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Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

Plant Communications 2022年第6期3卷 135-173页

作者： Haiyu Tao Shan Xu Yongchao Tian Zhaofeng Li Yan Ge Jiaoping Zhang Yu Wang Guodong Zhou Xiong Deng Ze Zhang Yanfeng Ding Dong Jiang Qinghua Guo Shichao Jin Plant Phenomics Research Centre Academy for Advanced Interdisciplinary StudiesNational Engineering and Technology Center for Information AgricultureCollaborative Innovation Centre for Modern Crop Production co-sponsored by Province and MinistryNanjing Agricultural UniversityAddress:No.1 WeigangXuanwu DistrictNanjing 210095China The key laboratory of Oasis Eco-agriculture Xinjiang Production and Construction CorpsAgriculture CollegeShihezi UniversityShihezi 832003China Hainan Yazhou Bay Seed laboratory Sanya 572025China State key laboratory of crop Genetics and Germplasm Enhancement National Center for Soybean ImprovementKey Laboratory for Biology and Genetic Improvement of Soybean(GeneralMinistry of Agriculture)Nanjing Agricultural UniversityNanjing 210095China Sanya Research Institute of Nanjing agriculture University Sanya 572024China key laboratory of Plant Molecular physiology Institute of BotanyChinese Academy of SciencesBeijing 100093China Institute of ecology College of Urban and Environmental SciencePeking UniversityBeijing 100871China Jiangsu Provincial key laboratory of Geographic information Science and technology International Institute for Earth System SciencesNanjing UniversityNanjingJiangsu 210023China

Plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise ***-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of *** and remote sensing(PRS)techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and *** progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 *** progress covers most aspects of PRS application in PP,including patterns of global spatial distribution and temporal dynamics,specific PRS technologies,phenotypic research fields,working environments,species,and ***,we demonstrate how to link PRS to multi-omics studies,including how to achieve multi-dimensional PRS data acquisition and processing,how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance,and how to link PP to multi-omics association ***,we identify three future perspectives for PRS-based PP:(1)strengthening the spatial and temporal consistency of PRS data,(2)exploring novel phenotypic traits,and(3)facilitating multi-omics communication.

关键词： plant phenomics remote sensing phenotyping phenotypic traits multi-omics breeding precision cultivation

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A Resource for Inactivation of MicroRNAs Using Short Tandem Target Mimic technology in Model and crop Plants

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Molecular Plant 2018年第11期11卷 1400-1417页

作者： Ting Peng Mengmeng Qiao Haiping Liu Sachin Teotia Zhanhui Zhang Yafan Zhao Bobo Wang Dongjie Zhao Lina Shi Cui Zhang Brandon Le Kestrel Rogers Chathura Gunasekara Haitang Duan Yiyou Gu Lei Tian Jinfu Nie Jian Qi Fanrong Meng Lan Huang Qinghui Chen Zhenlin Wang Jinshan Tang Xiaoqing Tang Ting Lan Xuemei Chen Hairong Wei Quanzhi Zhao Guiliang Tang Collaborative Innovation center of Henan Grain crops Henan Agricultural UniversityZhengzhou 450002China College of information and Electrical engineering China Agricultural UniversityBeijing 100083China Department of Kinesiology and Integrative physiology Life Science and Technology institutedMichigan Technological UniversityHoughtonMI 49931USA School of technology Michigan Technological UniversityHoughtonMI 49931USA Guangdong Provincial key laboratory for Plant Epigenetics College of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060P.R.China Beijing Advanced Innovation center for Tree Breeding by Molecular Design Beijing Forestry UniversityBeijing 100083P.R.China key laboratory of Plant Stress Biology State Key Laboratory of Cotton BiologySchool of Life SciencesHenan UniversityKaifeng 475004China Department of Biotechnology Sharda UniversityGreater Noida201306India key laboratory of Rice Biology in Henan Province Henan Agricultural UniversityZhengzhou 450002China Department of Biological Sciences Ufe Science and Technology InstituteMichigan Technological UniversityHoughtonMI 49931USA Department of Botany and Plant Sciences Institute of Integrative Genome BiologyUniversity of CaliforniaRiversideCA 92521USA School of Forest Resources and Environmental Science Life Science and Technology InstituteMichigan Technological UniversityHoughtonMI 49931USA Department of Computer Science Michigan Technological UniversityHoughtonMI 49931USA Anhui Province key laboratory of Medical Physics and technology Center of Medical Physics and TechnologyHefei Institutes of Physical ScienceChinese Academy of SciencesHefeiAnhuiChina Hefei Cancer Hospital Chinese Academy of SciencesHefeiAnhuiChina Guangzhou Institute of Biomedicine and Health Chinese Academy of SciencesGuangzhouChina

