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Changes in Leaf Stomatal Properties in Rice with the Growing Season

Phyton-International Journal of Experimental Botany 2024年第4期93卷 807-817页

作者： Jiana Chen Fangbo Cao Min Huang Rice and product Ecophysiology Key Laboratory of Ministry of Education for Crop Physiology and Molecular BiologyHunan Agricultural UniversityChangsha410128China National Engineering Research Center of Rice Hunan Agricultural UniversityChangsha410128China

Transplanting rice varieties grown in different seasons can lead to different yields due to different dry matterproduction. Early-season rice varieties transplanted in the late season can obtain high yields with short-growthduration and higher yields driven by higher dry matter production. To make clear the variations in dry matterproduction across seasons, four early-season rice varieties were chosen for late-season transplantation. The grainyield, dry matter accumulation, leaf photosynthetic, and leaf stomatal properties were studied. It was observedthat the average yields of these four varieties in the late season were 33% greater, despite a reduced growth periodof 13 days in comparison with the early season. Furthermore, there was a notable increase in both total and postheadingdry matter production during the late season. The leaf net photosynthetic rate, stomatal area, stomatalwidth, and stomatal length were higher in the late season. Despite no significant difference in stomatal densitybetween seasons, strong positive linear relationships were observed between net photosynthetic rate and stomatalconductance, and between stomatal conductance and area. These relationships demonstrate that the increase ofthe stomatal width and length of the leaves in the late season leads to an increase in the stomatal area, therebyincreasing the stomatal conductance and enhancing the photosynthesis of the leaves. Consequently, this leads togreater dry matter production and a higher yield compared to the early season. Therefore, when breeding newhigh-yielding and short-growing varieties, the large stomatal area can be used as a reference index.

关键词： Photosynthesis rice stomatal properties season yield

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Sodium butyrate alleviates fructose-induced non-alcoholic fatty liver disease by remodeling gut microbiota to promoteγ-amino butyric acid production

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Food Science and Human Wellness 2024年第2期13卷 961-971页

作者： Qu Chen Lei Wu Aijia Zhang Chen Wu Liuping Cai Yingping Xiao Yingdong Ni Key Laboratory of Animal physiology and Biochemistry Ministry of Agriculture and Rural AffairsNanjing Agricultural UniversityNanjing 210095China State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Institute of Agro-product Safety and NutritionZhejiang Academy of Agricultural SciencesHangzhou 310022China

Sodium butyrate(NaB)can regulate lipid metabolism and inhibit hepatic *** study aimed to investigate whether NaB can alleviate fructose-induced hepat ic steatosis via remodeling the gut microbiota and evaluate the anti-fatty liver *** results showed that NaB and NaB-remodeled gut microbiota significantly alleviated fructose-induced hepatic steatosis and increased plasma uric acid and fructose ***,both NaB and NaB-remodeled gut microbiota increased the abundance of Lactobacillus and altered the levels of plasma amino acids(upregulating gamma-amino butyric acid(GABA)and downregulating L-glutamic acid and L-arginine)in fructose-exposed *** correlation analysis showed that GABA levels positively correlated with Lactobacillus abundance,and increased GABA levels might promote the reduction of the hepatic triglyceride *** studies confirmed that GABA significantly reduced lipid deposition in mouse hepatocytes induced via fructose pretreatment in *** findings suggested that NaB could ameliorate fructose-induced hepatic steatosis by regulating gut microbiota.

关键词： Butyrate Fructose Gut microbiota Hepatic steatosis

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One-time application of controlled-release bulk blending fertilizer enhances yield, quality and photosynthetic efficiency in late japonica rice

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Journal of Integrative Agriculture 2024年第11期23卷 3672-3691页

作者： Canping Dun Rui Wang Kailiang Mi Yuting Zhang Haipeng Zhang Peiyuan Cui Yanle Guo Hao Lu Hongcheng Zhang Key Laboratory of Crop Genetics and physiology of Jiangsu Province/Co-Innovation Center for Modern production Technology of Grain Crops of Jiangsu Province Yangzhou University College of horticulture and Landscape Architecture Jinling Institute of Technology

