中国农业科学2026，Vol.59Issue(11)：2325-2339,15.DOI:10.3864/j.issn.0578-1752.2026.11.003
山西谷子种质资源耐瘠性鉴定及综合评价
Identification and Comprehensive Evaluation of the Barren-Tolerant Germplasm Resources of Foxtail Millet in Shanxi
摘要
Abstract
[Objective]This study aimed to select superior barren-tolerant germplasm,establish an evaluation model,and identify diagnostic indicators in foxtail millet germplasm resources from Shanxi,so as to provide the theoretical basis and methodological support for the efficient breeding of barren-tolerant foxtail millet varieties.[Method]617 local foxtail millet varieties were used as experimental materials.Trials were carried out under low-fertility stress in Taiyuan(23TY,24TY)and under normal fertility conditions in Dongyang(23DY,24DY)from 2023 to 2024.Eleven indicators were measured,including stem node number(SNN),stem diameter(SD),panicle diameter(PD),plant height(PH),peduncle length(PeL),panicle length(PaL),leaf length(LL),leaf width(LW),spike weight per plant(SWP),grain weight per plant(GWP),and thousand-grain weight(TGW).A comprehensive evaluation and identification were carried out using multiple analytical methods,such as normal distribution test,barren tolerance coefficient difference analysis,correlation analysis,cluster analysis,and regression analysis.[Result]The results showed significant differences in agronomic traits,with coefficients of variation ranging from 9.23%to 48.05%.Specifically,the coefficient of variation for LW in 23TY was the smallest(9.23%),while the coefficient for GWP in 24TY was the largest(48.05%).K-S test results indicated that,except for SNN,PaL,LW,and SWP,other traits showed varying degrees of normal distribution in different environments(P>0.05).Correlation analysis showed that SWP and GWP exhibited a significant positive correlation with the highest correlation coefficient,followed by SNN with PH,PaL with LL.In addition,PeL and SNN showed a significant negative correlation in 23TY and 23DY;LL and PH,LL and SNN,PeL and PD had a significant negative correlation in 23TY;and PeL was significantly negatively correlated with PH in 23DY.Principal component analysis results revealed that 11 phenotypic traits were converted into 2 comprehensive indices,with a cumulative explanation rate of 59.68%.Using the membership function method calculated the barren tolerance(D value),and cluster analysis was performed.The varieties were classified into three categories:Class I included 13 barren-sensitive varieties with D values ranging from 0.09 to 0.28;Class Ⅱ included 595 moderately barren-tolerant varieties with D values ranging from 0.40 to 0.81;Class Ⅲ included 9 barren-tolerant varieties with D values ranging from 0.84 to 0.93.Maorangu was the most barren-tolerant variety from Yangquan city.Through multiple regression analysis,a predictive evaluation model for barren tolerance was established:Y=-0.031+0.129X9+0.167X10+0.141X6+0.233X8+0.205X4(R2=0.951,P<0.001).[Conclusion]Using multivariate statistical analysis methods,it is reliable to evaluate and predict the barren tolerance of foxtail millet germplasm.Five phenotypic traits are selected as evaluation indicators for barren tolerance:plant height,panicle length,leaf width,spike weight per plant,grain weight per plant.The Maorangu variety from Yangquan city was the strongest barren tolerance.关键词
谷子/种质资源/耐瘠薄/综合评价/隶属函数法Key words
foxtail millet/germplasm resources/barren tolerance/comprehensive evaluation/subordinate function method引用本文复制引用
谢永祥,潘怡敏,黄蕊,秦慧彬,侯森,贺强,凌亮,穆志新,王海岗..山西谷子种质资源耐瘠性鉴定及综合评价[J].中国农业科学,2026,59(11):2325-2339,15.基金项目
国家自然科学基金(32241041,32522080)、山西省科技重大专项计划"揭榜挂帅"项目(202101140601027)、山西省基础研究计划(202203021212472)、国家农作物种质资源保护与利用(22250319)、国家农作物种质资源平台(NCGRC-2025-026)、山西农业大学生物育种工程(YZGC149)、山西省现代农业产业技术体系建设专项(2025CYJSTX10-5) （32241041,32522080）
