Estimation of biochemical parameters from leaf photosynthesis

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dc.contributor.author Chew, Ken-Loong en_US
dc.contributor.author Zinder, Yakov en_US
dc.contributor.author Yu, Qiang en_US
dc.contributor.author Li, Longhui en_US
dc.contributor.author Langtry, Tim en_US
dc.contributor.editor en_US
dc.date.accessioned 2014-04-03T01:22:08Z
dc.date.available 2014-04-03T01:22:08Z
dc.date.issued 2012 en_US
dc.identifier 2012001850 en_US
dc.identifier.citation Chew, Ken-Loong et al. 2012, 'Estimation of biochemical parameters from leaf photosynthesis', ANZIAM Journal, vol. 53, pp. C218-C235. en_US
dc.identifier.issn 1446-1811 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/22772
dc.description.abstract The objective of measuring leaf photosynthesis using infrared gas analysis is to determine key indicators of plant eco-physiology, including light and CO2 compensation and saturation points, and critical thresholds of temperature. These and other biochemical parameters in photosynthesis models define specific response curves of photosynthetic rate to environmental variables, such as light intensity, temperature, and CO2. Since these parameters cannot regularly be measured in the field, modellers normally adopt laboratory values as universal ones even though the values of these parameters may vary across plant species. This study investigates the identification of parameter values from data sets obtained from field measurement. en_US
dc.language en_US
dc.publisher Australian Mathematical Society en_US
dc.title Estimation of biochemical parameters from leaf photosynthesis en_US
dc.parent ANZIAM Journal en_US
dc.journal.volume 53 en_US
dc.journal.number en_US
dc.publocation Australia en_US
dc.identifier.startpage C218 en_US
dc.identifier.endpage C235 en_US
dc.cauo.name SCI.Plant Functional Biology & Climate Change en_US
dc.conference Verified OK en_US
dc.for 010200 en_US
dc.personcode 0000091957 en_US
dc.personcode 830105 en_US
dc.personcode 930901 en_US
dc.personcode 107001 en_US
dc.personcode 109705 en_US
dc.percentage 100 en_US
dc.classification.name Applied Mathematics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords constrained nonlinear regression, photosynthesis rate en_US
dc.staffid 109705 en_US


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