Genetic parameters and relationships between growth traits and scrotal circumference measured at different ages in Nellore cattle

Records from 106,212 Nellore animals, born between 1998 and 2006, were used to estimate (co)variance components and genetic parameters for birth weight (BW), average weight gains from birth to weaning (GBW), average weight gains from weaning to after yearling (GWAY), weaning hip height (WHH), postweaning hip height (PHH) and scrotal circumferences at 9 (SC9), 12 (SC12) and 15 (SC15) months of age. (Co)variance components were estimated by an animal model using multi-trait analysis. Heritability estimates for BW, GBW, GWAY, WHH, PHH, SC9, SC12 and SC15 were 0.31 ± 0.01; 0.25 ± 0.02; 0.30 ± 0.04; 0.51 ± 0.04; 0.54 ± 0.04; 0.39 ± 0.01; 0.41 ± 0.01 and 0.44 ± 0.02, respectively. Genetic correlations between growth traits ranged from 0.09 ± 0.01 to 0.88 ± 0.01, thereby implying that, at any age, selection to increase average weight gains will also increase stature. Genetic correlations between BW and average weight gains with scrotal circumferences were all positive and moderate (0.15 ± 0.03 to 0.38 ± 0.01). On the other hand, positive and low genetic associations were estimated between hip height and scrotal circumference at different ages (0.09 ± 0.01 to 0.17 ± 0.02). The results of this study pointed out that selection to larger scrotal circumferences in males will promote changes in average weight gains. In order to obtain Nellore cattle with the stature and size suitable for the production system, both weight gain and hip height should be included in a selection index

Correlações genéticas entre escores visuais e características reprodutivas em bovinos Nelore usando inferência bayesiana

The aim of this work was to estimate the heritability and the genetic correlations between visual scores and reproductive traits of Nelore cattle. The traits evaluated were: finishing, muscling, and conformation scores at weaning (PD, MD, and CD, respectively) and yearling (PS, MS and CS, respectively); age at the first calving (IPP) and scrotal circumference (PE). The records of 66,244 animals born between 1990 and 2006 were used. The genetic parameters were estimated using bi-trait animal analyses with Bayesian inference. A linear model for IPP and PE and a nonlinear (threshold) model for visual scores were used. The heritability estimates were: CD, 0.19±0.02; PD, 0.23±0.02; MD, 0.20±0.02; CS, 0.26±0.01; PS, 0.33±0.02; MS, 0.32±0.02; IPP, 0.16±0.03; and PE, 0.36±0.02. Genetic correlation estimates between visual scores and IPP were negative, varying from -0.18±0.03 to -0.29±0.02. Positive genetic correlations were obtained between the visual scores and PE, from 0.19±0.01 to 0.31±0.01. Animal selection with the highest visual scores, mainly those taken after the yearling age, allows to improve herd reproductive traits.O objetivo deste trabalho foi estimar a herdabilidade e as correlações genéticas entre escores visuais e características reprodutivas de animais da raça Nelore. As características avaliadas foram: precocidade, musculatura, e escores de conformação à desmama (PD, MD e CD, respectivamente) e ao sobreano (PS, MS e CS, respectivamente); idade ao primeiro parto (IPP); e perímetro escrotal (PE). Foram utilizadas informações de 66.244 animais, nascidos entre 1990 e 2006. Os parâmetros genéticos foram estimados em análises bicaracterísticas, com inferência bayesiana. Foi utilizado um modelo linear para IPP e PE, e um modelo não linear ("threshold") para os escores visuais. As herdabilidades estimadas foram: CD, 0,19±0,02; PD, 0,23±0,02; MD, 0,20±0,02; CS, 0,26±0,01; PS, 0,33±0,02; MS, 0,32±0,02; IPP, 0,16±0,03; e PE, 0,36±0,02. As correlações genéticas estimadas entre os escores visuais e IPP foram negativas, de -0,18±0,03 a -0,29±0,02. Correlações genéticas positivas foram obtidas entre os escores visuais e o PE, de 0,19±0,01 a 0,31±0,01. A seleção de animais com os maiores escores visuais, principalmente ao sobreano, permite melhorar o desempenho reprodutivo dos rebanhos.

Estimates of heritabilities and correlations for visual scores, weight and height at 550 days of age in Nelore cattle herds

