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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
20/08/2020 |
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Data da última atualização: |
04/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Field Crops Research, v. 257, 107929, 2020. |
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Idioma: |
Inglês |
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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 |
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Thesagro: |
Bioenergia; Melhoramento Genético Vegetal; Sorghum Bicolor. |
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Categoria do assunto: |
-- |
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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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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Origem |
Tipo/Formato |
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Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
26/08/1996 |
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Data da última atualização: |
19/08/2014 |
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Tipo da produção científica: |
Artigo de Divulgação na Mídia |
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Autoria: |
SILVA, F. L. R. da; FIGUEREDO, E. A. P. de; SIMPLICIO, A. A.; ARRUDA, F. de A. V.; PIMENTEL, J. C. M. |
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Afiliação: |
FRANCISCO LUIZ RIBEIRO DA SILVA, CNPC; ÉLSIO ANTONIO P de FIGUEIREDO, CNPC; AURINO ALVES SIMPLÍCIO, CNPC; FRANCISCO DE ASSIS V. ARRUDA, CNPC; JOSÉ CARLOS MACHADO PIMENTEL, CNPC. |
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Título: |
A raça Moxotó do Nordeste do Brasil. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
A Lavoura, v. 97, n. 607, p. 27-31, 1994. |
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Idioma: |
Português |
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Conteúdo: |
A raca Moxoto e adequada para ser utilizada em programas de cruzamento com racas exoticas, visando aumentar a produtividade do rebanho em carne e leite. |
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Palavras-Chave: |
Brasil; Native breed; Native species; Nordeste; Northeast; Raça Moxotó; Raça nativa. |
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Thesagro: |
Caprino. |
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Thesaurus NAL: |
Brazil; Goats. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/41791/1/AP-A-raca-Moxoto.pdf
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Marc: |
LEADER 00843nam a2200277 a 4500
001 1514145
005 2014-08-19
008 1994 bl uuuu u00u1 u #d
100 1 $aSILVA, F. L. R. da
245 $aA raça Moxotó do Nordeste do Brasil.
260 $aA Lavoura, v. 97, n. 607, p. 27-31$c1994
520 $aA raca Moxoto e adequada para ser utilizada em programas de cruzamento com racas exoticas, visando aumentar a produtividade do rebanho em carne e leite.
650 $aBrazil
650 $aGoats
650 $aCaprino
653 $aBrasil
653 $aNative breed
653 $aNative species
653 $aNordeste
653 $aNortheast
653 $aRaça Moxotó
653 $aRaça nativa
700 1 $aFIGUEREDO, E. A. P. de
700 1 $aSIMPLICIO, A. A.
700 1 $aARRUDA, F. de A. V.
700 1 $aPIMENTEL, J. C. M.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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