Status of On-Farm Artificial Insemination Services and Effectiveness of Oestrus Synchronization in Dairy Cattle Under Small-Scale Dairy Farming System.

IF 2.1 3区 农林科学 Q2 VETERINARY SCIENCES
Temesgen Milkias, Chencha Chebo, Alemayehu Worku
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Abstract

Background: Hormonal synchronization of oestrous has been an available technology to improve the efficiency of field artificial insemination (AI) in the dairy sector.

Objective: This study was aimed at investigating the breeding practices, status of AI and effectiveness of oestrus synchronization (ES) on small-scale dairy farming in selected districts of the Wolaita Zone.

Methods: Cross-sectional survey and retrospective data on the oestrus synchronization were collected and analysed. Descriptive statistics, chi-square tests, and indexed ranking procedures were applied to summarize the study data.

Results: The predominant mating system practiced by dairy farmers was AI (55.6%), and 73.5% of farmers apply controlled mating. The highest response rate to PGF2α administration was obtained for cattle of Sodo town (89.5%), followed by Boloso Sore (78.8%). A 30%-45.2% pregnancy rate was obtained across the study districts. Crossbred cattle have shown significantly (p > 0.001) higher response (87.1%) and pregnancy rates (47.9%) than the local animals. Likewise, 9.6%-18.5% of the birth rate was obtained from this study. Farmers' overall perceptions and desire to continue using oestrus synchronization were improving as a result of their application experiences over time. Moreover, shortage of AI inputs and AI technicians, heat detection skills, and inconsistency of the AI service during festivals, holidays, and weekends were reported as the major challenges prevailing in the study districts.

Conclusions: The study provided insights on improving input supply, accurate heat detection and intensified cattle management are necessities to enhance field AI services and increase pregnancy rates in synchronized animals.

小规模奶牛养殖系统下奶牛人工授精服务现状及同期发情效果
背景:发情激素同步已成为提高奶牛现场人工授精效率的一项有效技术。目的:了解沃尔莱塔地区部分地区小规模奶牛养殖场的养殖实践、人工授精现状及同期发情(ES)效果。方法:采用横断面调查法和回顾性调查法,对同期发情情况进行分析。采用描述性统计、卡方检验和索引排序程序对研究数据进行汇总。结果:奶农主要采用人工智能配种(55.6%),73.5%的奶农采用控制配种。Sodo镇的牛对PGF2α的应答率最高(89.5%),其次是Boloso索尔(78.8%)。整个研究区的怀孕率为30%-45.2%。杂交牛的应答率(87.1%)和妊娠率(47.9%)明显高于当地动物(p > 0.001)。同样,从本研究中获得了9.6%-18.5%的出生率。随着时间的推移,农民对继续使用发情同步技术的总体认知和愿望正在改善。此外,人工智能投入和人工智能技术人员短缺,热检测技能不足,人工智能服务在节假日和周末期间不一致被报道为研究地区普遍存在的主要挑战。结论:改善投入物供应、准确热探测和强化牛管理是加强野外人工智能服务和提高同步动物妊娠率的必要条件。
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来源期刊
Veterinary Medicine and Science
Veterinary Medicine and Science Veterinary-General Veterinary
CiteScore
3.00
自引率
0.00%
发文量
296
期刊介绍: Veterinary Medicine and Science is the peer-reviewed journal for rapid dissemination of research in all areas of veterinary medicine and science. The journal aims to serve the research community by providing a vehicle for authors wishing to publish interesting and high quality work in both fundamental and clinical veterinary medicine and science. Veterinary Medicine and Science publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper. We aim to be a truly global forum for high-quality research in veterinary medicine and science, and believe that the best research should be published and made widely accessible as quickly as possible. Veterinary Medicine and Science publishes papers submitted directly to the journal and those referred from a select group of prestigious journals published by Wiley-Blackwell. Veterinary Medicine and Science is a Wiley Open Access journal, one of a new series of peer-reviewed titles publishing quality research with speed and efficiency. For further information visit the Wiley Open Access website.
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