{"title":"Snp_blup_rel:计算单个动物SNP-BLUP模型可靠性的软件","authors":"Hafedh Ben Zaabza, E. Mäntysaari, I. Strandén","doi":"10.23986/AFSCI.95617","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":7393,"journal":{"name":"Agricultural and Food Science","volume":"79 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2020-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Snp_blup_rel: software for calculating individual animal SNP-BLUP model reliabilities\",\"authors\":\"Hafedh Ben Zaabza, E. Mäntysaari, I. Strandén\",\"doi\":\"10.23986/AFSCI.95617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":7393,\"journal\":{\"name\":\"Agricultural and Food Science\",\"volume\":\"79 1\",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2020-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural and Food Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.23986/AFSCI.95617\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural and Food Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.23986/AFSCI.95617","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.