A marker assisted complex segregation analysis (MACSA) method was developed to estimate the effects and position of a putative quantitative trait locus (QTL) in addition to the polygenic parameters using marker in
formation. Genetic parameters were estimated with the maximum likelihood method. Hypotheses were tested 
with the likelihood ratio test. Using the MACSA method, five milk production traits (milk, fat and protein yields, fat and protein contents) from 1163 first lactations were analysed with the marker information of the four milk proteins cxs^-casein, p-casein. K-casein and P-lactoglobulin. The MACSA was carried out both for single 
markers (one-marker-analyses) and two markers simultaneously (two-marker-analyses). For all the five traits, the polygenic variation was found to be significant Significant QTL effects could only be detected for milk yield 
and protein yield. No strong evidence was found for a linkage between the QTL of milk production traits and the milk protein markers.

Z. Liu, Henner Simianer, H. Haussmann

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume 19. Selection and quantitative genetics; growth; reproduction; lactation; fish; fiber; meat., , 307–310, 1994
Download Full PDF BibTEX Citation Endnote Citation Search the Proceedings

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.