Agricultural and Biological Sciences, Modeling and Simulation, Agronomy and Crop Science, Atmospheric Science
51
Scopus Publications
709
Scholar Citations
13
Scholar h-index
22
Scholar i10-index
Scopus Publications
Spatiotemporal analysis of drought and its teleconnections over agro climatic zones of India Sonam Sah, RN Singh, B. Das, Sudhir Kumar Mishra, Yogeshwar Singh, AK Singh, KS Reddy Environmental Earth Sciences, 2026 Understanding long-term spatiotemporal changes of drought and its linkage with climate modes is important from an agricultural perspective. Spatiotemporal trends of meteorological drought, quantified using the Standardized Precipitation Index (SPI), over Agro Climatic Zones (ACZs) of India from 1933–2022 were analyzed using the graphical Innovative Trend Analysis (ITA) along with traditional Mann-Kendall (MK)/modified Mann-Kendall (m-MK), Sen’s slope and simple linear regression. This study also analyzed the linkage between El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) with monsoon season meteorological drought over ACZs for 1903–2022. Variations in both SPI-4 of September and SPI-12 of December showed almost equal percentage of wet (SPI > 0, 49.9%) and dry (SPI < 0, 51.1%) years. Monsoon and annual drought frequencies varied from 12.5 to18.3%. The trend slopes of monsoon SPI-4 varied from − 0.14 to 0.11/10a, while the annual SPI-12 varied from − 0.14 to 0.19/10a. Long-term trends of both monsoon SPI-4 and annual SPI-12 showed significantly increasing drying tendencies in the central, northern and eastern parts of the country, while the peninsular India showed wetting trends, except in western coastal plains, where significant drying is observed. Monsoon SPI-4 in most ACZs was closely linked with ENSO (Niño 3.4 and SOI), while it showed almost no linkage to IOD (DMI). This suggests that the ENSO remains the dominant driver of drought variability in ACZs of India, whereas the IOD’s role appears marginal in modulating long-term drought risk. The outcomes of this work gives valuable insights for agricultural planning and water resource management strategies to mitigate drought risks in different ACZs of India.
Water footprint of wheat under different irrigation practices at Faridkot, Punjab SOURAV CHOUDHARY, SUDHIR KUMAR MISHRA, KULVIR SINGH, RAJ KUMAR PAL, PRABHJOT-KAUR SIDHU Journal of Agrometeorology, 2025 Field experiments were conducted during Rabi seasons at Punjab Agricultural University, Regional Research Station, Faridkot, Punjab for 13 years (2010-11 to 2022-23) to assess the water footprint (WF) of wheat crop irrigated through different methods such as conventional surface flood (SF) during 2010-11 to 2018-19, surface drip (SD) during 2019-20 to 2020-21, and subsurface drip (SSD) during 2021-22 to 2022-23. Results elucidated that quantity of the irrigation water applied to the wheat crop ranged between 209 and 375 mm in different years. Whereas, wheat yield ranged from 3450 kg ha⁻¹ (2017-18) to 5471 kg ha⁻¹ (2021-22). Wheat crop under SF irrigation recorded higher WFtotal 0.98 to 1.57 m³ kg⁻¹. The maximum rainfall 250.3 mm received in 2014-15 resulted highest WFgreen (0.46 m³ kg⁻¹) and lowest WFblue (0.45 m³ kg⁻¹). The wheat cultivation under SD and SSD reduced the WFgrey up to 35 % and WFblue up to 35.0 – 42.8 % over SF. The higher crop yield and/or fewer water consumption both are associated with the lower WF. Therefore, for hydrological resource conservation and to ensure environmental sustainability, irrigation through SSD and SD should be promoted over the traditional SF method among the farming community.
