Feedbacks from Participants to the 7th Workshop on QTL Mapping and Breeding simulation Day 1: Breeding Simulation (4:30pm, 20 January 2011) Ravi Singh: Simulation plays important role in improving the efficiency of breeding program. Simulations of modified pedigree compared to selected bulk strategies, demonstrated that selected bulk method was slightly better, reconfirming belief that selected bulk was better. In the HarvestPlus program, we aim to incorporate exotic germplasm by backcrossing. With complex traits, simulation provided insights in to the number of backcrosses required, and proved useful to back-up ideas of breeders. A third example of simulation saved the Wheat Program a lot of money. There was a strong push to adopt double haploids in the CIMMYT’s wheat breeding program, and Hans was pushing to establish experiment to compare DH with traditional breeding. Ravi suggested that simulation could be used instead of field breeding experiment. The results of simulation demonstrated that DH was not better than current breeding methods in the spring wheat program, but was beneficial in the winter wheat program. Ravi said “best piece of work”, that “must be published”. Other areas where simulation may be beneficial: Compare what was done 7-8 years ago with present methods, to quantify the enhancements achieved. Seeds of Discovery Program – requires rapid incorporation of new germplasm. Simulation of genomic selection could be used to demonstrate potential value. Ravi said “I am a strong supporter of simulation to evaluate the potential of new strategies”. Hans Braun: Spring wheat program used to make very large number of crosses. But now spend a lot of money on the characterisation of populations. With increasing availability and emphasis on molecular breeding we have a number of questions that need to be addressed: How many alleles can be selected at the same time Population size Can we make this process more efficient Comments by Hans on simulation of double haploid breeding discussed earlier by Ravi: spring wheat program is a special case, due to being able to complete two generations in same year, with large segregating populations. This allows program to rapidly increase frequency of desirable alleles. The benefits of the spring wheat program were “difficult to sell without the use of simulation” and “need to publish paper”. Jose Crossa: Application of selection indices was compared with simulation. But need to repeat across more populations, and to include epistasis. Selection index is more complex when markers are also included along with multiple traits, multiple environments, gxe, and differing levels of noise and heritability. Simulation has proven very useful. QuGene simulation is well proven, and software is available for independent validation of published results. Genomics poses new challenges, and believes that model that includes epistasis will improve selection using markers or genomic scans. Simulation can be used to demonstrate applicability and validity of models across populations. David Bonnett: Has been exposed to genetic simulation over many years, initially with Mark Cooper. Subsequently became aware of modules that were being developed by Jiankang Wang. Then started to see the applicability of simulation through applications to the CIMMYT wheat program, but still had doubts that a breeder would be able to implement simulation without significant assistance, despite many discussions with Jiankang Wang and Scott Chapman. Believes that simulation software is not getting to the point where a breeder may be able to run themselves. “Sees to be closer” “more breeder friendly” but support services may be required to help breeders. “You really learn a lot as a breeder” through discussions and setting-up and running computer simulations of your breeding program. Jose Crossa: believes that there will be a direct relationship between usability of interface and the number of users. Ravi Singh on cross prediction: The real value will come when you have known information, and have computer simulations that tells you what crosses to make, and then generations those crosses by simulation. Such a program should integrate all available information and then choose the crosses (not the breeder). Probably will be little use if breeder has to go through crosses one by one. “Simulation will assist both new breeders and seasoned breeders”.
Pages to are hidden for
"the 7th Mexico 2011 1"Please download to view full document