Welcome to AICRP on Potato
Potato is one of the major non-cereal food crops and currently ranks 4th in production in the world after maize, wheat and rice. The productivity of potato in India is quite low (9.97 t/ha) during the period of inception of AICRP (1970-71). The ample scope of improving the productivity of potato in sub-tropical climates of India was felt AICRP on Potato was established to carry out region specific trials on evaluation of new hybrids, agronomic practices, potato based cropping systems, control measures for various diseases and pests, potato storage practices and identification of methods for reducing post-harvest losses. In view of these eventualities the All India Coordinated Research Project (AICRP) on Potato was initiated during 4th
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Achievements Since inception
Crop Improvement: (Detailed in Annexure-IV)
- 1231 hybrids evaluated and 43 were recommended for commercial release.
- One TPS population (92 PT 27) was also recommended.
Crop Production: (Detailed in Annexure- IV)
- 118 region-specific potato production recommendations were brought out.
Crop Protection: (Detailed in Annexure- IV)
- 62 plant protection measures were recommended.
Seed Production: (Detailed in Annexure- IV)
- 4 recommendations were also brought out on potato seed production.
ICAR-AICRP (Potato), CPRI, Shimla
Success story of Late Blight Management
Late blight is the most dreaded disease of potato causing annual crop loss of about 12 billion € globally. Its appearance and spread is highly dependent on environmental factors. Under favourable conditions its spread is so fast that it can wipe out the crop within a week time. In India it is very serious in the hills where it occurs regularly but in the plains it may or may not appear and even if it appears its time of occurrence would vary. The time of its occurrence and severity determines the yield loss which may exceed 40% country wide in some years. Prevention through prophylactic sprays of recommended chemicals is the best option since once it appears it is very difficult to control. This, however, requires information on the likely time of appearance of the disease and hence the importance of disease forecasting.