Quantile function modeling with application to salinity tolerance analysis of plant data

BMC Plant Biology

Table 1 Results of mean regression between plant traits and yield

Traits	Coefficient value	Standard error	p-value
Intercept	109.9237	3.5151	2e-16 ^∗
Plant height (cm)	0.3526	0.2329	0.130530
Flowering time (days)	-1.1282	0.3195	0.000438 ^∗
Ripening period (days)	-0.8952	2.5387	0.724464
Ear number per plant	10.3050	3.2122	0.001390 ^∗
Grain number per ear	6.7732	0.7903	2e-16 ^∗
Condition	27.7525	4.2314	9.77e-11 ^∗
Condition × Plant height (cm)	-0.6567	0.2811	0.019716 ^∗
Condition × Flowering time (days)	-0.2733	0.4232	0.518699
Condition × Ripening period (days)	1.2312	2.9102	0.672357
Condition × Ear number per plant	-0.5443	3.6711	0.882178
Condition × Grain number per ear	0.9860	1.0241	0.335920

The three columns represent the estimated coefficient value, standard error and the p-value for the respective covariate obtained by fitting a multiple mean regression model with sample size 808. The significant p-values are marked with a ‘*’, for a significance level of 0.05. The variable condition is a dummy variable and was coded 1 for non-saline conditions and 0 for saline conditions. a × b represents the interaction between a and b

ISSN: 1471-2229