Yolotzin Apatzingán Palomino-Hermosillo¹, Ángel Elpidio Díaz-Jasso², Rosendo Balois-Morales¹, Verónica Alhelí Ochoa-Jiménez^1,3, Pedro Ulises Bautista-Rosales¹, Guillermo Berumen-Varela^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1717-1732, 2024, DOI:10.32604/phyton.2024.052216

Abstract Soursop (Annona muricata L.) is a tropical fruit highly valued for its unique flavor, nutritional value, and health-promoting properties. The ripening process of soursop involves complex changes in gene expression and metabolite accumulation, which have been studied using various omics technologies. Transcriptome analysis has provided insights into the regulation of key genes involved in ripening, while metabolic compound analysis has revealed the presence of numerous bioactive compounds with potential health benefits. However, the integration of transcriptome and metabolite compound data has not been extensively explored in soursop. Therefore, in this paper, we present a comprehensive analysis… More >

Ambika Aggarwal¹, Sunil Kumar^2,3, Ashok Bhansali⁴, Deema Mohammed Alsekait^5,*, Diaa Salama AbdElminaam^6,7,8

Computer Systems Science and Engineering, Vol.48, No.4, pp. 953-967, 2024, DOI:10.32604/csse.2024.050406

Abstract Existing multiple workflow scheduling techniques focus on traditional Quality of Service (QoS) parameters such as cost, deadline, and makespan to find optimal solutions by consuming a large amount of electrical energy. Higher energy consumption decreases system efficiency, increases operational cost, and generates more carbon footprint. These major problems can lead to several problems, such as economic strain, environmental degradation, resource depletion, energy dependence, health impacts, etc. In a cloud computing environment, scheduling multiple workflows is critical in developing a strategy for energy optimization, which is an NP-hard problem. This paper proposes a novel, bi-phase Energy-Efficient… More >

Wenwen Su^1,#, Chongpei Zheng^3,#, Zhencheng Han², Chunguang Ren¹, Di Wu¹, Tao Li¹, Yi Yang¹, Weijie Li^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1249-1261, 2024, DOI:10.32604/phyton.2024.051935

Abstract Kiwifruit canker and brown spot are significant diseases affecting kiwis, caused by Pseudomonas syringae pathogenic variations (Pseudomonas syringae pv. Actinidiae (Psa)) and Corynesporapolytica (Corynespora cassiicola). At present, the research on canker disease and brown spot disease mainly focuses on the isolation and identification of pathogenic bacteria, drug control, resistance gene mining and functional verification. Practice has proved that breeding disease resistant varieties are an effective method to control canker disease and brown spot disease. However, most existing cultivars lack genes for canker and brown spot resistance. Wild kiwifruit resources in nature exhibit extensive genetic diversity due to prolonged natural selection,… More >

Susi Susi^1,2,*, Makhmudun Ainuri^3,*, Wagiman Wagiman³, Mohammad Affan Fajar Falah³

Journal of Renewable Materials, Vol.12, No.3, pp. 513-537, 2024, DOI:10.32604/jrm.2024.045586

Abstract Microcrystalline cellulose (MCC) is one of the cellulose derivatives produced as a result of the depolymerization of a part of cellulose to achieve high crystallinity. When implemented in other polymers, high crystallinity correlates with greater strength and stiffnes, but it can reduce the water-holding capacity. The acid concentration and hydrolysis time will affect the acquisition of crystallinity and water absorption capacity, both of which have significance as properties of hydrogel filler. The study aimed to evaluate the properties and select the MCC generated from varying the proportion of hydrochloric acid (HCl) and the appropriate hydrolysis… More > Graphic Abstract

Irfan Haider¹, Muhammad Attique Khan^1,*, Muhammad Nazir¹, Taerang Kim², Jae-Hyuk Cha²

Computer Systems Science and Engineering, Vol.48, No.2, pp. 529-554, 2024, DOI:10.32604/csse.2023.042080

