Evidence map›Paper›PMID 34480429›Full record

ArticleVeterinary medicine and science2022

Phenotypic and genetic parameter estimates for early growth, growth rate and growth efficiency-related traits of Fogera cattle in Ethiopia.

Demelash Kassahun, Mengistie Taye, Damitie Kebede, Mekonen Tilahun, Assemu Tesfa, Addisu Bitew, Adebabay Kebede, Mulugeta Meseret, Eyasu Lakew, Tewodros Bimrow and 1 more

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Article in Veterinary medicine and science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

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7citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Demelash KassahunAnimal Production and Technology Department, College of Agriculture and Environmental Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Mengistie TayeAnimal Production and Technology Department, College of Agriculture and Environmental Sciences, Bahir Dar University, Bahir Dar, Ethiopia.ORCID 0000-0001-6795-9943
Damitie KebedeAnimal Production and Technology Department, College of Agriculture and Environmental Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Mekonen TilahunAndassa Livestock Research Center, Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia.
Assemu TesfaAndassa Livestock Research Center, Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia.
Addisu BitewAndassa Livestock Research Center, Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia.
Adebabay KebedeAndassa Livestock Research Center, Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia.
Mulugeta MeseretAndassa Livestock Research Center, Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia.
Eyasu LakewAndassa Livestock Research Center, Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia.
Tewodros BimrowAndassa Livestock Research Center, Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia.
Aynalem HaileInternational 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

backgroundUnderstanding the phenotypic and genetic parameter estimates of growth traits is important for an effective livestock genetic improvement programme.

objectivesIn this study, we evaluated the phenotypic performances and estimated genetic parameters for birthweight (BWT), weaning weight (WWT), pre-weaning average daily gain (PADG), pre-weaning Kleiber ratio (PKR), pre-weaning growth efficiency (PGE) and pre-weaning relative growth rate (PRGR) of Fogera cattle in Ethiopia.

methodsGrowth data collected from 2000 to 2018 in Andassa Livestock Research Center were used for the study. General linear model of SAS 9.1 was used to estimate the least squares mean (LSM) ± standard error (SE) for phenotypic performances, and AI-REML of Wombat software combined with a series of five single-trait animal models to estimate phenotypic variance and its direct, maternal and residual components. Calf sex, calf birth season and calf birth year were the fixed effects considered.

resultsThe overall LSM ± SE BWT, WWT, PADG, PKR, PGE and PRGR were 21.28 ± 0.05 kg, 97.99 ± 0.67 kg, 320.29 ± 2.79 g, 10.10 ± 0.04, 3.51 ± 0.35 and 1.95 ± 0.00, respectively. All the fixed effects considered significantly (p < 0.001) affected all the traits. The direct heritability estimates for BWT, WWT, PADG, PKR, PGE and PRGR were 0.21 ± 0.07, 0.26 ± 0.01, 0.55 ± 0.19, 0.53 ± 0.18, 0.33 ± 0.00 and 0.50 ± 0.00, respectively. The genetic correlations among the traits ranged from negative (-0.20 ± 0.04; BWT-PKR) to positive (0.99 ± 0.00; BW-PGE, BW-GR, WWT-PGE, WWT-PGR, ADG-PGR, PKR-PGR, PKR-PGE and PGE-PGR). Similarly, the phenotypic correlations ranged from -0.03 ± 0.20 to 0.99 ± 0.01; BWT-PGE, BWT-PRGR, WWT-PGE, WWT-PRGR, PKR-PGE, PKR-PRGR and PGE-PRGR).

conclusionThe positive and larger phenotypic and genetic correlations between most of the traits implied that selection based on one trait could improve the other traits. However, the negative phenotypic and genetic correlation between BWT-PKRA implies that selection of Fogera calves based on either of the traits has an adverse effect on the other. Therefore, caution should be taken when designing the selection criteria for growth improvement.

Indexed as

Body WeightAnimalsBirth WeightCattleEthiopiaPhenotypeWeaningFogera cattlegenetic parameter estimatesgrowth efficiencygrowth performanceKlieber ratio

Identifiers

PMID34480429
PMCPMC8788963

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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.