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Prediction model of a joint analysis of beef growth and carcass quality traits

机译:牛肉生长与car体品质性状联合分析的预测模型

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A joint growth-carcass analysis was conducted to develop equations for predicting carcass quality traits associated with variation in growth path of crossbred cattle. During a four-year period (1994-1997) of the Australian “Southern Crossbreeding Project”, mature Hereford cows (r = 581) were mated to 97 sires of Jersey, Wagyu, Angus, Hereford, South Devon, Limousin, and Belgian Blue breeds, resulting in 1141 calves. Data included body weight measurements of steers and heifers from birth until slaughter and four carcass quality traits: hot standard carcass weight, rump fat depth, rib eye muscle area, and intramuscular fat content. The model provides nine outputs: median and mean of carcass quality traits, predicted means, and lower and upper confidence intervals, as well as predicted intervals of carcass quality traits (95%) and economic values for domestic market and export markets. Input to the model consists of sex, sire breeds, age (in days)-weight (kg) pairs and slaughter age (500 days for heifer and 700 days for steers). The prediction model is able to accommodate different sexes across seven sire breeds and various management groups at any slaughter age. Its strength lies in its simplicity and flexibility, desirable to accommodate producers with different management schemes. In general, fat depth and intramuscular fat were found to be more affected by differences in growth rate than hot carcass weight and eye muscle area. Also, export market value was more sensitive to growth rate modifications than domestic market value. This model provides a tool by which the producer can estimate the impact of management decisions.
机译:进行了联合growth体分析,以开发方程式来预测与杂交牛生长路径变化相关的car体品质性状。在澳大利亚“南部杂交计划”的四年(1994年至1997年)中,将成年的赫里福德奶牛(r = 581)与泽西,和牛,安格斯,安格斯,赫里福德,南德文郡,利穆赞和比利时蓝的97羽父亲交配。繁殖,产生了1141头犊牛。数据包括从出生到屠宰的ste牛和小母牛的体重测量,以及四个car体质量特征:standard体的标准体重,臀部脂肪深度,肋眼肌肉面积和肌内脂肪含量。该模型提供了九个输出::体质量性状的中位数和均值,预测均值,上下置信区间以及predicted体质量性状的预测区间(95%)以及国内市场和出口市场的经济价值。该模型的输入包括性别,父系品种,年龄(以天为单位)-体重(kg)对和屠宰年龄(小母牛为500天,公牛为700天)。该预测模型能够适应任何屠宰年龄的七个公牛品种和不同管理群体的不同性别。它的优势在于其简单性和灵活性,可满足生产者采用不同管理方案的需求。通常,发现脂肪深度和肌肉内脂肪受生长速率差异的影响要大于hot体重量和眼肌面积。同样,出口市场价值比国内市场价值对增长率的变化更为敏感。该模型提供了一种工具,生产者可以通过该工具估算管理决策的影响。

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