2015
DOI: 10.1186/s12864-015-1866-9
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Long-term genomic selection for heterosis without dominance in multiplicative traits: case study of bunch production in oil palm

Abstract: BackgroundTo study the potential of genomic selection for heterosis resulting from multiplicative interactions between additive and antagonistic components, we focused on oil palm, where bunch production is the product of bunch weight and bunch number. We simulated two realistic breeding populations and compared current reciprocal recurrent selection (RRS) with reciprocal recurrent genomic selection (RRGS) over four generations. All breeding strategies aimed at selecting the best individuals in parental popula… Show more

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Cited by 34 publications
(33 citation statements)
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“…In oil palm, Cros et al [126] concluded that reciprocal recurrent genomic selection (RRGS) could increase annual gains by reducing the breeding cycle from 20 to six years compared to conventional RRS. Hence, RRGS seems to be a promising method to achieve long-term genetic gain under situations where traits are affected by heterosis, and when the breeding cycle is very long, as in the oil palm example.…”
Section: Recurrent Genomic Selection and Reciprocal Recurrent Genomicmentioning
confidence: 99%
See 1 more Smart Citation
“…In oil palm, Cros et al [126] concluded that reciprocal recurrent genomic selection (RRGS) could increase annual gains by reducing the breeding cycle from 20 to six years compared to conventional RRS. Hence, RRGS seems to be a promising method to achieve long-term genetic gain under situations where traits are affected by heterosis, and when the breeding cycle is very long, as in the oil palm example.…”
Section: Recurrent Genomic Selection and Reciprocal Recurrent Genomicmentioning
confidence: 99%
“…Consequently, the inbreeding rate per generation can be reduced when DNA markers are used in the selection process. However, several simulation studies have shown that selection that is purely based on GEBVs can lead to a loss of genetic variance and hence an increase in the rate of inbreeding [75,126].…”
Section: Recurrent Genomic Selection and Reciprocal Recurrent Genomicmentioning
confidence: 99%
“…Cros et al (2015a) recently showed that Genomic Selection empirically appeared valuable for reciprocal recurrent selection in oil palm as it could account for family effects and Mendelian sampling terms, despite small populations and low marker density. Cros et al (2015b) concluded that RRGS (Recurrent Reciprocal Genomic Selection) could increase the annual selection response compared to RRS by decreasing the generation interval and by increasing the selection intensity. RRGS appeared suitable to achieve a long-term increase in the performance for a trait showing heterosis due to the multiplicative interaction between additive and negatively correlated components, such as oil palm bunch production.…”
Section: Increasing Breeding Efficiency Through Genomic Selection (Gs)mentioning
confidence: 99%
“…Also, when whole-genome sequences are not available and SNP markers are present in a limited number, the breeders using GBS and HTS platforms can readily genotype their mapping population and can provide genomic selections for the targeted crops of interest [23,26,54]. Although it was first applied for animal breeding [55], recently genomic selection has been successfully applied to a number of plant species [56][57][58][59][60][61][62], including studies using GBS in the context of genomic selection [26]. Most importantly, the application of available genomics tools and a large number of high-throughput DNA markers and new-generation genotyping platforms have made the "breeding by design" [63] possible and have developed "virtual breeding" approaches [64] for efficient crop improvement.…”
Section: Genomics-assisted Selection or Genomic Selectionmentioning
confidence: 99%