Development of selection method for desired change using information on SNP and verification of improving efficiency in swine

2018 Fiscal Year Final Research Report

• Project/Area Number: 15K07701
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Animal production science
• Research Institution: Tohoku University
• Principal Investigator: Satoh Masahiro 東北大学, 農学研究科, 教授 (70370658)
• Project Period (FY): 2015-04-01 – 2019-03-31
• Keywords: 制限付き選抜法 / コンピュータシミュレーション

Outline of Final Research Achievements

In this study, we first examined the efficient operation method and algorithm for generating efficient inverse matrix for calculating inversion of genome relationship matrix using SNP information, such as improvement of various arithmetic algorithms. As a result of applying the Gaussian elimination method to the division method, it became clear that although the operation time differs depending on the rank of the matrix, there is a matrix size that can be calculated most efficiently. Furthermore, as a result of examining in detail the calculation method of the inverse matrix by the division method, it became clear that it is effective in the case of a dense matrix where the symmetric matrix and the original matrix do not fit in the memory. Since these characteristics apply to the genome relation matrix, the program to calculate the inverse matrix using the division method was effective.

Free Research Field

家畜育種

Academic Significance and Societal Importance of the Research Achievements

わが国における豚の系統造成では改良目標を設定した選抜法が多く行われ、最近では豚の一部地域内において遺伝的能力評価が行われるとともに、全国評価に向けた取り組みがなされている。また、研究レベルでは豚においてSNP情報を利用した改良の可能性が示唆されており、この情報を遺伝的能力評価に利用するための適切な演算法を明らかにしたもので、SNP情報を用いた場合の効率的な種豚評価が期待される。