Potential of Genomic Selection in Mass Selection Breeding of an Allogamous Crop: An Empirical Study to Increase Yield of Common Buckwheat
نویسندگان
چکیده
To evaluate the potential of genomic selection (GS), a selection experiment with GS and phenotypic selection (PS) was performed in an allogamous crop, common buckwheat (Fagopyrum esculentum Moench). To indirectly select for seed yield per unit area, which cannot be measured on a single-plant basis, a selection index was constructed from seven agro-morphological traits measurable on a single plant basis. Over 3 years, we performed two GS and one PS cycles per year for improvement in the selection index. In GS, a prediction model was updated every year on the basis of genotypes of 14,598-50,000 markers and phenotypes. Plants grown from seeds derived from a series of generations of GS and PS populations were evaluated for the traits in the selection index and other yield-related traits. GS resulted in a 20.9% increase and PS in a 15.0% increase in the selection index in comparison with the initial population. Although the level of linkage disequilibrium in the breeding population was low, the target trait was improved with GS. Traits with higher weights in the selection index were improved more than those with lower weights, especially when prediction accuracy was high. No trait changed in an unintended direction in either GS or PS. The accuracy of genomic prediction models built in the first cycle decreased in the later cycles because the genetic bottleneck through the selection cycles changed linkage disequilibrium patterns in the breeding population. The present study emphasizes the importance of updating models in GS and demonstrates the potential of GS in mass selection of allogamous crop species, and provided a pilot example of successful application of GS to plant breeding.
منابع مشابه
Identification of potential traits and selection criteria for yield improvement in sesame (Sesamum indicum L.) genotypes under rainfed conditions
Sesame is an important oilseed crop in India. To determine potential traits and selection criteria for yield improvement, ninety sesame (Sesamum indicum L.) genotypes were studied in a randomized complete block design with three replications. The data collected on 13 characters were subjected to three different analyses. In variability analysis, high heritability was accompanied by a high genet...
متن کاملGenetic worth and stability of selection indices in rice (Oryza sativa L.)
Improvement of one trait on its own will affect the performance of other traits because ofgenotypic correlations between traits. Index selection is one of the tools used by plant breedersto overcome this problem. The purpose of this paper is to evaluate selection indices developedfor improving grain yield in rice (Oryza sativa L.). Forty-nine rice genotypes were cultivated atTonekabon Rice Rese...
متن کاملکارایی انتخاب ژنومی در برنامههای اصلاح نژاد مرغان بومی
The development of genomic selection has created new strategies in animal breeding programs. The aim of this study was to investigate the efficiency of genomic selection in breeding programs of native hens. In this study, a reference scenario with 3380 birds using pedigree and phenotypic information was simulated and the expected genetic progress was derived deterministically with the software ...
متن کاملThe Effect of Dams of Sire Path Management on Genetic and Economic Parameters in a Simulated Genomic Selection Program
A deterministic model based on the gene flow method, considering the features of Iranian Holstein cattle population, was implemented in this study to evaluate the effect of altering the number of age-classes in the dams of future sire (DS) path and the number of dams required for breeding a young bull (YB), to be evaluated as future sire, on genetic gain and resultant economic efficiency of a g...
متن کاملPredicting hybrid performance in rice using genomic best linear unbiased prediction.
Genomic selection is an upgrading form of marker-assisted selection for quantitative traits, and it differs from the traditional marker-assisted selection in that markers in the entire genome are used to predict genetic values and the QTL detection step is skipped. Genomic selection holds the promise to be more efficient than the traditional marker-assisted selection for traits controlled by po...
متن کامل