• Chinese Core Journal
  • Chinese Science Citation Database (CSCD) Source journal
  • Journal of Citation Report of Chinese S&T Journals (Core Edition)
Li Qiwei Wang Jianming. A NEW METHOD OF MEASURING GENETIC DIFFERENCES[J]. Journal of South China Agricultural University, 1991, (3): 49-54.
Citation: Li Qiwei Wang Jianming. A NEW METHOD OF MEASURING GENETIC DIFFERENCES[J]. Journal of South China Agricultural University, 1991, (3): 49-54.

A NEW METHOD OF MEASURING GENETIC DIFFERENCES

More Information
  • Published Date: July 09, 1991
  • The genetic differences between sugarcane parents were estimated by ten genetic divergence criteria, and principal component analysis was performed on these ten divergence indices of 28 combinations. The first three eigenvalues and corresponding eigenvectors of the principal components which accounted for more than 88 % of the total variation of all the indices were selected. The first three principal component values of each cross were caculated, and the relationship between the first three principal components of the crosses and major economic characters of the hybrids were investigated. The research methods described were discussed.
  • Cited by

    Periodical cited type(8)

    1. 付景枝,马悦,宏观,刘云平,吴文宇,丁明明,尹泽凡. 基于I_CBAM-DenseNet模型的小麦发育期识别研究. 南京信息工程大学学报. 2025(01): 42-52 .
    2. 方俊泽,郭正,李歌,邢素霞,王瑜. 基于改进Swin-Transformer的柑橘病叶分类模型. 中国农机化学报. 2024(01): 252-258 .
    3. 黄家福,吴恋,王院,熊草云,卢杰,高瑜鸿. 基于深度学习的水稻病虫害检测系统设计与实现. 电脑知识与技术. 2024(04): 19-21+24 .
    4. 刘正国,韩玮,高照,张子杰,刘建立,李晓鹏. 基于数字图像处理的水稻生长特征识别研究进展. 中国稻米. 2024(04): 7-11+16 .
    5. 马春悦,郭秀茹,王琛,孙博,王志军. 一种基于改进ResNet18神经网络的玉米叶片病害识别方法. 山东农业大学学报(自然科学版). 2024(03): 356-366 .
    6. 陈浩,唐柳青. 基于迁移学习和VGG19卷积神经网络的苹果树叶片病虫害图像分类方法. 南方农机. 2024(20): 6-9 .
    7. 陈诗瑶,孔淳,冯峰,孙博,王志军. 一种基于改进ResNet18神经网络的苹果叶片病害识别方法. 山东农业科学. 2024(10): 174-180 .
    8. 杨明轩,陈琳. 改进YOLOv5的棉田杂草检测. 现代电子技术. 2024(24): 60-67 .

    Other cited types(6)

Catalog

    Article views (1059) PDF downloads (1033) Cited by(14)
    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return