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Classes and phyla of the kingdom Fungi

Fungal Diversity 2024年第5期124卷 1-165页

作者： Nalin N.Wijayawardene Kevin D.Hyde Kirill V.Mikhailov Gabor Peter Andre Aptroot Carmen L.A.Pires‑Zottarelli Bruno T.Goto Yuri S.Tokarev Danny Haelewaters Samantha C.Karunarathna Paul M.Kirk Andre L.C.M.de A.Santiago Ramesh K.Saxena Nathan Schoutteten Madhara K.Wimalasena Vladimir V.Aleoshin Abdullah M.S.Al‑Hatmi Kahandawa G.S.U.Ariyawansa Amanda R.Assuncao Thushara C.Bamunuarachchige Hans‑Otto Baral D.Jayarama Bhat Janusz Błaszkowski Teun Boekhout Nattawut Boonyuen Michael Brysch‑Herzberg Bin Cao Jonathan Cazabonne Xue‑Mei Chen Claudia Coleine Dong‑Qin Dai Heide‑Marie Daniel Suzana B.G.da Silva Francisco Adriano de Souza Somayeh Dolatabadi Manish K.Dubey Arun K.Dutta Aseni Ediriweera Eleonora Egidi Mostafa S.Elshahed Xinlei Fan Juliana R.B.Felix Mahesh C.A.Galappaththi Marizeth Groenewald Li‑Su Han Bo Huang Vedprakash G.Hurdeal Anastasia N.Ignatieva Gustavo H.Jeronimo Ana L.de Jesus Serhii Kondratyuk Jaturong Kumla Martin Kukwa Qirui Li Juliana L.R.Lima Xiao‑Yong Liu Wenhua Lu H.Thorsten Lumbsch Hugo Madrid Franco Magurno Guy Marson Eric H.C.McKenzie Audrius Menkis Armin Mešić Elaine C.R.Nascimento Elena S.Nassonova Yong Nie Naasson V.L.Oliveira Emilia A.Ossowska Julia Pawłowska Ursula Peintner Igor R.Pozdnyakov Bhagya M.Premarathne A.K.Hasith Priyashantha C.Alisha Quandt Mariana B.Queiroz Kunhiraman C.Rajeshkumar Mubashar Raza Niranjan Roy Milan C.Samarakoon Alessandra A.Santos Lidiane A.Santos Felix Schumm Laura Selbmann Faruk Selcuk D.Rabern Simmons Anastasia V.Simakova Maudy Th.Smith Onden Paraparath Sruthi Nakarin Suwannarach Kazuaki Tanaka Saowaluck Tibpromma Elias O.Tomas Merve Ulukapı Nicolas Van Vooren Dhanushka N.Wanasinghe Evi Weber Qianzhen Wu Er Fu Yang Ryuichi Yoshioka Noha H.Youssef Annemarie Zandijk Gui‑Qing Zhang Jin‑Yong Zhang Heng Zhao RuiLin Zhao Oleg A.Zverkov Marco Thines Sergey A.Karpov Center for Yunnan Plateau Biological Resources Protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujing 655011YunnanPeople’s Republic of China Tropical Microbiology Research Foundation 96/N/10Meemanagoda RoadPannipitiya 10230Sri Lanka Department of Bioprocess Technology Faculty of TechnologyRajarata UniversityMihintaleSri Lanka Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiangRai 57100Thailand Innovative Institutefor Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225People’s Republic of China CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunmingYunnanChina Belozersky Institute of Physicochemical Biology Lomonosov Moscow State UniversityLeninskye Gory1Build.40Moscow 119991Russian Federation Kharkevich Institute for Information Transmission Problems Russian Academy of SciencesMoscow 127051Russian Federation National Collection of Agricultural and Industrial Microorganisms Institute of Food Science and TechnologyHungarian University of Agriculture and Life SciencesSomlóiút 14‑161118 BudapestHungary Instituto de Biociências Universidade Federal de Mato Grosso do SulAvenida Costa e Silvas/n Bairro UniversitárioCampo GrandeMS CEP 79070‑900Brazil Instituto de Pesquisas Ambientais Secretaria do Meio AmbienteInfraestrutura e LogísticaAv.Miguel Stéfano 3687São PauloSP CEP 04301‑902Brazil Departamento de Botânica e Zoologia Universidade Federal do Rio Grande do NorteCampus UniversitárioNatalRN 59078-900Brazil All-Russian Institute of Plant Protection Sh.Podbelskogo 3PushkinSt.Petersburg 196608Russia Research Group Mycology Department of BiologyGhent University9000 GhentBelgium Faculty of Science University of South Bohemia37005ČeskéBudějoviceCzech Republic Department of Ecology and Evolutionary Biology University of Colora

