杨馥熔,杜冰,郭浩杰,王成,张富厚,孟超敏.谷子主要表型性状与籽粒叶酸含量的相关分析[J].干旱地区农业研究,2024,(5):54~62
谷子主要表型性状与籽粒叶酸含量的相关分析
Correlation analysis between main phenotypic traits and grain folic acid content of millet
  
DOI:10.7606/j.issn.1000-7601.2024.05.06
中文关键词:  谷子  籽粒叶酸含量  表型  相关性  聚类分析
英文关键词:millet  grain folic acid content  phenopyte  correlation  cluster analysis
基金项目:河南省科技攻关项目(242102110278);河南省产业科技特派员项目(2018HNCYTPY01);河南省旱地绿色智慧农业特色骨干学科群建设项目(17100001)
作者单位
杨馥熔 河南科技大学农学院/河南省旱地作物种质资源利用工程研究中心河南 洛阳 471000 
杜冰 河南科技大学农学院/河南省旱地作物种质资源利用工程研究中心河南 洛阳 471000 
郭浩杰 河南科技大学农学院/河南省旱地作物种质资源利用工程研究中心河南 洛阳 471000 
王成 河南科技大学农学院/河南省旱地作物种质资源利用工程研究中心河南 洛阳 471000 
张富厚 河南科技大学农学院/河南省旱地作物种质资源利用工程研究中心河南 洛阳 471000 
孟超敏 河南科技大学农学院/河南省旱地作物种质资源利用工程研究中心河南 洛阳 471000 
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中文摘要:
      于2022年6月在河南省洛阳市汝阳县农场,采用随机区组设计种植66份新优谷子品种,测定成熟期不同品种的8个农艺性状指标、12个品质性状指标及籽粒叶酸含量,通过变异系数分析、相关性分析、聚类分析和主成分分析筛选出高叶酸谷子品种并确定谷子高叶酸评价指标。结果表明:66个谷子品种农艺性状的变异范围为7.69%~22.36%,变异系数最大的是穗下节间长度,变异系数最小的是叶宽;品质性状的变异范围为1.45%~39.34%,变异系数最大的是粗纤维含量,变异系数最小的是碳水化合物含量。籽粒叶酸含量在0.89~2.80 μg·g-1之间,叶酸含量最高的是济糯米2号,叶酸含量最低的是中谷989。相关性分析结果表明:谷子叶酸含量与碳水化合物和蛋氨酸含量呈极显著正相关,相关系数分别为0.120和0.108;与含水量,粗蛋白干基、粗脂肪、赖氨酸、苯丙氨酸和苏氨酸含量呈极显著负相关,相关系数分别为-0.131、-0.150、-0.152、-0.113、-0.134和-0.129。聚类分析结果显示,66个谷子品种可分成3个类群,第Ⅰ类群植株较矮,穗长和穗下节间长度较小;第Ⅱ类群营养成分及叶酸含量较高;第Ⅲ类群穗长较长,穗粗和茎粗较大。主成分分析结果表明,谷子21个指标可分为7个主成分,累计贡献率达86.144%。综上所述,谷子籽粒叶酸含量和品质性状间关系密切,碳水化合物和蛋氨酸含量可作为筛选高叶酸谷子品种的重要指标。
英文摘要:
      In June 2022, a randomized block group design was employed to plant 66 new superior millet varieties at Ruyang County farm, Luoyang City, Henan Province. The aim was to evaluate eight agronomic traits, twelve quality traits, and seed folate content in millet varieties at the maturity stage. The goal was to identify high\|folate millet varieties and establish evaluation indexes for high folate content in millet using coefficient of variation analysis, correlation analysis, cluster analysis, and principal component analysis. The study found that among the 66 millet varieties, the agronomic traits varied between 7.69% and 22.36%, with the length of the internode under the spike having the highest coefficient of variation and the width of the leaf having the lowest. The quality traits varied between 1.45% and 39.34%, with the crude fiber content having the highest coefficient of variation and the carbohydrate content having the lowest. The folate content of the seeds ranged from 0.89 μg·g-1 to 2.80 μg·g-1. Jinuomi 2 had the highest folate content, while Zhonggu 989 had the lowest. The results of the correlation analyses indicated that millet folate content was positively correlated with carbohydrate and methionine content, and the correlation coefficients were 0.120 and 0.108, respectively. The millet folate content was negatively correlated with water content, crude protein dry basis, crude fat, lysine, phenylalanine, and threonine content, and the correlation coefficients were -0.131, -0.150, -0.152, -0.113, -0.134 and -0.129, respectively. These correlations were highly significant. The cluster analysis results indicated that the 66 millet varieties could be classified into three groups. Group I consisted of shorter plants with smaller spike length and internode length under the spike. Group II had higher nutrient and folate contents. Group III had longer spike length and larger spike and stem thickness. The principal component analysis results showed that the 21 millet indexes could be divided into 7 principal components, cumulatively contributing to 86.144%. In summary, there was a strong correlation between the folate content and quality traits in millets. Carbohydrate and methionine content can serve as important indicators for screening high folate millet varieties.
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