Julio C. Anchondo-Páez, Esteban Sánchez^*, Carlos A. Ramírez-Estrada, Alondra Salcido-Martínez, Erick H. Ochoa-Chaparro

Phyton-International Journal of Experimental Botany, Vol.93, No.5, pp. 963-980, 2024, DOI:10.32604/phyton.2024.048742 - 28 May 2024

Abstract Beans contain a wide range of vitamins, proteins, calcium, and zinc which make them an important food source for many countries. To meet the demand for bean production worldwide, large amounts of fertilizers and pesticides are used. However, the cost of production and environmental impact increases. To produce food sustainably, the use of beneficial nutrients such as silicon as a biostimulant has been proposed. However, information about the effect of different sources of silicon on the metabolism of bean plants is scarce. Bean plants cv. Strike were grown in pots for 60 days and the… More >

Deming Lei^*, Heen Li

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 1855-1874, 2024, DOI:10.32604/cmc.2024.049480 - 15 May 2024

Abstract This study focuses on the scheduling problem of unrelated parallel batch processing machines (BPM) with release times, a scenario derived from the moulding process in a foundry. In this process, a batch is initially formed, placed in a sandbox, and then the sandbox is positioned on a BPM for moulding. The complexity of the scheduling problem increases due to the consideration of BPM capacity and sandbox volume. To minimize the makespan, a new cooperated imperialist competitive algorithm (CICA) is introduced. In CICA, the number of empires is not a parameter, and four empires are maintained More >

Aysegul Akpinar^*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2197-2210, 2023, DOI:10.32604/phyton.2023.029006 - 29 May 2023

Abstract Carex species are widely used in many parts of the world and contain a large number of ecologically diverse species. Among the Carex species, some of them are known to be glycophytes, while others are halophytes. Carex morrowii Boott (Cyperaceae) is resistant to trample through their root structure and has an essential ornamental value in the landscape with their leaves. However, no information was found about the level of salinity tolerance/ sensitivity of the Carex morrowii among these species. In the present study, changes in trace element contents (Na, K, Ca, Cu, Mn, Mg, Ni, Fe, P,… More >

Yajun Li, Yihui Wang, Shuang Chen, Yu Gao, Yan Shi^*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2151-2164, 2023, DOI:10.32604/phyton.2023.027930 - 29 May 2023

Abstract

In recent years, in order to improve nutrient use efficiency, especially nitrogen use efficiency, fertilizer value-added technology has been developed rapidly. However, the mechanism of the effect of synergistic fertilizer on plant nitrogen utilization is not clear. A study was, therefore, conducted to explore the activities and gene expression of key enzymes for nitrogen assimilation and the gene expression of nitrogen transporters in wheat after the application of synergistic fertilizer. Soil column experiment was set up in Qingdao Agricultural University experimental base from October 2018 to June 2019. Maleic acid and itaconic acid were copolymerized with

… More >

Masayuki Honda¹, Kenichi Tatsumi^2,*, Masaki Nakagawa³

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 557-577, 2022, DOI:10.32604/cmes.2022.020623 - 03 August 2022

Abstract A model to predict photosynthetic carbon assimilation rate (A) with high accuracy is important for forecasting crop yield and productivity. Long short-term memory (LSTM), a neural network suitable for time-series data, enables prediction with high accuracy but requires mesophyll variables. In addition, for practical use, it is desirable to have a technique that can predict A from easily available information. In this study, we propose a BLSTMaugmented LSTM (BALSTM) model, which utilizes bi-directional LSTM (BLSTM) to indirectly reproduce the mesophyll variables required for LSTM. The most significant feature of the proposed model is that its hybrid… More >

Tauqeer Ahmad Yasir¹, Sobia Aslam¹, Muhammad Shahid Rizwan², Allah Wasaya^1,*, Muhammad Ateeq¹, Muhammad Naeem Khan³, Sikander Khan Tanveer⁴, Walid Soufan⁵, Basharat Ali⁶, Allah Ditta^7,8, Arpna Kumari⁹, Ayman EL Sabagh^10,*

