[1]尚虎山,刘效瑞,王富胜,等.药用植物黄芪品种道地产区产量的AMMI模型分析[J].西部中医药,2016,29(01):8-11.
　SHANG Hushan,LIU Xiaorui,WANG Fusheng,et al.AMMI Model of the Yield of Medicinal Plants HuangQi in Genuine Producing Areas[J].Western Journal of Traditional Chinese Medicine,2016,29(01):8-11.
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药用植物黄芪品种道地产区产量的AMMI模型分析()
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
29
期数:
2016年01期
页码:
8-11
栏目:
出版日期:
2016-01-15

文章信息/Info

Title:
AMMI Model of the Yield of Medicinal Plants HuangQi in Genuine Producing Areas
文章编号:
1004-6852(2016)01-0008-04
作者:
尚虎山1，刘效瑞1，王富胜1，张华2，李亚杰1，魏玉琴1
1 定西市农业科学研究院，甘肃 定西 743000； 2 定西市安定区农村能源区划办公室
Author(s):
SHANG Hushan1, LIU Xiaorui1, WANG Fusheng1, ZHANG Hua2, LI Yajie1, WEI Yuqin1
1 Dingxi Municipal Academy of Agricultural Sciences, Dingxi 743000, China;2 Rural Energy Division Office of Anding District
关键词:
黄芪; AMMI模型; 区域试验; 品种稳产性
Keywords:
HuangQi;  AMMI model;  regional trial;  breed stability
分类号:
R282.7
文献标志码:
A
摘要:
目的：筛选适宜在甘肃定西市多样性生态条件下种植的优良黄芪新品种。方法：采用AMMI模型分析基因型与环境互作效应方面的优势，对2012—2013年定西市4个主产县区选用7个参试品系进行丰产性及稳产性分析。结果：所有参试品系中HQZX04-03-02表现最稳定，但产量最低；HQZX04-04-01的稳产性较好，产量最高，较当地主栽品种陇芪1号增产24.23%；各试点间的鉴别力具有差异，其顺序为：漳县马泉＞渭源新寨＞岷县禾驮＞陇西首阳。结论：黄芪各品系不同试点AMMI模型中的主成分分值共解释总互作和的87.6%，比线性回归模型和方差分析能更有效地分析基因与环境的互作效应。
Abstract:
Objective: To screen excellent breeds of HuangQi [Astragalus membranaceus (Fisch.) Bunge.] appropriate to Dingxi municipality under diversified ecological conditions. Methods: The advantages of genotype and environment interaction were analyzed by adopting AMMI model, high yield and the yield stability of seven tested breeds in four main producing countries were analyzed from 2012 to 2013. Results: Among all the tested breeds, HQZX04-03-02 showed the characteristics of the highest stability but the lowest yields; HQZX04-04-01 demonstrated higher stability yield and the highest yields, it increased by 24.23% compared with LongQi No.1 mainly cultivated in Dingxi; there were the difference in the comparison of discriminability in different producing areas, their orders were: Zhangxian Maquan>Weiyuan Xinzhai>Minxian Hetuo>Longxi Shouyang. Conclusion: Principal component score of AMMI models in different producing areas could reach 87.6% of total interaction and interpretation, which could better analyze the interaction between genotype and environment compared with linear regression model and variance analysis.

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备注/Memo

备注/Memo:
*基金项目：国家基本药物所需中药原料资源调查和鉴别项目（编号国中医药办规财发[2013]41）；“十二五”国家科技支撑计划项目（编号2011BAI05B0202）。作者简介：尚虎山(1981—)，男，助理研究员。研究方向：道地中药材新品种选育及旱地作物栽培。
更新日期/Last Update: 2016-01-15