Global soils are under extreme pressure from various threats due to population expansion, economic development, and climate change. Mapping of land degradation vulnerability (LDV) using geospatial techniques play a significant role and has great importance, especially in semi-arid climates for the management of natural resources in a sustainable manner. The present study was conducted to assess the spatial distribution of land degradation hotspots based on some important parameters such as land use/land cover (LULC), Normalized Difference Vegetation Index (NDVI), terrain characteristics (Topographic Wetness Index and Multi-Resolution Index of Valley Bottom Flatness), climatic parameters (land surface temperature and mean annual rainfall), and pedological attributes (soil texture and soil organic carbon) by using Analytical Hierarchical Process (AHP) and GIS techniques in the semi-arid region of the Bundi district, Rajasthan, India. Land surface temperature (LST) and NDVI products were derived from time-series Moderate-Resolution Imaging Spectroradiometer (MODIS) datasets, rainfall data products from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), terrain characteristics from Shuttle Radar Topography Mission (SRTM), LULC from Landsat 9, and pedological variables from legacy soil datasets. Weights derived for thematic layers from the AHP in the studied area were as follows: LULC (0.38) > NDVI (0.23) > ST (0.15) > LST (0.08) > TWI (0.06) > MAR (0.05) > SOC (0.03) > MRVBF (0.02). The consistency ratio (CR) for all studied parameters was <0.10, indicating the high accuracy of the AHP. The results show that about 20.52% and 23.54% of study area was under moderate and high to very high vulnerability of land degradation, respectively. Validation of LDV zones with the help of ultra-high-resolution Google Earth imageries indicates good agreement with the model outputs. The research aids in a better understanding of the influence of land degradation on long-term land management and development at the watershed level.

Weed management has become the most important and inevitable aspect of crop management for achieving a higher rice yield. Nowadays, chemical herbicide application has become a popular practice for managing weeds in different rice cultures. However, herbicide application can have qualitative and quantitative impacts on soil microorganisms and soil enzymes, particularly in the case of new herbicide molecules and their indiscriminate use for a longer period. Further, different rice establishment methods also play a significant role in soil microbial population dynamics as well as soil biological properties. Keeping these in view, a field experiment was conducted at the Agronomy Main Research Farm, Orissa University of Agriculture and Technology (OUAT), India, during the kharif season of 2016 and 2017, on the impact of crop establishment methods and weed management practices on soil microbial and enzymatic status. The field experiment was laid out in a split-plot design with three replications with four crop establishment methods in the main plot, viz., M₁, Direct Seeded Rice (DSR); M₂, Wet Seeded Rice (WSR); M₃,Unpuddled Transplanted Rice (NPTR); M₄, Puddled Transplanted Rice (PTR), and six weed management practices in the sub-plot, viz., W₁, Weedy check; W₂, Bensulfuron methyl 0.6% + Pretilachlor 6% (pre-emergence (PE)) 0.660 kg ha⁻¹ + Hand weeding (HW) at 30 days after sowing/transplanting (days after sowing/transplanting (DAS/T)); W₃, Bensulfuron methyl 0.6% + Pretilachlor 6% (PE) 0.495 kg ha⁻¹ + HW at 30 DAS/T; W₄, Bensulfuron methyl 0.6% + Pretilachlor 6% (PE) 0.495 kg ha⁻¹ + Bispyribac-Sodium (post-emergence(POE)) 0.025 kg ha⁻¹ at 15 DAS/T; W₅, Cono weeding (CW) at 15 DAS/T + hand weeding 30 DAS/T, and W₆, Brown manuring/Green manuring. The initial decline in the microbial population was observed due to herbicide application in NPTR and PTR up to 7 DAS/T and then it increased up to 28 DAS/T. There was a reduction in soil microbial and enzymatic status after the application of herbicides Bensulfuron methyl 0.6% + Pretilachlor 6% (PE) and Bispyribac-Sodium (POE) that again followed an upward graph with crop age. Significant variation in enzymatic activity and the microbial count was also observed among treatments involving crop establishment methods. The study revealed that improved microbial population and enzyme activity were noted in unpuddled transplanted rice under organic weed management due to favorable conditions, and chemical weed control initially affected microbial population and activities.

The value of combining hybridization and mutagenesis in sesame was examined to determine if treating hybrid sesame plant material with mutagens generated greater genetic variability in four key productivity traits than either the separate hybridization or mutation of plant material. In a randomized block design with three replications, six F₂M₂ varieties, three F₂varieties, and three parental varieties were assessed at Odisha University of Agriculture and Technology, Bhubaneswar, Odisha, India. The plant characteristics height, number of seed capsules per plant, and seed yield per plant had greater variability in the F₂M₂ generation than their respective controls (F₂), however, the number of primary branches per plant varied less than in the control population. The chances for trait selection to be operative were high for all the characteristics examined except the number of primary branches per plant, as indicated by heritability estimates. Increases in the mean and variability of the characteristics examined indicted a greater incidence of beneficial mutations and the breakdown of undesirable linkages with increased recombination. At both phenotypic and genotypic levels strong positive correlations between both primary branch number and capsule number with seed yield suggest that these traits are important for indirect improvement in sesame seed yield. As a result of the association analysis, sesame seed yield and its component traits improved significantly, which may be attributed to the independent polygenic mutations and enlarged recombination of the polygenes controlling the examined characteristics. Compared to the corresponding control treatment or to one cycle of mutagenic treatment, two cycles of mutagenic treatment resulted in increased variability, higher transgressive segregates, PTS mean and average transgression for sesame seed yield. These findings highlight the value of implementing two EMS treatment cycles to generate improved sesame lines. Furthermore, the extra variability created through hybridization may have potential in subsequent breeding research and improved seed yield segregants may be further advanced to develop ever-superior sesame varieties.

Finding a suitable crop establishment strategy that sustains rice production vis-à-vis soil health with minimum loss of yield due to weed menace is the need of the hour. A field experiment was conducted during 2016–17 and 2017–18 on the development of an innovative rice establishment method coupled with the best weed management for rice–green gram system. Establishment methods comprised of direct mechanical seeding of rice (DSR), sprouted rice seedling (WSR), rice transplanting in unpuddled soil (NPTR), and rice transplanting in puddled soil (PTR). There was six weed control measures viz. weedy check [W1), bensulfuron methyl 0.6% + pretilachlor 6% (pre emergence(PE)) at 0.660 kgha-1followed by (fb)manual weeding (HW) at 30 days after sowing or transplanting (DAS/T) [W2), W2 herbicidesat0.495kg ha-1fb HW at 30 (DAS/T) [W3), W2 herbicidesat0.495kgha-1fb0.025 kg ha-1 of bispyribac sodium (post emergence (POE)) at during 15 DAS/T [W4), mechanical weeding during 15 DAS/T using cono weeder (CW) fb hand weeding at 30 DAS/T [W5), and brown manuring/ green manuring [W6). The study revealed that the highest nutrient uptake by rice was found under PTR, thereby resulting in the best rice yield. Weed management W2 resulted in better weed management and yield of the crops. The soil NPK balance was found to be best under the brown/green manured plot, while under different establishment methods, the best N-balance was found in DSR. However, this establishment was found to be poor concerning P and K balance in soil.