Fungi are one of the most diverse groups of organisms with an estimated number of species in the range of 2–3 *** higher-level ranking of fungi has been discussed in the framework of molecular phylogenetics since Hibbett et al.,and the definition and the higher ranks(e.g.,phyla)of the‘true fungi’have been revised in several subsequent *** accumulation of novel genomic data and the advancements in phylogenetics now facilitate a robust and precise foundation for the higher-level classification within the *** study provides an updated classification of the kingdom Fungi,drawing upon a comprehensive phylogenomic analysis of Holomycota,with which we outline well-supported nodes of the fungal tree and explore more contentious *** accept 19 phyla of Fungi,***,Ascomycota,Basidiobolomycota,Basidiomycota,Blastocladiomycota,Calcarisporiellomycota,Chytridiomycota,Entomophthoromycota,Entorrhizomycota,Glomeromycota,Kickxellomycota,Monoblepharomycota,Mortierellomycota,Mucoromycota,Neocallimastigomycota,Olpidiomycota,Rozellomycota,Sanchytriomycota,and *** the phylogenies,Caulochytriomycota resides in Chytridiomycota;thus,the former is regarded as a synonym of the latter,while Caulochytriomycetes is viewed as a class in *** provide a description of each phylum followed by its classes.A new subphylum,Sanchytriomycotina Karpov is introduced as the only subphylum in *** subclass Pneumocystomycetidae Kirk et *** Pneumocystomycetes,Ascomycota is invalid and thus *** of fossil fungi in phyla and classes are also discussed,providing examples.

关键词： Caulochytriomycota Phylogenomic analyses Pneumocystomycetidae Sanchytriomycotina

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Research On Public Building Energy Consumption Prediction Method Based On NAR Neural Network Prediction technology

Research On Public Building Energy Consumption Prediction Me...

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第四届能源与环境研究进展国际学术会议（ICAEER 2019）

作者： Heng-jie LI Zhen QIAO Wei CHEN Xian-qiang ZENG Long WU College of electrical and information engineering Lanzhou university of technology Key laboratory0 of advanced industrial process control in Gansu province Lanzhou university of technology electrical and control engineering national experimental teaching demonstration center

In order to solve the problem of high energy consumption of public buildings and optimize and improve energy conservation of public buildings, we built a building energy consumption prediction model based on NAR neural network prediction technology improved by BP neural network algorithm, and the energy consumption value is predicted. The large public buildings as the research object, the key factors to determine the effect of building energy consumption and collect the corresponding data processing, as the input parameters of neural network prediction public buildings energy consumption value, according to the actual situation will eventually NAR prediction of neural network and BP network prediction method and the comparative analysis the measured data. The results show that NAR neural network can predict the energy consumption of public buildings more accurately than BP neural network under different building parameters.

关键词： Research On Public Building Energy Consumption Prediction Method Based On NAR Neural Network Prediction technology NAR

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Research on distributed cooperative optimisation control strategy for active distribution network based on combine-then-adapt diffusion algorithm

Research on distributed cooperative optimisation control str...

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作者： Wu, Lizhen Jiang, Libo Hao, Xiaohong Zheng, Tianwen College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Key Laboratory of Gansu Advanced Control for Industrial Processes College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou China

Considering the problem of cooperative operation of highly intermittent renewable generations (photovoltaic and wind power) and flexible load in active distribution network, a distributed cooperative optimisation operation strategy based on combine-then-adapt diffusion algorithm is proposed in this study. Distributed agents of distributed generators are connected by the distributed sparse network through distributed hierarchical control method. As an agent node of networked system, it interchanges information with its neighbours. In order to make the distribution generator meet the equal incremental cost principle, the adaptive adjacency matrix and fusion matrix with the weighted factor are introduced to update the state value of nodes to obtain the same convergence value. In this strategy, the coordinated source and load is applied by the active power optimisation dispatching for active distribution network. Stimulate analysis and experimental results show that the proposed combine-then-adapt diffusion algorithm can effectively solve the problem of real-time detection signal, can quickly learn and adapt to environmental changes. Finally, the simulation analysis and experimental results of IEEE14-bus distribution test system is carried out to verify the effectiveness and feasibility of the proposed method. © 2019 Institution of Engineering and *** right reserved.

