Developing a breeding objective for a French purebred beef cattle selection programme

Phocas, Florence; Bloch, C; Chapelle, P; Bécherel, F.; Renand, Gilles; Ménissier, François

doi:10.1016/s0301-6226(98)00157-2

Cited by 84 publications

(84 citation statements)

References 19 publications

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“…However, profitability of beef production in a beef herd is directly related to a high reproductive rate. Female reproductive traits appear to be the most economically important characters in many production systems (Newman et al, 1992;Phocas et al, 1998;Urioste et al, 1998). Hence, fertility should be included as part of the breeding objectives for beef cattle.…”

Section: Introductionmentioning

confidence: 99%

Genetic variability in calving success in Aberdeen Angus cows under extensive recording

Urioste

Chang

Naya

et al. 2007

Animal

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Data from 2032 Uruguayan Aberdeen Angus cows under extensive management and recording practices were analysed with Bayesian threshold-liability sire models, to assess genetic variability in calving success (CS), defined as a different binary trait for each of the second (CS2), third (CS3) and fourth (CS4) calving opportunities. Sire (herd) variances ranged from 0.08 to 0.11 (0.10 to 0.20) and heritability from 0.27 to 0.35, with large credibility intervals. Correlations between herd effects on CS at different calving opportunities were positive. Genetic correlation between CS2 and CS4 was positive (0.68), whereas those involving adjacent calving opportunities (CS2-CS3 and CS3-CS4) were negative, at 20.39 and 20.54, respectively. The residual correlation CS2-CS3 was negative (20.32). The extent of uncertainty associated with the posterior estimates of the parameters was further evaluated through simulation, assuming different true values (20.4, 20.2, 10.2 and 10.4) for the genetic correlations and changes in the degree of belief parameters of the inverse Wishart priors for the sire covariance matrix. Although inferences were not sharp enough, CS appears to be moderately heritable. The quality of data recording should be improved, in order to effect genetic improvement in female fertility.

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Section: Introductionmentioning

confidence: 99%

Genetic variability in calving success in Aberdeen Angus cows under extensive recording

Urioste

Chang

Naya

et al. 2007

Animal

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“…From the study of Phocas et al (1998), as well as from our results, it is evident that changes in the REVs of traits caused by changes in production circumstances are not always consistent with changes in the MEVs of those same traits. The MEV of a trait is generally calculated by changing the trait mean while keeping the means of all other evaluated traits constant.…”

Section: Impact Of Production Circumstances On Economic Valuesmentioning

confidence: 55%

“…Similarly, under Slovakian conditions, the MEV and the REV of litter size at birth decreased when litter size increased above the average level of the trait (1.2 lambs born per ewe lambing). Phocas et al (1998) and Amer et al (1999) showed that the MEV and REV of reproductive traits (cow conception rate, calf survival, litter size and lamb survival) are sensitive to the marketing strategy of progeny intended for slaughter (fattening to constant slaughter weight or to constant slaughter age, slaughtering at different ages). Similarly, in our study the REV of litter size at birth was strongly sensitive to age of lambs at weaning.…”

Section: Impact Of Production Circumstances On Economic Valuesmentioning

confidence: 99%

“…At higher mean levels, MEVs were lower, and this was further exacerbated by a reduction in genetic standard deviations. Phocas et al (1998), for example, showed that calving success had a 12% higher MEV in beef herds with classical fattening of calves than in suckler herds where calves were sold at weaning, whereas the REV for calving success was 3 percentage points lower in herds with fattening of calves than in suckler herds.…”

Section: Impact Of Production Circumstances On Economic Valuesmentioning

confidence: 99%

“…Legarra et al, 2007), REVs of traits in livestock are sensitive to differences in production circumstances. Therefore, Phocas et al (1998) recommended using REVs of traits calculated separately for different production systems for defining a global breeding objective for beef cattle in France. They calculated the global REV of a trait as the weighted average of the trait REVs in each of the distinct production systems, using the number of cows in each system as the weighting factor.…”

Section: Impact Of Production Circumstances On Economic Valuesmentioning

confidence: 99%

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Impact of production strategies and animal performance on economic values of dairy sheep traits

Krupová

Wolfová

Krupa

et al. 2012

Animal

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The objective of this study was to carry out a sensitivity analysis on the impact of various production strategies and performance levels on the relative economic values (REVs) of traits in dairy sheep. A bio-economic model implemented in the program package ECOWEIGHT was used to simulate the profit function for a semi-extensive production system with the Slovak multi-purpose breed Improved Valachian and to calculate the REV of 14 production and functional traits. The following production strategies were analysed: differing proportions of milk processed to cheese, customary weaning and early weaning of lambs with immediate sale or sale after artificial rearing, seasonal lambing in winter and aseasonal lambing in autumn. Results of the sensitivity analysis are presented in detail for the four economically most important traits: 150 days milk yield, conception rate of ewes, litter size and ewe productive lifetime. Impacts of the differences in the mean value of each of these four traits on REVs of all other traits were also examined. Simulated changes in the production circumstances had a higher impact on the REV for milk yield than on REVs of the other traits investigated. The proportion of milk processed to cheese, weaning management strategy for lambs and level of milk yield were the main factors influencing the REV of milk yield. The REVs for conception rate of ewes were highly sensitive to the current mean level of the trait. The REV of ewe productive lifetime was most sensitive to variation in ewe conception rate, and the REV of litter size was most affected by weaning strategy for lambs. On the basis of the results of sensitivity analyses, it is recommended that economic values of traits for the overall breeding objective for dairy sheep be calculated as the weighted average of the economic values obtained for the most common production strategies of Slovak dairy sheep farms and that economic values be adjusted after substantial changes in performance levels of the traits.

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Bayesian estimates of genetic parameters for pre-conception traits, gestation length and calving interval in beef cattle

Yagüe

González

Moreno

et al. 2009

Animal Reproduction Science

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Developing a breeding objective for a French purebred beef cattle selection programme

Cited by 84 publications

References 19 publications

Genetic variability in calving success in Aberdeen Angus cows under extensive recording

Genetic variability in calving success in Aberdeen Angus cows under extensive recording

Impact of production strategies and animal performance on economic values of dairy sheep traits

Bayesian estimates of genetic parameters for pre-conception traits, gestation length and calving interval in beef cattle

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