Course code LauZ6124
Credit points 3
Total Hours in Course81
Independent study hours81
Date of course confirmation15.03.2011
Responsible UnitAgrobiotehnoloģijas institūts
Dr. agr.
In the course project student analyzes the real data of concrete specie and breed population of farm animals and use for them real animal specific data and available population and quantitative genetics research methods. Master's chosen theme and match it with the teacher. Working method indicates the amount of data to be used in the study, the selected algorithm and a description of the selected data-processing software. There is getting up the project objectives and tasks.
After completing the course student will have: Knowledge: by analyzing the results of the course project master deliverables capability in-depth knowledge and understanding in achievements in animal breeding and livestock farming.
Skills: acquire skills to apply appropriate quantitative and population genetics research methods, analyze and evaluate the result of genetic parameters and arguments to explain them. Be able to independently choose for the master's work the most appropriate research methods.
Competences: master will be competent to study and analyze scientific literature, be able to independently formulate and critically analyze the results, as well as able to take master's thesis.
1. Falconer,D.S., Mackay, T.F.C. Introdction to Quantitative Genetics. Fourth Edition. Edinburgh: Longman Limited, 1996.
2. Kaйданoв. (1996) Генетика популяций, Москва, Высшая школа. ISBN 5-06-002575-6. 319 lpp.
3. Бакай A. B., Қочиш И. И., Cкрипниченко Г.Г. Генетика. Москва: Koлoc, 2006. 448 lpp.
1. Lynch M., Walsh B. Genetics and Analysis of Quantitative Traits. USA: Sinauer Association, Inc., 1998. 980 lpp.
2. Būcis J. Lauksaimniecības dzīvnieku audzēšana. Rīga: Zvaigzne, 1975. 343 lpp.
1. The Journal of Animal Science (JAS). American Society of Animal Science. Print ISSN: 0021-8812; Online ISSN: 1525-3163.
2. Latvijas Lauksaimniecības universitātes Raksti. Latvijas Lauksaimniecības universitāte. ISSN 1407-4427.