<p>In the present study, 7,744 accessions of cowpea [<i>Vigna unguiculata</i> (L.) Walp.] with locality information have been analyzed using DIVA-GIS for prediction modeling. The analysis has revealed that majority of the accessions (63.60%) represent northern region of the country as compared to other regions (18.69%). Of the total collected accessions, only 2,977 (32.66%) are conserved in the Indian National Genebank (INGB), with the maximum representation of accessions from Kerala (198), followed by Madhya Pradesh (137) and Odisha (127). The study has identified conservation gaps that need to be addressed in identified areas on a priority basis. Geographic information system (GIS) mapping of trait-specific germplasm comprising yield-contributing traits, viz<i>.,</i> days to maturity, 100 seed weight, and other traits was also done using the Shannon-Weiner diversity index. In order to determine the diversity pattern (0.0–3.9) in different Indian states, grid maps of the variability were generated. In these maps, orange-coloured grids (H = 2.9–3.9) indicate areas having the accessions (IC202931, IC202803) with the high 100 seed weight (HSW), collected from Khammam (Telangana) and South Goa (Goa) respectively. This study analyzed the current and future potential geographical distribution of cowpea. To know the ideal conditions for growing cowpea in probable suitable areas, data on area of cultivation and 19 bioclimatic variables were applied to generate the habitat suitability maps using BioClim model. Eastern Ghats region covering parts of Andhra Pradesh, Chhattisgarh, Jharkhand, and Odisha can be considered as probable suitable areas according to the present habitat prediction study. Keeping in view the pace of changing climate and its impact, priority should be given to visit cowpea-growing areas prone to tsunamis, cyclones, and floods for its germplasm collection and conservation.</p>

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Habitat prediction mapping for prioritizing germplasm collection areas of cowpea (Vigna unguiculata (L.) Walp) in India using BioClim model

  • Vivek Kumar,
  • D. P. Semwal,
  • Padmavati Ganpat Gore,
  • Jyoti Kumari,
  • D. P. Wankhede,
  • K. C. Bhatt,
  • P. K. Singh,
  • Kuldeep Tripathi

摘要

In the present study, 7,744 accessions of cowpea [Vigna unguiculata (L.) Walp.] with locality information have been analyzed using DIVA-GIS for prediction modeling. The analysis has revealed that majority of the accessions (63.60%) represent northern region of the country as compared to other regions (18.69%). Of the total collected accessions, only 2,977 (32.66%) are conserved in the Indian National Genebank (INGB), with the maximum representation of accessions from Kerala (198), followed by Madhya Pradesh (137) and Odisha (127). The study has identified conservation gaps that need to be addressed in identified areas on a priority basis. Geographic information system (GIS) mapping of trait-specific germplasm comprising yield-contributing traits, viz., days to maturity, 100 seed weight, and other traits was also done using the Shannon-Weiner diversity index. In order to determine the diversity pattern (0.0–3.9) in different Indian states, grid maps of the variability were generated. In these maps, orange-coloured grids (H = 2.9–3.9) indicate areas having the accessions (IC202931, IC202803) with the high 100 seed weight (HSW), collected from Khammam (Telangana) and South Goa (Goa) respectively. This study analyzed the current and future potential geographical distribution of cowpea. To know the ideal conditions for growing cowpea in probable suitable areas, data on area of cultivation and 19 bioclimatic variables were applied to generate the habitat suitability maps using BioClim model. Eastern Ghats region covering parts of Andhra Pradesh, Chhattisgarh, Jharkhand, and Odisha can be considered as probable suitable areas according to the present habitat prediction study. Keeping in view the pace of changing climate and its impact, priority should be given to visit cowpea-growing areas prone to tsunamis, cyclones, and floods for its germplasm collection and conservation.