作物学报 ›› 2023, Vol. 49 ›› Issue (6): 1726-1732.doi: 10.3724/SP.J.1006.2023.21043
• 研究简报 • 上一篇
田敏(
), 刘新春, 潘佳佳, 梁丽静, 董雷, 刘美池, 冯宗云*(
)
TIAN Min(
), LIU Xin-Chun, PAN Jia-Jia, LIANG Li-Jing, DONG Lei, LIU Mei-Chi, FENG Zong-Yun*(
)
摘要:
纤维是衡量大麦饲用品质的重要指标之一, 其遗传机制解析对饲用大麦品种选育具有一定的指导意义。本研究以316份大麦品种为材料, 连续2年种植于成都、康定两地, 利用分布于大麦基因组上的75,289个SNPs对籽粒纤维素、半纤维素含量进行全基因组关联分析。利用TASSEL软件的混合线性模型, 纤维素、半纤维素性状分别重复检测到65个、34个显著SNPs位点(P≤0.05/N), 标记的平均解释表型变异率分别为13.18%、14.10%。纤维素、半纤维素含量在3个及以上环境中重复检测到的显著相关位点分别为4个、1个, 2个性状检测到了相同的SNP位点, 说明2个性状存在遗传相关性。纤维素性状挖掘到6个候选基因, 半纤维素性状挖掘到1个候选基因, 为大麦纤维的遗传与分子机理研究及遗传改良奠定了基础。
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