Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightAs a result of this study, it can be stated that panels with 0.999 CPE values canbe used at the most reasonable cost and with high reliability in paternity tests to be performed in Kilis goats, which can be a referencefor other populations.
📌 3 Maddede Bu Makale
Abstract
The aim of this study was to develop PCR-based suitable microsatellite marker panels for paternity testing and to definepedigree errors in Kilis goats. A total of 137 head of goats were used, consisting of 118 head of kids and 19 head of possible candidatesires. A total of 392 alleles were observed in 22 microsatellite markers. Allele numbers ranged between 12 (SRCRSP7) and 24 (BM1818,INRA0023, and SRCRSP15) with an average of 17.82. The mean value of the effective allele numbers was obtained as 9.44. The overallpolymorphic information content value was quite high (0.88). The overall observed (Ho) and expected heterozygosity (He) values for allstudied loci were 0.89 and 0.89, respectively. Paternity test panels for the Kilis goat population studied were created based on individualprobability of exclusion of microsatellites in multiplex groups. Combined probability of exclusion (CPE) values for different panelsranged between 0.745 (Panel-1) and 0.9999 (Panel-22), while the combined identification probability (CPI) values were obtained in therange of 9.81 × 10–3 (Panel-1) to 6.96 × 10–21 (Panel-22). As a result of this study, it can be stated that panels with 0.999 CPE values canbe used at the most reasonable cost and with high reliability in paternity tests to be performed in Kilis goats, which can be a referencefor other populations.