Special Issues
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Integrated Nutrient Management in Cereal Crops

Submission Deadline: 30 November 2025 (closed) View: 2439 Submit to Special Issue

Guest Editors

Prof. Dr. Vishnu D. Rajput

Email: rajput.vishnu@gmail.com

Affiliation: Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don 344090, Russia

Homepage:

Research Interests: soil pollution; biochar; carbon; plant physiology; cellular-subcellular changes; DNA damages, nanoparticles; microorganisms

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Summary

The special issue "Integrated Nutrient Management in Cereal Crops" aims to advance research and application in the integrated nutrient management of major cereal crops such as wheat, corn, and rice, covering the following key areas:

1. Fertilizer Management Innovations: Exploration of novel fertilizers and their impact on enhancing crop yield and quality;

2. Fertilization Techniques: Investigation of various fertilization methods, such as precision fertilization and minimizing fertilizer losses, to optimize nutrient management;

3. Soil Health Assessment: Analysis of the impact of soil health on food production and strategies to enhance soil quality through integrated management practices;

4. Nutrient Cycling: Focus on the dynamic changes in nutrient elements and their cyclical use throughout the crop lifecycle;

5. Sustainable Agricultural Practices: Promotion of the integration of nutrient management with ecological farming principles, fostering a sustainable development approach to food security and environmental protection.


This special issue aims to facilitate collaboration and knowledge exchange among researchers and practitioners, contributing to the global goals of food security and sustainable development.


Keywords

integrated nutrient management, cereal crops, fertilization strategies, soil health, ecological agriculture

Published Papers


  • Open Access

    ARTICLE

    Differential Responses of Common Bean (Phaseolus vulgaris) Cultivars to Exogenous Indole-3-Butyric Acid Application

    Gülay Zulkadir
    Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2117-2129, 2025, DOI:10.32604/phyton.2025.066762
    (This article belongs to the Special Issue: Integrated Nutrient Management in Cereal Crops)
    Abstract Bean (Phaseolus vulgaris) is a globally important legume crop valued for its nutritional content and adaptability. Establishing a robust root system during early growth is critical for optimal nutrient uptake, shoot development, and increased resistance to biotic stress. This study evaluated the effects of exogenous indole-3-butyric acid (IBA) on root and shoot development in two bean cultivars, Onceler-98 and Topcu, during the seedling stage. IBA was applied at four concentrations: 0 (control), 50, 100, and 150 μM. Morphological parameters measured included root length (RL), root fresh weight (RFW), root dry weight (RDW), root nodule number (RNN), More >

  • Open Access

    ARTICLE

    Integrating Morphological and Digital Traits to Optimize Nitrogen Use Efficiency in Maize Hybrids

    Shamim Ara Bagum, Mahbub Ul Islam, M Shalim Uddin, Sripati Sikder, Ahmed Gaber, Akbar Hossain
    Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1897-1919, 2025, DOI:10.32604/phyton.2025.065607
    (This article belongs to the Special Issue: Integrated Nutrient Management in Cereal Crops)
    Abstract The yield of maize (Zea mays L.) is highly influenced by nitrogen fertilization. This study investigated the impact of nitrogen fertilization on morphophysiological traits in maize (Zea mays L.) and developed algorithms to relate manual phenotyping and digital phenotyping of maize with leaf nitrogen and digital field image traits. The experiment included three hybrid maize varieties, V1 (Hybrid 981), V2 (BARI Hybrid maize-9), and V3 (Hybrid P3396), which were evaluated across three nitrogen levels (N1 = 100 kg N ha−1, N2 = 200 kg N ha−1, N3 = 300 kg N ha−1) in a split-plot design with three replications.… More >

  • Open Access

    REVIEW

    Systematic Review of Machine Learning Applications in Sustainable Agriculture: Insights on Soil Health and Crop Improvement

    Vicky Anand, Priyadarshani Rajput, Tatiana Minkina, Saglara Mandzhieva, Santosh Kumar, Avnish Chauhan, Vishnu D. Rajput
    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1339-1365, 2025, DOI:10.32604/phyton.2025.063927
    (This article belongs to the Special Issue: Integrated Nutrient Management in Cereal Crops)
    Abstract The digital revolution in agriculture has introduced data-driven decision-making, where artificial intelligence, especially machine learning (ML), helps analyze large and varied data sources to improve soil quality and crop growth indices. Thus, a thorough evaluation of scientific publications from 2007 to 2024 was conducted via the Scopus and Web of Science databases with the PRISMA guidelines to determine the realistic role of ML in soil health and crop improvement under the SDGs. In addition, the present review focused to identify and analyze the trends, challenges, and opportunities associated with the successful implementation of ML in… More >

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