Evidence map›Paper›PMID 42667635›Full record

ArticleVeterinary medicine and science2026

The Estimation of Phenotypic and Genetic Parameters for Growth Rate Traits of Abergelle Goat Under the Community-Based Breeding Programme in the North-Eastern Parts of Ethiopia.

Yeshiwas Walle Abebe, Wossenie Shibabaw Meberatie, Zeleke Tesema Wondie

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Article in Veterinary medicine and science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 authors.

Yeshiwas Walle AbebeBahir Dar University, College of Agriculture and Environmental Sciences, Bahir Dar, Ethiopia.ORCID https://orcid.org/0000-0001-7186-9713
Wossenie Shibabaw MeberatieBahir Dar University, College of Agriculture and Environmental Sciences, Bahir Dar, Ethiopia.ORCID https://orcid.org/0000-0001-6664-1351
Zeleke Tesema WondieAmhara Agricultural Research Institute, Debere Birhan Agricultural Research Center, Debere Berhan, Ethiopia.ORCID https://orcid.org/0000-0003-0226-8572

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6 · The paper itself

Abstract

backgroundUnderstanding phenotypic performance and genetic parameter estimation is important for effective genetic progress in animal breeding and genetics. The data were collected for 6 years (2018-2023) from the established village of Abergelle goat community-based breeding programme (CBBP) area in Sekota Dryland Agricultural Research Center. The investigated traits were birth weight (BWT), 3-month weight (TMWT), 6-month weight (SMWT), 9-month weight (NMWT), yearling weight (YWT), average daily weight gain from birth to 3 months (ADG1), average daily weight gain from 3 to 6 months (ADG2), average daily weight gain from 6 to 9 months (ADG3) and average daily weight gain from 9 months up to yearling age (ADG4).

objectivesTo evaluate the phenotypic performance and genetic parameter estimation of growth rate traits of Abergelle goat breeds in CBBP in scale-up villages in north-eastern parts of Ethiopia.

methodsFour univariate animal models were fitted using the average information restricted maximum likelihood (AI-REML) procedure to estimate variance components.

resultsThe overall least square mean (LSM) ± standard error (SE) of ADG1, ADG2, ADG3 and ADG4 were 58.2 ± 2.27, 37.8 ± 2.04, 19.2 ± 0.7 and 10.5 ± 0.12 g per day, respectively. The direct heritability estimates for BWT, TMWT, SMWT, NMWT, YWT, ADG1, ADG2, ADG3 and ADG4 were 0.34 ± 0.070, 0.45 ± 0.062, 0.40 ± 0.040, 0.42 ± 0.07, 0.41 ± 0.14, 0.18 ± 0.04, 0.03 ± 0.001, 0.19 ± 0.04 and 0.19 ± 0.04, respectively. Genetic correlations among BWT, TMWT, SMWT, NMWT and YWT were in the range of 0.068-0.84 and phenotypic correlations were also in the range of 0.23-0.89. Genetic correlations for BWT was moderate and higher among SMWT, NMWT and YWT, indicating correlated responses. Thus, BWT had no strong link to later growth in Abergelle goats under CBBP scale-up village.

conclusionThe moderate to high direct heritability estimates indicate that selection for growth would be effective in achieving genetic improvement.

Indexed as

BreedingGoatsAnimalsEthiopiaFemaleMalePhenotypebody weightgenetic correlationgenetic parametergrowth rateheritability

Identifiers

PMID42667635
PMCPMC13525851

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