Thermal time models for estimating wheat phenological development and weather-based relationships to wheat quality
Accurate prediction of crop phenology is a key requirement for crop development models. The prediction of spring wheat yield and quality from meteorological data can be improved by quantifying heat and moisture conditions during specified phenological phases; therefore, accurate prediction of phenol...
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| Veröffentlicht in: | Canadian journal of plant science 2009-05, Vol.89 (3), p.429-439 |
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| creator | Saiyed, Ibrahim M Bullock, Paul R Sapirstein, Harry D Finlay, Gordon J Jarvis, Chad K |
| description | Accurate prediction of crop phenology is a key requirement for crop development models. The prediction of spring wheat yield and quality from meteorological data can be improved by quantifying heat and moisture conditions during specified phenological phases; therefore, accurate prediction of phenological development is important for estimating weather impacts on wheat quality. The objective of this study was to test the accuracy of biometeorological time (BMT), growing degree days (GDD), and physiological days (Pdays) for prediction of wheat phenological stages and impacts of growing season weather during those stages on wheat bread-making quality. Observed crop phenological stages and detailed weather data across 17 site-years in western Canada for six hard spring wheat varieties were collected to assess BMT, GDD and Pdays. Biometeorological time was most consistent for predicting the length of the seeding to jointing and seeding to anthesis growth stages and second most consistent behind GDD for predicting seeding to soft dough and seeding to maturity. The ability of the BMT and GDD models to predict calendar days to anthesis and maturity were further tested using field data from 166 farms across western Canada. Both GDD and BMT models were effective for predicting time from seeding to anthesis (R
2
= 0.84 and 0.90, respectively) and seeding to maturity (R
2
= 0.62 and 0.66, respectively). BMT- and GDD-predicted wheat growth phases were used to calculate modeled crop water use by growth period for producer fields. Crop water use is significantly correlated to key bread-making quality parameters of flour protein, farinograph dough development time and farinograph stability. Biometeorological time predicted water use was more highly correlated to these quality parameters than GDD predictions. Accordingly, the BMT scale is recommended for estimation of wheat phenological development especially for modeling weather impacts on wheat end-use quality.Key words: Spring wheat, phenological development, biometeorological time, growing degree day, physiological day, wheat quality |
| doi_str_mv | 10.4141/CJPS07114 |
| format | Article |
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2
= 0.84 and 0.90, respectively) and seeding to maturity (R
2
= 0.62 and 0.66, respectively). BMT- and GDD-predicted wheat growth phases were used to calculate modeled crop water use by growth period for producer fields. Crop water use is significantly correlated to key bread-making quality parameters of flour protein, farinograph dough development time and farinograph stability. Biometeorological time predicted water use was more highly correlated to these quality parameters than GDD predictions. Accordingly, the BMT scale is recommended for estimation of wheat phenological development especially for modeling weather impacts on wheat end-use quality.Key words: Spring wheat, phenological development, biometeorological time, growing degree day, physiological day, wheat quality</description><identifier>ISSN: 0008-4220</identifier><identifier>EISSN: 1918-1833</identifier><identifier>DOI: 10.4141/CJPS07114</identifier><identifier>CODEN: CPLSAY</identifier><language>eng</language><publisher>Ottawa, ON: Agricultural Institute of Canada</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; biometeorological time ; breadmaking quality ; crop quality ; crop yield ; developmental stages ; environmental factors ; equations ; Fundamental and applied biological sciences. Psychology ; heat sums ; meteorological data ; phenology ; physiological days ; plant development ; plant growth ; plant response ; prediction ; spring wheat ; temperature ; Triticum aestivum ; weather</subject><ispartof>Canadian journal of plant science, 2009-05, Vol.89 (3), p.429-439</ispartof><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c283t-7910dd3da05d2409765254a5a2027f68f767bc147b988903fe24d88009873a883</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21540428$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Saiyed, Ibrahim M</creatorcontrib><creatorcontrib>Bullock, Paul R</creatorcontrib><creatorcontrib>Sapirstein, Harry D</creatorcontrib><creatorcontrib>Finlay, Gordon J</creatorcontrib><creatorcontrib>Jarvis, Chad K</creatorcontrib><title>Thermal time models for estimating wheat phenological development and weather-based relationships to wheat quality</title><title>Canadian journal of plant science</title><description>Accurate prediction of crop phenology is a key requirement for crop development models. The prediction of spring wheat yield and quality from meteorological data can be improved by quantifying heat and moisture conditions during specified phenological phases; therefore, accurate prediction of phenological development is important for estimating weather impacts on wheat quality. The objective of this study was to test the accuracy of biometeorological time (BMT), growing degree days (GDD), and physiological days (Pdays) for prediction of wheat phenological stages and impacts of growing season weather during those stages on wheat bread-making quality. Observed crop phenological stages and detailed weather data across 17 site-years in western Canada for six hard spring wheat varieties were collected to assess BMT, GDD and Pdays. Biometeorological time was most consistent for predicting the length of the seeding to jointing and seeding to anthesis growth stages and second most consistent behind GDD for predicting seeding to soft dough and seeding to maturity. The ability of the BMT and GDD models to predict calendar days to anthesis and maturity were further tested using field data from 166 farms across western Canada. Both GDD and BMT models were effective for predicting time from seeding to anthesis (R
2
= 0.84 and 0.90, respectively) and seeding to maturity (R
2
= 0.62 and 0.66, respectively). BMT- and GDD-predicted wheat growth phases were used to calculate modeled crop water use by growth period for producer fields. Crop water use is significantly correlated to key bread-making quality parameters of flour protein, farinograph dough development time and farinograph stability. Biometeorological time predicted water use was more highly correlated to these quality parameters than GDD predictions. Accordingly, the BMT scale is recommended for estimation of wheat phenological development especially for modeling weather impacts on wheat end-use quality.Key words: Spring wheat, phenological development, biometeorological time, growing degree day, physiological day, wheat quality</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>biometeorological time</subject><subject>breadmaking quality</subject><subject>crop quality</subject><subject>crop yield</subject><subject>developmental stages</subject><subject>environmental factors</subject><subject>equations</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>heat sums</subject><subject>meteorological data</subject><subject>phenology</subject><subject>physiological days</subject><subject>plant development</subject><subject>plant growth</subject><subject>plant response</subject><subject>prediction</subject><subject>spring wheat</subject><subject>temperature</subject><subject>Triticum aestivum</subject><subject>weather</subject><issn>0008-4220</issn><issn>1918-1833</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNo9kEtPwzAQhC0EEqVw4BfgCwcOgfUjsXNEFU9VAqntOXJjuwlK4mAbqv57XLXitNrVN6OdQeiawD0nnDzM3j8XIAjhJ2hCSiIzIhk7RRMAkBmnFM7RRQhfaRVEwgT5ZWN8rzoc297g3mnTBWydxyaki4rtsMHbxqiIx8YMrnObtk60Nr-mc2NvhojVoPE2EckoW6tgNPamS0o3hKYdA47u6PD9o7o27i7RmVVdMFfHOUWr56fl7DWbf7y8zR7nWU0li5koCWjNtIJcUw6lKHKac5UrClTYQlpRiHVNuFiXUpbArKFcSwlQSsGUlGyK7g6-tXcheGOr0adIflcRqPZlVf9lJfb2wI4qpHzWq6Fuw7-AkpwDp3vPmwNnlavUxidmtaBAGJCCQ3qZ_QGtp3OO</recordid><startdate>20090501</startdate><enddate>20090501</enddate><creator>Saiyed, Ibrahim M</creator><creator>Bullock, Paul R</creator><creator>Sapirstein, Harry D</creator><creator>Finlay, Gordon J</creator><creator>Jarvis, Chad K</creator><general>Agricultural Institute of Canada</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20090501</creationdate><title>Thermal time models for estimating wheat phenological development and weather-based relationships to wheat quality</title><author>Saiyed, Ibrahim M ; Bullock, Paul R ; Sapirstein, Harry D ; Finlay, Gordon J ; Jarvis, Chad K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c283t-7910dd3da05d2409765254a5a2027f68f767bc147b988903fe24d88009873a883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>biometeorological