Evidence map›Paper›PMID 39977394›Full record

ArticlePloS one2025

Estimation of genetic parameters and genetic trends for growth, reproductive, and survival traits of Bonga sheep using multi-variate animal model.

Metsafe Mamiru, Aberra Melesse, Aynalem Haile, Tesfaye Getachew

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Identification ofFrontiers in veterinary science · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Metsafe MamiruAnimal Research Directorate, Bonga Agricultural Research Center, Bonga, Ethiopia.ORCID 0009-0002-8077-0437
Aberra MelesseDepartment of Animal and Range Sciences, Hawassa University, Hawassa, Ethiopia.
Aynalem HaileThe International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia.
Tesfaye GetachewThe International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The community-based breeding program was introduced to enhance the productivity of Bonga sheep. Data evaluating animals' potential regarding key traits was gathered from 2009-2021. This study estimated covariance components and genetic parameters for growth (birth, weaning, and six-months weight), reproductive (lambing interval, annual reproductive rate, litter size at birth and weaning, litter weight at birth and weaning), and survival (0-3, 3-6, and 0-6 months) traits using a multivariate animal model. The Average Information Restricted Maximum Likelihood method in WOMBAT was used for growth and reproductive traits, while Derivative-free MUltivariate analysis was employed for survival traits. The results revealed that the additive heritability for growth, reproductive, and survival traits ranged from 0.15-0.26, 0.06-0.08, and 0.10-0.17, respectively. The variance ratio of maternal permanent environment for growth traits ranged from 0.07-0.25, while that of animal environment for reproductive traits ranged from 0.33-0.45. Maternal genetic heritability for birth, weaning, and six-months weights were 0.14, 0.19, and 0.19, respectively, while it ranged from 0.01-0.14 for reproductive traits. Additive genetic correlations among growth traits ranged from 0.04-0.79, and from 0.36-0.62 between growth and reproductive traits. Low to high additive genetic correlations (0.002-0.537) were recorded between growth and survival traits. Significant (P<0.001) and positive genetic trends were observed for most reproductive traits, though annual genetic trends were low. Moderate additive heritability for growth traits indicates potential for genetic improvement via selection, while the pronounced environmental impact on reproductive and survival traits suggests the need for improved management practices in addition to selection. The presence of positive genetic correlations of growth traits with reproductive and with survival traits suggests that selecting for improved weaning/six-month weight has the potential to enhance ewe productivity and lamb survival. This highlights the importance of considering both growth and reproductive/survival traits in breeding programs to achieve optimal outcomes in sheep production.

Indexed as

ReproductionAnimalsBreedingFemaleLitter SizeMaleModels, AnimalQuantitative Trait, HeritableSheepWeaning

Identifiers

PMID39977394
PMCPMC11841892

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.