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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Improving indirect measurements of the leaf area index using canopy height

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Author(s):
Alexandre Ortega Gonçalves [1] ; Evandro Henrique Figueiredo Moura da Silva [2] ; Letícia Gonçalves Gasparotto [3] ; Juliano Mantelatto Rosa [4] ; Stephanie do Carmo [5] ; Izael Martins Fattori Júnior [6] ; Fabio Ricardo Marin [7]
Total Authors: 7
Affiliation:
[1] Embrapa Solos - Brasil
[2] Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz. Departamento de Engenharia de Biossistemas - Brasil
[3] Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz. Departamento de Engenharia de Biossistemas - Brasil
[4] Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz. Departamento de Engenharia de Biossistemas - Brasil
[5] Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz. Departamento de Engenharia de Biossistemas - Brasil
[6] Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz. Departamento de Engenharia de Biossistemas - Brasil
[7] Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz. Departamento de Engenharia de Biossistemas - Brasil
Total Affiliations: 7
Document type: Journal article
Source: Pesquisa Agropecuária Brasileira; v. 55, 2020-12-07.
Abstract

Abstract: The objective of this work was to evaluate the use of plant height as a calibration variable for improving indirect measurements of the leaf area index (LAI). Three experiments were conducted with different crops - corn (Zea mays), soybean (Glycine max), and sugarcane (Saccharum officinarum) -, to compare the performance of the LAI measured indirectly (LAIind) and corrected by the calibration variable with the LAI measured directly (LAIref). Without the proposed correction, the LAIind tended to be overestimated by 20%, on average, compared with the LAIref, for the three crops. After crop height was used to adjust the LAIind, a strong positive relationship was observed between the LAIref and the corrected LAIind (R2 = 0.96); overestimation was reduced to 4% and the root-mean-square error decreased to 0.35 m2 m-2. The variable canopy height is promising for the correction of the LAI of the soybean, corn, and sugarcane crops. (AU)

FAPESP's process: 17/20925-0 - Brazilian yield-gap atlas: assessing the potential for sustainable intensification of Brazilian agriculture
Grantee:Fabio Ricardo Marin
Support Opportunities: Regular Research Grants
FAPESP's process: 17/50445-0 - Brazilian yield-gap atlas: assessing the potential for sustainable intensification of Brazilian agriculture
Grantee:Fabio Ricardo Marin
Support Opportunities: Regular Research Grants