New Agronomical Approaches for Sustained Sugarcane Yields Kuldeep Singh, Sudhir Kumar Mishra Climate Smart Sugarcane Cultivation, 2025 Successful sugarcane cultivation depends on weather conditions, field preparation, planting techniques, seed selection, fertilization, irrigation, weed control, and ratoon management, etc. Weather factors such as rainfall, temperature, and sunlight play a pivotal role in sugarcane production. Adequate field preparation involving subsoiling improves soil structure and drainage facilitate the root development and nutrient availability. Different planting techniques, including trench planting, paired row trench planting, and furrow irrigated raised bed planting, offer advantages depending on soil type, irrigation availability, and desired crop density. Considering weather conditions, sugarcane planting at right time is crucial for optimal yields. Seed selection, seed rate, and seed treatment influence crop establishment and pest-disease management. Sugarcane ratooning is viable for reducing production costs. Timely and need-based fertilizer application improves productivity. Intercropping with sugarcane offers additional income. Effective irrigation and water management are crucial. Based on water availability and crop needs, irrigation techniques such as flood, furrow, skip furrow, alternate furrow, and micro-irrigation (sprinkler and drip irrigation) may be employed. Mulching maintains soil moisture and enhances water use efficiency. Earthing and propping up efficiently mitigate lodging risks. Appropriate 314frost protection is essential for low-temperature regions. Overall, regionspecific standard cultivation practices should be adapted for optimal yield and maximum profitability.
Global Warming Consequences and Management in Sugarcane P. K. Kingra, Sudhir Kumar Mishra, R. K. Pal Climate Smart Sugarcane Cultivation, 2025 Sugarcane, being a long-duration crop, passes through all the distinguished seasons of the year, thus it requires different sets of climatic conditions during its prolonged life cycle. For optimal vegetative growth it requires a warm and humid weather, but cool, sunny, and dry conditions during the ripening period. Temperature range of 20–26°C is suitable for sugarcane cultivation. However, the most favorable temperature range is 20–30°C for germination, 30–35°C for tillering, and 20°C for active growth. Due to global warming and climate change, increasing temperature and rainfall fluctuations affect the sugarcane growth and yield. Since, sugarcane crop growth is hampered under severe cold conditions, the hot weather increases the attack of pests and diseases. Higher temperature by increasing photorespiration and evapotranspiration rates reduces the process of sucrose conversion. Additionally, high temperature along with clear skies, dry weather, and low humidity lead to water stress but, decreases the severity and incidence of frost. To minimize the future climatic risks various management options such as timely and appropriate plantation technique, proper weed, disease, and pest control, efficient nutrient and water management, etc. have been evaluated. 34Adaptation of region-specific resilient cultivation practices is prerequisite for sustaining sugarcane productivity under changing climatic scenarios.
Predicting the seed cotton yield with value added medium range weather forecast data using CROPGRO-Cotton model at Bhathinda, Punjab SANYAM, R. K. PAL, P. K. KINGRA, ANUREET KAUR, S.K. MISHRA, TIRATH SINGH, ABHISHEK DHIR Journal of Agrometeorology, 2024 In order to assess the potential of the medium-range weather forecast in predicting the cotton productivity using crop simulation model, the CROPGRO-cotton model was calibrated and validated with the experimental data which was collected during kharif 2021 in an experiment that was carried out with two Bt cotton hybrid (RCH 776 and RCH 773) and one non-Bt (F2228), and sown at five dates i.e., April 25th, May 05th, May 15th, May 25th and June 04th in split-plot design with three replications at Punjab Agricultural University (PAU) Regional Research Station, Bathinda. The validated model was further used to assess the cotton productivity under different sowing dates using medium range weather forecast data on rainfall, maximum temperature and minimum temperature obtained for the period 2013-2021. The results showed that simulated values with medium range weather forecast were in close agreement with the simulated values for phenology and yield of cotton. The simulated cotton yield using daily medium range weather forecast data showed more or less significant efficiency to capture year-to-year as well as datewise variability in simulated cotton yield.
