Proceedings ArticleDOI
Phenotyping of xylem vessels for drought stress analysis in rice
Swati Bhugra,Anupama Anupama,Santanu Chaudhury,Brejesh Lall,Archana Chugh +4 more
- pp 428-431
TLDR
An image processing pipeline is developed that comprises of low level processing which enables high-throughput detection of xylem vessels and successfully captures the phenotypic difference between MTU-1010 (d drought susceptible rice cultivar) and Sahbhagi Dhan (drought tolerant Rice cultivar).Abstract:
Xylem vessels play a pivotal role in plant adaptation to drought stress. In this paper, we propose a novel framework that associates automatic segmentation of xylem vessels with its morphological features as a quantitative proxy to predict drought stress response (DSR). We develop an image processing pipeline that comprises of low level processing which enables high-throughput detection of xylem vessels. With no prior information about its size and location, the proposed detection methodology gives an accuracy of 98%. The labelled data for DSR are either not available or are subjectively developed, which is a low-throughput and error prone task. We resolve this problem by employing simplex volume maximization (SiVM) algorithm. The convex representations obtained from SiVM for each xylem in microscopic images based on its shape factors are aggregated to get an automated scoring of the whole plant. Bhattacharya distance is then employed to obtain the divergence of these responses w.r.t. the control group. The proposed framework successfully captures the phenotypic difference between MTU-1010 (drought susceptible rice cultivar) and Sahbhagi Dhan (drought tolerant rice cultivar).read more
Citations
More filters
Journal ArticleDOI
Morphological, transcriptomic and proteomic responses of contrasting rice genotypes towards drought stress
TL;DR: In this paper, morphological, physiological, biochemical and molecular variations between drought tolerant (PB6 and Moroberakan) and drought sensitive (Way Rarem) varieties have been evaluated, and notable differences have been observed in root morphology, root xylem number and area, stomata number, relative water content, proline content, protein and gene expression.
Proceedings ArticleDOI
Drought Stress Classification Using 3D Plant Models
TL;DR: This paper proposes a novel end-to-end pipeline including 3D reconstruction, segmentation and feature extraction, leveraging deep neural networks at various stages, for drought stress study, and shows that the network outperforms conventional methods.
Posted Content
Drought Stress Classification using 3D Plant Models
TL;DR: In this article, the authors proposed an end-to-end pipeline including 3D reconstruction, segmentation and feature extraction, leveraging deep neural networks at various stages, for drought stress study to overcome the high degree of self-similarities and self-occlusions in plant canopy.
Book ChapterDOI
Extraction of Phenotypic Traits for Drought Stress Study Using Hyperspectral Images
TL;DR: This work proposes a novel framework for phenotypic discovery based on autoencoders, which is trained using Simple Linear Iterative Clustering (SLIC) superpixels and shows potential by separating the plant responses into three classes with a finer granularity.
References
More filters
Journal ArticleDOI
Root traits contributing to plant productivity under drought.
Louise H. Comas,Steven R. Becker,Von Mark V. Cruz,Von Mark V. Cruz,Patrick F. Byrne,David A. Dierig +5 more
TL;DR: Xylem pit anatomy that makes xylem less “leaky” and prone to cavitation warrants further exploration holding promise that such traits may improve plant productivity in water-limited environments without negatively impacting yield under adequate water conditions.
Journal ArticleDOI
Machine Learning for High-Throughput Stress Phenotyping in Plants
TL;DR: This work provides a comprehensive overview and user-friendly taxonomy of ML tools to enable the plant community to correctly and easily apply the appropriate ML tools and best-practice guidelines for various biotic and abiotic stress traits.
Journal ArticleDOI
Does Morphological and Anatomical Plasticity during the Vegetative Stage Make Wheat More Tolerant of Water Deficit Stress Than Rice
TL;DR: Shoot and root morphology and root anatomical plasticity facilitate effective water uptake and use, making wheat more tolerant of water deficit stress than rice, and the key traits determining the adaptation of wheat to dryland conditions have been summarized and discussed.
Journal ArticleDOI
Phenotypic Diversity of Root Anatomical and Architectural Traits in Zea Species
TL;DR: P phenotypic diversity for root traits in the genus Zea could be a valuable resource for improving stress tolerance in maize and cluster analysis divided accessions into eight root phenotypes.
Journal ArticleDOI
RootScan : Software for high-throughput analysis of root anatomical traits
TL;DR: RootScan permits phenotypic scoring of physiologically and agronomically important traits on a large number of genotypes and offers considerable improvements in the amount and quality of data, ease of use, and time needed for data collection.