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Table 1 Results of linear regression analysis on leaf morphometric variables for Swiss chard and spinach

From: High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysis

 

Swiss chard

Spinach

R2 (adjusted)

Intercept

Slope

R2 (adjusted)

Intercept

Slope

Leaf area (px)

5.6e−02

0.13

9.7e−03**

2.5e−03**

0.41

0.39

Lesion area (px)

4e−03**

1.8e−07***

0.46

0.89

2e−16***

2e−16***

Damage (%)

6e−03**

9.3e−06***

0.21

0.91

2e−16***

2e−16***

Lesions (n)

0.34

0.82

8e−11***

0.21

3.7e−15***

8.5e−07***

Microlesions (1 px)

0.99

0.97

2e−16***

0.99

2.5e−03**

2e-16***

Mesolesions (2–200 px)

0.11

0.02*

3.3e−04***

0.06

2e−16***

7e−03**

Macrolesions (> 200 px)

0.05

4.9e−06***

8e−03**

0.38

9.5−04***

3.5e−12***

  1. ***p < 0.001, **p < 0.01. *p < 0.05. LiMu results are used as the explained variable and IMAGEJ results as the explanatory variable. Linear regression analysis was performed on 50% of the experimental dataset. The results shown are for the model: \(y_{LiMu} - x_{ImageJ} = \beta_{0} + \beta_{1} x_{ImageJ}\)