Fertility in Gyr Cows (Bos indicus) with Fixed Time Artificial Insemination and Visual Estrus Detection Using a Classification Table.

Journal of veterinary medicine Pub Date : 2014-01-01 Epub Date: 2014-08-26 DOI:10.1155/2014/404363
Lilido Nelson Ramírez-Iglesia, Rafael María Roman Bravo, Adelina Díaz de Ramirez, Leandro J Torres
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引用次数: 2

Abstract

The aim of this research was to compare two artificial insemination protocols (AIP): hormonal synchronization with fixed time artificial insemination (SC-FTAI) and the use of a table based on visual observation of estrus signs (VO) in order to identify cows in natural or spontaneous estrus being assigned to AI (NSE-IA). Two groups were formed: in the first group 109 cows were assigned to SC-FTAI, in which a commercial protocol is used; the second one included 108 randomly chosen cows, which were assigned to NSE-AI and in this group a modified table was used. Response variable was first service fertility rate (FSF), which was coded 1 for pregnant and 0 for empty. Predictor variables were AIP, postpartum anestrus, daily milk yield, body condition score at AI and calving number. Statistical analyses included association chi-square tests and logistic regression. Results showed an overall 41.94% FSF and a significant association was detected (P < 0.05) between FSF and daily milk yield; pregnancy rates were 42.20% and 41.67% for the SC-FTAI and NSE-IA groups, respectively (P > 0.05). The odds ratio for the effect of AIP was only 1.050, suggesting no differences in FSF between groups. The NSE-AI protocol can enhance both the technique of VO and reproductive efficiency. Further validation of the table is required.

Abstract Image

固定时间人工授精和分类表视觉发情检测对母牛生育力的影响。
本研究的目的是比较两种人工授精方案(AIP):激素同步与固定时间人工授精(SC-FTAI)和使用基于发情迹象(VO)的视觉观察表,以识别处于自然或自发发情的奶牛被分配给AI (NSE-IA)。试验分为两组:第一组109头奶牛使用SC-FTAI,采用商业化方案;第二组随机选取108头奶牛,采用改良表进行NSE-AI处理。响应变量为首次服务生育率(first service fertility rate, FSF),怀孕为1,空为0。预测变量为AIP、产后停发、日产奶量、AI时体况评分和产犊数。统计分析包括关联卡方检验和逻辑回归。结果表明:饲粮总肥力为41.94%,肥力与日产奶量显著相关(P < 0.05);SC-FTAI组和NSE-IA组的妊娠率分别为42.20%和41.67% (P > 0.05)。AIP作用的比值比仅为1.050,提示两组间FSF无差异。NSE-AI协议可以提高VO技术和繁殖效率。需要进一步验证该表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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