METHOD FOR EVALUATION AND SELECTION OF COWS BY ROBOTIC SUITABILITY INDEX
2024-09-03
专利权人KAZAN VETERINARY MEDICINE ACAD (KAZA-Non-standard)
申请日期2024-09-03
专利号RU2834629-C1
成果简介NOVELTY - Invention relates to animal breeding, in particular to dairy cattle breeding, and can be used in evaluation and selection of dairy cows of technological type for robotic milking, namely as a method of evaluation and selection of cows by robotic suitability index. Method involves evaluation of first-calf cows by intensity of the milking process and intensity of lactation, wherein the robotic suitability index is determined from the average value of the sum of the estimated indicators: intensity of the milking process and intensity of lactation; after evaluating each animal by the robotic suitability index, finding the arithmetic mean value and the mean square deviation of the given indicator for the group of evaluated cows, if the robotic suitability index is greater than the arithmetic mean value for the evaluated group by 1 sigma (M+1σ) are referred to animals with high robotic suitability index, less than the arithmetic mean value for the evaluated group by 1 sigma (M-1σ) – with a low robotic suitability index, with an intermediate value – an average robotic suitability index, where M is the arithmetic average value of the indicator; σ is the mean square deviation of the index; cows with a high index are selected for the breeding nucleus, with an average index for the production group, and with a low index for the culling group. USE - Animal breeding. ADVANTAGE - Higher objectivity of evaluation and selection of cows by technological criteria for robotic milking and efficiency of use of robotic milking installation. 1 cl, 4 tbl
IPC 分类号A01K-067/02
国家俄罗斯
专业领域农业科学
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/15265
专题中国科学院新疆生态与地理研究所
作者单位
KAZAN VETERINARY MEDICINE ACAD (KAZA-Non-standard)
推荐引用方式
GB/T 7714
SHARIPOV D R,KAYUMOV R R,YAKIMOV O A,et al. METHOD FOR EVALUATION AND SELECTION OF COWS BY ROBOTIC SUITABILITY INDEX. RU2834629-C1[P]. 2024.
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