time</topic><topic>breadmaking quality</topic><topic>crop quality</topic><topic>crop yield</topic><topic>developmental stages</topic><topic>environmental factors</topic><topic>equations</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>heat sums</topic><topic>meteorological data</topic><topic>phenology</topic><topic>physiological days</topic><topic>plant development</topic><topic>plant growth</topic><topic>plant response</topic><topic>prediction</topic><topic>spring wheat</topic><topic>temperature</topic><topic>Triticum aestivum</topic><topic>weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saiyed, Ibrahim M</creatorcontrib><creatorcontrib>Bullock, Paul R</creatorcontrib><creatorcontrib>Sapirstein, Harry D</creatorcontrib><creatorcontrib>Finlay, Gordon J</creatorcontrib><creatorcontrib>Jarvis, Chad K</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Canadian journal of plant science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saiyed, Ibrahim M</au><au>Bullock, Paul R</au><au>Sapirstein, Harry D</au><au>Finlay, Gordon J</au><au>Jarvis, Chad K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Thermal time models for estimating wheat phenological development and weather-based relationships to wheat quality</atitle><jtitle>Canadian journal of plant science</jtitle><date>2009-05-01</date><risdate>2009</risdate><volume>89</volume><issue>3</issue><spage>429</spage><epage>439</epage><pages>429-439</pages><issn>0008-4220</issn><eissn>1918-1833</eissn><coden>CPLSAY</coden><abstract>Accurate prediction of crop phenology is a key requirement for crop development models. The prediction of spring wheat yield and quality from meteorological data can be improved by quantifying heat and moisture conditions during specified phenological phases; therefore, accurate prediction of phenological development is important for estimating weather impacts on wheat quality. The objective of this study was to test the accuracy of biometeorological time (BMT), growing degree days (GDD), and physiological days (Pdays) for prediction of wheat phenological stages and impacts of growing season weather during those stages on wheat bread-making quality. Observed crop phenological stages and detailed weather data across 17 site-years in western Canada for six hard spring wheat varieties were collected to assess BMT, GDD and Pdays. Biometeorological time was most consistent for predicting the length of the seeding to jointing and seeding to anthesis growth stages and second most consistent behind GDD for predicting seeding to soft dough and seeding to maturity. The ability of the BMT and GDD models to predict calendar days to anthesis and maturity were further tested using field data from 166 farms across western Canada. Both GDD and BMT models were effective for predicting time from seeding to anthesis (R
2
= 0.84 and 0.90, respectively) and seeding to maturity (R
2
= 0.62 and 0.66, respectively). BMT- and GDD-predicted wheat growth phases were used to calculate modeled crop water use by growth period for producer fields. Crop water use is significantly correlated to key bread-making quality parameters of flour protein, farinograph dough development time and farinograph stability. Biometeorological time predicted water use was more highly correlated to these quality parameters than GDD predictions. Accordingly, the BMT scale is recommended for estimation of wheat phenological development especially for modeling weather impacts on wheat end-use quality.Key words: Spring wheat, phenological development, biometeorological time, growing degree day, physiological day, wheat quality</abstract><cop>Ottawa, ON</cop><pub>Agricultural Institute of Canada</pub><doi>10.4141/CJPS07114</doi><tpages>11</tpages></addata></record> |
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| ispartof | Canadian journal of plant science, 2009-05, Vol.89 (3), p.429-439 |
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| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Agronomy. Soil science and plant productions Biological and medical sciences biometeorological time breadmaking quality crop quality crop yield developmental stages environmental factors equations Fundamental and applied biological sciences. Psychology heat sums meteorological data phenology physiological days plant development plant growth plant response prediction spring wheat temperature Triticum aestivum weather |
| title | Thermal time models for estimating wheat phenological development and weather-based relationships to wheat quality |
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