Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence.

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2019
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Abstract
Breeding crops for high yield and superior adaptability to new and variable climates is imperative to ensure continued food security, biomass production, and ecosystem services. Advances in genomics and phenomics are delivering insights into the complex biological mechanisms that underlie plant functions in response to environmental perturbations. However, linking genotype to phenotype remains a huge challenge and is hampering the optimal application of high-throughput genomics and phenomics to advanced breeding. Critical to success is the need to assimilate large amounts of data into biologically meaningful interpretations. Here, we present the current state of genomics and field phenomics, explore emerging approaches and challenges for multiomics big data integration by means of next-generation (Next-Gen) artificial intelligence (AI), and propose a workable path to improvement.
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harfouche2019acceleratingtrends Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Harfouche, Antoine L;Jacobson, Daniel A;Kainer, David;Romero, Jonathon C;Harfouche, Antoine H;Scarascia Mugnozza, Giuseppe;Moshelion, Menachem;Tuskan, Gerald A;Keurentjes, Joost J B;Altman, Arie;
Journal Trends in Biotechnology
Year 2019
DOI
S0167-7799(19)30114-3
URL
Keywords
genomics augmented breeding explainable ai field phenomics next-generation artificial intelligence smart farming

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