Controlled-release urea （CRU） releases nitrogen （N） at the same pace that rice takes it up,which can effectively improve N use efficiency,increase rice yield and improve rice ***,few studies have described the effects of CRU application on the photosynthetic rate and endogenous enzyme activities of ***,a twoyear field trial was conducted with a total of seven treatments:CK,no N fertilizer;BBF,regular blended fertilizer;RBBF,20%N-reduced regular blended fertilizer;CRF1,70%CRU+30%regular urea one-time base application;CRF2,60%CRU+40%regular urea one-time base application;RCRF1,CRF1 treatment with 20%N reduction;and RCRF2,CRF2 treatment with 20%N *** treatment was conducted in *** results showed that the N recovery efficiency （NRE） of the controlled-release bulk blending fertilizer （CRBBF） treatments was significantly greater over the two *** were significant yield increases of 4.1–5.9%under the CRF1treatment and 5.6–7.6%under the CRF2 treatment compared to the BBF treatment,but the differences between the reduced-N treatments RBBF and RCRF2 were not *** rates under the CRF1 and CRF2treatments were significantly higher than under the other treatments,and they had significantly greater RuBPCase,RuBisCO,glutamate synthase （GOGAT） and glutamine synthetase （GS） enzyme ***,the soil NH4+-N and NO3–-N contents under the CRBBF treatments were significantly higher at the late growth stage of rice,which was more in-line with the fertilizer requirements of rice throughout the reproductive *** also led to some improvement in rice *** with the BBF and RBBF treatments,the protein contents under the CRBBF treatments were reduced but the milling,appearance,eating and cooking qualities of the rice were *** results showed that the application of CRBBF can improve the NRE,photosynthetic rate and endogenous enzyme activities of rice,ensuring sufficient N nutri

关键词： controlled-release bulk blending fertilizer yield quality photosynthetic rate endogenous enzyme activity

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Transcriptome and Metabolome Analysis Revealed that Lignin Biosynthesis Contributed to Build the Defence Responses of Bayberry(Myrica rubra) Against Twig Blight

Transcriptome and Metabolome Analysis Revealed that Lignin B...

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中国植物病理学会2024年学术年会

作者： GUO Junning LI Gang YU Zheping LI Bin REN Haiying Institute of Biotechnology Zhejiang University Institute of horticulture Institute of Agro-product Safety and NutritionZhejiang Academy of Agricultural Sciences

Twig blight,a highly destructive disease primarily caused by Pestalotiopsis versicolor,harms bayberry plantations and ***,the molecular and regulatory defence responses to twig blight remains ***,we inoculated a susceptible cultivar bayberry variety with *** XJ27 and documented the bayberry *** inoculation,the bayberry disease index rose ***,we conducted integrative transcriptome and metabolome analyses to elucidate the key genes and secondary metabolites changes in susceptible bayberry *** results revealed a notable increase in the expression of genes and metabolites related to phenylpropanoid metabolism,particularly lignin biosynthesis,after pathogen infection.A total of 9588 DEGs were identified in the present study,and seven of those had candidate structural genes(PAL,4 CL,HCT,COMT,CAD,CCR,and CCoAOMT) that were specifically related to lignin biosynthesis in bayberry ***,seven upregulated DAMS,L-phenylalanine,coniferin,p-coumaric acid,cinnamaldehyde,eleutheroside B,ferulaldehyde,and isoeugenol,were enriched in the phenylpropanoid biosynthesis *** observations suggested a potential role for lignin biosynthesis in bayberry defence responses to twig *** further support this hypothesis,quantitative real-time PCR analysis confirmed higher expression levels of pivotal lignin synthesis genes in infected *** also reinforced the conclusion that lignin metabolism enhanced bayberry defence by reporting an increase in total lignin content in infected *** summary,our findings provide valuable insights into the defence responses to bayberry twig blight.

