Berry D P, Ring S C, Twomey A J
Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy P61 P302, Co. Cork, Ireland.
Irish Cattle Breeding Federation, Shinagh, Bandon P72 X050, Co. Cork, Ireland.
JDS Commun. 2023 Nov 17;5(2):129-133. doi: 10.3168/jdsc.2023-0426. eCollection 2024 Mar.
The growing demand among dairy producers for suitable beef sires to mate to their females creates the possibility of separate breeding programs to generate beef sires for the dairy sector versus those for the beef sector. Informing such a decision is the extent of the genetic differences among beef sires used by dairy producers relative to those used by beef producers. The objective therefore of the present study was to use a large national database of artificial insemination (AI) records in dairy and beef cow herds to establish the difference in mean genetic merit of beef AI sires used by dairy producers versus those used by cow-calf beef producers. The traits explored were gestation length, calving difficulty, and perinatal mortality as well as the 3 carcass traits of carcass weight, conformation, and fat score. Carcass conformation and fat score are mechanically assessed on a scale of 1 (poor conformation and low fat cover) to 15 (excellent conformation and high fat cover). Sire genetic merit differences for feed intake and docility were also examined. Estimates of genetic merit for all 8 traits on individual AI sires available at the time of service were used. A total of 1,230,622 AI records comprised 909,719 services from dairy herds and 320,903 services from beef herds were used. Of the 1,802 beef AI sires represented in the entire dataset, over half were used by both dairy and beef herds representing ≥98% of the services in each production system. However, the usage rate of individual AI sires differed between dairy and beef herds with the Spearman rank correlation between the quantity of inseminations per sire in dairy and beef herds being just 0.38. This correlation means that beef AI sires used heavily in the beef herd were not always those heavily used in dairy herds. A clear difference in the mean genetic merit of beef AI sires selected by dairy producers relative to those selected by beef cow-calf producers was obvious with the extent of the difference being a function of whether the female served was a nulliparous heifer or a cow. Much of the differences in genetic merit of chosen beef AI sires between dairy and beef producers was actually attributable to differences in breed choice, albeit some within-breed selection was also evident. Irrespective, dairy producers, on average, chose shorter gestation length sires whose progeny were genetically less predisposed to require intervention during the birthing process; these sires had genetic merit estimates expected to result in lighter and less conformed progeny carcasses relative to the beef AI sires used by beef producers. Results point to large differences in genetic merit of the beef AI sires chosen by dairy versus beef producers, much of which actually reflected differences in breed choice among dairy and beef producers.
乳制品生产商对适合与他们的母牛配种的肉牛种公牛的需求不断增加,这使得有可能制定单独的育种计划,为乳制品行业培育肉牛种公牛,与为牛肉行业培育的种公牛区分开来。影响这一决策的因素是乳制品生产商使用的肉牛种公牛与牛肉生产商使用的种公牛之间的遗传差异程度。因此,本研究的目的是利用一个包含奶牛和肉牛群人工授精(AI)记录的大型国家数据库,确定乳制品生产商使用的肉牛AI种公牛与肉牛犊牛生产商使用的种公牛在平均遗传价值上的差异。所探讨的性状包括妊娠期长度、产犊难度、围产期死亡率以及胴体重量、体型和脂肪评分这三个胴体性状。胴体体型和脂肪评分通过机械评估,范围从1(体型差、脂肪覆盖少)到15(体型优、脂肪覆盖多)。还研究了种公牛在采食量和温顺性方面的遗传价值差异。使用了在输精时可获得的关于个体AI种公牛所有8个性状的遗传价值估计值。总共1230622条AI记录包括来自奶牛群的909719次输精和来自肉牛群的320903次输精。在整个数据集中代表的1802头肉牛AI种公牛中,超过一半被奶牛群和肉牛群都使用,在每个生产系统中占输精服务的≥98%。然而,个体AI种公牛在奶牛群和肉牛群中的使用率不同,奶牛群和肉牛群中每个种公牛的输精数量之间的斯皮尔曼等级相关性仅为0.38。这种相关性意味着在肉牛群中大量使用的肉牛AI种公牛并不总是在奶牛群中大量使用的那些。乳制品生产商选择的肉牛AI种公牛与肉牛犊牛生产商选择的种公牛在平均遗传价值上存在明显差异,差异程度取决于所配种的母牛是初产小母牛还是经产母牛。乳制品生产商和牛肉生产商在所选肉牛AI种公牛的遗传价值上的许多差异实际上归因于品种选择的差异,尽管品种内的一些选择也很明显。无论如何,乳制品生产商平均选择妊娠期较短的种公牛,其后代在分娩过程中遗传上较少需要干预;相对于牛肉生产商使用的肉牛AI种公牛,这些种公牛的遗传价值估计预计会导致后代胴体更轻、体型更不理想。结果表明,乳制品生产商和牛肉生产商选择的肉牛AI种公牛在遗传价值上存在很大差异,其中很大一部分实际上反映了乳制品生产商和牛肉生产商在品种选择上的差异。