IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i2p165-d732422.html
   My bibliography  Save this article

Finding Stable QTL for Plant Height in Super Hybrid Rice

Author

Listed:
  • Huali Yang

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China)

  • Qinqin Yang

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China)

  • Yiwei Kang

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China)

  • Miao Zhang

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China)

  • Xiaodeng Zhan

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China)

  • Liyong Cao

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China
    Northern Center of China National Rice Research Institute, Jiamusi 155100, China)

  • Shihua Cheng

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China)

  • Weixun Wu

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China)

  • Yingxin Zhang

    (State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311401, China)

Abstract

Plant height (PH) is one of the most important agronomic traits determining plant architecture in rice. To investigate the genetic basis of plant height in the high-yielding hybrid rice variety Nei2You No.6, recombinant inbred sister lines (RISLs) were used to map quantitative trait loci (QTL) over four years. A total of 19 minor/medium-effect QTLs were mapped on eleven chromosomes except chromosome 10, totally explaining 44.61–51.15% phenotypic variance in four environments. Among these, qPH-1a , qPH-1b , qPH-2b , qPH-3b , qPH-6 , and qPH-7b were repeatedly detected over four years. Among these, the qPH-6 was mapped to an interval of 22.11–29.41 Mb on chromosome 6L, which showed the highest phenotypic variation explained (PVE) of 10.22–14.05% and additive effect of 3.45–4.63. Subsequently, evaluation of near isogenic lines (NILs) showed that the qPH-6 allele from the restorer line (R8006) could positively regulate plant height, resulting in an 18.50% increase in grain yield. These results offered a basis for further mapping of qPH-6 and molecular breeding in improving plant architecture in rice.

