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Systematic establishment of colour descriptor states through image-based phenotyping

Published online by Cambridge University Press:  16 October 2018

Renerio P. Gentallan Jr. ,
Nestor C. Altoveros ,
Teresita H. Borromeo ,
Leah E. Endonela ,
Fiona R. Hay ,
Antonio G. Lalusin ,
Consorcia E. Reaño  and
Yosuke Yoshioka
Renerio P. Gentallan Jr.*
Affiliation:
Institute of Crop Science, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines
Nestor C. Altoveros
Affiliation:
Institute of Crop Science, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines
Teresita H. Borromeo
Affiliation:
Institute of Crop Science, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines
Leah E. Endonela
Affiliation:
Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines
Fiona R. Hay
Affiliation:
Department of Agroecology, Aarhus Universit, Forsøgsvej 1, 4200 Slagelse, Denmark
Antonio G. Lalusin
Affiliation:
Institute of Crop Science, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines
Consorcia E. Reaño
Affiliation:
Institute of Statistics, College of Arts and Science, University of the Philippines Los Baños, College, Laguna, Philippines
Yosuke Yoshioka
Affiliation:
Faculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan
*
*Corresponding author. E-mail: [email protected]
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Abstract

A systematic method for determining colour descriptor states using image analysis is proposed using pili (Canarium ovatum) as a model. Kernel images of 52 pili accessions from the core collection of the Institute of Crop Science and National Plant Genetic Resources Laboratory, University of the Philippines Los Baños were captured using a calibrated VideometerLab 3 setup. Colour descriptor states were derived from the average International Commission on Illumination lightness (L*), green–red (a*) and blue–yellow (b*) colour component values. Cluster analysis and subsequent colour-parameter averaging per cluster were performed to produce representative colour values of descriptor states. The Euclidian distance (Delta E) of 3.5 was used to cut the cluster into readily distinguishable colour differences resulting to three descriptor states – light brown, brown and dark brown. Continuous colour variation of brown colour was observed indicating a possible quantitative nature of the trait. The use of delta E in elucidating the descriptor lists served as a gauge in successfully identifying distinguishable variations between colours. The method described can be applied to the elucidation of colour descriptor states of all parts of the plant of all crop species.

Keywords

Canarium ovatumcharacterizationdescriptor statesimage-based phenotypingobjective colour
Type
Short Communication
Information
Plant Genetic Resources , Volume 17 , Issue 1 , February 2019 , pp. 91 - 94
Copyright
Copyright © NIAB 2018 

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