Environmental Effects on Developing Wheat as Sensed by Near-Infrared Reflectance of Mature Grains
For 30 years, near-infrared (NIR) spectroscopy has routinely been applied to the cereal grains for the purpose of rapidly measuring concentrations of constituents such as protein and moisture. The research described herein examined the ability of NIR reflectance spectroscopy on harvested wheat to de...
Gespeichert in:
| Veröffentlicht in: | Cereal chemistry 2002-11, Vol.79 (6), p.885-891 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 891 |
|---|---|
| container_issue | 6 |
| container_start_page | 885 |
| container_title | Cereal chemistry |
| container_volume | 79 |
| creator | Delwiche, Stephen R Graybosch, Robert A Nelson, Lenis A Hruschka, William R |
| description | For 30 years, near-infrared (NIR) spectroscopy has routinely been applied to the cereal grains for the purpose of rapidly measuring concentrations of constituents such as protein and moisture. The research described herein examined the ability of NIR reflectance spectroscopy on harvested wheat to determine weather-related, quality-determining properties that occurred during plant development. Twenty commercial cultivars or advanced breeding lines of hard red winter and hard white wheat (Triticum aestivum L.) were grown in 10 geographical locations under prevailing natural conditions of the U.S. Great Plains. Diffuse reflectance spectra (1,100-2,498 nm) of ground wheat from these samples were modeled by partial least squares one (PLS1) and multiple linear regression algorithms for the following properties: SDS sedimentation volume, amount of time during grain fill in which the temperature or relative humidity exceeded or was less than a threshold level (i.e., >30, >32, >35, 80%, |
| doi_str_mv | 10.1094/CCHEM.2002.79.6.885 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_230017579</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>254909961</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4235-84a11b4fc85571690be1ce0faa4a7152d6164542c3b4f1eedeacbfb3c69bce33</originalsourceid><addsrcrecordid>eNqNkU9v1DAQxS1EJZaWT8ABC4ljwvhfEh_RsrSVWiq1RRytiXdcUqXOYmeL9tvjNpW4chrN6PfeaN4w9l5ALcDqz-v12eaylgCybm3d1F1nXrGVsFpVqlHda7YCAFuBMvINe5vzfWmVaNWK4SY-DmmKDxRnHPkmBPJz5lPkX-mRxmk3xDv-8xfhzDHzG4qZtrw_8O-EqTqPIWEqg2sKY9Fh9MSnwC9x3ifipwmHmE_YUcAx07uXesxuv21u12fVxdXp-frLReW1VKbqNArR6-A7Y1rRWOhJeIKAqLEVRm4b0WijpVcFEkRbQt-HXvnG9p6UOmYfF9tdmn7vKc_uftqnWDY6qQBEa1pbILVAPk05Jwpul4YHTAcnwD0l6Z6TdE9Juta6xpUki-rTizVmj2O5Ofoh_5NqkEJBVzi7cH-GkQ7_Y_08g2XHh0UbcHJ4l4r_jxsJwpRPGW3Kr_4CO9yOcg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>230017579</pqid></control><display><type>article</type><title>Environmental Effects on Developing Wheat as Sensed by Near-Infrared Reflectance of Mature Grains</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Delwiche, Stephen R ; Graybosch, Robert A ; Nelson, Lenis A ; Hruschka, William R</creator><creatorcontrib>Delwiche, Stephen R ; Graybosch, Robert A ; Nelson, Lenis A ; Hruschka, William R</creatorcontrib><description>For 30 years, near-infrared (NIR) spectroscopy has routinely been applied to the cereal grains for the purpose of rapidly measuring concentrations of constituents such as protein and moisture. The research described herein examined the ability of NIR reflectance spectroscopy on harvested wheat to determine weather-related, quality-determining properties that occurred during plant development. Twenty commercial cultivars or advanced breeding lines of hard red winter and hard white wheat (Triticum aestivum L.) were grown in 10 geographical locations under prevailing natural conditions of the U.S. Great Plains. Diffuse reflectance spectra (1,100-2,498 nm) of ground wheat from these samples were modeled by partial least squares one (PLS1) and multiple linear regression algorithms for the following properties: SDS sedimentation volume, amount of time during grain fill in which the temperature or relative humidity exceeded or was less than a threshold level (i.e., >30, >32, >35, <24°C; >80%, <40% rh). Rainfall values associated with four pre- and post-planting stages also were examined heuristically by PLS2 analysis. Partial correlation analysis was used to statistically remove the contribution of protein content from the quantitative NIR models. PLS1 models of 9-11 factors on