Academia.eduAcademia.edu

Figure 1 – uploaded by VINEETH Jeerla

See full PDFdownloadDownload figure
Table 1: Effect of weather parameters on severity of chilli powdery mildew caused by Leveillula taurica (Lev Arn. during 2020-2021. Table 2: Correlation matrix of epidemiological factors and chilli powdery mildew disease severity during 2020-21.

Table 1 Effect of weather parameters on severity of chilli powdery mildew caused by Leveillula taurica (Lev Arn. during 2020-2021. Table 2: Correlation matrix of epidemiological factors and chilli powdery mildew disease severity during 2020-21.

Related Figures (8)

This revealed that when there was increase in one unit of maximum and minimum temperature, maximum relative humidity, rainfall and wind speed the per cent Fig. 1. Influence of Weather Parameters on Chilli Powdery Mildew during 2020-21.
This revealed that when there was increase in one unit of maximum and minimum temperature, maximum relative humidity, rainfall and wind speed the per cent Fig. 1. Influence of Weather Parameters on Chilli Powdery Mildew during 2020-21.
Note: * indicates significance at 5 per cent level Table 3: Multiple linear regression analysis for influence of weather parameters on chilli powdery mildew disease.
Note: * indicates significance at 5 per cent level Table 3: Multiple linear regression analysis for influence of weather parameters on chilli powdery mildew disease.
PDI = Per cent Disease Index Simple regression equation y = 8.32 + 0.95x Co-efficient of correlation R = 0.95741 R? = 0.9166 Table 4: Observed and predicted PDI values by using simple regression equation for chilli powdery mildew progression during 2020-21.
PDI = Per cent Disease Index Simple regression equation y = 8.32 + 0.95x Co-efficient of correlation R = 0.95741 R? = 0.9166 Table 4: Observed and predicted PDI values by using simple regression equation for chilli powdery mildew progression during 2020-21.
Fig. 2. Observed and predicted PDI values as per the simple regression equation for chilli powdery mildew progression during 2020-2021.
Fig. 2. Observed and predicted PDI values as per the simple regression equation for chilli powdery mildew progression during 2020-2021.
PDI = Per cent Disease Index AUDPC = Area Under Disease Progressive Curve r= Apparent Rate of Infection Fig. 3. Apparent rate of infection(r) of chilli powdery mildew during 2020-2021.
PDI = Per cent Disease Index AUDPC = Area Under Disease Progressive Curve r= Apparent Rate of Infection Fig. 3. Apparent rate of infection(r) of chilli powdery mildew during 2020-2021.
Fig. 4. Area Under Disease Progress Curve (AUDPC) for Chilli powdery mildew during 2020-2021.
Fig. 4. Area Under Disease Progress Curve (AUDPC) for Chilli powdery mildew during 2020-2021.
Table 5: Apparent rate of infection (7) and Area Under Disease Progress Curve (AUDPC) for chilli powdery mildew during 2020-2021.
Table 5: Apparent rate of infection (7) and Area Under Disease Progress Curve (AUDPC) for chilli powdery mildew during 2020-2021.
Related topics:
Entomology and Plant Pathology
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved