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首页> 外文期刊>Meat Science >Can potential for dark cutting be predicted by phenotype? Ⅱ: Relationships between farm, phenotype, carcass characteristics and the incidence of dark cutting beef in heifers
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Can potential for dark cutting be predicted by phenotype? Ⅱ: Relationships between farm, phenotype, carcass characteristics and the incidence of dark cutting beef in heifers

机译:是否可以通过表型预测暗切的可能性? Ⅱ:小母牛场,表型,characteristics体特性与暗切牛肉发生率的关系

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摘要

Reduced subcutaneous fat depth, marbling and live weight in heifers have been associated with increased frequency of dark cutting. A data set of cattle (n = 845) was used to extract data from three farms for a balanced analysis of variance examining the effect of farm and Canada carcass grade on heifer live and carcass characteristics. A data set of 72 heifers (Canada AAA, AA, A, and B4, n = 9,21,21 and 21, respectively) from the original data set (n = 845) was created by selecting carcasses from the four grades matched as closely as possible within slaughter lot by date of birth to all available Canada B4 carcasses to establish a balanced design between heifer live and carcass measurements and the dark cutting Canada B4 grade. Data were from heifers on study from 2003 to 2011 on three farms, designated A, B and C, which contributed n = 18,47, and 7 heifers, respectively. Heifer data from Farm A were presented originally in Mahmood et al. (2014a) and were included in testing the new hypothesis that heifers producing a dark (Canada B4) carcass can be identified from live animal measurements. Analysis of variance of the heifer data (n = 72) indicated that farm was a significant source of variation (P < 0.05) for average daily gain (ADG), age at feeding, age at slaughter, ultrasound fat depth (uFD), ultrasound rib eye area (uREA), ultrasound marbling score (uMS), grade rib eye area (gREA) and grade marbling score (gMS) and reflected different genetics and live weight endpoints between farms. Grade was unrelated (P > 0.05) to ADG, feed conversion, and residual feed intake, although Farm C heifers that cut dark had the fewest days on feed (P < 0.05). Heifers that cut dark had uFD, uMS, and grade subcutaneous fat depth (gFD) similar to heifers that produced Canada A and AA carcasses, and gMS similar to Canada AA carcasses. Binomial and multinomial logistic regression of the data sub-set indicated that heifers were most likely to cut dark at uFD between 2.5 and 7.5 mm but at uFD greater than 7.5 mm a heifer carcass was most likely to grade Canada AAA (>45%). Results indicated that feeding to Canada AAA specifications may reduce the incidence of dark cutting in heifers.
机译:小母牛皮下脂肪深度,大理石花纹和活重的减少与暗切的频率增加有关。使用一组牛(n = 845)数据从三个农场中提取数据,以进行方差平衡分析,以检验农场和加拿大car体等级对小母牛活体和car体特性的影响。通过从匹配的四个等级中选择car体来创建来自原始数据集(n = 845)的72个小母牛(加拿大AAA,AA,A和B4,分别为n = 9,21,21和21)的数据集。所有出生的加拿大B4屠体均应在出生日期之前尽可能接近屠宰场,以在小母牛活体和屠体尺寸与深色切割加拿大B4等级之间建立平衡的设计。数据来自2003年至2011年在三个农场A,B和C的研究中的小母牛,分别贡献了n = 18,47和7个小母牛。来自农场A的小母牛数据最初由Mahmood等人提供。 (2014a),并被包括在测试新假设中,即可以从活体动物测量中识别出产生深色(体(加拿大B4)的小母牛。对小母牛数据(n = 72)的方差分析表明,农场是平均日增重(ADG),摄食年龄,屠宰年龄,超声脂肪深度(uFD),超声的重要变异源(P <0.05)。肋眼面积(uREA),超声大理石花纹得分(uMS),肋眼等级(gREA)和大理石花纹等级(gMS),反映了农场之间不同的遗传和活体重终点。品级与日增重,饲料转化率和剩余饲料摄入量无关(P> 0.05),尽管切黑的农家小母牛的采食天数最少(P <0.05)。切开黑暗的小母牛的uFD,uMS和等级皮下脂肪深度(gFD)与生产Canada A和AA尸体的小母牛相似,而gMS与Canada AA尸体的相似。该数据子集的二项式和多项式逻辑回归表明,小母牛最有可能在2.5到7.5毫米之间的uFD上割黑,而在uFD大于7.5毫米时,小母牛car体最有可能达到加拿大AAA级(> 45%)。结果表明,按照加拿大AAA规范进行饲喂可减少小母牛暗切的发生率。

著录项

  • 来源
    《Meat Science》 |2015年第1期|152-152|共1页
  • 作者单位

    Department of Agricultural, Food and Nutritional Science, University of Alberta, 410 Agriculture/Forestry Building, Edmonton, Alberta T6G 2P5, Canada;

    Alberta Agriculture and Rural Development, 6000 C & E Trail, Lacombe T4L 1W1, Canada;

    Department of Agricultural, Food and Nutritional Science, University of Alberta, 410 Agriculture/Forestry Building, Edmonton, Alberta T6G 2P5, Canada;

    Department of Agricultural, Food and Nutritional Science, University of Alberta, 410 Agriculture/Forestry Building, Edmonton, Alberta T6G 2P5, Canada;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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