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Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
29/09/2011 |
Data da última atualização: |
29/09/2011 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ABREU, V. M. N.; PAIVA, D. P. de; ABREU, P. G. de; COLDEBELLA, A. |
Afiliação: |
VALERIA MARIA NASCIMENTO ABREU, CNPSA; DORALICE PEDROSO DE PAIVA; PAULO GIOVANNI DE ABREU, CNPSA; ARLEI COLDEBELLA, CNPSA. |
Título: |
Evaluation of litter material and ventilation systems in poultry production: III. litter reuse, darkling beetle populations and intestinal parasites. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Revista Brasileira de Zootecnia, Viçosa, v. 40, n. 6, p. 1372-1380, 2011. |
Idioma: |
Inglês |
Notas: |
Projeto: 03.05.01.021. |
Palavras-Chave: |
Cama. |
Thesagro: |
Adubo Orgânico; Aviário; Frango de Corte; Temperatura; Ventilação. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42604/1/Evaluation-of-litter-material-3.pdf
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Marc: |
LEADER 00756naa a2200229 a 4500 001 1901726 005 2011-09-29 008 2011 bl uuuu u00u1 u #d 100 1 $aABREU, V. M. N. 245 $aEvaluation of litter material and ventilation systems in poultry production$bIII. litter reuse, darkling beetle populations and intestinal parasites.$h[electronic resource] 260 $c2011 500 $aProjeto: 03.05.01.021. 650 $aAdubo Orgânico 650 $aAviário 650 $aFrango de Corte 650 $aTemperatura 650 $aVentilação 653 $aCama 700 1 $aPAIVA, D. P. de 700 1 $aABREU, P. G. de 700 1 $aCOLDEBELLA, A. 773 $tRevista Brasileira de Zootecnia, Viçosa$gv. 40, n. 6, p. 1372-1380, 2011.
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Embrapa Suínos e Aves (CNPSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
23/10/2012 |
Data da última atualização: |
20/02/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
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. |
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. |
Título: |
Genome-wide selection in cassava. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Euphytica, v.187, p. 263-276, 2012. |
Idioma: |
Inglês |
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 |
Thesagro: |
Mandioca; Seleção Genética. |
Categoria do assunto: |
-- |
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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