Short communication.Validation of a leaf area estimation model for sweet cherry

Leaf area estimation is a very important indicator in studies related to plant anatomy, morphology and physiology, and in many cases, it is a fundamental criterion to understand plant response to input conditions. Although there are leaf area prediction models have been produced for some plant species, a leaf area estimation model has not yet been developed for the zucchini. The objective of this paper was to determine the leaf area based on destructive and non-destructive methods for zucchini. The accuracy of measurement methods was evaluated and compared to determinations of the leaf area by the scanning integration method (LICOR equipment LI 3100C), considered as standard procedure. Non-destructive methods consisted of digital photography and measurement of leaf dimensions (width and length) based on ImageJ software. The destructive methods used were a) leaf area integrator LI-3100C, b) determination of leaf mass and c) weighing of leaf discs punched from the leaves. According to statistical parameters that evaluate the performance of the analyzed methods: determination coefficient (R2), Pearson (r) correlation coefficient, Willmott agreement index (d) and Camargo and Sentelhas performance index (c) the parameters presented values higher than 0.8820, classifying the methods as very good, whereas the modeling efficiency index (NSE) and the percentage of bias (PBIAS) also classified the methods as very good (0.87≤NSE≤0.99; -4.80≤PBIAS≤1.40), except the ImageJ method without correction (NSE=0.77; PBIAS = -22.70).

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Non-destructive leaf area estimation model for faba bean (Vicia faba L.)

Scientia Horticulturae ◽

10.1016/j.scienta.2007.04.003 ◽

2007 ◽

Vol 113 (4) ◽

pp. 322-328 ◽

Cited By ~ 62

Author(s):

Erkut Peksen

Keyword(s):

Leaf Area ◽

Vicia Faba ◽

Faba Bean ◽

Estimation Model ◽

Area Estimation ◽

Vicia Faba L ◽

Non Destructive

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Development of the Nondestructive Leaf Area Estimation Model for Valeriana (Valeriana jatamansi Jones)

Communications in Soil Science and Plant Analysis ◽

10.1080/00103624.2016.1253723 ◽

2016 ◽

Vol 48 (1) ◽

pp. 83-91 ◽

Cited By ~ 2

Author(s):

Swati Walia ◽

Rakesh Kumar

Keyword(s):

Leaf Area ◽

Estimation Model ◽

Area Estimation ◽

Valeriana Jatamansi

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Non-Destructive Leaf Area Estimation Model for Overall Growth Performances in Relation to Yield Attributes of Cassava (Manihot esculenta Cranz) under Water Deficit Conditions

Notulae Botanicae Horti Agrobotanici Cluj-Napoca ◽

10.15835/nbha47311487 ◽

2019 ◽

Vol 47 (3) ◽

Cited By ~ 1

Author(s):

Piyanan PIPATSITEE ◽

Apisit EIUMNOH ◽

Patchara PRASEARTKUL ◽

Navavit PONGANAN ◽

Kanyarat TAOTA ◽

...

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Water Deficit ◽

Growth And Yield ◽

Water Deficit Stress ◽

Storage Root ◽

Estimation Model ◽

Area Index ◽

Area Estimation ◽

Non Destructive

Cassava is a tropical storage root crop, a source of carbohydrate and alternative energy. It has been classified as “drought tolerant plant” for the whole life cycle, except during the root initiation stage (120-150 DAP). Leaf area index (LAI) is one of the most parameters representing the overall growth and yield prediction in cassava. The aim of this investigation was to validate the physiological and growth performance of cassava in responses to water deficit stress in the field trial as well as to investigate the leaf area index as an important factor to cassava growth and storage root bulking. Leaf relative water content in cassava declined significantly upon a long period of water withholding, and regulated non-photochemical quenching (NPQ), leading to chlorophyll degradation, reduced number of leaves and limited leaf area index (LAI) and loss of storage root yield when compared with well-irrigated plants. Non-destructive leaf area estimation model under water deficit stress condition using spectral reflectance to determine the LAI and VIs was validated. The Ratio Vegetation Index (RVI) was suitable model with high coefficient of determination (R2 = 0.89). However, the RVI as LAI at 150 DAP (120 d water withholding) could be considered as the critical point to indicate cassava growth and yield performance. Based on the results, cassava growth, biomass and yield in the different environments may further be investigated, taking into consideration the genotypic variation and using remote sensing technology for rapid monitoring and accurate and cost-effective data assessment. ********* In press - Online First. Article has been peer reviewed, accepted for publication and published online without pagination. It will receive pagination when the issue will be ready for publishing as a complete number (Volume 47, Issue 3, 2019). The article is searchable and citable by Digital Object Identifier (DOI). DOI link will become active after the article will be included in the complete issue. *********

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