Article
Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates.
Genetics - 5 Feb 2025
Washburn Jacob D, Varela José Ignacio, Xavier Alencar, Chen Qiuyue, Ertl David, Gage Joseph L, Holland James B, Lima Dayane Cristina, Romay Maria Cinta, Lopez-Cruz Marco, de Los Campos Gustavo, Barber Wesley, Zimmer Cristiano, Trucillo Silva Ignacio, Rocha Fabiani, Rincent Renaud, Ali Baber, Hu Haixiao, Runcie Daniel E, Gusev Kirill, Slabodkin Andrei, Bax Phillip, Aubert Julie, Gangloff Hugo, Mary-Huard Tristan, Vanrenterghem Theodore, Quesada-Traver Carles, Yates Steven, Ariza-Suárez Daniel, Ulrich Argeo, Wyler Michele, Kick Daniel R, Bellis Emily S, Causey Jason L, Soriano Chavez Emilio, Wang Yixing, Piyush Ved, Fernando Gayara D, Hu Robert K, Kumar Rachit, Timon Annan J, Venkatesh Rasika, Segura Abá Kenia, Chen Huan, Ranaweera Thilanka, Shiu Shin-Han, Wang Peiran, Gordon Max J, Amos B Kirtley, Busato Sebastiano, Perondi Daniel, Gogna Abhishek, Psaroudakis Dennis, Chen Chun-Peng James, Al-Mamun Hawlader A, Danilevicz Monica F, Upadhyaya Shriprabha R, Edwards David, de Leon Natalia
Abstract excerpt
Predicting phenotypes from a combination of genetic and environmental factors is a grand challenge of modern biology. Slight improvements in this area have the potential to save lives, improve food and fuel security, permit better care of the planet, and create other positive outcomes. In 2022 and 2023, the first open-to-the-public Genomes to Fields initiative Genotype by Environment prediction competition was...
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