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Genetic dissection of grain yield and correlated proxy traits under suboptimal conditionsNARA Subscribed
Key message This eight-founder MAGIC population represents a powerful resource for dissecting complex traits in maize, assessing the utility of drought proxy traits, and optimizing low-coverage whole-genome sequencing approaches. Abstract Securing sustainable crop production requires the genetic improvement of abiotic stress tolerance. Due to the broad range of environmental factors causing abiotic stress and complex genotype-...
Assessing the potential of quantum computing in agricultureNARA Subscribed
Our recent publication on pollen‐based assisted migration has prompted concerns about its feasibility and effectiveness. In this response article, we address those concerns by presenting large‐scale examples of supplemental and controlled pollination from Sweden and the United States, demonstrating its practical application. We also highlight the existence of an extensive global network of seed orchards and expand on the benef...
Climate change poses an unprecedented threat to forest ecosystems, necessitating innovative adaptation strategies. Traditional assisted migration approaches, while promising, face challenges related to environmental constraints, forestry practices, phytosanitary risks, economic barriers, and legal constraints. This has sparked debate within the scientific community, with some advocating for the broader implementation of assist...
Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environmentsNARA Subscribed
Key Message The accuracy of genomic prediction of phenotypes can be increased by including the top-ranked pairwise SNP interactions into the prediction model. Abstract We compared the predictive ability of various prediction models for a maize dataset derived from 910 doubled haploid lines from two European landraces (Kemater Landmais Gelb and Petkuser Ferdinand Rot), which were tested at six locations in Germany and Spain. Th...
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