A simple quantitative model to predict leaf area index in sorghum

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dc.contributor.author Narayanan, Sruthi
dc.contributor.author Aiken, Robert M.
dc.contributor.author Prasad, P. V. Vara
dc.contributor.author Xin, Zhanguo
dc.contributor.author Paul, George
dc.contributor.author Yu, Jianming
dc.date.accessioned 2014-04-07T20:05:40Z
dc.date.available 2014-04-07T20:05:40Z
dc.date.issued 2014-04-07
dc.identifier.uri http://hdl.handle.net/2097/17295
dc.description.abstract Leaf area index (LAI) is a widely used physiological parameter to quantify the vegetative canopy structure of crops. Over the years, several models to estimate LAI have been developed with various degrees of complexity and inherent shortcomings. The LAI simulation models proposed so far for sorghum [Sorghum bicolor (L.) Moench] either lack details of the leaf area dynamics of expanding leaves or demand exhaustive measurements. The objective of this study was to develop a simple quantitative model to predict the LAI of sorghum by introducing a new method for simulation of the leaf area of expanding leaves. The proposed model relates LAI to thermal time. It calculates LAI from an algorithm considering the total number of mature leaves, the area of mature leaves, the area of expanding leaves, and plant density. The performance of the model was tested using LAI data collected using a nondestructive method under field conditions. The slope of the regression of modeled LAI on observed LAI varied for photoperiod-sensitive and -insensitive genotypes in 2010. The coefficients of determination (R²) between modeled and observed LAI were 0.96 in 2009 and 0.99 (photoperiod insensitive) and 0.95 (photoperiod sensitive) in 2010. The inclusion of expanding leaves in the model improved its accuracy. The model provides an accurate estimate of LAI at any given day of the vegetative growing season based only on thermal time and making use of default coefficients demonstrated in this research. en_US
dc.language.iso en_US en_US
dc.relation.uri https://www.agronomy.org/publications/aj/articles/106/1/219 en_US
dc.rights Permission to archive granted by American Society of Agronomy, Feb. 28, 2014. en_US
dc.subject Leaf area index en_US
dc.subject Sorghum en_US
dc.title A simple quantitative model to predict leaf area index in sorghum en_US
dc.type Article (publisher version) en_US
dc.date.published 2014 en_US
dc.citation.doi doi:10.2134/agronj2013.0311 en_US
dc.citation.epage 226 en_US
dc.citation.issue 1 en_US
dc.citation.jtitle Agronomy Journal en_US
dc.citation.spage 219 en_US
dc.citation.volume 106 en_US
dc.contributor.authoreid raiken en_US
dc.contributor.authoreid vara en_US

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