利用动态转录组学挖掘大豆百粒重候选基因

曾健, 徐先超, 徐昱斐, 王秀成, 于海燕, 冯贝贝, 邢光南

Utilization of dynamic transcriptomics analysis for candidate gene mining of 100-seed weight in soybean

ZENG Jian, XU Xian-Chao, XU Yu-Fei, WANG Xiu-Cheng, YU Hai-Yan, FENG Bei-Bei, XING Guang-Nan

图2 12个大豆品种百粒重的箱型图 横坐标代表12个大豆品种, 纵坐标表示百粒重。一个点代表一次观察值。品种间不同大写字母说明百粒重基于Duncan氏新复极差法在P = 0.01水平的差异显著性。

Fig. 2 Box diagram of 100-seed weight of 12 soybean varieties The abscissa represents 12 soybean varieties, and the ordinate represents the 100-seed weight. One point represents one observation. Soybean varieties with different uppercase letters are significantly different in 100-seed weight at P = 0.01 by Duncan’s new multiple-range test.