Genome-enabled prediction using probabilistic neural network classifiers

BMC Genomics

Table 1 Maize datasets – three classes

				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

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

ISSN: 1471-2164