Abstract
To specify morphological characteristics and choose preferable growth equation for kids up to 24 weeks of age, in Aradi goats, 338 kids of fathered by 25 sires and mothered by 153 does were used. Also, 74 individuals used in assisted with 29 microsatellites markers to identify molecular characterization. Results illustrated the linear equation was preferable according to easy compute, have two linear additive parameters and equation accuracy. The accuracy of that equation was very high ranged from 0.996 and 0.993 for predicted weights in male and female, respectively. Five loci showed only three alleles for each, while the rest of markers ranged from 13 alleles in loci CSRD247 and RM088 to four alleles in locus ILSTS011. The average of observed heterozygosity was 0.63 ranged 0.89 in BM2113 locus to 0.17 in ILSTS002 locus. The expected heterozygosity reached the maximum value in locus RM088 and the minimum one in locus OARE129, the average value was 0.65. The polymorphic information content values ranged from 0.85 (RM088) to 0.22 (OARE129). Thus, the investigation on a set of 29 microsatellites revealed high degree of genetic variability in Aradi goat indicating an important indigenous genetic resource.
Highlights
Aradi is one of the most influential native goat breed in Saudi Arabia raised mainly for meat production, wide investigations were made to improve its productivity through crossing with exotic breed such as Damascus
A total number of 338 kids fathered by 25 sires and mothered by 153 does belonging to Animal Experimental Farm, Qassim University, Saudi Arabia were utilized in this study
Characterization of the 29 markers used in this study showed in Table 7, the maximum allelic numbers were found in loci CSRD247 and RM088 with 13 alleles
Summary
Aradi is one of the most influential native goat breed in Saudi Arabia raised mainly for meat production, wide investigations were made to improve its productivity through crossing with exotic breed such as Damascus. Genetic improvement of any livestock breed depends on the identification of animals capable of transmitting their desirable characteristics to their offspring. For these reasons, deepness studies concerning on growth pattern with more precise techniques are highly needed. Mathematical modelers seek to define parametric descriptors of growth shape. Many mathematical models have been used extensively to describe growth data in various species, Von Bertalanffy (Bertalanffy, 1957), Brody (Brody, 1945), Gompertz (Winsor, 1932), Logistic (Nelder 1961), Richards (Richards, 1959), Exponential Brody (Brody, 1945) simple and multiple regression (Leech & Healy, 1959; Sprint, 1967; Grizzle & Allen, 1969)
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