Broadband Spectral Reflectance Models of Turfgrass Species and Cultivars to Drought Stress
The objective of this study was to assess canopy broadband spectral reflectance for turfgrasses under drought stress. Optimum turf quality (TQ) and leaf firing (LF) models were developed and compared based on two, three, and five wavelength bands. Sods of bermudagrass (Cynodon dactylon L. x C. trans...
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| Veröffentlicht in: | Crop science 2007-07, Vol.47 (4), p.1611-1618 |
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| description | The objective of this study was to assess canopy broadband spectral reflectance for turfgrasses under drought stress. Optimum turf quality (TQ) and leaf firing (LF) models were developed and compared based on two, three, and five wavelength bands. Sods of bermudagrass (Cynodon dactylon L. x C. transvaalensis Burtt-Davy), seashore paspalum (Paspalum vaginatum Swartz), zoysiagrass (Zoysia japonica Steud.), and St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze], and seeded tall fescue (Festuca arundinacea Schreb.) were used in this study with three cultivars each of bermudagrass, seashore paspalum, and tall fescue. Traditional vegetation indices (VIs) based on two bands within 660 to 950 nm were not as sensitive as three to five broadband models using a wider band range of 660 to 1480 nm. Optimum models were cultivar specific models, even within a species. The broadband wavelength at R900 and R1200 should be considered in drought sensitive spectral models since they were most often observed and exhibited high partial R2 values. These results suggest that mobile broadband spectral devices to map turfgrass responses to drought stress would benefit by the availability of three to five broadbands that could be user selected for optimum, cultivar specific models. |
| doi_str_mv | 10.2135/cropsci2006.09.0617 |
| format | Article |
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Optimum turf quality (TQ) and leaf firing (LF) models were developed and compared based on two, three, and five wavelength bands. Sods of bermudagrass (Cynodon dactylon L. x C. transvaalensis Burtt-Davy), seashore paspalum (Paspalum vaginatum Swartz), zoysiagrass (Zoysia japonica Steud.), and St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze], and seeded tall fescue (Festuca arundinacea Schreb.) were used in this study with three cultivars each of bermudagrass, seashore paspalum, and tall fescue. Traditional vegetation indices (VIs) based on two bands within 660 to 950 nm were not as sensitive as three to five broadband models using a wider band range of 660 to 1480 nm. Optimum models were cultivar specific models, even within a species. The broadband wavelength at R900 and R1200 should be considered in drought sensitive spectral models since they were most often observed and exhibited high partial R2 values. These results suggest that mobile broadband spectral devices to map turfgrass responses to drought stress would benefit by the availability of three to five broadbands that could be user selected for optimum, cultivar specific models.</description><identifier>ISSN: 0011-183X</identifier><identifier>EISSN: 1435-0653</identifier><identifier>DOI: 10.2135/cropsci2006.09.0617</identifier><identifier>CODEN: CRPSAY</identifier><language>eng</language><publisher>Madison, WI: Crop Science Society of America</publisher><subject>Agronomy. Soil science and plant productions ; appearance (quality) ; Biological and medical sciences ; Crops ; Cultivars ; Drought ; Fundamental and applied biological sciences. Psychology ; Genetics and breeding of economic plants ; Genotype & phenotype ; Geographic information systems ; Grasses ; lawns and turf ; Management decisions ; Moisture content ; plant damage ; Plant growth ; Reflectance ; species differences ; spectral analysis ; Turf ; turf grasses ; turf quality ; Turfgrasses ; Varietal selection. Specialized plant breeding, plant breeding aims ; water stress</subject><ispartof>Crop science, 2007-07, Vol.47 (4), p.1611-1618</ispartof><rights>Crop Science Society of America</rights><rights>2007 INIST-CNRS</rights><rights>Copyright American Society of Agronomy Jul/Aug 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4277-8e9979d9d772843614d3a27a596c0e63190143e7727f801f3ac9b879381233ea3</citedby><cites>FETCH-LOGICAL-c4277-8e9979d9d772843614d3a27a596c0e63190143e7727f801f3ac9b879381233ea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.2135%2Fcropsci2006.09.0617$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2135%2Fcropsci2006.09.0617$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18997303$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiang, Y</creatorcontrib><creatorcontrib>Carrow, R.N</creatorcontrib><title>Broadband Spectral Reflectance Models of Turfgrass Species and Cultivars to Drought Stress</title><title>Crop science</title><description>The objective of this study was to assess canopy broadband spectral reflectance for turfgrasses under drought stress. Optimum turf quality (TQ) and leaf firing (LF) models were developed and compared based on two, three, and five wavelength bands. Sods of bermudagrass (Cynodon dactylon L. x C. transvaalensis Burtt-Davy), seashore paspalum (Paspalum vaginatum Swartz), zoysiagrass (Zoysia japonica Steud.), and St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze], and seeded tall fescue (Festuca arundinacea Schreb.) were used in this study with three cultivars each of bermudagrass, seashore paspalum, and tall fescue. Traditional vegetation indices (VIs) based on two bands within 660 to 950 nm were not as sensitive as three to five broadband models using a wider band range of 660 to 1480 nm. Optimum models were cultivar specific models, even within a species. The broadband wavelength at R900 and R1200 should be considered in drought sensitive spectral models since they were most often observed and exhibited high partial R2 values. These results suggest that mobile broadband spectral devices to map turfgrass responses to drought stress would benefit by the availability of three to five broadbands that could be user selected for optimum, cultivar specific models.