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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
19/07/2021 |
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Data da última atualização: |
05/10/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUZA, V. F. de; RIBEIRO, P. C. de O.; VIEIRA JÚNIOR, I. C.; OLIVEIRA, I. C. M.; DAMASCENO, C. M. B.; SCHAFFERT, R. E.; PARRELLA, R. A. da C.; DIAS, K. O. das G.; PASTINA, M. M. |
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Afiliação: |
VANDER FILLIPE DE SOUZA; PEDRO CÉSAR DE OLIVEIRA RIBEIRO, Universidade Federal de Viçosa; INDALÉCIO CUNHA VIEIRA JÚNIOR, Universidade Federal de Lavras; ISADORA CRISTINA MARTINS OLIVEIRA; CYNTHIA MARIA BORGES DAMASCENO, CNPMS; ROBERT EUGENE SCHAFFERT, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; KAIO OLIMPIO DAS GRAÇAS DIAS, Escola Superior de Agricultura Luiz de Queiroz; MARIA MARTA PASTINA, CNPMS. |
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Título: |
Exploring genotype x environment interaction in sweet sorghum under tropical environments. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Agronomy Journal, v. 113, p. 3005-3018, 2021. |
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DOI: |
http://dx.doi.org/10.1002/agj2.20696 |
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Idioma: |
Inglês |
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Conteúdo: |
Understanding the genotype-by-environment interactions (GEI) is crucial to release sweet sorghum [Sorghum bicolor (L.) Moench] cultivars with stable and high agronomic performance under tropical environments. Therefore, linear mixed models could be used to face this challenge by leveraging the biological process of GEI into cultivar recommendation. The goals of this study were: (a) to explore GEI patterns under tropical conditions to select stable and high-yielding genotypes for energyuse in the bioethanol industry; and (b) to evaluate the advantages of linear mixed models taking into account simultaneously the genetic and the residual correlations across environments and the genomic relationship between genotypes. The breeding dataset was comprised of 41 genotypes evaluated for Tonnes of brix per hectare (TBH) in late-stage trials over 32 tropical environments. The models incorporating simultaneously the genomic relationship matrix of genotypes and the genetic and the residual correlations across environments showed the lowest values of Akaike Information Criterion (AIC) compared to the standard phenotypic models, and also increased the expected genetic gains of TBH across years. Based on the best models selected by AIC, the genotypes 38 (CMSXS5006), 6 (BRS511), 5 (CMSXS633), 9 (CMSXS637), and 12 (BRS506) exhibited the highest productivity in TBH. Particularly, the genotype 9 (CMSXS637) showed broad stability and high productivity under tropical environments, besides the desirable traits for bioethanol production. These results highlight the importance of modeling the genomic relationship between genotypes and the genetic and the residual correlations across environments to increase the breeding efficiency of sweet sorghum under tropical environments MenosUnderstanding the genotype-by-environment interactions (GEI) is crucial to release sweet sorghum [Sorghum bicolor (L.) Moench] cultivars with stable and high agronomic performance under tropical environments. Therefore, linear mixed models could be used to face this challenge by leveraging the biological process of GEI into cultivar recommendation. The goals of this study were: (a) to explore GEI patterns under tropical conditions to select stable and high-yielding genotypes for energyuse in the bioethanol industry; and (b) to evaluate the advantages of linear mixed models taking into account simultaneously the genetic and the residual correlations across environments and the genomic relationship between genotypes. The breeding dataset was comprised of 41 genotypes evaluated for Tonnes of brix per hectare (TBH) in late-stage trials over 32 tropical environments. The models incorporating simultaneously the genomic relationship matrix of genotypes and the genetic and the residual correlations across environments showed the lowest values of Akaike Information Criterion (AIC) compared to the standard phenotypic models, and also increased the expected genetic gains of TBH across years. Based on the best models selected by AIC, the genotypes 38 (CMSXS5006), 6 (BRS511), 5 (CMSXS633), 9 (CMSXS637), and 12 (BRS506) exhibited the highest productivity in TBH. Particularly, the genotype 9 (CMSXS637) showed broad stability and high productivity under tropical environments, besides the de... Mostrar Tudo |
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Palavras-Chave: |
Interação genotipo x ambiente. |
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Thesagro: |
Colheita; Seleção; Sorgo; Sorgo Açucareiro; Variedade. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02687naa a2200301 a 4500
001 2133012
005 2021-10-05