microRNAs (miRNAs)are endogenous small non-coding RNAs that bind to mRNAs and target them for cleavage and/or translational repression,leading to gene *** previously developed short tandem target mimic (STTM)technology to deactivate endogenous miRNAs in ***,we created hundreds of STTMs that target both conserved and species-specific miRNAs in Arabidopsis,tomato,rice,and maize,providing a resource for the functional interrogation of *** not only revealed the functions of several miRNAs in plant development,but also demonstrated that tissue-specific inactivation of a few miRNAs in rice leads to an increase in grain size without adversely affecting overall plant growth and ***-seq and small RNAseq analyses of STTM156/157 and STTM165/166 transgenic plants revealed the roles of these miRNAs in plant hormone biosynthesis and activation,secondary metabolism,and ion-channel activity-associated electrophysiology,demonstrating that STTM technology is an effective approach for studying miRNA *** facilitate the study and application of STTM transgenic plants and to provide a useful platform for storing and sharing of information about miRNA-regulated gene networks,we have established an online Genome Browser (https://***/***) to display the transcriptomic and miRNAomic changes in STTMinduced miRNA knockdown plants.

关键词： short tandem target mimic (STTM) miRNA RNA-seq Arabidopsis crop

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Different developments of rice leaf and their response to nitrogen

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technology in Agronomy 2022年第1期2卷 9-17页

作者： Cambula D.Elidio Chao Ding Xuhui Zhu Gang Hua Li national engineering and technology center for information agriculture/key laboratory of crop physiology and ecology in Southern china/Jiangsu Collaborative Innovation center for Modern crop Production Nanjing Agricultural UniversityNanjing 210095China

The study evaluates and compares the leaf number(LN)of two rice types,Hybrid Indica(HI)and Japonica(J),and their response to three different nitrogen rates.A split plot experiment was conducted in Danyang District,Jiangsu Province in china,from 2017 to 2018 both rice growing *** was carried out using the Transplanting machine,and the spacing was 17 cm×30 cm.A split zone design was adopted,with three different levels of nitrogen:N0-0,N1-150 kg hm^(-2) and N2-300 kg hm^(-2).The areas were isolated with a brick wall to ensure that each main area drained *** appliance:tiller fertilizer:panicle fertilizer=4:3:3,P_(2)O_(5)-150 kg hm^(-2) were used as base fertilizer,Potassium chloride 300 kg hm^(-2):panicle fertilizer=5:*** rates(N)significantly influenced the LN of Hybrid Indica *** first year N0=15.5,N150=15.7,N300=15.9 and the second year N0=15.9,N150=16.3,N300=16.5 with a significant difference between both ***,Japonica rice cultivars were not as responsive to N as Hybrid Indica's *** Japonica LN on N0=16.2,N150=16,N300=16.8,and N0=16.4,N150=16.6,N300=16.5 for 2017 and 2018 respectively,with a significant difference in the first year only at *** results revealed that LN varies greatly among varieties,furthermore the nitrogen fertilizer and the year of the experiment played a major role on LN outcome.

