Agronomy

Article Agronomy

Biosurfactants: Potential and Eco-Friendly Material for Sustainable Agriculture and Environmental Safety-A Review

Ekambaram Gayathiri, Palanisamy Prakash, Natchimuthu Karmegam, Sunita Varjani, Mukesh Kumar Awasthi, Balasubramani Ravindran

Summary: This review critically examines biosurfactants, their usage, related research, and challenges. Biosurfactants, produced by various microorganisms, have distinct properties compared to synthetic surfactants, such as mild production conditions, multifunctionality, higher biodegradability, and lower toxicity. They are widely used in the food industry, agriculture, industrial sectors, and environmental recreation.

AGRONOMY-BASEL (2022)

Article Agronomy

Response of C, N, and P stoichiometry characteristics of Broussonetia papyrifera to altitude gradients and soil nutrients in the karst rocky ecosystem, SW China

Qijuan Hu, Maoyin Sheng, Yixin Bai, Yin Jie, Hailong Xiao

Summary: The study found that in the karst rocky desertification ecosystem of Southwest China, plant species have different nutrient requirements, with higher altitude Broussonetia papyrifera plants being more restricted by phosphorus. B. papyrifera showed significant responses of C, N, and P stoichiometric characteristics to altitudinal gradients.

PLANT AND SOIL (2022)

Article Agronomy

Towards a sustainable viticulture: The combination of deficit irrigation strategies and agroecological practices in Mediterranean vineyards. A review and update

Pascual Romero, Josefa Maria Navarro, Pablo Botia Ordaz

Summary: This study reviews different physiologically-based water-saving irrigation strategies and methods, and discusses how integrating these practices with sustainable soil management and agroecological practices can enhance efficiency, quality, and resilience in Mediterranean vineyards. Analysis includes deficit irrigation strategies, latest advances in regulated deficit irrigation and partial root zone drying, and other less common irrigation methods to improve water use efficiency and quality in vineyards. The research also explores sustainable soil management practices and their potential benefits in creating more resilient and sustainable agricultural systems in semi-arid areas.

AGRICULTURAL WATER MANAGEMENT (2022)

Article Agricultural Engineering

Low-cost activated carbon preparation from Corn stigmata fibers chemically activated using H3PO4, ZnCl2 and KOH: Study of methylene blue adsorption, stochastic isotherm and fractal kinetic

Fatma Mbarki, Taher Selmi, Aida Kesraoui, Mongi Seffen

Summary: This study aimed to produce low-cost activated carbon (AC) from corn stigmata (CS) through chemical activation at low temperatures using H3PO4, ZnCl2, and KOH. The results showed that activation with phosphoric acid resulted in an adsorbent with a larger specific surface area and high pore size. Increasing the activation temperature from 200 to 500 degrees C led to the development of surface functions, a mixture of meso and microporosity, and a significant increase in specific surface area. The physicochemical and textural properties of ACs were analyzed using various techniques, and the adsorption process of methylene blue (MB) was well described by mathematical models. The maximum adsorption capacity for MB was found to be high compared to previous literature.

INDUSTRIAL CROPS AND PRODUCTS (2022)

Article Agronomy

Green Finance, Chemical Fertilizer Use and Carbon Emissions from Agricultural Production

Lili Guo, Shuang Zhao, Yuting Song, Mengqian Tang, Houjian Li

Summary: This study examines the impact of green finance on fertilizer use and agricultural carbon emissions in China. The results show that green finance can significantly reduce agricultural carbon emissions and there is a causal relationship between agricultural carbon emissions, fertilizer use, and green finance. These findings provide important insights for policy-making on carbon emission reduction.

AGRICULTURE-BASEL (2022)

Review Agronomy

Evolution of light use efficiency models: Improvement, uncertainties, and implications

Yanyan Pei, Jinwei Dong, Yao Zhang, Wenping Yuan, Russell Doughty, Jilin Yang, Decheng Zhou, Liangxia Zhang, Xiangming Xiao

Summary: This study investigates the evolution of light use efficiency (LUE) models and identifies their improvements in various components. It also highlights the uncertainties caused by model structures, parameterizations, input data, and scale mismatch issues.

AGRICULTURAL AND FOREST METEOROLOGY (2022)

Review Agronomy

Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies

Dinesh K. Saini, Yuvraj Chopra, Jagmohan Singh, Karansher S. Sandhu, Anand Kumar, Sumandeep Bazzer, Puja Srivastava

Summary: This review provides a comprehensive overview of the importance of GWAS in wheat, including population design, high-throughput genotyping and phenotyping platforms, statistical models, and the utilization of MTAs in breeding programs. Future breakthroughs in genomic selection, multi-omics-based approaches, and machine and deep learning models in wheat breeding are also discussed.

