A Guide to the Study of Plant Structure with Emphasis on Living Specimens

2015 ◽  
pp. 3-22 ◽  
Author(s):  
Edward C. Yeung
Keyword(s):  
Plant Structure

Plant Structure: Function and Development

1993 ◽  
Author(s):  
John A. Romberger ◽  
Zygmunt Hejnowicz ◽  
Jane F. Hill
Keyword(s):  
Structure Function ◽  
Plant Structure

scholarly journals Label3DMaize: toolkit for 3D point cloud data annotation of maize shoots

GigaScience ◽  
2021 ◽  
Vol 10 (5) ◽  
Author(s):  
Teng Miao ◽  
Weiliang Wen ◽  
Yinglun Li ◽  
Sheng Wu ◽  
Chao Zhu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Point Cloud ◽  
Training Dataset ◽  
Growth Stages ◽  
3D Point Cloud ◽  
Plant Structure ◽  
Data Annotation ◽  
Cloud Data ◽  
Point Cloud Segmentation ◽  
Different Growth Stages

Abstract Background The 3D point cloud is the most direct and effective data form for studying plant structure and morphology. In point cloud studies, the point cloud segmentation of individual plants to organs directly determines the accuracy of organ-level phenotype estimation and the reliability of the 3D plant reconstruction. However, highly accurate, automatic, and robust point cloud segmentation approaches for plants are unavailable. Thus, the high-throughput segmentation of many shoots is challenging. Although deep learning can feasibly solve this issue, software tools for 3D point cloud annotation to construct the training dataset are lacking. Results We propose a top-to-down point cloud segmentation algorithm using optimal transportation distance for maize shoots. We apply our point cloud annotation toolkit for maize shoots, Label3DMaize, to achieve semi-automatic point cloud segmentation and annotation of maize shoots at different growth stages, through a series of operations, including stem segmentation, coarse segmentation, fine segmentation, and sample-based segmentation. The toolkit takes ∼4–10 minutes to segment a maize shoot and consumes 10–20% of the total time if only coarse segmentation is required. Fine segmentation is more detailed than coarse segmentation, especially at the organ connection regions. The accuracy of coarse segmentation can reach 97.2% that of fine segmentation. Conclusion Label3DMaize integrates point cloud segmentation algorithms and manual interactive operations, realizing semi-automatic point cloud segmentation of maize shoots at different growth stages. The toolkit provides a practical data annotation tool for further online segmentation research based on deep learning and is expected to promote automatic point cloud processing of various plants.

The effect of nutrient level on plant structure and production in a wet grassland: a field study

Plant Ecology ◽  
2010 ◽  
Vol 212 (5) ◽  
pp. 809-819 ◽  
Author(s):  
Miroslava Káplová ◽  
Keith R. Edwards ◽  
Jan Květ
Keyword(s):  
Field Study ◽  
Nutrient Level ◽  
Plant Structure ◽  
Wet Grassland

Three-dimensional analysis of plant structure using high-resolution X-ray computed tomography

2003 ◽  
Vol 8 (1) ◽  
pp. 2-6 ◽  
Author(s):  
Wolfgang H Stuppy ◽  
Jessica A Maisano ◽  
Matthew W Colbert ◽  
Paula J Rudall ◽  
Timothy B Rowe
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Dimensional Analysis ◽  
Three Dimensional ◽  
Plant Structure ◽  
X Ray ◽  
X Ray Computed

scholarly journals Crayfish Feeding Preferences for Freshwater Macrophytes: The Influence of Plant Structure and Chemistry

2002 ◽  
Vol 22 (4) ◽  
pp. 708-718 ◽  
Author(s):  
Greg Cronin ◽  
Thomas Horvath ◽  
Niels Lindquist ◽  
Margaret Miller ◽  
Martin Wahl ◽  
...  
Keyword(s):  
Feeding Preferences ◽  
Plant Structure ◽  
Freshwater Macrophytes

scholarly journals Potassium: A Vital Regulator of Plant Responses and Tolerance to Abiotic Stresses

Agronomy ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 31 ◽  
Author(s):  
Mirza Hasanuzzaman ◽  
M. Bhuyan ◽  
Kamrun Nahar ◽  
Md. Hossain ◽  
Jubayer Mahmud ◽  
...  
Keyword(s):  
Abiotic Stress ◽  
Stress Tolerance ◽  
Molecular Mechanisms ◽  
Abiotic Stress Tolerance ◽  
Ion Homeostasis ◽  
Enzyme Activation ◽  
Regulatory Function ◽  
Plant Responses ◽  
Plant Structure ◽  
Physiological Processes

Among the plant nutrients, potassium (K) is one of the vital elements required for plant growth and physiology. Potassium is not only a constituent of the plant structure but it also has a regulatory function in several biochemical processes related to protein synthesis, carbohydrate metabolism, and enzyme activation. Several physiological processes depend on K, such as stomatal regulation and photosynthesis. In recent decades, K was found to provide abiotic stress tolerance. Under salt stress, K helps to maintain ion homeostasis and to regulate the osmotic balance. Under drought stress conditions, K regulates stomatal opening and helps plants adapt to water deficits. Many reports support the notion that K enhances antioxidant defense in plants and therefore protects them from oxidative stress under various environmental adversities. In addition, this element provides some cellular signaling alone or in association with other signaling molecules and phytohormones. Although considerable progress has been made in understanding K-induced abiotic stress tolerance in plants, the exact molecular mechanisms of these protections are still under investigation. In this review, we summarized the recent literature on the biological functions of K, its uptake, its translocation, and its role in plant abiotic stress tolerance.

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