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    旁遮普农业大学

    Punjab Agricultural University
    院校EST. 1962
    1.6万论文总数
    23.2万引用总数

    The Punjab Agricultural University (PAU) is a public funded agricultural university located in Ludhiana district of Punjab.[citation needed] It is a state agricultural university in India. It was established in 1962 and is the nation's third-oldest agricultural university, after Govind Ballabh Pant University of Agriculture & Technology, Pantnagar and Orissa University of Agriculture and Technology, Bhubaneshwar. It was formallyinaugurated by the then Prime Minister of India, Pandit Jawaharlal Nehru, on July 8, 1963. PAU pioneered the Green Revolution in India in the 1960s. It was bifurcated in 2005 with the formation of Guru Angad Dev Veterinary and Animal Sciences University (GADVASU). The Farmers Fair, which have been organised by the PAU since 1967, see the footfall of at least one lakh farmers in two days on PAU campus in Ludhiana, Punjab (bi-annually in March and September). The farmers from not only Punjab, but also from neighboring states such as Haryana, Rajasthan, Himachal Pradesh, etcetera travel to PAU campus to buy high-quality seeds, farm equipment and gain knowledge on new agricultural technologies in the two-day main fair event.

    论文量&引用量时间轴

    机构学者

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    Kalia Anu
    Kalia Anu
    a Electron Microscopy and Nanoscience Laboratory, Punjab Agricultural University
    论文:155引用:0H-index:0
    Parveen Chhuneja
    Parveen Chhuneja
    Department of Plant Breeding, Genetics and Biotechnology, Punjab Agricultural University
    论文:139引用:0H-index:0
    Kuldeep Singh
    Kuldeep Singh
    Punjab Agricultural University
    论文:128引用:0H-index:0
    Sandeep Sharma
    Sandeep Sharma
    PDFSR, Modipuram,Meerut
    论文:108引用:0H-index:0
    Salwinder Singh Dhaliwal
    Salwinder Singh Dhaliwal
    Dept Soil Sci, Punjab Agr Univ
    论文:100引用:0H-index:0
    Savita Sharma
    Savita Sharma
    University of Kentucky
    论文:96引用:0H-index:0
    Satinder Kaur
    Satinder Kaur
    Department of Plant Breeding, Genetics and Biotechnology, Punjab Agricultural University
    论文:92引用:0H-index:0
    Manpreet Kaur
    Manpreet Kaur
    Punjab Agricultural University
    论文:76引用:0H-index:0
    Harcharan Singh Dhaliwal
    Harcharan Singh Dhaliwal
    Punjab Agricultural University
    论文:74引用:0H-index:0

    论文(10000)

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    1Effects of Long-Term Conservation Agriculture on Productivity, Soil Carbon Sequestration and Greenhouse Gas Emissions in Rice-Wheat Systems of the Eastern Indo-Gangetic Plains
    Riju Pratap Singh,Pratik Sanodiya, Udai Pratap Singh, Harshit Aman, Hitesh Gupta, Rushal Dogra

    Conventional rice-wheat systems in the eastern Indo-Gangetic Plains (IGP) are challenged by declining soil health, rising greenhouse gas (GHG) emissions and production costs, underscoring the need for climate-smart management. Therefore, this study evaluated the long-term effects of conservation agriculture (CA) on productivity, soil organic carbon (SOC), carbon sequestration, GHG emissions and profitability in a rice-wheat cropping system. A field experiment established in 2015 was assessed during 2023-2024 season using six crop establishment methods ranging from conventional (CE1 and CE2) to partial (CE3 and CE4) and full CA (CE5 and CE6) with residue retention and mungbean incorporation. CE6 increased rice and wheat yield by 34.6% and 17.9%, respectively, compared with CE1. SOC increased by 34%, resulting in higher carbon stock (23.36 t C ha−1) and net CO2 sequestration (18.40 t CO2e ha−1) under CE6. Simulation studies indicated a 29.5% reduction in seasonal GHG emissions and an improved SOC dynamic under CE6 compared with CE1, highlighting efficient carbon balance under long-term residue retention and reduced soil disturbance. Economic analysis showed that CE6 reduced cultivation costs and increased net returns by 61%, resulting in the higher benefit-cost ratio (1.89). Overall, long-term CA, enhanced productivity, improved SOC, carbon sequestration and reduced GHG emissions. These results support CA as a viable strategy for sustainable intensification in rice-based systems of the eastern IGP.

