Korean Journal of Breeding Science :eISSN 2287-5174 / pISSN 0250-3360

Table. 4.

Characterization of grain-related traits of U.S. rice varieties classified by K-means clustering analysis

Cluster n Varietyz Brown rice
GLy GW GT RLW TGW
G_UV1 1 BRC 5.04cx 3.08a 2.05a 1.64c 22.9ab
G_UV2 4 RC1, PCS, ST, MS 5.85b 2.69b 1.83b 2.18b 20.4bc
G_UV3 8 SB, SLBL, A008, BLBL, RJBN, CPRS, CCDR, LCS, 7.16a 2.13d 1.70c 3.36a 18.7c
G_UV4 2 JFS, A020 7.84a 2.28c 1.83b 3.46a 24.4a
Total 15 6.76 2.36 1.78 2.95 20.19
C.V. (%) 4.70 2.20 2.20 5.80 6.10

zBRC: Boramchan, RC1: Rico1, PCS: Pecos, ST: Saturn, MS: Mars, SB: Saber, SLBL: Shortlabelle, BLBL: Bluebelle, RJBN: Rajbonnet, CPRS: Cypress, CCDR: Cocodrie, LCS: Lacassine, JFS: Jefferson

yGL: grain length, GW: grain width, GT: grain thickness, RLW: ratio of length to width, TGW: 1,000-grain weight

xMeans with same letters in a column are not significantly different at p<0.05 (ANOVA followed by DMRT)

Korean J. Breed. Sci. 2022;54:81-97 https://doi.org/10.9787/KJBS.2022.54.2.81
© 2022 Korean J. Breed. Sci.