关键词： cultivar panicle furthermore

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Engineered biochar improves nitrogen use efficiency via stabilizing soil water-stable macroaggregates and enhancing nitrogen transformation

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Biochar 2023年第1期5卷 891-927页

作者： Zaid Khan Xu-Jian Yang Youqiang Fu Stephen Joseph Mohammad Nauman Khan Muhammad Ayoub Khan Intikhab Alam Hong Shen College of Natural Resources and Environment South China Agricultural UniversityGuangzhou 510640China Rice Research Institute Guangdong Academy of Agricultural SciencesGuangzhou 510640China School of Material Science and engineering University of New South WalesSydneyNSW 2052Australia Research center for physiology and ecology and Green Cultivation of Tropical crops College of Tropical CropsHainan UniversityHaikou 570228China School of Life Sciences Henan UniversityKaifeng 450046China College of Life Sciences South China Agricultural UniversityGuangzhou 510640China

The use of inorganic nitrogen(N)fertilizers has increased drastically to meet the food requirements of the world’s growing ***,the excessive use of chemical nitrogen fertilizer has caused a series of soil and environmental problems,such as soil hardening,lower nitrogen use efficiency(NUE),nitrate pollution of water sources,nitrous oxide emissions,*** this review,we aimed to elaborate and discuss the role of engineered biochar in inducing the stability of water-stable macroaggregates,improving inorganic N transformation,and utilization efficiency to address the current uncertainties of nitrogen loss and maintaining soil and water ***,we elucidated the characteristics of engineered biochar in improving biochar quality to work as a multifunctional player in the ecosystem and promote resource utilization,soil conservation,and ecosystem ***,we discussed how the engineered biochar modulates the stability of water-stable macroaggregates and soil inorganic nitrogen transformation to enhance plant response under various toxic or deficient nitrogen conditions in the ***,the role of engineered biochar in biological nitrogen fixation,mediating nirK,nirS,and nosZ genes to promote the conversion of N_(2)O to N_(2),and decreasing denitrification and N_(2)O emission was ***,we suggest that engineered biochar amendment to soil can regulate soil water-stable macroaggregates,reduce N input,improve nitrogen metabolism,and finally,NUE and crop *** the best of our knowledge,this is the first time to evaluate the combined interactions of"engineered biochar×soil×NUE×crop growth,"providing advantages over the increasing N and water utilization and crop productivity separately with the aim of enhancing the stability of water-stable macroaggregates and NUE together on a sustainable basis.

关键词： Nitrogen Engineered biochar Macroaggregates Multifunctional player Nitrogen use efficiency

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ePlant for quantitative and predictive plant science research in the big data era --Lay the foundation for the future model guided crop breeding, engineering and agronomy

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Frontiers of Electrical and Electronic engineering in china 2017年第3期5卷 260-271页

作者： Yi Xiao Tiangen Chang Qingfeng Song Shuyue Wang Danny Tholen Yu Wang Changpeng xin Guangyong Zheng Honglong Zhao Xin-Guang Zhu Shanghai Institute of Plant physiology and ecology Chinese Academy of Sciences Shanghai 200032 China PlantSystems Biology Research Group Partner Institute for Computational Biology Chinese Academy of Sciences Shanghai 200031 China

Background： The increase in global population, climate change and stagnancy in crop yield on unit land area basis in recent decades urgently call for a new approach to support contemporary crop improvements, ePlant is a mathematical model of plant growth and development with a high level of mechanistic details to meet this challenge. Results： ePlant integrates modules developed for processes occurring at drastically different temporal （10-8-106 seconds） and spatial （10-10-10 meters） scales, incorporating diverse physical, biophysical and biochemical processes including gene regulation, metabolic reaction, substrate transport and diffusion, energy absorption, transfer and conversion, organ morphogenesis, plant environment interaction, etc. Individual modules are developed using a divide-and-conquer approach; modules at different temporal and spatial scales are integrated through transfer variables. We further propose a supervised learning procedure based on information geometry to combine model and data for both knowledge discovery and model extension or advances. We finally discuss the recent formation of a global consortium, which includes experts in plant biology, computer science, statistics, agronomy, phenomics, etc. aiming to expedite the development and application of ePlant or its equivalents by promoting a new model development paradigm where models are developed as a community effort instead of driven mainly by individual labs＇ effort. Conclusions： ePlant, as a major research tool to support quantitative and predictive plant science research, will play a crucial role in the future model guided crop engineering, breeding and agronomy.

