Evidence map›Paper›PMID 38379342›Full record

ArticleVeterinary medicine and science2024

Genetic variance components of the growth curve for Isfahan indigenous chicken.

Mostafa Ghaderi-Zefrehei, Farjad Rafeie, Sonia Zakizadeh, Mahdi Elahi Torshizi, Sunday O Peters, Jacqueline Smith

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Article in Veterinary medicine and science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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4citing 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

4 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

6 authors.

Mostafa Ghaderi-ZefreheiDepartment of Animal Science, Faculty of Agriculture, Yasouj University, Yasouj, Iran.ORCID 0000-0002-9710-883X
Farjad RafeieDepartment of Agricultural Biotechnology, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran.
Sonia ZakizadehAnimal Sciences Research Institute of Iran, Agricultural Research, Education and Extension Organization, Karaj, Iran.
Mahdi Elahi TorshiziDepartment of Animal Science, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Sunday O PetersDepartment of Animal Science, Berry College, Mount Berry, Georgia, USA.
Jacqueline SmithThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeing able to model a growth curve using three or four non-linear functional parameters could help explain the growth phenomenon in a precise way and would allow the comparison of an animal's development rate, optimize management and feeding strategies and guide animal production strategies.

objectiveThe goal of this study was to estimate the genetic parameters of growth traits of Isfahan indigenous chicken in Iran and to determine the best non-linear model describing the growth curve.

methodsThe prediction of additive genetic parameters was performed using the REML method by WOMBAT. Direct heritability of the studied traits and genetic correlations between them were obtained. The Logistic, Gompertz, von Bertalanffy, Brody, Negative exponential, Weibull, Janoschek and Bridges models were compared based on the coefficient of determination (R

resultsThe Gompertz model was identified as the best model for describing the growth curve for Isfahan native chicken. The heritability of maturity weights (A), initial weight (B) and maturity rate (K) parameters were 0.223 ± 0.002, 0.016 ± 0.005 and 0.087 ± 0.001, respectively.

conclusionThis study shows that Isfahan indigenous chicken has the genetic potential for improving growth and reproduction based on their desirable heritabilities and correlations using appropriate models.

Indexed as

ChickensReproductionAnimalsBody WeightIranPhenotypegenetic correlationheritabilityindigenous chickennon-linear model

Identifiers

PMID38379342
PMCPMC10879718

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