Phyton-International Journal of Experimental Botany, Vol.91, No.11, pp. 2491-2504, 2022, DOI:10.32604/phyton.2022.022473 - 12 July 2022

Abstract In soil biota, higher and enduring concentration of heavy metals like cadmium (Cd) is hazardous and associated with great loss in growth, yield, and quality parameters of most of the crop plants. Recently, in-situ applications of eco-friendly stabilizing agents in the form of organic modifications have been utilized to mitigate the adverse effects of Cd-toxicity. This controlled experiment was laid down to appraise the imprints of various applied organic amendments namely poultry manure (PM), farmyard manure (FYM), and sugarcane press mud (PS) to immobilize Cd in polluted soil. Moreover, phytoavailability of Cd in wheat was… More >

R. Ariza-Flores¹, D. Trujillo-García², M. A. Otero-Sánchez², E. Canales Sosa², C. H. Avendaño-Arrazate^3,*, L. A. Gálvez-Marroquín⁴, P. Cadena Iñiguez⁵

Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 933-947, 2021, DOI:10.32604/phyton.2021.013227 - 30 March 2021

Abstract The aim of this study was to evaluate some physiological aspects of papaya crops in semi conventional and organic production systems. The following factors assessed in this experiment were: 1. Production systems (organic and semi conventional); 2. Genotypes (Maradol and Maradona F1), and 3. Cover crop plants (Canavalia, vegetative cover and no cover). Twelve treatments were obtained -product of factors’ combination- and distributed under a threerepetition experimental design of subdivided parcels. The factors examined in this study, that changed the CO₂ assimilation rate, were production system and genotype. It was determined that the greatest gas exchange More >

Ejaz Ahmad Waraich^1,*, Zeeshan Ahmed^2,3, Zahoor Ahmad⁴, Rashid Ahmad¹, Murat Erman⁵, Fatih Cig⁵, Ayman El Sabagh^5,6

Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 587-597, 2020, DOI:10.32604/phyton.2020.08734 - 22 June 2020

Abstract Camelina (Camelina sativa L.) is famous for its oil quality and unique fatty acid pattern. Growth and yield of crops reduced under water deficit conditions. Environmental threat such as drought or water deficit condition is the emerging problem which creates the negative impact on the growth of plants. Based upon the current situation a pot study was performed in rain out-shelter to explore the effect of different plant densities (15, 10 and 5 plants per pot) on growth and seed yield of two camelina genotypes under normal (100% WHC) and water deficit (60% WHC) conditions by… More >

Zelong Wang^{1, 2, 3, *}, Xiangui Liu^{1, 2, 3}, Haifa Tang³, Zhikai Lv³, Qunming Liu³

CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 873-893, 2020, DOI:10.32604/cmes.2020.08993 - 01 May 2020

Abstract The Ensemble Kalman Filter (EnKF), as the most popular sequential data assimilation algorithm for history matching, has the intrinsic problem of high computational cost and the potential inconsistency of state variables updated at each loop of data assimilation and its corresponding reservoir simulated result. This problem forbids the reservoir engineers to make the best use of the 4D seismic data, which provides valuable information about the fluid change inside the reservoir. Moreover, only matching the production data in the past is not enough to accurately forecast the future, and the development plan based on the… More >

Hiromichi Nagao^1,2,*, Shin-ichi Ito^1,2, Tadashi Kasuya³, Junya Inoue^4,3

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.2, pp. 127-127, 2019, DOI:10.32604/icces.2019.05384

Abstract Data assimilation (DA) is a computational technique to integrate numerical simulation models and observational/experimental data based on Bayesian statistics. DA is accepted as an essential methodology for the modern weather forecasting, and is applied to various fields of science including structural materials science. We propose a DA methodology to evaluate unobservable parameters involved in multi-phase-field models with the aim of accurately predicting the observed grain growth, such as in metals and alloys. This approach integrates models and a set of observational image data of grain structures. Since the set of image data is not a… More >