Direct and maternal genetic components for body weight traits in Markhoz goat

Latifi, Meysam; Naderi, Yousef; Bohlouli, Mehdi; Sadeghi, Saadat

doi:10.1007/s11250-021-02614-5

Cited by 2 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the contribution of kids’ genes is pronounced after weaning, which could be the reason for a relatively higher direct additive genetic effect after weaning age. Yogesh et al [ 26 ] and Latifi et al [ 27 ] have made a similar observation. The observed high standard error for estimates in this study could be ascribed to the sample size, data structure, or a small number of progeny per dam and limited information on linked offspring and dams’ performances.…”

Section: Discussionsupporting

confidence: 53%

“…Higher and negative additive-maternal correlations (r am ) were noted for growth traits and Kleiber ratio by different scholars [ 13 , 27 , 29 – 31 ]. The negative r am estimate may be due to natural selection for an intermediate optimum [ 32 ], poor data structure, true genetic antagonism [ 18 ], and negative environment correlation between the dam and offspring [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Genetic analysis of efficiency-related traits in Boer x Central Highland goats

Tesema,

Alemayehu,

Getachew

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

This study aimed to identify important non-genetic factors and estimate genetic parameters for efficiency-related traits in Boer x Central Highland goats. The genetic parameters were estimated using the Average Information Restricted Maximum Likelihood algorithm using the WOMBAT program fitting animal model. The least-squares means for growth efficiency from birth to 3 months (GE1), 3–6 months (GE2), 6–12 months (GE3), relative growth rate from birth to 3 months (RGR1), 3–6 months (RGR2) and 6–12 month (RGR3) were 294.0 ± 5.06, 36.6 ± 1.20, 44.9 ± 1.81, 1.46 ± 0.01, 0.32 ± 0.01 and 0.19 ± 0.01, respectively. Birth type, blood level, sex of the kid, and year of kidding had a sizable effect on efficiency-related traits. About 18, 3.0, 23, 20, and 12% of the phenotypic variation in GE2, GE3, RGR1, RGR2, and RGR3 was explained by the direct additive genetic effect. Except for RGR3, all investigated traits were under the influence of maternal genetic effect, and maternal heritability ranged from 0.09 to 0.17. The total heritability estimate depicts that slow genetic progress would be expected from selection. Nevertheless, even with this level of heritability, selection for efficiency-related traits would improve the efficiency of chevon production as these traits are economically important traits. Nearly six-months of age was when farmers sold Boer crossbred goats. Therefore, improving the growth efficiency till the marketing age (GE2) in such a scenario could increase the production efficiency.

show abstract

Section: Discussionsupporting

confidence: 53%