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TOP 1000 HOLSTEIN COWS BY GENOMIC LPI (GLP) 1000 MILLERS CACHES DAYS LA RACE HOLSTEIN SALON LIP GENOCIDE (IPAG)AUGUST / AOT 2021L CALL DV ELL DIM D JELL HERD D GROUP#LAC#TDR #RAT#SUP REL FAMILY LATER ARAFAT GRASS %RCPROT%RK ARAFAT %GRAS%PROTCONF%RK RSCS CCSACT840
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Genomic prediction is based on the analysis of genomic data, specifically the relationship between genetic markers and phenotypic traits to forecast breeding values.
Individuals and organizations involved in breeding programs or genetic testing who wish to estimate the genetic potential of their breeding stock are required to file genomic prediction.
To fill out genomic prediction, one must collect genetic data, analyze it using statistical models, and report the estimated breeding values along with relevant genomic information.
The purpose of genomic prediction is to enhance genetic selection processes, improve breeding efficiency, and increase the accuracy of predicting phenotypic traits in various species.
The information that must be reported includes the estimated breeding values, the associated genomic markers, and any relevant phenotypic data.
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