Snp_blup_rel:计算单个动物SNP-BLUP模型可靠性的软件

IF 1 4区 农林科学 Q3 AGRICULTURE, MULTIDISCIPLINARY Agricultural and Food Science Pub Date : 2020-09-21 DOI:10.23986/AFSCI.95617
Hafedh Ben Zaabza, E. Mäntysaari, I. Strandén
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引用次数: 5

摘要

snp_blup_rel程序计算基因组育种值的模型可靠性。该程序假设单性状SNP-BLUP模型,其中育种值可以包括残余多基因(RPG)效应。可靠性计算需要混合模型方程(MME)的逆元。计算分为三个步骤:1)MME计算,2)MME系数矩阵反演,3)可靠性计算。当需要时,可以在步骤2之后保存倒矩阵。步骤3可以单独用于不为步骤2提供信息的新基因型。当包含RPG效果时,采用基于蒙特卡罗采样的近似方法。这减少了MME矩阵的大小,并允许包括许多基因型个体。该程序是用Fortran 90/95语言编写的,并使用LAPACK子程序实现多线程并行计算。该程序在计算时间和内存要求方面是有效的,并且可以用于分析甚至大型基因组数据。因此,该程序可用于计算大型国家基因组评估的模型可靠性。
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Snp_blup_rel: software for calculating individual animal SNP-BLUP model reliabilities
The snp_blup_rel program computes model reliabilities for genomic breeding values. The program assumes a single trait SNP-BLUP model where the breeding value can include a residual polygenic (RPG) effect. The reliability calculation requires elements of the inverse of the mixed model equations (MME). The calculation has three steps: 1) MME calculation, 2) MME coefficient matrix inversion, and 3) reliability computation. When needed, the inverted matrix can be saved after step 2. Step 3 can be used separately to new genotypes which do not contribute information to Step 2. When an RPG effect is included, an approximate method based on Monte Carlo sampling is applied. This reduces the MME matrix size and allows including many genotyped individuals. The program is written in Fortran 90/95, and uses LAPACK subroutines which enable multi-threaded parallel computing. The program is efficient in terms of computing time and memory requirements, and can be used to analyze even large genomic data. Thus, the program can be used in calculating model reliabilities for large national genomic evaluations.
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来源期刊
Agricultural and Food Science
Agricultural and Food Science 农林科学-农业综合
CiteScore
2.50
自引率
0.00%
发文量
22
审稿时长
>36 weeks
期刊介绍: Agricultural and Food Science (AFSci) publishes original research reports on agriculture and food research related to primary production and which have a northern dimension. The fields within the scope of the journal include agricultural economics, agricultural engineering, animal science, environmental science, horticulture, plant and soil science and primary production-related food science. Papers covering both basic and applied research are welcome. AFSci is published by the Scientific Agricultural Society of Finland. AFSci, former The Journal of the Scientific Agricultural Society of Finland, has been published regularly since 1928. Alongside the printed version, online publishing began in 2000. Since the year 2010 Agricultural and Food Science has only been available online as an Open Access journal, provided to the user free of charge. Full texts are available online from 1945 on.
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