关键词： Wind power

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Highly efficient Uranium(Ⅵ) capture from aqueous solution by means of a hydroxyapatite-biochar nanocomposite: Adsorption behavior and mechanism

Highly efficient Uranium(Ⅵ) capture from aqueous solution b...

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第十一届重金属污染防治技术及风险评价研讨会

作者： Waqas Ahmed Avelino Nú?ez-Delgado Sajid Mehmood Sehrish Ali Muhammad Qaswar Awais Shakoor Di-Yun Chen Guangdong Provincial Key Laboratory for Radionuclides Pollution Control and Resources School of Environmental Science and Engineering Guangzhou University School of Civil Engineering Guangzhou University Department of Soil Science and Agricultural Chemistry Engineering Polytechnic School Universidade de Santiago de Compostela College of Ecology and Environment Hainan University National Engineering Laboratory for Improving Quality of Arable Land Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Key Laboratory of Industrial Ecology and Environmental Engineering School of Environmental Science and Technology Dalian University of Technology Department of Environment and Soil Sciences University of Lleida

The exploration and rational design of easily separable and highly efficient sorbents with the sufficient capability of retaining radioactive and toxic uranium U（VI） is *** this study,a hydroxyapatite （HAP） biochar nanocomposite （BR/HAP） was successfully fabricated from rice straw biochar （BR）,to be used as a new and efficient adsorbent for removing U（VI） from aqueous *** BR and the BR/HAP composite were characterized via Brunauer-Emmett-Teller （BET）,scanning electron microscopy （SEM）,energy dispersive spectroscopy （EDS）,transmission electron microscopy （TEM）,X-ray diffraction （XRD）,Fourier transform infrared spectroscopy（FTIR） and X-ray photo electron spectroscopy （XPS） *** test results showed that BR/HAP exhibited remarkably higher adsorption capacity than the raw BR.A pseudo-second order kinetic model thoroughly explained the adsorption kinetics,providing the maximum U（VI） adsorption capacities （q） of 110.56 mg g （R=0.98） and428.25 mg g （R=0.99）,for BR and BR/HAP,respectively,which was indicative of the rate-limited sorption via diffusion or surface complexation after rapid initial adsorption *** Langmuir isotherm model fitted the experimental data to accurately simulate the adsorption of U（VI） onto BR and BR/HAP （R=0.97 and R=0.99）.The thermodynamic results showed negative values forΔGo,clearly indicating that the reaction was spontaneous,as well as positive values forΔHo(11.04 kJ mol and 28.86 kJ mol,respectively) andΔSo(88.97 kJ molK,and 183.42 kJ mol K),making clear the endothermic nature of U（VI） adsorption onto both sorbents,with an increase in randomness at a molecular *** spectroscopy and XPS spectrum further confirmed that the primary mechanisms were ion exchange with UOand surface complexion by-OH and-COOH,and phosphate groups notably were conducive to the excellent sorption capability of BR/HAP towards *** addition,BR/HAP showed an excellent reusability,after five adsorption-desorption experiments,the

关键词： Adsorption Biochar Hydroxyapatite Nanocomposite Uranium Wastewater treatment

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Effect of calcium chelation on the physio-chemical characteristics and rehydration behavior of spray-dried casein-rich powder

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Journal of Food Engineering 2025年 400卷

