作物学报 ›› 2023, Vol. 49 ›› Issue (10): 2677-2686.doi: 10.3724/SP.J.1006.2023.24207
李阿蕾(
), 戴志刚, 陈基权, 邓灿辉, 唐蜻, 程超华, 许英, 张小雨, 粟建光, 杨泽茂(
)
LI A-Lei(
), DAI Zhi-Gang, CHEN Ji-Quan, DENG Can-Hui, TANG Qing, CHENG Chao-Hua, XU Ying, ZHANG Xiao-Yu, SU Jian-Guang, YANG Ze-Mao(
)
摘要:
镉污染是重金属污染中最严重的类型之一, 筛选耐镉性强的黄麻种质资源对改良土壤环境有重要意义。为鉴定评价长果种黄麻种质资源萌发期耐镉性, 本研究对239份来源不同的长果种黄麻种质萌发期进行0 mg L-1、5 mg L-1和25 mg L-1镉胁迫处理, 测定计算发芽率、发芽势、根长、芽长、发芽指数、活力指数和相对镉害率等7个指标, 结果显示对照组和处理组的7个指标间存在不同程度的差异。采用主成分分析、隶属函数分析和系统聚类分析等综合分析方法对长果种黄麻萌发期耐镉性进行综合评价, 将239份长果种黄麻种质资源依据D值大小划分成5类: 镉敏感型材料72份、镉较敏感材料52份、中度耐镉材料56份、耐镉材料50份、高耐镉材料9份, 其中以CoODKCG为代表的9份高耐镉材料可作为长果种黄麻耐镉育种的优异种质资源。通过逐步回归分析方程建立 5 mg L-1与25 mg L-1胁迫下长果种黄麻耐镉性综合评价数学模型: D1 =0.029 + 0.060×GR + 0.036×GI + 0.122×VI + 0.066× RL + 0.148×BL + 0.047×RCDR ( R12=0.833 ), D2=0.064 + 0.098×GR + 0.146×GI + 0.133×VI + 0.113×RL + 0.087×BL + 0.056×RCDR ( R22=0.801 ) 。结合主成分分析、相关性分析和逐步回归分析筛选出发芽指数、活力指数和根长作为长果种黄麻萌发期综合耐镉鉴定指标。本研究为长果黄麻耐镉品种的培育和优异基因资源的挖掘奠定了基础。
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