    2027Biomass and Bioenergy(2027)
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    2Compost Amendment Rates Modulate Soil Carbon Mineralization, Nutrient Dynamics, and Microbial–Enzymatic Interactions
    Radhika Sharma, Neemisha Pathania

    This study examined carbon mineralization, microbial and enzyme activity in soils amended with composts over 18-week incubation. Carbon mineralization followed three phases: initial, intermediate, and stabilization, with T6 (poultry manure compost @ 5 t ha− 1) and T4 (cow dung compost @ 5 t ha− 1) exhibiting the highest carbon mineralization rates, reaching 308.6 and 281.7 mg CO2-C kg− 1. Microbial Biomass Carbon (MBC), Microbial Biomass Nitrogen (MBN), Dehydrogenase activity (DHA), and Basal Soil Respiration (BSR) were strongly correlated and T6 recorded the highest MBC (486.6 ± 1.95 mg kg− 1) and MBN (18.8 ± 0.27 mg kg− 1), with highest bacterial and actinomycetes counts (50.24 × 107 CFU/g and 56.67 × 105 CFU/g). Fungal counts were highest in T2 (42.74 × 103 CFU/g). Nutrient analysis revealed that T6 had the highest mineral N (131.5 mg kg− 1), and T4 showed the highest available P (15.9 mg kg− 1) and available K (115.7 mg kg− 1). The strong positive correlations between MBN, alkaline phosphatase activity, and Cumulative (cm) indicate their interconnectedness in nutrient cycling. Partial Least Squares Regression (PLSR) identified MBC, mineral N, and enzymes as key predictors for Cumulative cm, with MBC having the highest importance score (1.2) followed by mineral N and available K. Among the different treatments, for predicting cumulative cm T6 followed by T4, T10 and T8 were found to best. This study emphasizes the critical role of organic amendments in enhancing microbial activity, sustaining long-term carbon cycling, and improving soil fertility for sustainable soil management.

    2026Waste and Biomass Valorization(2026)引用:87
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    3Decoding Seasonal Irrigation Suitability of Drain Water Using Integrated Indexical, Statistical, Graphical and Machine Learning Approaches.
    Kusum Garhwal,Gobinder Singh,Owais Ali Wani,Sumita Chandel,Vicky Singh, Yogesh Khokhar

    Rapid urbanization and industrialization have exacerbated freshwater scarcity while simultaneously increasing wastewater generation, making the safe and judicious reuse of wastewater a viable strategy to address both challenges. The present study aimed to evaluate the seasonal irrigation suitability of the Kala Sanghian drain using integrated (graphical, indexical, statistical and machine learning) approaches. Drain water samples from two seasons (pre- and post-monsoon) were collected and analysed for physico-chemical parameters and heavy metals, and irrigation suitability was evaluated using different indices and machine learning models. The results revealed a notable improvement in the physico-chemical quality of drain water during the post-monsoon season, enhancing its suitability for irrigation. Among the heavy metals analysed, 84.4

    2026Environmental Geochemistry and Health(2026)引用:78
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    4Spatio-temporal Variability of Monsoonal Rainfall over Punjab, India: a Remote Sensing–based Assessment
    Mohit Arora,Harleen Kaur, Pravin Dahiphale,Brijendra Pateriya

    The southwest monsoon (June–September) provides the majority of annual rainfall to Punjab state, India, yet exhibits substantial spatial and temporal variability, with significant implications for agriculture, water resource management, and food security in this intensively cultivated region. This study conducts a comprehensive assessment of monsoonal rainfall characteristics across Punjab from 2000 to 2024, utilizing high-resolution daily precipitation estimates from the Global Precipitation Measurement (GPM) mission, which integrates dual-frequency precipitation radar (Ku/Ka-band) observations with multi-channel passive microwave measurements from the GPM Microwave Imager for enhanced accuracy and near-real-time capability. The objectives of the study are: to quantify the interannual variability of total monsoonal rainfall, documenting a range of 430 ± 11 mm to 1,013 ± 25 mm with a 25-year mean of 744.7 ± 17 mm; to detect and evaluate long-term trends in seasonal rainfall totals, revealing a statistically significant increasing trend of 1.69 mm per year in total monsoon –season rainfall over the 2000 to 2024 period; to characterize the spatial distribution patterns, identifying consistently higher precipitation in the northern and northeastern zones contrasted with lower amounts in the southern and southwestern areas; and to elucidate the broader implications of these historical dynamics for regional drought risk assessment, sustainable water management, agricultural planning, and anticipation of future climate change impacts on monsoon behavior. The results highlight pronounced unevenness in rainfall distribution and a modest but detectable positive trend, underscoring the value of satellite-derived datasets for monitoring regional hydroclimatic changes in data-sparse or agriculturally critical areas. These findings provide a robust baseline for improved climate adaptation strategies in Punjab, where monsoon reliability directly influences socioeconomic stability.

    2026Theoretical and Applied Climatology(2026)引用:72
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    5Xanthan Gum–Ascorbic Acid Composite Coatings Preserve Postharvest Quality of Pear Through Modulation of Cell Wall Disintegration During Storage
    Manpreet Kaur, Navjot Gupta,Diksha Dhiman,Sukhjit Kaur Jawandha,Parmpal Singh Gill, Shruti

    Rapid postharvest deterioration in climacteric fruits such as pears necessitates antioxidant-enriched edible coatings to retard senescence and preserve quality. This study investigates the efficacy of a composite edible coating composed of 0.5

    2026Applied Fruit Science(2026)引用:68
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    合作机构(100)

    Indian Council of Agricultural Research合作论文 231
    印度农业研究学院合作论文 219
    旁遮普大学合作论文 209
    庆北国立大学合作论文 132
    查理大学合作论文 131
    奥地利科学院合作论文 125
    塔塔基础研究学院合作论文 125
    印度理工学院马德拉斯分校合作论文 122
    朝鲜大学校合作论文 120
    韦恩州立大学合作论文 118

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