关键词： Myrica rubra Twig blight Transcriptome Metabolome Defence responses Lignin biosynthesis

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Predicted Climate Change will Increase Landslide Risk in Hanjiang River Basin,China

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Journal of Earth Science 2024年第4期35卷 1334-1354页

作者： Xinggang Tang Lingjian Wang Huiyong Wang Yingdan Yuan Dou Huang Jinchi Zhang Co-Innovation Center for Sustainable Forestry in Southern China Jiangsu Province Key Laboratory of Soil and Water Conservation and Ecological RestorationNanjing Forestry UniversityNanjing210037China Jiangsu Key Laboratory of Crop Genetics and physiology College of Horticulture and Plant ProtectionYangzhou UniversityYangzhou225009China College of Forestry Nanjing Forestry UniversityNanjing210037China

Landslides are widespread geomorphological phenomena with complex mechanisms that have caused extensive causalities and property damage *** scale and frequency of landslides are presently increasing owing to the warming effects of climate change,which further increases the associated safety *** this study,the relationship between historical landslides and environmental variables in the Hanjiang River Basin was determined and an optimized model was used to constrain the relative contribution of variables and best spatial response *** optimal MaxEnt model was used to predict the current distribution of landslides and influence of future rainfall changes on the landslide *** results indicate that environmental variables in the study area statistically correlate with landslide events over the past 20 *** MaxEnt model evaluation was applied to landslide hazards in the Hanjiang River Basin based on current climate change *** results indicate that 25.9%of the study area is classified as a high-risk *** main environmental variables that affect the distribution of landslides include altitude,slope,normalized difference vegetation index,annual precipitation,distance from rivers,and distance from roads,with a cumulative contribution rate of approximately 90%.The annual rainfall in the Hanjiang River Basin will continue to increase under future climate warming *** rainfall will further increase the extent of high-and medium-risk areas in the basin,especially when following the RCP8.5 climate prediction,which is expected to increase the high-risk area by 10.7%by ***,high landslide risk areas in the basin will migrate to high-altitude areas in the future,which poses new challenges for the prevention and control of landslide *** study demonstrates the usefulness of the MaxEnt model as a tool for landslide susceptibility prediction in the Hanjiang River Basin caused by global warming and yi

关键词： Hanjiang River Basin climate change environmental factor landslide susceptibility assessment MaxEnt model

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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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Time-Aware LSTM Neural Networks for Dynamic Personalized Recommendation on Business Intelligence

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Tsinghua Science and Technology 2024年第1期29卷 185-196页

作者： Xuan Yang James A.Esquivel Graduate School Angeles University FoundationAngeles City 2009Philippines Shandong Provincial University Laboratory for Protected horticulture Weifang University of Science and TechnologyWeifang 262700China

Personalized recommendation plays a critical role in providing decision-making support for product and service analysis in the field of business ***,deep neural network-based sequential recommendation models gained considerable ***,existing approaches pay litle attention to users'dynamically evolving interests,which are influenced by product attributes,especially product *** overcome these challenges,we propose a dynamic personalized recommendation model:***,we first embed product information and attribute information into a unified data ***,we exploit long short-term memory(LsTM)networks to characterize sequential behavior over multiple time periods and seize evolving interests by hierarchical LSTM ***,similarity values between users are measured through pairwise interest features,and personalized recommendation lists are generated.A series of experiments reveal the superiority of the proposed method compared withotheradvanced methods.

关键词： personalized recommendations evolving interests embedding LsTM networks

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Geographical origin identification of winter jujube(Ziziphus jujuba Dongzao')by using multi-element fingerprinting with chemometrics

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Journal of Integrative Agriculture 2024年第5期23卷 1749-1762页

作者： Xiabing Kong Qiusheng Chen Min Xu Yihui Liu Xiaoming Li Lingxi Han Qiang Zhang Haoliang Wan Lu Liu Xubo Zhao Jiyun Nie College of horticulture Qingdao Agricultural University/Laboratory of Quality&Safety Risk Assessment for Fruit(Qingdao)Ministry of Agriculture and Rural Affairs/National Technology Centre for Whole Process Quality Control of FSEN Horticultural Products(Qingdao)/Qingdao Key Lab of Modern Agriculture Quality and Safety EngineeringQingdao 266109China Institute of Agricultural product Quality Safety and NutritionTianjin Academy of Agricultural SciencesTianjin 300381China College of Food Science and Engineering Northwest A&F UniversityYangling 712100China