Os objetivos neste trabalho foram avaliar as relações entre os escores visuais de estrutura corporal, precocidade e musculosidade ao sobreano (aproximadamente 550 dias de idade) com características de crescimento para verificar as possibilidades de utilizar essas características como critérios de seleção. Foram obtidas estimativas dos componentes de covariâncias por máxima verossimilhança restrita empregando-se um modelo animal com o efeito fixo de grupo contemporâneo e a idade como covariável (efeitos linear e quadrático). Os grupos contemporâneos foram definidos pelas variáveis: sexo; ano, estação e fazenda de nascimento; e fazenda e grupo de manejo aos 120, 210, 365 e 550 dias de idade. Foram utilizadas 1.367 observações de estrutura corporal, precocidade e musculosidade. As estimativas de herdabilidade foram de 0,24 ± 0,09 para estrutura corporal; 0,63 ± 0,12 para precocidade e 0,48 ± 0,11 para musculosidade, e as estimativas de correlações genéticas entre os escores foram 0,49 entre estrutura corporal e precocidade; 0,63 entre estrutura corporal e musculosidade; e 0,90 entre precocidade e musculosidade. As correlações genéticas entre os escores de estrutura corporal, precocidade e musculosidade, e o peso ao sobreano foram todas positivas (0,83; 0,42 e 0,50, respectivamente), enquanto as estimativas de correlações genéticas entre altura de posterior e os escores de estrutura corporal, precocidade e musculosidade, respectivamente, foram 0,57, -0,29 e -0,33. As características estrutura corporal, precocidade e musculosidade ao sobreano apresentaram variação genética aditiva de moderada a alta. As correlações genéticas dos escores com altura do posterior indicam que a seleção de animais mais altos, ainda que indireta, pode ocasionar aumento da estrutura corporal média dos animais, que poderão ser menos precoces e menos musculosos ao sobreano. A seleção para os escores visuais, principalmente para estrutura corporal, deve promover aumento no peso ao sobreano dos animais.The objectives of this study were to evaluate the associations between visual scores of body structure, precocity and muscling at 550 days of age and growing traits, and verify the possibilities of applying these traits as selection criteria. (Co)variance components were estimated by restricted maximum likelihood, employing an animal model with fixed effects of contemporary group and age as a covariate (linear and quadratic effects). Contemporary groups were defined by variables: sex; year, season and herd of birth; herd and management group at 120, 210, 365 and 550 days of age. Scores from 1,367 animals for body structure, precocity and muscling were evaluated. Heritability estimates for the visual scores were 0.24 ± 0.09 for body structure, 0.63 ± 0.12 for precocity and 0.48 ± 0.11 for muscling. Genetic correlations estimates among the scores were 0.49 for body structure and precocity, 0.63 between body structure and muscling, 0.90 between precocity and muscling. The genetic correlation estimates among the scores of body structure, precocity and muscling and weight at 550 days were all positive (0.83, 0.42 and 0.50, respectively), while the genetic correlation estimates between hip height and body structure, precocity and muscling were 0,57, -0,29 and -0,33, respectively. Scores for body structure, precocity and muscling at 550 days of age presented moderate-to-large additive genetic variability. The genetic correlation estimates between visual scores and hip height indicated that the selection of taller animals, even though indirectly, can increase the body structure of animals and decrease precocity and muscling at 550 days. Selection for visual scores, especially body structure, should increase animal weight at 550 days.Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES

Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results

Beef cattle affected by feet and legs malformations (FLM) cannot perform their productive and reproductive functions satisfactorily, resulting in significant economic losses. Accelerated weight gain in young animals due to increased fat deposition can lead to ligaments, tendon and joint strain and promote gene expression patterns that lead to changes in the normal architecture of the feet and legs. The possible correlated response in the FLM due to yearling weight (YW) selection suggest that this second trait could be used as an indirect selection criterion. Therefore, FLM breeding values and the genetic correlation between FLM and yearling weight (YW) were estimated for 295,031 Nellore animals by fitting a linear-threshold model in a Bayesian approach. A genome-wide association study was performed to identify genomic windows and positional candidate genes associated with FLM. The effects of single nucleotide polymorphisms (SNPs) on FLM phenotypes (affected or unaffected) were estimated using the weighted single-step genomic BLUP method, based on genotypes of 12,537 animals for 461,057 SNPs. Twelve non-overlapping windows of 20 adjacent SNPs explaining more than 1% of the additive genetic variance were selected for candidate gene annotation. Functional and gene prioritization analysis of candidate genes identified six genes (ATG7, EXT1, ITGA1, PPARD, SCUBE3, and SHOX) that may play a role in FLM expression due to their known role in skeletal muscle development, aberrant bone growth, lipid metabolism, intramuscular fat deposition and skeletogenesis. Identifying genes linked to foot and leg malformations enables selective breeding for healthier herds by reducing the occurrence of these conditions. Genetic markers can be used to develop tests that identify carriers of these mutations, assisting breeders in making informed breeding decisions to minimize the incidence of malformations in future generations, resulting in greater productivity and animal welfare

O uso da estatística Bayesiana no melhoramento genético animal: uma breve explicação

This paper describes the study of Bayesian techniques in animal breeding, in order to discuss and clarify this approach compared to the frequentist statistical. It will be presented two algorithms for stochastic integration by Monte Carlo simulation of Markov Chains (MCMC): the Gibbs sampler and Metropolis-Hastings. It is considered the application of these techniques mentioned as an alternative to animal breeding programs in the estimation of genetic parameters in order to solve problems related to more complex models and the expression of traits of economic interest that do not have normal distribution. The proposed approaches are explained and discussed in developing of this paper.Este trabalho aborda o estudo de técnicas bayesianas no melhoramento genético animal, no intuito de discutir e elucidar esta referida abordagem frente a estatística “frequentista”. Apresentam-se dois algoritmos de integração estocástica por meio da simulação de Monte Carlo em Cadeias de Markov (MCMC): o Amostrador de Gibbs e o Metropolis-Hastings. Considera-se a aplicação das mencionadas técnicas como uma alternativa aos programas de melhoramento animal, na estimação de parâmetros genéticos em ordem de solucionar problemas relacionados aos modelos mais complexos e a expressão de características de interesse econômico que não tenham distribuição normal. As abordagens propostas são explicadas e discutidas no desenvolvimento do trabalho

