549 resultados para beef cattle heritability
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Estimou-se a herdabilidade da idade ao primeiro parto (IPP) a partir de quatro conjuntos com diferentes tipos de informação. A primeira estimativa (IPP1) foi realizada com as novilhas (n= 6.222) expostas apenas na estação normal, ou seja, aos 24 meses de idade. No segundo conjunto (IPP2), fizeram parte do arquivo todas as fêmeas (n= 15.746) com informação da IPP. No terceiro (IPP3), estimou-se a herdabilidade de um grupo mais restrito de novilhas (n= 9.524), as quais tiveram manejo diferenciado na fazenda; todas as fêmeas pertencentes a este grupo foram expostas mais cedo à reprodução, aproximadamente 18 meses de idade (estação de monta antecipada). Para o quarto grupo (IPP4), usou-se o arquivo completo de dados, ou seja, os registros de todas as fêmeas nascidas no rebanho (n= 40.954). Foram considerados no modelo o efeito aleatório de animal e os efeitos fixos de grupo contemporâneo e os efeitos linear e quadrático de idade da mãe ao parto. As herdabilidades estimadas para IPP1, IPP2, IPP3 e IPP4 foram, respectivamente, 0,00; 0,11; 0,20 e 0,36.
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Estimaram-se parâmetros genéticos e de ambiente para perímetro escrotal ao sobreano (PE) de 9.355 animais da raça Nelore. Foram considerados no modelo o efeito aleatório de animal e os efeitos fixos de grupo contemporâneo (GC) e os efeitos linear e quadrático das covariáveis idade ao sobreano (IDS) e peso ao sobreano ajustado aos 550 dias de idade (PSAJ). O grupo contemporâneo foi definido pelas variáveis: ano, estação e fazenda de nascimento, grupo de manejo ao nascimento, desmama e sobreano. As estimativas de herdabilidade foram 0,42 ± 0,04, quando considerados PSAJ e IDS como covariáveis; 0,41± 0,04, considerando-se PSAJ como covariável; e 0,35 ± 0,03, com apenas IDS como covariável.
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Estimaram-se parâmetros genéticos para idade ao primeiro parto (IPP) de, aproximadamente, 6.000 novilhas, utilizando-se três diferentes definições de grupo contemporâneo (GC). Foram considerados no modelo o efeito aleatório de animal e os efeitos fixos de GC, além dos efeitos linear e quadrático da idade da mãe da novilha ao parto (IDV). A primeira definição de grupo contemporâneo (GC1) considerou as variáveis fazenda, ano, estação de nascimento, grupo de manejo de nascimento, desmama e sobreano e tipo de serviço (monta natural, monta controlada ou inseminação artificial). A segunda definição de grupo contemporâneo (GC2) incluiu as mesmas variáveis de GC1, além de ano e estação do parto. A terceira definição de grupo contemporâneo considerou as variáveis ano e estação de nascimento, fazenda, ano e estação do parto e tipo de cobertura. As estimativas de herdabilidade para IPP foram de 0,16 ± 0,03, 0,09 ± 0,03 e 0,11 ± 0,02, considerando-se GC1, GC2 e GC3, respectivamente.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Os dados são relativos aos pesos de animais da raça Tabapuã, nascidos no período de 1959 a 1996 em várias regiões brasileiras. As observações foram analisadas com o objetivo de avaliar as mudanças genéticas aditivas diretas e maternas dos pesos padronizados para 205 (P205), 365 (P365) e 550 (P550) dias de idade. As estimativas dos componentes de (co) variância utilizadas no cálculo dos valores genéticos foram obtidas pelo método de máxima verossimilhança restrita livre de derivadas (REML), usando o aplicativo MTDFREML, cujo modelo continha os efeitos aleatórios aditivo direto, materno e de ambiente permanente, além dos efeitos fixos de grupo de contemporâneos (unidade da federação, fazenda, sexo, estação e ano de nascimento do animal) e a covariável idade da vaca ao parto (efeitos linear e quadrático). As tendências genéticas dos efeitos genéticos direto e materno foram estimadas pela regressão, ponderada, das médias anuais dos valores genéticos dos animais. As tendências genéticas dos efeitos direto no período estudado foram 0,134 ; 0,207, e 0,276 kg/ano, para P205, P365 e P550, respectivamente. Ainda para os três pesos, na mesma ordem, as estimativas das tendências genéticas maternas foram 0,019; -0,011; e -0,022 kg/ano. em virtude da variação genética existente, os resultados observados estão bem aquém das mudanças possíveis.
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This study aimed to use the generalized linear models with probit and logit link function to evaluate early pregnancy, and to observe the effects on genetic variability and on sire selection when different ages are adopted in the definition of this trait. Early pregnancy was studied at 15 (EP15), and 21 (EP21) months. The analysis was done in R software. Pearson correlations (PC), between genetic predicted values and percentage of bulls in common considering only 10% of bulls with higher genetic values (TOP 10), between classification by logit and probit models and in each model among EP15 and EP21, were calculated. The heritability for EP15 and EP21 were close between models, except for EP15 using probit link function. PC and TOP10 among models were high. The Akaike and Bayesian criteria reported was similar between models. TOP10, considering the same model, among EP15-EP21 were moderated between EP15-EP21.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Heritability estimates and genetic correlations were obtained for body weight and scrotal circumference, adjusted, respectively, to 12 (BW12 and SC12) and 18 (BW18 and SC18) months of age, for 10 742 male Nellore cattle. The adjustments to SC12 and SC18 were made using a nonlinear logistic function, while BW12 and BW18 were obtained by linear adjustment. The contemporary groups (CGs) were defined from animals born on the same farm, in the same year and birth season. The mean heritability estimates obtained using the restricted maximum likelihood method in bi-trait analysis were 0.25, 0.25, 0.29 and 0.42 for BW12 BW18, SC12 and SC18, respectively. The genetic correlations were 0.30 +/- 0.11, 0.21 +/- 0.13, 0.21 +/- 0.11, -0.08 +/- 0.15, 0.16 +/- 0.12 and 0.89 +/- 0.04 between the traits BW12 and BW18; BW12 and SC12; BW12 and SC18; BW18 and SC12; BW18 and SC18; and SC12 and SC18. The heritability for SC18 was considerably greater than for SC12 suggesting that this should be included as a selection criterion. The genetic correlation between BW18 and SC12 was close to zero, indicating that these traits did not influence each other The contrary occurred between SC12 and SC18, indicating that selection using one of these could alter the other Because of the mean magnitudes of heritabilities in the various measurements of weight and scrotal perimeter it is suggested that the practice of individual selection for these traits is possible.
