; CYNTHIA MARIA BORGES DAMASCENO, CNPMS; José Eustáquio de Souza Carneiro, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; MARIA MARTA PASTINA, CNPMS. |
Título: |
Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Field Crops Research, v. 257, 107929, 2020. |
Idioma: |
Inglês |
Conteúdo: |
Biomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environmental factors affecting G × E, such as minimumtemperature, precipitation, solar radiation, crop growth cycle and altitude. MenosBiomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environment... Mostrar Tudo |
Thesagro: |
Bioenergia; Melhoramento Genético Vegetal; Sorghum Bicolor. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215435/1/Genotype-environment.pdf
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Marc: |
LEADER 02518naa a2200277 a 4500 001 2124452 005 2020-11-04 008 2020 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, I. C. M. 245 $aGenotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates.$h[electronic resource] 260 $c2020 520 $aBiomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomassyield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but alsohighly affected by the environment. The main goal of this study was to investigate the genotype-by-environmentinteraction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years,using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations betweenenvironments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiledthat solely three factors explained more than 79% of the genetic variance, and that more than 60% of theenvironments were clustered in thefirst factor. Moderate correlations were found between some environmentalcovariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G× E between environments clustered in a given factor. For example: precipitation, minimum temperature andspeed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation andaltitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybridsmore responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally,FA models can be successfully used to identify the main environmental factors affecting G × E, such as minimumtemperature, precipitation, solar radiation, crop growth cycle and altitude. 650 $aBioenergia 650 $aMelhoramento Genético Vegetal 650 $aSorghum Bicolor 700 1 $aGUILHEN, J. H. S. 700 1 $aRIBEIRO, P. C. de O. 700 1 $aGEZAN, S. A. 700 1 $aSCHAFFERT, R. E. 700 1 $aSIMEONE, M. L. F. 700 1 $aDAMASCENO, C. M. B. 700 1 $aCARNEIRO, J. E. de S. 700 1 $aCARNEIRO, P. C. S. 700 1 $aPARRELLA, R. A. da C. 700 1 $aPASTINA, M. M. 773 $tField Crops Research$gv. 257, 107929, 2020.
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Embrapa Milho e Sorgo (CNPMS) |
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Registros recuperados : 135 | |
4. | | DEL PELOSO, M. J.; CARNEIRO, J. E. de S. Melhoramento do feijoeiro visando obtenção de cultivares produtivas e resistentes a antracnose e crestamento bacteriano para o Estado de Goiás. Fitopatologia Brasileira, v. 14, n. 2, p. 147, jul. 1989. Suplemento, ref. 207. Edição de Resumos do XXII Congresso Brasileiro de Fitopatologia, Recife, PE, jul. 1989.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Arroz e Feijão. |
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6. | | OLIVEIRA, G. V.; CARNEIRO, P. C. S.; CARNEIRO, J. E. de S.; CRUZ, C. D. Adaptabilidade e estabilidade de linhagens de feijão comum em Minas Gerais. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 41, n. 2, p. 257-265, fev. 2006 Título em inglês: Adaptability and stability of common bean in Minas Gerais State, Brazil.Biblioteca(s): Embrapa Unidades Centrais. |
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10. | | SOUSA, F. F. de; SANTOS, R. H. S.; CARNEIRO, J. E. de S.; URQUIAGA, S. Adubação verde de feijoeiro em consórcio com cafeeiro na agricultura familiar de Araponga, Minas Gerais, Brasil. Green manuring of beans intercropped with coffee in family farming of Araponga, Minas Gerais, Brazil. Revista Verde, v. 12, n. 4, p. 674-679, out.-dez., 2017. Green manuring of beans intercropped with coffee in family farming of Araponga, Minas Gerais, Brazil.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
Biblioteca(s): Embrapa Agrobiologia. |
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12. | | CARNEIRO, J. E. de S.; BARBOSA, H. M.; CARDOSO, A. A.; VIEIRA, C. Sensibilidade a radiação gama de sementes de Phaseolus vulgaris L., cv. Milionário 1732. Revista Ceres, Vicosa, v. 34, n. 193, p. 306-312, maio/jun. 1987.Tipo: Artigo em Periódico Indexado |
Biblioteca(s): Embrapa Arroz e Feijão. |
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13. | | MOURA, M. M.; CARNEIRO, P. C. S.; CARNEIRO, J. E. de S.; CRUZ, C. D. Potencial de caracteres na avaliação da arquitetura de plantas de feijão. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 4, p. 417-425, abr. 2013. Título em inglês: Potential of characters for evaluating common bean plant architecture.Biblioteca(s): Embrapa Unidades Centrais. |
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15. | | SARTORATO, A.; ZIMMERMANN, M. J. de O.; RAVA, C. A.; CARNEIRO, J. E. de S. Inheritance of dry bean resistance to Isariopsis griseola. Summa Phytopathologica, v. 19, n. 1, p. 30, jan./mar. 1993. Suplemento, ref. 11. Edição dos Resumos do XVI Congresso Paulista de Fitopatologia, Campinas, fev. 1993.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Arroz e Feijão. |
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Registros recuperados : 135 | |
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