008 2021 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1002/agj2.20696$2DOI
100 1 $aSOUZA, V. F. de
245 $aExploring genotype x environment interaction in sweet sorghum under tropical environments.$h[electronic resource]
260 $c2021
520 $aUnderstanding the genotype-by-environment interactions (GEI) is crucial to release sweet sorghum [Sorghum bicolor (L.) Moench] cultivars with stable and high agronomic performance under tropical environments. Therefore, linear mixed models could be used to face this challenge by leveraging the biological process of GEI into cultivar recommendation. The goals of this study were: (a) to explore GEI patterns under tropical conditions to select stable and high-yielding genotypes for energyuse in the bioethanol industry; and (b) to evaluate the advantages of linear mixed models taking into account simultaneously the genetic and the residual correlations across environments and the genomic relationship between genotypes. The breeding dataset was comprised of 41 genotypes evaluated for Tonnes of brix per hectare (TBH) in late-stage trials over 32 tropical environments. The models incorporating simultaneously the genomic relationship matrix of genotypes and the genetic and the residual correlations across environments showed the lowest values of Akaike Information Criterion (AIC) compared to the standard phenotypic models, and also increased the expected genetic gains of TBH across years. Based on the best models selected by AIC, the genotypes 38 (CMSXS5006), 6 (BRS511), 5 (CMSXS633), 9 (CMSXS637), and 12 (BRS506) exhibited the highest productivity in TBH. Particularly, the genotype 9 (CMSXS637) showed broad stability and high productivity under tropical environments, besides the desirable traits for bioethanol production. These results highlight the importance of modeling the genomic relationship between genotypes and the genetic and the residual correlations across environments to increase the breeding efficiency of sweet sorghum under tropical environments
650 $aColheita
650 $aSeleção
650 $aSorgo
650 $aSorgo Açucareiro
650 $aVariedade
653 $aInteração genotipo x ambiente
700 1 $aRIBEIRO, P. C. de O.
700 1 $aVIEIRA JÚNIOR, I. C.
700 1 $aOLIVEIRA, I. C. M.
700 1 $aDAMASCENO, C. M. B.
700 1 $aSCHAFFERT, R. E.
700 1 $aPARRELLA, R. A. da C.
700 1 $aDIAS, K. O. das G.
700 1 $aPASTINA, M. M.
773 $tAgronomy Journal$gv. 113, p. 3005-3018, 2021.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Pantanal; Embrapa Unidades Centrais. |
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Data corrente: |
13/12/2022 |
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Data da última atualização: |
13/12/2022 |
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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: |
SANTOS, S. A.; SILVA, G. A. da; REZENDE, A. S. C. de; FARIA, D. A. de; SORIANO, B. M. A.; MCMANUS, C. |
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Afiliação: |
SANDRA APARECIDA SANTOS, CPAP; GIANNI AGUIAR DA SILVA, Universidade Estadual Paulista Júlio de Mesquita Filho; ADALGIZA SOUZA CARNEIRO DE REZENDE, Universidade Federal de Minas Gerais; DANIELLE ASSIS DE FARIA, Universidade de Brasília; BALBINA MARIA ARAUJO SORIANO, CPAP; CONCEPTA MCMANUS, Universidade de Brasília. |
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Título: |
Heat tolerance in Pantaneiro horses subjected to different exercise regimes. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 57, e02955, 2022. |
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DOI: |
10.1590/S1678-3921.pab2022.v57.02955 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The objective of this work was to determine how different types of gait affect the physiological and thermographic responses of Pantaneiro horses (Equus ferus caballus) subjected to field conditions under high environmental temperatures. Ten horses were evaluated in a double 5x5 Latin square experimental design, with five gait types: walk, trot, extended trot, gallop, and extended gallop. The following physiological measures were determined immediately after exercise: heart and respiratory rates, blood lactate content, and rectal temperature. Body surface temperatures were evaluated using an infrared camera. The walk, trot, and extended trot were the most adequate gaits for Pantaneiro horses to maintain thermoregulation within the physiological norms under conditions with a high air temperature. The temperatures obtained in the eye and elbow regions show the best predictive capacity for physiological parameters. Resumo: O objetivo deste trabalho foi determinar como os diferentes tipos de andamento afetam as respostas fisiológicas e termográficas de cavalos Pantaneiro (Equus ferus caballus) submetidos a condições ambientais com alta temperatura. Dez cavalos foram avaliados em delineamento experimental de quadrado latino 5x5 duplo, com cinco andamentos: passo, trote, trote estendido, galope e galope estendido. As seguintes medidas fisiológicas foram determinadas logo após os exercícios: taxas