Genome-wide prediction methods for detecting genetic effects of donor chromosome segments in introgression populations.

Background: Introgression populations are used to make the genetic variation of unadapted germplasm or wild relatives of crops available for plant breeding. They consist of introgression lines that carry small chromosome segments from an exotic donor in the genetic background of an elite line. The goal of our study was to investigate the detection of favorable donor chromosome segments in introgression lines with statistical methods developed for genome-wide prediction.

Selection strategies for the development of maize introgression populations.

Introgression libraries are valuable resources for QTL detection and breeding, but their development is costly and time-consuming. Selection strategies for the development of introgression populations with a limited number of individuals and high-throughput (HT) marker assays are required. The objectives of our simulation study were to design and compare selection strategies for the development of maize introgression populations of 100 lines with population sizes of 360-720 individuals per generation for different DH and S2 crossing schemes.

Selection strategies for the development of rye introgression libraries.

Computer simulations can be employed to find optimal procedures for developing introgression libraries in rye with marker-assisted backcrossing. Our objectives were to investigate the effects of the employed (1) breeding scheme, (2) selection strategy, and (3) population sizes on the donor genome coverage of the library, the number of introgression lines carrying additional donor chromosome segments outside the target regions, and the number of required marker data points. With respect to these target criteria, a BC(3)S(2) breeding scheme and increasing population sizes from early to advanced generations were superior to a BC(2)S(3) breeding scheme and constant population sizes.