Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat
Leaf hyperspectral reflectance can be used by the wheat physiology and breeding communities to rapidly estimate Rubisco activity, electron transport rate, leaf nitrogen, leaf dry mass per area, and relative chlorophyll content. Abstract Improving photosynthesis to raise wheat yield potential has eme...
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| Veröffentlicht in: | Journal of experimental botany 2018-01, Vol.69 (3), p.483-496 |
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| creator | Silva-Perez, Viridiana Molero, Gemma Serbin, Shawn P Condon, Anthony G Reynolds, Matthew P Furbank, Robert T Evans, John R |
| description | Leaf hyperspectral reflectance can be used by the wheat physiology and breeding communities to rapidly estimate Rubisco activity, electron transport rate, leaf nitrogen, leaf dry mass per area, and relative chlorophyll content.
Abstract
Improving photosynthesis to raise wheat yield potential has emerged as a major target for wheat physiologists. Photosynthesis-related traits, such as nitrogen per unit leaf area (Narea) and leaf dry mass per area (LMA), require laborious, destructive, laboratory-based methods, while physiological traits underpinning photosynthetic capacity, such as maximum Rubisco activity normalized to 25 °C (Vcmax25) and electron transport rate (J), require time-consuming gas exchange measurements. The aim of this study was to assess whether hyperspectral reflectance (350-2500 nm) can be used to rapidly estimate these traits on intact wheat leaves. Predictive models were constructed using gas exchange and hyperspectral reflectance data from 76 genotypes grown in glasshouses with different nitrogen levels and/or in the field under yield potential conditions. Models were developed using half of the observed data with the remainder used for validation, yielding correlation coefficients (R2 values) of 0.62 for Vcmax25, 0.7 for J, 0.81 for SPAD, 0.89 for LMA, and 0.93 for Narea, with bias |
| doi_str_mv | 10.1093/jxb/erx421 |
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Abstract
Improving photosynthesis to raise wheat yield potential has emerged as a major target for wheat physiologists. Photosynthesis-related traits, such as nitrogen per unit leaf area (Narea) and leaf dry mass per area (LMA), require laborious, destructive, laboratory-based methods, while physiological traits underpinning photosynthetic capacity, such as maximum Rubisco activity normalized to 25 °C (Vcmax25) and electron transport rate (J), require time-consuming gas exchange measurements. The aim of this study was to assess whether hyperspectral reflectance (350-2500 nm) can be used to rapidly estimate these traits on intact wheat leaves. Predictive models were constructed using gas exchange and hyperspectral reflectance data from 76 genotypes grown in glasshouses with different nitrogen levels and/or in the field under yield potential conditions. Models were developed using half of the observed data with the remainder used for validation, yielding correlation coefficients (R2 values) of 0.62 for Vcmax25, 0.7 for J, 0.81 for SPAD, 0.89 for LMA, and 0.93 for Narea, with bias <0.7%. The models were tested on elite lines and landraces that had not been used to create the models. The bias varied between −2.3% and −5.5% while relative error of prediction was similar for SPAD but slightly greater for LMA and Narea.</description><identifier>ISSN: 0022-0957</identifier><identifier>ISSN: 1460-2431</identifier><identifier>EISSN: 1460-2431</identifier><identifier>DOI: 10.1093/jxb/erx421</identifier><identifier>PMID: 29309611</identifier><language>eng</language><publisher>UK: Oxford University Press</publisher><subject>BASIC BIOLOGICAL SCIENCES ; Carbon Dioxide - physiology ; electron transfer ; electron transport rate ; enzyme activity ; gas exchange ; genotype ; grain yield ; greenhouses ; hyperspectral reflectance ; landraces ; leaf area ; leaf dry mass per area ; leaf nitrogen ; leaves ; nitrogen ; partial least squares ; photosynthesis ; Photosynthesis - physiology ; physiologists ; Plant Leaves - physiology ; prediction ; reflectance ; Research Papers ; ribulose-bisphosphate carboxylase ; Rubisco ; specific leaf weight ; Spectrophotometry, Infrared - instrumentation ; Spectrophotometry, Infrared - methods ; Triticum ; Triticum - physiology ; Triticum aestivum ; velocity of carboxylation ; wheat</subject><ispartof>Journal of experimental botany, 2018-01, Vol.69 (3), p.483-496</ispartof><rights>The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology. 