作者: S. Brunel-Muguet , J.-N. Aubertot , C. Dürr
DOI: 10.1093/AOB/MCR071
关键词: Seedling 、 Genetic diversity 、 Genetic variation 、 Medicago truncatula 、 Agronomy 、 Biology 、 Sowing 、 Germination 、 Ideotype 、 Seedbed
摘要: † Background and Aims Germination heterotrophic growth are crucial steps for stand establishment. Numerical experiments based on the modelling of these early stages in relation to major environmental factors at sowing were used as a powerful tool browse effects genetic diversity Medicago truncatula, one model legume species, under range agronomic scenarios, highlight most important plant parameters emergence. To this end, emergence several genotypes M. truncatula was simulated conditions with germination simulation model. Methods After testing predictive quality by comparing simulations field observations numerical performed wide (sowing dates × years seedbed structure). set five previously parameterized two virtual engineered maximize potential diversity. Key Results The results gave an average value 5 ‐10 % difference final between genotypes, which low, but analysis underlined considerable inter-annual variation. describing processes quantified ranked according their contribution variation Seedling non-emergence mainly related mechanical obstacles (40‐50 %). More generally, that accelerated time course significantly contributed limiting risk soil surface crusting occurring before seedling Conclusions model-assisted demonstrated its usefulness helping identify have influence could be improved breeding programmes. These should also enable deeper determinism main influencing emergence, using genomic tools available plant.