Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 531526
Title A multidisciplinary phenotyping and genotyping analysis of a mapping population enables quality to be combined with yield in rice
Author(s) Calingacion, Mariafe; Mumm, Roland; Tan, Kevin; Quiatchon-Baeza, Lenie; Concepcion, Jeanaflor C.T.; Hageman, Jos A.; Prakash, Sangeeta; Fitzgerald, Melissa; Hall, Robert D.
Source Frontiers in Molecular Biosciences 4 (2017)MAY. - ISSN 2296-889X
DOI http://dx.doi.org/10.3389/fmolb.2017.00032
Department(s) PRI BIOS Applied Metabolic Systems
Biometris (WU MAT)
Laboratory of Plant Physiology
Publication type Refereed Article in a scientific journal
Publication year 2017
Keyword(s) Aroma - GC-MS analysis - Metabolomics - QTL - Rice - Segregating population - Sensory - Yield
Abstract In this study a mapping population (F8) of ca 200 progeny from a cross between the commercial rice varieties Apo and IR64 has been both genotyped and phenotyped. A genotyping-by-sequencing approach was first used to identify 2,681 polymorphic SNP markers which gave dense coverage of the genome with a good distribution across all 12 chromosomes. The coefficient of parentage was also low, at 0.13, confirming that the parents are genetically distant from each other. The progeny, together with both parents, were grown under irrigated and water restricted conditions in a randomised block design. All grain was harvested to determine variation in yield across the population. The grains were then polished following standard procedures prior to performing the phenotyping analyses. A Gas Chromatography-Mass Spectrometry approach was used to determine the volatile biochemical profiles of each line and after data curation and processing, discriminatory metabolites were putatively identified based on in-house and commercial spectral libraries. These data were used to predict the potential role of these metabolites in determining differences in aroma between genotypes. A number of QTLs for yield and for individual metabolites have been identified. Following these combined multi-disciplinary analyses, it proved possible to identify a number of lines which appeared to combine the favourable aroma attributes of IR64 with the favourable (higher) yield potential of Apo. As such, these lines are excellent candidates to assess further as potential genotypes to work up into a new variety of rice which has both good yield and good quality, thus meeting the needs of both farmer and consumer alike.
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