缺乳和喂乳犊牛的外部性状作为身体状况或营养状况的指标。

IF 4.4 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Jan Kurek, Theresa M Liegsalz, Anton M Vorndran, Anna Kurek, Veronika Huber, Georg Hammerl, Hubert Spiekers, Julia Steinhoff-Wagner
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引用次数: 0

摘要

出生后摄入足够的乳汁对小牛的身体发育至关重要。在没有观察到小牛出生的农场,在母牛结合的小牛饲养系统中,或者在没有观察到水桶喂养的早期群体饲养系统中,农民很难评估小牛是否消耗了足够的初乳或牛奶。本研究旨在寻找可用于区分出生后第1 ~ 4周哺乳小牛身体状况和营养状况的外部特征。在第二个数据集中,确定了出生后8至10天犊牛侧腹围变化百分比与牛奶摄入量(%体重)的阈值。因此,首先在2个农场(n = 85)对犊牛在饲喂前和早上自愿采奶后1 h进行测量和评分。对于第二个数据集,10头小牛在第8天至第10天自愿摄入不同的牛奶量(范围%体重)。使用Kruskall-Wallis非参数方差分析分析不同年龄组和性别之间身体参数的显著差异。采用非参数受试者工作特征分析(ROC)得出犊牛缺奶和喂奶状态区别的阈值,以及犊牛侧腹围变化与乳摄入量%体重的关系的阈值。通过测量和评分外部身体参数,可以可视化犊牛的摄入相关增益。性别仅影响第2周的腹围(母乳喂养)。通过ROC分析,侧腹宽度比侧腹周长具有更好的模型质量(0.54 ~ 0.68 vs 0.39 ~ 0.64)和真阳性率(64% ~ 79% vs 47% ~ 87%)。左侧或右侧饥饿坑模型质量最佳(0.61 ~ 1.00),真阳性率极好(76% ~ 100%)。假阳性率较低(8% ~ 23%)。摄入牛奶后,较低摄入水平(低于体重的5%)的腹部围度变化比较高摄入水平的腹部围度变化更明显。在这个较低的范围内,ROC分析产生了很好的曲线下面积值,并且在区分牛奶消耗量%体重方面具有很高的准确性。相比之下,当牛奶摄入量增加到体重的6%至10%时,诊断性能明显下降。确定合适的指标,以充分评估初生哺乳犊牛的身体状况和营养状况,可在养殖场实施,以识别和预防缺乳情况下的危急情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exterior traits of milk-deprived and milk-fed calves as indicators for body condition or nutritional status.

The intake of sufficient milk in the postnatal age is crucial for the physical development of the calf. Farmers struggle to assess whether the calves have consumed sufficient colostrum or milk on farms with unobserved birth, in cow-bonded calf-rearing systems or early group housing with unobserved bucket feeding. The study aimed to find exterior traits that can be used to classify the body condition and nutritional status of suckling calves during wk 1 to 4 after birth. In a second dataset, threshold values for the percentage change in flank circumference in relation to the milk intake (% BW) were determined in calves aged 8 to 10 d after birth. Therefore, at first, calves (n = 85) were measured and scored on 2 farms before feeding and 1 h after voluntary milk intake in the morning. For the second dataset, 10 calves had a voluntary uptake of different milk volumes (range % BW) from d 8 to 10. Significant differences in body parameters between the age groups and sex were analyzed using a Kruskall-Wallis nonparametric ANOVA. A nonparametric receiver operating characteristic analysis (ROC) was used to derive the threshold values for the distinction between milk-deprived and milk-fed status in calves and threshold values for changes in flank circumference in relation to milk intake % BW. The intake-associated gain of the calves could be visualized by measuring and scoring the external body parameters. Sex influenced only flank circumference (milk-fed) in wk 2. Using the ROC, the flank width showed a better model quality (0.54-0.68 vs. 0.39-0.64) and true-positive rate (64%-79% vs. 47%-87%) than the flank circumference. The left or right hunger pit showed the best model quality (0.61-1.00) and excellent true-positive rates (76%-100%). The false-positive rate was in the lower range (8%-23%). Following milk intake, changes in flank circumference were more distinctly detectable at lower intake levels (below 5% of BW) than at higher levels. Within this lower range, the ROC analysis yielded excellent area under the curve values and high accuracy in distinguishing between the amount of milk consumed % BW. In contrast, as milk intake increased to 6% to 10% of BW, the diagnostic performance declined noticeably. Suitable indicators were identified to sufficiently assess the body condition and nutritional status of newborn suckling calves, which could be implemented on farms to recognize and prevent critical situations in the absence of milk intake.

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来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
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