Quantitative trait loci associated with different polar metabolites in perennial ryegrass - providing scope for breeding towards increasing certain polar metabolites-Reference-Cited by-同舟云学术

Quantitative trait loci associated with different polar metabolites in perennial ryegrass - providing scope for breeding towards increasing certain polar metabolites

Published:2017-10-10 Issue:1 Volume:18 Page:
ISSN:1471-2156
Container-title:BMC Genetics
language:en
Short-container-title:BMC Genet

Author:

Foito Alexandre,Hackett Christine Anne,Stewart Derek,Velmurugan Janaki,Milbourne Dan,Byrne Stephen L.,Barth Susanne^ORCID

Funder

Department of Agriculture, Food and the Marine

The Scottish Government's Rural and Environment Science and Analytical Services Divisio

Publisher

Springer Science and Business Media LLC

Subject

Genetics(clinical),Genetics

Link

http://link.springer.com/content/pdf/10.1186/s12863-017-0552-0.pdf

Reference46 articles.

1. Miller LA, Moorby JM, Davies DR, Humphreys MO, Scollan ND, MacRae JC, et al. Increased concentration of water-soluble carbohydrate in perennial ryegrass (Lolium perenne L.): milk production from late lactation dairy cows. Grass Forage Sci. 2001;56:383–94.

2. Dewhurst RJ, Scollan ND, Lee MRF, Ougham HJ, Humphreys MO. Forage breeding and management to increase the beneficial fatty acid content of ruminant products. Proc Nutr Soc. 2003;62:329–36.

3. Hegarty M, Yadav R, Lee M, Armstead I, Sanderson R, Scollan N, et al. Genotyping by RAD sequencing enables mapping of fatty acid composition traits in perennial ryegrass (Lolium perenne L.). Plant Biotechnol J. 2013;11:572–81.

4. Shepherd LV, Fraser P, Stewart D. Metabolomics: a second-generation platform for crop and food analysis. Bioanalysis. 2011;3:1143–59.

5. Anhalt UC, Heslop-Harrison JS, Byrne SL, Guillard A, Barth S. Segregation distortion in Lolium: evidence for genetic effects. Theor Appl Genet. 2008;117:297–306.

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