In the last two decades, the productivity of the rice–wheat growing system (RWGS) in the upper Indo‐Gangetic Plains of India has come to a plateau, and, as a result, farmers are now shifting to other crop growing systems (cropping sysytems) to achieve a higher net productivity. Inclusion of other cropping systems in place of the rice–wheat system affects overall crop productivity; however, there is dearth of information with respect to nutrient index (NI), microbial diversity, and soil quality. This study was carried out to assess how NI, microbial diversity, and soil quality changed after replacement of rice–wheat by a vegetable growing system (VGS), pulse growing system (PGS), potato growing system (PoGS), and a mustard growing system (MGS). An analysis of 307 soil samples from these crop growing systems revealed a soil pH range of 6.58–8.87 with 75.3% soils falling within the low category of mineralized N, and low NI (<1.67). The highest NI, enzymatic activity, and microbial diversity was recorded under PGS, which restored 34.2, 24.1, and 10.2% greater soil organic carbon (SOC) than other systems, and had a better carbon substrate oxidation rateand mineralized N than PoGS. The diversity indices peaked under PGS followed by VGS due to greater SOC, mineralized N, higher microbial counts, and more soil enzymes. Among the different crop growing systems the soil quality index (SQI) ranged from 0.647 (for PoGS) to 0.783 (for VGS) . The silt content, SOC, Zn, TN, acid phosphatase activity, available P, and total culturable fungi were the key soil indicators across all the crop growing systems. SOC is the most important and viable indicator for all the crop growing systems that affected microbial dynamics and soil quality. The greater SQI under VGS was due to the addition of organic manure and augmented SOC, P, and Zn availability. In contrast, the highest microbial and enzymatic activities, and functional diversity was recorded under PGS mainly due to greater edaphic variables. It is concluded that the pulse growing system (PGS) is the best for maintaining higher NI, and improving microbial and functional diversity.

Sodicland reclamation in the Indo-Gangetic plains is being done on a large scale in the states of Uttar Pradesh, Punjab and Haryana in India. However, in certain areas, the reclamation has been reported to be unsustainable and the soils are reverting back to sodicity condition. A study was conducted in one of the reclamation sites of Etawah district for sustainability assessment of sodic land reclamation using remote sensing, Geographic Information system (GIS) and ancillary ground information. Multitemporal satellite data were used for delineation of reclaimed sodiclands and reverted sodic land. Field survey was conducted to find out the various causative factors. Groundwater level information and detailed field survey data were analysed in GIS environment. Results showed that in the reclamation site covering 3,905 ha. in 57 villages of the district, about 27 per cent of reclaimed lands were reverted to sodicity. High water table condition, improper drainage, nearness to canal (within 500 m), and hard pan in the sub-soil were found to be the reasons for unsustainability of reclamation.

The study presents a soil survey carried out in two nyayapanchayats, consisting of 23 villages of Amethi district of Uttar Pradesh. The soil resource database has been generated by interpreting Resourcesat-1 LISS-IV and Cartosat-1 merged data on 1:10,000 scale. Six physiographic units have been delineated in the area and soil compositions in each unit have been correlated. Twelve soil series have been mapped. The soil database was integrated with plot (khasra) boundary which help in generating soil information at plot and farmer level. Village level action plan for sustainable land and crop management has also been prepared. Information on land capability, land irrigability, crop suitability and Storie index rating have also been generated. It is observed that LISS-IV and Cartosat-1 merged satellite data help in generating village level soil information, useful for detailed micro-level planning. The soil problems identified in the area include sodicity, erosion, and poor drainage.