摘要
为了准确筛选和引进高产稳产性突出的杂交玉米新品种,探讨品种高产稳产性分析在同一生态区域内应用的必要性和参考价值,笔者采用变异系数法、适定性参数法、回归系数法及高稳系数法,对2017—2018年云南农科玉米联合体区域试验(中海拔组)保山试点各参试品种的高产性和稳产性进行分析。结果表明:不同方法的分析结果有一定差异,综合分析得到’昭黄10号’’、保玉16号’高产稳产性突出,其次’靖都1号’和’楚单1404’高产稳产性也好,4个品种适宜在保山市中海拔区域扩大种植和推广。4种分析方法均有其优缺点,联合利用不同方法进行综合评定,可使新品种的高产稳产性得到客观真实的反映。品种高产稳产性分析在同一生态区域内应用是有必要的,对提高选种引种的准确性和有效性有一定的指导意义和参考价值。
The paper aims to accurately select and introduce new hybrid maize varieties with prominent highyield and stability,and to explore the necessity and reference value of the analysis of high-yield and stability of variety in the same ecological region.We analyzed the high-yield and stability of the tested varieties in regional test(middle altitude group)of Maize Consortium of Yunnan Academy of Agricultural Sciences in Baoshan during 2017-2018,by the methods of variation coefficient(CV),well-posed parameter(a),regression coefficient(b)and high stability coefficient(HSC).The results of different methods were partially different.By comprehensive analysis,the high-yield and stability of’Zhaohuang 10’and’Baoyu 16’were outstanding,and’Jingdu 1’and’Chudan 1404’also had high-yield and good stability,thus the 4 varieties were suitable for planting and promotion in the middle-altitude area of Baoshan.In conclusion,each method has its advantages and disadvantages,so the comprehensive assessment by using different methods can objectively reflect the high-yield and stability of new varieties.It is necessary to apply the analysis for high-yield and stability of variety in the same ecological region,which has certain guiding significance for improving the accuracy and effectiveness of seed selection and introduction.
作者
孟静娇
陈百翠
李琰聪
刘婷婷
杨纪明
Meng Jingjiao;Chen Baicui;Li Yancong;Liu Tingting;Yang Jiming(Baoshan Institute of Agricultural Sciences,Baoshan Yunnan 678000;Harbin Academy of Agricultural Sciences,Harbin 150029)
出处
《中国农学通报》
2020年第21期11-18,共8页
Chinese Agricultural Science Bulletin
关键词
玉米
区域试验
高产性
稳产性
变异系数
适定性参数
回归系数
高稳系数
maize
regional test
high-yield
stability
coefficient of variation
well-posed parameter
regression coefficient
high stability coefficient