</description><subject>Agronomy. Soil science and plant productions</subject><subject>appearance (quality)</subject><subject>Biological and medical sciences</subject><subject>Crops</subject><subject>Cultivars</subject><subject>Drought</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genetics and breeding of economic plants</subject><subject>Genotype & phenotype</subject><subject>Geographic information systems</subject><subject>Grasses</subject><subject>lawns and turf</subject><subject>Management decisions</subject><subject>Moisture content</subject><subject>plant damage</subject><subject>Plant growth</subject><subject>Reflectance</subject><subject>species differences</subject><subject>spectral analysis</subject><subject>Turf</subject><subject>turf grasses</subject><subject>turf quality</subject><subject>Turfgrasses</subject><subject>Varietal selection. Specialized plant breeding, plant breeding aims</subject><subject>water stress</subject><issn>0011-183X</issn><issn>1435-0653</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkM1OGzEUha2qSE0DT8CiVqUuJ732zfhn2Q6kIIFAGZAQG8vM2OmgaRzsGSreHodEapesfGV_5xzfQ8gxgxlnWH5vYtikpuMAYgZ6BoLJD2TC5lgWIEr8SCYAjBVM4d0n8jmlRwCQWpYTcv8zBts-2HVL641rhmh7unS-z6NdN45ehtb1iQZPb8boV9Gm9AZ2LtGtqBr7oXu2MdEh0JMYxtXvgdZDdCkdkgNv--SO9ueU3C5Ob6qz4uLq13n146Jo5lzKQjmtpW51KyVXcxRs3qLl0pZaNOAEMg15EZdfpVfAPNpGPyipUTGO6CxOyded7yaGp9GlwTyGMa5zpOGMl7oUSmYId1CuKqXovNnE7o-NL4aB2XZo_uvQgDbbDrPq297apsb2PuZOuvRPqvLXETBzix33t-vdy3usTVVXvFpeXdfV-fYe9D7wy87I22DsKuaw25oDQwCFTAiFrwbykKQ</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Jiang, Y</creator><creator>Carrow, R.N</creator><general>Crop Science Society of America</general><general>American Society of Agronomy</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope></search><sort><creationdate>200707</creationdate><title>Broadband Spectral Reflectance Models of Turfgrass Species and Cultivars to Drought Stress</title><author>Jiang, Y ; Carrow, R.N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4277-8e9979d9d772843614d3a27a596c0e63190143e7727f801f3ac9b879381233ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>appearance (quality)</topic><topic>Biological and medical sciences</topic><topic>Crops</topic><topic>Cultivars</topic><topic>Drought</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Genetics and breeding of economic plants</topic><topic>Genotype & phenotype</topic><topic>Geographic information systems</topic><topic>Grasses</topic><topic>lawns and turf</topic><topic>Management decisions</topic><topic>Moisture content</topic><topic>plant damage</topic><topic>Plant growth</topic><topic>Reflectance</topic><topic>species differences</topic><topic>spectral analysis</topic><topic>Turf</topic><topic>turf grasses</topic><topic>turf quality</topic><topic>Turfgrasses</topic><topic>Varietal selection. Specialized plant breeding, plant breeding aims</topic><topic>water stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Y</creatorcontrib><creatorcontrib>Carrow, R.N</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>SIRS Editorial</collection><jtitle>Crop science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Y</au><au>Carrow, R.N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Broadband Spectral Reflectance Models of Turfgrass Species and Cultivars to Drought Stress</atitle><jtitle>Crop science</jtitle><date>2007-07</date><risdate>2007</risdate><volume>47</volume><issue>4</issue><spage>1611</spage><epage>1618</epage><pages>1611-1618</pages><issn>0011-183X</issn><eissn>1435-0653</eissn><coden>CRPSAY</coden><abstract>The objective of this study was to assess canopy broadband spectral reflectance for turfgrasses under drought stress. Optimum turf quality (TQ) and leaf firing (LF) models were developed and compared based on two, three, and five wavelength bands. Sods of bermudagrass (Cynodon dactylon L. x C. transvaalensis Burtt-Davy), seashore paspalum (Paspalum vaginatum Swartz), zoysiagrass (Zoysia japonica Steud.), and St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze], and seeded tall fescue (Festuca arundinacea Schreb.) were used in this study with three cultivars each of bermudagrass, seashore paspalum, and tall fescue. Traditional vegetation indices (VIs) based on two bands within 660 to 950 nm were not as sensitive as three to five broadband models using a wider band range of 660 to 1480 nm. Optimum models were cultivar specific models, even within a species. The broadband wavelength at R900 and R1200 should be considered in drought sensitive spectral models since they were most often observed and exhibited high partial R2 values. These results suggest that mobile broadband spectral devices to map turfgrass responses to drought stress would benefit by the availability of three to five broadbands that could be user selected for optimum, cultivar specific models.</abstract><cop>Madison, WI</cop><pub>Crop Science Society of America</pub><doi>10.2135/cropsci2006.09.0617</doi><tpages>8</tpages></addata></record> |
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| ispartof | Crop science, 2007-07, Vol.47 (4), p.1611-1618 |
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| subjects | Agronomy. Soil science and plant productions appearance (quality) Biological and medical sciences Crops Cultivars Drought Fundamental and applied biological sciences. Psychology Genetics and breeding of economic plants Genotype & phenotype Geographic information systems Grasses lawns and turf Management decisions Moisture content plant damage Plant growth Reflectance species differences spectral analysis Turf turf grasses turf quality Turfgrasses Varietal selection. Specialized plant breeding, plant breeding aims water stress |
| title | Broadband Spectral Reflectance Models of Turfgrass Species and Cultivars to Drought Stress |
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