J Integr Plant Biol ›› 2016, Vol. 58 ›› Issue (3): 213-225.DOI: 10.1111/jipb.12470

• • 上一篇    下一篇

How can we harness quantitative genetic variation in crop root systems for agricultural improvement?

Christopher N. Topp*, Adam L. Bray, Nathanael A. Ellis and Zhengbin Liu   

  • 收稿日期:2016-01-07 接受日期:2016-02-21 出版日期:2016-03-18 发布日期:2016-02-23

How can we harness quantitative genetic variation in crop root systems for agricultural improvement?

Christopher N. Topp*, Adam L. Bray, Nathanael A. Ellis and Zhengbin Liu   

  1. Donald Danforth Plant Science Center, Saint Louis, Missouri 63132, USA
  • Received:2016-01-07 Accepted:2016-02-21 Online:2016-03-18 Published:2016-02-23
  • About author:These authors contributed equally to this manuscript
    *Correspondence: E-mail: ctopp@danforthcenter.org

摘要: This review article focuses on technologies and methodologies that allow us to measure root systems, the “hidden-half” of plants, and how we can utilize them to develop more stress resistant crop plants with fewer resources.

Abstract:

Root systems are a black box obscuring a comprehensive understanding of plant function, from the ecosystem scale down to the individual. In particular, a lack of knowledge about the genetic mechanisms and environmental effects that condition root system growth hinders our ability to develop the next generation of crop plants for improved agricultural productivity and sustainability. We discuss how the methods and metrics we use to quantify root systems can affect our ability to understand them, how we can bridge knowledge gaps and accelerate the derivation of structure-function relationships for roots, and why a detailed mechanistic understanding of root growth and function will be important for future agricultural gains.

Key words: Architecture, genetics, imaging, quantification, root

[an error occurred while processing this directive]