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Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products.
Proc Natl Acad Sci U S A. 2023 Apr 4;120(14):e2205771120. doi: 10.1073/pnas.2205771120. Epub 2023 Mar 27.
Proc Natl Acad Sci U S A. 2023.
PMID: 36972430
Free PMC article.
Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy.
Silva JV, Heerwaarden JV, Reidsma P, Laborte AG, Tesfaye K, Ittersum MKV.
Silva JV, et al. Among authors: heerwaarden jv.
Field Crops Res. 2023 Oct 15;302:109063. doi: 10.1016/j.fcr.2023.109063.
Field Crops Res. 2023.
PMID: 37840838
Free PMC article.
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