. 2021 Aug 18;9:e12005. doi: 10.7717/peerj.12005

Table 4. Best estimates of the slopes (m) and y-intercepts (c), and associated errors ( $δ m$ and $δ c$ ), for the significant linear regressions in Fig. 7 after taking into consideration the measurement errors of both leaf water potential and NDVI.

The number of data points in each regression is indicated in the column n, and the relative error for predicted leaf water potential based on uncertainties in m and c is shown in the column $δ Y$ /Y.

Crop	Date	Irrigation^†	n	m (δm)	c (δc)	δY/Y
Wheat	Apr. 12	F	8	−28.95 (3.02)	18.03 (2.13)	2.10
Corn	Jun. 7	D	9	31.91 (3.40)	−23.31 (2.32)	4.04
	Jun. 7	F	9	42.17 (7.76)	−31.85 (5.65)	9.47
	Jun. 11	D	9	67.45 (22.41)	−44.36 (14.35)	16.40
Cotton	Aug. 9	D	9	4.75 (1.04)	−5.34 (0.51)	0.33
	Aug. 9	F	9	4.88 (1.34)	−5.64 (0.73)	0.52
	Aug. 9	D/F	18	4.24 (0.77)	−5.19 (0.39)	0.27

Note:

^†

“D” and “F” represent “deficit” and “full” irrigation.

Table 4. Best estimates of the slopes (m) and y-intercepts (c), and associated errors (δm and δc), for the significant linear regressions in Fig. 7 after taking into consideration the measurement errors of both leaf water potential and NDVI.

Table 4. Best estimates of the slopes (m) and y-intercepts (c), and associated errors ( $δ m$ and $δ c$ ), for the significant linear regressions in Fig. 7 after taking into consideration the measurement errors of both leaf water potential and NDVI.