↓ Skip to main content

QTL for root angle and number in a population developed from bread wheats (Triticum aestivum) with contrasting adaptation to water-limited environments

Overview of attention for article published in Theoretical and Applied Genetics, March 2013
Altmetric Badge

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
144 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
QTL for root angle and number in a population developed from bread wheats (Triticum aestivum) with contrasting adaptation to water-limited environments
Published in
Theoretical and Applied Genetics, March 2013
DOI 10.1007/s00122-013-2074-0
Pubmed ID
Authors

Jack Christopher, Mandy Christopher, Raeleen Jennings, Shirley Jones, Susan Fletcher, Andrew Borrell, Ahmad M. Manschadi, David Jordan, Emma Mace, Graeme Hammer

Abstract

Root architecture traits in wheat are important in deep soil moisture acquisition and may be used to improve adaptation to water-limited environments. The genetic architecture of two root traits, seminal root angle and seminal root number, were investigated using a doubled haploid population derived from SeriM82 and Hartog. Multiple novel quantitative trait loci (QTL) were identified, each one having a modest effect. For seminal root angle, four QTL (-log10(P) >3) were identified on 2A, 3D, 6A and 6B, and two suggestive QTL (-log10(P) >2) on 5D and 6B. For root number, two QTL were identified on 4A and 6A with four suggestive QTL on 1B, 3A, 3B and 4A. QTL for root angle and root number did not co-locate. Transgressive segregation was found for both traits. Known major height and phenology loci appear to have little effect on root angle and number. Presence or absence of the T1BL.1RS translocation did not significantly influence root angle. Broad sense heritability (h (2)) was estimated as 50 % for root angle and 31 % for root number. Root angle QTL were found to be segregating between wheat cultivars adapted to the target production region indicating potential to select for root angle in breeding programs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 21%
Researcher 28 19%
Student > Master 18 13%
Student > Doctoral Student 12 8%
Student > Bachelor 6 4%
Other 22 15%
Unknown 28 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 65%
Biochemistry, Genetics and Molecular Biology 5 3%
Environmental Science 2 1%
Chemical Engineering 2 1%
Chemistry 2 1%
Other 4 3%
Unknown 35 24%