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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
30/11/2023 |
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Data da última atualização: |
30/11/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CAMARGO JÚNIOR, R. N. C.; ARAÚJO, C. V. de; MENEZES, F. L. de; ARAÚJO, S. I.; PAVAN, N. L.; ROCHA-SILVA, M.; SILVA, W. C. da; MARQUES, J. R. F.; SILVA, A. G. M. e; CHALKIDIS, H. de M.; LOURENÇO JÚNIOR, J. de B. |
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Afiliação: |
RAIMUNDO NONATO COLARES CAMARGO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁ; CLÁUDIO VIEIRA DE ARAÚJO, UNIVERSIDADE FEDERAL DE MATO GROSSO; FLÁVIO LUIZ DE MENEZES, UNIVERSIDADE FEDERAL DE MATO GROSSO; SIMONE INOE DE ARAÚJO, UNIVERSIDADE FEDERAL DE MATO GROSSO; NAIANA LETICIA PAVAN, UNIVERSIDADE FEDERAL DE MATO GROSSO; MÉRIK ROCHA-SILVA, UNIVERSIDADE FEDERAL DO PIAUÍ; WELLIGTON CONCEIÇÃO DA SILVA, UNIVERSIDADE FEDERAL DO PARÁ; JOSE RIBAMAR FELIPE MARQUES, CPATU; ANDRÉ GUIMARÃES MACIEL E SILVA, UNIVERSIDADE FEDERAL DO PARÁ; HIPÓCRATES DE MENEZES CHALKIDIS, UNIVERSIDADE DA AMAZÔNIA; JOSÉ DE BRITO LOURENÇO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁ. |
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Título: |
Growth curve mixed nonlinear models in quails. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
PLoS ONE, v. 18, n. 6, p. e0287056, 2023. |
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DOI: |
https://doi.org/ 10.1371/journal.pone.0287056 |
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Idioma: |
Inglês |
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Conteúdo: |
Our aim was to evaluate the use and application of different nonlinear mixed models, as well as to compare them with approach in nonlinear fixed models, for describing the growth curve of meat-type quails according to gender. A total of 15,002 and 15,408 records of males and females were used, respectively. The body weights were regressed on age of the animals using nonlinear models (Brody; Gompertz; Logistic, Morgan-Mercer-Flodin, Richards and Von Bertalanffy). All model parameters were considered fixed, whereas parameters related to asymptotic weight and maturity rate were fitted as random effects. The Bayesian Information Criterion was used to find the model of best fit. For both genders, the model that used the Morgan-Mercer-Flodin function with the inclusion of asymptotic weight as a random effect was considered the best-fitting model because it reduced the residual variance and increased the accuracy. Based on the lower absolute growth rate and growth velocity of male quails compared to that of females, it can be inferred that males should be slaughtered later. Given the results of this study, it can contribute to the current knowledge about animal yield, specifically at the best moment to slaughter and, this sense, improv the quality genetic of the populations in time. |
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Thesagro: |
Abate; Codorna. |
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Thesaurus Nal: |
Coturnix coturnix; Nonlinear models; Quails. |
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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/doc/1158924/1/Growth-curve-mixed.pdf
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Marc: |
LEADER 02185naa a2200313 a 4500
001 2158924
005 2023-11-30
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/ 10.1371/journal.pone.0287056$2DOI
100 1 $aCAMARGO JÚNIOR, R. N. C.
245 $aGrowth curve mixed nonlinear models in quails.$h[electronic resource]
260 $c2023
520 $aOur aim was to evaluate the use and application of different nonlinear mixed models, as well as to compare them with approach in nonlinear fixed models, for describing the growth curve of meat-type quails according to gender. A total of 15,002 and 15,408 records of males and females were used, respectively. The body weights were regressed on age of the animals using nonlinear models (Brody; Gompertz; Logistic, Morgan-Mercer-Flodin, Richards and Von Bertalanffy). All model parameters were considered fixed, whereas parameters related to asymptotic weight and maturity rate were fitted as random effects. The Bayesian Information Criterion was used to find the model of best fit. For both genders, the model that used the Morgan-Mercer-Flodin function with the inclusion of asymptotic weight as a random effect was considered the best-fitting model because it reduced the residual variance and increased the accuracy. Based on the lower absolute growth rate and growth velocity of male quails compared to that of females, it can be inferred that males should be slaughtered later. Given the results of this study, it can contribute to the current knowledge about animal yield, specifically at the best moment to slaughter and, this sense, improv the quality genetic of the populations in time.
650 $aCoturnix coturnix
650 $aNonlinear models
650 $aQuails
650 $aAbate
650 $aCodorna
700 1 $aARAÚJO, C. V. de
700 1 $aMENEZES, F. L. de
700 1 $aARAÚJO, S. I.
700 1 $aPAVAN, N. L.
700 1 $aROCHA-SILVA, M.
700 1 $aSILVA, W. C. da
700 1 $aMARQUES, J. R. F.
700 1 $aSILVA, A. G. M. e
700 1 $aCHALKIDIS, H. de M.
700 1 $aLOURENÇO JÚNIOR, J. de B.
