Economic efficiency of one cycle of marker-assisted selection

Citation
L. Moreau et al., Economic efficiency of one cycle of marker-assisted selection, CROP SCI, 40(2), 2000, pp. 329-337
Citations number
30
Categorie Soggetti
Agriculture/Agronomy
Journal title
CROP SCIENCE
ISSN journal
0011183X → ACNP
Volume
40
Issue
2
Year of publication
2000
Pages
329 - 337
Database
ISI
SICI code
0011-183X(200003/04)40:2<329:EEOOCO>2.0.ZU;2-I
Abstract
The efficiency of molecular markers to improve genetic prediction has been proved by many studies. Nevertheless, the additional cost due to marker gen otyping is seldom considered in the comparison between marker-assisted sele ction (MAS) and phenotypic selection. In the context of plant breeding, the relative cost efficiency of MAS in the first cycle of selection is evaluat ed through an analytical approach taking into account the effect of the exp erimental design (population size, number of trials, and replications per t rial) on quantitative trait loci (QTL) detection. The same global cost is a ssumed for both methods. In a first step, the optimal allocation of the exp erimental resources is studied for each method before comparing them at the ir optimum. For traits sensitive to genotype x environment interactions, un replicated trials are optimal for both methods but the optimal number of tr ials is different. It increases with the investment for phenotypic selectio n while it becomes nearly equal to one for MAS. The loss of efficiency due to non-optimal designs is evaluated. The expected economic return of MAS co mpared with phenotypic selection decreases with the cost of genotyping. Whe n this cost is high, MAS interest is limited to traits with a low heritabil ity, provided that the investment is high enough to evaluate a large popula tion size, which is the necessary condition to explain with markers a large part of genetic variation. The maximal genotyping cost that is acceptable for MAS to be efficient is given for different values of investment and tra it heritability.