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3. 2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative

4. Genomes to Fields 2022 Maize genotype by Environment Prediction Competition

5. 2018–2019 field seasons of the Maize Genomes to Fields (G2F) G x E project

6. Genetic mapping and prediction of flowering time and plant height in a maize Stiff Stalk MAGIC population

10. Genomic variation within the maize stiff‐stalk heterotic germplasm pool

14. Genome-wide association analysis of stalk biomass and anatomical traits in maize

17. Performance and phenotypic stability of maize hybrids containing exotic introgressions in multi‐environment trials.

24. Genomes to Fields 2022 Maize Genotype by Environment Prediction Competition

26. 2020-2021 Field Seasons of Maize G x E Project within Maize Genomes to Fields Initiative

28. Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets

32. Yield prediction through integration of genetic, environment, and management data through deep learning

35. Erratum to: Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds

40. Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

43. Insights into the Maize Pan-Genome and Pan-Transcriptome

45. Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets

49. Utility of anthesis–silking interval information to predict grain yield under water and nitrogen limited conditions.

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