MOLECULAR BREEDING (2022)

Article Agronomy

Interactive effect of soil mulching and irrigation regime on yield, irrigation water use efficiency and left-to-right markweeds of trickle-irrigated onion

Ibrahim El-Metwally, Labib Geries, Hani Saudy

Summary: The study found that applying 60% of crop water requirements with peanut straw mulch or weeding can significantly reduce weed biomass in onion cultivation. Using peanut straw mulch under 80% crop water requirements can achieve acceptable marketable bulb yield, NPK contents, flavonoids content and economic returns comparable to using 100% crop water requirements.

ARCHIVES OF AGRONOMY AND SOIL SCIENCE (2022)

Article Agronomy

NIRv and SIF better estimate phenology than NDVI and EVI: Effects of spring and autumn phenology on ecosystem production of planted forests

Jingru Zhang, Jingfeng Xiao, Xiaojuan Tong, Jinsong Zhang, Ping Meng, Jun Li, Peirong Liu, Peiyang Yu

Summary: This study investigates the consistency of phenological metrics derived from remote sensing and flux tower data and examines the effects of spring and autumn phenology on vegetation production. The results show that near-infrared reflectance and solar-induced chlorophyll fluorescence are more effective in estimating phenological information. Additionally, a significant relationship was found between phenological metrics and gross primary production.

AGRICULTURAL AND FOREST METEOROLOGY (2022)

Review Agronomy

Deep learning: as the new frontier in high-throughput plant phenotyping

Sunny Arya, Karansher Singh Sandhu, Jagmohan Singh, Sudhir Kumar

Summary: This comprehensive review focuses on the recent developments in deep learning application for non-invasive high-throughput plant phenotyping. It describes the principles of deep learning and contextualizes them in comparison to traditional algorithms. The review identifies novel and emerging deep learning applications, provides recommendations for choosing suitable models and training strategies for capturing and predicting sensor-based phenotyping traits, and includes steps and suggestions for the development and deployment of multi-task phenotyping models. The review also reports public datasets that can be used for model training and benchmarking.

EUPHYTICA (2022)

Article Agricultural Engineering

Impregnation of phytic acid into the delignified wood to realize excellent flame retardant

Kaihao Wang, Dan Meng, Shuheng Wang, Jun Sun, Hongfei Li, Xiaoyu Gu, Sheng Zhang

Summary: Introducing bio-based acid sources into the cellulose lumens effectively enhances the flame retardant properties of wooden products. The treated wood showed significantly improved flame retardancy and mechanical properties, making it a promising option for furniture applications.

INDUSTRIAL CROPS AND PRODUCTS (2022)

Review Agronomy

Advances in site-specific weed management in agriculture-A review

Roland Gerhards, Dionisio Andujar Sanchez, Pavel Hamouz, Gerassimos G. Peteinatos, Svend Christensen, Cesar Fernandez-Quintanilla

Summary: The developments of information and automation technologies have opened up new possibilities for weed management in agricultural fields. Site-specific weed management systems, utilizing sensor technologies and artificial intelligence, have shown ecological and economic benefits in controlling weeds. Challenges exist in terms of interoperability of sensing and controllers, but the adoption of standards could improve the implementation of these technologies. Further on-farm research is needed to integrate these technologies into agricultural practice. Overall, the potential impact of site-specific weed management in reducing pesticide use and increasing biodiversity is significant.

WEED RESEARCH (2022)

Article Agronomy

Agro-economic prospects for expanding soybean production beyond its current northerly limit in Europe

Kathleen Karges, Sonoko D. Bellingrath-Kimura, Christine A. Watson, Frederick L. Stoddard, Mosab Halwani, Moritz Reckling

Summary: The study found that feed-grade soybean cultivars were better adapted to the central European climate compared to food-grade cultivars, providing higher and more stable yields. Irrigation increased soybean grain yields by an average of 41%, with no additional irrigation required in years with sufficient rainfall. Gross margins for organic soybean were higher than other crops, indicating a large agro-economic potential for soybean cultivation in central Europe as a novel grain legume crop.

