不同生态区国审玉米品种的遗传多样性分析OA
Genetic diversity analysis of nationally approved maize varieties in different ecological regions
分析不同生态区国家审定玉米品种的遗传多样性,能够揭示区域间种质的遗传分化规律,为优异种质筛选与品种区域化育种提供理论依据.本研究以 273 个国审普通玉米品种为材料,分别对 16 个田间表型的特征分布和 40个 SSR 标记的遗传变异参数进行统计分析,并对表型数据与基因型数据分别进行聚类分析及关联分析,探究普通玉米的表型、基因型及环境因素间的联系.结果表明:不同生态区国审玉米品种的生育期、区试产量的组间差异显著且组内分布集中,其 F值分别为 2484.95、472.83;西南春播区品种基因多样性最高,为 0.72.表型聚类将 325 个品次信息划分为 4 组,其中,X1 组以东华北春播区与西北春播区审定品种为主,X2 组以北方早熟春播区为主,X3 组以西南春播区为主,X4 组以黄淮海夏播区与东南春播区为主.不同生态区表型分化规律表现为:东华北春播区与西北区春播区以中晚熟、高秆类型为主,北方早熟春播区主要为早熟、中矮秆类型,西南区多为中熟、中高秆类型,黄淮海与东南区则以早熟、中秆类型为主,其中,西南春播区、黄淮海夏播区与东南春播区的病害压力较大.表型主成分分析结果表明,前两个主成分累计贡献率达 69.0%,且组间界限明显,验证了基于表型分组的合理性.基因型聚类将273 个品种划分为 4 组,其中,Y1 组的杂种优势模式以瑞德群×X群、改良瑞德群×X群为主,Y2 组以X群×塘四平头群(黄改群)为主,Y4 组主要为改良瑞德群×塘四平头群;基因型主成分分析结果显示,前两个主成分累计贡献率达57.9%,组内聚集且组间差异显著,佐证了基于基因型分组的可靠性.基因型与表型关联分析结果表明,二者的对应关系较弱,这与分子标记筛选设计目标密不可分.我国不同生态区的玉米品种在表型与亲本杂种优势类群上呈现一定程度区域性分化,形成了生态区、田间表现与亲本杂种优势类群互相匹配的格局,这与以稳产性与资源高效利用为核心的区域化育种目标密切相关.
Analyzing the genetic diversity of maize varieties approved at the national level across different ecological regions reveals patterns of genetic differentiation among regional germplasms.This provides a theoretical basis for elite germplasm screening and region-specific variety breeding.In this study,273 nationally approved common maize varieties were analyzed.Sixteen field phenotypic traits and genetic variation parameters based on 40 SSR markers were statistically evaluated.Cluster analysis and association analysis of phenotypic and genotypic data were conducted to explore the relationships among phenotypes,genotypes,and environmental factors in common maize.The results showed significant differences in growth period and regional trial yield across ecological regions,with F values of 2484.95 and 472.83,respectively.Genetic diversity was relatively high in the Xi-Nan spring-sowing region(XN),with a gene diversity index of 0.72.Phenotypic clustering divided 325 variety records into four groups:Group X1 mainly included varieties from the Dong-Hua-Bei(DHB)and Xi-Bei(XB)spring-sowing regions;Group X2 was dominated by varieties from the Bei-Fang(BF)early-maturity spring-sowing region;Group X3 included varieties from the XN region;and Group X4 mostly comprised varieties from the Huang-Huai-Hai(HHH)summer-sowing and Dong-Nan(DN)spring-sowing regions.Phenotypic differentiation among ecological regions followed clear trends:DHB and XB varieties were characterized by medium-late maturity and tall stalks;BF by early maturity and medium short stalks;XN by medium maturity and medium stalks;and HHH and DN by early maturity and medium stalks.Notably,XN,HHH,and DN regions experienced rela-tively high disease pressure.Principal component analysis(PCA)of phenotypic traits showed that the first two components ex-plained 69.0%of the total variance,with clear group separation,supporting the validity of the phenotypic classifications.Geno-typic clustering also divided the 273 varieties into four groups.In Group Y1,the predominant heterosis patterns were Reid×X and Improved Reid×X;in Group Y2,X×Tangsipingtou(Huangzaosi-derived lines);and in Group Y4,Improved Reid×Tang-sipingtou.Genotypic PCA demonstrated a cumulative contribution of 57.9%from the first two components,with clear intra-group cohesion and significant inter-group differentiation,confirming the reliability of the genotypic groupings.Association analysis between genotypes and phenotypes revealed a weak correlation,likely due to the design objectives of molecular marker selection.Maize varieties from different ecological regions in China exhibit distinct regional differentiation in field performance and paren-tal heterosis groups,resulting in a well-defined correspondence among ecological zones,trait expression,and genetic background.This pattern reflects region-specific breeding goals that prioritize yield stability and efficient resource utilization.
杨扬;赵久然;常诗惠;田红丽;易红梅;王璐;任洁;范亚明;刘亚维;王凤格
北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京 100097
玉米国审品种生态区表型数据基因型数据遗传多样性
maizenationally approved varietiesecological regionsphenotypic datagenotypic datagenetic diversity
《作物学报》 2026 (5)
1352-1363,12
本研究由农业生物育种国家科技重大专项(2022ZD04019),北京市农林科学院科技创新能力建设专项(KJCX20230303)和北京学者项目(BSP041)资助.This study was supported by the Biological Breeding-National Science and Technology Major Project(2022ZD04019),the Science and Technology Innovation Capacity Building Project of BAAFS(KJCX20230303),and the Beijing Scholars Program(BSP041).
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