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Descriptive Statistics and Correlation Analysis of Three Kernel Morphology Traits in a Maize Recombinant Inbred Line Population

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Frontier and Future Development of Information Technology in Medicine and Education

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 269))

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Abstract

Maize (Zea mays L.) is one of the most important crops throughout the world. In this study, three agronomic traits related to kernel morphology of a recombinant inbred line (RIL) population derived from the cross between Mo17 and Huangzao4 were selected to be investigated, including kernel length, kernel width and kernel height. Furthermore, the descriptive statistics and correlation analysis were performed using SPSS 11.5 software in the three traits. The results are useful for further quantitative trait locus mapping and molecular marker-assisted selection for the three kernel morphology traits in maize breeding program.

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Acknowledgments

This work was financially supported by the Scientific Research Fund of the Sichuan Provincial Education Department (13ZA0012) of China.

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Authors and Affiliations

  1. Library, China West Normal University, Nanchong City, 637000, China

    Changmin Liao

  2. College of Life Science, China West Normal University, Nanchong City, 637000, China

    Daowen He & Xiaohong Liu

Authors
  1. Changmin Liao
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  2. Daowen He
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  3. Xiaohong Liu
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Corresponding author

Correspondence to Changmin Liao .

Editor information

Editors and Affiliations

  1. Cognitive Science, Xiamen University, Xiamen, People's Republic of China

    Shaozi Li

  2. Human Informatics and Cognitive Sciences, Waseda University Networked Information Systems Lab, Waseda, Japan

    Qun Jin

  3. School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido, Japan

    Xiaohong Jiang

  4. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

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Liao, C., He, D., Liu, X. (2014). Descriptive Statistics and Correlation Analysis of Three Kernel Morphology Traits in a Maize Recombinant Inbred Line Population. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_78

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  • DOI: https://doi.org/10.1007/978-94-007-7618-0_78

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7617-3

  • Online ISBN: 978-94-007-7618-0

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