Avaliação do coeficiente de variação como medida da precisão em experimentos com frangos de corte

Mohallem, D.F.; Tavares, Marcelo; Silva, P.L.; Guimarães, E. C.; Freitas, R.F.

doi:10.1590/s0102-09352008000200026

Cited by 26 publications

(33 citation statements)

References 2 publications

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“…Traits showed coefficients of variation higher than averages observed by Mohallem et al (2008) (Table 4), which is due to the elevated effect of sex, family and hatch, but that is mainly due to the fact of dealing with an F2 population originating from crossing phenotypically distinct lines. Differences between minimal and maximal values were expected and desired, since variability in the F2 population is needed to map QTL.…”

Section: Resultsmentioning

confidence: 71%

“…Furthermore, a QTL for heart weight was mapped at this region at 74cM (Table 5). Evidence from Navarro et al (2005) indicates QTL for heart weight near this region. Since there was no reduction in nominal probability, it is possible that this QTL also has an effect on some other trait(s) that contribute to the variation explained by this principal component.…”

Section: Resultsmentioning

confidence: 98%

“…This component was mainly influenced by heart and gizzard weights (Table 3) which did not have any QTL in this region of GGA1. It is possible that this QTL has a pleiotropic effect on these two traits, although Navarro et al (2005) mapped QTL only for gizzard weight in this same region. Consequently, inclusion of more markers in this region of GGA1 or increasing the F2 population may help make the effects of this QTL clear.…”

Section: Resultsmentioning

confidence: 99%

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Mapping quantitative trait loci in Gallus gallus using principal components

Pinto¹,

Packer²,

Ledur

et al. 2010

R. Bras. Zootec.

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-This study aimed at mapping QTL (quantitative trait loci) using linear combinations of characteristics of economical interest in Gallus gallus. A total of 350 F2 chickens from an initial crossing among males from a broiler line (TT) with females from a layer line (CC) were used. It was conducted a QTL mapping in chromosomes of Gallus gallus (GGA1, GGA3, GGA5, GGA8, GGA11, and GGA13) for 20 performance and carcass traits. For detecting QTL, it was used the likelihood ratio test between a reduced model (including fixed effects of sex, hatch and random effect of infinitesimal genetic value) and a full model (including all the previous effects plus QTL effects). When original characterists were analyzed, that is, before the formation of linear combinations, six significant QTLs were mapped at 1% in the genome, four in the GGA1 (live weight at 35 days of age and at 42 days of age, abdominal fat and heart weight); and two on GGA3 (live weight at 35 and 42 days of age); three significant QTLs at 5% in the genome, one on GGA1 (head weight), one on GGA3 (wings weight), and one on GGA8 (gizzard weight); besides seven suggestive linkages for several traits. When QTLs were mapped for principal components, many mapped QTLs were confirmed for original traits, in addition to finding three QTLs and eight suggestive linkages not mapped for the original traits. cromossomos Gallus gallus (GGA1, GGA3, GGA5, GGA8, GGA11 e GGA13), para 20 características de desempenho e de carcaça. Para detectar QTL foi utilizado o teste da razão de verossimilhanças entre um modelo reduzido (incluindo efeitos fixos de sexo, incubação e o efeito aleatório de valor genético infinitesimal) e um completo (incluindo todos os efeitos anteriores mais os efeitos de QTL). Ao analisar as características originais, ou seja, antes da formação das combinações lineares, foram mapeados seis QTLs significativos a 1% no genoma, quatro no GGA1 (peso vivo aos 35 dias, peso vivo aos 42 dias, gordura abdominal e peso do coração) e dois no GGA3 (peso vivo aos 35 e aos 42 dias de idade); três QTLs significativos a 5% no genoma, sendo um no GGA1 (peso da cabeça), um no GGA3 (peso das asas), e um no GGA8 (peso da moela); além de sete ligações sugestivas para diversas características. Ao mapear QTLs para os componentes principais, foram confirmados vários QTLs mapeados para as características originais, além de encontrar três QTLs e oito ligações sugestivas não mapeadas para as características originais.Palavras-chave: frangos, galinha, genoma, variáveis canônicas Revista Brasileira de Zootecnia

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Section: Resultsmentioning

confidence: 71%

Section: Resultsmentioning

confidence: 98%

Section: Resultsmentioning

confidence: 99%

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Mapping quantitative trait loci in Gallus gallus using principal components

Pinto¹,

Packer²,

Ledur

et al. 2010

R. Bras. Zootec.

View full text Add to dashboard Cite

show abstract

“…In the classification of Gomes (2000), a CV of 10% is considered as low, whereas in the present study it is considered very high for feed intake, egg production, eggshell thickness, and specific gravity, and very high for the remaining parameters. This stresses the importance of establishing specific CV classifications, as currently proposed for crops (Clemente & Muniz, 2002;Costa et al, 2002;Carvalho et al, 2003;Lima et al, 2004;Oliveira et al, 2009) and animal production (Judice et al, 1999;Judice et al, 2002;Lana et al, 2006;Mohallem et al, 2008), allowing researchers to verify the accuracy of their own results and of those published in literature.…”

Section: Resultsmentioning

confidence: 95%

“…CV classification ranges were already established for pigs (Judice et al, 1999), beef cattle (Judice et al, 2002), equine nutrition (Lana et al, 2006), and broilers (Mohallem et al, 2008). However, no CV classification was yet established for parameters commonly evaluated in studies with commercial layers.…”

Section: Introductionmentioning

confidence: 99%

Classification of coefficients of variation in experiments with commercial layers

Filho

Dias

Veloso

et al. 2010

Rev. Bras. Cienc. Avic.

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This study aimed at determining a specific classification of coefficients of variation in experiments with commercial layers. Coefficients of variation were collected from papers published in Brazilian journals between 2000 and 2009 for performance, internal egg quality, and eggshell quality parameters. The coefficients of variation of each parameter were classified as low, intermediate, high, and very high according to the ratio between the median and the pseudo-sigma. It was concluded that the parameters used in experiments with commercial layers have a specific classification of coefficients of variation, and that this must be considered to evaluate experimental accuracy.

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Microenvironmental sensitivity of body weight at harvest in Nile tilapia: Genetic parameters, performance test traits, and genetic variability

Campos,

Ribeiro,

Cardoso

et al. 2024

Aquaculture

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Avaliação do coeficiente de variação como medida da precisão em experimentos com frangos de corte

Abstract: Avaliação do coeficiente de variação como medida da precisão em experimentos com frangos de corte

Cited by 26 publications

References 2 publications

Mapping quantitative trait loci in Gallus gallus using principal components

Mapping quantitative trait loci in Gallus gallus using principal components

Classification of coefficients of variation in experiments with commercial layers

Microenvironmental sensitivity of body weight at harvest in Nile tilapia: Genetic parameters, performance test traits, and genetic variability

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