Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (44)
  • Open Access

    ARTICLE

    Growth, Yield, Energetics, CO2 Emissions and Production Economics of Zero-Tillage Wheat as Influenced by Different Rice Residue Loads and Nutrient Management Options

    Mallepu S Likhitha Reddy1, Biplab Mitra1, Ahmed Gaber2, Akbar Hossain3,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3509-3530, 2024, DOI:10.32604/phyton.2024.056789 - 31 December 2024

    Abstract The rice‒wheat farming system is considered as the greatest energy-intensive agricultural practice in South‒East Asia. In light of declining system production and profitability, burning of residues, soil erosion, depletion of renewable resources, and environmental degradation, the sustainability of the rice‒wheat cropping system is being questioned. As a result, energy and money efficient conservation agricultural methods are becoming more and more necessary to accomplish sustainable output. A field experiment was carried out in this regard to evaluate the effects of varying degrees of rice residue retention and nutrient management options on zero-tillage grown wheat growth, yield,… More >

  • Open Access

    ARTICLE

    Novel Insights into the Conservation Physiology and Ex situ Conservation of the Threatened and Rare Semi-Aquatic Moss Drepanocladus lycopodioides (Amblystegiaceae)

    Bojana Z. Jadranin1, Marija V. Ćosić1, Djordje P. Božović1, Milorad M. Vujičić1,2, Beáta Papp3, Aneta D. Sabovljević1,2, Marko S. Sabovljević1,2,4,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 3039-3054, 2024, DOI:10.32604/phyton.2024.058469 - 30 November 2024

    Abstract The rare and threatened semi-aquatic moss Drepanocladus lycopodioides (Amblystegiaceae) was the subject of growth optimization under ex situ axenic laboratory conditions. The positioning of the plantlets on media, media types as well as selected growth regulators and sugars were parameters tested in optimizing growth promotion of this species in captivity. Out of the tested media types, the KNOP medium and the upright positioning of the explants were the best for propagation and biomass production of D. lycopodioides. The addition of sugars had no significant effect on this moss development axenically, while exogenously applied Benzylaminopurine (BAP) at a… More >

  • Open Access

    ARTICLE

    The Developmental and Physiological Traits of Rare and Threatened Moss Physcomitrium eurystomum Sendtn. (Funariaceae) Valuable for Its Conservation

    Djordje P. Božović1,2, Anja Rimac3, Milorad M. Vujičić1,4, Pragya Singh5, Michal Goga5, Mingai Li2,6, Claudio Varotto2,6, Aneta D. Sabovljević1,4, Marko S. Sabovljević1,4,5,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2949-2961, 2024, DOI:10.32604/phyton.2024.057995 - 30 November 2024

    Abstract Physcomitrium eurystomum Sendtn. is a very rare European ephemeral funaroid moss. The entire European population of this species is considered threatened and it is red-listed in many regions and countries. In addition to being recognized as threatened and included in nature conservation legislation, it also requires active protection measures. This study aims to contribute to effective conservation practices for P. eurystomum. Different conservation physiology tests were carried out to propagate this species to achieve a reliable procedure for biomass production and the potential reintroduction of germplasm. Ex situ tests, both in vitro and ex vitro, were carried out to determine… More >

  • Open Access

    ARTICLE

    Effect of Senescence Retardants on the Quality of Persian Lime Fruits

    Rafael Ariza-Flores1, Rafael Ambriz-Cervantes2, Pedro Cadena-Iñiguez3, Luis A. Gálvez-Marroquín4, Miguel A. Cano-García4,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1805-1818, 2024, DOI:10.32604/phyton.2024.050093 - 30 August 2024

    Abstract The objective of this study consisted of evaluating the effect of the application of chitosan (Q), 1-methylcyclopropene (1-MCP) under two controlled temperatures on some physical, physiological, and chemical parameters contributing to the quality of Persian lime Citrus latifolia fruits. Eight treatments were evaluated, resulting from the combination of four senescence retardant applications (Q, 1-MCP, 1-MCP + Q, and without application) on fruits stored at two temperatures (12/20°C). Epidermis color (luminosity, chromaticity, and hue), fruit appearance, respiration, weight loss, total juice content, total soluble solids, and titratable acidity were registered during the study. The results indicate that More >

  • Open Access

    ARTICLE

    First Report of a Successful Development of Yam Hybrids (Dioscorea alata L.) from Lyophilized and Long-Term Stored Pollens

    Erick Malédon1, Elie Nudol1, Christophe Perrot1, Marie-Claire Gravillon1, Ronan Rivallan2,3, Denis Cornet2, Hâna Chair2,3, Komivi Dossa1,2,3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2861-2874, 2023, DOI:10.32604/phyton.2023.042397 - 15 September 2023

