ArticleFrontiers in plant science2019
Advanced Imaging for Quantitative Evaluation of Aphanomyces Root Rot Resistance in Lentil.
Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 47 citations in OpenAlex.
- Comparative genomic analysis of QTL for resistance to Aphanomyces euteiches between pea, lentil, faba bean, and the model species Medicago truncatula.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Plant phenomics (Washington, D.C.) · 2024Article
- Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics.Frontiers in plant science · 2023Article
- Evaluation of Effective Class-Balancing Techniques for CNN-Based Assessment of Aphanomyces Root Rot Resistance in Pea (Sensors (Basel, Switzerland) · 2022Article
- High-Throughput Extraction of Seed Traits Using Image Acquisition and Analysis.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Omics Path to Increasing Productivity in Less-Studied Crops Under Changing Climate-Lentil a Case Study.Frontiers in plant science · 2022Review
- Resources for image-based high-throughput phenotyping in crops and data sharing challenges.Plant physiology · 2021Article
- Crop Performance Evaluation of Chickpea and Dry Pea Breeding Lines Across Seasons and Locations Using Phenomics Data.Frontiers in plant science · 2021Article
- A Novel Computational Framework for Precision Diagnosis and Subtype Discovery of Plant With Lesion.Frontiers in plant science · 2021Article
- Dissecting the Genetic Architecture of Aphanomyces Root Rot Resistance in Lentil by QTL Mapping and Genome-Wide Association Study.International journal of molecular sciences · 2020Article
- Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil.Plant phenomics (Washington, D.C.) · 2020Article
- The Invisible Frontline: High-Tech Root Imaging for Crop Stress Adaptation.Physiologia plantarumReview
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aphanomyces root rot (ARR) is a soil-borne disease that results in severe yield losses in lentil. The development of resistant cultivars is one of the key strategies to control this pathogen. However, the evaluation of disease severity is limited to visual scores that can be subjective. This study utilized image-based phenotyping approaches to evaluate
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.