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Use of individual cow milk recording data at the start of lactation to predict the calving to conception interval

机译:在哺乳开始时使用单独的牛奶记录数据来预测产卵间隔

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摘要

Milk recording data collected in 2,128 dairy herds in England and Wales between 2004 and 2006 were used to predict the calving to conception intervals. The average cumulative milk production was 8,200 kg. Conception (or not) within 5 intervals measured in days (20 to 60 d, 61 to 81 d, 82 to 102 d, 103 to 123 d, 124 to 144 d) was modeled as a function of milk yields and milk constituents at the start of lactation using multilevel discrete-time survival models. Milk yield, weight and percentage of fat, protein, and lactose, and somatic cell counts on the first 2 test-days of lactation were corrected for either stage of lactation alone or stage of lactation and time of year. Five hundred and 1,628 herds, respectively, were used for parameter estimation and cross-validation. Covariates were retained in the final model if their coefficient was at least twice its standard error and their inclusion resulted in a decrease in the deviance. Overall, 73% of cows recalved. The percentage of cows that had conceived by d 20, 61, 82, 103, 124, and 145 were 0.5, 7.3, 17.9, 29.3, 38.7, and 46, respectively. The probability of conception before 145 d in milk increased with lower milk production on the second test-day, higher percentage of protein on the second test-day, and higher percentage of lactose on the first test-day. Positive associations were of a limited magnitude but nonetheless significant with the percentage of protein on the first test-day, the percentage of butterfat on the first test-day, and somatic cell count on both test-days. The model predicted the probability of conception in the cross validation data set very well. Despite the common use of fat to protein ratio as a measure of energy balance, this parameter exhibited wide variation with stage of lactation and time of the year and had a much-reduced ability to predict an early conception compared with other combinations of milk quantity and constituents.
机译:2004年至2006年间,在英格兰和威尔士的2128个奶牛群中收集的牛奶记录数据被用来预测产卵间隔。平均累积牛奶产量为8,200公斤。在几天内(20到60 d,61到81 d,82到102 d,103到123 d,124到144 d)测量的5个间隔内的受孕(或未受孕)建模为产奶量和产奶量的函数使用多级离散时间生存模型开始哺乳。在单独的哺乳阶段或哺乳阶段和一年中的某个时间,对泌乳前两个测试日的牛奶产量,重量,脂肪,蛋白质和乳糖的重量和百分比以及体细胞计数进行了校正。分别使用了500个和1,628个牛群进行参数估计和交叉验证。如果协变量的系数至少是其标准误差的两倍,则协变量将保留在最终模型中,并且将其包含会导致偏差减少。总体而言,有73%的母牛被割下。 d 20、61、82、103、124和145受孕的母牛百分比分别为0.5、7.3、17.9、29.3、38.7和46。牛奶在145 d之前受孕的概率随着第二个试验日产奶量降低,第二个试验日蛋白质含量较高和第一个试验日乳糖含量较高而增加。阳性关联的程度有限,但在第一个测试日的蛋白质百分比,第一个测试日的奶油脂肪百分比和两个测试日的体细胞计数均显着。该模型很好地预测了交叉验证数据集中受孕的可能性。尽管通常使用脂肪与蛋白质的比例来衡量能量平衡,但该参数随泌乳阶段和一年中的不同时间表现出很大的差异,并且与其他牛奶量和牛奶组合相比,预测早孕的能力大大降低。成分。

著录项

  • 来源
    《Journal of dairy science》 |2010年第10期|p.4677-4690|共14页
  • 作者单位

    School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, LE12 5RD, United Kingdom;

    rnSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, LE12 5RD, United Kingdom;

    rnSchool of Clinical Veterinary Science, University of Bristol, Langford, Bristol, BS40 5DU, United Kingdom;

    rnSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, LE12 5RD, United Kingdom Quality Milk Management Services (QMMS) Ltd., Westbury-sub-Mendip, Nr Wells, Somerset, BA5 1EY, United Kingdom;

    rnSchool of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, United Kingdom;

    rnSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, LE12 5RD, United Kingdom;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    calving to conception interval; milk recording; milk constituents; fat to protein ratio;

    机译:屈服于受孕间隔牛奶记录;牛奶成分;脂肪与蛋白质的比例;
  • 入库时间 2022-08-17 23:24:50

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