A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families

Table 3 Genetic parameters of measures traits

Traits	SI	SIBH	r_gYld-N	r_gTSS-N	r_gYld-S	r_gTSS-S
DTF	0.087	2.359	− 0.604	0.134	0.169	0.163
DFF	0.070	1.304	− 0.374	0.050	0.242	0.165
DTH	0.051	1.010	− 0.170	0.214	0.132	0.235
Yld	0.040	1.076	1.000	− 0.211	1.000	0.046
SFW	0.187	0.094	1.000	− 0.430	0.992	− 0.287
SFV	0.223	0.987	0.931	− 0.232	0.916	0.019
FD	0.173	1.025	− 0.808	0.363	− 0.922	0.062
FWC	0.050	1.006	0.253	− 0.171	− 0.114	0.045
SPAD	0.020	1.006	0.091	0.009	− 0.087	− 0.077
pH	0.074	1.000	0.140	0.019	0.108	− 0.088
EC	0.203	0.998	− 0.203	0.754	0.016	0.705
TDS	0.200	1.002	− 0.200	0.758	0.017	0.708
Sal	0.210	0.999	− 0.200	0.754	0.008	0.705
TSS	0.113	1.000	− 0.211	1.000	0.046	1.000
RWC	0.733	0.776	0.596	− 0.012	0.401	− 0.154

DTF Number of days to 50% flowering, DFF Number of days to 50% fruit formation, DTH Number of days to harvesting, Yld fruit yield per plan, SFW average of single fruit weight, SFV average of single fruit volume, FD fruit density, FWC fruit water content, SPAD relative chlorophyll content, pH fruit juice acidity, EC fruit juice electrical conductivity, TDS total dissolved solids, Sal fruit juice salinity, TSS total soluble solids, RWC relative water content
SI stability index, SIBH stability index of broad sense heritability, r_gYld-N genetic correlation with Yld in normal experiment, r_gTSS-N genetic correlation with TSS in normal experiment, r_gYld-S genetic correlation with Yld in Stress experiment, r_gTSS-S genetic correlation with TSS in stress experiment

ISSN: 1746-4811