Literature DB >> 33169366

Nondestructive estimation of leaf area for 15 species of vines with different leaf shapes.

Xiaojing Yu1, Peijian Shi1,2, Julian Schrader3, Karl J Niklas4.   

Abstract

PREMISE: The nondestructive measurement of leaf area is important for expediting data acquisition in the field. The Montgomery equation (ME) assumes that leaf area (A) is a proportional function of the product of leaf length (L) and width (W), i.e., A = cLW, where c is called the Montgomery parameter. The ME has been successfully applied to calculate the surface area of many broad-leaved species with simple leaf shapes. However, whether this equation is valid for more complex leaf shapes has not been verified.
METHODS: Leaf A, L, and W were measured directly for each of 5601 leaves of 15 vine species, and ME and three other models were used to fit the data. All four models were compared based on their root mean square errors (RMSEs) to determine whether ME provided the best fit.
RESULTS: The ME was a reliable method for estimating the A of all 15 species. In addition, the numerical values of 13 of the 15 values of c fell within a previously predicted numerical range (i.e., between 1/2 and π/4). The data show that the numerical values of c are largely affected by the value of W/L, the concavity of the leaf base, and the number of lobes on the lamina.
CONCLUSIONS: The Montgomery parameter can reflect the influence of leaf shape on leaf-area calculations and can serve as an important tool for nondestructive measurements of leaf area for many broad-leaved species and for the investigation of leaf morphology.
© 2020 Botanical Society of America.

Keywords:  Montgomery equation; leaf base; leaf length; leaf shape; leaf width

Year:  2020        PMID: 33169366     DOI: 10.1002/ajb2.1560

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  7 in total

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7.  Application of an Ovate Leaf Shape Model to Evaluate Leaf Bilateral Asymmetry and Calculate Lamina Centroid Location.

Authors:  Yirong Li; Yiwen Zheng; David A Ratkowsky; Hailin Wei; Peijian Shi
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  7 in total

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