cardíaca e respiratória, teor de lactato sanguíneo e temperatura retal. As imagens termográficas foram avaliadas por meio de câmera de infravermelho. O passo, o trote e o trote estendido foram os andamentos mais adequados para os cavalos Pantaneiros manterem a termorregulação dentro das normas fisiológicas em condições de alta temperatura do ar. As temperaturas obtidas nas regiões da área do olho e da axila mostram maior capacidade preditiva para os parâmetros fisiológicos. MenosAbstract: The objective of this work was to determine how different types of gait affect the physiological and thermographic responses of Pantaneiro horses (Equus ferus caballus) subjected to field conditions under high environmental temperatures. Ten horses were evaluated in a double 5x5 Latin square experimental design, with five gait types: walk, trot, extended trot, gallop, and extended gallop. The following physiological measures were determined immediately after exercise: heart and respiratory rates, blood lactate content, and rectal temperature. Body surface temperatures were evaluated using an infrared camera. The walk, trot, and extended trot were the most adequate gaits for Pantaneiro horses to maintain thermoregulation within the physiological norms under conditions with a high air temperature. The temperatures obtained in the eye and elbow regions show the best predictive capacity for physiological parameters. Resumo: O objetivo deste trabalho foi determinar como os diferentes tipos de andamento afetam as respostas fisiológicas e termográficas de cavalos Pantaneiro (Equus ferus caballus) submetidos a condições ambientais com alta temperatura. Dez cavalos foram avaliados em delineamento experimental de quadrado latino 5x5 duplo, com cinco andamentos: passo, trote, trote estendido, galope e galope estendido. As seguintes medidas fisiológicas foram determinadas logo após os exercícios: taxas cardíaca e respiratória, teor de lactato sanguíneo e temperatura retal. As ... Mostrar Tudo |
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Thesagro: |
Bem-Estar; Cavalo; Temperatura do Corpo. |
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Thesaurus NAL: |
Animal welfare; Body temperature; Horses; Thermal stress. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1149615/1/Heat-tolerance-in-Pantaneiro.pdf
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Marc: |
LEADER 02741naa a2200277 a 4500
001 2149615
005 2022-12-13
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1590/S1678-3921.pab2022.v57.02955$2DOI
100 1 $aSANTOS, S. A.
245 $aHeat tolerance in Pantaneiro horses subjected to different exercise regimes.$h[electronic resource]
260 $c2022
520 $aAbstract: The objective of this work was to determine how different types of gait affect the physiological and thermographic responses of Pantaneiro horses (Equus ferus caballus) subjected to field conditions under high environmental temperatures. Ten horses were evaluated in a double 5x5 Latin square experimental design, with five gait types: walk, trot, extended trot, gallop, and extended gallop. The following physiological measures were determined immediately after exercise: heart and respiratory rates, blood lactate content, and rectal temperature. Body surface temperatures were evaluated using an infrared camera. The walk, trot, and extended trot were the most adequate gaits for Pantaneiro horses to maintain thermoregulation within the physiological norms under conditions with a high air temperature. The temperatures obtained in the eye and elbow regions show the best predictive capacity for physiological parameters. Resumo: O objetivo deste trabalho foi determinar como os diferentes tipos de andamento afetam as respostas fisiológicas e termográficas de cavalos Pantaneiro (Equus ferus caballus) submetidos a condições ambientais com alta temperatura. Dez cavalos foram avaliados em delineamento experimental de quadrado latino 5x5 duplo, com cinco andamentos: passo, trote, trote estendido, galope e galope estendido. As seguintes medidas fisiológicas foram determinadas logo após os exercícios: taxas cardíaca e respiratória, teor de lactato sanguíneo e temperatura retal. As imagens termográficas foram avaliadas por meio de câmera de infravermelho. O passo, o trote e o trote estendido foram os andamentos mais adequados para os cavalos Pantaneiros manterem a termorregulação dentro das normas fisiológicas em condições de alta temperatura do ar. As temperaturas obtidas nas regiões da área do olho e da axila mostram maior capacidade preditiva para os parâmetros fisiológicos.
650 $aAnimal welfare
650 $aBody temperature
650 $aHorses
650 $aThermal stress
650 $aBem-Estar
650 $aCavalo
650 $aTemperatura do Corpo
700 1 $aSILVA, G. A. da
700 1 $aREZENDE, A. S. C. de
700 1 $aFARIA, D. A. de
700 1 $aSORIANO, B. M. A.
700 1 $aMCMANUS, C.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 57, e02955, 2022.
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Embrapa Pantanal (CPAP) |
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