作者： Zhong, Qiantong Luo, Shucan Fizpatrick, John Jiang, Langye Guo, Zonglin Lin, Jie Zheng, Hua Zeng, Haili Wu, Canhu Zheng, Songbai Gu, Yan Turchiuli, Christelle Wang, Yunna Lei, Hongtao Wu, Shaozong Guangdong Provincial Key Laboratory of Food Quality and Safety National-Local Joint Engineering Research Center for Processing and Safety Control of Livestock and Poultry Products College of Food Science South China Agricultural University Guangzhou510642 China Universite Paris-Saclay INRAE AgroParisTech UMR SayFood Palaiseau91120 France Guangdong Provincial Engineering & Technology Research Center for Conservation and Utilization of the Genuine Southern Medicinal Resources Guangzhou510640 China Process & Chemical Engineering School of Engineering University College Cork Cork Ireland Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process Ministry of Agriculture and Rural Affairs Institute of Food Science and Technology Chinese Academy of Agricultural Sciences Beijing100193 China School of Food Science and Engineering South China University of Technology Guangdong Guangzhou510640 China Guangzhou Dublin International College of Life Sciences and Technology South China Agricultural University Guangzhou510642 China

Calcium chelators may solve the rehydration difficulty of casein micelle rich powder. However, the thermal effect during spray drying process may modify the calcium-chelated casein structure and affect the powder functionality. This study therefore investigated the effect of calcium chelation and spray drying on casein powder and the corresponding casein structure. Trisodium citrate (TC) was added to 20 % solutions of MCI (micellar casein isolate) powders to bring the TC concentrations up to 10–100 mM before spray drying. The results indicated that TC effectively decreased the particle size of casein clusters and increased zeta potential of casein solutions. Noticeably, high TC (80 & 100 mM) led to high viscosity unsuitable for spray drying. The chelated casein (TCC) powder size decreased significantly from 37.779 ± 1.407 μm to a minimum 12.815 ± 0.660 μm (P © 2025

关键词： Chelation

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Polysaccharide nano‑selenium in the regulation of neuroinflammation: A review of mechanisms, functional potential, and activity evaluation

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Carbohydrate Polymers 2025年 366卷

作者： Xinyue Liu Simal-Gandara Jesus Zhiqiang Kong Ningning Fan Yunchong Mi Qiong Wang Yatao Huang Long Li Jia Lu Bei Fan Minmin Li Institute of Food Science and Technology Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process/Laboratory of Agro-products Quality Safety Risk Assessment Ministry of Agriculture and Rural Affairs Beijing 100193 PR China Universidade de Vigo Nutrition and Bromatology Group Analytical Chemistry and Food Science Department Faculty of Science E32004 Ourense Spain State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing 100193 PR China College of Life Science and Technology Mudanjiang Normal University Mudanjiang 157000 Heilongjiang PR China National Nanfan Research Institute (Sanya) Chinese Academy of Agricultural Sciences Sanya 572024 China

Neuroinflammation is crucial in the pathogenesis of various neurological disorders, particularly neurodegenerative and inflammatory diseases. Recently, polysaccharides and polysaccharide nano‑selenium have gained attention for their potential in protecting neural tissue from damage. However, there is a lack of comprehensive studies on the role of polysaccharides in modulating neuroinflammation and the structural characteristics that underpin their effects. This research examines the relationship between key structural elements and the bioactivity of polysaccharides in neuroinflammatory responses. It focuses on factors like monosaccharide composition, molecular weight, glycosidic linkages, and higher-order structures. The review highlights mechanisms by which polysaccharides inhibit pro-inflammatory cytokine release, regulate extracellular matrix components, and promote neurotrophic factors. Additionally, it explores polysaccharide nano‑selenium, which show promise in alleviating oxidative stress, controlling inflammation, and modulating gut microbiota—all contributing to neuroinflammation regulation. This paper aims to systematically review existing studies on polysaccharide nano‑selenium using cellular and animal models, combining evaluations of safety and efficacy to present a holistic view of the protective capabilities of polysaccharides and polysaccharide nano‑selenium in modulating neuroinflammation. Ultimately, the goal is to enhance the utilization of polysaccharides and polysaccharide nano‑selenium in the food industry.

