This study aimed to assess the effect of genetic and non-genetic factors on growth, wool yield and wool characteristics of German Angora rabbit. Data was collected on 607 adult rabbits over a period of four years (2018-2021). The least squares means of body weights (g) at various ages, wool yield (g) at I, II, III and IV clip and wool characteristics assessed by staple length (cm) and fiber diameter (μ) were estimated. Sires of the rabbit progenies demonstrated highly significant effect (P<0.01) on the studied traits except wool characteristics. Sex of the rabbits had significant effect on body weight at 10th, 12th, 14th, 16th, 24th weeks of ages and wool yield at III clip, with greater estimates of females than the males for III clip, staple length, and 24th weeks body weight. Winter and autumn seasons were the most favourable seasons in comparison to summer season for estimated traits. Winter born kits had the highest body weights of 683±20.1, 961±24.3, 1263±27.5, 1484±34.0, 1735±37.1, 1942±40.1, 2136±36.9, 2232±36.7, 2341±37.4 and 2429±37.4 g and the summer born kits had the lowest body weights of 588±22.0, 820±27.2, 1037±31.2, 1307±38.0, 1515.79±41.0, 1696±44.1, 1847±41.4, 1920±41.0, 2034±42.4 and 2139±41.6 g, at biweekly interval from 6th to 24th, respectively. Rabbits with litter size less than six performed better in comparison to other groups for all growth traits and wool yield at I and III clip. The heritability estimates were found positive and high in magnitude for all growth traits, moderate for wool clip at different clips and very low for staple length. Genetic and phenotypic correlations were found to be very high and significant among growth traits and low to moderate among wool traits. The study revealed scope for further improvement in growth and wool yield by adopting selective breeding in the colony.
The study was carried out to evaluate White Leghorn lines (IWH, IWI, IWK and layer control-LC) and to genetically characterize IWH and LC lines for production traits. Body weight at 20 weeks was significantly higher in LC, IWH and IWK lines as compared to IWI. Similarly, body weight at 40 weeks of age was also significantly higher in LC as compared to IWK, IWH and IWI. Among selected lines, it was significantly higher in IWK than that in IWH and IWI. The ASM was significantly lesser in IWH followed by IWI, IWK and LC. Egg weight at 28 weeks was significantly higher in LC followed by IWK, IWI and IWH. However, egg weight at 40 weeks was significantly higher in IWK followed by LC, IWI and IWH. Similarly, egg weight at 52 weeks of age was significantly higher in IWK followed by LC, IWH and IWI. Egg mass at 40 weeks of age was significantly higher in IWH, IWI and IWK as compared to LC. Egg mass at 52 weeks of age was also significantly higher in IWH as compared to IWK, IWI and LC. However, this trait was significantly higher in IWK and IWI as compared to LC. Heritability estimates on sire component of variance were high for all the traits except for ASM (moderate) in IWH while, they were high for all the traits except for body weight at 40 weeks of age (moderate) in LC.The study concluded that despite the continuous selection, these lines differ for many of the production traits and considerable genetic variation exists for many of the traits in IWH and LC, and IWH line could continue to be improved for production traits.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.