Advances in genomics for the improvement of quality in coffee

Tran, Hue T. M., Lee, L. Slade, Furtado, Agnelo, Smyth, Heather and Henry, Robert J. (2016) Advances in genomics for the improvement of quality in coffee. Journal of the Science of Food and Agriculture, 96 10: 3300-3312. doi:10.1002/jsfa.7692

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Author Tran, Hue T. M.
Lee, L. Slade
Furtado, Agnelo
Smyth, Heather
Henry, Robert J.
Title Advances in genomics for the improvement of quality in coffee
Journal name Journal of the Science of Food and Agriculture   Check publisher's open access policy
ISSN 1097-0010
0022-5142
Publication date 2016-08-15
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1002/jsfa.7692
Open Access Status File (Author Post-print)
Volume 96
Issue 10
Start page 3300
End page 3312
Total pages 13
Place of publication Chichester, West Sussex, United Kingdom
Publisher John Wiley and Sons
Collection year 2017
Language eng
Formatted abstract
Coffee is an important crop that provides a livelihood to millions of people living in developing countries. Production of genotypes with improved coffee quality attributes is a primary target of coffee genetic improvement programmes. Advances in genomics are providing new tools for analysis of coffee quality at the molecular level. The recent report of a genomic sequence for robusta coffee, Coffea canephora, is a major development. However, a reference genome sequence for the genetically more complex arabica coffee (C. arabica) will also be required to fully define the molecular determinants controlling quality in coffee produced from this high quality coffee species. Genes responsible for control of the levels of the major biochemical components in the coffee bean that are known to be important in determining coffee quality can now be identified by association analysis. However, the narrow genetic base of arabica coffee suggests that genomics analysis of the wild relatives of coffee (Coffea spp.) may be required to find the phenotypic diversity required for effective association genetic analysis. The genomic resources available for the study of coffee quality are described and the potential for the application of next generation sequencing and association genetic analysis to advance coffee quality research are explored.
Keyword Coffee quality
Genetics
Genomics
Biochemical compounds
Next generation sequencing
Association studies
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: HERDC Pre-Audit
Queensland Alliance for Agriculture and Food Innovation
 
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
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Created: Wed, 09 Mar 2016, 09:42:13 EST by Annie Morley on behalf of Qld Alliance for Agriculture and Food Innovation