姜丽娜, 蒿宝珍, 张黛静, 邵云, 李春喜. 小麦籽粒Zn、Fe、Mn、Cu含量的基因型和环境差异及与产量关系的研究[J]. 中国生态农业学报(中英文), 2010, 18(5): 982-987. DOI: 10.3724/SP.J.1011.2010.00982
引用本文: 姜丽娜, 蒿宝珍, 张黛静, 邵云, 李春喜. 小麦籽粒Zn、Fe、Mn、Cu含量的基因型和环境差异及与产量关系的研究[J]. 中国生态农业学报(中英文), 2010, 18(5): 982-987. DOI: 10.3724/SP.J.1011.2010.00982
JIANG Li-Na, HAO Bao-Zhen, ZHANG Dai-Jing, SHAO Yun, LI Chun-Xi. Genotypic and environmental differences in grain contents of Zn, Fe, Mn and Cu and how they relate to wheat yield[J]. Chinese Journal of Eco-Agriculture, 2010, 18(5): 982-987. DOI: 10.3724/SP.J.1011.2010.00982
Citation: JIANG Li-Na, HAO Bao-Zhen, ZHANG Dai-Jing, SHAO Yun, LI Chun-Xi. Genotypic and environmental differences in grain contents of Zn, Fe, Mn and Cu and how they relate to wheat yield[J]. Chinese Journal of Eco-Agriculture, 2010, 18(5): 982-987. DOI: 10.3724/SP.J.1011.2010.00982

小麦籽粒Zn、Fe、Mn、Cu含量的基因型和环境差异及与产量关系的研究

Genotypic and environmental differences in grain contents of Zn, Fe, Mn and Cu and how they relate to wheat yield

  • 摘要: 小麦籽粒中微量营养元素含量的高低直接关系到植株的生长发育和人们的饮食健康。本研究以来自河南省5个地区的17个小麦品种(系)为材料, 采用酸消解-原子吸收分光光度法测定了籽粒中Zn、Fe、Mn、Cu含量, 分析了籽粒微量元素含量的基因型和环境差异及其与产量性状的相关关系。结果表明, 小麦籽粒Zn、Fe、Mn、Cu含量分别为38.39±12.57 μg·g-1、79.13±49.45 μg·g-1、35.24±11.72 μg·g-1和4.84±0.78 μg·g-1, 籽粒Fe含量的变异系数最大, Cu含量的变异系数最小。方差分析表明, 基因型、环境以及基因型与环境的互作对籽粒微量元素含量的影响均达极显著水平。对于籽粒Zn、Mn、Cu含量, 环境因素的影响起主要作用; 对于籽粒Fe含量, 基因型与环境互作的影响是主要的。依照Eberhart-Russell 模型分析了籽粒微量元素含量的品种稳定性, 结果表明籽粒微量元素含量相对稳定的品种, 其含量通常较低; 在参试17个品种中, “濮99084”籽粒微量元素含量的环境稳定性较高。相关分析表明, 籽粒微量元素含量与蛋白质含量呈遗传正相关, 与千粒重呈遗传负相关, 与产量呈表型正相关, 表明同步提高籽粒微量元素含量、蛋白质含量及籽粒产量是可行的。

     

    Abstract: Grain content of micronutrients is crucial for wheat growth and dietetic health. High grain contents of micronutrients are beneficial to enhancing nutritional functions of grains and guaranteeing security of crop products. By using acid digestion and atomic absorption spectrophotometry, Zn, Fe, Mn and Cu contents were measured in the grains of 17 wheat varieties from 5 different regions in Henan Province. Genotypic and environmental differences in Zn, Fe, Mn and Cu contents in gains and their relation to yield characteristics were also analyzed. The study shows that grain contents of Zn, Fe, Mn and Cu are 38.39±12.57 μg·g-1, 79.13±49.45 μg·g-1, 35.24±11.72 μg·g-1, and 4.84±0.78 μg·g-1, respectively. The variation coefficient of grain Fe content is the highest and that of Cu is the lowest. Analysis of variance shows that the effects of genotype, environment and genotype/environment interaction (GEI) are significant (P<0.01). Whereas wheat grain content of Zn, Mn and Cu is largely influenced by environment, that of Fe is mainly driven by GEI. Varietal stability of grain micronutrient content was also analyzed using the Eberhart and Russell model. The analysis indicates that varieties, whose micronutrients contents are insensitive to environment, have lower grain micronutrient content and vice versa. Among the 17 varieties, “Pu99084” has the highest environmental stability. Correlation analysis shows a positive genetic correlation between micronutrient and protein contents. There is a negative genetic correlation between micronutrient content and 1000-grain weight. However, phenotypic correlation between micronutrient content and grain yield is positive. There exists the possibility for simultaneously improving grain contents of micronutrients, protein and yield.

     

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