Can leaf area in rice be defined by a mathematical model?

Authors

  • Bruna San Martin Rolim Ribeiro UFSM
  • Michel Rocha da Silva UFSM
  • Gean Leonardo Richter UFSM
  • Giovana Ghisleni Ribas UFSM
  • Nereu Augusto Streck UFSM
  • Alencar Junior Zanon UFSM

Keywords:

Oryza sativa, leaf area index, non-destructive method, linear dimensions

Abstract

The goal of this study was to define an empirical model to calculate the leaf area in rice from linear leaf measure in genotypes used by farmers in Brazil. Through the leaf dimensions it is possible to identify the final crop yield from the LAI. Therefore, the leaves shape is closely related to the production of photoassimilates that will be converted into grain yield. Field experiments were carried out in four counties of Rio Grande do Sul with twelve-three varieties of rice in four growing seasons. We measured the length and width of leaves to construct the model. The relationship between leaf area and linear dimensions was shaped using a linear model for each genotype, and general model grouping all genotypes. The model accuracy was measure following statistics: Root Mean Square Error, BIAS, modified index of agreement and coefficient r. The non-destructive method for individual leaves was appropriate for estimating the leaf area in rice. Moreover, the general equation was estimated and can be used for all modern genotypes of rice in Brazil.

References

Adami M, Hastenreiter FA, Flumignan DL & Faria RT (2008) Soybean leaflet area estimation using digital imagery and leaf dimensions. Bragantia, 67:1053-1058.

Aschonitis VG, Papamichail DM, Lithourgidis A & Fano EA (2014) Estimation of Leaf Area Index and Foliage Area Index of Rice using an Indirect Gravimetric Method. Communications in Soil Science and Plant Analysis, 45:1726-1740.

Bakhshandeh E, Kamkar B & Tsialtas JT (2011) Application of linear models for estimation of leaf area in soybean [Glycine max (L.) Merr]. Photosynthetica, 49:405-416.

Bhan VM & Pande HK (1966) Measurement of leaf area of rice. Agronomy Journal, 58:454.

Braga NS, Araujo ACA, Araújo IDA, Souza AAS de, Cunha DS da, Gil VJR, Rocha I de S, Almeida JVS de & Silva RTL da (2018) Mathematical models for teak foliar area estimation (Tectonas grandis L. F.) Nucleus, 15:331-339.

Brantley ST, Zinnert JC & Young DR (2011) Application of hyperspectral vegetation indices to detect variations in high leaf area index temperate shrub thicket canopies. Remote Sensing of Environment, 115:514-523.

Cargnelutti Filho A, Toebe M, Alves BM, Burin C & Kleinpaul JA (2015) Leaf area estimation of canola by leaf dimensions. Bragantia, 74:139-148.

Espe MB, Cassman KG, Yang H, Guilpart N, Grassini P, Van Wart J, Anders M, Beighley D, Harrell D, Linscombe S, McKenzie K, Mutters R, Wilson LT & Linquist BA (2016) Yield gap analysis of US rice production systems shows opportuneities for improvement. Field Crops Research, 196:276-283.

Fagundes JD, Streck NA & Kruse ND (2009) Estimating leaf area of Aspilia montevidensis (Spreng.) Kuntze using linear dimensions. Revista Ceres, 56:266-273.

Hirooka Y, Homma K & Shiraiwa (2018) Parameterization of the vertical distribution of leaf area index (LAI) in rice (Oryza sativa L.) using a plant canopy analyzer. Scientific reports, 8:6387.

Janssen PHM & Heuberger PSC (1995) Calibration of processoriented models. Ecological Modelling, 83:55-56.

Leite HG & Andrade VCL (2002) A method for conducting forest inventories without using volumetric equations. Revista Árvore, 26:321-328.

Liu X, Cao Q, Yaun Z, Wang X, Tian Y, Cao W & Znu Y (2018) Leaf area index based nitrogen diagnosis in irrigated lowland rice. Journal of Integrative Agriculture, 17:111-121.

