Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India
False smut disease (FSD) of rice incited by Ustilaginoidea virens is an emerging threat to paddy cultivation worldwide. We investigated the spatial distribution of FSD in different paddy ecosystems of South Indian states, viz., Andhra Pradesh, Karnataka, Tamil Nadu, and Telangana, by considering the...
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my.upm.eprints.1032612023-11-22T03:52:06Z http://psasir.upm.edu.my/id/eprint/103261/ Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India Huded, Sharanabasav Pramesh, Devanna Chittaragi, Amoghavarsha Sridhara, Shankarappa Chidanandappa, Eranna Prasannakumar, Muthukapalli K. Manjunatha, Channappa Patil, Balanagouda Shil, Sandip Pushpa, Hanumanthappa Deeshappa Raghunandana, Adke Usha, Indrajeet Balasundram, Siva K. Shamshiri, Redmond R. False smut disease (FSD) of rice incited by Ustilaginoidea virens is an emerging threat to paddy cultivation worldwide. We investigated the spatial distribution of FSD in different paddy ecosystems of South Indian states, viz., Andhra Pradesh, Karnataka, Tamil Nadu, and Telangana, by considering the exploratory data from 111 sampling sites. Point pattern and surface interpolation analyses were carried out to identify the spatial patterns of FSD across the studied areas. The spatial clusters of FSD were confirmed by employing spatial autocorrelation and Ripley’s K function. Further, ordinary kriging (OK), indicator kriging (IK), and inverse distance weighting (IDW) were used to create spatial maps by predicting the values at unvisited locations. The agglomerative hierarchical cluster analysis using the average linkage method identified four main clusters of FSD. From the Local Moran’s I statistic, most of the areas of Andhra Pradesh and Tamil Nadu were clustered together (at I > 0), except the coastal and interior districts of Karnataka (at I < 0). Spatial patterns of FSD severity were determined by semi-variogram experimental models, and the spherical model was the best fit. Results from the interpolation technique, the potential FSD hot spots/risk areas were majorly identified in Tamil Nadu and a few traditional rice-growing ecosystems of Northern Karnataka. This is the first intensive study that attempted to understand the spatial patterns of FSD using geostatistical approaches in India. The findings from this study would help in setting up ecosystem-specific management strategies to reduce the spread of FSD in India. Multidisciplinary Digital Publishing Institute 2022 Article PeerReviewed Huded, Sharanabasav and Pramesh, Devanna and Chittaragi, Amoghavarsha and Sridhara, Shankarappa and Chidanandappa, Eranna and Prasannakumar, Muthukapalli K. and Manjunatha, Channappa and Patil, Balanagouda and Shil, Sandip and Pushpa, Hanumanthappa Deeshappa and Raghunandana, Adke and Usha, Indrajeet and Balasundram, Siva K. and Shamshiri, Redmond R. (2022) Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India. Agronomy, 12 (12). art. no. 2947. pp. 1-18. ISSN 2073-4395 https://www.mdpi.com/2073-4395/12/12/2947 10.3390/agronomy12122947 |
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False smut disease (FSD) of rice incited by Ustilaginoidea virens is an emerging threat to paddy cultivation worldwide. We investigated the spatial distribution of FSD in different paddy ecosystems of South Indian states, viz., Andhra Pradesh, Karnataka, Tamil Nadu, and Telangana, by considering the exploratory data from 111 sampling sites. Point pattern and surface interpolation analyses were carried out to identify the spatial patterns of FSD across the studied areas. The spatial clusters of FSD were confirmed by employing spatial autocorrelation and Ripley’s K function. Further, ordinary kriging (OK), indicator kriging (IK), and inverse distance weighting (IDW) were used to create spatial maps by predicting the values at unvisited locations. The agglomerative hierarchical cluster analysis using the average linkage method identified four main clusters of FSD. From the Local Moran’s I statistic, most of the areas of Andhra Pradesh and Tamil Nadu were clustered together (at I > 0), except the coastal and interior districts of Karnataka (at I < 0). Spatial patterns of FSD severity were determined by semi-variogram experimental models, and the spherical model was the best fit. Results from the interpolation technique, the potential FSD hot spots/risk areas were majorly identified in Tamil Nadu and a few traditional rice-growing ecosystems of Northern Karnataka. This is the first intensive study that attempted to understand the spatial patterns of FSD using geostatistical approaches in India. The findings from this study would help in setting up ecosystem-specific management strategies to reduce the spread of FSD in India. |
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Huded, Sharanabasav Pramesh, Devanna Chittaragi, Amoghavarsha Sridhara, Shankarappa Chidanandappa, Eranna Prasannakumar, Muthukapalli K. Manjunatha, Channappa Patil, Balanagouda Shil, Sandip Pushpa, Hanumanthappa Deeshappa Raghunandana, Adke Usha, Indrajeet Balasundram, Siva K. Shamshiri, Redmond R. |
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Huded, Sharanabasav Pramesh, Devanna Chittaragi, Amoghavarsha Sridhara, Shankarappa Chidanandappa, Eranna Prasannakumar, Muthukapalli K. Manjunatha, Channappa Patil, Balanagouda Shil, Sandip Pushpa, Hanumanthappa Deeshappa Raghunandana, Adke Usha, Indrajeet Balasundram, Siva K. Shamshiri, Redmond R. Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India |
author_facet |
Huded, Sharanabasav Pramesh, Devanna Chittaragi, Amoghavarsha Sridhara, Shankarappa Chidanandappa, Eranna Prasannakumar, Muthukapalli K. Manjunatha, Channappa Patil, Balanagouda Shil, Sandip Pushpa, Hanumanthappa Deeshappa Raghunandana, Adke Usha, Indrajeet Balasundram, Siva K. Shamshiri, Redmond R. |
author_sort |
Huded, Sharanabasav |
title |
Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India |
title_short |
Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India |
title_full |
Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India |
title_fullStr |
Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India |
title_full_unstemmed |
Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India |
title_sort |
spatial distribution patterns for identifying risk areas associated with false smut disease of rice in southern india |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
http://psasir.upm.edu.my/id/eprint/103261/ https://www.mdpi.com/2073-4395/12/12/2947 |
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1783879945567600640 |
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13.160551 |