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Mature weight breeding values were estimated using a multi-trait animal model (MM) and a random regression animal model (RRM). Data consisted of 82 064 weight records from 8 145 animals, recorded from birth to eight years of age. Weights at standard ages were considered in the MM. All models included contemporary groups as fixed effects, and age of dam (linear and quadratic effects) and animal age as covariates. In the RRM, mean trends were modelled through a cubic regression on orthogonal polynomials of animal age and genetic maternal and direct and maternal permanent environmental effects were also included as random. Legendre polynomials of orders 4, 3, 6 and 3 were used for animal and maternal genetic and permanent environmental effects, respectively, considering five classes of residual variances. Mature weight (five years) direct heritability estimates were 0.35 (MM) and 0.38 (RRM). Rank correlation between sires' breeding values estimated by MM and RRM was 0.82. However, selecting the top 2% (12) or 10% (62) of the young sires based on the MM predicted breeding values, respectively 71% and 80% of the same sires would be selected if RRM estimates were used instead. The RRM modelled the changes in the (co)variances with age adequately and larger breeding value accuracies can be expected using this model. © South African Society for Animal Science.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The total meat yield in a beef cattle production cycle is economically very important and depends on the number of calves born per year or birth season, being directly related to reproductive potential. Accumulated Productivity (ACP) is an index that expresses a cow's capacity to give birth regularly at a young age and to wean animals of greater body weight. Using data from cattle participating in the "Program for Genetic Improvement of the Nelore Breed" (PMGRN - Nelore Brasil), bi-trait analyses were performed using the Restricted Maximum Likelihood method based on an ACP animal model and the following traits: age at first calving (AFC), female body weight adjusted for 365 (BW365) and 450 (BW450) days of age, and male scrotal circumference adjusted for 365 (SC365), 450 (SC450), 550 (SC550) and 730 (SC730) days of age. Median estimated ACP heritability was 0.19 and the genetic correlations with AFC, BW365, BW450, SC365, SC450, SC550 and SC730 were 0.33, 0.70, 0.65, 0.08, 0.07, 0.12 and 0.16, respectively. ACP increased and AFC decreased over time, revealing that the selection criteria genetically improved these traits. Selection based on ACP appears to favor the heaviest females at 365 and 450 days of age who showed better reproductive performance as regards AFC. Scrotal circumference was not genetically associated with ACP. (C) 2007 Elsevier B.V. All rights reserved.
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Genetic parameters were estimated for pre-weaning average daily gain (ADG) and number of days to gain 160 kg from birth to weaning (D 160) of Nelore cattle. Ranks of animals were compared for these traits. Heritability estimates were 0.17 and 0.10 for ADG (direct and maternal), and 0.14 and 0.09, for D 160 (direct and maternal). Rank correlations between expected breeding values (EBV) were 0.97 and 0.95, for direct and maternal effects, respectively. Despite similar heritability estimates and high rank correlations, results showed that changes in rank could happen when choosing the best animals according to EBV for D 160 or ADG. There were evidences that sires selected using D 160 would produce progeny that achieve a specified market weight at an earlier age and would be more uniform, since this criterion is calculated as a harmonic mean function. (C) 2003 Elsevier B.V. All rights reserved.
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Data comprising 53,181 calving records were analyzed to estimate the genetic correlation between days to calving (DC), and days to first calving (DFC), and the following traits: scrotal circumference (SC), age at first calving (AFC), and weight adjusted for 550 d of age (W550) in a Nelore herd. (Co)variance components were estimated using the REML method fitting bivariate animal models. The fixed effects considered for DC were contemporary group, month of last calving, and age at breeding season (linear and quadratic effects). Contemporary groups were composed by herd, year, season, and management group at birth; herd and management group at weaning; herd, season, and management group at mating; and sex of calf and mating type (multiple sires, single sire, or AI). In DFC analysis, the same fixed effects were considered excluding the month of last calving. For DC, a repeatability animal model was applied. Noncalvers were not considered in analyses because an attempt to include them, attributing a penalty, did not improve the identification of genetic differences between animals. Heritability estimates ranged from 0.04 to 0.06 for DC, from 0.06 to 0.13 for DFC, from 0.42 to 0.44 for SC, from 0.06 to 0.08 for AFC, and was 0.30 for W550. The genetic correlation estimated between DC and SC was low and negative (-0.10), between DC and AFC was high and positive (0.76), and between DC and W550 was almost null (0.07). Similar results were found for genetic correlation estimates between DFC and SC (-0.14), AFC (0.94), and W550 (-0.02). The genetic correlation estimates indicate that the use of DC in the selection of beef cattle may promote favorable correlated responses to age at first mating and, consequently, higher gains in sexual precocity can be expected.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)