Projects / Programmes source: ARRS

Development of software and methods for prediction of breeding values

Research activity

Code Science Field Subfield
4.02.01  Biotechnical sciences  Animal production  Genetics and selection 

Code Science Field
B400  Biomedical sciences  Zootechny, animal husbandry, breeding 
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 
Prediction of breeding values, random regression, integrated information systems, telecommunication
Evaluation (rules)
source: COBISS
Researchers (5)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  05096  MSc Marko Čepon  Biotechnical sciences  Researcher  2000 - 2001  458 
2.  15222  Anka Dolinar  Engineering sciences and technologies  Researcher  1999 - 2001  122 
3.  08405  PhD Marija Klopčič  Biotechnical sciences  Researcher  1999 - 2001  698 
4.  09755  PhD Milena Kovač  Biotechnical sciences  Principal Researcher  2000 - 2001  1,193 
5.  12520  Jana Tavčar  Biotechnical sciences  Researcher  1999 - 2001  173 
Two main goals are followed in the project. The first goal is development of the information szstem in pigs with main emphasis on development of software for breeders and regional extension services. Program package will contain tools for data input and logical control, for frequent queries from local databases, data transfer, tool kits for running different applications from central database and dissimination of information. Prototzpe szstems on familz farms, industrial units, and extensional services will be tested and connected to the central database. The szstem developed in pigs maz be used as a model in other species. In the second part, applicative studies on the field of prediction of breeding values in cattle, small ruminants and pigs. Carcass (meatness) and fertilitz traits will be studied in order to include them into agregate genotzpe for pigs. Furthermore, research will be extended to genotzpe-environment interaction. In cattle and small ruminants, we will continue studies of methods using test-daz records and applicabilitz of random regression models. Moreover, different grading scales and statistical models for secondarz traits (exterier, lifetime production) will be examined and implemented for evaluation of breeding animals.
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