Showing 321 - 340 results of 424 for search '"crop yields"', query time: 0.07s Refine Results
  1. 321

    Fertility Status of Soil in the Tea Garden Belts of Golaghat District, Assam, India by Bhupen K. Baruah, Bhanita Das, Chitrani Medhi, Abani K. Misra

    Published 2013-01-01
    “…The need of the hour is to achieve substantially higher crop yield than the present yield levels from our limited land resources on a sustainable basis. …”
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    Article
  2. 322

    Differential Sensitivity of Nitrogen-Fixing, <i>Azolla Microphylla</i> to Organochlorine and Organophosphate Insecticide by W Raja, P Rathaur, R Ashiq

    Published 2013-07-01
    “…Application of pesticides in the paddy fields has deleterious effects on non-target organisms including Azolla which are photosynthesizing and nitrogen fixing micro-organisms contributing significantly towards soil fertility and crop yield. Pesticide contamination in the paddy fields has manifested into a serious global environmental concern. …”
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  3. 323

    Overexpression of Bacterial mtlD Gene in Peanut Improves Drought Tolerance through Accumulation of Mannitol by Tengale Dipak Bhauso, Thankappan Radhakrishnan, Abhay Kumar, Gyan Prakash Mishra, Jentilal Ramjibhai Dobaria, Kirankumar Patel, Manchikatla Venkat Rajam

    Published 2014-01-01
    “…In the changing global environmental scenarios, water scarcity and recurrent drought impose huge reductions to the peanut (Arachis hypogaea L.) crop yield. In plants, osmotic adjustments associated with efficient free radical scavenging ability during abiotic stress are important components of stress tolerance mechanisms. …”
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  4. 324

    Development and performance evaluation of a precision seeder for sustainable rice cultivation by Prabhat Kumar Guru, Atul Kumar Shrivastava, Suryakanta Khandai, Rabe Yahaya, Sudhanshu Singh, Virender Kumar, Priyanka Tiwari, Manoj Kumar

    Published 2025-03-01
    “…The seeder achieved a 25 % reduction in operational costs per hectare and an average 7.7 % increase in crop yield compared to manual drum seeding. These findings demonstrate the potential of the precision hill paddy seeder to transform rice cultivation by addressing labor and resource constraints while improving yield and operational efficiency.…”
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    Article
  5. 325

    Subtilases: a major prospect to the genome editing in horticultural crops by Umashankar Chandrasekaran, Umashankar Chandrasekaran, Woo Jong Hong, Hyeran Kim, Hyeran Kim

    Published 2025-01-01
    “…Over the past five years, research on proteolytic enzymes, especially SBTs, has increased markedly, yet reports involving loss- or gain-of function analyses aimed at improving crop yield and quality are still limited. This review summarizes recent findings on SBT enzymes, which act as ‘protein scissors’ in activating peptide hormones, and discusses the potential for using selected SBTs in CRISPR-Cas9 gene editing to enhance the growth and resilience of economically important Solanaceae crops, with a focus on pepper.…”
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  6. 326

    Priming bumble bees with caffeine, odour of the target crop, and a food reward, has minimal effects on fruit crop pollination and yield in a semi-commercial setup by Sarah Arnold, Celine Silva, Jan-Hendrik Dudenhöffer, David Hall, Dudley Farman, Felix Wäckers, Philip Stevenson, Michelle Fountain

    Published 2025-02-01
    “…Some small effects of caffeine priming were observed (a slight increase in the proportion of visits to the target flowers in one trial), but after controlling for polytunnel identity, the priming treatment did not influence crop yield and quality. While caffeine priming of commercial bumblebee colonies may have potential to improve pollination in crops, further research is needed to optimise the system for in-field use. …”
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    Article
  7. 327

    Development of CNN-Based Semantic Segmentation Algorithm for Crop Classification of Korean Major Upland Crops Using NIA AI HUB by Dong-Wook Kim, Gyujin Jang, Hak-Jin Kim

    Published 2025-01-01
    “…These findings demonstrate the model&#x2019;s potential to improve crop yield prediction, optimize resource allocation, and support sustainable farming practices in diverse agricultural environments.…”
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    Article
  8. 328

    Analyzing crop production: Unraveling the impact of pests and pesticides through a fractional model by Navnit Jha, Akash Yadav, Ritesh Pandey, A.K. Misra

    Published 2024-07-01
    “…In this research work, we formulate a nonlinear mathematical model using the Caputo fractional (CF) operator to investigate the effects of pesticides on crop yield dynamics. We assume that pesticides are sprayed proportional to the density of pest density and pests not entirely reliant on crops. …”
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  9. 329

    Climate extreme indices and its implication on crop production: The case of Mana district, Jimma Zone, Southwest Ethiopia by Biyeshi Ayansa Abdissa, Dessalegn Obsi Gemeda

    Published 2025-02-01
    “…Further studies should be conducted using climate data from multiple stations to measure the impacts of climate extremes on crop yield, which can give a tangible evidence for policymakers to design climate change adaptation and mitigation strategies.…”
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  10. 330