Winter jujube(Ziziphus jujuba'Dongzao')is greatly appreciated by consumers for its excellent quality,but brand infringement frequently occurs in the ***,we first determined a total of 38 elements in 167 winter jujube samples from the main winter jujube producing areas of China by inductively coupled plasma mass spectrometer(ICP-MS).As a result,16 elements(Mg,K,Mn,Cu,Zn,Mo,Ba,Be,As,Se,Cd,Sb,Ce,Er,Tl,and Pb)exhibited significant differences in samples from different producing *** linear discriminant analysis(LDA)and orthogonal projection to latent structures discriminant analysis(OPLS-DA)showed better performance in identifying the origin of samples than unsupervised principal component analysis(PCA).LDA and OPLS-DA had a mean identification accuracy of 87.84 and 94.64%in the testing set,*** using the multilayer perceptron(MLP)and C5.0,the prediction accuracy of the models could reach 96.36 and 91.06%,*** on the above four chemometric methods,Cd,Tl,Mo and Se were selected as the main variables and principal markers for the origin identification of winter ***,this study demonstrates that it is practical and precise to identify the origin of winter jujube through multi-element fingerprint analysis with chemometrics,and may also provide reference for establishing the origin traceability system of other fruits.

关键词： winter jujube multi-element fingerprint analysis chemometrics origin traceability

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High Dimension Multivariate Data Analysis for Small Group Samples of Chemical Volatile Profiles of African Nightshade Species

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Journal of Data Analysis and Information Processing 2024年第2期12卷 210-231页

作者： Lorna Chepkemoi Daisy Salifu Lucy Kananu Murungi Henri E. Z. Tonnang International Centre of Insect physiology and Ecology (ICIPE) Nairobi Kenya Department of horticulture and Food Security Jomo Kenyatta University of Agriculture and Technology (JKUAT) Nairobi Kenya

Quantitative headspace analysis of volatiles emitted by plants or any other living organisms in chemical ecology studies generates large multidimensional data that require extensive mining and refining to extract useful information. More often the number of variables and the quantified volatile compounds exceed the number of observations or samples and hence many traditional statistical analysis methods become inefficient. Here, we employed machine learning algorithm, random forest (RF) in combination with distance-based procedure, similarity percentage (SIMPER) as preprocessing steps to reduce the data dimensionality in the chemical profiles of volatiles from three African nightshade plant species before subjecting the data to non-metric multidimensional scaling (NMDS). In addition, non-parametric methods namely permutational multivariate analysis of variance (PERMANOVA) and analysis of similarities (ANOSIM) were applied to test hypothesis of differences among the African nightshade species based on the volatiles profiles and ascertain the patterns revealed by NMDS plots. Our results revealed that there were significant differences among the African nightshade species when the data’s dimension was reduced using RF variable importance and SIMPER, as also supported by NMDS plots that showed S. scabrum being separated from S. villosum and S. sarrachoides based on the reduced data variables. The novelty of our work is on the merits of using data reduction techniques to successfully reveal differences in groups which could have otherwise not been the case if the analysis were performed on the entire original data matrix characterized by small samples. The R code used in the analysis has been shared herein for interested researchers to customise it for their own data of similar nature.

关键词： Random Forest Similarity Percentage PERMANOVA ANOSIM Non-Metric Multi-Dimensional Scaling

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Auxin-brassinosteroid crosstalk:Regulating rice plant architecture and grain shape

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The Crop Journal 2024年第4期12卷 953-963页

作者： Meidi Wu Jing Zhou Qian Li Dunfan Quan Qingwen Wang Yong Gao Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genetics and physiology Yangzhou UniversityYangzhou 225009JiangsuChina Jiangsu Co-Innovation Center for Modern production Technology of Grain Crops Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of EducationYangzhou UniversityYangzhou 225009JiangsuChina

Rice(Oryza sativa)plant architecture and grain shape,which determine grain quality and yield,are modulatedby auxin and brassinosteroid via regulation of cell elongation and *** review the signaltransduction of these h... 详细信息

关键词： Auxin Brassinosteroid Auxin-brassinosteroid crosstalk Plant architecture Grain shape

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