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  • Open Access

    ARTICLE

    A Convolutional Neural Network Model for Wheat Crop Disease Prediction

    Mahmood Ashraf1,*, Mohammad Abrar2, Nauman Qadeer3, Abdulrahman A. Alshdadi4, Thabit Sabbah5, Muhammad Attique Khan6

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3867-3882, 2023, DOI:10.32604/cmc.2023.035498

    Abstract Wheat is the most important cereal crop, and its low production incurs import pressure on the economy. It fulfills a significant portion of the daily energy requirements of the human body. The wheat disease is one of the major factors that result in low production and negatively affects the national economy. Thus, timely detection of wheat diseases is necessary for improving production. The CNN-based architectures showed tremendous achievement in the image-based classification and prediction of crop diseases. However, these models are computationally expensive and need a large amount of training data. In this research, a light weighted modified CNN architecture… More >

  • Open Access

    REVIEW

    The Genetic and Biochemical Mechanisms Underlying Cereal Seed Dormancy

    Sasa Jing1, Yuan Tian1, Heng Zhang2, John T. Hancock3, Ying Zhu2,*, Ping Li1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1203-1214, 2023, DOI:10.32604/phyton.2023.026305

    Abstract The crop seeds have been a staple food for humans, and seed yield is important for sustaining agriculture development and enhancing human adaptability to food risks. The phenomenon of pre-harvest sprouting (PHS), caused by seed dormancy deficiency, and the phenomenon of low seedling emergence caused by seed deep dormancy, will lead to a reduction in agricultural production. Therefore, it is particularly important to understand the regulation mechanisms of seed dormancy. There are many studies on the regulation of seed dormancy in rice, but there are few studies on the regulation of seed dormancy in other crops, and the research on… More >

  • Open Access

    ARTICLE

    Improving Quantitative and Qualitative Characteristics of Wheat (Triticum aestivum L.) through Nitrogen Application under Semiarid Conditions

    Muhammad Rafiq1, Muhammad Saqib1,*, Husnain Jawad1, Talha Javed2, Sadam Hussain3,*, Muhammad Arif1, Baber Ali4, Muhammad Sultan Ali Bazmi5, Ghulam Abbas1, Marjan Aziz6, Mohammad Khalid Al-Sadoon7, Aneela Gulnaz8, Sobhi F. Lamlom9, Muhammad Azeem Sabir10, Jameel Akhtar6

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1001-1017, 2023, DOI:10.32604/phyton.2023.025781

    Abstract

    Nitrogen (N), the building block of plant proteins and enzymes, is an essential macronutrient for plant functions. A field experiment was conducted to investigate the impact of different N application rates (28, 57, 85, 114, 142, 171, and 200 kg ha−1) on the performance of spring wheat (cv. Ujala-2016) during the 2017–2018 and 2018–2019 growing seasons. A control without N application was kept for comparison. Two years mean data showed optimum seed yield (5,461.3 kg ha−1) for N-application at 142 kg ha−1 whereas application of lower and higher rates of N did not result in significant and economically higher seed… More >

  • Open Access

    ARTICLE

    Smart Techniques for LULC Micro Class Classification Using Landsat8 Imagery

    Mutiullah Jamil1, Hafeez ul Rehman1, SaleemUllah1, Imran Ashraf2,*, Saqib Ubaid1

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5545-5557, 2023, DOI:10.32604/cmc.2023.033449

    Abstract Wheat species play important role in the price of products and wheat production estimation. There are several mathematical models used for the estimation of the wheat crop but these models are implemented without considering the wheat species which is an important independent variable. The task of wheat species identification is challenging both for human experts as well as for computer vision-based solutions. With the use of satellite remote sensing, it is possible to identify and monitor wheat species on a large scale at any stage of the crop life cycle. In this work, nine popular wheat species are identified by… More >

  • Open Access

    ARTICLE

    Salt Stress Affects the Growth and Yield of Wheat (Triticum aestivum L.) by Altering the Antioxidant Machinery and Expression of Hormones and Stress-Specific Genes

    Shahid Hussain1, Rui Zhang1, Shuli Liu1, Yang Wang1, Irshad Ahmad2, Yinglong Chen1, Hongyan Hou3, Qigen Dai1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 861-881, 2023, DOI:10.32604/phyton.2023.025487

    Abstract

    Understanding physiological responses in saline agriculture may facilitate wheat breeding programs. Based on a screening test, the Ningmai-14 (NM-14) and Yangmai-23 (YM-23) wheat cultivars were selected for further experiments to understand the underlying salinity tolerance mechanism. This study investigated the effects of five salinity levels such as Control (CK) = 0 (without NaCl stress), S1 = 0.20%, S2 = 0.25%, S3 = 0.30% and S4 = 0.35% of NaCl concentrations of soil on wheat plants. The results showed that increased salinity concentration reduced the growth and yield of wheat cultivars (NM-14 and YM-23). However, YM-23 (12.7%) yielded more than NM-14… More >

  • Open Access

    ARTICLE

    Differentiation of Wheat Diseases and Pests Based on Hyperspectral Imaging Technology with a Few Specific Bands

    Lin Yuan1, Jingcheng Zhang2,*, Quan Deng2, Yingying Dong3, Haolin Wang2, Xiankun Du2