关键词： Functional potential Mechanisms Neuroinflammation Polysaccharide nano‑selenium Polysaccharides

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Magnetic Fe/Carbon/Polymer Composite Hydrogels for Efficient Degradation of Antibiotics in Simulated Wastewater

SSRN

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SSRN 2021年

作者： Liu, Da Gu, Wenyi Zhou, Wenqi He, Wenjia Liu, Lizheng Xu, Ying Zhou, Liang Zhang, Jinlong Liu, Yongdi Lei, Juying National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery East China University of Science and Technology 130 Meilong Road Shanghai200237 China Shanghai Geotechnical Engineering Detecting Centre 522 Huanzhen South Road Shanghai200442 China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization East China University of Science and Technology 130 Meilong Road Shanghai200237 China Key Laboratory for Advanced Materials Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research Center School of Chemistry and Molecular Engineering East China University of Science and Technology 130 Meilong Road Shanghai200237 China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology 130 Meilong Road Shanghai200237 China

Three kinds of hydrogel materials combining MOF-derived magnetic Fe/porous carbon (MagFePC) with sodium alginate (SA), polyacrylic acid (PAA) and agarose (AG) were prepared by different methods for removal of norfloxacin (NOR) antibiotics in simulated wastewater. After comparison, MagFePC/SA hydrogels synthesized by a titration forming method were found to have the advantages of simple preparation, good toughness, abundant pores and high Fenton activity. MagFePC/SA can effectively activate H2O2 to remove NOR under neutral conditions, and there was almost no leaching of iron ions, causing no secondary pollution to the environment. Mechanism study revealed that ·O2- and 1O2 were the main active species for the degradation of NOR pollutants, and cyclic experiments showed the materials still had good degradation ability after repeated cycles indicating good stability and reusability of the materials. More important, we built a simple automated wastewater treatment unit that can completely degrade a 5 mg/L NOR antibiotic solution at a flow rate of 2 mL/min. Current works showed that MagFePC/SA had the advantages of simple synthesis, outstanding degradability, excellent stability and eco-friendly reaction, which was a wastewater treatment material with good prospect for industrial application. © 2021, The Authors. All rights reserved.

关键词： Antibiotics

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Deep CO 2 photoreduction by synergy of K + doping and defective modulation over TiO 2 @K 2 Ti 6 O 13 nanoribbon heterojunctions

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Journal of Environmental Chemical Engineering 2025年第4期13卷

作者： Leiping Wang Shuai Liu Zun Man Xiaorong Dai Guangsuo Yu Honglei Zhang Hang Xiao Yang Meng State Key Laboratory of Advanced Environmental Technology Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China Ningbo Key Laboratory of Urban Environmental Pollution Control CAS Haixi Industrial Technology Innovation Center in Beilun Ningbo 315830 China University of Chinese Academy of Sciences Beijing 100049 China School of Mechatronics and Energy Engineering NingboTech University Ningbo 315100 China College of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310058 China College of Biological and Environmental Sciences Zhejiang Wanli University Ningbo 315100 China Key Laboratory of Coal Gasification and Energy Chemical Engineering of Ministry of Education East China University of Science and Technology Shanghai 200237 China Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute Faculty of Science and Engineering The University of Nottingham Ningbo China Ningbo 315048 China

The contemporary issues of energy shortages and global warming, attributable to the substantial utilization of fossil fuels, require immediate consideration and remedial action. Photocatalytic CO 2 reduction (CO 2 RR) technology is a promising approach to mitigate climate change and address current energy shortages. However, slow charge dynamics and low affinity for intermediates on photocatalysts remain significant challenges in photocatalytic CO 2 reduction. In this study, we have synthesized a series of TiO 2 @K 2 Ti 6 O 13 (KTO) heterojunctions for gas-solid phase photocatalytic CO 2 reduction by incorporating K-doped defective TiO 2 during the construction of KTO nanoribbons using a simple hydrothermal method. The presence of oxygen vacancies and the formation of type II heterojunctions provided a driving force for the transfer of photoexcited carriers, which modulated the electronic properties of the catalyst surface through the built-in electric field. Density functional theory (DFT) calculations and experimental results show that in Ov-K/TiO 2 , K + doping and oxygen vacancies (O v ) synergistically modulate the charge density of Ti active sites, thereby promoting the adsorption and activation of CO* intermediates. This enhancement resulted in O v -K/TiO 2 @KTO-2 exhibiting improved CO 2 conversion capacity and enhanced CH 4 selectivity. This work provides a simple method to synthesize efficient TiO 2 -based photocatalysts for selective CH 4 production and also offers a general platform for designing high-performance synergistic catalysts for efficient solar energy conversion.