    Abstract Various biological constraints including erratic and asynchronous flowering between male and female plants hinder successful hybrid development and genetic gains in greater yam breeding programs. Therefore, pollen storage has gained much attention to facilitate artificial pollinations and increase the genetic gains. This 4-year study aimed at developing a practical long-term pollen storage technique for the successful development of yam hybrids. Fresh pollens were collected from two Dioscorea alata males, then lyophilized (two lyophilization treatments were applied), followed by storage at room temperature (24°C–25°C) for 12 months. Moreover, the lyophilized and stored pollens were tested for viability… More >

  • Open Access

    ARTICLE

    The whole-genome survey of Acer griseum, its polymorphic simple sequence repeats development and application

    XIAO-JUN ZHOU1,*, YU-WEI TIAN1, RUI-HAN LI2

    BIOCELL, Vol.47, No.8, pp. 1907-1913, 2023, DOI:10.32604/biocell.2023.030191 - 28 August 2023

    Abstract Background: Acer griseum Pax is an endangered species endemic to China with both ornamental and economic value. However, the lack of information on its genome size and characteristics hinders further work at the genome level. Methods: This paper applied bioinformatics methods to predict the characteristics and patterns of the A. griseum genome, providing an important basis for formulating its whole-genome sequencing scheme. This study also characterized the simple sequence repeats (SSRs) of A. griseum, laying the foundation for the development and application of genome-wide SSR markers. In this study, PE150 sequencing was performed by the BGI MGISEQ platform,… More >

  • Open Access

    ARTICLE

    HVAC Optimal Control Based on the Sensitivity Analysis: An Improved SA Combination Method Based on a Neural Network

    Lifan Zhao1,2, Zetian Huang1,2, Qiming Fu1,2,3,*, Nengwei Fang4, Bin Xing4, Jianping Chen2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2741-2758, 2023, DOI:10.32604/cmes.2023.025500 - 09 March 2023

    Abstract Aiming at optimizing the energy consumption of HVAC, an energy conservation optimization method was proposed for HVAC systems based on the sensitivity analysis (SA), named the sensitivity analysis combination method (SAC). Based on the SA, neural network and the related settings about energy conservation of HVAC systems, such as cooling water temperature, chilled water temperature and supply air temperature, were optimized. Moreover, based on the data of the existing HVAC system, various optimal control methods of HVAC systems were tested and evaluated by a simulated HVAC system in TRNSYS. The results show that the proposed More >

  • Open Access

    ARTICLE

    MAQMC: Multi-Agent Deep Q-Network for Multi-Zone Residential HVAC Control

    Zhengkai Ding1,2, Qiming Fu1,2,*, Jianping Chen2,3,4,*, You Lu1,2, Hongjie Wu1, Nengwei Fang4, Bin Xing4

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2759-2785, 2023, DOI:10.32604/cmes.2023.026091 - 09 March 2023

    Abstract The optimization of multi-zone residential heating, ventilation, and air conditioning (HVAC) control is not an easy task due to its complex dynamic thermal model and the uncertainty of occupant-driven cooling loads. Deep reinforcement learning (DRL) methods have recently been proposed to address the HVAC control problem. However, the application of single-agent DRL for multi-zone residential HVAC control may lead to non-convergence or slow convergence. In this paper, we propose MAQMC (Multi-Agent deep Q-network for multi-zone residential HVAC Control) to address this challenge with the goal of minimizing energy consumption while maintaining occupants’ thermal comfort. MAQMC… More >

  • Open Access

    ARTICLE

    Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects

    Vineet Sharma1, Mohammad Zubair Khan2,*, Shivani Batra1, Abdullah Alsaeedi3, Prakash Srivastava4

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1211-1231, 2023, DOI:10.32604/csse.2023.029184 - 03 November 2022

    Abstract The amount of needed control messages in wireless sensor networks (WSN) is affected by the storage strategy of detected events. Because broadcasting superfluous control messages consumes excess energy, the network lifespan can be extended if the quantity of control messages is decreased. In this study, an optimized storage technique having low control overhead for tracking the objects in WSN is introduced. The basic concept is to retain observed events in internal memory and preserve the relationship between sensed information and sensor nodes using a novel inexpensive data structure entitled Ordered Binary Linked List (OBLL). Whenever More >

  • Open Access

    ARTICLE

    Machine Learning-Based Threatened Species Translocation Under Climate Vulnerability

    Nandhi Kesavan*, Latha

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 327-337, 2023, DOI:10.32604/iasc.2023.030910 - 29 September 2022

    Abstract Climate change is the most serious causes and has a direct impact on biodiversity. According to the world’s biodiversity conservation organization, reptile species are most affected since their biological and ecological qualities are directly linked to climate. Due to a lack of time frame in existing works, conservation adoption affects the performance of existing works. The proposed research presents a knowledge-driven Decision Support System (DSS) including the assisted translocation to adapt to future climate change to conserving from its extinction. The Dynamic approach is used to develop a knowledge-driven DSS using machine learning by applying More >

Displaying 1-10 on page 1 of 44. Per Page