Suggested Citation

  • Huali Yang & Qinqin Yang & Yiwei Kang & Miao Zhang & Xiaodeng Zhan & Liyong Cao & Shihua Cheng & Weixun Wu & Yingxin Zhang, 2022. "Finding Stable QTL for Plant Height in Super Hybrid Rice," Agriculture, MDPI, vol. 12(2), pages 1-10, January.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:2:p:165-:d:732422
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/2/165/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/2/165/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jinrong Peng & Donald E. Richards & Nigel M. Hartley & George P. Murphy & Katrien M. Devos & John E. Flintham & James Beales & Leslie J. Fish & Anthony J. Worland & Fatima Pelica & Duraialagaraja Sudh, 1999. "‘Green revolution’ genes encode mutant gibberellin response modulators," Nature, Nature, vol. 400(6741), pages 256-261, July.
    2. A. Sasaki & M. Ashikari & M. Ueguchi-Tanaka & H. Itoh & A. Nishimura & D. Swapan & K. Ishiyama & T. Saito & M. Kobayashi & G. S. Khush & H. Kitano & M. Matsuoka, 2002. "A mutant gibberellin-synthesis gene in rice," Nature, Nature, vol. 416(6882), pages 701-702, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongmei Chen & Yongyi Fan & Dian Li & Zhihao Sun & Zheyan Ruan & Huali Yang & Yiwei Kang & Weixun Wu & Qunen Liu & Xiaodeng Zhan & Liyong Cao & Ming Zhou & Shihua Cheng & Yingxin Zhang, 2023. "Genetic Dissection of Tiller Number qTN4 in Rice," Agriculture, MDPI, vol. 13(2), pages 1-14, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wenlong Yang & Ameer Ahmed Mirbahar & Muhammad Shoaib & Xueyuan Lou & Linhe Sun & Jiazhu Sun & Kehui Zhan & Aimin Zhang, 2022. "The Carotenoid Cleavage Dioxygenase Gene CCD7-B , at Large, Is Associated with Tillering in Common Wheat," Agriculture, MDPI, vol. 12(2), pages 1-14, February.
    2. Hai-Yan Lü & Xiao-Fen Liu & Shi-Ping Wei & Yuan-Ming Zhang, 2011. "Epistatic Association Mapping in Homozygous Crop Cultivars," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-10, March.
    3. Taikui Zhang & Weichen Huang & Lin Zhang & De-Zhu Li & Ji Qi & Hong Ma, 2024. "Phylogenomic profiles of whole-genome duplications in Poaceae and landscape of differential duplicate retention and losses among major Poaceae lineages," Nature Communications, Nature, vol. 15(1), pages 1-27, December.
    4. Shichen Li & Zhihui Sun & Qing Sang & Chao Qin & Lingping Kong & Xin Huang & Huan Liu & Tong Su & Haiyang Li & Milan He & Chao Fang & Lingshuang Wang & Shuangrong Liu & Bin Liu & Baohui Liu & Xiangdon, 2023. "Soybean reduced internode 1 determines internode length and improves grain yield at dense planting," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. Eva Johansson & Faraz Muneer & Thomas Prade, 2023. "Plant Breeding to Mitigate Climate Change—Present Status and Opportunities with an Assessment of Winter Wheat Cultivation in Northern Europe as an Example," Sustainability, MDPI, vol. 15(16), pages 1-14, August.
    6. Hewan Degu & Tatsuhito Fujimura, 2010. "Mapping QTLs Related to Plant Height and Root Development of Eragrostis tef under Drought," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 2(2), pages 1-62, May.
    7. Bennett, J., 2003. "Opportunities for increasing water productivity of CGIAR crops through plant breeding and molecular biology," IWMI Books, Reports H032638, International Water Management Institute.
    8. Rajbir Yadav & S S Singh & Neelu Jain & Gyanendra Singh & KV Prabhu, 2010. "Wheat Production in India: Technologies to Face Future Challenges," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 2(2), pages 164-164, May.
    9. Yakun Wang & Shengjia Tang & Naihui Guo & Ruihu An & Zongliang Ren & Shikai Hu & Xiangjin Wei & Guiai Jiao & Lihong Xie & Ling Wang & Ying Chen & Fengli Zhao & Peisong Hu & Zhonghua Sheng & Shaoqing T, 2023. "Base Editing of EUI1 Improves the Elongation of the Uppermost Internode in Two-Line Male Sterile Rice Lines," Agriculture, MDPI, vol. 13(3), pages 1-13, March.
    10. Jiaqi Sun & Shiyu Huang & Qing Lu & Shuo Li & Shizhen Zhao & Xiaojian Zheng & Qian Zhou & Wenxiao Zhang & Jie Li & Lili Wang & Ke Zhang & Wenyu Zheng & Xianzhong Feng & Baohui Liu & Fanjiang Kong & Fe, 2023. "UV-B irradiation-activated E3 ligase GmILPA1 modulates gibberellin catabolism to increase plant height in soybean," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    11. Liqiang Song & Ruihui Wang & Xueju Yang & Aimin Zhang & Dongcheng Liu, 2023. "Molecular Markers and Their Applications in Marker-Assisted Selection (MAS) in Bread Wheat ( Triticum aestivum L.)," Agriculture, MDPI, vol. 13(3), pages 1-18, March.
    12. Zhanglun Sun & Tianrun Mei & Tingting Feng & Hao Ai & Yafeng Ye & Sumei Duan & Binmei Liu & Xianzhong Huang, 2023. "Deletion of the OsLA1 Gene Leads to Multi-Tillering and Lazy Phenotypes in Rice," Agriculture, MDPI, vol. 13(11), pages 1-11, November.
    13. Daisuke Ogawa & Toshihiro Sakamoto & Hiroshi Tsunematsu & Toshio Yamamoto & Noriko Kanno & Yasunori Nonoue & Jun-ichi Yonemaru, 2019. "Surveillance of panicle positions by unmanned aerial vehicle to reveal morphological features of rice," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-13, October.
    14. Motonori Tomita & Hideumi Ebata & Kohei Nakayama, 2022. "Large-Grain and Semidwarf Isogenic Rice Koshihikari Integrated with GW2 and sd1," Sustainability, MDPI, vol. 14(17), pages 1-15, September.
    15. Youlin Peng & Yungao Hu & Qian Qian & Deyong Ren, 2021. "Progress and Prospect of Breeding Utilization of Green Revolution Gene SD 1 in Rice," Agriculture, MDPI, vol. 11(7), pages 1-11, June.

    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:12:y:2022:i:2:p:165-:d:732422. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.