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Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated wi...

Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated wi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1868327004

Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress

About this item

Full title

Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress

Publisher

Dordrecht: Springer Netherlands

Journal title

Plant molecular biology, 2017-01, Vol.93 (1-2), p.137-150

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

Soybean is a high phosphorus (P) demand species that is sensitive to low-P stress. Although many quantitative trait loci (QTL) for P efficiency have been identified in soybean, but few of these have been cloned and agriculturally applied mainly due to various limitations on identifying suitable P efficiency candidate genes. Here, we combined QTL ma...

Alternative Titles

Full title

Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1868327004

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1868327004

Other Identifiers

ISSN

0167-4412

E-ISSN

1573-5028

DOI

10.1007/s11103-016-0552-x

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