EUROPEAN JOURNAL OF AGRONOMY (2022)

Article Agronomy

YOLO-Banana: A Lightweight Neural Network for Rapid Detection of Banana Bunches and Stalks in the Natural Environment

Lanhui Fu, Zhou Yang, Fengyun Wu, Xiangjun Zou, Jiaquan Lin, Yongjun Cao, Jieli Duan

Summary: This study proposes and compares two improved YOLOv4 neural network detection models, YOLO-Banana and YOLO-Banana-l4, in a banana orchard. The results show that both models can reduce network weight and shorten detection time compared to YOLOv4. The YOLO-Banana model has the best performance, with high detection accuracy for banana bunches and stalks in natural environment.

AGRONOMY-BASEL (2022)

Article Agronomy

Assembly of rhizosphere microbial communities in Artemisia annua: recruitment of plant growth-promoting microorganisms and inter-kingdom interactions between bacteria and fungi

Yuhua Shi, Yanshuo Pan, Li Xiang, Zhihui Zhu, Wenbo Fu, Guangfei Hao, Zengchao Geng, Shilin Chen, Yuzhong Li, Dongfei Han

Summary: The study found that Artemisia annua can assemble specific root-associated microbial communities with increased abundance of plant growth-promoting microorganisms, and build inter-kingdom co-occurrence networks, which may be beneficial for plant fitness in the natural environment.

PLANT AND SOIL (2022)

Article Agronomy

A novel deep learning-based method for detection of weeds in vegetables

Xiaojun Jin, Yanxia Sun, Jun Che, Muthukumar Bagavathiannan, Jialin Yu, Yong Chen

Summary: This paper presents a novel deep-learning-based method for weed detection in vegetable fields. By recognizing vegetable crops and classifying other green objects as weeds, rapid and accurate weed control can be achieved. The experimental results show that this method has an accuracy above 97% in the testing dataset, with YOLO-v3 model performing the best.

PEST MANAGEMENT SCIENCE (2022)

Review Agronomy

Plant Low-Temperature Stress: Signaling and Response

Mohammad Aslam, Beenish Fakher, Mohammad Arif Ashraf, Yan Cheng, Bingrui Wang, Yuan Qin

Summary: Cold stress significantly affects plant development and crop yield. Temperate plants have the ability to acclimate to low temperatures, while plants from tropical origins are more sensitive to cold stress. Plants have evolved various mechanisms to sense and respond to low-temperature stress, with epigenetic control playing a crucial role.

AGRONOMY-BASEL (2022)

Article Agricultural Engineering

Extraction, structural characteristics and activities of Zizylphus vulgaris polysaccharides

Junchi Li, Yumin Fan, Gangliang Huang, Hualiang Huang

Summary: This article summarizes the extraction methods of Zizylphus vulgaris polysaccharides, reviews their structural characteristics, activities, and structure-activity relationship, and analyzes the existing problems, aiming to provide reference and theoretical basis for improving the utilization of Zizylphus vulgaris polysaccharides.

INDUSTRIAL CROPS AND PRODUCTS (2022)

Article Agronomy

Antimicrobial Use and Resistance in Plant Agriculture: A One Health Perspective

Sally A. Miller, Jorge Pinto Ferreira, Jeffrey T. LeJeune

Summary: Bactericides, fungicides, and other pesticides play a crucial role in managing plant diseases, but their use can lead to harmful residues on plants and in the environment. The increasing resistance of plant pathogens to certain chemicals, such as streptomycin and fungicides, poses a significant concern. Additionally, the rise of environmental triazole fungicide-resistant Aspergillus fumigatus, which causes aspergillosis in humans, is particularly alarming in Europe. Through horizontal gene transfer, resistance genes can be exchanged among various bacteria in the agricultural setting, including plant pathogens and zoonotic bacteria. This can result in cross-resistance and even multi-drug resistance to different compounds. To ensure food security, sustainable production, and minimize the emergence and transmission of antimicrobial-resistant organisms from horticultural sources, the responsible use of pesticides is crucial.

AGRICULTURE-BASEL (2022)

Article Agronomy

The role of climate change and vegetation greening on evapotranspiration variation in the Yellow River Basin, China

Fubo Zhao, Shuai Ma, Yiping Wu, Linjing Qiu, Wenke Wang, Yanqing Lian, Ji Chen, Bellie Sivakumar

Summary: This study used a modified PML model to estimate the spatiotemporal changes in ET and its drivers in the Yellow River Basin from 1982 to 2016. It found that climate warming and vegetation greening were the main contributors to the significant increase in ET during the study period.

AGRICULTURAL AND FOREST METEOROLOGY (2022)