Field assessment of a BCS measuring device at timed AI in crossbread dairy cows of Amazonian smallholders

IF 0.7 4区 环境科学与生态学 Q4 ECOLOGY Acta Amazonica Pub Date : 2023-09-01 DOI:10.1590/1809-4392202202581
Luiz Francisco. M. PFEIFER, Ingrid Pedraça BARBOSA, Patrick PIONTE, Luiz Gustavo B. SIQUEIRA
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Abstract

ABSTRACT This study aimed to evaluate the efficiency of a body condition score (BCS) assessment device (BCAD) to identify cows with an adequate BCS and, presumably, a higher fertility when subjected to timed artificial insemination (TAI). We evaluated cows at smallholder dairy farms in the state of Rondonia, Brazil. Crossbred dairy cows (n = 141) were subjected to a TAI protocol and classified according to the BCAD scale as low BCS (red; n = 55) or adequate BCS (green; n = 86). The outcome pregnancy per artificial insemination (P/AI) was analyzed by logistic regression. Cows classified as green by the BCAD had a significantly greater P/AI (41 of 86; 47.7%) than cows classified as red (15 of 55; 27.3%; P = 0.01). In conclusion, the BCS assessment device was an effective tool to detect cows more likely to become pregnant due to their adequate BCS and, consequently, better fertility in TAI.
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亚马逊小农十字面包奶牛BCS定时人工智能测量装置的现场评估
摘要本研究旨在评估体况评分(BCS)评估装置(BCAD)在确定奶牛体况评分(BCS)充足并可能在进行定时人工授精(TAI)时获得较高生育能力方面的效率。我们对巴西朗多尼亚州的小农场的奶牛进行了评估。杂交奶牛(n = 141)接受TAI方案,并根据BCAD量表分为低BCS(红色;n = 55)或足够的BCS(绿色;N = 86)。采用logistic回归分析人工授精妊娠结局(P/AI)。被BCAD分类为绿色的奶牛P/AI显著更高(41 / 86;47.7%)比被分类为红色的牛(55只中的15只;27.3%;P = 0.01)。综上所述,BCS评估装置是一种有效的工具,可以检测出由于BCS充足而更容易怀孕的奶牛,从而在TAI中获得更好的生育能力。
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来源期刊
Acta Amazonica
Acta Amazonica PLANT SCIENCESECOLOGYZOO-ECOLOGY
CiteScore
1.70
自引率
0.00%
发文量
34
审稿时长
22 weeks
期刊介绍: Acta Amzonica is a multidisciplinary, peer-reviewed, open access, free-of-charge scientific journal for research in and about the Amazon region, published since 1971 by the Instituto Nacional de Pesquisas da Amazônia - INPA, in Brazil. The journal publishes quarterly issues containing articles and short communications in English across a broad range of disciplines, including Agronomy and Forestry, Animal Sciences and Fisheries, Biodiversity and Conservation, Biotechnology, Chemistry and Pharmacology, Environmental Sciences, Food Sciences, Geosciences, Health Sciences, Human and Social Sciences, and Materials Technology.
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