Additional file 2 of Identifying yield-related genes in maize based on ear trait plasticity

Additional file 2: Table S1. Meteorological characteristics of experimental sites. Table S2. Transgenic lines planted in 2018. Table S3. Transgenic lines planted in 2019. Table S4. Gene Ontology enrichment analysis of all 717 genes from 2018 and 2019. Table S5. Classification of Gene Ontology biological processes. Table S6. Information on candidate regulatory genes associated with good plasticity

Additional file 3 of Identifying yield-related genes in maize based on ear trait plasticity

Additional file 3. Review history

Additional file 1 of Identifying yield-related genes in maize based on ear trait plasticity

Additional file 1: Figure S1. Phenotypic variation of ears from transgenic inbred lines planted in 2018. Figure S2. Phenotypic variation of ears from transgenic inbred lines planted in 2019. Figure S3. Distribution of the coefficient of variation for transgenic inbred lines planted in 2018. Figure S4. Distribution of the coefficient of variation for transgenic inbred lines planted in 2019. Figure S5. Correlation matrix plot of phenotypic ear characteristics of transgenic inbred lines planted in 2019. Figure S6. Genetic correlations among mean phenotype values, linear plasticity, and nonlinear plasticity for transgenic inbred lines planted in 2018. Figure S7. Genetic correlations among mean phenotype values, linear plasticity, and nonlinear plasticity for transgenic inbred lines planted in 2019. Figure S8. Distribution of genetic values and linear plasticity of phenotypes for transgenic inbred lines planted in 2019. Figure S9. Phenotypic plasticity of transgenic lines planted in 2018. Figure S10. Phenotypic plasticity of transgenic lines planted in 2019. Figure S11. Analyzing the performance of 16 candidate regulatory genes screened in 2018 based on AMMI model, coefficient of variation (CV), and average phenotypic value. Figure S12. Analyzing the performance of 28 candidate regulatory screened in 2019 based on AMMI model, coefficient of variation (CV), and average phenotypic value. Figure S13. Flow chart of relationship between different layers of MAIZTRO. Figure S14. Effect of overexpression and knockout of GRMZM2G077278 on phenotypic plasticity for normal kernel number in 2018. Figure S15. Plot from FWR analysis of genes that performed well and were present in lines planted in both 2018 and 2019 (n = 10 genes). Figure S16. Plot from FWR analysis of genes that performed well and were present in lines planted only in 2018 (n = 6 genes). Figure S17. Plot from FWR analysis of genes that performed well and were present in lines planted only in 2019 (n = 18 genes)