2017</rights><rights>The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c534t-bafb2564a92017640041c65968d0e7c5dc5e1aa86b53f2f793e2a57ef99c39903</citedby><cites>FETCH-LOGICAL-c534t-bafb2564a92017640041c65968d0e7c5dc5e1aa86b53f2f793e2a57ef99c39903</cites><orcidid>0000-0001-8700-6613 ; 0000-0003-1379-3532 ; 0000-0002-6431-7563 ; 0000-0001-5653-1802 ; 0000-0003-4136-8971 ; 0000-0002-4291-4316 ; 0000000242914316 ; 0000000264317563 ; 0000000313793532 ; 0000000341368971 ; 0000000187006613 ; 0000000156531802</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,1578,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29309611$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/1439796$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Silva-Perez, Viridiana</creatorcontrib><creatorcontrib>Molero, Gemma</creatorcontrib><creatorcontrib>Serbin, Shawn P</creatorcontrib><creatorcontrib>Condon, Anthony G</creatorcontrib><creatorcontrib>Reynolds, Matthew P</creatorcontrib><creatorcontrib>Furbank, Robert T</creatorcontrib><creatorcontrib>Evans, John R</creatorcontrib><creatorcontrib>Brookhaven National Laboratory (BNL), Upton, NY (United States)</creatorcontrib><creatorcontrib>Australian National Univ., Canberra, ACT (Australia)</creatorcontrib><creatorcontrib>CSIRO Agriculture, Canberra, ACT (Australia)</creatorcontrib><creatorcontrib>International Maize and Wheat Improvement Centre (CIMMYT), Mexico City (Mexico)</creatorcontrib><title>Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat</title><title>Journal of experimental botany</title><addtitle>J Exp Bot</addtitle><description>Leaf hyperspectral reflectance can be used by the wheat physiology and breeding communities to rapidly estimate Rubisco activity, electron transport rate, leaf nitrogen, leaf dry mass per area, and relative chlorophyll content.
Abstract
Improving photosynthesis to raise wheat yield potential has emerged as a major target for wheat physiologists. Photosynthesis-related traits, such as nitrogen per unit leaf area (Narea) and leaf dry mass per area (LMA), require laborious, destructive, laboratory-based methods, while physiological traits underpinning photosynthetic capacity, such as maximum Rubisco activity normalized to 25 °C (Vcmax25) and electron transport rate (J), require time-consuming gas exchange measurements. The aim of this study was to assess whether hyperspectral reflectance (350-2500 nm) can be used to rapidly estimate these traits on intact wheat leaves. Predictive models were constructed using gas exchange and hyperspectral reflectance data from 76 genotypes grown in glasshouses with different nitrogen levels and/or in the field under yield potential conditions. Models were developed using half of the observed data with the remainder used for validation, yielding correlation coefficients (R2 values) of 0.62 for Vcmax25, 0.7 for J, 0.81 for SPAD, 0.89 for LMA, and 0.93 for Narea, with bias <0.7%. The models were tested on elite lines and landraces that had not been used to create the models. The bias varied between −2.3% and −5.5% while relative error of prediction was similar for SPAD but slightly greater for LMA and Narea.</description><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Carbon Dioxide - physiology</subject><subject>electron transfer</subject><subject>electron transport rate</subject><subject>enzyme activity</subject><subject>gas exchange</subject><subject>genotype</subject><subject>grain yield</subject><subject>greenhouses</subject><subject>hyperspectral reflectance</subject><subject>landraces</subject><subject>leaf area</subject><subject>leaf dry mass per area</subject><subject>leaf nitrogen</subject><subject>leaves</subject><subject>nitrogen</subject><subject>partial least squares</subject><subject>photosynthesis</subject><subject>Photosynthesis - physiology</subject><subject>physiologists</subject><subject>Plant Leaves - physiology</subject><subject>prediction</subject><subject>reflectance</subject><subject>Research Papers</subject><subject>ribulose-bisphosphate carboxylase</subject><subject>Rubisco</subject><subject>specific leaf weight</subject><subject>Spectrophotometry, Infrared - instrumentation</subject><subject>Spectrophotometry, Infrared - methods</subject><subject>Triticum</subject><subject>Triticum - physiology</subject><subject>Triticum aestivum</subject><subject>velocity of carboxylation</subject><subject>wheat</subject><issn>0022-0957</issn><issn>1460-2431</issn><issn>1460-2431</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNqFkU-LFDEQxYMo7rh68QNIEAQR2s2_SncugizurrDgRW9CSGeqt7N0d9qkW3e-vRlnXPSil0qR_HipV4-Q55y95czIs9u79gzTnRL8AdlwpVkllOQPyYYxISpmoD4hT3K-ZYwBA3hMToSRzGjON-Tr1W7GlGf0S3IDTdgNpXWTR-oydXSJcSiFjujympC2Ifoex-AL7KYtnftdDnGIN79uikZYMg0T_dGjW56SR50bMj47nqfky8WHz-dX1fWny4_n768rD1ItVeu6VoBWzgjGa60YU9xrMLrZMqw9bD0gd67RLchOdLWRKBzU2BnjpTFMnpJ3B915bUfcepz2ZuycwujSzkYX7N8vU-jtTfxuoQFZN6oIvDwIxLwEm31Y0Pc-TlPZheVKmtroAr0-_pLitxXzYseQPQ6DmzCu2Yr94LUAJf-LctMYAC3AFPTNAfUp5lz2fz82Z3Yfry3x2kO8BX7xp9F79HeeBXh1NLLO_xL6CbpUrxU</recordid><startdate>20180123</startdate><enddate>20180123</enddate><creator>Silva-Perez, Viridiana</creator><creator>Molero, Gemma</creator><creator>Serbin, Shawn P</creator><creator>Condon, Anthony G</creator><creator>Reynolds, Matthew P</creator><creator>Furbank, Robert T</creator><creator>Evans, John R</creator><general>Oxford University Press</general><scope>TOX</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>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8700-6613</orcidid><orcidid>https://orcid.org/0000-0003-1379-3532</orcidid><orcidid>https://orcid.org/0000-0002-6431-7563</orcidid><orcidid>https://orcid.org/0000-0001-5653-1802</orcidid><orcidid>https://orcid.org/0000-0003-4136-8971</orcidid><orcidid>https://orcid.org/0000-0002-4291-4316</orcidid><orcidid>https://orcid.org/0000000242914316</orcidid><orcidid>https://orcid.org/0000000264317563</orcidid><orcidid>https://orcid.org/0000000313793532</orcidid><orcidid>https://orcid.org/0000000341368971</orcidid><orcidid>https://orcid.org/0000000187006613</orcidid><orcidid>https://orcid.org/0000000156531802</orcidid></search><sort><creationdate>20180123</creationdate><title>Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat</title><author>Silva-Perez, Viridiana ; Molero, Gemma ; Serbin, Shawn P ; Condon, Anthony G ; Reynolds, Matthew P ; Furbank, Robert T ; Evans, John R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c534t-bafb2564a92017640041c65968d0e7c5dc5e1aa86b53f2f793e2a57ef99c39903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>BASIC BIOLOGICAL SCIENCES</topic><topic>Carbon Dioxide - physiology</topic><topic>electron transfer</topic><topic>electron transport rate</topic><topic>enzyme activity</topic><topic>gas exchange</topic><topic>genotype</topic><topic>grain yield</topic><topic>greenhouses</topic><topic>hyperspectral reflectance</topic><topic>landraces</topic><topic>leaf area</topic><topic>leaf dry mass per area</topic><topic>leaf nitrogen</topic><topic>leaves</topic><topic>nitrogen</topic><topic>partial least squares</topic><topic>photosynthesis</topic><topic>Photosynthesis - physiology</topic><topic>physiologists</topic><topic>Plant Leaves - physiology</topic><topic>prediction</topic><topic>reflectance</topic><topic>Research Papers</topic><topic>ribulose-bisphosphate carboxylase</topic><topic>Rubisco</topic><topic>specific leaf weight</topic><topic>Spectrophotometry, Infrared - instrumentation</topic><topic>Spectrophotometry, Infrared - methods</topic><topic>Triticum</topic><topic>Triticum - physiology</topic><topic>Triticum aestivum</topic><topic>velocity of carboxylation</topic><topic>wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva-Perez, Viridiana</creatorcontrib><creatorcontrib>Molero, Gemma</creatorcontrib><creatorcontrib>Serbin, Shawn P</creatorcontrib><creatorcontrib>Condon, Anthony G</creatorcontrib><creatorcontrib>Reynolds, Matthew P</creatorcontrib><creatorcontrib>Furbank, Robert T</creatorcontrib><creatorcontrib>Evans, John R</creatorcontrib><creatorcontrib>Brookhaven National Laboratory (BNL), Upton, NY (United States)</creatorcontrib><creatorcontrib>Australian National Univ., Canberra, ACT (Australia)</creatorcontrib><creatorcontrib>CSIRO Agriculture, Canberra, ACT (Australia)</creatorcontrib><creatorcontrib>International Maize and Wheat Improvement Centre (CIMMYT), Mexico City (Mexico)</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of experimental botany</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva-Perez, Viridiana</au><au>Molero, Gemma</au><au>Serbin, Shawn P</au><au>Condon, Anthony G</au><au>Reynolds, Matthew P</au><au>Furbank, Robert T</au><au>Evans, John R</au><aucorp>Brookhaven National Laboratory (BNL), Upton, NY (United States)</aucorp><aucorp>Australian National Univ., Canberra, ACT (Australia)</aucorp><aucorp>CSIRO Agriculture, Canberra, ACT (Australia)</aucorp><aucorp>International Maize and Wheat Improvement Centre (CIMMYT), Mexico City (Mexico)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat</atitle><jtitle>Journal of experimental botany</jtitle><addtitle>J Exp Bot</addtitle><date>2018-01-23</date><risdate>2018</risdate><volume>69</volume><issue>3</issue><spage>483</spage><epage>496</epage><pages>483-496</pages><issn>0022-0957</issn><issn>1460-2431</issn><eissn>1460-2431</eissn><abstract>Leaf hyperspectral reflectance can be used by the wheat physiology and breeding communities to rapidly estimate Rubisco activity, electron transport rate, leaf nitrogen, leaf dry mass per area, and relative chlorophyll content.
Abstract
Improving photosynthesis to raise wheat yield potential has emerged as a major target for wheat physiologists. Photosynthesis-related traits, such as nitrogen per unit leaf area (Narea) and leaf dry mass per area (LMA), require laborious, destructive, laboratory-based methods, while physiological traits underpinning photosynthetic capacity, such as maximum Rubisco activity normalized to 25 °C (Vcmax25) and electron transport rate (J), require time-consuming gas exchange measurements. The aim of this study was to assess whether hyperspectral reflectance (350-2500 nm) can be used to rapidly estimate these traits on intact wheat leaves. Predictive models were constructed using gas exchange and hyperspectral reflectance data from 76 genotypes grown in glasshouses with different nitrogen levels and/or in the field under yield potential conditions. Models were developed using half of the observed data with the remainder used for validation, yielding correlation coefficients (R2 values) of 0.62 for Vcmax25, 0.7 for J, 0.81 for SPAD, 0.89 for LMA, and 0.93 for Narea, with bias <0.7%. The models were tested on elite lines and landraces that had not been used to create the models. The bias varied between −2.3% and −5.5% while relative error of prediction was similar for SPAD but slightly greater for LMA and Narea.</abstract><cop>UK</cop><pub>Oxford University Press</pub><pmid>29309611</pmid><doi>10.1093/jxb/erx421</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-8700-6613</orcidid><orcidid>https://orcid.org/0000-0003-1379-3532</orcidid><orcidid>https://orcid.org/0000-0002-6431-7563</orcidid><orcidid>https://orcid.org/0000-0001-5653-1802</orcidid><orcidid>https://orcid.org/0000-0003-4136-8971</orcidid><orcidid>https://orcid.org/0000-0002-4291-4316</orcidid><orcidid>https://orcid.org/0000000242914316</orcidid><orcidid>https://orcid.org/0000000264317563</orcidid><orcidid>https://orcid.org/0000000313793532</orcidid><orcidid>https://orcid.org/0000000341368971</orcidid><orcidid>https://orcid.org/0000000187006613</orcidid><orcidid>https://orcid.org/0000000156531802</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | BASIC BIOLOGICAL SCIENCES Carbon Dioxide - physiology electron transfer electron transport rate enzyme activity gas exchange genotype grain yield greenhouses hyperspectral reflectance landraces leaf area leaf dry mass per area leaf nitrogen leaves nitrogen partial least squares photosynthesis Photosynthesis - physiology physiologists Plant Leaves - physiology prediction reflectance Research Papers ribulose-bisphosphate carboxylase Rubisco specific leaf weight Spectrophotometry, Infrared - instrumentation Spectrophotometry, Infrared - methods Triticum Triticum - physiology Triticum aestivum velocity of carboxylation wheat |
| title | Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat |
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