IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v11y2021i8p770-d613190.html
   My bibliography  Save this article

Heading Uniformity: A New Comprehensive Indicator of Rice Population Quality

Author

Listed:
  • Chuanhai Shu

    (Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China
    The authors contributed equally to this work.)

  • Feijie Li

    (Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China
    The authors contributed equally to this work.)

  • Dongdong Liu

    (College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China)

  • Jian Qin

    (Institute of Rice and Sorghum, Sichuan Academy of Agricultural Sciences, Deyang 618000, China)

  • Mingtian Wang

    (Sichuan Provincial Meteorological Service, Chengdu 610072, China)

  • Yongjian Sun

    (Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China)

  • Na Li

    (Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China)

  • Jun Ma

    (Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China)

  • Zhiyuan Yang

    (Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

Productive tiller percentage (PTP) is the only available comprehensive indicator of rice population quality. However, productive panicle number (PN) has a great effect on its characterization accuracy. Panicle exsertion is an important but difficult to describe morphological index; therefore, it cannot be easily determined. The aims of this study were to develop heading uniformity (HU), which describes the difference in the degree of rice panicle exsertion, as a new comprehensive indicator by designing a representative sampling and calculation method and exploring the relationship between HU and yield components. HU first decreased then increased after initial heading, exhibiting a single-valley curve. Adequate HU was obtained by panicle sampling on day two or three (panicle N fertilizer proportion ≤40 or >40%) after initial heading. The explanatory power of PTP for grain yield variance was markedly insufficient in low- and high-PN rice populations. Compared with the percent contribution of PTP to grain yield variance (12.32–41.26%), that of HU (49.02–61.93%) was greater and more stable across rice populations of different PNs. Moreover, HU showed fewer interannual variations, despite large interannual differences in weather and soil conditions. Hence, HU may have applications as a comprehensive indicator of rice population quality.

Suggested Citation

  • Chuanhai Shu & Feijie Li & Dongdong Liu & Jian Qin & Mingtian Wang & Yongjian Sun & Na Li & Jun Ma & Zhiyuan Yang, 2021. "Heading Uniformity: A New Comprehensive Indicator of Rice Population Quality," Agriculture, MDPI, vol. 11(8), pages 1-13, August.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:8:p:770-:d:613190
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/11/8/770/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/11/8/770/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:11:y:2021:i:8:p:770-:d:613190. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.