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Evaluation of accuracies of genomic predictions for body conformation traits in Korean Holstein
하쿠에엠디아지줄,Alam Mohammad Zahangir,이크발아시프,이윤미,Dang Chang Gwon,김종주 아세아·태평양축산학회 2024 Animal Bioscience Vol.37 No.4
Objective: This study aimed to assess the genetic parameters and accuracy of genomic predictions for twenty-four linear body conformation traits and overall conformation scores in Korean Holstein dairy cows. Methods: A dataset of 2,206 Korean Holsteins was collected, and genotyping was performed using the Illumina Bovine 50K single nucleotide polymorphism (SNP) chip. The traits investigated included body traits (stature, height at front end, chest width, body depth, angularity, body condition score, and locomotion), rump traits (rump angle, rump width, and loin strength), feet and leg traits (rear leg set, rear leg rear view, foot angle, heel depth, and bone quality), udder traits (udder depth, udder texture, udder support, fore udder attachment, front teat placement, front teat length, rear udder height, rear udder width, and rear teat placement), and overall conformation score. Accuracy of genomic predictions was assessed using the single-trait animal model genomic best linear unbiased prediction method implemented in the ASReml-SA v4.2 software. Results: Heritability estimates ranged from 0.10 to 0.50 for body traits, 0.21 to 0.35 for rump traits, 0.13 to 0.29 for feet and leg traits, and 0.05 to 0.46 for udder traits. Rump traits exhibited the highest average heritability (0.29), while feet and leg traits had the lowest estimates (0.21). Accuracy of genomic predictions varied among the twenty-four linear body conformation traits, ranging from 0.26 to 0.49. The heritability and prediction accuracy of genomic estimated breeding value (GEBV) for the overall conformation score were 0.45 and 0.46, respectively. The GEBVs for body conformation traits in Korean Holstein cows had low accuracy, falling below the 50% threshold. Conclusion: The limited response to selection for body conformation traits in Korean Holsteins may be attributed to both the low heritability of these traits and the lower accuracy estimates for GEBVs. Further research is needed to enhance the accuracy of GEBVs and improve the selection response for these traits.
비소짙 사카,미타리 사카,만디프 미타리,샤미라 사렌,아시프 이크발 말릭 한국산업경영시스템학회 2015 한국산업경영시스템학회 학술대회 Vol.2015 No.추계
This paper develops a two-echelon supply chain model with variable setup cost and environmental impact. A single-setup-multi-delivery (SSMD) policy is adopted to increase the efficiency of transportation in the supply chain in which it is assumed that the shipment lot size of each delivery is unequal and variable. Each delivered item goes through inspection process at the buyer’s end. After inspection, defective products are returned to the vendor for reworking process. Due to inspection process, end customers receives perfect quality items. Due to more transportations by SSMD policy, this model assumes carbon emission cost to help the world environment. An investment function is used to reduce total setup cost for the whole supply chain. Stackelberg leadership approach is utilized in this model to optimize the joint total cost of vendor and buyer. Finally, some numerical examples, sensitivity analysis, and graphical representations are given to illustrate more savings from existing literature.