Predicting plant biomass accumulation from image-derived parameters
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting plant biomass accumulation from image-derived parameters
Authors
Keywords
-
Journal
GigaScience
Volume 7, Issue 2, Pages -
Publisher
Oxford University Press (OUP)
Online
2018-01-16
DOI
10.1093/gigascience/giy001
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Predicting plant biomass accumulation from image-derived parameters
- (2018) Dijun Chen et al. GigaScience
- Genetic variation of growth dynamics in maize (Zea mays L.) revealed through automated non-invasive phenotyping
- (2017) Moses M. Muraya et al. PLANT JOURNAL
- High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth
- (2017) Xuehai Zhang et al. PLANT PHYSIOLOGY
- Measures for interoperability of phenotypic data: minimum information requirements and formatting
- (2016) Hanna Ćwiek-Kupczyńska et al. Plant Methods
- Lights, camera, action: high-throughput plant phenotyping is ready for a close-up
- (2015) Noah Fahlgren et al. CURRENT OPINION IN PLANT BIOLOGY
- A Versatile Phenotyping System and Analytics Platform Reveals Diverse Temporal Responses to Water Availability in Setaria
- (2015) Noah Fahlgren et al. Molecular Plant
- Dissecting spatiotemporal biomass accumulation in barley under different water regimes using high-throughput image analysis
- (2015) Kerstin Neumann et al. PLANT CELL AND ENVIRONMENT
- Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements
- (2015) Weiwei Zhang et al. GENOME BIOLOGY
- Predicting DNA methylation level across human tissues
- (2014) Baoshan Ma et al. NUCLEIC ACIDS RESEARCH
- Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis
- (2014) Dijun Chen et al. PLANT CELL
- Integrated Analysis Platform: An Open-Source Information System for High-Throughput Plant Phenotyping
- (2014) C. Klukas et al. PLANT PHYSIOLOGY
- Image-based phenotyping for non-destructive screening of different salinity tolerance traits in rice
- (2014) Aris Hairmansis et al. Rice
- Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice
- (2014) Wanneng Yang et al. Nature Communications
- CpGIMethPred: computational model for predicting methylation status of CpG islands in human genome
- (2013) Hao Zheng et al. BMC Medical Genomics
- Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor
- (2013) Qiang Cao et al. FIELD CROPS RESEARCH
- A hyperspectral imaging system for an accurate prediction of the above-ground biomass of individual rice plants
- (2013) Hui Feng et al. REVIEW OF SCIENTIFIC INSTRUMENTS
- Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation
- (2013) Lucas Busemeyer et al. Scientific Reports
- Understanding transcriptional regulation by integrative analysis of transcription factor binding data
- (2012) C. Cheng et al. GENOME RESEARCH
- Modeling gene expression using chromatin features in various cellular contexts
- (2012) Xianjun Dong et al. GENOME BIOLOGY
- Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars
- (2011) Klaus Erdle et al. FIELD CROPS RESEARCH
- High-throughput non-destructive biomass determination during early plant development in maize under field conditions
- (2011) J.M. Montes et al. FIELD CROPS RESEARCH
- A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects
- (2011) Samuel Arvidsson et al. NEW PHYTOLOGIST
- Modeling the relative relationship of transcription factor binding and histone modifications to gene expression levels in mouse embryonic stem cells
- (2011) Chao Cheng et al. NUCLEIC ACIDS RESEARCH
- Accurate inference of shoot biomass from high-throughput images of cereal plants
- (2011) Mahmood R Golzarian et al. Plant Methods
- A statistical framework for modeling gene expression using chromatin features and application to modENCODE datasets
- (2011) Chao Cheng et al. GENOME BIOLOGY
- Imaging and Analysis Platform for Automatic Phenotyping and Trait Ranking of Plant Root Systems
- (2010) A. S. Iyer-Pascuzzi et al. PLANT PHYSIOLOGY
- Suitability of a laser rangefinder to characterize winter wheat
- (2010) Detlef Ehlert et al. PRECISION AGRICULTURE
- Histone modification levels are predictive for gene expression
- (2010) R. Karlic et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Measuring crop biomass density by laser triangulation
- (2007) Detlef Ehlert et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started