Predicting Vase Life of Cut Lisianthus Based on Biomass-Related Characteristics Using AutoML

Author:

Kwon Hye Sook1,Heo Seong1ORCID

Affiliation:

1. Department of Horticulture, Kongju National University, Yesan 32439, Republic of Korea

Abstract

Lisianthus, a globally popular ornamental plant, has a variable vase life (5–28 days). This study investigated biomass-related characteristics of four cultivars grown in soil or hydroponic cultivation with different treatment timings (vegetative and reproductive stage) and concentrations (0, 0.1, 0.3, and 0.5 mM) of salicylic acid (SA) in order to explain vase life. The results show that the SA treatment effects varied depending on cultivar, SA treatment timing, concentration, and cultivation method. Principle component analysis revealed that Blue Picote cultivar cultivated hydroponically with 0.5 mM SA at the reproductive stage had the longest vase life. Furthermore, vase life demonstrated a high positive correlation with dry weight, SPAD, Mg content, and flowering day. We developed a model using automated machine learning algorithms to estimate postharvest vase life, based on biomass-related characteristics measured during the pre-harvest period. Similar to the PCA results, this model also identified dry weight as the most influential predictor of vase life. This model proposes the possibility of estimating vase life by setting characteristics highly correlated with vase life as features for machine learning. It is anticipated that this model will be widely utilized in the floriculture industry for standardizing cut flower quality assessments in the future.

Publisher

MDPI AG

Reference41 articles.

1. Fischer, G., and Angarita, A. (1999). Eustoma (Lisianthus)—Its past, present, and future. International Symposium on Cut Flowers in the Tropics, ISHS Acta Horticulturae, Bogota, ISHS. Available online: https://www.actahort.org/books/482/482_61.htm.

2. Improvement of postharvest life in several cut flowers by the addition of sucrose;Ichimura;Jpn. Agricult. Res. Quart.,1998

3. Role of post-harvest treatments in improving vase life of lisianthus (Eustoma grandiflorum) variety Mariachi Blue;Lakshmaiah;Int. J. Chem. Stud.,2019

4. Postharvest physiology and technology of cut Eustoma flowers;Ichimura;Jpn. Soc. Hort. Sci.,2010

5. Skutnik, E., Łukaszewska, A., and Rabiza-Świder, J. (2021). Effects of postharvest treatments with nanosilver on senescence of cut lisianthus (Eustoma grandiflorum (Raf.) Shinn.) flowers. Agronomy, 11.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3