The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Genetics of coffee quality
Open accessAbstract
Coffee quality, in the present context of overproduction worldwide, has to be considered as a main selection criterion for coffee improvement. After a definition of quality, and an overview of the non genetic factors affecting its variation, this review focuses on the genetic factors involved in the control of coffee quality variation. Regarding the complexity of this trait, the different types of quality are first presented. Then, the great variation within and between coffee species is underlined, mainly for biochemical compounds related to quality (caffeine, sugars, chlorogenic acids, lipids). The ways for breeding quality traits for cultivated species, Coffea arabica and Coffea canephora are discussed, with specific challenges for each species. For C. arabica, maintaining a good quality in F1 intraspecific hybrids, introgressed lines from Timor hybrid, and grafted varieties are the main challenges. For C. canephora, the improvement is mainly based on intraspecific and interspecific hybrids, using the whole genetic variability available within this species. An improvement is obtained for bean size, with significant genetic gains in current breeding programmes. The content in biochemical compounds related to cup quality is another way to improve Robusta quality. Finally, ongoing programmes towards the understanding of the molecular determinism of coffee quality, particularly using coffee ESTs, are presented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vaast, P., Bertrand, B., Perriot, J., Guyot, B., & Génard, M. (2006) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.2338 · Cited by 384
Self-citationKy, C.-L., Louarn, J., Dussert, S., Guyot, B., Hamon, S., & Noirot, M. (2001) · Food Chemistry · doi:10.1016/s0308-8146(01)00204-7 · Cited by 371
Clarke, R., & Vitzthum, O. G. (2001) · Medical Entomology and Zoology · Cited by 353
Coffee: Botany, biochemistry and production of beans and beverage
(1986) · Food and Chemical Toxicology · doi:10.1016/0278-6915(86)90211-5 · Cited by 284
Chemical and Physical Aspects of Green Coffee and Coffee Products
Clifford, M. N. (1985) · Coffee · doi:10.1007/978-1-4615-6657-1_13 · Cited by 215
Botanical Classification of Coffee
Charrier, A., & Berthaud, J. (1985) · Springer eBooks · doi:10.1007/978-1-4615-6657-1_2 · Cited by 192
Quality of Different Honduran Coffees in Relation to Several Environments
Decazy, F., Avelino, J., Guyot, B., Perriot, J. J., Pineda, C., & Cilas, C. (2003) · Journal of Food Science · doi:10.1111/j.1365-2621.2003.tb05772.x · Cited by 175
A naturally decaffeinated arabica coffee
Silvarolla, M. B., Mazzafera, P., & Fazuoli, L. C. (2004) · Nature · doi:10.1038/429826a · Cited by 162
Wintgens, J. N. (2004) · Cited by 148
Lin, C., Mueller, L. A., Carthy, J. M., Crouzillat, D., Pétiard, V., & Tanksley, S. D. (2005) · Theoretical and Applied Genetics · doi:10.1007/s00122-005-0112-2 · Cited by 135
Cited by
Joët, T., Laffargue, A., Descroix, F., Doulbeau, S., Bertrand, B., kochko, A. D., & Dussert, S. (2010) · Food Chemistry · doi:10.1016/j.foodchem.2009.05.048 · Cited by 278
Self-citationBicho, N. C., Leitão, A. E., Ramalho, J. C., & Lidon, F. C. (2011) · European Food Research and Technology · doi:10.1007/s00217-011-1518-5 · Cited by 44
Effect of Basket Geometry on the Sensory Quality and Consumer Acceptance of Drip Brewed Coffee
Frost, S. C., Ristenpart, W. D., & Guinard, J. (2019) · Journal of Food Science · doi:10.1111/1750-3841.14696 · Cited by 37
Metadata
- Authors
- Leroy, T., Ribeyre, F., Bertrand, B., Charmetant, P., Dufour, M., Montagnon, C., Marraccini, P., & Pot, D.
- Venue
- Brazilian Journal of Plant Physiology
- Publisher
- FapUNIFESP (SciELO)
- Published
- 2006-03
- Volume
- 18
- Issue
- 1
- Pages
- 229-242
- ISSN
- 0103-3131 (ISSN-L)
- 1677-0420
- OpenAlex
- W1976191238
- Cited by
- 257
- References
- 19
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Genetics of coffee quality. https://app.cochat.ai/papers/10.1590/s1677-04202006000100016
- The paper
- Leroy, T., Ribeyre, F., Bertrand, B., Charmetant, P., Dufour, M., Montagnon, C., Marraccini, P., & Pot, D. (2006). Genetics of coffee quality. Brazilian Journal of Plant Physiology. https://doi.org/10.1590/s1677-04202006000100016
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.