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Dietary supplementation with Neolamarckia cadamba leaf extract improves broiler meat quality by enhancing antioxidant capacity and regulating metabolites

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Animal Nutrition 2024年第02期17卷 358-372页

作者： Cheng Wang Dandan Chen Shou Wu Wei Zhou Xiaoyang Chen Qing Zhang Li Wang State Key Laboratory of Swine and Poultry Breeding Industry Key Laboratory of Animal Nutrition and Feed Science in South ChinaMinistry of Agriculture and Rural AffairsGuangdong Provincial Key Laboratory of Animal Breeding and NutritionMaoming BranchGuangdong Laboratory for Lingnan Modern AgricultureInstitute of Animal ScienceGuangdong Academy of Agricultural Sciences College of Forestry and Landscape Architecture Guangdong Province Research Center of Woody Forage Engineering TechnologyGuangdong Research and Development Center of Modern Agriculture (Woody Forage) Industrial TechnologyGuangdong Key Laboratory for Innovative Development and Utilization of Forest Plant GermplasmState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresourcesSouth China Agricultural University

This study was to evaluate the effect of supplementing the diet of broilers with Neolamarckia cadamba leaf extract(NCLE) on meat quality by evaluating antioxidant parameters and the expression of genes in the p38 mitogen-activated protein kinase/nuclear factor-erythroid 2-related factor 2/antioxidant responsive element(p38 MAPK/Nrf2/ARE) signaling pathway, coupled with LC-MS-based metabolomic analysis. A total of 480 one-day-old male broilers were randomly allocated to four treatment groups—a control(CON)group, which was fed a basal diet, and three NCLE treatment groups, which were fed the basal diet supplemented with 100, 200, or 400 mg/kg NCLE(N1, N2, and N3 groups, respectively) for 42 d. Compared with the CON group, meat quality was improved in the N2 and N3 groups, as evidenced by the higher p H45min(P < 0.05) and lower shear force(P < 0.05) in breast muscle(BM) and lower drip loss at48 h(P < 0.05) in leg muscle(LM). Moreover, BM antioxidant capacity was significantly enhanced in the N3group, characterized by an increase in the total antioxidant capacity(T-AOC), the concentrations of glutathione peroxidase(GSH-Px) and catalase(CAT), and the relative mRNA expression of p38 MAPK,extracellular-signal regulated kinase 1/2(ERK1/2), c-Jun N-terminal kinase(JNK), Nrf2, CAT, and GSH-Px(P < 0.05). Similarly, LM in the N3 group displayed higher T-AOC, increased GSH-Px and CAT concentrations,reduced malonaldehyde contents(P < 0.05), and upregulation of the relative mRNA levels of JNK, Nrf2,heme oxygenase, CAT, and superoxide dismutase(SOD)(P < 0.05). Metabolomics analysis revealed that Darabinono-1,4-lactone and lyso-PAF C-16-d4 were negatively correlated with shear force and cooking loss(P < 0.05) and displayed increased abundance in BM of the N3 group. L-Serine levels were upregulated while D-fructose 1,6-diphosphate contents were downregulated in the three NCLE groups. Finally, the differential metabolites in both BM and LM were involved in amino acid metabolism pathwa

关键词： Neolamarckia cadamba leaf extract Broiler Meat quality Antioxidant capacity Metabolomics

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Simulation and forecasting of fishery weather based on statistical machine learning

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Information Processing in agriculture 2024年第1期11卷 127-142页

作者： Xueqian Fu Chunyu Zhang Fuhao Chang Lingling Han Xiaolong Zhao Zhengjie Wang Qiaoyu Ma National Innovation center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research center for Internet of Things in agriculture BeijingChina College of Information and Electrical Engineering China Agricultural UniversityBeijingChina

As the new generation of artificial intelligence(AI)continues to evolve,weather big data and statistical machine learning(SML)technologies complement each other and are deeply integrated to significantly improve the processing and forecasting accuracy of fishery *** fishery weather services play a crucial role in fishery production,serving as a great safeguard for economic benefits and personal safety,enabling fishermen to carry out fishery production better,and contributing to the sustainable development of the fishery *** objective of this paper is to offer an understanding of the present state of research and development in SML technology for simulating and forecasting fishery ***,we analyze the current state of research and technical features of SML in weather and summarize the applications of SML in simulation and forecasting of fishery weather,which mainly include three aspects:fishery weather scenario generation,fishery weather forecasting,and fishery extreme weather *** also illustrate the main technical means and principles of SML ***,we summarize the most advanced SML fields and provide an outlook on their application value in the field of fishery weather.

