欢迎访问《植物研究》杂志官方网站,今天是

植物研究 ›› 2026, Vol. 46 ›› Issue (3): 542-556.doi: 10.7525/j.issn.1673-5102.2026.03.014

• 研究论文 • 上一篇    下一篇

加工型马铃薯F1群体遗传分析与高效筛选

马豆豆1,2, 林柏松3, 张新杰1, 王艳红3, 贾国忠3, 薛媛媛3, 刘芳明3, 崔江慧1,2()   

  1. 1.河北农业大学农学院,保定 071000
    2.河北省作物种质资源重点实验室,保定 071000
    3.围场满族蒙古族自治县马铃薯研究院,承德 068450
  • 收稿日期:2026-01-21 出版日期:2026-05-20 发布日期:2026-06-01
  • 通讯作者: 崔江慧 E-mail:cjianghui521@126.com
  • 作者简介:马豆豆(1996—),女,硕士研究生,主要从事作物品种开发与利用研究。
  • 基金资助:
    河北省(承德)马铃薯种薯产业技术研究院项目(SC2021028);河北省脱毒马铃薯繁育技术创新中心项目(SG2012016)

Genetic Analysis and Efficient Screening of Processing Potato F₁ Population

Doudou MA1,2, Bosong LIN3, Xinjie ZHANG1, Yanhong WANG3, Guozhong JIA3, Yuanyuan XUE3, Fangming LIU3, Jianghui CUI1,2()   

  1. 1.College of Agronomy,Hebei Agricultural University,Baoding 071000
    2.Hebei Key Laboratory of Crop Germplasm Resources,Baoding 071000
    3.Potato Research Institute of Weichang Manchu and Mongolian Autonomous County,Chengde 068450
  • Received:2026-01-21 Online:2026-05-20 Published:2026-06-01
  • Contact: Jianghui CUI E-mail:cjianghui521@126.com

摘要:

针对加工型马铃薯产量与品质协同选育难、全表型鉴定成本高的问题,本研究通过构建高效综合评价体系,建立了早代简化预测模型。以‘大西洋’ב露辛达’杂交构建的267份F1代群体为材料,连续2 a对24项表型性状进行测定与遗传解析。结果表明:F1群体各性状变异广泛(CV为14.68%~100.97%),呈连续正态分布,符合微效多基因控制的数量遗传规律。其中,淀粉含量与产量表现出显著的正向杂种优势,且具有较高的广义遗传力。通过主成分分析(PCA)提取出9个综合指标(累计方差贡献率为84.80%),结合模糊隶属函数与系统聚类分析,成功筛选出17份具有加工潜力的优良系,其中5份核心材料达到严格的加工品质标准。进一步引入最小绝对收缩与选择算子(LASSO)回归算法,从24项多维表型数据中精准筛选出内聚性、还原糖含量等5项核心指标,构建了马铃薯早代高效筛选的简化模型,从而为加工型马铃薯的精准选育提供可靠的方法学支撑。

关键词: 马铃薯, F1群体, 遗传倾向, 最小绝对收缩与选择算子, 简化模型

Abstract:

To address the breeding challenges of simultaneous selection for yield and quality, along with the high costs and low efficiency of full phenotypic identification in processing potatoes, this study established an efficient comprehensive evaluation system and a simplified early-generation prediction model. An F1 population comprising 267 individuals, derived from the cross of ‘Atlantic’בLucinda’, was utilized to conduct phenotypic measurements and genetic analysis of 24 traits over two consecutive years. The results indicated that all traits in the population exhibited extensive variation—with coefficients of variation(CV) ranging from 14.68% to 100.97%—and followed a continuous normal distribution, conforming to the quantitative genetic patterns controlled by minor polygenes. Notably, starch content and yield demonstrated significant positive heterosis and high broad-sense heritability. Through principal component analysis(PCA), nine comprehensive indicators were extracted(cumulative variance contribution rate of 84.80%). Combined with fuzzy membership function and hierarchical cluster analysis, 17 elite clones with high processing potential were successfully identified, five of which reached stringent processing quality standards. Moreover, the least absolute shrinkage and selection operator(LASSO) regression algorithm was introduced to precisely screen five core indicators, including cohesiveness and reducing sugar content, from the 24-dimensional dataset to construct a simplified model for efficient early-generation screening. This study provides reliable methodological support for the efficient breeding and germplasm evaluation of processing potato varieties.

Key words: potato, F1 population, genetic tendency, least absolute shrinkage and selection operator, simplified model

中图分类号: