Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response.

Journal of experimental botany - 25 Jul 2020

Banerjee Bikram P, Joshi Sameer, Thoday-Kennedy Emily, Pasam Raj K, Tibbits Josquin, Hayden Matthew, Spangenberg German, Kant Surya

Abstract excerpt

The development of crop varieties with higher nitrogen use efficiency is crucial for sustainable crop production. Combining high-throughput genotyping and phenotyping will expedite the discovery of novel alleles for breeding crop varieties with higher nitrogen use efficiency. Digital and hyperspectral imaging techniques can efficiently evaluate the growth, biophysical, and biochemical performance of plant...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biomarkers
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Nitrogen

Share to Plant Breeding

Share to Plant Leaves

Source

Open in PubMed Open full text

Identifiers

PMID: 32185382
DOI: 10.1093/jxb/eraa143
PMCID: PMC7382386

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response.PMID 32185382Read ↗

Automated hyperspectral vegetation index derivation using a hyperparameter optimisation framework for high-throughput plant phenotyping.Semantic proximity Read ↗

Crop phenotyping in a context of global change: What to measure and how to do it.Semantic proximity Read ↗

Modern phenomics to empower holistic crop science, agronomy, and breeding research.Semantic proximity Read ↗

Applications of hyperspectral imaging in plant phenotyping.Semantic proximity Read ↗

High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing.Semantic proximity Read ↗

Capturing crop adaptation to abiotic stress using image-based technologies.Semantic proximity Read ↗

Technical workflows for hyperspectral plant image assessment and processing on the greenhouse and laboratory scale.Semantic proximity Read ↗

Resources for image-based high-throughput phenotyping in crops and data sharing challenges.Semantic proximity Read ↗

High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance.Semantic proximity Read ↗

Advances in optical phenotyping of cereal crops.Semantic proximity Read ↗

High-throughput phenotyping using VIS/NIR spectroscopy in the classification of soybean genotypes for grain yield and industrial traits.Semantic proximity Read ↗

Applications of high-throughput plant phenotyping to study nutrient use efficiency.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.