ABSTRACT
The productivity of herds may be negatively affected by inbreeding depression, and it is important to know how intense is this effect on the livestock performance. We performed a comprehensive analysis involving five Zebu breeds reared in Brazil to estimate inbreeding depression in productive and reproductive traits. Inbreeding depression was estimated for 13 traits by including the individual inbreeding rate as a linear covariate in the standard genetic evaluation models. For all breeds and for almost all traits (no effect was observed on gestation length), the performance of the animals was compromised by an increase in inbreeding. The average inbreeding depression was -0.222% and -0.859% per 1% of inbreeding for linear regression coefficients scaled on the percentage of mean (ßm ) and standard deviation (ßσ ), respectively. The means for ßm (and ßσ ) were -0.269% (-1.202%) for weight/growth traits and -0.174% (-0.546%) for reproductive traits. Hence, inbreeding depression is more pronounced in weight/growth traits than in reproductive traits. These findings highlight the need for the management of inbreeding in the respective breeding programmes of the breeds studied here.
Subject(s)
Cattle/classification , Cattle/genetics , Inbreeding , Meat , Milk , Animals , Brazil , Cattle/physiologyABSTRACT
The objective of the present study was to estimate the genetic parameters for test-day milk yields (TDMY) in the first and second lactations using random regression models (RRM) in order to contribute to the application of these models in genetic evaluation of milk yield in Gyr cattle. A total of 53,328 TDMY records from 7118 lactations of 5853 Gyr cows were analyzed. The model included the direct additive, permanent environmental, and residual random effects. In addition, contemporary group and linear and quadratic effects of the age of cows at calving were included as fixed effects. A random regression model fitting fourth-order Legendre polynomials for additive genetic and permanent environmental effects, with five classes of residual variance, was applied. In the first lactation, the heritabilities increased from early lactation (0.26) until TDMY3 (0.38), followed by a decrease until the end of lactation. In the second lactation, the estimates increased from the first (0.29) to the fifth test day (0.36), with a slight decrease thereafter, and again increased on the last two test days (0.34 and 0.41). There were positive and high genetic correlations estimated between first-lactation TDMY and the remaining TDMY of the two lactations. The moderate heritability estimates, as well as the high genetic correlations between half the first-lactation TDMY and all TDMY of the two lactations, suggest that the selection based only on first lactation TDMY is the best selection strategy to increase milk production across first and second lactations of Gyr cows.
Subject(s)
Lactation , Milk , Quantitative Trait, Heritable , Animals , Brazil , Cattle , Environment , Female , Gene-Environment Interaction , Genetic Association Studies , Lactation/genetics , Regression AnalysisABSTRACT
Random regression models (RRM) and multitrait models (MTM) were used to estimate genetic parameters for growth traits in Brazilian Brahman cattle and to compare the estimated breeding values obtained by these 2 methodologies. For RRM, 78,641 weight records taken between 60 and 550 d of age from 16,204 cattle were analyzed, and for MTM, the analysis consisted of 17,385 weight records taken at the same ages from 12,925 cattle. All models included the fixed effects of contemporary group and the additive genetic, maternal genetic, and animal permanent environmental effects and the quadratic effect of age at calving (AAC) as covariate. For RRM, the AAC was nested in the animal's age class. The best RRM considered cubic polynomials and the residual variance heterogeneity (5 levels). For MTM, the weights were adjusted for standard ages. For RRM, additive heritability estimates ranged from 0.42 to 0.75, and for MTM, the estimates ranged from 0.44 to 0.72 for both models at 60, 120, 205, 365, and 550 d of age. The maximum maternal heritability estimate (0.08) was at 140 d for RRM, but for MTM, it was highest at weaning (0.09). The magnitude of the genetic correlations was generally from moderate to high. The RRM adequately modeled changes in variance or covariance with age, and provided there was sufficient number of samples, increased accuracy in the estimation of the genetic parameters can be expected. Correlation of bull classifications were different in both methods and at all the ages evaluated, especially at high selection intensities, which could affect the response to selection.
