Literature DB >> 26911925

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

Christopher N Topp1, Adam L Bray1, Nathanael A Ellis1, Zhengbin Liu1.   

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.
© 2016 The Authors. Journal of Integrative Plant Biology Published by John Wiley & Sons Australia, Ltd on behalf of Institute of Botany, Chinese Academy of Sciences.

Keywords:  Architecture; genetics; imaging; quantification; root

Mesh:

Year:  2016        PMID: 26911925     DOI: 10.1111/jipb.12470

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  13 in total

1.  The Persistent Homology Mathematical Framework Provides Enhanced Genotype-to-Phenotype Associations for Plant Morphology.

Authors:  Mao Li; Margaret H Frank; Viktoriya Coneva; Washington Mio; Daniel H Chitwood; Christopher N Topp
Journal:  Plant Physiol       Date:  2018-06-05       Impact factor: 8.340

Review 2.  The Quest for Understanding Phenotypic Variation via Integrated Approaches in the Field Environment.

Authors:  Duke Pauli; Scott C Chapman; Rebecca Bart; Christopher N Topp; Carolyn J Lawrence-Dill; Jesse Poland; Michael A Gore
Journal:  Plant Physiol       Date:  2016-08-01       Impact factor: 8.340

3.  Hope in Change: The Role of Root Plasticity in Crop Yield Stability.

Authors:  Christopher N Topp
Journal:  Plant Physiol       Date:  2016-09       Impact factor: 8.340

4.  Three-Dimensional Time-Lapse Analysis Reveals Multiscale Relationships in Maize Root Systems with Contrasting Architectures.

Authors:  Ni Jiang; Eric Floro; Adam L Bray; Benjamin Laws; Keith E Duncan; Christopher N Topp
Journal:  Plant Cell       Date:  2019-05-23       Impact factor: 11.277

5.  Phenotyping Complex Plant Structures with a Large Format Industrial Scale High-Resolution X-Ray Tomography Instrument.

Authors:  Keith E Duncan; Christopher N Topp
Journal:  Methods Mol Biol       Date:  2022

6.  Shared Genetic Control of Root System Architecture between Zea mays and Sorghum bicolor.

Authors:  Zihao Zheng; Stefan Hey; Talukder Jubery; Huyu Liu; Yu Yang; Lisa Coffey; Chenyong Miao; Brandi Sigmon; James C Schnable; Frank Hochholdinger; Baskar Ganapathysubramanian; Patrick S Schnable
Journal:  Plant Physiol       Date:  2019-11-18       Impact factor: 8.340

7.  DIRT/3D: 3D root phenotyping for field-grown maize (Zea mays).

Authors:  Suxing Liu; Carlos Sherard Barrow; Meredith Hanlon; Jonathan P Lynch; Alexander Bucksch
Journal:  Plant Physiol       Date:  2021-10-05       Impact factor: 8.340

Review 8.  The intersection of nitrogen nutrition and water use in plants: new paths toward improved crop productivity.

Authors:  Darren C Plett; Kosala Ranathunge; Vanessa J Melino; Noriyuki Kuya; Yusaku Uga; Herbert J Kronzucker
Journal:  J Exp Bot       Date:  2020-07-25       Impact factor: 6.992

9.  High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography.

Authors:  Takanari Tanabata; Yusaku Uga; Shota Teramoto; Satoko Takayasu; Yuka Kitomi; Yumiko Arai-Sanoh
Journal:  Plant Methods       Date:  2020-05-11       Impact factor: 4.993

10.  The Quantitative Genetic Control of Root Architecture in Maize.

Authors:  Adam L Bray; Christopher N Topp
Journal:  Plant Cell Physiol       Date:  2018-10-01       Impact factor: 4.927

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.