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. 2022 Aug 23;11:giac080. doi: 10.1093/gigascience/giac080

Table 1:

Studies from which maize trait data sets were drawn

Reference Study type Phenotypes scoreda Accessions evaluatedb Panel
Peiffer et al. 2014 [23] Reproductive & Vegetative 11 737 Ames Panel
Hirsch et al. 2014 [7] Reproductive & Vegetative 3 427 WiDiv-503
Leiboff et al. 2015 [3] Agronomic, Cellular/Biochemical, & Vegetative 9 378 SAM
Lin et al. 2017 [24] Cellular/Biochemical, Root, & Vegetative 16 363 SAM
Gustafson et al. 2018 [25] Disease 7 447 WiDiv-503
Gage et al. 2018 [26] Reproductive 16 817 WiDiv-942
Mazaheri et al. 2019 [8] Cellular/Biochemical & Vegetative 5 788 WiDiv-942
Qiao et al. 2019 [27] Cellular/Biochemical 4 429 WiDiv-503
Sekhon et al. 2019 [28] Agronomic 3 364 WiDiv-503
Zheng et al. 2019 [29] Agronomic, Root 13 359 SAM
Azodi et al. 2020 [30] Reproductive & Vegetative 3 388 WiDiv-503
Lin et al. 2020 [31] Cellular/Biochemical & Reproductive 8 439 WiDiv-503
Renk et al. 2021 [32] Seed Composition 16 499 WiDiv-503
Schneider et al. 2021 [33] Root 1 599 WiDiv-503
Zhou et al. 2021 [34] Reproductive 17 339 SAM
Sun et al. 2021 [13] Disease 1 687 WiDiv-942
Previously unpublished Agronomic, Disease, Reproductive, & Vegetative 29 752 WiDiv-942

aPhenotypes used in this study from the phenotypes scored in respective studies (after removing exact same phenotype values if used in another study).

bThe highest number of accessions with phenotype data used in this study from the respective publication.