Estimation of Leaf Area of Jackfruit Through Non-destructive Method

Oliveira, Vinicius de Souza and Hell, Leonardo Raasch and Santos, Karina Tiemi Hassuda dos and Pelegrini, Hugo Rebonato and Santos, Jéssica Sayuri Hassuda and Oliveira, Graziela Evencio de and Nascimento, Adriel Lima and Santos, Gleyce Pereira and Schmildt, Omar and Czepak, Marcio Paulo and Arantes, Sara Dousseau and Alexandre, Rodrigo Sobreira and Schmildt, Edilson Romais (2019) Estimation of Leaf Area of Jackfruit Through Non-destructive Method. Journal of Agricultural Science, 11 (6). p. 77. ISSN 1916-9752

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Abstract

The objective of this study was to determine mathematical equations that estimate the leaf area of jackfruit (Artocarpus heterophyllus) in an easy and non-destructive way based on linear dimensions. In this way, 300 leaves of different sizes and in good sanitary condition of adult plants were collected at the Federal Institute of Espírito Santo, Campus Itapina, located in Colatina, municipality north of the State of Espírito Santo, Brazil. Were measured The length (L) along the midrib and the maximum leaf width (W), observed leaf area (OLA), besides the product of the multiplication of length with width (LW), length with length (LL) and width with width (WW). The models of linear equations of first degree, quadratic and power and their respective R2 were adjusted using OLA as dependent variable in function of L, W and LW, LL and WW as independent variable. The data were validated and the estimated leaf area (ELA) was obtained. The means of ELA and OLA were compared by Student’s t test (5% probability) and were evaluated by the mean absolute error (MAE) and root mean square error (RMSE) criteria. The choice of the best model was based on non-significant comparative values of ELA and OLA, in addition to the closest values of zero of EAM and RQME. The jackfruit leaf area estimate can be determined quickly, accurately and non-destructively by the linear first-order model with LW as the independent variable by equation ELA = 1.07451 + 0.71181(LW).

Item Type: Article
Subjects: STM Digital > Agricultural and Food Science
Depositing User: Unnamed user with email support@stmdigital.org
Date Deposited: 13 May 2023 07:42
Last Modified: 08 Jun 2024 09:08
URI: http://research.asianarticleeprint.com/id/eprint/824

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