Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)

Mathematical Model of Vegetative Growth of Porang (Amorphophallus muelleri) with Different Seed Quality

Authors
NA Nurrahmah1, AM Zahra1, *, Sri Rahayoe1, RE Masithoh1, Muhammad Pahlawan1, Laila Rahmawati2
1Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
2Research Center for Food Technology and Processing, National Research and Innovation Agency, Yogyakarta, Indonesia
*Corresponding author. Email: aryanismutiazahra@ugm.ac.id
Corresponding Author
AM Zahra
Available Online 28 December 2022.
DOI
10.2991/978-94-6463-086-2_32How to use a DOI?
Keywords
Growth; Quadratic Polynomial; Performance Model; Bulbil
Abstract

Porang (Amorphophallus muelleri) is a tuber plant used in the industrial production of glucomannan. Porang can be cultivated with bulbil (katak tubers) and spontaneously harvested vegetatively. Under certain harvest and storage conditions, infected bulbils can reduce seed quality, viability, and growth. This study developed a mathematical model to predict the vegetative growth of porang with different bulbil seed qualities. The physical properties and plant growth parameters of 90 seeds of non-infected and infected bulbil were measured and divided into the calibration set comprised of 60 samples. The validation set included the remaining 30 samples. Polynomial models were used to predict plant height which was developed based on the calibration set. In contrast, model evaluation was used Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Means Absolute Percentage Error (MAPE) were used to compare the calibration and validation set with the prediction data of plant height. The mathematical growth model using the polynomial model yielded the coefficient of determination (R2) of 0.9811 and 0.9824, with RMSE 0.4680 and 2.1504, MAE 0.0111 and 0.6694, and MAPE 0.8661 and 5.3096, for the calibration and validation sets of non-infected seed, respectively. Infected bulbil produced R2 of 0.9931 and 0.9926, with RMSE 0.5641 and 4.7765, MAE 0.0549 and 1.5163, and MAPE 3.4109 and 4.5561, for the calibration and validation sets, respectively. The R2 and the validation model showed that the mathematical model was feasible to predict the growth of non-infected and infected porang bulbil to assess the vegetative growth of porang seeds of different qualities.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
Series
Advances in Biological Sciences Research
Publication Date
28 December 2022
ISBN
10.2991/978-94-6463-086-2_32
ISSN
2468-5747
DOI
10.2991/978-94-6463-086-2_32How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - NA Nurrahmah
AU  - AM Zahra
AU  - Sri Rahayoe
AU  - RE Masithoh
AU  - Muhammad Pahlawan
AU  - Laila Rahmawati
PY  - 2022
DA  - 2022/12/28
TI  - Mathematical Model of Vegetative Growth of Porang (Amorphophallus muelleri) with Different Seed Quality
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 245
EP  - 253
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_32
DO  - 10.2991/978-94-6463-086-2_32
ID  - Nurrahmah2022
ER  -