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43577

GENETIC PARAMETERS FOR GROWTH PERFORMANCE TRAITS OF EGYPTIAN BARKI LAMBS USING RANDOM REGRESSION MODEL

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Last updated: 03 Jan 2025

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Abstract

Variance components and genetic parameters for growth traits were estimated for Barki lambs using the average information REMLF90 (AIREMLF90). A total of 3205 Barki lambs' records over the period from 1984 to 2017 from experimental Borg Al-Arab station belonging to Animal Production Research Institute (APRI) were analyzed by fitting Random Regression Model (RRM) with Legendre polynomials (LPs) for body weight traits from birth up to 480 days. Gender, type of birth, year, season and age of dam were considered as fixed effects in addition to the fixed regression on Legendre polynomials, while random regression of additive genetic and permanent environmental effects were considered as random factors in the model. The results showed that all fixed factors and some interactions were significant for all studied traits (P<0.05). Quadratic equation was the best description for growth curve. Additive genetic and permanent environment variances ranged from 0.88 to 6.08 and from 0.88 to 15.33 for birth and thirteen months weights, respectively. Additive genetic and permanent environment covariances ranged from 0.05 to 16.06 and from 0.08 to 9.20 for birth with six months weights and for weaning with ten months weights, respectively. Direct and total heritabilities ranged from 0.05 to 0.41 and from 0.08 to 0.74 for four months and birth weights, respectively. Additive, genetic and phenotypic correlation coefficients were the lowest between birth weight with other studied traits and 
the highest between ten months weight with other studied traits. Phenotypic variances were oscillated between 2.27 for birth weight to 22.56 for seven months weight, while, residual variances were oscillated between 0.06 for birth weight to 14.05 for four months weight. Therefore, ten months of age recommended to be the best criterion for selecting Egyptian Barki lambs for meat production. 

DOI

10.21608/ajs.2019.43577

Keywords

Barki sheep, Growth performance, genetic and non-genetic factors, Random regression model

Authors

First Name

Sh.

Last Name

Melak

MiddleName

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Affiliation

Animal Production Research Institute (APRI), Agriculture Research Center (ARC), Ministry

Email

melakshaa@yahoo.com

City

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Orcid

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First Name

H.

Last Name

Mansour

MiddleName

-

Affiliation

Animal Production Dept., Fac. of Agric., Ain Shams Univ., P.O. Box 68, Hadyek Shoubra 11241 Cairo, Egypt

Email

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City

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Orcid

-

First Name

A.

Last Name

Aboul-Naga

MiddleName

M.

Affiliation

Animal Production Research Institute (APRI), Agriculture Research Center (ARC), Ministry of Agriculture and Land Reclamation, Dokki, Giza, Egypt

Email

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City

-

Orcid

-

First Name

Mona

Last Name

Osman

MiddleName

A.

Affiliation

Animal Production Research Institute (APRI), Agriculture Research Center (ARC), Ministry of Agriculture and Land Reclamation, Dokki, Giza, Egypt

Email

-

City

-

Orcid

-

First Name

A.

Last Name

Elbeltagy

MiddleName

R.

Affiliation

Animal Production Research Institute (APRI), Agriculture Research Center (ARC), Ministry of Agriculture and Land Reclamation, Dokki, Giza, Egypt

Email

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City

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Orcid

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First Name

Manal

Last Name

El Sayed

MiddleName

-

Affiliation

Animal Production Dept., Fac. of Agric., Ain Shams Univ., P.O. Box 68, Hadyek Shoubra 11241 Cairo, Egypt

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-

Orcid

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Volume

27

Article Issue

1

Related Issue

6761

Issue Date

2019-03-01

Receive Date

2019-02-28

Publish Date

2019-03-01

Page Start

383

Page End

393

Print ISSN

1110-2675

Online ISSN

2636-3585

Link

https://ajs.journals.ekb.eg/article_43577.html

Detail API

https://ajs.journals.ekb.eg/service?article_code=43577

Order

36

Type

Original Article

Type Code

668

Publication Type

Journal

Publication Title

Arab Universities Journal of Agricultural Sciences

Publication Link

https://ajs.journals.ekb.eg/

MainTitle

GENETIC PARAMETERS FOR GROWTH PERFORMANCE TRAITS OF EGYPTIAN BARKI LAMBS USING RANDOM REGRESSION MODEL

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Article

Created At

22 Jan 2023