Prediction of nitrogen release from sigmoid-type controlled release fertilizers in greenhouse production of strawberry and cucumber
Dear Editor,The increased demand for economic and environmental benefits with the application of controlled release fertilizers（CRFs）has prompted the need for simple and viable prediction of controlled nitrogen release（CNR）.Sigmoid pattern CRFs（SCRFs）has different release mechanisms and coating proc...
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| Veröffentlicht in: | Science China. Life sciences 2017-09, Vol.60 (9), p.1051-1054 |
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| container_title | Science China. Life sciences |
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| creator | Xiao, Qiang Fan, Xiaohui Ni, Xiaohui Li, Lixia Xu, Xinpeng Yi, Wenping |
| description | Dear Editor,The increased demand for economic and environmental benefits with the application of controlled release fertilizers（CRFs）has prompted the need for simple and viable prediction of controlled nitrogen release（CNR）.Sigmoid pattern CRFs（SCRFs）has different release mechanisms and coating processes from parabolic pattern CRFs（PCRFs）.The CNR rate of an SCRF can be very slow at low temperatures;much more time is needed to release the same quantity of nutrients as conventional fertilizers. |
| doi_str_mv | 10.1007/s11427-016-9078-3 |
| format | Article |
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Life sciences, 2017-09, Vol.60 (9), p.1051-1054</ispartof><rights>Science China Press and Springer-Verlag GmbH Germany 2017</rights><rights>Science China Life Sciences is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-50a4de415c7a64c8d546289cd17b0a566777b9f0e13f1cb27dcdb77893f753113</citedby><cites>FETCH-LOGICAL-c399t-50a4de415c7a64c8d546289cd17b0a566777b9f0e13f1cb27dcdb77893f753113</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/60112X/60112X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11427-016-9078-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11427-016-9078-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28801858$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xiao, Qiang</creatorcontrib><creatorcontrib>Fan, Xiaohui</creatorcontrib><creatorcontrib>Ni, Xiaohui</creatorcontrib><creatorcontrib>Li, Lixia</creatorcontrib><creatorcontrib>Xu, Xinpeng</creatorcontrib><creatorcontrib>Yi, Wenping</creatorcontrib><title>Prediction of nitrogen release from sigmoid-type controlled release fertilizers in greenhouse production of strawberry and cucumber</title><title>Science China. Life sciences</title><addtitle>Sci. China Life Sci</addtitle><addtitle>Sci China Life Sci</addtitle><description>Dear Editor,The increased demand for economic and environmental benefits with the application of controlled release fertilizers（CRFs）has prompted the need for simple and viable prediction of controlled nitrogen release（CNR）.Sigmoid pattern CRFs（SCRFs）has different release mechanisms and coating processes from parabolic pattern CRFs（PCRFs）.The CNR rate of an SCRF can be very slow at low temperatures;much more time is needed to release the same quantity of nutrients as conventional fertilizers.</description><subject>Agriculture - methods</subject><subject>Algorithms</subject><subject>Biomass</subject><subject>Biomedical and Life Sciences</subject><subject>Controlled release</subject><subject>Cucumis sativus - growth & development</subject><subject>Environment, Controlled</subject><subject>Fertilizers</subject><subject>Fragaria - growth & development</subject><subject>Letter to the Editor</subject><subject>Life Sciences</subject><subject>Models, Theoretical</subject><subject>Nitrogen - metabolism</subject><subject>Time