scatter-corrected and (second order) derivatized spectra produced models whose dimensionless error (RPD, ratio of standard deviation of the property in a test set to the model standard error for that property) ranged from 2.0 to 3.3. Multiple linear regression models, involving the sum of four second-derivative terms with coefficients, produced models of slightly higher error compared with PLS models. For both modeling approaches, partial correlation analysis demonstrated that model success extends beyond an intercorrelation between property and protein content, a constituent that is well-modeled by NIR spectroscopy. With refinement, these types of NIR models may have the potential to provide grain handlers, millers, and bakers a tool for identifying the cultural environment under which the purchased grain was produced.</description><identifier>ISSN: 0009-0352</identifier><identifier>EISSN: 1943-3638</identifier><identifier>DOI: 10.1094/CCHEM.2002.79.6.885</identifier><identifier>CODEN: CECHAF</identifier><language>eng</language><publisher>St. Paul, MN: The American Association of Cereal Chemists, Inc</publisher><subject>Agronomy. Soil science and plant productions ; algorithms ; Biological and medical sciences ; breeding ; breeding lines ; Chemical constitution ; cultivars ; cultural environment ; Economic plant physiology ; Fundamental and applied biological sciences. Psychology ; General agronomy. Plant production ; Generalities. Agricultural and farming systems. Agricultural development ; Generalities. Production, biomass, yield. Quality ; hard white wheat ; least squares ; linear models ; near-infrared spectroscopy ; plant development ; protein content ; rain ; reflectance ; relative humidity ; temperature ; Triticum aestivum ; winter</subject><ispartof>Cereal chemistry, 2002-11, Vol.79 (6), p.885-891</ispartof><rights>AACC International</rights><rights>2003 INIST-CNRS</rights><rights>Copyright American Association of Cereal Chemists Nov/Dec 2002</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4235-84a11b4fc85571690be1ce0faa4a7152d6164542c3b4f1eedeacbfb3c69bce33</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1094%2FCCHEM.2002.79.6.885$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1094%2FCCHEM.2002.79.6.885$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14021308$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Delwiche, Stephen R</creatorcontrib><creatorcontrib>Graybosch, Robert A</creatorcontrib><creatorcontrib>Nelson, Lenis A</creatorcontrib><creatorcontrib>Hruschka, William R</creatorcontrib><title>Environmental Effects on Developing Wheat as Sensed by Near-Infrared Reflectance of Mature Grains</title><title>Cereal chemistry</title><description>For 30 years, near-infrared (NIR) spectroscopy has routinely been applied to the cereal grains for the purpose of rapidly measuring concentrations of constituents such as protein and moisture. The research described herein examined the ability of NIR reflectance spectroscopy on harvested wheat to determine weather-related, quality-determining properties that occurred during plant development. Twenty commercial cultivars or advanced breeding lines of hard red winter and hard white wheat (Triticum aestivum L.) were grown in 10 geographical locations under prevailing natural conditions of the U.S. Great Plains. Diffuse reflectance spectra (1,100-2,498 nm) of ground wheat from these samples were modeled by partial least squares one (PLS1) and multiple linear regression algorithms for the following properties: SDS sedimentation volume, amount of time during grain fill in which the temperature or relative humidity exceeded or was less than a threshold level (i.e., >30, >32, >35, <24°C; >80%, <40% rh). Rainfall values associated with four pre- and post-planting stages also were examined heuristically by PLS2 analysis. Partial correlation analysis was used to statistically remove the contribution of protein content from the quantitative NIR models. PLS1 models of 9-11 factors on scatter-corrected and (second order) derivatized spectra produced models whose dimensionless error (RPD, ratio of standard deviation of the property in a test set to the model standard error for that property) ranged from 2.0 to 3.3. Multiple linear regression models, involving the sum of four second-derivative terms with coefficients, produced models of slightly higher error compared with PLS models. For both modeling approaches, partial correlation analysis demonstrated that model success extends beyond an intercorrelation between property and protein content, a constituent that is well-modeled by NIR spectroscopy. With refinement, these types of NIR models may have the potential to provide grain handlers, millers, and bakers a tool for identifying the cultural environment under which the purchased grain was produced.