z-logo
open-access-imgOpen Access
Animal gene pyramiding in cross populations
Author(s) -
Liuwei Xu,
Fangming Zhao,
Ren Hang-xing,
Jian Lü,
Zhang Li,
Caihong Wei,
Lixin Du
Publication year - 2012
Publication title -
yichuan
Language(s) - Uncategorized
Resource type - Journals
ISSN - 0253-9772
DOI - 10.3724/sp.j.1005.2012.01328
Subject(s) - trait , biology , population , selection (genetic algorithm) , genetics , allele , gene , allele frequency , genotype , computer science , demography , artificial intelligence , sociology , programming language
Gene pyramiding aims at producing individuals with one superior economic trait according to the optimal breeding scheme involving selection of favorable target alleles or linked markers after crossing basal populations and pyramiding them into a single individual. In consideration of animal traditional cross program along with the features of animal segregating population, four types of cross programs and two types of selection strategies for gene pyramiding are performed from practice perspective of view, two population cross for pyramiding two genes (denoted II), three populations cascading cross for pyramiding three genes (denoted III), four population symmetrical (denoted IV-S) and cascading cross for pyramiding four genes (denoted IV-C), and various schemes (denoted cross program-A-E) were designed for each cross program with different levels of initial favorable allele frequencies, basal population sizes, and trait heritabilities. The process of gene pyramiding for various schemes were simulated and compared based on the population hamming distance, average superior genotype frequencies, and average phenotypic values. By simulation, the results showed that larger base population size and higher initial favorite allele frequency resulted in higher efficiency of gene pyramiding. The order of parent crossing was shown to be the most important factor in cascading cross, but had no significant influence on the symmetric cross. The results also showed that genotypic selection strategy was superior to phenotypic selection in accelerating gene pyramiding. The method and corresponding software would be used to compare different cross schemes and selection strategies. Moreover, our study would help to build the optimal gene pyramiding simulation platform.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here