关键词： Fishery weather Statistical machine learning Weather generation Weather forecasting Extreme weather warning

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Crop pest image recognition based on the improved ViT method Author links open overlay panel

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Information Processing in agriculture 2024年第2期11卷 249-259页

作者： Xueqian Fu Qiaoyu Ma Feifei Yang Chunyu Zhang Xiaolong Zhao Fuhao Chang Lingling Han College of Information and Electrical Engineering China Agricultural UniversityBeijingChina National Innovation center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research center for Internet of Things in agriculture BeijingChina

The crop pests and diseases in agriculture is one of the most important reason for the reduction of bulk grain and oil crops and the decline of fruit and vegetable crop quality,which threaten macroeconomic stability and sustainable ***,the recognition method based on manual and instruments has been unable to meet the needs of scientific research and production due to its strong subjectivity and low *** recognition method based on pattern recognition and deep learning can automatically fit image features,and use features to classify and predict *** study introduced the improved Vision Transformer(ViT)method for crop pest image *** them,the region with the most obvious features can be effectively selected by block *** self-attention mechanism of the transformer can better excavate the special solution that is not an obvious lesion *** the experiment,data with 7 classes of examples are used for *** can be illustrated from results that this method has high accuracy and can give full play to the advantages of image processing and recognition technology,accurately judge the crop diseases and pests category,provide method reference for agricultural diseases and pests identification research,and further optimize the crop diseases and pests control work for agricultural workers in need.

关键词： Crop diseases recognition Fruit tree leaf disease Vision Transformer Deep learning Computer Vision

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Comparison of three models for winter wheat yield prediction based on UAV hyperspectral images

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International Journal of Agricultural and Biological Engineering 2024年第2期17卷 260-267页

作者： Xiaobin Xu Cong Teng Hongchun Zhu Haikuan Feng Yu Zhao Zhenhai Li College of Geodesy and Geomatics Shandong University of Science and TechnologyQingdao 266590ShandongChina Key Laboratory of Quantitative Remote Sensing in Ministry of agriculture and rural Affairs Information Technology Research CenterBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China

Predicting crop yield timely can considerably accelerate agricultural production management and food policy-making,which are also important requirements for precise agricultural *** the development of hyperspectral imaging technology,a simple and efficient modeling method is convenient for predicting crop yield by using airborne hyperspectral *** this study,the Unmanned Aerial Vehicle(UAV)hyperspectral and maturity yield data in 2014-2015 and 2017-2018 were *** winter wheat yield prediction model was established by optimizing Vegetation Indices(VIs)feature scales and sample scales,incorporating Partial Least Squares Regression(PLSR),Random Forest algorithm(RF),and Back Propagation Neural Network algorithm(BPN).Results showed that PLSR stands out as the optimal wheat yield prediction model considering stability and accuracy(RMSE=948.88 kg/hm2).Contrary to the belief that more input features result in higher accuracy,PLSR,RF,and BPN models performed best when trained with the top 3,8,and 4 VIs with the highest correlation,*** an increase in training samples,model accuracy improves,reaching stability when the training samples reach *** PLSR and optimal feature scales,UAV yield prediction maps were generated,holding significant value for field management in precision agriculture.