Evaluation of early maturing sugarcane (Saccharum spp. complex) clones for sugar yield and its contributing traits and stability Vikrant Singh, Sudhir Kumar Mishra, Barun Bishwas, Kuldeep Singh Electronic Journal of Plant Breeding, 2024 Sugarcane cultivation is targeted with early varieties having stable higher CCS (commercial cane sugar) yield potential. Therefore, studies were made on 18 traits over three years (2016-19) with seven genotypes at Regional Research Station, PAU, Faridkot. Different multivariate statistical techniques were used for assessing the potential of CCS contributing traits and clonal stability. The observed significant differences due to varieties, years and their interactions were self explaining the role of genotypic differences and weather factors. Cane yield t/ha (CY), CCS t/ha (CCS.T) and their contributing traits were positively loaded on different axes in principal component analyses (PCA). Single cane weight (SCW) was observed to be the primary contributing trait for CY; while brix % and sucrose % for CCS %, and CY for CCS.T were the major contributing traits. CoPb 13181 was observed the most suitable clone for the region. Further, Eberhart & Russell’s model was found more appropriate for judging the genotype(s) to environment specificity while “GGE Biplot” was best to evaluate the environments for their discriminating power to genotypes.
THERMAL UNIT CONSUMPTION OF COTTON UNDER DIFFERENT SOWING CONDITIONS IN SOUTH WESTERN PUNJAB Varinderjit Kaur, Sudhir Kumar Mishra, Kulvir Singh, Raj Kumar Pal Agricultural Research Journal, 2023 To understand the impact of weather variability on phenological development and cotton yield efficiency, a field experiment was conducted during kharif 2015, 2016 and 2017, comprising three sowing dates (April 20, May 10 and May 30) in main plots and four diverse cotton cultivars [two Bt hybrids (NCS 855 BGII and RCH 650 BGII) and two non Bt genotypes (F 2228 and F 1861)] in sub plots of the split plot design with three replications. Results indicated that April sown crop acquired more growing degree days (2548-2664°C day), better heat use efficiency (1.09-1.15 kg ha-1°C day-1), and the pheno-thermal index (15.04-15.95°C) having significantly higher above ground biomass (7308-7985 kg ha-1) as well as seed cotton yield (2887-3054 kg ha-1) as compared to late sowing. Due to earlier completion of phenological duration, the Bt hybrids (NCS 855 BGII and RCH 650 BGII) exhibited superiority in thermal units conversion and economic yield over both non Bt cultivars. Thus, for effective utilization of the available thermal resources and to mitigate the adverse effects of harsh weather conditions on cotton productivity, the sowing of cotton should be done in April month in southwestern Punjab.
Analysis and farmers’ perception of climate change in the Kashmir Valley, India S. Sheraz Mahdi, B. S. Dhekale, Rukhsana Jan, M. Anwar Bhat, Ashaq Hussain, Intikhab Aalum Jehangir, Najeebul Rehman Sofi, Latief Ahmed, Asif M. Iqbal Qureshi, Aziz Mujtaba Aezum, Shabir A. Bangroo, Owais Ali Wani, F. A. Bahar, S. K. Mishra Theoretical and Applied Climatology, 2022
Microclimatic conditions and seed cotton yield as affected by sowing time, row orientation and plant spacing under Bt cotton hybrid Mausam, 2020
Heat unit requirement and yield of wheat (Triticum aestivum L.) varieties under different growing environment in mid hill conditions of Himachal pradesh Journal of Agrometeorology, 2019
