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Genetic relationships between composition of pork bellies and performance, carcase and meat quality traits.

机译:猪肚的组成与性能,car体和肉质性状之间的遗传关系。

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Belly traits including predicted fat percentage of the belly (FATPC), combined area of the rib bone and muscle (RBMA), intermuscular fat area (IMFA) and subcutaneous fat area (SFA) were recorded on 2403 pigs along with carcase fat depth at the P2 site (P2). Belly traits were derived from image analysis of the anterior side of pork bellies. Further data available for pigs with belly data and their contemporaries included lifetime growth rate, ultrasound backfat and loin muscle depth (35 406 records), along with meat quality traits (3935 records). There were 4586 feed intake records and 18 398 juvenile insulin-like growth factor-I (IGF-I) records available, which included the majority of pigs with belly data. Genetic parameters were estimated based on an animal model using Residual Maximum Likelihood procedures. Heritability estimates for belly traits ranged from 0.23 to 0.34 (+or-0.05 to 0.06) while the common litter effect varied from 0.04 to 0.07 (+or-0.03). Genetic correlations between FATPC, individual belly fat measurements and carcase P2 fat depth differed significantly from unity, ranging from 0.71 to 0.85 (+or-0.05 to 0.08). Genetic correlations between IMFA and subcutaneous fat measurements varied from 0.47 to 0.63 (+or-0.08 to 0.13). Genetic correlations between belly and performance traits show that selection for reduced juvenile-IGF-I, reduced feed intake and reduced backfat along with increased loin muscle depth will reduce overall fat levels in the belly. Only loin muscle depth had a significant genetic correlation with RBMA (0.32+or-0.10), thereby assisting selection for improved lean meat content of the belly. Ultimately, genetic improvement of belly muscles requires specific measurements of lean meat content of the belly. For this to be effective, measurements are required that can be routinely recorded on the slaughter line, or preferably on the live animal.
机译:记录了2403头猪的腹部特征,包括预测的腹部脂肪百分比(FATPC),肋骨和肌肉的合并面积(RBMA),肌间脂肪面积(IMFA)和皮下脂肪面积(SFA),以及在箱体处的car体脂肪深度。 P2网站(P2)。腹部特征来自猪肚前侧的图像分析。包含腹部数据及其同期数据的猪的更多可用数据包括终生生长率,超声后脂肪和腰部肌肉深度(35 406条记录),以及肉质性状(3935条记录)。有4586份采食记录和18 398例胰岛素样生长因子I(IGF-I)记录,其中包括大多数具有腹部数据的猪。遗传参数是根据动物模型使用残差最大似然法估算的。腹部性状的遗传力估计范围为0.23至0.34(+或-0.05至0.06),而常见的垫料效果从0.04至0.07(+或-0.03)变化。 FATPC,个体腹部脂肪测量值和car体P2脂肪深度之间的遗传相关性在统一性上有显着差异,范围为0.71至0.85(+或-0.05至0.08)。 IMFA和皮下脂肪测量值之间的遗传相关性从0.47到0.63(+或-0.08到0.13)不等。腹部与性能特征之间的遗传相关性表明,选择降低青少年-IGF-I,减少采食量和减少后背脂肪以及增加腰部肌肉深度将减少腹部的总脂肪水平。只有腰部肌肉深度与RBMA有显着的遗传相关性(0.32+或-0.10),从而有助于选择以改善腹部的瘦肉含量。最终,腹部肌肉的遗传改良需要对腹部瘦肉含量进行特定测量。为了使之有效,需要可以常规记录在屠宰线上或优选在活体动物上记录的测量值。

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