Showing 381 - 400 results of 424 for search '"crop yields"', query time: 0.07s Refine Results
  1. 381

    Optimum Nitrogen and Density Allocation for Trade−Off Between Yield and Lodging Resistance of Winter Wheat by Haitao Liu, Shufang Sun, Min Jin, Chunhui Li, Jiayu Wang, Haixing Cui, Yong Li, Zhenlin Wang

    Published 2025-01-01
    “…Increasing nitrogen and planting density can enhance crop yield, but it can reduce lodging resistance due to decreased lignin content. …”
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    Article
  2. 382

    A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

    Published 2023-09-01
    “…The proposed framework could be beneficial to the oasis agricultural community in terms of early detection of date palm white scale disease (DPWSD) and assisting in the adoption of preventive measures to protect both date palm trees and crop yield.…”
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    Article
  3. 383

    Dynamics of water-carbon fluxes and water use efficiency in jujube orchards in arid regions by QIAO Ying, WANG Huanbo, CHEN Yunfei, KUERBAN ·Aili, ZHANG Penghua

    Published 2025-01-01
    “…[Objective] Understanding the dynamics of water and carbon fluxes, as well as water use efficiency (WUE) in ecosystems is crucial for optimizing crop yield and improving resource management. This paper experimentally investigated the seasonal dynamics of these processes in jujube orchards located in arid regions in Northwestern China. …”
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  4. 384

    Revealing the diversity of Fusarium micromycetes in agroecosystems of the North Caucasus plains for replenishing the State Collection of Phytopathogenic Microorganisms of the All-R... by N. S. Zhemchuzhina, M. I. Kiseleva, T. M. Kolomiets, I. B. Ablova, A. P. Glinushkin, S. A. Elizarova

    Published 2022-01-01
    “…In order to prevent crop yield losses from the most dangerous and economically important pathogenic organisms, it is necessary not only to monitor the virulence gene pool, but also to study the nature of pathogen variability and determine the potential for the emergence of new genes and races. …”
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    Article
  5. 385

    IMPACT OF NANO-CONVENTIONAL NPK FOLIAR APPLICATION AND ROW DISTANCE ON SOME GROWTH AND CHEMICAL TRAITS OF SUNFLOWER (HELIANTHUS ANNUUS L.) by J. J. Hashim, S. A. Kakarash

    Published 2024-12-01
    “…To enhance sunflower plant growth and maximize crop yield, companies and farmers commonly utilize fertilizers containing nitrogen, phosphorus, and potassium. …”
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    Article
  6. 386

    Amelioration of the growth and physiological responses of Capsicum annum L. via quantum dot-graphene oxide, cerium oxide, and titanium oxide nanoparticles foliar application under... by Mohammad Bagher Hassanpouraghdam, Lamia Vojodi Mehrabani, Leila Khoshmaram, Farzad Rasouli

    Published 2025-01-01
    “…Ameliorating salt tolerance through nanotechnology is an efficient and reliable methodology for enhancing agricultural crops yield and quality. Nanoparticles enhance plant tolerance to salinity stress by facilitating reactive oxygen species detoxification and by reducing the ionic and osmotic stress effects on plants. …”
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    Article
  7. 387

    Transcriptomic reprogramming and epigenetic regulation underlying pollination-dependent and auxin-induced fruit set in tomato by Xiaohan Li, Xiaohan Li, Xiaohan Li, Bing He, Anis Djari, Pierre Frasse, Elie Maza, Farid Regad, Julien Pirrello, Guojian Hu, Guojian Hu, Guojian Hu, Guojian Hu, Mondher Bouzayen

    Published 2025-02-01
    “…The transition from flower to fruit, naturally triggered by flower pollination and known as fruit set, is instrumental for plant reproduction, seed formation, and crop yield. Notably, this developmental process can also proceed in the absence of flower fertilization, although it remains unclear whether pollination-dependent and pollination-independent fruit sets undergo similar transcriptomic reprogramming. …”
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    Article
  8. 388

    Explore the evolution of winter wheat production and its response to climate change under varying precipitation years in the Loess Plateau of China by Donglin Wang, Yanbin Li, Binbin Zhang, Tengcong Jiang, Siyu Wu, Wenjie Wu, Yi Li, Jianqiang He, Deli Liu, Qinge Dong, Hao Feng

    Published 2025-03-01
    “…To clarify the transformation process of precipitation and the mechanism how it change the crop yield, particularly in the Loess Plateau where precipitation frequently alternates between dry and wet years, this study used the down-scaling global climate model (GCMs) data to simulate and predict the change trend of winter wheat yield from 1961 to 2100 under varying precipitation conditions in two future climate scenarios (SSP245 and SSP585), employing the APSIM model. …”
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  9. 389

    Iterative optimization annotation pipeline and ALSS-YOLO-Seg for efficient banana plantation segmentation in UAV imagery by Ang He, Ang He, Ximei Wu, Ximei Wu, Xing Xu, Xing Xu, Jing Chen, Jing Chen, Xiaobin Guo, Xiaobin Guo, Sheng Xu, Sheng Xu

