論文

査読有り
2015年4月

A Mathematical Model of Phloem Sucrose Transport as a New Tool for Designing Rice Panicle Structure for High Grain Yield

PLANT AND CELL PHYSIOLOGY
  • Motohide Seki
  • ,
  • Francois Gabriel Feugier
  • ,
  • Xian-Jun Song
  • ,
  • Motoyuki Ashikari
  • ,
  • Haruka Nakamura
  • ,
  • Keiki Ishiyama
  • ,
  • Tomoyuki Yamaya
  • ,
  • Mayuko Inari-Ikeda
  • ,
  • Hidemi Kitano
  • ,
  • Akiko Satake

56
4
開始ページ
605
終了ページ
619
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1093/pcp/pcu191
出版者・発行元
OXFORD UNIV PRESS

Rice (Oryza sativa) is one of the most important food crops in the world. Numerous quantitative trait loci or genes controlling panicle architecture have been identified to increase grain yield. Yet grain yield, defined as the product of the number of well-ripened grains and their weight, is a complex trait that is determined by multiple factors such as source, sink and translocation capacity. Mechanistic modelling capturing capacities of source, sink and transport will help in the theoretical design of crop ideotypes that guarantee high grain yield. Here we present a mathematical model simulating sucrose transport and grain growth within a complex phloem network. The model predicts that the optimal panicle structure for high yield shows a simple grain arrangement with few higher order branches. In addition, numerical analyses revealed that inefficient delivery of carbon to panicles with higher order branches prevails regardless of source capacity, indicating the importance of designing grain arrangement and phloem structure. Our model highlights the previously unexplored effect of grain arrangement on the yield, and provides numerical solutions for optimal panicle structure under various source and sink capacities.

Web of Science ® 被引用回数 : 13

リンク情報
DOI
https://doi.org/10.1093/pcp/pcu191
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25516572
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000354730200004&DestApp=WOS_CPL
ID情報
  • DOI : 10.1093/pcp/pcu191
  • ISSN : 0032-0781
  • eISSN : 1471-9053
  • PubMed ID : 25516572
  • Web of Science ID : WOS:000354730200004

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