Growth, phenology and yield modeling for wheat-fallow cropping system in Gujarat Indian Journal of Agricultural Sciences, 2019
Pre-harvest wheat yield prediction using CERES-wheat model for Ludhiana District, Punjab, India Journal of Agrometeorology, 2018
Evaluation of DSSAT-CANEGRO model for phenology and yield attributes of sugarcane grown in different agroclimatic zones of Punjab, India Journal of Agrometeorology, 2018
Influence of weather variables on incidence and progress of bacterial blight of cotton in south western Punjab Journal of Agrometeorology, 2017
Sugarcane growth and yield simulation under varying planting dates in sub tropical India Journal of Agrometeorology, 2017
Performance of sugarcane genotypes grown under varying weather conditions in south western Punjab Journal of Agrometeorology, 2017
Impact assessment of climate change on groundnut yield of middle Gujarat region Mausam, 2017
Sensitivity analysis of four wheat cultivars to varying photoperiod and temperature at different phenological stages using WOFOST model Journal of Agrometeorology, 2015
Immobilization of Bacillus circulans MTCC 7906 for enhanced production of alkaline protease under batch and packed bed fermentation conditions Internet Journal of Microbiology, 2010
Verification and usability of medium range weather forecast for Anand region Journal of Agrometeorology, 2009
Calibration and validation of WOFOST (v 7.1) crop simulation model for growth and yield of wheat crop under middle Gujarat agroclimatic zone Journal of Agrometeorology, 2009
Development of district-wise cotton yield prediction in Gujarat Journal of Agrometeorology, 2009
RECENT SCHOLAR PUBLICATIONS
Spatiotemporal evolution of temperature extremes across India’s agro-climatic zones (1951–2025) AK Misra, SK Mishra, K Ghosh, A Latwal, M Deo, KG Kanade EarthArXiv , 2026 2026
Subsurface fertigation modifies soil–plant–water interactions to improve productivity of cotton–wheat systems under reduced tillage K Singh, Y Vaddula, SK MISHRA Frontiers in Plant Science 17, 1813404 , 2026 2026
Long-Term Spatio-Temporal Analysis of Rainfall Variability and Trends in Punjab, India (1901-2022): Implications for Agricultural Sustainability SK Mishra¹, N Dhingra Environmental Science Archives 5 (1), 99- 114 , 2026 2026
Spatiotemporal analysis of drought and its teleconnections over agro climatic zones of India S Sah, RN Singh, B Das, SK Mishra, Y Singh, AK Singh, KS Reddy Environmental Earth Sciences 85 (2), 65 , 2026 2026 Citations: 1
Response of wheat cultivers under varied irrigation regimes, temporal adjustments and locations in Punjab S KAUR, KK GILL, N KAUR, SK MISHRA, SS SANDHU Indian Journal of Agronomy 70 (3), 259-268 , 2025 2025 Citations: 1
Global Warming Consequences and Management in Sugarcane PK Kingra, SK Mishra, RK Pal Climate-Smart Sugarcane Cultivation, 33-67 , 2025 2025
New Agronomical Approaches for Sustained Sugarcane Yields K Singh, SK Mishra Climate-Smart Sugarcane Cultivation, 313-339 , 2025 2025
Water footprint of wheat under different irrigation practices at Faridkot, Punjab S Choudhary, SK Mishra, K Singh, RK Pal Journal of Agrometeorology 27 (1), 22-26 , 2025 2025 Citations: 3
High Throughput Phenotyping for Abiotic Stress Management PS Hanjagi Spatial & Agricultural System Modeling for Abiotic Stress Management 4 , 2025 2025
Residue Retention Effects on Productivity of Sugarcane (Plant)–Sugarcane (Ratoon)–Wheat and Rice–Wheat Cropping Systems in North-West India K Singh, SK Mishra, N Gupta, K Singh Sugar Tech 26 (6), 1556-1566 , 2024 2024 Citations: 5
