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A simple and non-destructive model for individual leaf area estimation in citrus

Published online by Cambridge University Press:  04 October 2010

Renata Bachin Mazzini*
Affiliation:
 Univ. Estadual Paulista ‘Júlio de Mesquita Filho’, Departamento de Produção Vegetal, Via de Acesso Prof. Paulo Donato Castellane s/n, 14884-900 Jaboticabal/SP, Brazil
Rafael Vasconcelos Ribeiro
Affiliation:
 Inst. Agron., Av. Barão de Itapura 1481, CP 28 13012-970 Campinas/SP, Brazil
Rose Mary Pio
Affiliation:
 Inst. Agron., Av. Barão de Itapura 1481, CP 28 13012-970 Campinas/SP, Brazil
*
* Correspondence and reprints
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Abstract

Introduction. Leaf area is often related to plant growth, development, physiology and yield. Many non-destructive models have been proposed for leaf area estimation of several plant genotypes, demonstrating that leaf length, leaf width and leaf area are closely correlated. Thus, the objective of our study was to develop a reliable model for leaf area estimation from linear measurements of leaf dimensions for citrus genotypes. Materials and methods. Leaves of citrus genotypes were harvested, and their dimensions (length, width and area) were measured. Values of leaf area were regressed against length, width, the square of length, the square of width and the product (length × width). The most accurate equations, either linear or second-order polynomial, were regressed again with a new data set; then the most reliable equation was defined. Results and discussion. The first analysis showed that the variables length, width and the square of length gave better results in second-order polynomial equations, while the linear equations were more suitable and accurate when the width and the product (length × width) were used. When these equations were regressed with the new data set, the coefficient of determination (R2) and the agreement index ‘d’ were higher for the one that used the variable product (length × width), while the Mean Absolute Percentage Error was lower. Conclusion. The product of the simple leaf dimensions (length × width) can provide a reliable and simple non-destructive model for leaf area estimation across citrus genotypes.

Type
Original article
Copyright
© 2010 Cirad/EDP Sciences

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