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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
17/11/2011 |
Data da última atualização: |
11/10/2017 |
Tipo da produção científica: |
Nota Técnica/Nota Científica |
Autoria: |
SILVA, F. F.; VARONA, L.; RESENDE, M. D. V. de; BUENO FILHO, J. S. S.; ROSA, G. J. M.; VIANA, J. M. S. |
Afiliação: |
Fabyano Fonseca Silva, UFV; Luis Varona, Universidad de Zaragoza; MARCOS DEON VILELA DE RESENDE, CNPF; Júlio Sílvio S. Bueno Filho, UFLA; Guilherme J. M. Rosa, University of Wisconsin; José Marcelo Soriano Viana, UFV. |
Título: |
A note on accuracy of Bayesian LASSO regression in GWS. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Livestock Science, v. 142, p. 310-314, 2011. |
DOI: |
10.1016/j.livsci.2011.09.010 |
Idioma: |
Inglês |
Notas: |
Short communication. |
Conteúdo: |
Several genome wide selection (GWS) statistical methods have been proposed in the last years, and among these stands out the Bayesian LASSO (BL), which is a penalized regression method based on the regularization parameter (?) estimates. In general, the posterior mean values for ? are those that minimize the residual sum of squares (RSS) while controlling the L1 norm (absolute values) of the regression coefficients. However, another option is to use fixed values of ?, which is independent of this minimization process. Nevertheless, the most important aim of GWS is to make predictions about genomic breeding values (GBV=u) for individuals that have not been measured directly for the trait, and for this reason the parameter to maximize should be the accuracy (ru; ?u ). Thus, a question can arise as to whether such estimated ? values that minimize RSS are the same as that which maximize ru; ?u . In order to answer this question, this paper aims to provide methodological and computational resources in order to evaluate the influence of BL regularization parameter estimates on the correlation between true and estimated GBV (accuracy) depending on genetic structure of the target trait (few or many QTLs and low or medium heritability). In general, it is possible to report, on average, that GBV prediction is robust in relation to the ? estimation, since the different values for ? lead to similar accuracy values. Moreover, the fixed ? values grid request high computational costs, implying that the random ? method is more attractive, since it is much faster to use just one Gibbs sampler run, while the grid must to use one run for each fixed ? value. MenosSeveral genome wide selection (GWS) statistical methods have been proposed in the last years, and among these stands out the Bayesian LASSO (BL), which is a penalized regression method based on the regularization parameter (?) estimates. In general, the posterior mean values for ? are those that minimize the residual sum of squares (RSS) while controlling the L1 norm (absolute values) of the regression coefficients. However, another option is to use fixed values of ?, which is independent of this minimization process. Nevertheless, the most important aim of GWS is to make predictions about genomic breeding values (GBV=u) for individuals that have not been measured directly for the trait, and for this reason the parameter to maximize should be the accuracy (ru; ?u ). Thus, a question can arise as to whether such estimated ? values that minimize RSS are the same as that which maximize ru; ?u . In order to answer this question, this paper aims to provide methodological and computational resources in order to evaluate the influence of BL regularization parameter estimates on the correlation between true and estimated GBV (accuracy) depending on genetic structure of the target trait (few or many QTLs and low or medium heritability). In general, it is possible to report, on average, that GBV prediction is robust in relation to the ? estimation, since the different values for ? lead to similar accuracy values. Moreover, the fixed ? values grid request high computational costs, impl... Mostrar Tudo |
Palavras-Chave: |
Genome wide selection; Penalized regression; SNP markers. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02366naa a2200241 a 4500 001 1906248 005 2017-10-11 008 2011 bl uuuu u00u1 u #d 024 7 $a10.1016/j.livsci.2011.09.010$2DOI 100 1 $aSILVA, F. F. 245 $aA note on accuracy of Bayesian LASSO regression in GWS.$h[electronic resource] 260 $c2011 500 $aShort communication. 520 $aSeveral genome wide selection (GWS) statistical methods have been proposed in the last years, and among these stands out the Bayesian LASSO (BL), which is a penalized regression method based on the regularization parameter (?) estimates. In general, the posterior mean values for ? are those that minimize the residual sum of squares (RSS) while controlling the L1 norm (absolute values) of the regression coefficients. However, another option is to use fixed values of ?, which is independent of this minimization process. Nevertheless, the most important aim of GWS is to make predictions about genomic breeding values (GBV=u) for individuals that have not been measured directly for the trait, and for this reason the parameter to maximize should be the accuracy (ru; ?u ). Thus, a question can arise as to whether such estimated ? values that minimize RSS are the same as that which maximize ru; ?u . In order to answer this question, this paper aims to provide methodological and computational resources in order to evaluate the influence of BL regularization parameter estimates on the correlation between true and estimated GBV (accuracy) depending on genetic structure of the target trait (few or many QTLs and low or medium heritability). In general, it is possible to report, on average, that GBV prediction is robust in relation to the ? estimation, since the different values for ? lead to similar accuracy values. Moreover, the fixed ? values grid request high computational costs, implying that the random ? method is more attractive, since it is much faster to use just one Gibbs sampler run, while the grid must to use one run for each fixed ? value. 653 $aGenome wide selection 653 $aPenalized regression 653 $aSNP markers 700 1 $aVARONA, L. 700 1 $aRESENDE, M. D. V. de 700 1 $aBUENO FILHO, J. S. S. 700 1 $aROSA, G. J. M. 700 1 $aVIANA, J. M. S. 773 $tLivestock Science$gv. 142, p. 310-314, 2011.
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Embrapa Florestas (CNPF) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Agrossilvipastoril. Para informações adicionais entre em contato com cpamt.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agrossilvipastoril. |
Data corrente: |
06/03/2017 |
Data da última atualização: |
04/10/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GIUSTINA, C. D.; MONTEIRO, R. A. C.; ROMANO, M. R.; CARVALHO, C. A. B. de. |
Afiliação: |
CAROLINA DELLA GIUSTINA, UFRRJ; ROBERTA APARECIDA C MONTEIRO, CPAMT; MARCELO RIBEIRO ROMANO, CNPMF; CARLOS AUGUSTO BRANDÃO DE CARVALHO, UFRRJ. |
Título: |
Size of fruit trees in final implementation phase of silvopastoral system for dairy calves. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 53., 2016, Gramado. Produção animal para as novas gerações: anais. Gramado: SBZ, 2016. Não paginado. |
Idioma: |
Inglês |
Conteúdo: |
The tree growth rate in the implementation phase of silvopastoral system can determine a successful system. Thus, the fastest fruit tree species are more interesting because the animal input happens earlier. So, the knowledge about the size of fruit tree species after implementation period defines the suitable time to introduce animals into the system. The experiment was carried out at Embrapa, Sinop-MT, Brazil. The silvopastoral systems were implemented in October, 2013 and the evaluations were made in July, 2015, when the trees were 21 months old. A completely randomized block design was adopted, with two replications of area per treatment. The fruit tree species were cajá; red guava; cashew var. CCP76 and EMB51; acerola var. Roxinha and Sertaneja. The measurements were canopy height, trunk height and diameter using a 3-m graduated rule and digital caliper rule. The canopy height corresponded the distance from the base (soil level) to the top of canopy. The trunk height was the distance from the soil level to the base of the canopy and, finally, the trunk diameter was taken in the base close to soil level. The analysis of variance was performed using the PROC Mixed procedure. Means were compared using PDIFF at 5% probability. The software utilized for statistical analysis was SAS 9.2. The guava tree showed the greatest height (231 ± 14 cm) (P=0.0004), followed by cashew EMB51 (180 ± 14 cm), and other species had similar canopy height (154 ± 14 cm) in July 2015. Red guava tree also had a trunk taller, similar to cashews and cajá (48 ± 5 cm) (P=0.1464). However, the red guava tree showed an intermediate trunk diameter (53 ± 5 cm) when compared to cashew EMB51 and cajá tree (64 ± 5 mm) (P=0.0005). The acerola trees were similar to red guava tree, trunks thinner. Porfírio-da-Silva et al. (2012) showed that plants with a trunk diameter bellow 62 mm were more vulnerable to animal presence than trees thicker. Additionally, Zanotti et al. (2015) cited that the height withers in 3 months old dairy heifers were 1.023 m. So, in all of 21 months old fruit trees, dairy heifers would reach the canopy if they want. But, just cajá tree and cashew EMB51 could suffer fewer damages. The other species should grow more time to support the animal presence. A caveat must be considered is cajá tree lost its leaves in early part of dry season in the 2 years evaluated. So, the cajá without leaves in dry season could not offer shade for animals in this period. MenosThe tree growth rate in the implementation phase of silvopastoral system can determine a successful system. Thus, the fastest fruit tree species are more interesting because the animal input happens earlier. So, the knowledge about the size of fruit tree species after implementation period defines the suitable time to introduce animals into the system. The experiment was carried out at Embrapa, Sinop-MT, Brazil. The silvopastoral systems were implemented in October, 2013 and the evaluations were made in July, 2015, when the trees were 21 months old. A completely randomized block design was adopted, with two replications of area per treatment. The fruit tree species were cajá; red guava; cashew