Abstract
Flowering time is an important target for breeders in developing new varieties adapted to changing conditions. A new approach is proposed that uses Approximate Bayesian Computation with Differential Evolution to construct a pool of models for flowering time. The functions for daily progression of the plant from planting to flowering are obtained in analytic form and depend on daily values of climatic factors and genetic information. The resulting pool of models demonstrated high accuracy on the dataset. Day length, solar radiation and temperature had a large impact on the model accuracy, while the impact of precipitation was comparatively small and the impact of maximal temperature has the maximal variation. The model pool was used to investigate the behavior of accessions from the dataset in case of temperature increase by 0.05–6.00°. The time to flowering changed differently for different accessions. The Pearson correlation coefficient between the SNP value and the change in time to flowering revealed weak but significant association of SNP7 with behavior of the accessions in warming climate conditions. The same SNP was found to have a considerable influence on model prediction with a permutation test. Our approach can help breeding programs harness genotypic and phenotypic diversity to more effectively produce varieties with a desired flowering time.
Highlights
Among the cultivated species in the legume family, mungbean (Vigna radiata (L.) Wilczek), known as green gram), a short duration crop, is sometimes considered as a “minor” crop, due to limited breeding efforts and restricted planting area that is much less than the range of suitable soil and climatic conditions [1]
The adaptation of adaptive traits like flowering time to specific environments is blueprinted in genomes [53,54] so that different genotypes responds to local conditions in different ways
The model pool developed in this work illustrates the approach based on Approximate Bayesian Computation with Differential and Grammatical Evolution for construction of dependencies of plant phenotype on climatic factors and genotype-by-environment interactions
Summary
Among the cultivated species in the legume family, mungbean (Vigna radiata (L.) Wilczek), known as green gram), a short duration crop, is sometimes considered as a “minor” crop, due to limited breeding efforts and restricted planting area that is much less than the range of suitable soil and climatic conditions [1]. It has become an increasingly important crop across Asia and beyond, showing a steady rise in global production (FAO 2018). Mungbean is a well-suited model organism among legume plants due to its relatively small genome size, short life-cycle, self-pollination, and close genetic relationship to other important legume crops
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