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The aim of this study was to find a simple measure for calf temperament discrimination, which can be useful as a selection criterion for on-farm French beef cattle breeding schemes. Behavioral records were registered at an average age of 5 and 7 too, respectively, for 1,282 and 1,440 Limousin calves born in 24 French farms between August 2007 and April 2008. Measures were repeated for 810 calves at the 2 ages. The test procedure consisted of individually restraining the calves in a chute, then exposing them to a stationary human situated in front of the chute for 10 s. For every calf and each period of the test, the number of rush movements and the total number of movements were scored by visual appraisal using a continuous scale ranging from 0 (no movements) to 60 (continuous movements). Initial scores were also transformed to categorical scores and analyzed. Genetic correlation across ages were very high for all the traits (above 0.84 [+ or -] 0.20) suggesting that these traits are governed by the same pool of genes at the 2 ages. The corresponding phenotypic correlations were about 0.3 for all the measures. Heritabilities were moderate for all measures (from 0.11 to 0.31) with the total number of movements during weighing measured at 7 mo being the greatest. All the measures were highly correlated (from 0.73 [+ or ] 0.26 to 0.99 [+ or ] 0.02). Genetic correlation across sexes was not statistically different from 1. However, traits measured during weighing showed different genetic variance estimates for females and males. Similar results were obtained for the transformed categorical scores. According to these results, the total number of movements during weighing seems to be the most promising trait for on-farm genetic evaluation of French beef cattle temperament. Key words: beef cattle, behavior, docility, genetic evaluation, genetic parameter, on-farm temperament doi: 10.2527/jas.2010-3132

The objective of this study was to quantify the effects of the Charolais-specific inactive myostatin allele on phenotypic means and genetic parameters of heifer breeding traits. Records were registered from 1996 to 2006 in 282 herds dedicated to the on-farm French Charolais purebred progeny test. Data consisted of 36,867 female calf records, including 17,518 inseminated heifers that were bred by 186 genotyped sires, of which 43 were heterozygous and 6 were double muscled bulls. Six traits were analyzed under a univariate animal model accounting for maternal effects and myostatin sire genotype: calving difficulty, birth and weaning weights, muscle and skeleton scores at weaning, and fertility of artificially inseminated heifers. The inactive myostatin allele had a large positive effect on weaned heifer muscle score, unfavorable effects on calving difficulty and skeleton score, and small effects on birth and weaning weight, This allele did not induce an adverse effect on heifer fertility. Univariate estimates of polygenic variance parameters were almost unaffected by the estimation of the myostatin sire genotype, except for heifer morphology traits. Direct and maternal genetic variances and covariances were significantly reduced under a model accounting for the myostatin sire genotype effect on muscle score. The myostatin genotype explained 452 of the direct genetic variance and had a pleiotropic action across both direct and maternal effects on muscle score. BeCause the myostatin sire genotype had no significant effect on birth weight, the multitrait sire analysis concerned only the 5 other traits. Accounting for the myostatin sire genotype, estimates of polygenic correlation between skeleton score and muscle score, on the one hand, and calving difficulty on the other hand, were largely modified: from a negative estimate of -0.3 to 0.0 and from a positive estimate of 0.4 to 0,7, respectively. Key words: beef cattle, calving difficulty, double muscling, fertility, genetic parameter, myostatin

Calving difficulty was analyzed under threshold and linear models considering either a fixed or random herd-year effect. The aim of the study was to compare models for predicting breeding values according to the size of herd-year groups. When simulating data sets with small herds, in order to obtain an unbiased evaluation under a nonrandom and negative association of sire and herd effects, the best model for a practical evaluation was the fixed linear model. Field data included 246,576 records of the largest Charolais herds in France. Models were compared using the correlations of estimated breeding values between the different models. Although the best model from a theoretical point of view was a threshold model with a fixed herd-year effect, a linear model with a fixed herd-year effect was the best choice from a practical point of view for predicting direct effects for calving difficulty in beef cattle and was a sufficient choice for predicting the associated maternal effects for data set with large herds. Correlations between direct estimated breeding values under the reference model and the fixed linear model and the random threshold model were 0.94 and 0.91, respectively. Correlations between the corresponding maternal estimated breeding values were 0.94 and 0.98. Heritabilities of direct effects were 0.27 and 0.14 under fixed threshold and fixed linear models, respectively. The corresponding heritabilities of maternal effects were 0.18 and 0.13, and the genetic correlation between direct and maternal effects were -0.36 and -0.34, respectively. Key Words: Contemporary Comparisons, Dystocia, Linear Models, Threshold Models

Background: Rainbow trout is a significant fish farming species under temperate climates. Female reproduction traits play an important role in the economy of breeding companies with the sale of fertilized eggs. The objectives of this study are threefold: to estimate the genetic parameters of female reproduction traits, to determine the genetic architecture of these traits by the identification of quantitative trait loci (QTL), and to assess the expected efficiency of a pedigree-based selection (BLUP) or genomic selection for these traits. Results: A pedigreed population of 1343 trout were genotyped for 57,000 SNP markers and phenotyped for seven traits at 2 years of age: spawning date, female body weight before and after spawning, the spawn weight and the egg number of the spawn, the egg average weight and average diameter. Genetic parameters were estimated in multi-trait linear animal models. Heritability estimates were moderate, varying from 0.27 to 0.44. The female body weight was not genetically correlated to any of the reproduction traits. Spawn weight showed strong and favourable genetic correlation with the number of eggs in the spawn and individual egg size traits, but the egg number was uncorrelated to the egg size traits. The genome-wide association studies showed that all traits were very polygenic since less than 10% of the genetic variance was explained by the cumulative effects of the QTLs: for any trait, only 2 to 4 QTLs were detected that explained in-between 1 and 3% of the genetic variance. Genomic selection based on a reference population of only one thousand individuals related to candidates would improve the efficiency of BLUP selection from 16 to 37% depending on traits. Conclusions: Our genetic parameter estimates made unlikely the hypothesis that selection for growth could induce any indirect improvement for female reproduction traits. It is thus important to consider direct selection for spawn weight for improving egg production traits in rainbow trout breeding programs. Due to the low proportion of genetic variance explained by the few QTLs detected for each reproduction traits, marker assisted selection cannot be effective. However genomic selection would allow significant gains of accuracy compared to pedigree-based selection. [ABSTRACT FROM AUTHOR]