关键词： hyperspectral imagery unmanned aerial vehicle winter wheat yield prediction model remote sensing

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Lactiplantibacillus plantarum FRT4 attenuates high-energy low-protein dietinduced fatty liver hemorrhage syndrome in laying hens through regulating gut-liver axis

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Journal of Animal Science and Biotechnology 2024年第3期15卷 1292-1311页

作者： Daojie Li Hongying Cai Guohua Liu Yunsheng Han Kai Qiu Weiwei Liu Kun Meng Peilong Yang Key Laboratory of Feed Biotechnology of Ministry of agriculture and rural Affairs Institute of Feed ResearchChinese Academy of Agricultural SciencesBeijing 100081China National Engineering Research center of Biological Feed Beijing 100081China

Background Fatty liver hemorrhage syndrome(FLHS)becomes one of the most major factors resulting in the laying hen death for caged egg *** study aimed to investigate the therapeutic effects of Lactiplantibacillus plan-tarum(***)FRT4 on FLHS model in laying hen with a focus on liver lipid metabolism,and gut *** The FLHS model of laying hens was established by feeding a high-energy low-protein(HELP)diet,and the treatment groups were fed a HELP diet supplemented with differential proportions of *** *** results indicated that *** FRT4 increased laying rate,and reduced the liver lipid accumulation by regulating lipid metabolism(lipid synthesis and transport)and improving the gut microbiota ***,***-tarum FRT4 regulated the liver glycerophospholipid ***,“gut-liver”axis analysis showed that there was a correlation between gut microbiota and lipid *** The results indicated that *** FRT4 improved the laying performance and alleviated FLHS in HELP diet-induced laying hens through regulating“gut-liver”*** findings reveal that glycerophospholipid metabolism could be the underlying mechanism for the anti-FLHS effect of *** FRT4 and for future use of *** FRT4 as an excellent additive for the prevention and mitigation of FLHS in laying hens.

关键词： Fatty liver hemorrhage syndrome Gut microbiota Lactiplantibacillus plantarum FRT4 Laying hens Lipid metabolism

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Progress and industrialization development trends of the anaerobic digestion technologies for bio-natural gas

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International Journal of Agricultural and Biological Engineering 2024年第4期17卷 1-12页

作者： Hongguang Zhu Fulu Lu Fanghui Pan School of Mechanical Engineering Tongji UniversityShanghai 201804China Bio-Energy Research center Institute of New Rural DevelopmentTongji UniversityShanghai 201804China

The production of bio-natural gas through anaerobic digestion not only realize the resource utilization and harmless treatment of urban and rural organic wastes,but also reduce the emission of methane and carbon ***,as an independently industry,bio-natural gas has some prominent challenges compared to household biogas and small-scale biogas *** the healthy development of the bio-natural gas industry,system analysis and planning have become particularly *** study reviews the current development status of the bio-natural gas industry and innovatively analyzes the development direction of industry from a multidimensional *** opinions are provided based on system *** major technological breakthroughs that have supported the success of regional bio-natural gas industry are *** completeness of industrial technology,the objectivity of industrial regional development and the inevitability of the comprehensive benefits of the industrial chain are the major development direction of the bio-natural ***,according to the three major demands of new energy fuel,electricity and energy storage,two new energy systems based on bio-natural gas and the synergistic development of multiple new energy sources are *** study provides theoretical and practical guidance for the bio-natural gas industry.

关键词： bio-natural gas anaerobic digestion technological progress industrialization sustainable development

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Greenhouse gas emissions mitigation and economic viability of sugar crops in China

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Frontiers of Agricultural Science and Engineering 2024年第3期11卷 397-408,I0004页

作者： Linsheng YANG Xiaozhong WANG Wushuai ZHANG Prakash LAKSHMANAN Yan DENG Xiaojun SHI Xinping CHEN Fusuo ZHANG Interdisciplinary Research center for agriculture Green development in Yangtze River Basin College of Resources and EnvironmentSouthwest UniversityChongqing 400716China Key Laboratory of Low-carbon Green agriculture in Southwestern China(Ministry of agriculture and rural Affairs) Southwest UniversityChongqing 400716China Rice Research Institute Anhui Academy of Agricultural SciencesHefei 230031China Key Laboratory of Sugarcane Biotechnology and Genetic Improvement(Guangxi) Ministry of Agriculture and Rural AffairsGuangxi Key Laboratory of Sugarcane Genetic ImprovementGuangxi Academy of Agricultural SciencesSugarcane Research InstituteGuangxi Academy of Agricultural SciencesNanning 530007China center for Resources Environment and Food SecurityChina Agricultural UniversityBeijing 100193China