Factors</subject><subject>控释肥料</subject><subject>氮素释放</subject><subject>温室生产</subject><subject>环境效益</subject><subject>经济效益</subject><subject>草莓</subject><subject>预测</subject><subject>黄瓜</subject><issn>1674-7305</issn><issn>1869-1889</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU9v1DAQxSMEolXpB-CCLLhwCXjs2OMcUVX-SJXgAOcosSepq8Te2onQcuWL42qXBXHAF9ua33vzpFdVz4G_Ac7xbQZoBNYcdN1yNLV8VJ2D0W0NxrSPy1tjU6Pk6qy6zPmOlyMlF4hPqzNhDAejzHn180si5-3qY2BxZMGvKU4UWKKZ-kxsTHFh2U9L9K5e9ztiNobCzDO5PxCl1c_-B6XMfGBTIgq3cSuTXYpuO7nnNfXfB0ppz_rgmN3stpTvs-rJ2M-ZLo_3RfXt_fXXq4_1zecPn67e3dRWtu1aK943jhpQFnvdWONUo4VprQMceK-0RsShHTmBHMEOAp11A6Jp5YhKAsiL6vXBt6S63yiv3eKzpXnuA5W0HbTCKJAaeUFf_YPexS2Fkq5QUqFoGiUKBQfKpphzorHbJb_0ad8B7x5K6g4ldaWk7qGkThbNi6PzNizkTorflRRAHIBcRmGi9Nfq_7i-PCa5jWG6L7qTsUYJQhkB8helVqn7</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Xiao, Qiang</creator><creator>Fan, Xiaohui</creator><creator>Ni, Xiaohui</creator><creator>Li, Lixia</creator><creator>Xu, Xinpeng</creator><creator>Yi, Wenping</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20170901</creationdate><title>Prediction of nitrogen release from sigmoid-type controlled release fertilizers in greenhouse production of strawberry and cucumber</title><author>Xiao, Qiang ; Fan, Xiaohui ; Ni, Xiaohui ; Li, Lixia ; Xu, Xinpeng ; Yi, Wenping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-50a4de415c7a64c8d546289cd17b0a566777b9f0e13f1cb27dcdb77893f753113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Agriculture - methods</topic><topic>Algorithms</topic><topic>Biomass</topic><topic>Biomedical and Life Sciences</topic><topic>Controlled release</topic><topic>Cucumis sativus - growth & development</topic><topic>Environment, Controlled</topic><topic>Fertilizers</topic><topic>Fragaria - growth & development</topic><topic>Letter to the Editor</topic><topic>Life Sciences</topic><topic>Models, Theoretical</topic><topic>Nitrogen - metabolism</topic><topic>Time Factors</topic><topic>控释肥料</topic><topic>氮素释放</topic><topic>温室生产</topic><topic>环境效益</topic><topic>经济效益</topic><topic>草莓</topic><topic>预测</topic><topic>黄瓜</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiao, Qiang</creatorcontrib><creatorcontrib>Fan, Xiaohui</creatorcontrib><creatorcontrib>Ni, Xiaohui</creatorcontrib><creatorcontrib>Li, Lixia</creatorcontrib><creatorcontrib>Xu, Xinpeng</creatorcontrib><creatorcontrib>Yi, Wenping</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Science China. 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China Life Sci</stitle><addtitle>Sci China Life Sci</addtitle><date>2017-09-01</date><risdate>2017</risdate><volume>60</volume><issue>9</issue><spage>1051</spage><epage>1054</epage><pages>1051-1054</pages><issn>1674-7305</issn><eissn>1869-1889</eissn><abstract>Dear Editor,The increased demand for economic and environmental benefits with the application of controlled release fertilizers（CRFs）has prompted the need for simple and viable prediction of controlled nitrogen release（CNR）.Sigmoid pattern CRFs（SCRFs）has different release mechanisms and coating processes from parabolic pattern CRFs（PCRFs）.The CNR rate of an SCRF can be very slow at low temperatures;much more time is needed to release the same quantity of nutrients as conventional fertilizers.</abstract><cop>Beijing</cop><pub>Science China Press</pub><pmid>28801858</pmid><doi>10.1007/s11427-016-9078-3</doi><tpages>4</tpages></addata></record> |
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| ispartof | Science China. Life sciences, 2017-09, Vol.60 (9), p.1051-1054 |
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| source | MEDLINE; SpringerNature Journals; Alma/SFX Local Collection |
| subjects | Agriculture - methods Algorithms Biomass Biomedical and Life Sciences Controlled release Cucumis sativus - growth & development Environment, Controlled Fertilizers Fragaria - growth & development Letter to the Editor Life Sciences Models, Theoretical Nitrogen - metabolism Time Factors 控释肥料 氮素释放 温室生产 环境效益 经济效益 草莓 预测 黄瓜 |
| title | Prediction of nitrogen release from sigmoid-type controlled release fertilizers in greenhouse production of strawberry and cucumber |
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