ReviewJournal of biosciences2020
Plant phenomics: High-throughput technology for accelerating genomics.
Review in Journal of biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 46 citations in OpenAlex.
- Artificial intelligence-driven multi-omics integration for plant enhancement: advances, challenges, and future perspectives.Functional & integrative genomics · 2026Review
- Comprehensive phenomics and vegetative yield analysis of global kale (Brassica oleracea var. acephala) germplasm in controlled environment agriculture.BMC plant biology · 2026Article
- Gaining insights into epigenetic memories through artificial intelligence and omics science in plants.Journal of integrative plant biology · 2025Review
- Needle angle dynamics as a rapid indicator of drought stress inFrontiers in plant science · 2025Article
- Cultivation factors affecting durum wheat performance under speed breeding conditions.Frontiers in plant science · 2025Article
- OPIA: an open archive of plant images and related phenotypic traits.Nucleic acids research · 2024Article
- Revitalizing agriculture: next-generation genotyping and -omics technologies enabling molecular prediction of resilient traits in the Solanaceae family.Frontiers in plant science · 2024Review
- Effects of exogenous glycine betaine on growth and development of tomato seedlings under cold stress.Frontiers in plant science · 2024Article
- Stress phenotyping analysis leveraging autofluorescence image sequences with machine learning.Frontiers in plant science · 2024Article
- Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant's Abiotic Stress Tolerance Responses.Genes · 2023Review
- Quantifying physiological trait variation with automated hyperspectral imaging in rice.Frontiers in plant science · 2023Article
- Drought stress detection technique for wheat crop using machine learning.PeerJ. Computer science · 2023Article
- Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage.Plant phenomics (Washington, D.C.) · 2023Article
- New approaches to improve crop tolerance to biotic and abiotic stresses.Physiologia plantarum · 2022Review
- Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits.Frontiers in genetics · 2022Review
- Using phenomics to identify and integrate traits of interest for better-performing common beans: A validation study on an interspecific hybrid and its Acutifolii parents.Frontiers in plant science · 2022Article
- Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images.Plant phenomics (Washington, D.C.) · 2022Article
- A Novel Computational Framework for Precision Diagnosis and Subtype Discovery of Plant With Lesion.Frontiers in plant science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant phenomics is a high-throughput path-breaking area that meets all the requirements for the collection of accurate, rapid and multi-faceted phenotypic data. Plant phenomics is an approach to envisage complex traits that are appropriate for selection, and provides relevant information as to why particular genotype can stand out in particular environmental conditions. The technique of plant phenotyping can be operated in various dimensions, from the gene to the whole-plant level under a specific environment, and management practices. Through this review, we discuss the recent advances in plant phenomics, highlighting different field and confined high-throughput technologies for utilization in forward and reverse genetics. These plant phenomics technique are very relevant in stress identification, study physiological processes, rapid and efficient screening, dissection and confirmation for understanding the genetic basis of different traits, genes and aspects. Highthroughput phenomics technologies are essential to avoid human error and to reduce time consumption while phenotyping large germplasm populations, or for confirmation of gene or trait functional analysis.
Indexed as
Identifiers
32975238W3086806830What OpenQuestion holds
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.