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  • Open Access


    Various Organic Nutrient Sources in Combinations with Inorganic Fertilizers Influence the Yield and Quality of Sweet Corn (Zea mays L. saccharata) in New Alluvial Soils of West Bengal, India

    Anindita Das1, Kanu Murmu2, Biplab Mitra3, Pintoo Bandopadhyay2, Ritesh Kundu4, Moupiya Roy5, Saleh Alfarraj6, Mohammad Javed Ansari7, Marian Brestic8, Akbar Hossain9,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 763-776, 2024, DOI:10.32604/phyton.2024.049473

    Abstract Nutrient management plays a crucial role in the yield and quality of sweet corn. A field experiment was conducted in consecutive two kharif seasons in 2018 and 2019 to investigate the effect of various organic sources of nutrients in combination with inorganic sources on the yield and quality of sweet corn under new alluvial soils of West Bengal, India. Treatments were: T: Control (without fertilizers); T: 100% recommended dose (RDF) of chemical fertilizers (CF) (RDF CF); T: 100% recommended dose of N (RDN) through vermicompost (VC) (RDN VC); T: 50 RDN through CF + 50% RDN through VC (RDN CF… More >

  • Open Access


    Changes in Leaf Stomatal Properties in Rice with the Growing Season

    Jiana Chen1,2, Fangbo Cao1,2, Min Huang1,2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 807-817, 2024, DOI:10.32604/phyton.2024.048299

    Abstract Transplanting rice varieties grown in different seasons can lead to different yields due to different dry matter production. Early-season rice varieties transplanted in the late season can obtain high yields with short-growth duration and higher yields driven by higher dry matter production. To make clear the variations in dry matter production across seasons, four early-season rice varieties were chosen for late-season transplantation. The grain yield, dry matter accumulation, leaf photosynthetic, and leaf stomatal properties were studied. It was observed that the average yields of these four varieties in the late season were 33% greater, despite a reduced growth period of… More >

  • Open Access


    Different Deficit Irrigation Lower Limits and Irrigation Quotas Affect the Yield and Water Use Efficiency of Winter Wheat by Regulating Photosynthetic Characteristics

    Huiqin Li, Mingzhi Zhang*, Na Xiao, Haijian Yang

    Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3211-3236, 2023, DOI:10.32604/phyton.2023.031003

    Abstract To determine suitable thresholds for deficit irrigation of winter wheat in the well-irrigated area of the Huang-Huai-Hai Plain, we investigated the effects of different deficit irrigation lower limits and quotas on the photosynthetic characteristics and grain yield of winter wheat. Four irrigation lower limits were set for initiating irrigation (i.e., light drought (LD, 50%, 55%, 60% and 50% of field holding capacity (FC) at the seedling-regreening, jointing, heading and filling-ripening stages, respectively), medium drought (MD, 40%, 50%, 55% and 45% of FC at the same stages, respectively), adequate moisture (CK1, 60%, 65%, 70% and 60% of FC at the same… More >

  • Open Access


    Machine Learning Design of Aluminum-Lithium Alloys with High Strength

    Hongxia Wang1,2, Zhiqiang Duan2, Qingwei Guo2, Yongmei Zhang1,2,*, Yuhong Zhao2,3,4,*

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1393-1409, 2023, DOI:10.32604/cmc.2023.045871

    Abstract Due to the large unexplored compositional space, long development cycle, and high cost of traditional trial-anderror experiments, designing high strength aluminum-lithium alloys is a great challenge. This work establishes a performance-oriented machine learning design strategy for aluminum-lithium alloys to simplify and shorten the development cycle. The calculation results indicate that radial basis function (RBF) neural networks exhibit better predictive ability than back propagation (BP) neural networks. The RBF neural network predicted tensile and yield strengths with determination coefficients of 0.90 and 0.96, root mean square errors of 30.68 and 25.30, and mean absolute errors of 28.15 and 19.08, respectively. In… More >

  • Open Access


    The Effect of Organ Temperature on Total Yield of Transplanted and Direct-Seeded Rice (Oryza sativa L.)