关键词： systems modeling quantitative predictive homeostasis multiscale crop in silico

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crop adaptation to climate change:An evolutionary perspective

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Molecular Plant 2023年第10期16卷 1518-1546页

作者： Lexuan Gao Michael B.Kantar Dylan Moxley Daniel Ortiz-Barrientos Loren H.Rieseberg CAS center for Excellence in Molecular Plant Sciences Institute of Plant Physiology and EcologyChinese Academy of SciencesShanghai 200032China Department of Tropical Plant&Soil Sciences University of Hawaii at ManoaHonoluluHIUSA Department of Botany and Biodiversity Research Centre University of British ColumbiaVancouverBCCanada School of Biological Sciences and Australian Research Council Centre of Excellence for Plant Success in Nature and agriculture The University of QueenslandBrisbaneQLDAustralia

The disciplines of evolutionary biology and plant and animal breeding have been intertwined throughout their development,with responses to artificial selection yielding insights into the action of natural selection and evolutionary biology providing statistical and conceptual guidance for modern *** we offer an evolutionary perspective on a grand challenge of the 21st century:feeding humanity in the face of climate *** first highlight promising strategies currently under way to adapt crops to current and future climate *** include methods to match crop varieties with current and predicted environments and to optimize breeding goals,management practices,and crop microbiomes to enhance yield and sustainable *** also describe the promise of crop wild relatives and recent technological innovations such as speed breeding,genomic selection,and genome editing for improving environmental resilience of existing crop varieties or for developing new ***,we discuss how methods and theory from evolutionary biology can enhance these existing strategies and suggest novel *** focus initially on methods for reconstructing the evolutionary history of crops and their pests and symbionts,because such historical information provides an overall framework for crop-improvement *** then describe how evolutionary approaches can be used to detect and mitigate the accumulation of deleterious mutations in crop genomes,identify alleles and mutations that underlie adaptation(and maladaptation)to agricultural environments,mitigate evolutionary trade-offs,and improve critical *** feedback between the evolution and crop biology communities will ensure optimal design of strategies for adapting crops to climate change.

关键词： abiotic stress resistance climate change crop adaptation Darwinian agriculture evolutionary biology plant breeding

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The amazing potential of fungi:50 ways we can exploit fungi industrially

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Fungal Diversity 2019年第4期97卷 1-136页

作者： Kevin D.Hyde Jianchu Xu Sylvie Rapior Rajesh Jeewon Saisamorn Lumyong Allen Grace T.Niego Pranami D.Abeywickrama Janith V.S.Aluthmuhandiram Rashika S.Brahamanage Siraprapa Brooks Amornrat Chaiyasen K.W.Thilini Chethana Putarak Chomnunti Clara Chepkirui Boontiya Chuankid Nimali I.de Silva Mingkwan Doilom Craig Faulds Eleni Gentekaki Venkat Gopalan Pattana Kakumyan Dulanjalee Harishchandra Hridya Hemachandran Sinang Hongsanan Anuruddha Karunarathna Samantha C.Karunarathna Sehroon Khan Jaturong Kumla Ruvishika S.Jayawardena Jian-Kui Liu Ningguo Liu Thatsanee Luangharn Allan Patrick G.Macabeo Diana S.Marasinghe Dan Meeks Peter E.Mortimer Peter Mueller Sadia Nadir Karaba N.Nataraja Sureeporn Nontachaiyapoom Meghan O’Brien Watsana Penkhrue Chayanard Phukhamsakda Uma Shaanker Ramanan Achala R.Rathnayaka Resurreccion B.Sadaba Birthe Sandargo Binu C.Samarakoon Danushka S.Tennakoon Ramamoorthy Siva Wasan Sriprom T.S.Suryanarayanan Kanaporn Sujarit Nakarin Suwannarach Thitipone Suwunwong Benjarong Thongbai Naritsada Thongklang Deping Wei S.Nuwanthika Wijesinghe Jake Winiski Jiye Yan Erandi Yasanthika Marc Stadler key laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand World Agroforestry Centre East and Central AsiaKunming 650201YunnanPeople’s Republic of China Mushroom Research Foundation 128 M.3 Ban Pa Deng T.PaPaeA.Mae TaengChiang Mai 50150Thailand Aix Marseille Université INRAUMR1163 BBF13288 Marseille Cedex 09France Beijing key laboratory of Environment Friendly Management on Fruit Diseases and Pests in North china Center of Plant and Environment ProtectionBeijing Academy of Agriculture and Forestry SciencesBeijing 100097People’s Republic of China center of Chemical Innovation for Sustainability Mae Fah Luang UniversityTasudMuangChiang Rai 57100Thailand center of Excellence in Microbial Diversity and Sustainable Utilization Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand center for Mountain Ecosystem Studies Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanPeople’s Republic of China Institute of Fungal Research School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 611731People’s Republic of China Department Microbial Drugs Helmholtz Centre for Infection Researchand German Centre for Infection Research(DZIF)partner site Hannover-BraunschweigInhoffenstrasse 738124 BrunswickGermany Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Department of Chemistry and Biochemistry The Ohio State UniversityColumbusOH 43210USA Department of Chemistry University of Science and TechnologyBannuKhyber PakhtunkhwaPakistan Department of crop physiology University of Agricultural SciencesGKVKBengaluruKarnataka 560065India Department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai Univers

