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Table 1 Maize datasets – three classes

From: Genome-enabled prediction using probabilistic neural network classifiers

     Number of individuals Number of individuals Number of individuals
Data set Trait-environment combination Number of SNP markers Total number of individuals Upper Upper Middle Middle Lower Lower
     15 % 30 % 40 % 70 % 15 % 30 %
GY-HI Yield in high yielding environment 46374 267 40 80 107 187 40 80
GY-LO Yield in low yielding environment 46374 269 40 81 107 189 40 81
GY-WW Yield in well watered 46374 242 36 73 96 170 36 73
GY-SS Yield in drought stressed 46374 242 36 73 96 170 36 73
ASI-WW Anthesis-silking interval in well watered 46374 258 39 79 102 180 39 77
ASI-SS Anthesis-silking interval in drought stressed 46374 258 40 77 103 179 39 78
MFL-WW Male flowering time in well watered 46374 258 40 139 103 178 40 78
MFL-SS Male flowering time in drought stressed 46374 258 39 77 104 179 40 77
FFL-WW Female flowering time in well watered 46374 258 39 77 104 179 40 77
FFL-SS Female flowering time in drought stressed 46374 258 39 77 104 180 39 77
GLS-1 Gray leaf spot in environment 1 46374 272 42 87 68 170 60 117
GLS-2 Gray leaf spot in environment 2 46374 280 48 85 77 176 56 118
GLS-3 Gray leaf spot in environment 3 46374 278 47 85 107 168 63 86
GLS-4 Gray leaf spot in environment 4 46374 261 48 96 74 154 59 91
GLS-5 Gray leaf spot in environment 5 46374 279 48 97 84 188 43 98
GLS-6 Gray leaf spot in environment 6 46374 281 63 85 90 140 78 106
  1. Trait–environment combination, number of markers, total number of individuals, number of individuals in the upper 15 and 30 % classes, in the middle 40 and 70 % classes, and in the lower 15 and 30 % classes from the empirical cumulative distribution function