    Optimizing drip irrigation to enhance winter wheat performance: yield, economic benefits, and water use efficiency by Yanhui Wang, Haowei Sun, Li Wang

    Published 2024-12-01
    “…Drip irrigation is beneficial for improving crop yield and water use efficiency (WUE); however, it is rarely used for winter wheat production in semi-humid and drought-prone areas. …”
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    Article
  11. 331

    Biofertilization increases soil organic carbon concentrations: results of a meta-analysis by Berta Singla Just, Evan Alexander Netherton Marks, Laura Roquer-Beni, Laia Llenas, Sergio Ponsà, Rosa Vilaplana

    Published 2024-12-01
    “…A significant positive linear relationship was observed between crop yield and SOC changes, supporting the notion that greater productivity helps explain SOC increases, accounting for 7% of the dataset variability. …”
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  12. 332

    A Channel Attention-Driven Optimized CNN for Efficient Early Detection of Plant Diseases in Resource Constrained Environment by Sana Parez, Naqqash Dilshad, Jong Weon Lee

    Published 2025-01-01
    “…Agriculture is a cornerstone of economic prosperity, but plant diseases can severely impact crop yield and quality. Identifying these diseases accurately is often difficult due to limited expert availability and ambiguous information. …”
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  13. 333

    Toxicity of acaricides to kanzawa spider mite Tetranychus kanzawai Kishida (Acari: Tetranychidae) by Jerzon G. Villacencio

    Published 2024-11-01
    “…Considering cassava's importance as a vital root crop, educating farmers on the responsible use of these acaricides is vital for the effective management of T. kanzawai , thereby ensuring cassava crop yield preservation and food security. These efforts can contribute to the development of targeted and sustainable pest management strategies for T. kanzawai in cassava cultivation.…”
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  14. 334

    Biochemical Characterization of Partially Stabilized Parthenium hysterophorus L. and Cow Dung Consortium and Its Effect on the Growth Performance of Maize (Zea mays L.) by Shetie Gatew, Andargachew Mengistu

    Published 2022-01-01
    “…It usually competes very well and reduces crop yield. Up-rooting and herbicides have long been used as management options for weeds. …”
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    Article
  15. 335

    Land Use/Land Cover Change and Its Driving Forces in Shenkolla Watershed, South Central Ethiopia by Belayneh Bufebo, Eyasu Elias

    Published 2021-01-01
    “…Environmental implications such as climate change, biodiversity loss, scarcity of basic forest products, habitat alteration, decline in quality and availability of water, and crop yield reduction are the consequences of the LU/LC change. …”
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    Article
  16. 336

    Prospective of climate change impact on water resources and sugar beet yield in the Urmia Lake basin by Somayeh Naderi, Bohloul Alijani, Zahra Hedjazizadeh, Hasan Heidari, Karim Abbaspour

    Published 2024-06-01
    “…Afterward, the output was calibrated (1989-2004) and validated (2005-2014) in the SWAT-CUP software using the SUFI2 algorithm to simulate streamflow of 23 gauging stations and crop yield. The Nash-Sutcliffe efficiency was 0.43 and 0.53 for calibration and validation periods, sequentially. …”
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  17. 337

    Employing plant growth-promoting rhizobacteria for abiotic stress mitigation in plants: with a focus on drought stress by Sourav Chattaraj, Aurodeepa Samantaray, Arindam Ganguly, Hrudayanath Thatoi

    Published 2025-01-01
    “…Abstract Abiotic stresses, particularly drought, pose a significant threat to global agriculture and affect crop yield and quality. Plant Growth-Promoting Rhizobacteria (PGPR) have emerged as a promising solution for mitigating these stresses and enhancing plant resilience. …”
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  18. 338

    Effects of rubber leaf litter vermicompost on earthworm population and yield of pineapple (Ananas comosus) in West Tripura, India by P. S. Chaudhuri, T. K. Paul, Animesh Dey, M. Datta, S. K. Dey

    Published 2024-01-01
    “…Conclusion The present study reveals that crop yield is very much related to the particular concentration of vermicompost, beyond the level of which production declines and increase in vegetative growth, fruit weight and fruiting percentage of pineapple are strongly linked with the soil pH, av. …”
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    Article
  19. 339

    Dual stress, equivalent harm? hypothesizing on the type of interactions between waterlogging and high temperature by Rocío A. Ploschuk, Roxana Savin, Gustavo A. Slafer, Gustavo A. Slafer

    Published 2025-01-01
    “…Notably, while the primary concern of virtually all studies was the impact on crop yield, most of them focused exclusively on leaf-level traits, whose responses did not correlate well with yield responses. …”
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  20. 340

    Development of a Guidance System for an Agricultural Wheeled Robotic Platform in Row Crop Fields by Hossein Behfar, Fahime Hashemi, Arezu Nobakht

    Published 2024-06-01
    “…Smart and precision agriculture seeks to boost the efficiency of operations and crop yield by using modern technology. Modern tools such as sensors, imagery cameras, and deep learning enable farmers to identify and control weeds, pests, and diseases in real-time. …”
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    Article