Enhancing crop and water productivity of Bt cotton (Gossypium hirsutum) through drip irrigation and fertigation in semi-arid environments of south-western Punjab S Kaur, SK MISHRA, K Singh, RK Pal, KK Gill, PK Kingra The Indian Journal of Agricultural Sciences 94 (11), 1195-1200 , 2024 2024 Citations: 3
Evaluation of early maturing sugarcane (Saccharum spp. complex) clones for sugar yield and its contributing traits and stability. V Singh, SK Mishra, B Bishwas, K Singh Electronic Journal of Plant Breeding 15 (2), 337 , 2024 2024 Citations: 2
Water Productivity of Sugarcane+ Summer Moong Intercropping System Under Subsurface Drip Irrigation and Straw Mulching K Singh, K Singh, AS Brar, P Sahoo, N Gupta, SK Mishra Sugar Tech 26 (3), 876-893 , 2024 2024 Citations: 3
Predicting the seed cotton yield with value added medium range weather forecast data using CROPGRO-Cotton model at Bhathinda, Punjab RK PAL, PK KINGRA, A KAUR, SK MISHRA, T SINGH, A DHIR Journal of Agrometeorology 26 (1), 99-102 , 2024 2024
Optimizing Sugarcane and Water Productivity Through Surface and Subsurface Drip Fertigation in Subtropical India K Singh, SK Mishra, AS Brar Sugar Tech 26 (1), 63-76 , 2024 2024 Citations: 9
Dynamics of Dry Spells and their Impact on Crop Productivity SK Mishra, S Kaur, MAS Chandran, SK Bal Indian Journal of Dryland Agricultural Research and Development 39 (2spl), 22-32 , 2024 2024 Citations: 1
Impact analysis of moisture stress on growth and yield of cotton using DSSAT-CROPGRO-cotton model under semi-arid climate R Kumar, SK Mishra, K Singh, I Al-Ashkar, MA Iqbal, MN Muzamil, ... PeerJ 11, e16329 , 2023 2023 Citations: 13
Cotton leaf curl virus disease and weather interaction at Faridkot under south western region of Punjab A Kumar, SK Mishra, H KUMAR, S SINGH, S PANDHER PROCEEDINGS OF VIRTUAL NATIONAL CONFERENCE ON STRATEGIC REORIENTATION FOR … , 2023 2023
Reduced tillage and subsurface fertigation improve productivity and economic benefits in the cotton-wheat cropping system K Singh, M Singh, SK Mishra, W Soufan, M Habib-ur-Rahman, ... Frontiers in Sustainable Food Systems 7, 1185805 , 2023 2023 Citations: 10
Fiber Quality of Bt and Non-Bt Cotton Cultivars as Influenced by Different Edapho-Climatic Conditions in South Western Punjab KSANDRAJKPAL VARINDERJIT KAUR, SUDHIR KUMAR MISHRA Journal of Agricultural Physics 23 (1), 62-70 , 2023 2023
MOST CITED SCHOLAR PUBLICATIONS
Simulating response of wheat to timing and depth of irrigation water in drip irrigation system using CERES-Wheat model EA Dar, AS Brar, SK Mishra, KB Singh Field Crops Research 214, 149-163 , 2017 2017 Citations: 83
Sub-soiling improves productivity and economic returns of cotton-wheat cropping system K Singh, OP Choudhary, HP Singh, A Singh, SK Mishra Soil and Tillage Research 189, 131-139 , 2019 2019 Citations: 62
Sensitivity analysis of four wheat cultivars to varying photoperiod and temperature at different phenological stages using WOFOST model SK Mishra, AM Shekh, V Pandey, SB Yadav, HR Patel Journal of Agrometeorology 17 (1), 74 , 2015 2015 Citations: 41
Water footprint assessment of surface and subsurface drip fertigated cotton-wheat cropping system–a case study under semi-arid environments of Indian punjab K Singh, SK Mishra, M Singh, K Singh, AS Brar Journal of Cleaner Production 365, 132735 , 2022 2022 Citations: 36
Evaluation of DSSAT‐CROPGRO‐cotton model to simulate phenology, growth, and seed cotton yield in northwestern India SK Mishra, V Kaur, K Singh Agronomy Journal 113 (2021), 3975-3990 , 2021 2021 Citations: 36
