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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
14/03/2016 |
Data da última atualização: |
14/03/2016 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
ALFONZO, E. P. M.; DALTRO, D. dos S.; STUMPF, M. T.; DALCIN, V. C.; KOLLING, G.; SILVA, M. V. G. B.; FISCHER, V.; McMANUS, C. M. |
Afiliação: |
EVELYN PRISCILA MÜNCHEN ALFONZO, UFRGS; DARLENE DOS SANTOS DALTRO, UFRGS; MARCELO TEMPEL STUMPF, UFRGS; VANESSA CALDERARO DALCIN, Secretaria Estadual da Agricultura e Pecuária, Estrela, RS; GIOVANI KOLLING, UFRGS; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; VIVIAN FISCHER, UFRGS; CONCEPTA MARGARET McMANUS, UnB. |
Título: |
Correlações entre os parâmetros físicos, fisiológicos e a termografia em bovinos leiteiros submetidos ao estresse por calor. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: CONGRESSO INTERNACIONAL DO LEITE, 13., 2015, Porto Alegre. Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. |
Páginas: |
4 p. |
Idioma: |
Português |
Palavras-Chave: |
Características; Termógrafo; Vacas. |
Thesagro: |
Fisiologia; Temperatura. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 00829naa a2200265 a 4500 001 2040786 005 2016-03-14 008 2015 bl uuuu u00u1 u #d 100 1 $aALFONZO, E. P. M. 245 $aCorrelações entre os parâmetros físicos, fisiológicos e a termografia em bovinos leiteiros submetidos ao estresse por calor. 260 $c2015 300 $a4 p. 650 $aFisiologia 650 $aTemperatura 653 $aCaracterísticas 653 $aTermógrafo 653 $aVacas 700 1 $aDALTRO, D. dos S. 700 1 $aSTUMPF, M. T. 700 1 $aDALCIN, V. C. 700 1 $aKOLLING, G. 700 1 $aSILVA, M. V. G. B. 700 1 $aFISCHER, V. 700 1 $aMcMANUS, C. M. 773 $tIn: CONGRESSO INTERNACIONAL DO LEITE, 13., 2015, Porto Alegre. Anais... Juiz de Fora: Embrapa Gado de Leite, 2015.
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Embrapa Gado de Leite (CNPGL) |
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Registro Completo
Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
15/03/2018 |
Data da última atualização: |
25/02/2019 |
Autoria: |
WOYANN, L. G.; MILIOLI, A. S.; BOZI, A. H.; DALLÓ, S. C.; MATEI, G.; STORCK, L.; BENIN, G. |
Afiliação: |
Leomar Guilherme Woyann, Universidade Tecnológica Federal do Paraná; Anderson Simionato Milioli, Universidade Tecnológica Federal do Paraná; Antonio Henrique Bozi, Universidade Tecnológica Federal do Paraná; Samuel Cristian Dalló, Universidade Tecnológica Federal do Paraná; Gilvani Matei, Universidade Tecnológica Federal do Paraná; Lindolfo Storck, Universidade Tecnológica Federal do Paraná; Giovani Benin, Universidade Tecnológica Federal do Paraná. |
Título: |
Repeatability of associations between analytical methods of adaptability, stability, and productivity in soybean. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 1, p. 63-73, jan. 2018. |
Idioma: |
Inglês |
Notas: |
Título em portugues: Repetibilidade das associações entre métodos de análise de adaptabilidade, estabilidade e produtividade em soja. |
Conteúdo: |
The objective of this work was to evaluate the association between estimates of adaptability, stability, and productivity in soybean (Glycine max), and to estimate the repeatability coefficient of these associations between years. A total of 22 genotypes were evaluated in 27 environments in the 2012/2013 crop season and in 19 environments in 2013/2014. In the next crop seasons, 28 genotypes were evaluated in 26 environments, in 2014/2015, and in 25 environments in 2015/2016, totalizing 97 trials. Fourteen methods were evaluated; Spearman correlation coefficients were obtained for the parameters of stability, adaptability, and productivity; and the repeatability coefficients, as well as the minimum number of required environments for a coefficient of determination of 80 and 90%, were calculated. The minimum number of environments required to estimate the degree of association between the parameters was low (seven sites). The methods of Eberhart & Russell and GGE biplot are essential in the evaluation of productivity, adaptability, and stability in soybean because they are able to encompass these aspects using a minimum set of methods. The methods of Annicchiarico (AN), Silva & Barreto (SB), Cruz (CR), and Storck & Vencovsky (SV) can be used to generate complementary information, such as: stability for general, favorable, and unfavorable environments (AN); adaptability in favorable and unfavorable environments (SB, CR, and SV); and average productivity in all environments and in favorable or unfavorable environments (SV). MenosThe objective of this work was to evaluate the association between estimates of adaptability, stability, and productivity in soybean (Glycine max), and to estimate the repeatability coefficient of these associations between years. A total of 22 genotypes were evaluated in 27 environments in the 2012/2013 crop season and in 19 environments in 2013/2014. In the next crop seasons, 28 genotypes were evaluated in 26 environments, in 2014/2015, and in 25 environments in 2015/2016, totalizing 97 trials. Fourteen methods were evaluated; Spearman correlation coefficients were obtained for the parameters of stability, adaptability, and productivity; and the repeatability coefficients, as well as the minimum number of required environments for a coefficient of determination of 80 and 90%, were calculated. The minimum number of environments required to estimate the degree of association between the parameters was low (seven sites). The methods of Eberhart & Russell and GGE biplot are essential in the evaluation of productivity, adaptability, and stability in soybean because they are able to encompass these aspects using a minimum set of methods. The methods of Annicchiarico (AN), Silva & Barreto (SB), Cruz (CR), and Storck & Vencovsky (SV) can be used to generate complementary information, such as: stability for general, favorable, and unfavorable environments (AN); adaptability in favorable and unfavorable environments (SB, CR, and SV); and average productivity in all environments and ... Mostrar Tudo |
Palavras-Chave: |
Cultivar recommendation; Genotype x environment interaction; Indicação de cultivares; Interação genótipo x ambiente. |
Thesagro: |
Glycine Max. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173987/1/Repeatability-of-associations-between-analytical.pdf
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Marc: |
LEADER 02521naa a2200265 a 4500 001 2089226 005 2019-02-25 008 2018 bl uuuu u00u1 u #d 100 1 $aWOYANN, L. G. 245 $aRepeatability of associations between analytical methods of adaptability, stability, and productivity in soybean.$h[electronic resource] 260 $c2018 500 $aTítulo em portugues: Repetibilidade das associações entre métodos de análise de adaptabilidade, estabilidade e produtividade em soja. 520 $aThe objective of this work was to evaluate the association between estimates of adaptability, stability, and productivity in soybean (Glycine max), and to estimate the repeatability coefficient of these associations between years. A total of 22 genotypes were evaluated in 27 environments in the 2012/2013 crop season and in 19 environments in 2013/2014. In the next crop seasons, 28 genotypes were evaluated in 26 environments, in 2014/2015, and in 25 environments in 2015/2016, totalizing 97 trials. Fourteen methods were evaluated; Spearman correlation coefficients were obtained for the parameters of stability, adaptability, and productivity; and the repeatability coefficients, as well as the minimum number of required environments for a coefficient of determination of 80 and 90%, were calculated. The minimum number of environments required to estimate the degree of association between the parameters was low (seven sites). The methods of Eberhart & Russell and GGE biplot are essential in the evaluation of productivity, adaptability, and stability in soybean because they are able to encompass these aspects using a minimum set of methods. The methods of Annicchiarico (AN), Silva & Barreto (SB), Cruz (CR), and Storck & Vencovsky (SV) can be used to generate complementary information, such as: stability for general, favorable, and unfavorable environments (AN); adaptability in favorable and unfavorable environments (SB, CR, and SV); and average productivity in all environments and in favorable or unfavorable environments (SV). 650 $aGlycine Max 653 $aCultivar recommendation 653 $aGenotype x environment interaction 653 $aIndicação de cultivares 653 $aInteração genótipo x ambiente 700 1 $aMILIOLI, A. S. 700 1 $aBOZI, A. H. 700 1 $aDALLÓ, S. C. 700 1 $aMATEI, G. 700 1 $aSTORCK, L. 700 1 $aBENIN, G. 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 53, n. 1, p. 63-73, jan. 2018.
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