</description><subject>Agronomy. Soil science and plant productions</subject><subject>algorithms</subject><subject>Biological and medical sciences</subject><subject>breeding</subject><subject>breeding lines</subject><subject>Chemical constitution</subject><subject>cultivars</subject><subject>cultural environment</subject><subject>Economic plant physiology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agronomy. Plant production</subject><subject>Generalities. Agricultural and farming systems. Agricultural development</subject><subject>Generalities. Production, biomass, yield. Quality</subject><subject>hard white wheat</subject><subject>least squares</subject><subject>linear models</subject><subject>near-infrared spectroscopy</subject><subject>plant development</subject><subject>protein content</subject><subject>rain</subject><subject>reflectance</subject><subject>relative humidity</subject><subject>temperature</subject><subject>Triticum aestivum</subject><subject>winter</subject><issn>0009-0352</issn><issn>1943-3638</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</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>eNqNkU9v1DAQxS1EJZaWT8ABC4ljwvhfEh_RsrSVWiq1RRytiXdcUqXOYmeL9tvjNpW4chrN6PfeaN4w9l5ALcDqz-v12eaylgCybm3d1F1nXrGVsFpVqlHda7YCAFuBMvINe5vzfWmVaNWK4SY-DmmKDxRnHPkmBPJz5lPkX-mRxmk3xDv-8xfhzDHzG4qZtrw_8O-EqTqPIWEqg2sKY9Fh9MSnwC9x3ifipwmHmE_YUcAx07uXesxuv21u12fVxdXp-frLReW1VKbqNArR6-A7Y1rRWOhJeIKAqLEVRm4b0WijpVcFEkRbQt-HXvnG9p6UOmYfF9tdmn7vKc_uftqnWDY6qQBEa1pbILVAPk05Jwpul4YHTAcnwD0l6Z6TdE9Juta6xpUki-rTizVmj2O5Ofoh_5NqkEJBVzi7cH-GkQ7_Y_08g2XHh0UbcHJ4l4r_jxsJwpRPGW3Kr_4CO9yOcg</recordid><startdate>200211</startdate><enddate>200211</enddate><creator>Delwiche, Stephen R</creator><creator>Graybosch, Robert A</creator><creator>Nelson, Lenis A</creator><creator>Hruschka, William R</creator><general>The American Association of Cereal Chemists, Inc</general><general>American Association of Cereal Chemists</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>7X2</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</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>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>200211</creationdate><title>Environmental Effects on Developing Wheat as Sensed by Near-Infrared Reflectance of Mature Grains</title><author>Delwiche, Stephen R ; Graybosch, Robert A ; Nelson, Lenis A ; Hruschka, William R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4235-84a11b4fc85571690be1ce0faa4a7152d6164542c3b4f1eedeacbfb3c69bce33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>algorithms</topic><topic>Biological and medical sciences</topic><topic>breeding</topic><topic>breeding lines</topic><topic>Chemical constitution</topic><topic>cultivars</topic><topic>cultural environment</topic><topic>Economic plant physiology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General agronomy. Plant production</topic><topic>Generalities. Agricultural and farming systems. Agricultural development</topic><topic>Generalities. Production, biomass, yield. Quality</topic><topic>hard white wheat</topic><topic>least squares</topic><topic>linear models</topic><topic>near-infrared spectroscopy</topic><topic>plant development</topic><topic>protein content</topic><topic>rain</topic><topic>reflectance</topic><topic>relative humidity</topic><topic>temperature</topic><topic>Triticum aestivum</topic><topic>winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Delwiche, Stephen R</creatorcontrib><creatorcontrib>Graybosch, Robert A</creatorcontrib><creatorcontrib>Nelson, Lenis A</creatorcontrib><creatorcontrib>Hruschka, William R</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 One Sustainability</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>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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Cereal chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Delwiche, Stephen R</au><au>Graybosch, Robert A</au><au>Nelson, Lenis A</au><au>Hruschka, William R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Environmental Effects on Developing Wheat as Sensed by Near-Infrared Reflectance of Mature Grains</atitle><jtitle>Cereal chemistry</jtitle><date>2002-11</date><risdate>2002</risdate><volume>79</volume><issue>6</issue><spage>885</spage><epage>891</epage><pages>885-891</pages><issn>0009-0352</issn><eissn>1943-3638</eissn><coden>CECHAF</coden><abstract>For 30 years, near-infrared (NIR) spectroscopy has routinely been applied to the cereal grains for the purpose of rapidly measuring concentrations of constituents such as protein and moisture. The research described herein examined the ability of NIR reflectance spectroscopy on harvested wheat to determine weather-related, quality-determining properties that occurred during plant development. Twenty commercial cultivars or advanced breeding lines of hard red winter and hard white wheat (Triticum aestivum L.) were grown in 10 geographical locations under prevailing natural conditions of the U.S. Great Plains. Diffuse reflectance spectra (1,100-2,498 nm) of ground wheat from these samples were modeled by partial least squares one (PLS1) and multiple linear regression algorithms for the following properties: SDS sedimentation volume, amount of time during grain fill in which the temperature or relative humidity exceeded or was less than a threshold level (i.e., >30, >32, >35, <24°C; >80%, <40% rh). Rainfall values associated with four pre- and post-planting stages also were examined heuristically by PLS2 analysis. Partial correlation analysis was used to statistically remove the contribution of protein content from the quantitative NIR models. PLS1 models of 9-11 factors on scatter-corrected and (second order) derivatized spectra produced models whose dimensionless error (RPD, ratio of standard deviation of the property in a test set to the model standard error for that property) ranged from 2.0 to 3.3. Multiple linear regression models, involving the sum of four second-derivative terms with coefficients, produced models of slightly higher error compared with PLS models. For both modeling approaches, partial correlation analysis demonstrated that model success extends beyond an intercorrelation between property and protein content, a constituent that is well-modeled by NIR spectroscopy. With refinement, these types of NIR models may have the potential to provide grain handlers, millers, and bakers a tool for identifying the cultural environment under which the purchased grain was produced.</abstract><cop>St. Paul, MN</cop><pub>The American Association of Cereal Chemists, Inc</pub><doi>10.1094/CCHEM.2002.79.6.885</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0009-0352 |
| ispartof | Cereal chemistry, 2002-11, Vol.79 (6), p.885-891 |
| issn | 0009-0352 1943-3638 |
| language | eng |
| recordid | cdi_proquest_journals_230017579 |
| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Agronomy. Soil science and plant productions algorithms Biological and medical sciences breeding breeding lines Chemical constitution cultivars cultural environment Economic plant physiology Fundamental and applied biological sciences. Psychology General agronomy. Plant production Generalities. Agricultural and farming systems. Agricultural development Generalities. Production, biomass, yield. Quality hard white wheat least squares linear models near-infrared spectroscopy plant development protein content rain reflectance relative humidity temperature Triticum aestivum winter |
| title | Environmental Effects on Developing Wheat as Sensed by Near-Infrared Reflectance of Mature Grains |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T23%3A44%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Environmental%20Effects%20on%20Developing%20Wheat%20as%20Sensed%20by%20Near-Infrared%20Reflectance%20of%20Mature%20Grains&rft.jtitle=Cereal%20chemistry&rft.au=Delwiche,%20Stephen%20R&rft.date=2002-11&rft.volume=79&rft.issue=6&rft.spage=885&rft.epage=891&rft.pages=885-891&rft.issn=0009-0352&rft.eissn=1943-3638&rft.coden=CECHAF&rft_id=info:doi/10.1094/CCHEM.2002.79.6.885&rft_dat=%3Cproquest_cross%3E254909961%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=230017579&rft_id=info:pmid/&rfr_iscdi=true |