    Published 2025-01-01
    “…Precise segmentation of unmanned aerial vehicle (UAV)-captured images plays a vital role in tasks such as crop yield estimation and plant health assessment in banana plantations. …”
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    Article
  10. 390

    Have crops already reached peak suitability: assessing global climatic suitability decreases for crop cultivation by Vhiny-Guilley Mombo, Mathilde Duvallet, Michiel Schaeffer, Florent Baarsch

    Published 2025-01-01
    “…Crop yield and the availability of arable land are impacted by climate change, leading to effects on global patterns of production and trading. …”
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    Article
  11. 391

    Influence of No-Tillage on Soil Organic Carbon, Total Soil Nitrogen, and Winter Wheat (Triticum aestivum L.) Grain Yield by Peter Omara, Lawrence Aula, Elizabeth M. Eickhoff, Jagmandeep S. Dhillon, Tyler Lynch, Gwendolyn B. Wehmeyer, William Raun

    Published 2019-01-01
    “…No-tillage (NT) can improve soil properties and crop yield. However, there are contrasting reports on its benefits compared to conventional tillage (CT). …”
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  12. 392

    Search of Reflectance Indices for Estimating Photosynthetic Activity of Wheat Plants Under Drought Stress by Firuz Abdullaev, Daria Churikova, Polina Pirogova, Maxim Lysov, Vladimir Vodeneev, Oksana Sherstneva

    Published 2024-12-01
    “…Photosynthetic activity is one of the key physiological parameters related to future crop yield. The present study focuses on the search for reflectance parameters for rapid screening of wheat genotypes with respect to photosynthetic activity under drought conditions. …”
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  13. 393

    Shade signals activate distinct molecular mechanisms that induce dormancy and inhibit flowering in vegetative axillary buds of sorghum by Tesfamichael H. Kebrom

    Published 2024-08-01
    “…Abstract Shoot branches grow from axillary buds and play a crucial role in shaping shoot architecture and determining crop yield. Shade signals inactivate phytochrome B (phyB) and induce bud dormancy, thereby inhibiting shoot branching. …”
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    Article
  14. 394

    Detection of Soybean Pod Formation Stage Using Sentinel-1 SAR Data by Sakshi Jain, Unmesh Khati, Vineet Kumar, Rakesh Kumar Verma

    Published 2025-01-01
    “…Soybean pod formation and its variability during the crop cycle has direct impact on the final crop yield. Observation using optical data could not be a better alternative for a crop like soybean, which is grown in summer monsoon in India in the Kharif season (crop grown mid June to end September). …”
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  15. 395

    Modeling and Analysis of Rice Root Water Uptake under the Dual Stresses of Drought and Waterlogging by Jie Huang, Wei Dong, Luguang Liu, Tiesong Hu, Shaobin Pan, Xiaowei Yang, Jianan Qin

    Published 2024-03-01
    “…The development of an accurate root water-uptake model is pivotal for evaluating crop evapotranspiration; understanding the combined effect of drought and waterlogging stresses; and optimizing water use efficiency, namely, crop yield [kg/ha] per unit of ET [mm]. Existing models often lack quantitative approaches to depicting crop root water uptake in scenarios of concurrent drought and waterlogging moisture stresses. …”
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  16. 396

    Enhancing cotton irrigation with distributional actor–critic reinforcement learning by Yi Chen, Meiwei Lin, Zhuo Yu, Weihong Sun, Weiguo Fu, Liang He

    Published 2025-02-01
    “…Accurate predictions of irrigation’s impact on crop yield are crucial for effective decision-making. …”
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    Article
  17. 397

    The Growth and Yield of Shallots and Melons Based on the Interseasonal Windbreaks Cropping System in Anticipation of Climate Change by Saparso, Sudarmaji Arief, Bachtiar Musthafa Muhammad, Tamad

    Published 2025-01-01
    “…The variables observed in the plant yield components were fresh weight of tubers, fresh weight of fruits, and crop yield. There is an interaction between the seasonal factor and the type of plant on the variables of fresh weight of tubers. …”
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    Article
  18. 398

    Analysis of the MYB gene family in tartary buckwheat and functional investigation of FtPinG0005108900.01 in response to drought by Jinbo Li, Xin Yang, Bianling Tian, Tian Tian, Yu Meng, Fei Liu

    Published 2025-01-01
    “…Drought annually brings reduction in crop yield and quality, causing enormous economic losses. …”
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    Article
  19. 399

    Pre-sowing treatment of vetch hairy seeds, viсia villosa using ultraviolet irradiation by A. Semenov, T. Sakhno, O. Hordieieva, Y. Sakhno

    Published 2021-10-01
    “…BACKGROUND AND OBJECTIVES: Aiming to increase crop yield the antimicrobial/bacterial or fungicidal pre-sowing seed treatment received more attention in modern agronomy. …”
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  20. 400

    Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis by Mikhail V. Kozhekin, Mikhail A. Genaev, Evgenii G. Komyshev, Zakhar A. Zavyalov, Dmitry A. Afonnikov

    Published 2025-01-01
    “…The accurate identification of plants in field images provides estimates of plant number per unit area, detects missing seedlings, and predicts crop yield. Current methods are based on the detection of plants in images obtained from UAVs by means of computer vision algorithms and deep learning neural networks. …”
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    Article