Subject(s)
Body Weight/genetics , Cattle/growth & development , Cattle/genetics , Models, Genetic , Animals , Brazil , Breeding , Male , Phenotype , Regression Analysis , WeaningABSTRACT
O objetivo foi avaliar a associação genética entre os escores visuais de estrutura, precocidade e musculosidade, com as características peso aos 18 meses, ganho de peso diário e o perímetro escrotal em machos Nelore. Foram utilizados 7.256 registros de animais participantes de provas de ganho de peso. As estimativas dos componentes de (co)variâncias foram obtidas por meio de Máxima Verossimilhança Restrita, empregando-se um modelo animal. Os efeitos fixos de grupo contemporâneo, idade e peso como covariável linear foram considerados; o único efeito aleatório foi o genético aditivo direto. As estimativas de herdabilidade de estrutura, precocidade e musculosidade foram: 0,30; 0,37; 0,32, respectivamente. As estimativas das correlações genéticas entre os escores variaram de 0,76 a 0,95, indicando que os escores são controlados, em grande parte, pelo mesmo grupo de genes. As estimativas das correlações genéticas dos escores visuais com as características de ganho de peso diário, peso aos 18 meses e o perímetro escrotal apresentaram valores semelhantes entre os escores 0,45 a 0,50; 0,80 a 0,83 e -0,05 a -0,03, respectivamente; indicando que a seleção para os escores trará mudanças genéticas no mesmo sentido para o peso aos 18 meses e em menor medida para o ganho de peso.(AU)
The aim of this study was to evaluate the genetic association between visual scores of structure, finishing precocity and muscling with weight at 18 months, daily weight gain and scrotal circumference in male Nellore. A total of 7,256 records of animals participating in weight gain trials were used. The (co)variance components were estimated by restricted maximum likelihood, under an animal model. Contemporary group, age and weight as covariate linears were included as fixed effects. Additive genetic effects were the only random effect. The heritability estimates for structure, precocity and muscling were 0.30; 0.37 and 0.32 respectively. The genetic correlations between visual score were 0.76 to 0.95, indicating that the visual scores are controlled by the same set of genes, a fact making individual selection more complex. The visual scores showed similar genetic correlations with daily weight gain, weight at 18 months and scrotal circumference, ranging from 0.45 to 0.50, from 0.80 to 0.83 and from -0.05 to -0.03, respectively, indicating that individual selection for visual scores will result in genetic changes in the same direction in weight at 18 months and, to a lesser extent, in daily weight gain.(AU)
Subject(s)
Animals , Cattle , Molecular Sequence Annotation , Weight Gain/genetics , Likelihood Functions , Genetic Structures , Muscles , Genes, Immediate-EarlyABSTRACT
O objetivo foi avaliar a associação genética entre os escores visuais de estrutura, precocidade e musculosidade, com as características peso aos 18 meses, ganho de peso diário e o perímetro escrotal em machos Nelore. Foram utilizados 7.256 registros de animais participantes de provas de ganho de peso. As estimativas dos componentes de (co)variâncias foram obtidas por meio de Máxima Verossimilhança Restrita, empregando-se um modelo animal. Os efeitos fixos de grupo contemporâneo, idade e peso como covariável linear foram considerados; o único efeito aleatório foi o genético aditivo direto. As estimativas de herdabilidade de estrutura, precocidade e musculosidade foram: 0,30; 0,37; 0,32, respectivamente. As estimativas das correlações genéticas entre os escores variaram de 0,76 a 0,95, indicando que os escores são controlados, em grande parte, pelo mesmo grupo de genes. As estimativas das correlações genéticas dos escores visuais com as características de ganho de peso diário, peso aos 18 meses e o perímetro escrotal apresentaram valores semelhantes entre os escores 0,45 a 0,50; 0,80 a 0,83 e -0,05 a -0,03, respectivamente; indicando que a seleção para os escores trará mudanças genéticas no mesmo sentido para o peso aos 18 meses e em menor medida para o ganho de peso.
The aim of this study was to evaluate the genetic association between visual scores of structure, finishing precocity and muscling with weight at 18 months, daily weight gain and scrotal circumference in male Nellore. A total of 7,256 records of animals participating in weight gain trials were used. The (co)variance components were estimated by restricted maximum likelihood, under an animal model. Contemporary group, age and weight as covariate linears were included as fixed effects. Additive genetic effects were the only random effect. The heritability estimates for structure, precocity and muscling were 0.30; 0.37 and 0.32 respectively. The genetic correlations between visual score were 0.76 to 0.95, indicating that the visual scores are controlled by the same set of genes, a fact making individual selection more complex. The visual scores showed similar genetic correlations with daily weight gain, weight at 18 months and scrotal circumference, ranging from 0.45 to 0.50, from 0.80 to 0.83 and from -0.05 to -0.03, respectively, indicating that individual selection for visual scores will result in genetic changes in the same direction in weight at 18 months and, to a lesser extent, in daily weight gain.