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Article

Deciphering starch quality of rice kernels using metabolite profiling and pedigree network analysis.

Molecular plant - 1 Mar 2012

Kusano Miyako, Fukushima Atsushi, Fujita Naoko, Okazaki Yozo, Kobayashi Makoto, Oitome Naoko Fujita, Ebana Kaworu, Saito Kazuki

Abstract excerpt

The physiological properties of rice grains are immediately obvious to consumers. High-coverage metabolomic characterization of the rice diversity research set predicted a negative correlation between fatty acid and lipid levels and amylose/total starch ratio (amylose ratio), but the reason for this is unclear. To obtain new insight into the relationships among the visual phenotypes of rice kernels, starch...

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PMID: 22180466
DOI: 10.1093/mp/ssr101

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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