Abstract Fruit infections have an impact on both the yield and the quality of the crop. As a result, an automated recognition system for fruit leaf diseases is important. In artificial intelligence (AI) applications, especially in agriculture, deep learning shows promising disease detection and classification results. The recent AI-based techniques have a few challenges for fruit disease recognition, such as low-resolution images, small datasets for learning models, and irrelevant feature extraction. This work proposed a new fruit leaf leaf leaf disease recognition framework using deep learning features and improved pathfinder optimization. Three fruit types have been… More >

Deni Ainur Rokhim^1,2, Isma Yanti Vitarisma¹, Sumari Sumari^1,*, Yudhi Utomo¹, Muhammad Roy Asrori¹

Journal of Renewable Materials, Vol.12, No.2, pp. 275-284, 2024, DOI:10.32604/jrm.2023.043419

Abstract The high consumption of electricity and issues related to fossil energy have triggered an increase in energy prices and the scarcity of fossil resources. Consequently, many researchers are seeking alternative energy sources. One potential technology, the Microbial Fuel Cell (MFC) based on rice, vegetable, and fruit wastes, can convert chemical energy into electrical energy. This study aims to determine the potency of rice, vegetable, and fruit waste assisted by Cu/Mg electrodes as a generator of electricity. The method used was a laboratory experiment, including the following steps: electrode preparation, waste sample preparation, incubation of the… More >

Eduardo Burgos-Valencia^1,#, Federico García-Laynes^1,#, Ileana Echevarría-Machado¹, Fatima Medina-Lara¹, Miriam Monforte-González¹, José Narváez-Zapata^2,*, Manuel Martínez-Estévez^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 151-183, 2024, DOI:10.32604/phyton.2023.046943

Abstract Habanero pepper (Capsicum chinense Jacq.) is a crop of economic relevance in the Peninsula of Yucatan. Its fruits have a high level of capsaicinoids compared to peppers grown in other regions of the world, which gives them industrial importance. Soil is an important factor that affects pepper development, nutritional quality, and capsaicinoid content. However, the effect of soil type on fruit development and capsaicinoid metabolism has been little understood. This work aimed to compare the effect of soils with contrasting characteristics, black soil (BS) and red soil (RS), on the expression of genes related to the… More >

S. Sofana Reka¹, Ankita Bagelikar², Prakash Venugopal^2,*, V. Ravi², Harimurugan Devarajan³

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 781-794, 2024, DOI:10.32604/cmc.2023.043369

Abstract The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality, flavor and nutritional value. The primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to consumers. The impact of rotten fruits can foster harmful bacteria, molds and other microorganisms that can cause food poisoning and other illnesses to the consumers. The overall purpose of the study is to classify rotten fruits, which can affect the taste, texture, and appearance of other fresh fruits, thereby reducing their shelf life.… More >

Jian Chen¹, Jing Zhang², Gang Pan³, Dandan Huang^1,*, Shuhua Zhu¹

Phyton-International Journal of Experimental Botany, Vol.93, No.1, pp. 15-28, 2024, DOI:10.32604/phyton.2023.045621

Abstract Ellagic acid (EA) is a natural antioxidant, widely present in a lot of forms’ soft fruits, nuts, and other plant tissues, and helpful for promoting human health; however, its protective effect on postharvest fruit and improving the quality index of postharvest fruit have rarely been studied. In this experiment, the strawberries were soaked in 0, 100, 200, 300, 400, and 500 mg L⁻¹ EA, respectively, and the influential EA on fruit quality and the antioxidant system of strawberries were studied. Compared with the control, EA treatment can reduce the browning degree and rotting rate of strawberry… More >

Xiandang Shen^1,2,3, Runxi He^2,3, Xin Li³, Zhuogong Shi^2,3,*, Jinfang Meng^2,3,*

Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3251-3266, 2023, DOI:10.32604/phyton.2023.042735

Abstract In this study, newly sprouted shoots of Zanthoxylum armatum (Z. armatum), which were collected after the harvesting period, were used as the primary experimental specimens. A randomized block design and paraffin sectioning method were used to investigate the flower bud differentiation process and the quantity and vitality of buds. Furthermore, the study examined the response of flowering and fruiting to cultivation methods for shoot growth, including layering and plant growth regulator application. The results showed that (a) layering and application of plant growth regulators for Z. armatum accelerated the process of flower bud differentiation by approximately 20 days… More >