Climate change mitigation is a major challenge of human ***,to this end,many countries including China are committed to achieving carbon neutrality within a few *** is a major sugarcane and sugar beet producing country and has one of the largest carbon footprint for sugarcane and sugar beet production globally.A comprehensive study was conducted on sugarcane and sugar beet crops grown in China for greenhouse gas(GHG)emissions mitigation potential,economic crop production from a sustainable sugar production ***-term trend analysis showed that yield and GHG emissions of sugarcane and sugar beet crops increased but the ratio of income to cost *** equation model analysis revealed nitrogen fertilizer and labor as the major drivers of GHG emissions for both sugarcane and sugar *** sugarcane and sugar beet,the path coefficient of N fertilizer were‒0.964 and‒0.835 and that of labor were 0.771 and 0.589,*** transitioning the current cropping system to an improved model with optimized labor,N input and machinery use,the GHG emissions and total annual cost of sugarcane and sugar beet production can be reduced by 32%and 24%,respectively,by 2030,compared to a business-as-usual *** is the first integrated and comparative study of environmental and economic sustainability of sugarcane and sugar beet production in *** findings will enable all stakeholders of Chinese sugarcane and sugar beet industries to transform them into environmentally and economically sustainable sugar production.

关键词： Economic profits GHG emissions labor input nitrogen input sugar

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MXenes/CNTs-based hybrids:Fabrications,mechanisms,and modification strategies for energy and environmental applications

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Nano Research 2024年第5期17卷 3429-3454页

作者： Jizhou Jiang Fangyi Li Lei Ding Chengxun Zhang Arramel Xin Li School of Environmental Ecology and Biological Engineering School of Chemistry and Environmental EngineeringKey Laboratory of Green Chemical Engineering Process of Ministry of EducationEngineering Research Center of Phosphorus Resources Development and Utilization of Ministry of EducationNovel Catalytic Materials of Hubei Engineering Research CenterWuhan Institute of TechnologyWuhan 430205China Nano center Indonesia Jl.PUSPIPTEK Tangerang SelatanBanten 15314Indonesia Institute of Biomass Engineering Key Laboratory of Energy Plants Resource and UtilizationMinistry of Agriculture and Rural AffairsSouth China Agricultural UniversityGuangzhou 510642China

Emerging two-dimensional(2D)layered metal carbide and nitride materials,commonly termed MXenes,are increasingly recognized for their applications across diverse fields such as energy,environment,and *** the past few years,MXenes/carbon nanotubes(CNTs)-based hybrids have attracted extensive attention as an important catalyst in energy and environmental fields,due to their superior multifunctions and mechanical *** review aims to address the fabrication strategies,the identification of the enhancement mechanisms,and recent progress regarding the design and modification of MXenes/CNTs-based hybrids.A myriad of fabrication techniques have been systematically summarized,including mechanical mixing,spray drying,three-dimensional(3D)printing,self-assembly/in-situ growth,freeze drying,templating,hydrothermal methods,chemical vapor deposition(CVD),and ***,the identification of the enhancement mechanisms was thoroughly discussed from the two dimensions of theoretical simulations and in-situ ***,the recent advancements in profound applications of MXenes/CNTs-based hybrids have also been carefully revealed,including energy storage devices,sensors,water purification systems,and microwave *** also underscore anticipated challenges related to their fabrication,structure,underlying mechanisms,modification approaches,and emergent ***,this review offers insights into prospective directions and the future trajectory for these promising *** is expected that this review can inspire new ideas or provide new research methods for future studies.

