Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/26714
Title: Genetic evaluation of test-day milk yields from smallholder dairy production systems in Kenya using genomic relationships
Contributor(s): Ojango, J M K (author); Mrode, R (author); Rege, J E O (author); Mujibi, D (author); Strucken, E M  (author)orcid ; Gibson, J  (author); Mwai, O (author)
Publication Date: 2019-06
Early Online Version: 2019-04-04
Open Access: Yes
DOI: 10.3168/jds.2018-15807Open Access Link
Handle Link: https://hdl.handle.net/1959.11/26714
Abstract: Efforts to improve dairy production in smallholder farming systems of East Africa over the past decade have had limited impact because of the lack of records on performance to guide targeted breeding programs. Estimates of genetic parameters in these systems are lacking. Using data generated through a project (“Germplasm for Dairy Development in East Africa”) in Kenya and a genomic relationship matrix from genotypic records, we examined the potential impact of different models handling contemporary groups or herd effects on estimates of genetic parameters using a fixed regression model (FRM) for test-day (TD) milk yields, and the covariance structure for TD milk yield at various stages of lactation for animals using a random regression model (RRM). Models in which herd groups were defined using production levels derived from the data fitted the data better than those in which herds were grouped depending on management practices or were random. Lactation curves obtained for animals under different production categories did not display the typical peak yield characteristic of improved dairy systems in developed countries. Heritability estimates for TD milk yields using the FRM varied greatly with the definition of contemporary herd groups, ranging from 0.05 ± 0.03 to 0.27 ± 0.05 (mean ± standard error). The analysis using the RRM fitted the data better than the FRM. The heritability estimates for specific TD yields obtained by the RRM were higher than those obtained by the FRM. Genetic correlations between TD yields were high and positive for measures within short consecutive intervals but decreased as the intervals between TD increased beyond 60 d and became negative with intervals of more than 5 mo. The magnitude of the genetic correlation estimates among TD records indicates that using TD milk records beyond a 60-d interval as repeated measures of the same trait for genetic evaluation of animals on smallholder farms would not be optimal. Although each individual smallholder farmer retains only a few animals, using the genomic relationship between animals to link the large number of farmers operating under specified environments provides a sufficiently large herd-group for which a breeding program could be developed.
Publication Type: Journal Article
Source of Publication: Journal of Dairy Science, 102(6), p. 5266-5278
Publisher: Elsevier Inc
Place of Publication: United States of America
ISSN: 0022-0302
1525-3198
Field of Research (FOR): 070201 Animal Breeding
Socio-Economic Outcome Codes: 830302 Dairy Cattle
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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