Knowledge Management System of Kunming Institute of Botany,CAS
Climate-Fungal Pathogen Modeling Predicts Loss of Up to One-Third of Tea Growing Areas | |
Tibpromma,Saowaluck; Dong,Yang; Ranjitkar,Sailesh; Schaefer,Douglas A.; Karunarathna,Samantha C.; Hyde,Kevin D.; Jayawardena,Ruvishika S.; Manawasinghe,Ishara S.; Bebber,Daniel P.; Promputtha,Itthayakorn; Xu,Jianchu![]() | |
2021 | |
Source Publication | FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
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ISSN | 2235-2988 |
Volume | 11Pages:610567 |
Abstract | Climate change will affect numerous crops in the future; however, perennial crops, such as tea, are particularly vulnerable. Climate change will also strongly influence fungal pathogens. Here, we predict how future climatic conditions will impact tea and its associated pathogens. We collected data on the three most important fungal pathogens of tea (Colletotrichum acutatum, Co. camelliae, and Exobasidium vexans) and then modeled distributions of tea and these fungal pathogens using current and projected climates. The models show that baseline tea-growing areas will become unsuitable for Camellia sinensis var. sinensis (15 to 32% loss) and C. sinensis var. assamica (32 to 34% loss) by 2050. Although new areas will become more suitable for tea cultivation, existing and potentially new fungal pathogens will present challenges in these areas, and they are already under other land-use regimes. In addition, future climatic scenarios suitable range of fungal species and tea suitable cultivation (respectively in CSS and CSA) growing areas are Co. acutatum (44.30%; 31.05%), Co. camelliae (13.10%; 10.70%), and E. vexans (10.20%; 11.90%). Protecting global tea cultivation requires innovative approaches that consider fungal genomics as part and parcel of plant pathology. |
Keyword | Camellia sinensis climate change crop loss fungal diseases perennial crops BROWN BLIGHT DISEASE CAMELLIA-SINENSIS COLLETOTRICHUM-ACUTATUM 1ST REPORT EXOBASIDIUM-VEXANS YUNNAN PROVINCE PLANT GLOEOSPORIOIDES PESTS LEAF |
DOI | 10.3389/fcimb.2021.610567 |
WOS ID | WOS:000649661000001 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.kib.ac.cn/handle/151853/73396 |
Collection | 中国科学院昆明植物研究所 |
Affiliation | 1.[Tibpromma, Saowaluck; Schaefer, Douglas A.; Karunarathna, Samantha C.; Hyde, Kevin D.; Xu, Jianchu; Mortimer, Peter E.] Chinese Acad Sci, Kunming Inst Bot, CAS Key Lab Plant Divers & Biogeog East Asia, Kunming, Yunnan, Peoples R China 2.World Agroforestry Ctr, East & Cent Asia, Kunming, Yunnan, Peoples R China 3.Kunming Inst Bot, Ctr Mt Futures, Kunming, Yunnan, Peoples R China 4.Yunnan Agr Univ, State Key Lab Conservat & Utilizat Bioresources Y, Kunming, Yunnan, Peoples R China 5.Yunnan Res Inst Local Plateau Agr & Ind, Kunming, Yunnan, Peoples R China 6.N Gene Solut Nat Innovat, Kathmandu, Nepal 7.Hyde, Kevin D.; Jayawardena, Ruvishika S.; Manawasinghe, Ishara S.] Mae Fah Luang Univ, Ctr Excellence Fungal Res, Chiang Rai, Thailand 8.Bebber, Daniel P.] Univ Exeter, Dept Biosci, Exeter, Devon, England 9.Chiang Mai Univ, Fac Sci, Dept Biol, Chiang Mai, Thailand 10.Chiang Mai Univ, Res Ctr Bioresources Agr Ind & Med, Chiang Mai, Thailand 11.Yunnan Agr Univ, Minist Educ, Key Lab Agrobiodivers & Pest Control, Kunming, Yunnan, Peoples R China |
Recommended Citation GB/T 7714 | Tibpromma,Saowaluck,Dong,Yang,Ranjitkar,Sailesh,et al. Climate-Fungal Pathogen Modeling Predicts Loss of Up to One-Third of Tea Growing Areas[J]. FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY,2021,11:610567. |
APA | Tibpromma,Saowaluck.,Dong,Yang.,Ranjitkar,Sailesh.,Schaefer,Douglas A..,Karunarathna,Samantha C..,...&Sheng,Jun.(2021).Climate-Fungal Pathogen Modeling Predicts Loss of Up to One-Third of Tea Growing Areas.FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY,11,610567. |
MLA | Tibpromma,Saowaluck,et al."Climate-Fungal Pathogen Modeling Predicts Loss of Up to One-Third of Tea Growing Areas".FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY 11(2021):610567. |
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