    Phyton-International Journal of Experimental Botany, Vol.92, No.2, pp. 611-628, 2023, DOI:10.32604/phyton.2022.023662

    Abstract Hyperspectral imaging technique is known as a promising non-destructive way for detecting plants diseases and pests. In most previous studies, the utilization of the whole spectrum or a large number of bands as well as the complexity of model structure severely hampers the application of the technique in practice. If a detection system can be established with a few bands and a relatively simple logic, it would be of great significance for application. This study established a method for identifying and discriminating three commonly occurring diseases and pests of wheat, i.e., powdery mildew, yellow rust and aphid with a few… More >

  • Open Access

    ARTICLE

    Growth, ROS Markers, Antioxidant Enzymes, Osmotic Regulators and Metabolic Changes in Tartary Buckwheat Subjected to Short Drought

    Yan Wan1,#, Yuan Liang1,#, Xuxiao Gong1,#, Jianyong Ouyang1, Jingwei Huang2, Xiaoyong Wu1, Qi Wu1, Changying Liu1, Xueling Ye1, Xiaoning Cao3, Gang Zhao1, Liang Zou1,*, Dabing Xiang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 35-54, 2023, DOI:10.32604/phyton.2022.021698

    Abstract Tartary buckwheat (Fagopyrum tataricum) is an important pseudocereal feed crop with medicinal and nutritional value. Drought is one of the main causes of reduced growth and yield in these plants. We investigated the growth, physiological, and metabolic responses of the widely promoted Tartary buckwheat variety Chuan Qiao No. 1 to polyethylene glycol (PEG)-mediated drought stress. Drought significantly decreased shoot length, shoot biomass and relative water content. Root length, malondialdehyde content, electrolyte leakage, activities of superoxide dismutase, peroxidase, catalase and amylase, and contents of soluble sugar, soluble protein and proline were increased by PEG-mediated drought. Untargeted metabolomics analysis identified 32 core… More >

  • Open Access

    ARTICLE

    Overexpression of Wheat TaELF3-1BL Delays Flowering in Arabidopsis

    Junsheng Sun#, Haozhen Zhang#, Mingxia Zhang, Sishen Li, Yanrong An*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 79-90, 2023, DOI:10.32604/phyton.2022.022225

    Abstract EARLY FLOWERING 3 (ELF3), a light zeitnehmer (time-taker) gene, regulates circadian rhythm and photoperiodic flowering in Arabidopsis, rice, and barley. The three orthologs of ELF3 (TaELF3-1AL, TaELF3-1BL, and TaELF3-1DL) have been identified in wheat too, and one gene, TaELF3-1DL, has been associated with heading date. However, the basic characteristics of these three genes and the roles of the other two genes, TaELF3-1BL and, TaELF3-1AL, remain unknown. Therefore, the present study obtained the coding sequences of the three orthologs (TaELF3-1AL, TaELF3-1BL, and TaELF3-1DL) of ELF3 from bread wheat and characterized them and investigated the role of TaELF3-1BL in Arabidopsis. Protein sequence… More >

  • Open Access

    ARTICLE

    Breeding Enrichment of Genetic Variation of Grain Yield and Its Attributes in Bread Wheat under Drought Stress and Well Irrigation

    Dina Swelam1, Abdel Hamid Salem2, Manal Hassan1, Mohammed Ali2,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.12, pp. 2699-2717, 2022, DOI:10.32604/phyton.2022.022651

    Abstract Drought stress (DS) is one of the most critical environmental abiotic stresses for wheat production in the arid environments. Selection of high-yielding genotypes tolerant to DS can play a significant role in mitigation the negative impacts associated with DS. In the present study, generation means analysis (GMA) was used to study the performance of two crosses under well irrigation (WI) and deficit irrigation [cross I (Line 44 × Shandweel-1) and cross II (Line 20 × Sakha 93)]. Significant differences were observed for days to heading (DH), days to maturity (DM), plant height (PH), spike length (SL), number of spikes per plant (NS/P), number of… More >

  • Open Access

    ARTICLE

    Exploration of Genetic Pattern of Phenological Traits in Wheat (Triticum aestivum L.) under Drought Stress

    Iqra Ishaaq1, Muhammad Umer Farooq1,2,3,4,*, Syeda Anjum Tahira2, Rizwana Maqbool1, Celaleddin Barutçular3, Muhammad Yasir5, Saira Bano2, Zaid Ulhassan6, Ghassan Zahid7, Muhammad Ahsan Asghar8, Sajad Hussain9, Kocsy Gabor8, Ulkar Ibrahimova10,11, Jianqing Zhu4, Anshu Rastogi12,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.12, pp. 2733-2758, 2022, DOI:10.32604/phyton.2022.022094

    Abstract Drought is the major detrimental environmental factor for wheat (Triticum aestivum L.) production. The exploration of genetic patterns underlying drought tolerance is of great significance. Here we report the gene actions controlling the phenological traits using the line × tester model studying 27 crosses and 12 parents under normal irrigation and drought conditions. The results interpreted via multiple analysis (mean performance, correlations, principal component, genetic analysis, heterotic and heterobeltiotic potential) disclosed highly significant differences among germplasm. The phenological waxiness traits (glume, boom, and sheath) were strongly interlinked. Flag leaf area exhibits a positive association with peduncle and spike length under… More >

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