Abstract
Ongoing major advances in plant genotyping and phenotyping lead to a better understanding of genetic architecture of agronomical traits. In this context, it is important to develop decision support tools to help breeders in implementing marker-assisted selection (MAS) projects to assemble new allele combinations. Algorithms have been developed within an interactive graphical interface to (a) trace parental QTL alleles throughout selection generations, (b) propose strategies to select the best plants based on estimated molecular scores, and (c) efficiently intermate them depending on the expected value of their progenies. By investigating multi-allelic context and diverse pedigree structure, OptiMAS enables to assemble favorable alleles issued from diverse parents and further accelerate genetic gain.
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Acknowledgements
We are grateful to colleagues within INRA and the Generation Challenge Programme (GCP) for enlightening user oriented input to this project. This development has benefited from the advices and beta-testing of Delphine Fleury and Mark Sawkins. This program is part of the IBP within GCP and is funded by the Bill and Melinda Gates Foundation.
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Valente, F. et al. (2014). OptiMAS: A Decision Support Tool to Conduct Marker-Assisted Selection Programs. In: Fleury, D., Whitford, R. (eds) Crop Breeding. Methods in Molecular Biology, vol 1145. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-0446-4_9
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DOI: https://doi.org/10.1007/978-1-4939-0446-4_9
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