Studies on location specific seasonal survey for digital mapping of important mango diseases Y.R.

Introduction

Mango has been an important crop in Konkan region of Maharashtra state. The present study was undertaken to study the variation in disease intensity of cashew in Konkan region of Maharashtra state The variation of disease incidence and severity of disease resulting from devastating effects of plant pathogens, limits crop productivity globally, thus affecting food security. The effects of globalization, climate change, evolution and new emergence of pathogens, increases the more variation in spread of different plant disease. (Agrios, 2005) [1] . Plant-pathogenic fungal, bacterial and virus growth, development and disease is guided by critical environmental factors and are crucial in limiting the quality and quantity of agricultural produce. Climate change also disrupts and alters the distribution of different diseases, which poses a threat to agriculture (Rosenzweig et al., 2000; Scherm et al., 2000) [6,7] The season wise climate variation is becoming increasingly extreme and unpredictable (Paul et al., 2009) [5] , Consequently, early detection of pathogens, accurate diagnosis, assessment and its immediate intimation to the beneficiary or farmers is very crucial to undertake prevention and management measures in a particular area. (Myerson and Reaser, 2002) [4] . Lack of these measures will lead directly to inadequate disease control and reductions in crop production and quality. The collection and interpretation of data can be compiled and formatted in to virtual image on computer by producing map is called as digital mapping which will gives quick accurate information of disease status for the users or beneficiary. The Digital mapping will help to transfer the technology to enhance the delivery of public services, improve efficiency, and faster transparency (Guler M and Buyukozkon G 2023) [3] With this view, the efforts have been made to do location specific survey for digital mapping of important disease of mango in Sindhudurg district during winter and summer season for consecutive two years (2021-22) & (2022-23). The data of different disease collected is compiled and formatted into virtual image and make available for users. Sindhudurg district. The trial has been initiated by selecting the two farmers from each Tehsil of Sindhudurg district so as to conduct the fixed plot survey for digital mapping. The five trees each of mango were selected and tagged for future monitoring. On the basis of observations, Percent Disease Incidence (PI) and Percent Disease Index (PDI) of mango were calculated. (Table no.1 to 8).

Materials and Methods

The Percent Incidence (PI) and PDI is calculated by following formula.

No. of disease plant part observed Percent Incidence (PI) (%) = X 100 Total number of plant part observed Percent Disease Index (PDI) was calculated by using the formula.

Sum of all disease ratings PDI (%) = ×100 Total no. of ratings × Maximum disease grade

Results and Discussion

Conclusion

There is a seasonal variation in the disease intensity of major diseases of mango was found in Sindhudurg district. It is also observed that there is no new emergence of disease. The comparison between 2021-22 and 2022-23 clearly shown that the major diseases such Anthracnose, Red rust get decreases. However the minor disease such as branch dying increases which can be major disease of mango in future. The data which is digitalised in the form of digital mapping of major and minor disease of mango gives an instant information for the various farmers across the Sindhudurg district. After getting instant information at one location by farmer or expert or researcher through internet mode, he will immediately take precaution of the crop at his farm. This digital mapping will help him for early detection and diagnosis of disease for timely applications of foliar fungicides to avoid devastating losses. The quick information about the rapid diagnosis of plant pathogens is also critical because some fungicides cannot be applied after a certain stage in plant's maturity.

Acknowledgement

AcknowledgementAuthors are thankful to the number of the selected farmers from Sindhudurg district, Mango Sub-Centre Girye and the Mango Center of Regional Fruit Research Station, Vengurla Maharashtra, India for providing the mango plants to the experiment.

References

1. Agrios GN. Plant Pathology. 5th ed. Elsevier, USA; 2005. p. 922.
2. Canan BAJ, Davies C, S. E. Digital maps for learning: A review and prospects. Computers and Education. 2004;43(1-2):91-107.
3. Guler M, Buyukozkon G. A survey of digital government: Science mapping approach, application areas, and future directions. Systems. 2023;11:563.
4. Myerson LA, Reaser JK. Biosecurity: Moving toward a comprehensive approach. Bioscience. 2002;52:593-600.
5. Paul H, Ernsting A, Semino S, Gura S, Lorch A. Agriculture and Climate Change: Real Problems, False Solutions. Oxford, UK: EcoNexus; 2009.
6. Rosenzweig C, Iglesias A, Yang YB, Epstein PR, Chivian E. Climate Change and U.S. Agriculture: The Impacts of Warming and Extreme Weather Events on Productivity, Plant Diseases and Pest. Boston, MA, USA: Center for Health and the Global Environment, Harvard Medical School; 2000. p. 46.
7. Scherm H, Sutherst RW, Harrington R, Ingram JSI. Global networking for assessment of impacts of global change on plant pests. Environmental Pollution. 2000;108:333-341.