Plant leaf spot disease resistance identification new method
An identification method and plant leaf technology are applied in the field of plant leaf spot disease resistance identification, which can solve the problems of low data reliability and leaf occlusion, and achieve the effect of accurate data.
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[0032] Example 1: The grading standard of the whole plant disease degree of corn leaf spot disease. See instructions attached image 3 .
[0033] This method is a traditional grading standard for disease severity, with a large range of disease grades, and quantitative traits can only be used as qualitative traits.
Example Embodiment
[0034] Example 2: Rice seedling leaf blast resistance grading standard (IRRI). See instructions attached Figure 4 .
[0035] This is the rice seedling blast resistance classification standard, which is far from the disease classification standard of Example 1. Different crop resistance classification standards are different, and the classification standards are not universal.
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[0036] Embodiment 3: Embodiment 3 is the present invention.
[0037] 1) Take the leaves to be identified, the leaves are randomly obtained leaves with distinct leaf spots as the samples to be tested.
[0038] 2) Scan the leaf image with a color scanner.
[0039] 3) The measured leaf area pixel value is 1861771, and the lesion area is 200962. See instructions attached Figure 5 , 6 .
[0040] 4) According to the formula, the incidence of a single leaf can be calculated, and the ratio of disease spots to leaf area is 10.7941%. After calculation, it can be seen that the pixel ratio is 165, and the actual leaf area is=1861771 / 165 2 =68.3846(cm 2 ), the actual lesion area = 200962 / 165 2 =7.3815(cm 2 ).
[0041] 5) If you want to calculate the disease degree of the whole plant, it can be calculated according to the formula.
[0042] 6) If you want to estimate the resistance of the entire group, sampling inspection is enough.
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