Discover Community Create You

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

Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation.

Scientific reports - 1 Jan 2013

Busemeyer Lucas, Ruckelshausen Arno, Möller Kim, Melchinger Albrecht E, Alheit Katharina V, Maurer Hans Peter, Hahn Volker, Weissmann Elmar A, Reif Jochen C, Würschum Tobias

Abstract excerpt

To extend agricultural productivity by knowledge-based breeding and tailor varieties adapted to specific environmental conditions, it is imperative to improve our ability to assess the dynamic changes of the phenome of crops under field conditions. To this end, we have developed a precision phenotyping platform that combines various sensors for a non-invasive, high-throughput and high-dimensional phenotyping of...

Read the complete abstract on PubMed

Topics

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

Share to Biomass
Share to Edible Grain

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Epistasis, Genetic

Share to Gene Regulatory Networks

Share to Phenotype

Share to Quantitative Trait Loci

Share to Time Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 23942574
DOI: 10.1038/srep02442
PMCID: PMC3743059

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation.PMID 23942574Read ↗

Genetic dynamics underlying phenotypic development of biomass yield in triticale.Semantic proximity Read ↗

Genetic variation of growth dynamics in maize (Zea mays L.) revealed through automated non-invasive phenotyping.Semantic proximity Read ↗

High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth.Semantic proximity Read ↗

Mapping dynamic QTL for plant height in triticale.Semantic proximity Read ↗

Unveiling shared genetic regulators of plant architectural and biomass yield traits in the Sorghum Association Panel.Semantic proximity Read ↗

Genetic dissection of a key dynamic growth period QTL for source-sink-related traits and its breeding application potential in wheat.Semantic proximity Read ↗

Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis.Semantic proximity Read ↗

Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions.Semantic proximity Read ↗

Breeder friendly phenotyping.Semantic proximity Read ↗

Field high-throughput phenotyping: the new crop breeding frontier.Semantic proximity Read ↗

Advancing multi-scale plant phenotyping for precision agriculture and sustainable crop production.Semantic proximity Read ↗

Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives.Semantic proximity Read ↗

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