    Ziwei Li1,2, Lifen Huang1,2, Zhongyang Huo1,2, Min Jiang1,2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 2999-3019, 2023, DOI:10.32604/phyton.2023.030627

    Abstract The canopy temperature of rice is an important index that directly reflects the growth and physiological state of rice, and affects the yield of rice plants to a great extent. The correlation between the temperatures of different rice organs and canopy in different growth stages and the grain yield is complex. The stability and universality of these correlations must be verified. We conducted a pot experiment using two rice varieties and two temperature treatments (high temperature treatment was carried out at the beginning of heading stage for 10 days). We measured rice organ temperature during seven stages of growth using… More >

  • Open Access


    Prediction of Cuttings-Induced Annular-Pressure Loss in Extended-Reach Wells

    Long Wang1, Qingyun Shen1, Gui Wang2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.11, pp. 2877-2890, 2023, DOI:10.32604/fdmp.2023.029206

    Abstract Drill cuttings are broken bits of solid material removed from a borehole drilled by rotary, percussion, or auger methods and brought to the surface in the drilling mud. When these cuttings enter the annulus, they have an effect on the drilling fluid rheology and density, which is, in general, quite difficult to evaluate. By introducing an empirical correlation for the rheological properties of cuttings-laden drilling fluids, this study proposes a pressure-loss prediction method for an extended-reach well (ERW). After verifying the accuracy of this method, a case study is considered and a sensitivity analysis is conducted assuming a yield-power law… More >

  • Open Access


    Increasing Crop Quality and Yield with a Machine Learning-Based Crop Monitoring System

    Anas Bilal1,*, Xiaowen Liu1, Haixia Long1,*, Muhammad Shafiq2, Muhammad Waqar3

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2401-2426, 2023, DOI:10.32604/cmc.2023.037857

    Abstract Farming is cultivating the soil, producing crops, and keeping livestock. The agricultural sector plays a crucial role in a country’s economic growth. This research proposes a two-stage machine learning framework for agriculture to improve efficiency and increase crop yield. In the first stage, machine learning algorithms generate data for extensive and far-flung agricultural areas and forecast crops. The recommended crops are based on various factors such as weather conditions, soil analysis, and the amount of fertilizers and pesticides required. In the second stage, a transfer learning-based model for plant seedlings, pests, and plant leaf disease datasets is used to detect… More >

  • Open Access


    Effects of Pre-straining on Material Anisotropy in Sheet Metals

    Peidong Wu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010491

    Abstract The material anisotropy of an aluminum sheet alloy is determined by performing tensile tests at different angles with respect to the rolling direction (RD). To study the effect of pre-straining on the evolution of material anisotropy, a very wide sheet is stretched to different strains in the transverse direction (TD). The material in the central region is very close to a state of in-plane plane strain tension. Small tensile samples are cut from the central region of the pre-strained wide sample. Tensile tests are then performed on these small tensile samples. By comparing the differences in the flow stress vs.… More >

  • Open Access


    A Crystal Plasticity Based Constitutive Model for the Temperature Dependent Anomalous Behaviors of Nickel-Based Single-Crystal Superalloy

    Xueling Fan1,*, Pin Lu1, Xiaochao Jin1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09919

    Abstract Ni-based single crystal superalloys have been favored in the high-temperature service zones of aeroengine and gas turbine due to its excellent mechanical properties at high temperature. It is very significant to construct a constitutive model that can accurately capture the mechanical response of Ni-based single crystals for simulation analysis. In this work, a forest dislocation density-based single crystal plasticity constitutive model was developed to capture the mechanical behavior of Ni-based single crystals, including the temperature dependent anomalous yield and tension/compression asymmetry. Firstly, thermally activated cross-slip mechanism was introduced into the hardening model to describe the anomalous yield response. Secondly, the… More >

  • Open Access


    TCD5 Enhances the Photosynthesis Capacity, Increases the Panicle Number and the Yield in Rice

    Jing Yang1,2, Yufeng Wang2, Zhanghua Hu3, Xiaoping Chen4, Yanjun Dong5,*, Sheng Teng1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.9, pp. 2649-2663, 2023, DOI:10.32604/phyton.2023.030710

    Abstract Improvement of photosynthetic efficiency is a major approach to increase crop yield potential. Previously, we cloned a gene encoding the chloroplast-located putative monooxygenase TCD5, which is essential in plastid development under low temperature in rice (Oryza sativa L.). In this study, the effects of TCD5 on the photosynthesis and the yields were investigated in rice. Two sets of genetic materials with three levels of TCD5 expression, including tcd5 mutant or TCD5 RNAi transgenic lines and TCD5 over-expression transgenic lines in Jiahua1 and Nipponbare backgrounds, were used in the field trails of multi-locations and multi-years. TCD5 positively affected the panicle number… More >

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