Leaf area estimation in Jatropha curcas (L.): an update

Leaf area estimation in Jatropha curcas (L.): an update. Santos, M. A. d., Jarma-Orozco, A., Lozano-Isla, F., Barros, J. N. S., Rivera, J., Espitia-Romero, C., Castillejo-Morales, Á., Jarma-Arroyo, B., & Pompelli, M. F. AIMS Environmental Science, 5(5):353–371, December, 2018.

Paper doi abstract bibtex

We aimed to propose a reliable and accurate model using non-destructive measurements of leaf length (L) and/or width (W) for estimating leaf area (LA) of three genotypes of purging nut (Jatropha curcas L.), i.e. Astrea and Barranca, both Colombian and a Mexican genotype. For model construction, \textasciitilde500 healthy leaves were collected from at least 20 healthy plants naturally grown at each locations, and encompassed the full spectrum of measurable leaf sizes. Equations with L and/or W were generated; however, the best fit were made when product between L and W (LW). To validate these models, independent data set of 450 leaves were used. Thus, we developed a single model (Y$_{\textrm{i}}$ = β$_{\textrm{0}}$ * LW$^{\textrm{β1}}$) with high precision and accuracy, random dispersion pattern of residuals and unbiased. In spite of this, a single equation, joining all the studied genotypes, was developed [LA = 0.822 * (LW)$^{\textrm{0.983}}$; standard errors: β$_{\textrm{0}}$ = 0.020, β$_{\textrm{1}}$ = 0.004; R$^{\textrm{2}}$$_{\textrm{a}}$ = 0.976], which greatly simplifies the process of measuring the leaf area of the genotypes, a fact that should be highlighted.

@article{santos2018Leaf,
	title = {Leaf area estimation in \textit{{Jatropha} curcas} ({L}.): an update},
	volume = {5},
	copyright = {http://creativecommons.org/licenses/by/3.0/},
	shorttitle = {Leaf area estimation in \textit{{Jatropha} curcas} ({L}.)},
	url = {http://www.aimspress.com/article/10.3934/environsci.2018.5.353},
	doi = {10.3934/environsci.2018.5.353},
	abstract = {We aimed to propose a reliable and accurate model using non-destructive measurements of leaf length (L) and/or width (W) for estimating leaf area (LA) of three genotypes of purging nut (\textit{Jatropha curcas} L.), \textit{i.e. Astrea} and \textit{Barranca}, both Colombian and a Mexican genotype. For model construction, {\textasciitilde}500 healthy leaves were collected from at least 20 healthy plants naturally grown at each locations, and encompassed the full spectrum of measurable leaf sizes. Equations with L and/or W were generated; however, the best fit were made when product between L and W (LW). To validate these models, independent data set of 450 leaves were used. Thus, we developed a single model (\textit{Y$_{\textrm{i}}$} = β$_{\textrm{0}}$ * LW$^{\textrm{β1}}$) with high precision and accuracy, random dispersion pattern of residuals and unbiased. In spite of this, a single equation, joining all the studied genotypes, was developed [LA = 0.822 * (LW)$^{\textrm{0.983}}$; standard errors: β$_{\textrm{0}}$ = 0.020, β$_{\textrm{1}}$ = 0.004; R$^{\textrm{2}}$$_{\textrm{a}}$ = 0.976], which greatly simplifies the process of measuring the leaf area of the genotypes, a fact that should be highlighted.},
	language = {en},
	number = {5},
	urldate = {2018-12-13},
	journal = {AIMS Environmental Science},
	author = {Santos, Marcos André dos and Jarma-Orozco, Alfredo and Lozano-Isla, Flavio and Barros, José Nailson S. and Rivera, Jesús and Espitia-Romero, Carlos and Castillejo-Morales, Ángela and Jarma-Arroyo, Betty and Pompelli, Marcelo Francisco},
	month = dec,
	year = {2018},
	pages = {353--371}
}

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For model construction, {\\textasciitilde}500 healthy leaves were collected from at least 20 healthy plants naturally grown at each locations, and encompassed the full spectrum of measurable leaf sizes. Equations with L and/or W were generated; however, the best fit were made when product between L and W (LW). To validate these models, independent data set of 450 leaves were used. Thus, we developed a single model (\\textit{Y$_{\\textrm{i}}$} = β$_{\\textrm{0}}$ * LW$^{\\textrm{β1}}$) with high precision and accuracy, random dispersion pattern of residuals and unbiased. 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