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Genomic prediction and QTL mapping of root system architecture and above-ground agronomic traits in...

Genomic prediction and QTL mapping of root system architecture and above-ground agronomic traits in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_11f780f4c72449d3891ec2f50be75c05

Genomic prediction and QTL mapping of root system architecture and above-ground agronomic traits in rice (Oryza sativa L.) with a multitrait index and Bayesian networks

About this item

Full title

Genomic prediction and QTL mapping of root system architecture and above-ground agronomic traits in rice (Oryza sativa L.) with a multitrait index and Bayesian networks

Publisher

England: Oxford University Press

Journal title

G3 : genes - genomes - genetics, 2021-10, Vol.11 (10)

Language

English

Formats

Publication information

Publisher

England: Oxford University Press

More information

Scope and Contents

Contents

Root system architecture (RSA) is a crucial factor in resource acquisition and plant productivity. Roots are difficult to phenotype in the field, thus new tools for predicting phenotype from genotype are particularly valuable for plant breeders aiming to improve RSA. This study identifies quantitative trait loci (QTLs) for RSA and agronomic traits...

Alternative Titles

Full title

Genomic prediction and QTL mapping of root system architecture and above-ground agronomic traits in rice (Oryza sativa L.) with a multitrait index and Bayesian networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_11f780f4c72449d3891ec2f50be75c05

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_11f780f4c72449d3891ec2f50be75c05

Other Identifiers

ISSN

2160-1836

E-ISSN

2160-1836

DOI

10.1093/g3journal/jkab178

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