[Spatial distribution characteristics of China cotton fiber quality and climatic factors based on GIS].
Identifieur interne : 000197 ( PubMed/Corpus ); précédent : 000196; suivant : 000198[Spatial distribution characteristics of China cotton fiber quality and climatic factors based on GIS].
Auteurs : Zong-Wei Xiong ; Sheng-Hao Gu ; Li-Li Mao ; Xue-Jiao Wang ; Li-Zhen Zhang ; Zhi-Guo ZhouSource :
- Ying yong sheng tai xue bao = The journal of applied ecology [ 1001-9332 ] ; 2012.
English descriptors
- KwdEn :
- MESH :
- geographic : China.
- growth & development : Gossypium.
- Climate, Cotton Fiber, Ecosystem, Geographic Information Systems, Meteorological Concepts, Quality Control.
Abstract
By using geographical information system (GIS), the cotton fiber quality data from 2005 to 2011 and the daily meteorological data from 1981 to 2010 at 82 sites (counties and cities) in China major cotton production regions were collected and treated with spatial interpolation. The spatial information system of cotton fiber quality in China major cotton production regions was established based on GIS, and the spatial distribution characteristics of the cotton fiber quality and their relationships with the local climatic factors were analyzed. In the northwest region (especially Xinjiang) of China, due to the abundant sunlight, low precipitation, and low relative humidity, the cotton fiber length, micronaire, and grade ranked the first. In the Yangtze River region and Yellow River region, the specific strength of cotton fiber was higher, and in the Yangtze River region, the cotton fiber length and specific strength were higher, while the micronaire and grade were lower than those in the Yellow River region. The cotton fiber quality was closely related to the climate factors such as temperature, sunlight, rainfall, and humidity.
PubMed: 23479881
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pubmed:23479881Le document en format XML
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The spatial information system of cotton fiber quality in China major cotton production regions was established based on GIS, and the spatial distribution characteristics of the cotton fiber quality and their relationships with the local climatic factors were analyzed. In the northwest region (especially Xinjiang) of China, due to the abundant sunlight, low precipitation, and low relative humidity, the cotton fiber length, micronaire, and grade ranked the first. In the Yangtze River region and Yellow River region, the specific strength of cotton fiber was higher, and in the Yangtze River region, the cotton fiber length and specific strength were higher, while the micronaire and grade were lower than those in the Yellow River region. The cotton fiber quality was closely related to the climate factors such as temperature, sunlight, rainfall, and humidity.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23479881</PMID><DateCreated><Year>2013</Year><Month>03</Month><Day>13</Day></DateCreated><DateCompleted><Year>2014</Year><Month>06</Month><Day>24</Day></DateCompleted><DateRevised><Year>2016</Year><Month>10</Month><Day>18</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1001-9332</ISSN><JournalIssue CitedMedium="Print"><Volume>23</Volume><Issue>12</Issue><PubDate><Year>2012</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Ying yong sheng tai xue bao = The journal of applied ecology</Title><ISOAbbreviation>Ying Yong Sheng Tai Xue Bao</ISOAbbreviation></Journal><ArticleTitle>[Spatial distribution characteristics of China cotton fiber quality and climatic factors based on GIS].</ArticleTitle><Pagination><MedlinePgn>3385-92</MedlinePgn></Pagination><Abstract><AbstractText>By using geographical information system (GIS), the cotton fiber quality data from 2005 to 2011 and the daily meteorological data from 1981 to 2010 at 82 sites (counties and cities) in China major cotton production regions were collected and treated with spatial interpolation. The spatial information system of cotton fiber quality in China major cotton production regions was established based on GIS, and the spatial distribution characteristics of the cotton fiber quality and their relationships with the local climatic factors were analyzed. In the northwest region (especially Xinjiang) of China, due to the abundant sunlight, low precipitation, and low relative humidity, the cotton fiber length, micronaire, and grade ranked the first. In the Yangtze River region and Yellow River region, the specific strength of cotton fiber was higher, and in the Yangtze River region, the cotton fiber length and specific strength were higher, while the micronaire and grade were lower than those in the Yellow River region. The cotton fiber quality was closely related to the climate factors such as temperature, sunlight, rainfall, and humidity.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Xiong</LastName><ForeName>Zong-Wei</ForeName><Initials>ZW</Initials><AffiliationInfo><Affiliation>Ministry of Agriculture Key Laboratory of Crop Growth Regulation, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China. xiongzongwei@cfi.gov.cn</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gu</LastName><ForeName>Sheng-Hao</ForeName><Initials>SH</Initials></Author><Author ValidYN="Y"><LastName>Mao</LastName><ForeName>Li-Li</ForeName><Initials>LL</Initials></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Xue-Jiao</ForeName><Initials>XJ</Initials></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Li-Zhen</ForeName><Initials>LZ</Initials></Author><Author ValidYN="Y"><LastName>Zhou</LastName><ForeName>Zhi-Guo</ForeName><Initials>ZG</Initials></Author></AuthorList><Language>chi</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>China</Country><MedlineTA>Ying Yong Sheng Tai Xue Bao</MedlineTA><NlmUniqueID>9425159</NlmUniqueID><ISSNLinking>1001-9332</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002980" MajorTopicYN="N">Climate</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032561" MajorTopicYN="Y">Cotton Fiber</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="Y">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040362" MajorTopicYN="N">Geographic Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003368" MajorTopicYN="Y">Gossypium</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008685" MajorTopicYN="Y">Meteorological Concepts</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011786" MajorTopicYN="N">Quality Control</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>3</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>3</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>6</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23479881</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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