Delving deeper into technological innovations to understand differences in rice quality View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-01-29

AUTHORS

Mariafe Calingacion, Lu Fang, Lenie Quiatchon-Baeza, Roland Mumm, Arthur Riedel, Robert D Hall, Melissa Fitzgerald

ABSTRACT

Increasing demand for better quality rice varieties, which are also more suited to growth under sub-optimal cultivation conditions, is driving innovation in rice research. Here we have used a multi-disciplinary approach, involving SNP-based genotyping together with phenotyping based on yield analysis, metabolomic analysis of grain volatiles, and sensory panel analysis to determine differences between two contrasting rice varieties, Apo and IR64. Plants were grown under standard and drought-induced conditions. Results revealed important differences between the volatile profiles of the two rice varieties and we relate these differences to those perceived by the sensory panel. Apo, which is the more drought tolerant variety, was less affected by the drought condition concerning both sensory profile and yield; IR64, which has higher quality but is drought sensitive, showed greater differences in these characteristics in response to the two growth conditions. Metabolomics analyses using GCxGC-MS, followed by multivariate statistical analyses of the data, revealed a number of discriminatory compounds between the varieties, but also effects of the difference in cultivation conditions. Results indicate the complexity of rice volatile profile, even of non-aromatic varieties, and how metabolomics can be used to help link changes in aroma profile with the sensory phenotype. Our outcomes also suggest valuable multi-disciplinary approaches which can be used to help define the aroma profile in rice, and its underlying genetic background, in order to support breeders in the generation of improved rice varieties combining high yield with high quality, and tolerance of both these traits to climate change. More... »

PAGES

6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12284-015-0043-8

DOI

http://dx.doi.org/10.1186/s12284-015-0043-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053367999

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26054242


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