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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
23/11/1992 |
Data da última atualização: |
12/02/1996 |
Autoria: |
ANAYA, J. R. R.; NEIVA, R. S.; COSTA, C. N.; FREITAS, A. F. de; OLIVEIRA, A. I. G. de. |
Afiliação: |
CNPGL. |
Título: |
Desempenho produtivo de vacas mesticas europeu-zebu de primeira lactacao. |
Ano de publicação: |
1991 |
Fonte/Imprenta: |
Joao Pessoa: SBZ, 1991. |
Páginas: |
p.457. |
Idioma: |
Português |
Notas: |
In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 28., 1991, Joao Pessoa. Anais... Joao Pessoa: SBZ, 1991. |
Palavras-Chave: |
Bovino de leite; Crossbreed; Raca mestica. |
Thesagro: |
Leite; Produção. |
Thesaurus Nal: |
dairy cattle; milk production. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00786naa a2200265 a 4500 001 1591608 005 1996-02-12 008 1991 bl uuuu u00u1 u #d 100 1 $aANAYA, J. R. R. 245 $aDesempenho produtivo de vacas mesticas europeu-zebu de primeira lactacao. 260 $c1991 300 $ap.457. 500 $aIn: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 28., 1991, Joao Pessoa. Anais... Joao Pessoa: SBZ, 1991. 650 $adairy cattle 650 $amilk production 650 $aLeite 650 $aProdução 653 $aBovino de leite 653 $aCrossbreed 653 $aRaca mestica 700 1 $aNEIVA, R. S. 700 1 $aCOSTA, C. N. 700 1 $aFREITAS, A. F. de 700 1 $aOLIVEIRA, A. I. G. de 773 $tJoao Pessoa: SBZ, 1991.
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Embrapa Gado de Leite (CNPGL) |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
17/08/2021 |
Data da última atualização: |
17/08/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
RODRIGUES, E. V.; DAHER, R. F.; GRAVINA, G. de A.; VIANA, A. P.; ARAUJO, M. do S. B. de; OLIVEIRA, M. L. F.; VIVAS, M.; MENEZES, B. R. da S.; PEREIRA, A. V. |
Afiliação: |
ERINA VITÓRIO RODRIGUES, Universidade de Brasília; ROGÉRIO FIGUEIREDO DAHER, Universidade Estadual do Norte Fluminense Darcy Ribeiro; GERALDO DE AMARAL GRAVINA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ALEXANDRE PIO VIANA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MARIA DO SOCORRO BEZERRA DE ARAÚJO, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MARIA LORRAINE FONSECA OLIVEIRA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MARCELO VIVAS, Universidade Estadual do Norte Fluminense Darcy Ribeiro; BRUNA RAFAELA DA SILVA MENEZES, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ANTONIO VANDER PEREIRA, CNPGL. |
Título: |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for forage production. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Bioscience Journal, v. 36, n. 1, p. 30-41, Jan./Feb. 2020. |
DOI: |
http://dx.doi.org/10.14393/BJ-v36n1a2020-42075 |
Idioma: |
Inglês |
Conteúdo: |
In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. MenosIn forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurem... Mostrar Tudo |
Palavras-Chave: |
Coefficient of determination; Dry matter yield; Main components. |
Thesagro: |
Capim Elefante; Forragem; Matéria Seca; Pennisetum Purpureum. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225234/1/Repeatability-estimates.pdf
|
Marc: |
LEADER 02605naa a2200313 a 4500 001 2133624 005 2021-08-17 008 2020 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.14393/BJ-v36n1a2020-42075$2DOI 100 1 $aRODRIGUES, E. V. 245 $aRepeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for forage production.$h[electronic resource] 260 $c2020 520 $aIn forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. 650 $aCapim Elefante 650 $aForragem 650 $aMatéria Seca 650 $aPennisetum Purpureum 653 $aCoefficient of determination 653 $aDry matter yield 653 $aMain components 700 1 $aDAHER, R. F. 700 1 $aGRAVINA, G. de A. 700 1 $aVIANA, A. P. 700 1 $aARAUJO, M. do S. B. de 700 1 $aOLIVEIRA, M. L. F. 700 1 $aVIVAS, M. 700 1 $aMENEZES, B. R. da S. 700 1 $aPEREIRA, A. V. 773 $tBioscience Journal$gv. 36, n. 1, p. 30-41, Jan./Feb. 2020.
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