谷子四大名米及其同名地方品种农艺及品质性状分析与优异资源鉴定
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1.中国农业科学院作物科学研究所, 山西农业大学农学院;2.中国农业科学院作物科学研究所;3.山西农业大学农学院;4.赤峰农牧科学研究所

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国家谷子高粱产业技术体系;国家现代农业产业技术体系建设专项(CARS-06-14.5-A2);农作物种质资源保护与利用专项(2022NWB036-06);中国农业科学院科技创新工程


Analysis of Agronomic and Quality Traits in Four Famous Landraces and Their Homonyms Local Varieties of Foxtail Millet and Identification of Superior Germplasm
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1.Institute of Crop Sciences,Chinese Academy of Agricultural Sciences;2.College of Agronomy, Shanxi Agricultural University;3.Chifeng Academy of Agricultural Animal Husbandry Sciences;4.College of Agronomy,Shanxi Agricultural University

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National foxtoil millet sorghum industry technology system; this study was supported by the China Agriculture Research System of MOF and MARA (CARS-06-14.5-A2); the Protection and Utilization for Crop Germplasm Resources (2022NWB036-06); the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences

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    摘要:

    对谷子四大名米(沁州黄、桃花米、龙山小米及金米)原始地方品种及其同名品种共计179份开展为期两年的农艺性状调查,从中选择51份进行营养品质测定。结果表明从农艺性状来看,四类名米品种在数量性状上具有明显差异,而质量性状在不同类品种间差异不大。相关性分析表明,穗粗与穗粒重、草重与穗粒重的相关性最强。主成分分析表明前4个主成分解释了累积变异的84.51%,基于主成分分析结果计算了综合得分F值,阴天旱-19的综合得分最高(F=2.25),菠菜根-75的综合得分最低为(F=-1.33)。基于农艺性状对179份材料进行聚类分析,发现材料划归四个类群,同名品种内聚集相对集中,农艺性状相似度较大。从营养品质上看,四类名米间营养品质差异较小,除粗纤维外其余营养品质指标差异均不显著。相关性分析发现粗蛋白与粗脂肪呈现较强的正相关关系;淀粉与蛋白质、脂肪之间呈现强烈的负相关关系。主成分分析表明前6个主要成分解释了累积变异的88.41%,能够基本涵盖10个营养品质的信息,基于主成分分析,结合不同品种谷子的综合得分,对小米品质进行排名,排名靠前的品种有菠菜根-77、菠菜根-33、菠菜根-44、爬坡糙-15、九根齐-25和阴天旱-13。

    Abstract:

    A two-year agronomic trait survey was conducted on 179 foxtail millet accessions which are homonyms of the four famous landraces (Qinzhouhuang, Taohuami, Longshanxiaomi and Jinmi), 51 accessions including the four original varieties were selected for nutritional quality analysis. The results showed that the quantitative traits of 179 accessions were significantly different from each other, while the quality traits did not differ much among the varieties. The correlation analysis showed that there are strong correlation between ear diameter and ear weight as well as stalk weight and kernel weight of single ear. Principal component analysis showed that the first four principal components explained 84.51% of the cumulative variation. The composite score F-value was calculated based on the results of principal component analysis, and the highest composite score was obtained for Yintianhan-19 (F=2.25) and the lowest composite score was obtained for Bocaigen-75 (F=-1.33). Cluster analysis based on agronomic traits revealed that the 179 accessions were classified into four clusters with relatively concentrated clustering within homonyms varieties and greater similarity of agronomic traits. The differences in nutritional quality among the four categories of famous foxtail millet were small, and the differences in all nutritional quality indexes except crude fiber were not significant. The correlation analysis revealed that crude protein and crude fat showed a strong positive correlation; starch showed a strong negative correlation with protein and fat. The principal component analysis showed that the first six major components explained 88.41% of the cumulative variation and could basically cover the information of the 10 nutritional qualities. Based on the principal component analysis of nutritional qualities, the top ranked varieties were Bocaigen-77, Bocaigen-33, Bocaigen-44, Papocao-15, Jugenqi-25 and Yintianhan-13, combined with the comprehensive scores of different accessions.

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  • 收稿日期:2023-06-09
  • 最后修改日期:2023-08-22
  • 录用日期:2023-09-07
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