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        Genetic Evaluation and Calculating Daughter Yield Deviation of Bulls in Iranian Holstein Cattle for Milk and Fat Yields

        Sheikhloo, M.,Shodja, J.,Pirany, N.,Alijani, S.,Sayadnejad, M.B. Asian Australasian Association of Animal Productio 2009 Animal Bioscience Vol.22 No.5

        This study was aimed at a genetic evaluation of Iranian Holstein cattle for milk and fat yields and calculating daughter yield deviation (DYD) of bulls. The data file that was used in this research included 367,943 first three lactation records of 186,064 Holstein cows which calved between 1983 and 2006 in 11,806 herd-year-season groups. The model included herd-year-season of calving and age at calving as fixed effects and animal and permanent environment as random effects. Mean breeding values of cows for each year were regressed on birth year to estimate genetic trends. Genetic trends in milk and fat yields were greater for cows born after 1997 (59.38 kg/yr and 1.11 kg/yr for milk yield and fat yield, respectively). Animal evaluations were partitioned into contribution from parent average, yield deviation (YD) and progeny. DYD of bulls was calculated as described by VanRaden and Wiggans (1991). DYD provides an indication of the performance of the daughters of a bull without consideration of his parents or sons. Variance of bull DYD was greater than variance of their predicted transmitting ability (PTA). Correlation of bull DYD and PTA was dependent on the number of daughters and when this increased, the correlation of DYD and PTA was increased. Also as lactation number of daughters increased, the correlation of bull DYD and PTA was increased.

      • A Large Axiom Soybean SNP Genotyping Array: Development, Validation, and Genetic Mapping

        Soon-Chun Jeong,Namhee Jeong,Yun-Gyeong Lee,Ji Hong Kim,KilHyun Kim,Ali Pirani,Bridget Moore,Bo-Keun Ha,Sung‐Taeg Kang,Beom-Seok Park,Jung-Kyung Moon,Namshin Kim 한국육종학회 2014 한국육종학회 심포지엄 Vol.2014 No.07

        An important worldwide plant source of dietary protein and oil, modern breeding and improvement of soybean is suffered from a narrow cultivated germplasm relative to other crop species likely because of underuse of wild soybeans as breeding resources. SNP genotyping array is regarded as a promising tool for dissecting wild and cultivated germplasms to find important adaptive genes by high-density genetic mapping and genome-wide association studies (GWAS). Here, we present the establishment of a large soybean SNP array and its use for diversity analysis and high density linkage mapping. More than 4 million high-quality SNPs identified from 16 high-depth and 31 low-depth soybean genome resequencing data were used to select 180,961 SNPs for the AxiomÒ SoyaSNP array. Our validation analysis for a set of 222 diverse soybean lines showed that a total of 171,161markers were of good quality for genotyping. Of the converted SNPs, 82.6% 82.6% SNPs had a marker spacing of less than 9 kb and 17.4% SNPs greater than 9 kb with the 297 inter-SNP spacings of >100 kb and with 812 kb of the largest spacing, thereby suggesting that our array is likely suitable for GWAS of soybean germplasm. This array is being used to construct high-density genetic map in populations generated from intermatings of two cultivated and two wild soybeans, with an objective to confirm large structural variations of chromosomes using the ultra-high-density maps

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