Growth of pineapple plantlets during acclimatisation can be monitored through automated image analysis of the canopy

IF 1.2 Q3 MULTIDISCIPLINARY SCIENCES The EuroBiotech Journal Pub Date : 2020-10-01 DOI:10.2478/ebtj-2020-0026
G. Soto, G. Lorente, Jessica Mendoza, Evelio Dany Báez, Carlos Manuel Lorenzo, R. Rodríguez, E. Hajari, Ó. Vicente, José Carlos Lorenzo, Evelio Báez
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引用次数: 1

Abstract

Abstract Pineapple is an economically important tropical fruit crop, but the lack of adequate planting material limits its productivity. A range of micropropagation protocols has been developed over the years to address this shortfall. Still, the final stage of micropropagation, i.e. acclimatisation, remains a challenge as pineapple plantlets grow very slowly. Several studies have been conducted focusing on this phase and attempting to improve plantlet growth and establishment, which requires tools for the non-destructive evaluation of growth during acclimatisation. This report describes the use of semi-automated and automated image analysis to quantify canopy growth of pineapple plantlets, during five months of acclimatisation. The canopy area progressively increased during acclimatisation, particularly after 90 days. Regression analyses were performed to determine the relationships between the automated image analysis and morphological indicators of growth. The mathematical relationships between estimations of the canopy area and the fresh and dry weights of intact plantlets, middle-aged leaves (D leaves) and roots showed determination coefficients (R2) between 0.84 and 0.92. We propose an appropriate tool for the simple, objective and non-destructive evaluation of pineapple plantlets growth, which can be generally applied for plant phenotyping, to reduce costs and develop streamlined pipelines for the assessment of plant growth.
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在适应过程中,菠萝植株的生长可以通过树冠的自动图像分析来监测
菠萝是一种经济上重要的热带水果作物,但缺乏充足的种植材料限制了其生产力。为了解决这一不足,多年来开发了一系列微传播协议。然而,由于菠萝植株生长缓慢,微繁的最后阶段,即驯化,仍然是一个挑战。针对这一阶段已经进行了几项研究,并试图改善植株的生长和建立,这需要在适应过程中对生长进行无损评估的工具。本报告描述了在五个月的适应过程中,使用半自动和自动图像分析来量化菠萝植株的冠层生长。冠层面积在驯化过程中逐渐增加,特别是在90天后。进行回归分析以确定自动图像分析与生长形态指标之间的关系。冠层面积估计值与完整植株、中期叶片(D叶)和根系鲜重、干重之间的数学关系为决定系数(R2)在0.84 ~ 0.92之间。我们提出了一种适用于菠萝植株生长的简单、客观、无损的评估工具,可广泛应用于植物表型分析,从而降低成本,为植物生长评估提供流水线。
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来源期刊
The EuroBiotech Journal
The EuroBiotech Journal Agricultural and Biological Sciences-Food Science
CiteScore
3.60
自引率
0.00%
发文量
17
审稿时长
10 weeks
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