A Comparative Analysis of Breeding Information Sourcing and Net Margin Estimates of Inseminations and Replacement Decisions of Smallholder Dairy Farmers
Abstract
294 words
Milk deficit (MD) in western Kenya (MD) has created high
demand for dairy breeding stock. This is mainly sourced from
the neighbouring milk surplus Rift Valley (RV) region. Because
of limited access to artificial insemination (AI) services, supply
of breeding stock is insufficient and stock prices therefore high
for most farmers. Farmers therefore inseminate (breed) using
bulls of unproven and often poor progeny or purchase cullcows.
Cull-cows are either too old or problematic. To quantify
the benefits associated with these decisions, this study analysed
breeding information smallholder farmers seek and the net
margins associated with their insemination and replacement
decisions. The study employed a cross-sectional survey of
households in both the MD and RV areas. In both regions,
majority of the farmers (58 – 67%) use AI to upgrade their
stock while 38 – 44% use bulls. Milk yield potential was the
most important consideration when purchasing a heifer or making
a cull-cow replacement in both regions. Fertility was however
more important for farmers in MD areas. While farmers in the
RV region seek information on breed, source and breeders’
reputation, performance and price when making insemination
and replacement decisions, those in MD areas only seek for
price and source of the stock. Per day of productive life, the
estimated net margins for heifer progeny was higher (p = 0.000)
for AI progenies (Ksh 132.03+ 11.14) than for bull progenies
(Ksh 66.43+2.83) while net margins for heifer progenies (Ksh
77.92 + 6.80) was comparable (p = 0.092) to that from cullcow
progenies (Ksh 63.48 + 5.33). Results demonstratedifferences in breeding decisions between MD and RV areas
and that AI is more beneficial than a bull, and that herd
replacement with heifers result in comparable benefits with
those from cull-cows under smallholder dairy breeding
circumstances.
Subjects
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