Sub-surface drip fertigation improves seed cotton yield and monetary returns K Singh, P Singh, M Singh, SK Mishra, R Iqbal, I Al-Ashkar, ... Frontiers in Plant Science 13, 1038163 , 2022 2022 Citations: 32
Growth and yield of wheat as influenced by dates of sowing and varieties in north western Himalayas R Pathania, R Prasad, RS Rana, S Mishra, S Sharma Journal of Pharmacognosy and Phytochemistry 7 (6), 517-520 , 2018 2018 Citations: 32
Irrigation module and sowing date affect seed cotton yield, quality, productivity indices, and economics of cotton in north-western India K Singh, HP Singh, SK Mishra Communications in Soil Science and Plant Analysis 51 (7), 919-931 , 2020 2020 Citations: 28
Simulation of growth and yield of four wheat cultivars using WOFOST model under middle Gujarat region SK Mishra, AM Shekh, SB Yadav, A Kumar, GG Patel, V Pandey, HR Patel Journal of Agrometeorology 15 (1), 43-50 , 2013 2013 Citations: 22
Heat unit requirement and yield of wheat (Triticum aestivum L.) varieties under different growing environment in mid hill conditions of Himachal Pradesh R Pathania, R Prasad, RS Rana, SK Mishra Journal of Agrometeorology 21 (3), 282-287 , 2019 2019 Citations: 20
Verification and usability of medium range weather forecast for Anand region MM Lunagaria, SK Mishra, V Pandey Journal of Agrometeorology 11, 228-233 , 2009 2009 Citations: 20
Performance of Bt and non Bt cotton cultivars under different sowing environment of south western Punjab V KAUR, SK MISHRA, K SINGH, KK GILL, RK PAL J. Cotton Res. Dev. 33 (1), 93-98 , 2019 2019 Citations: 18
Impact analysis of moisture stress on growth and yield of cotton using DSSAT-CROPGRO-cotton model under semi-arid climate R Kumar, SK Mishra, K Singh, I Al-Ashkar, MA Iqbal, MN Muzamil, ... PeerJ 11, e16329 , 2023 2023 Citations: 13
Drip fertigation improves seed cotton yield, water productivity and profitability of cotton raised under high density planting system in semi-arid environment K Singh, P Rathore, AS Brar, SK Mishra Emirates Journal of Food and Agriculture 33 (9), 781-793 , 2021 2021 Citations: 13
Impact of meteorological variables and climate change on plant diseases AK Misra, SB Yadav, SK Mishra, MK Tripathi Plant Pathogens, 313-327 , 2020 2020 Citations: 13
Manipulations of source sink relationships through mepiquat chloride for enhancing cotton productivity and monetary returns in north western India K SINGH, HPAL SINGH, P RATHORE, K SINGH, SK MISHRA J. Cotton Res. Dev 31 (1), 62-68 , 2017 2017 Citations: 13
Analysis and farmers’ perception of climate change in the Kashmir Valley, India SS Mahdi, BS Dhekale, R Jan, MA Bhat, A Hussain, IA Jehangir, NR Sofi, ... Theoretical and Applied Climatology 149 (1), 727-741 , 2022 2022 Citations: 12
Improvement in productivity and profitability of sugarcane through drip fertigation in north Indian conditions K Singh, AS Brar, SK Mishra Sugar Tech 23 (3), 536-545 , 2021 2021 Citations: 11
Pre-harvest wheat yield prediction using CERES-wheat model for Ludhiana district, Punjab, India KK Gill, SS Sandhu, SK Mishra Journal of Agrometeorology 20 (4), 319-321 , 2018 2018 Citations: 11
Evaluation of DSSAT-CANEGRO model for phenology and yield attributes of sugarcane grown in different agroclimatic zones of Punjab, India J Singh, SK Mishra, PK Kingra, K Singh, B Biswas, V Singh Journal of Agrometeorology 20 (4), 280-285 , 2018 2018 Citations: 11
