Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates.
Washburn JD, Varela JI, Xavier A, Chen Q, Ertl D, Gage JL, Holland JB, Lima DC, Romay MC, Lopez-Cruz M, de Los Campos G, Barber W, Zimmer C, Silva IT, Rocha F, Rincent R, Ali B, Hu H, Runcie DE, Gusev K, Slabodkin A, Bax P, Aubert J, Gangloff H, Mary-Huard T, Vanrenterghem T, Quesada-Traver C, Yates S, Ariza-Suárez D, Ulrich A, Wyler M, Kick DR, Bellis ES, Causey JL, Chavez ES, Wang Y, Piyush V, Fernando GD, Hu RK, Kumar R, Timon AJ, Venkatesh R, Abá KS, Chen H, Ranaweera T, Shiu SH, Wang P, Gordon MJ, Amos BK, Busato S, Perondi D, Gogna A, Psaroudakis D, Chen CPJ, Al-Mamun HA, Danilevicz MF, Upadhyaya SR, Edwards D, de Leon N.
Washburn JD, et al. Among authors: perondi d.
bioRxiv [Preprint]. 2024 Sep 19:2024.09.13.612969. doi: 10.1101/2024.09.13.612969.
bioRxiv. 2024.
PMID: 39345633
Free PMC article.
Preprint.