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

PANOMICS meets germplasm.

Plant biotechnology journal - 1 Jul 2020

Weckwerth Wolfram, Ghatak Arindam, Bellaire Anke, Chaturvedi Palak, Varshney Rajeev K

Abstract excerpt

Genotyping-by-sequencing has enabled approaches for genomic selection to improve yield, stress resistance and nutritional value. More and more resource studies are emerging providing 1000 and more genotypes and millions of SNPs for one species covering a hitherto inaccessible intraspecific genetic variation. The larger the databases are growing, the better statistical approaches for genomic selection will...

Read the complete abstract on PubMed

Topics

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

Share to Breeding
Share to Genome-Wide Association Study
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 32163658
DOI: 10.1111/pbi.13372
PMCID: PMC7292548

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

PANOMICS meets germplasm.PMID 32163658Read ↗

Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction.Semantic proximity Read ↗

Bringing more players into play: Leveraging stress in genome wide association studies.Semantic proximity Read ↗

TraitCapture: genomic and environment modelling of plant phenomic data.Semantic proximity Read ↗

Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data.Semantic proximity Read ↗

Future-proof crops: challenges and strategies for climate resilience improvement.Semantic proximity Read ↗

Accelerating genetic gain through integrated genomic selection in crop plants.Semantic proximity Read ↗

Phenomic Selection: A New and Efficient Alternative to Genomic Selection.Semantic proximity Read ↗

Advancements in molecular marker technologies and their applications in diversity studies.Semantic proximity Read ↗

Challenges in Bringing Pangenome Research into Breeding: A Case Study in RiceSemantic proximity Read ↗

Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap.Semantic proximity Read ↗

Challenges in Bringing Pangenome Research Into Breeding: A Case Study in Rice.Semantic proximity Read ↗

Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review.Semantic proximity Read ↗

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