Application, Utilization and Uptake of Artificial Insemination Technology to Smallholder Farmers in the Traditional Agro-Pastoral Livestock Farming System: A Case of Mpwapwa District in the Central Zone of Tanzania

Author:

Kabuni Kabuni Thomas1ORCID,Komba Erick Vitus Gabriel1,Kabululu Mwemezi1,Mwalingo Malongo1,Matimya Geofrey1,Laven Richard2,Parkinson Timothy2,Peters Andrew3

Affiliation:

1. Tanzania Livestock Research Institute

2. Massey University

3. The University of Edinburgh

Abstract

Abstract Cattle breeding in the central zone of Tanzania is largely by unproven homebred bulls, with very limited use of artificial insemination (AI). Hence, beef herds in the region remain largely unimproved, with relatively low genetic merit and productivity. An outreach program was developed by the Tanzania Livestock Research Institute (TALIRI) to pilot AI service delivery to smallholder farmers in the central zone of Tanzania, with the objectives of: identifying the processes required to develop an AI service; and improving farmers’ understanding of the potential benefits to their herds through using AI. Smallholder farmers (100) in the Mpwapwa district of the Dodoma region of Tanzania were recruited into the program. 200 cows were involved in the programme composed of the following breeds: Mpwapwa (100), Tanzania Short-horned Zebu (70) and Boran (30). The AI bulls used were from Mpwapwa and Boran breeds kept at the National Artificial Insemination Centre (NAIC) in Tanzania, selected based on pedigree information and growth performance. All cows were synchronized prior to AI using a prostaglandin (PG)-based programme. Of the 200 cows, 110 cows were inseminated following oestrus observed after 1st PG, with 90 non-responding cows receiving a 2nd PG injection at day 11 with fixed time AI (FTAI) 72 hours later. Of the 200 cows, 110 (55%; 95%CI 48-62%) became pregnant to AI. Bulls were introduced into the herd for 60 days, starting 60 days after FTAI, with 80/90 cows (89%; 95%CI 81-94%) which did not get pregnant to AI becoming pregnant during this period. For widespread uptake of AI, the following issues need to be addressed: (i) the inability of farmers to accurately detect oestrus, probably necessitating use of low-cost whole herd FTAI programs; (ii) the dearth of trained AI technicians; and (iii) low background fertility of cows.

Publisher

Research Square Platform LLC

Reference17 articles.

1. Bó GA, C.L, Chesta, P, Balla, F, Pincinato, D, Peres, L, Marafia, D, Aviles, M, Menchaca, A, Veneranda, G, and Baruselli, PS., 2005. Implementacion de programas de inseminación artificial en rodeos de cria de argentina. Proceeding VI Simposio Internacional de Reproducción Animal.97–128

2. Chawala, A.R., 2020. Investigation of farmer-led breeding goals and strategies in smallholder dairy farming systems to cope with variations in feed sources and quality. PhD Thesis, College of Medicine and Veterinary Studies, Royal (Dick) School of Veterinary Studies, the University of Edinburgh

3. Comparison of Fixed-time Artificial Insemination and Natural Mating on Pregnancy rates in Mpwapwa Breed Cattle;Kabuni KT;Tanzania Veterinary Journal,2022

4. Kabuni, K.T., 2017. Comparative study between fixed time artificial insemination and natural mating on reproductive performance (conception and pregnancy rates) of Mpwapwa breed cows in Tanzania. MSc. Thesis, Institute of Veterinary, Animal and Biomedical Sciences (IVABS), Massey University, Palmerston North, New Zealand.

5. Seasonal Changes in Nutritional Status and Reproductive Performance of Zebu cows kept under a Traditional Agro-Pastoral system in Tanzania;Kanuya NL;Tropical Anim Health Production,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3