Jin M, Liu X & Zhang B (2017) Evaluating Heavy-Metal Stress Levels in Rice Using a Theoretical Model of Canopy-Air Temperature and Leaf Area Index Based on Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing PP, 99:01-11.

Maldaner IC, Heldwein AB, Loose LH, Lucas DDP, Guse FI & Bortoluzzi MP (2009) Models for estimating leaf area in sunflower. Ciência Rural, 39:1356-1361.

Marshall JK (1968) Methods of leaf area measurement of large and small leaf samples. Photosynthetica, 2:41-47.

Palaniswamy KM & Gomez KA (1974) Length-width method for estimating leaf area of rice. Agronomy Journal, 66:430-3.

Ribas GG, Streck NA, Lago I, Zanon AJ, Waldow DAG, Junior AJD, Nascimento M de F do & Fontana V (2017) Accumulated dry matter and grain yield in flooded hybrid rice simulated with the SimulArroz model. Pesquisa Agropecuária Brasileira 51:1907-1917.

Richter GL, Zanon AJ, Streck NA, Guedes JVC, Kräulich B, Rocha TSM, Winck JEM & Cera JC (2014) Estimating leaf area of modern soybean cultivars by a non-destructive method. Bragantia, 73:416-425.

Samboranha FK, Streck NA, Uhlmann LO & Gabriel LF (2013) Mathematical modeling of leaf development in the cassava. Revista Ciência Agronômica, 44:815-824.

Schwab NT, Streck NA, Rehbein A, Ribeiro BSMR, Ulhmann LO, Langner JA & Becker CC (2014) Linear dimensions of leaves and its use for estimating the vertical profile of leaf area in gladiolus. Bragantia, 73:97-105.

Silveira P (1985) Melhoramento genético: outro fator decisivo na produtividade do arroz gaúcho. Revista Lavoura Arrozeira, 58:01-11.

Taiz L & Zeiger E (2013) Fisiologia vegetal. Porto Alegre, Artmed. 954p.

Tanaka A & Kawano K (1965) Leaf Characters Relating to Nitrogen Response in the Rice Plant. Soil Science and Plant Nutrition, 11:31-38.

Van Ittersum MK, Cassman KG, Grassini P, Wolf J, Tittonell P & Hochman Z (2013) Yield gap analysis with local to global relevance – a review. Field Crop Research, 143:04-17.

White MA, Asner GP, Nemani RR, Privette JL & Running SW (2000) Measuring fractional cover and leaf area index in arid ecosystems: Digital camera, radiation transmittance, and laser altimetry methods. Remote Sensing of Environment, 74:45-57.

Willmott CJ, Ackleson SG, Davis JJ, Feddema KM & Klink DR (1985) Statistics for the evaluation and comparison of models. Journal of Geophysical Research, 90:8995-9005.

Xiao X, He L, Salas W, Li C, Moore B, Zhao R, Frolking S & Boles S (2002) Quantitative relationships between field-measured leaf area index and vegetation index derived from vegetation images for paddy rice fields. International Journal of Remote Sensing, 23:3595-3604.

Yang Y, Zhang M, Xu Q, Feng Y, Yuan X, Yu H & Wei X (2018) Exploration of genetic selection in rice leaf length and width. Botany, 96:249-256.

Downloads

Published

2025-05-07

How to Cite

San Martin Rolim Ribeiro, B., Rocha da Silva, M., Richter, G. L., Ghisleni Ribas, G., Streck, N. A., & Junior Zanon, A. (2025). Can leaf area in rice be defined by a mathematical model?. Revista Ceres, 66(3), 191–199. Retrieved from https://ojs.ceres.ufv.br/ceres/article/view/7725

Issue

Section

PHYSIOLOGY AND MORPHOLOGY APPLIED TO AGRICULTURE

Most read articles by the same author(s)