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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
12/12/2012 |
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Data da última atualização: |
12/12/2012 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
UHDE, L. T.; LONDERO, A. L.; RUPOLLO, C. Z.; FERNANDES, S. B. V.; MAIXNER, A. R.; SILVA, G. M. da. |
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Afiliação: |
Leonir Terezinha Uhde, UNIJUÍ; Ana Lúcia Londero, ACADÊMICA UNIJUÍ; Carlos Zandoná Rupollo, ACADÊMICO UNIJUÍ; Sandra Beatriz Vicenci Fernandes, UNIJUÍ; Adriano Rudi Maixner, UNIJUÍ; GUSTAVO MARTINS DA SILVA, CPPSUL. |
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Título: |
Pastagem de tifton 85 consorciado com forrageiras de inverno pastejadas e submetidas à fenação no período estival: índice de fertilidade e recomendações de calagem e adubação. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA, 20.; JORNADA DE PESQUISA, 17.; JORNADA DE EXTENSÃO, 13.; MOSTRA DE INICIAÇÃO CIENTÍFICA JÚNIOR, 2.; SEMINÁRIO DE INOVAÇÃO E TECNOLOGIA, 2., 2012, Ijuí. Tecnologia social: sustentabilidade: erradicação da pobreza: [anais eletrônicos]. Ijuí: Unijuí, 2012. |
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ISSN: |
2178-7743 |
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Idioma: |
Português |
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Notas: |
Salão do conhecimento. |
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Thesagro: |
Pastagem. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/72117/1/Silva-pastagem-299.pdf
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Marc: |
LEADER 00952nam a2200193 a 4500
001 1942244
005 2012-12-12
008 2012 bl uuuu u00u1 u #d
022 $a2178-7743
100 1 $aUHDE, L. T.
245 $aPastagem de tifton 85 consorciado com forrageiras de inverno pastejadas e submetidas à fenação no período estival$bíndice de fertilidade e recomendações de calagem e adubação.$h[electronic resource]
260 $aIn: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA, 20.; JORNADA DE PESQUISA, 17.; JORNADA DE EXTENSÃO, 13.; MOSTRA DE INICIAÇÃO CIENTÍFICA JÚNIOR, 2.; SEMINÁRIO DE INOVAÇÃO E TECNOLOGIA, 2., 2012, Ijuí. Tecnologia social: sustentabilidade: erradicação da pobreza: [anais eletrônicos]. Ijuí: Unijuí$c2012
500 $aSalão do conhecimento.
650 $aPastagem
700 1 $aLONDERO, A. L.
700 1 $aRUPOLLO, C. Z.
700 1 $aFERNANDES, S. B. V.
700 1 $aMAIXNER, A. R.
700 1 $aSILVA, G. M. da
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Registro original: |
Embrapa Pecuária Sul (CPPSUL) |
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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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Circulação/Nível: |
A - 1 |
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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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