Fungi are an understudied,biotechnologically valuable group of *** to the immense range of habitats that fungi inhabit,and the consequent need to compete against a diverse array of other fungi,bacteria,and animals,fungi have developed numerous survival *** unique attributes of fungi thus herald great promise for their application in biotechnology and ***,fungi can be grown with relative ease,making production at scale *** search for fungal biodiversity,and the construction of a living fungi collection,both have incredible economic potential in locating organisms with novel industrial uses that will lead to novel *** manuscript reviews fifty ways in which fungi can potentially be utilized as *** provide notes and examples for each potential exploitation and give examples from our own work and the work of other notable *** also provide a flow chart that can be used to convince funding bodies of the importance of fungi for biotechnological research and as potential *** have provided the world with penicillin,lovastatin,and other globally significant medicines,and they remain an untapped resource with enormous industrial potential.

关键词： Biocontrol Biodiversity Biotechnology Food Fungi Mushrooms

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Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics

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Plant Phenomics 2022年第1期4卷 175-195页

作者： Xinbo Xue Shichao Jin Feng An Huaiqing Zhang Jiangchuan Fan Markus P.Eichhorn Chengye Jin Bangqian Chen Ling Jiang Ting Yun School of information Science and technology Nanjing Forestry UniversityNanjing 210037China Forestry College Nanjing Forestry UniversityNanjing 210037China Plant Phenomics Research Centre Academy for Advanced Interdisciplinary StudiesCollaborative Innovation Centre for Modern Crop Production Cosponsored by Province and MinistryNanjing Agricultural UniversityNanjing 210095China Chinese Academy of Tropical Agricultural Sciences Ministry of AgricultureRubber Research InstituteDanzhou Investigation and Experiment Station of Tropical CropsDanzhouChina Research Institute of Forestry Resource information Techniques Chinese Academy of ForestryBeijing 100091China national engineering Research center for information technology in agriculture Beijing 100097China School of Biological Earth and Environmental SciencesUniversity College CorkDistillery FieldsNorth MallCork T23 N73KIreland Environmental Research Institute University College CorkLee RoadCork T23 XE10Ireland

Forested environments feature a highly complex radiation regime,and solar radiation is hindered from penetrating into the forest by the 3D canopy structure;hence,canopy shortwave radiation varies spatiotemporally,seas... 详细信息

关键词： Forest forest hence

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Fungal diversity notes 1387-1511:taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2021年第6期111卷 1-335页