var. CCP76 and EMB51; acerola var. Roxinha and Sertaneja. The measurements were canopy height, trunk height and diameter using a 3-m graduated rule and digital caliper rule. The canopy height corresponded the distance from the base (soil level) to the top of canopy. The trunk height was the distance from the soil level to the base of the canopy and, finally, the trunk diameter was taken in the base close to soil level. The analysis of variance was performed using the PROC Mixed procedure. Means were compared using PDIFF at 5% probability. The software utilized for statistical analysis was SAS 9.2. The guava tree showed the greatest height (231 ± 14 cm) (P=0.0004), followed by cashew EMB51 (180 ± 14 cm), and other species had similar canopy height (154 ± 14 cm) in July 2015. Red guava t... Mostrar Tudo |
Palavras-Chave: |
Red guava. |
Thesagro: |
Acerola; Cajá; Fruta tropical. |
Thesaurus NAL: |
Cashew fruit; Diameter; Height. |
Categoria do assunto: |
-- |
Marc: |
LEADER 03262nam a2200229 a 4500 001 2066268 005 2020-10-04 008 2016 bl uuuu u01u1 u #d 100 1 $aGIUSTINA, C. D. 245 $aSize of fruit trees in final implementation phase of silvopastoral system for dairy calves.$h[electronic resource] 260 $aIn: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 53., 2016, Gramado. Produção animal para as novas gerações: anais. Gramado: SBZ, 2016. Não paginado.$c2016 520 $aThe tree growth rate in the implementation phase of silvopastoral system can determine a successful system. Thus, the fastest fruit tree species are more interesting because the animal input happens earlier. So, the knowledge about the size of fruit tree species after implementation period defines the suitable time to introduce animals into the system. The experiment was carried out at Embrapa, Sinop-MT, Brazil. The silvopastoral systems were implemented in October, 2013 and the evaluations were made in July, 2015, when the trees were 21 months old. A completely randomized block design was adopted, with two replications of area per treatment. The fruit tree species were cajá; red guava; cashew var. CCP76 and EMB51; acerola var. Roxinha and Sertaneja. The measurements were canopy height, trunk height and diameter using a 3-m graduated rule and digital caliper rule. The canopy height corresponded the distance from the base (soil level) to the top of canopy. The trunk height was the distance from the soil level to the base of the canopy and, finally, the trunk diameter was taken in the base close to soil level. The analysis of variance was performed using the PROC Mixed procedure. Means were compared using PDIFF at 5% probability. The software utilized for statistical analysis was SAS 9.2. The guava tree showed the greatest height (231 ± 14 cm) (P=0.0004), followed by cashew EMB51 (180 ± 14 cm), and other species had similar canopy height (154 ± 14 cm) in July 2015. Red guava tree also had a trunk taller, similar to cashews and cajá (48 ± 5 cm) (P=0.1464). However, the red guava tree showed an intermediate trunk diameter (53 ± 5 cm) when compared to cashew EMB51 and cajá tree (64 ± 5 mm) (P=0.0005). The acerola trees were similar to red guava tree, trunks thinner. Porfírio-da-Silva et al. (2012) showed that plants with a trunk diameter bellow 62 mm were more vulnerable to animal presence than trees thicker. Additionally, Zanotti et al. (2015) cited that the height withers in 3 months old dairy heifers were 1.023 m. So, in all of 21 months old fruit trees, dairy heifers would reach the canopy if they want. But, just cajá tree and cashew EMB51 could suffer fewer damages. The other species should grow more time to support the animal presence. A caveat must be considered is cajá tree lost its leaves in early part of dry season in the 2 years evaluated. So, the cajá without leaves in dry season could not offer shade for animals in this period. 650 $aCashew fruit 650 $aDiameter 650 $aHeight 650 $aAcerola 650 $aCajá 650 $aFruta tropical 653 $aRed guava 700 1 $aMONTEIRO, R. A. C. 700 1 $aROMANO, M. R. 700 1 $aCARVALHO, C. A. B. de
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