Techniques for Reproductive Efficiency with Reference to Oestrus Detection and Timing of Insemination in Cattle

Chaudhari, S. U. R.; Sabo, Y. G.

doi:10.3923/jas.2006.2141.2150

Cited by 5 publications

(3 citation statements)

References 42 publications

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“…Also, they have low fertility; this might be due to poor heat detection, poor signs of estrus, and irregularity of the estrous cycle [58]. Chaundhari and Sabo [11] addressed that, up to 15% of the cattle presented for insemination are really not in heat; this leads to loss of cost to the owners. Usually, detection of heat is known to be one of the most difficult tasks for successful AI activities [41].…”

Section: Heat Detection and Time Of Inseminationmentioning

confidence: 99%

“…In spite of the wide application of ES and mass AI, the rate of success in our country is still low [1,[9][10][11][12][13][14][15][16][17]. Fertility in dairy cows may be expected towards of ES [18] which is one of the alternatives for the control and manipulation of reproduction [19].…”

Section: Introductionmentioning

confidence: 99%

“…Fertility in dairy cows may be expected towards of ES [18] which is one of the alternatives for the control and manipulation of reproduction [19]. Generally, effectiveness of ES followed by mass AI service/practice is below expectation of smallholder farmers in Ethiopia [1,2,[9][10][11][12][13][14][15][16][17][20][21][22][23][24][25][26][27][28][29][30][31]. e aim of the paper was, therefore, to overview the challenges and opportunities on ES and AI practice in dairy cows for smallholders in Ethiopia with the following specific objectives:…”

Section: Introductionmentioning

confidence: 99%

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Challenges and Opportunities on Estrus Synchronization and Mass Artificial Insemination in Dairy Cows for Smallholders in Ethiopia

Abebe

Alemayehu

2021

International Journal of Zoology

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In this paper, the potentials and constraints on estrus synchronization (ES) and artificial insemination (AI) practice for dairy cattle producers were overviewed. Compared to other African countries, Ethiopia has large numbers of dairy cattle population. However, the self-sufficiency in milk production is not yet attained due to the presence of a lot of limitations that hamper the success of ES and mass AI practice in many parts of the country such as improper selection of cows/heifers, inseminating a large number of cows/heifers in one day at a specific place (which creates stress for both AI technicians and female animals), absence of a data recording system, lack of clearly defined share of responsibilities among stakeholders, poor communication and collaboration among stakeholders, lack of motivations and skills of AI technicians, lack of support and readily available inputs, feed shortages, improper heat detection by smallholders and time of insemination, and lower reproductive performances of both indigenous and crossbred cows which consequently contributed to the unsuccessfulness of the technology.

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Section: Heat Detection and Time Of Inseminationmentioning

confidence: 99%