作者： Saranyaphat Boonmee Dhanushka N.Wanasinghe Mark S.Calabon Naruemon Huanraluek Sajini K.U.Chandrasiri Gareth E.B.Jones Walter Rossi Marco Leonardi Sanjay K.Singh Shiwali Rana Paras N.Singh Deepak K.Maurya Ajay C.Lagashetti Deepika Choudhary Yu-Cheng Dai Chang-Lin Zhao Yan-Hong Mu Hai-Sheng Yuan Shuang-Hui He Rungtiwa Phookamsak Hong-Bo Jiang María P.Martín Margarita Dueñas MTeresa Telleria Izabela L.Kałucka Andrzej M.Jagodziński Kare Liimatainen Diana S.Pereira Alan J.L.Phillips Nakarin Suwannarach Jaturong Kumla Surapong Khuna Saisamorn Lumyong Tarynn B.Potter Roger G.Shivas Adam H.Sparks Niloofar Vaghefi Mohamed A.Abdel-Wahab Faten A.Abdel-Aziz Guo-Jie Li Wen-Fei Lin Upendra Singh Rajendra P.Bhatt Hyang Burm Lee Thuong T.T.Nguyen Paul M.Kirk Arun Kumar Dutta Krishnendu Acharya VVenkateswara Sarma M.Niranjan Kunhiraman C.Rajeshkumar Nikhil Ashtekar Sneha Lad Nalin N.Wijayawardene Darbe J.Bhat Rong-Ju Xu Subodini N.Wijesinghe Hong-Wei Shen Zong-Long Luo Jing-Yi Zhang Phongeun Sysouphanthong Naritsada Thongklang Dan-Feng Bao Janith V.S.Aluthmuhandiram Jafar Abdollahzadeh Alireza Javadi Francesco Dovana Muhammad Usman Abdul Nasir Khalid Asha J.Dissanayake Anusha Telagathoti Maraike Probst Ursula Peintner Isaac Garrido-Benavent Lilla Bóna Zsolt Merényi Lajos Boros Bratek Zoltán JBenjamin Stielow Ning Jiang Cheng-Ming Tian Esmaeil Shams Farzaneh Dehghanizadeh Adel Pordel Mohammad Javan-Nikkhah Teodor T.Denchev Cvetomir M.Denchev Martin Kemler Dominik Begerow Chun-Ying Deng Emma Harrower Tohir Bozorov Tutigul Kholmuradova Yusufjon Gafforov Aziz Abdurazakov Jian-Chu Xu Peter E.Mortimer Guang-Cong Ren Rajesh Jeewon Sajeewa S.N.Maharachchikumbura Chayanard Phukhamsakda Ausana Mapook Kevin D.Hyde center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand CAS key laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China CIFOR-ICRAF china Program World Agroforestry(ICRAF)Kunming 650201YunnanPeople’s Republic of China Honghe center for Mountain Futures Kunming Institute of BotanyHonghe CountyKunming 654400YunnanPeople’s Republic of China Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia Section Environmental Sciences Department MeSVAUniversity of L’Aquila67100 CoppitoAQItaly national Fungal Culture Collection of India(NFCCI) Biodiversity and Palaeobiology GroupMACS Agharkar Research InstituteG.G.Agarkar RoadPune 411004India Institute of Microbiology School of Ecology and Nature ConservationBeijing Forestry UniversityBeijing 100083People’s Republic of China College of Biodiversity Conservation Southwest Forestry UniversityKunming 650224People’s Republic of China CAS key laboratory of Forest ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110164People’s Republic of China University of the Chinese Academy of Sciences Beijing 100049People’s Republic of China Centre for Mountain Futures(CMF) Kunming Institute of BotanyKunming 650201YunnanPeople’s Republic of China Department of Mycology Real Jardín Botánico-CSICPlaza de Murillo 228014 MadridSpain Department of Algology and Mycology Faculty of Biology and Environmental ProtectionUniversity of LodzBanacha 12/1690-237ŁódźPoland Institute of Dendrology Polish Academy of SciencesParkowa 562-035 KórnikPoland Jodrell laboratory Royal Botanic GardensKewRichmond TW93DSSurreyUK Faculdade de Ciências Biosystems and Integrative Sciences Institute(BioISI)Universidade de LisboaCampo Grande1749-016 LisbonPortugal Dep