Parameter-varying modelling and fault reconstruction for wind turbine systems

In this paper, parameter-varying technique is firstly addressed for modelling a 4.8 MW wind turbine system which is nonlinear in essence. It is worthy to point out that the proposed parameter-varying model is capable of describing a nonlinear real-time process by using real-time system parameter updating. Secondly, fault reconstruction approach is proposed to reconstruct system component fault and actuator fault by utilizing augmented adaptive observer technique with parameter-varying. Different from the offline tuning adaptive scheme, the proposed adaptive observer includes adaptive tuning ability to online adjust the observer based on varying parameter. The effectiveness of the proposed parameter-varying modelling and fault reconstruction methods is demonstrated by using a widely-recognized 4.8 MW wind turbine benchmark system

Polimorfismos em genes‑candidatos e suas associações com características de carcaça e qualidade da carne em bovinos Nelore

The objective of this work was to estimate the allele polymorphism frequencies of genes in Nellore cattle and associate them with meat quality and carcass traits. Six hundred males were genotyped for the following polymorphisms: DGAT1 (VNTR with 18 nucleotides at the promoter region); ANK1, a new polymorphism, identified and mapped here at the gene regulatory region NW_001494427.3; TCAP (AY428575.1:g.346G>A); and MYOG (NW_001501985:g.511G>C). In the association study, phenotype data of hot carcass weight, ribeye area, backfat thickness, percentage of intramuscular fat, shear force, myofibrillar fragmentation index, meat color (L*, a*, b*), and cooking losses were used. Allele B from the ANK1 gene was associated with greater redness (a*). Alleles 5R, 6R, and 7R from the DGAT1 VNTR gene were associated with increased intramuscular fat, reduced cooking losses and increased ribeye area, respectively. The single nucleotide polymorphism (SNP) of the TCAP gene was not polymorphic, and MYOG alleles were not associated with any of the evaluated characteristics. These results indicate that ANK1 and DGAT1 genes can be used in the selection of Nellore cattle for carcass and meat quality.O objetivo deste trabalho foi estimar as frequências de polimorfismos alélicos em genes de bovinos Nelore e associá‑los às características de carcaça e qualidade da carne. Seiscentos machos foram genotipados quanto aos seguintes polimorfismos: DGAT1 (VNTR com 18 nucleotídeos na região promotora); ANK1, novo polimorfismo, identificado no presente estudo e mapeado na região gênica regulatória NW_001494427.3; TCAP (AY428575.1:g.346G>A); e MYOG (NW_001501985:g.511G>C). No estudo de associação, foram utilizados os dados fenotípicos de massa da carcaça quente, área de olho do lombo, espessura de gordura subcutânea, percentagem de gordura intramuscular, força de cisalhamento, índice de fragmentação miofibrilar, coloração da carne (L*, a*, b*) e perdas por cocção. O alelo B do gene ANK1 foi associado ao aumento da coloração vermelha (a*) da carne. No gene DGAT1, os alelos 5R, 6R e 7R foram associados ao aumento de gordura intramuscular, à redução das perdas por cocção e ao aumento da área de olho de lombo, respectivamente. O SNP (polimorfismo de nucleotídeo único) do gene TCAP não apresentou polimorfismo, e os alelos do gene MYOG não foram associados a nenhuma das características avaliadas. Os resultados indicam que os genes ANK1 e DGAT1 podem ser utilizados na seleção de animais Nelore quanto à qualidade de carne e carcaça

Effect of lactation length adjustment procedures on genetic parameter estimates for buffalo milk yield

The objectives of this study were to estimate the genetic parameters for milk yield unadjusted and adjusted for days in milk and, subsequently, to assess the influence of adjusting for days in milk on sire rank. Complete lactations from 90 or 150 days of lactation to 270 or 350 days in milk were considered in these analyses. Milk yield was adjusted for days in milk by multiplicative correction factors, or by including lactation length as a covariable in the model. Milk yields adjusted by different procedures were considered as different traits. Heritability estimates varied from 0.17 to 0.28. Genetic correlation estimates between milk yields unadjusted and adjusted for days in milk were greater than 0.82. Adjusting for days in milk affected the parameter estimates. Multiplicative correction factors produced the highest heritability estimates. More reliable breeding value estimates can be expected by including short length lactation records in the analyses and adjusting the milk yields for days in milk, regardless of the method used for the adjustment. High selection intensity coupled to the inclusion of short length lactations and adjustment with multiplicative factors can change the sire rank.