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The effect of ion exchange membranes on the bipolar membrane electrodialysis of ammonium chloride wastewater

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IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Ya Li Wei Li Shaoyuan Shi Xinmin Wu College of Chemical Engineering Beijing Institute of Petro-Chemical Technology Beijing 102617 China National Engineering Laboratory for Hydrometallurgical Cleaner Production Technology Beijing Engineering Research Center of Process Pollution Control Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China

The different bipolar membranes and their configurations with monopolar ion exchange membranes from different manufacturers such as FAB-FBM-FKB, AHA-(BP-1E)- CMB, and JAM-(BMP-1)-JCM are used in the bipolar membrane electrodialysis (BMED) of simulated NH4Cl wastewater to examine the effect of membrane properties on the generation of HCl and NH3H2O. The results indicated that the configuration of AHA-(BP-1E)-CMB presented the promising performance among all the ion exchange membranes according to the generated acid and base concentration. And the configuration of FAB-FBM-FKB presented the expected performance on the membrane stack voltage, energy consumption, current efficiency of the BMED system. The stability of different ion exchange membranes in strong acid and base solution were investigated further by the analyses of SEM, contact angle and membrane resistance. It was found that the membranes AHA and FKB had better chemical stability than other membranes.

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Data-driven modeling of reproductive performance: a cohort study for elevated sow efficiency and sustainability in livestock farming

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Computers and Electronics in Agriculture 2025年 237卷

作者： Jiayi Su Qian Xie Yuankun Deng Chengming Wang Shuai Xie Ning Gao Xiaokang Ma Sung Woo Kim Charles Martin Nyachoti Yulong Yin Bie Tan Jing Wang Key Laboratory of Hunan Province for the Products Quality Regulation of Livestock and Poultry College of Animal Science and Technology Hunan Agricultural University Changsha 410128 China Wuhan Huada Institute of Life Sciences Wuhan 430000 China Department of Animal Science North Carolina State University NC 27695 USA Department of Animal Science University of Manitoba Manitoba R3T 2N2 Canada Laboratory of Animal Nutritional Physiology and Metabolic Process Key Laboratory of Agro-Ecological Processes in Subtropical Region National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production Institute of Subtropical Agriculture Chinese Academy of Sciences Changsha 410125 China Yuelushan Laboratory Changsha 410128 China

The slow development of the Internet of Things (IoT) in pig production, due to the lack of high-quality data, limited large-scale models, and low hardware coverage, has hindered the widespread adoption of precision feeding practices. This study aimed to address these challenges by providing a standardized dataset as a foundation for IoT development and constructing predictive models focused on birth litter weight (BLW) and weaned litter weight (WLW). To achieve these objectives, two comprehensive datasets consisting of 10,089 sow characteristics were collected. By comparing eight different algorithms, GBDT algorithm was selected as the optimal algorithm for modeling of BLW and WLW. The datasets were divided into a 90 % sample for model derivation, with the remaining 10 % used for model validation. The models for both BLW and WLW datasets exhibited consistent performance between main and validation cohorts, with low error magnitudes and high relative accuracy (MAE: 1.8–2.5, MAPE: 2.55 %–18.41 %, R > 60 %), indicating robustness and generalizability to unseen data. Delving deeper, the SHAP summary plots illustrated that in the model for BLW, ***2, ***3, ***4, *** and parity had a significant impact on the prediction. In the WLW model, the key influencing factors were weaned litter size, duration of lactation, parity, and birth litter weight. SHAP force and dependence plots had uncovered intricate effects of various features on the model’s outcomes. To enhance accessibility, we developed a user-friendly visualization and prediction website using the Streamlit Python framework. These critical research findings provide decision-makers with invaluable insights, fostering advancements in precision feeding models and IoT technologies in the swine industry. Ultimately, this contributes to the overarching goal of enhancing the comprehensive sustainability of livestock farming.

关键词： Precision feeding Artificial intelligence Gradient boosted decision trees SHapley additive exPlanations Sow Reproductive performance

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