773 $tPLoS ONE$gv. 18, n. 6, p. e0287056, 2023.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
23/10/2012 |
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Data da última atualização: |
20/02/2015 |
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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: |
OLIVEIRA, E. J. de; RESENDE, M. D. V. de; SANTOS, V. da S.; FERREIRA, C. F.; OLIVEIRA, G. A. F.; SILVA, M. S. da; OLIVEIRA, L. A. de; AGUILAR-VILDOSO, C. I. |
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Afiliação: |
EDER JORGE DE OLIVEIRA, CNPMF; MARCOS DEON VILELA DE RESENDE, CNPF; VANDERLEI DA SILVA SANTOS, CNPMF; CLAUDIA FORTES FERREIRA, CNPMF; GILMARA ALVARENGA FACHARDO OLIVEIRA, Universidade Federal do Recôncavo da Bahia; MAIANE SUZARTE DA SILVA, Universidade Federal do Recôncavo da Bahia; LUCIANA ALVES DE OLIVEIRA, CNPMF; CARLOS IVAN AGUILAR-VILDOSO, Bolsista CNPQ/CNPMF. |
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Título: |
Genome-wide selection in cassava. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Euphytica, v.187, p. 263-276, 2012. |
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Idioma: |
Inglês |
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Conteúdo: |
The main objective of this study was to estimate the selection accuracy and to predict the genetic gain in cassava breeding using genomic selection methodologies. We evaluated 358 cassava genotypes for the following traits: shoot weight (SW), fresh root yield (FRY), starch fraction amylose content (AC), dry matter content (DMC), and starch yield (S-Y). Genotyping was performed using 390 single nucleotide polymorphisms (SNPs), which were used as covariates in the random regression-best linear unbiased prediction model for genomic selection. The heritability values detected by markers for the SW, FRY, AC, DMC, and S-Y traits were 0.25, 0.25, 0.03, 0.20, and 0.26, respectively. Because the low heritability detected for AC, this trait was eliminated from further analysis. Using only the most informative SNPs (118, 92, 56, and 97 SNPs for SW, FRY, DMC, and S-Y, respectively) we observed higher selection accuracy which were 0.83, 0.76, 0.67, and 0.77, respectively to SW, FRY, DMC, and S-Y. With these levels of accuracy and considering a selection cycle reduced by half the time, the theoretical gains with genomic selection compared to phenotypic selection for DMC, FRY, and SW would be 39.42 %, 56.90 %, and 73.96 %, respectively. These results indicate that in the cassava, genomic selection can substantially speed up selection cycles, thereby increasing gains per unit time. Although there are high expectations for incorporating this strategy into breeding programs, we still need to validate the model for other traits and evaluate whether the selection accuracy can be improved using more SNPs. MenosThe main objective of this study was to estimate the selection accuracy and to predict the genetic gain in cassava breeding using genomic selection methodologies. We evaluated 358 cassava genotypes for the following traits: shoot weight (SW), fresh root yield (FRY), starch fraction amylose content (AC), dry matter content (DMC), and starch yield (S-Y). Genotyping was performed using 390 single nucleotide polymorphisms (SNPs), which were used as covariates in the random regression-best linear unbiased prediction model for genomic selection. The heritability values detected by markers for the SW, FRY, AC, DMC, and S-Y traits were 0.25, 0.25, 0.03, 0.20, and 0.26, respectively. Because the low heritability detected for AC, this trait was eliminated from further analysis. Using only the most informative SNPs (118, 92, 56, and 97 SNPs for SW, FRY, DMC, and S-Y, respectively) we observed higher selection accuracy which were 0.83, 0.76, 0.67, and 0.77, respectively to SW, FRY, DMC, and S-Y. With these levels of accuracy and considering a selection cycle reduced by half the time, the theoretical gains with genomic selection compared to phenotypic selection for DMC, FRY, and SW would be 39.42 %, 56.90 %, and 73.96 %, respectively. These results indicate that in the cassava, genomic selection can substantially speed up selection cycles, thereby increasing gains per unit time. Although there are high expectations for incorporating this strategy into breeding programs, we still need to ... Mostrar Tudo |
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Thesagro: |
Mandioca; Seleção Genética. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02235naa a2200229 a 4500
001 1937665
005 2015-02-20
008 2012 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, E. J. de
245 $aGenome-wide selection in cassava.$h[electronic resource]
260 $c2012
520 $aThe main objective of this study was to estimate the selection accuracy and to predict the genetic gain in cassava breeding using genomic selection methodologies. We evaluated 358 cassava genotypes for the following traits: shoot weight (SW), fresh root yield (FRY), starch fraction amylose content (AC), dry matter content (DMC), and starch yield (S-Y). Genotyping was performed using 390 single nucleotide polymorphisms (SNPs), which were used as covariates in the random regression-best linear unbiased prediction model for genomic selection. The heritability values detected by markers for the SW, FRY, AC, DMC, and S-Y traits were 0.25, 0.25, 0.03, 0.20, and 0.26, respectively. Because the low heritability detected for AC, this trait was eliminated from further analysis. Using only the most informative SNPs (118, 92, 56, and 97 SNPs for SW, FRY, DMC, and S-Y, respectively) we observed higher selection accuracy which were 0.83, 0.76, 0.67, and 0.77, respectively to SW, FRY, DMC, and S-Y. With these levels of accuracy and considering a selection cycle reduced by half the time, the theoretical gains with genomic selection compared to phenotypic selection for DMC, FRY, and SW would be 39.42 %, 56.90 %, and 73.96 %, respectively. These results indicate that in the cassava, genomic selection can substantially speed up selection cycles, thereby increasing gains per unit time. Although there are high expectations for incorporating this strategy into breeding programs, we still need to validate the model for other traits and evaluate whether the selection accuracy can be improved using more SNPs.
650 $aMandioca
650 $aSeleção Genética
700 1 $aRESENDE, M. D. V. de
700 1 $aSANTOS, V. da S.
700 1 $aFERREIRA, C. F.
700 1 $aOLIVEIRA, G. A. F.
700 1 $aSILVA, M. S. da
700 1 $aOLIVEIRA, L. A. de
700 1 $aAGUILAR-VILDOSO, C. I.
773 $tEuphytica$gv.187, p. 263-276, 2012.
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