This article is the 13th contribution in the Fungal Diversity Notes series,wherein 125 taxa from four phyla,ten classes,31 orders,69 families,92 genera and three genera incertae sedis are treated,demonstrating worldwide and geographic *** taxa described and illustrated in the present study include three new genera,69 new species,one new com-bination,one reference specimen and 51 new records on new hosts and new geographical *** new genera,Cylindrotorula(Torulaceae),Scolecoleotia(Leotiales genus incertae sedis)and Xenovaginatispora(Lindomycetaceae)are introduced based on distinct phylogenetic lineages and unique *** described species are Aspergillus lan-naensis,Cercophora dulciaquae,Cladophialophora aquatica,Coprinellus punjabensis,Cortinarius alutarius,***-latus,***,Coryneum fagi,Cruentomycena uttarakhandina,Cryptocoryneum rosae,Cyathus uniperidiolus,Cylindrotorula indica,Diaporthe chamaeropicola,Didymella azollae,Diplodia alanphillipsii,Dothiora coronicola,Efibula rodriguezarmasiae,Erysiphe salicicola,Fusarium queenslandicum,Geastrum gorgonicum,***,Helicosporium sexualis,Helminthosporium chiangraiensis,Hongkongmyces kokensis,Hydrophilomyces hydraenae,Hygrocybe boertmannii,Hyphoderma australosetigerum,Hyphodontia yunnanensis,Khaleijomyces umikazeana,Laboulbenia divisa,Laboulbenia triarthronis,Laccaria populina,Lactarius pallidozonarius,Lepidosphaeria strobelii,Longipedicellata megafusiformis,Lophiotrema lincangensis,Marasmius benghalensis,***,***,Mariannaea camelliae,Mel-anographium smilaxii,Microbotryum polycnemoides,Mimeomyces digitatus,Minutisphaera thailandensis,Mortierella solitaria,Mucor harpali,Nigrograna jinghongensis,Odontia huanrenensis,***,Paraconiothyrium ajrekarii,Par-afuscosporella niloticus,Phaeocytostroma yomensis,Phaeoisaria synnematicus,Phanerochaete hainanensis,Pleopunctum thailandicum,Pleurotheciella dimorphospora,Pseudochaetosphaeronema

关键词： 72 new taxa One new combination One reference specimen 51 new records Agaricomycetes Ascomycota Bartheletiomycetes Basidiomycota Dothideomycetes Eurotiomycetes Exobasidiomycetes Laboulbeniomycetes Leotiomycetes Mortierellomycetes Mortierellomycota Mucoromycetes Mucoromycota Phylogeny Sordariomycetes Taxonomy

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Spatial Analysis of the Soil Carbon Sequestration Potential of crop-residue Return in china Based on Model Simulation

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Journal of Resources and ecology 2019年第2期10卷 184-195页

作者： CHEN Jinghua WANG Shaoqiang XU Xiyan SUN Leigang key laboratory of Ecosystem Network Observation and Modelling Institute of Geographic Sciences and Natural Resources Research Beijing 100101China College of Resources and Environment University of Chinese Academy of Sciences Beijing 100049 China School of Geography and information engineering China University of Geosciences Wuhan 430074 China Ecosystems Services and Management Program International Institute for Applied Systems Analysis Laxenburg A-2361 Austria key laboratory of Regional Climate-Environment for East Asia Institute of Atmospheric Physics Beijing 100029 China Hebei engineering Research center for Geographic information Application Institute of Geographical Sciences Hebei Academy of SciencesShijiazhuang 050011 China

crop-residue return is a recommended practice for soil and nutrient management and is important in soil organic carbon(SOC)sequestration and CO2 *** applied a process-based Environmental Policy Integrated Climate(EPIC)model to simulate the spatial pattern of topsoil organic carbon changes from 2001 to 2010under 4 crop-residue return scenarios in *** carbon loss(28.89 Tg yr–1)with all crop-residue removal(CR0%)was partly reduced by 22.38 Tg C yr–1 under the status quo CR30%(30% of crop-residue return).The topsoil in cropland of china would become a net carbon sink if the crop-residue return rate was increased from 30%to 50%,or even 75%.The national SOC sequestration potential of cropland was estimated to be 25.53 Tg C yr–1 in CR50%and 52.85 Tg C yr–1 in CR75%,but with high spatial variability across *** highest rate of SOC sequestration potential in density occurred in Northwest and North china while the lowest was in East *** in North china tended to have stronger regional SOC sequestration potential in *** the decade,the reduced CO2 emissions from enhanced topsoil carbon in CR50%and CR75% were equivalent to 1.4% and 2.9%of the total CO2 emissions from fossil fuels and cement production in china,*** conclusion,we recommend encouraging farmers to return crop-residue instead of burning in order to improve soil properties and alleviate atmospheric CO2 rises,especially in North china.

关键词： cropland crop-residue return soil carbon sequestration spatial pattern EPIC model

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