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Study on Two Agronomic Traits Associated with Kernel Weight in a Maize RIL Segregation 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 a very important crop in the world. In this present study, two important agronomic traits, related to kernel weight, were investigated in a maize Recombinant Inbred Line (RIL) population derived from the cross of Mo17 and Huangzao4, including 100-kernel weight and ear kernel weight. Furthermore, the descriptive statistics, analysis of variance and correlation analysis were performed using SPSS 11.5 software in the RIL population. The results are useful for further developing quantitative trait locus mapping and molecular marker-assisted selection for the two traits of maize.

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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, 637000, China

    Changmin Liao

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  1. Changmin Liao
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Correspondence to Changmin Liao .

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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. (2014). Study on Two Agronomic Traits Associated with Kernel Weight in a Maize RIL Segregation 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_79

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  • DOI: https://doi.org/10.1007/978-94-007-7618-0_79

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7617-3

  • Online ISBN: 978-94-007-7618-0

  • eBook Packages: EngineeringEngineering (R0)

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