Estimation of additive and non-additive genetic variance component for growth traits in Adani goats

Sadeghi, Seyed Abu Taleb; Rokouei, Mohammad; Valleh, Mehdi Vafaye; Abbasi, Mokhtar Ali; Faraji-Arough, Hadi

doi:10.1007/s11250-019-02064-0

Cited by 10 publications

(4 citation statements)

References 29 publications

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“…The value is comparable to 0.22 estimated for Boer goats, 0.28 estimated for Black Bengal goats and 0.26 estimated for Ardi goats by [24], [5] and [19], respectively. The current estimate is higher than 0.16 estimated by [12] for Kenya Dual Purpose goats, 0.18 estimated by [25] for Toggenburg goats in Kenya, 0.04 observed by [23] for indigenous Nigeria goats, 0.18 shown by [26] for Adani goats and 0.06 observed by [27] for Sudan desert goats. However, it was also lower than 0.4 estimated for SEA goats by [11], 0.04 estimated by [28] for Sudanese Nubian goats and 0.35 estimated by [19] for Damascus goats.…”

Section: Discussioncontrasting

confidence: 67%

Genetic Parameters for Growth Traits of Malya Goats and Heterosis from Crossbreds of Malya and Sukuma Goats

Chavala,

Kifaro,

Tungu

et al. 2023

AJRAVS

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The study estimated heterosis of growth traits from crossbred progeny of MalyaxSukuma goats and heritability, genetic correlation and phenotypic correlation for growth traits of Malya goats in Maswa, Tanzania. The objective was to explore strategies for crossbreeding Malya goats with the Sukuma goats. Growth performance data recorded during the implementation of a crossbreeding project for parent breeds and crossbred off-springs were used to estimate the parameters. Positive heterosis was observed for birth weight (8.19%), yearling weight (9.59%), post-weaning growth rate (19.26%)

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Section: Discussioncontrasting

confidence: 67%

Genetic Parameters for Growth Traits of Malya Goats and Heterosis from Crossbreds of Malya and Sukuma Goats

Chavala,

Kifaro,

Tungu

et al. 2023

AJRAVS

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“…The estimation of additive and nonadditive genetic parameters plays a prominent role in genetic evaluation for growth traits (1). In addition, Sadeghi et al (2) suggested that the estimation of nonadditive genetic effects played a signi cant role in the accuracy of the estimated breeding values of growth traits. Data for genetic estimation of individual and maternal heterosis of crossbreed cattle in Ethiopia are limited to research institutions and universities.…”

Section: Introductionmentioning

confidence: 99%

“…2 a =direct additive genetic variance; δ 2 p= phenotypic variance; δ2am= covariance between direct additive and maternal genetic effect; ram=genetic correlation between direct additive and maternal additive effects; h 2 a=direct additive heritability; h2m=maternal additive heritability; h 2 c=heritability of permanent environment; h 2 t=total heritability; -2LogL =-2log likelihood and δ 2 e = error variance Table2. (Co) variance components and genetic parameters for post-weaning average daily gain of Horro and their crosses 2 a =direct additive genetic variance; δ 2 p= phenotypic variance; δ 2 am= covariance between direct additive and maternal genetic effect; ram=genetic correlation between direct additive and maternal additive effects; h 2 a=direct additive heritability; h 2 m=maternal additive heritability; h 2 c=heritability of permanent environment; h 2 t=total heritability; -2LogL = -2log likelihood and δ 2 e = error variance…”

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confidence: 99%

Estimation of nonadditive and additive genetic effects on growth traits of Horro cattle

Goshu¹

2022

Trop Anim Health Prod

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The estimation of nonadditive genetic effects plays a signi cant role in the accuracy of estimated breeding values of growth traits. Data for genetic estimation of individual and maternal heterosis of crossbreed cattle in Ethiopia are limited to research institutions and universities. This paper aims to estimate the crossbreeding effects on the growth performances of Holstein FriesianxHorro and JerseyxHorro crosses in Ethiopia. The data used in the study included pedigree and weight data of animals born between 1980 and 2008. Heritability of growth traits were estimated using restricted maximum likelihood (ASREML). However, the additive, maternal, and heterosis effects of the crosses were estimated using the crossbreeding effects (CBE3) package and tting Kinghorn's Model one for growth traits. The direct and maternal heritability estimates for one-year weight, for the best model, which included the direct maternal covariance were 0.77±0.12 and 0.26±0.09, respectively. Individual heteroses estimated for Jersey and Holstein Friesian were signi cantly high and positive for one year weight (21.6±6.7 and 26.0±3.9 kg), pre-weaning average daily gain (27.4±26 and 28.9±15 g), and post-weaning average daily gain (68.8±16.6 and 61.8±9.9 g), respectively. The maternal additive effect for growth traits was mostly positive; therefore, it may be preferable to use crossbred cows resulting from purebred dams instead of using crossbred cows from crossbred dams. Signi cantly higher heterosis and additive parameters in Holstein Friesian x Horro crosses showed that crossbreeding of Horro with Holstein Friesian may be advisable in the areas of Horro cattle breeds occupied.

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“…Early growth of kids is an economically important trait that affecting profitability in goat production (Baranzadeh et al, 2012;Moghbeli et al, 2013;Sadeghi et al, 2019). Physiologically, growth of an animal is a result from a complex process of metabolism including a coordinated action of several hormones that controlled by expression of their responsible genes (Mahrous et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Appropriate growth models to describe early growth of Kejobong goat based on Growth Hormone (GH) gene sequence analysis

Sutopo

Lestari

Oikawa

et al. 2021

J. Indonesian Trop. Anim. Agric.

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The objectives of this study were to reveal appropriate growth models describing early growth of Kejobong goat based on Growth Hormone (GH) gene sequence analysis. A total of 35 DNA samples and 1.960 records of quantitative traits of Kejobong goat were collected. The exon 3 of GH gene was amplified and was sequenced to determine the SNP. Body weight and body measurements of the goats were taken at 0-14 weeks of age. Four non-linear growth models were applied for analysis of growth to compare growth performance of different genotypes by Non-Linear Mixed Model. A non-synonymous mutation (g1170AG) genotyped into GG, AG and AA was significantly associated with growth traits. Animals with heterozygous genotype AG showed higher growth traits than animals with homozygous genotype AA. Nonetheless, animals with homozygous genotype GG had the same growth traits with those animals with heterozygous genotype AG and homozygous genotype AA. The most fitted model for describing body weight was Von Bertalanffy model, while for describing wither height and hip height was Brody model. SNP at exon 3 of the GH gene can be used as genetic marker for improvement of growth traits of Kejobong goats.

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Estimation of additive and non-additive genetic variance component for growth traits in Adani goats

Cited by 10 publications

References 29 publications

Genetic Parameters for Growth Traits of Malya Goats and Heterosis from Crossbreds of Malya and Sukuma Goats

Genetic Parameters for Growth Traits of Malya Goats and Heterosis from Crossbreds of Malya and Sukuma Goats

Estimation of nonadditive and additive genetic effects on growth traits of Horro cattle

Appropriate growth models to describe early growth of Kejobong goat based on Growth Hormone (GH) gene sequence analysis

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