关键词： MXenes/carbon nanotubes(CNTs)-based hybrids fabrication applications modification strategies

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Problem identification and revitalization strategies for the recovery and reconstruction of traditional villages in the Ms 6.8 Luding Earthquake

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Journal of Mountain Science 2024年第2期21卷 361-379页

作者： HUANG Chao QIU Jian LIU Chun JIANG Rui ZHAO Chuanrong ZHANG Yi School of Architecture and Research center of Space Planning and Engineering Design Southwest Jiaotong UniversityChengdu 611756China Sichuan Provincial rural Construction and development center Chengdu 610041China Sichuan Institute of Urban and rural Construction Chengdu 610043China China Association for Promoting Democracy(CAPD)Sichuan Provincial Committee Chengdu 610016China Sichuan Provincial Architectural Design and Research Institute(SADI) Chengdu 610095China

Post-disaster reconstruction is a topic of global concern,and traditional villages have special heritage attributes and need to face more requirements and obstacles in post-disaster *** paper summarizes four concepts based on the research on post-disaster reconstruction both domestically and internationally,as well as the recovery and reconstruction of cultural *** a field survey of traditional villages in the Ms 6.8 Luding earthquake-stricken area,it is found that there are problems such as insufficient awareness of heritage value,misalignment of scientific reconstruction technology,and insufficient protection of reconstruction elements during the reconstruction *** villages face the risk of declining or even loss of heritage *** order to effectively protect traditional villages and inherit the carrier of regional culture,four targeted reconstruction response strategies are proposed,i.e.,to"establish special planning for traditional village preservation","emphasize recovery of the authenticity of village heritage","ensure elements for village heritage recovery"and"promote the activation and utilization of village heritage",based on the problems discovered during the survey and the four concepts summarized in the research on post-disaster reconstruction of traditional *** research results hope to provide useful reference for ancient cultural areas affected by earthquakes on how to protect cultural heritage during the post-disaster reconstruction process.

关键词： Seismic hazard Decision making Traditional village Cultural heritage protection Post-earthquake recovery and reconstruction Revitalization strategy

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Grain Yield,Biomass Accumulation,and Leaf Photosynthetic Characteristics of Rice under Combined Salinity-Drought Stress

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Rice science 2024年第1期31卷 118-128,I0023页

作者： WEI Huanhe GENG Xiaoyu ZHANG Xiang ZHU Wang ZHANG Xubin CHEN Yinglong HUO Zhongyang ZHOU Guisheng MENG Tianyao DAI Qigen Jiangsu Key Laboratory of Crop Cultivation and Physiology/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation center for Modern Production Technology of Grain Crops/Key Laboratory of Saline-Alkali Soil Reclamation and Utilization in Coastal Areas the Ministry of Agriculture and Rural Affairs of China/Research Institute of Rice Industrial Engineering TechnologyYangzhou UniversityYangzhou 225009China Institute of Agricultural Science and Technology development/Joint International Research Laboratory of agriculture and Agri-Product Safety the Ministry of Education of ChinaYangzhou UniversityYangzhou 225009China

Simultaneous stresses of salinity and drought often coincide during rice-growing seasons in saline lands,primarily due to insufficient water resources and inadequate irrigation ***,combined salinity-drought stress poses a major threat to rice *** this study,two salinity levels(NS,non-salinity;HS,high salinity)along with three drought treatments(CC,control condition;DJ,drought stress imposed at jointing;DH,drought stress imposed at heading)were performed to investigate their combined influences on leaf photosynthetic characteristics,biomass accumulation,and rice yield ***,drought,and their combination led to a shortened growth period from heading to maturity,resulting in a reduced overall growth *** yield was reduced under both salinity and drought stress,with a more substantial reduction under the combined salinity-drought *** combined stress imposed at heading caused greater yield losses in rice compared with the stress imposed at ***,the combined salinity-drought stress induced greater decreases in shoot biomass accumulation from heading to maturity,as well as in shoot biomass and nonstructural carbohydrate(NSC)content in the stem at heading and ***,it increased the harvest index and NSC remobilization *** and drought reduced the leaf area index and SPAD value of flag leaves and weakened the leaf photosynthetic characteristics as indicated by lower photosynthetic rates,transpiration rates,and stomatal *** reductions were more pronounced under the combined ***,drought,and especially their combination,decreased the activities of ascorbate peroxidase,catalase,and superoxide dismutase,while increasing the contents of malondialdehyde,hydrogen peroxide,and superoxide *** results indicated a more significant yield loss in rice when subjected to combined salinity-drought *** individual and combined stresses of salinity and dro

关键词： antioxidant defense system combined salinity-drought stress drought stress photosynthetic characteristics rice salinity stress

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