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Bull selection based on QTL for specific environments. Fabio Monteiro de Rezende Universidade Federal Rural de Pernambuco (UFRPE) - Brazil. Introduction. How selection is done in Brazil Dairy cattle. Beef cattle. Result of these selection Improved production.
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Bull selection based on QTL for specific environments Fabio Monteiro de Rezende Universidade Federal Rural de Pernambuco (UFRPE) - Brazil
Introduction • How selection is done in Brazil • Dairy cattle. • Beef cattle. • Result of these selection • Improved production. • Problems caused by phenotypic selection • Negative effect on others traits • Results below expected
Potential GxE interaction can be quantified by considering as different traits the dairy performance of relatives in each country. • Small difference between daughter responses and sire breeding in sub-tropical regions. • Actual gain depends on the genetic value of the candidate germ plasm and its performance in production environments. • To evaluate germ plasm importation options, quantifying potential interactions between US sires and Brazilian herd environments is essential.
With the milk production increasing, the quality of health and reproduction are declining. • The infertility has a large impact on competitiveness and the sustainability of the dairy cattle industry. • Studies designed for identification of QTL are based on crosses of genetically distinct breeds or inbred lines.
Objectives • Help to increase herd productivity: • Selecting bulls that have higher genetic values in the target environment. • Make this selection viable: • Show producers how much better is this selection, and make it popular and cheaper.
Increase profits • Identify the investment and the additional productivity. • Combine traits that are negatively correlated: • Milk yield and protein concentration. • Milk yield and reproduction.
Materials and Methods • Animals in different environments • Ranking these animals according to the records • Records of milk yield, quantity of protein, fertility. • Identify the QTLs for specific traits • Compare information inside the environment
Ranking the QTLs • Determine which QTL has the greatest effect for each trait in each environment. • Evaluate the most important QTLs, and their effects, between different environments
Identify the QTLs with similar (favorable) effects in both environments. • These QTLs should be useful in both environments. • Identify the QTLs that differentially affect performance in the target environment. • These QTLs should be selected only for bull that would be used in specific environments • They are responsible for increased production only in those specific conditions (environments).
Materials and Methods from M. S. Ashwell’ paper • Resource Population. • Semen from 10 Holstein families was selected from progeny-tested animals. • Two research groups conducted independent genome scans. • Genotyping. • For each individual genome scan, microsatellite markers were selected at approximately 20-cM intervals from published bovines maps .
Phenotypic Data. • Data for milk yield and composition, SCSand productivity life (PL) collected were processed in genetic evaluation procedure. • The female fertility trait is new genetic evaluation. • Pregnancy status is determined from the date of last breeding and is verified using the next calving date. • Statistical Analysis. • Data from a total of eight traits were analyzed using a regression approach originally described in 1992. • Data included daughter deviations for milk, fat, and protein yield, fat and protein percentage, SCS, and PL, weighted by their respective reliabilities.