Literature DB >> 31806535

Crop Improvement from Phenotyping Roots: Highlights Reveal Expanding Opportunities.

Saoirse R Tracy1, Kerstin A Nagel2, Johannes A Postma2, Heike Fassbender2, Anton Wasson3, Michelle Watt4.   

Abstract

Root systems determine the water and nutrients for photosynthesis and harvested products, underpinning agricultural productivity. We highlight 11 programs that integrated root traits into germplasm for breeding, relying on phenotyping. Progress was successful but slow. Today's phenotyping technologies will speed up root trait improvement. They combine multiple new alleles in germplasm for target environments, in parallel. Roots and shoots are detected simultaneously and nondestructively, seed to seed measures are automated, and field and laboratory technologies are increasingly linked. Available simulation models can aid all phenotyping decisions. This century will see a shift from single root traits to rhizosphere selections that can be managed dynamically on farms and a shift to phenotype-based improvement to accommodate the dynamic complexity of whole crop systems. Crown
Copyright © 2019. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  agronomy; breeding; climate; combinatorial stresses; imaging; rhizosphere; root architecture; simulation model; soil; water

Year:  2019        PMID: 31806535     DOI: 10.1016/j.tplants.2019.10.015

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  28 in total

Review 1.  Species-independent analytical tools for next-generation agriculture.

Authors:  Tedrick Thomas Salim Lew; Rajani Sarojam; In-Cheol Jang; Bong Soo Park; Naweed I Naqvi; Min Hao Wong; Gajendra P Singh; Rajeev J Ram; Oded Shoseyov; Kazuki Saito; Nam-Hai Chua; Michael S Strano
Journal:  Nat Plants       Date:  2020-11-30       Impact factor: 15.793

Review 2.  Capturing crop adaptation to abiotic stress using image-based technologies.

Authors:  Nadia Al-Tamimi; Patrick Langan; Villő Bernád; Jason Walsh; Eleni Mangina; Sónia Negrão
Journal:  Open Biol       Date:  2022-06-22       Impact factor: 7.124

3.  Development of a novel and rapid phenotype-based screening method to assess rice seedling growth.

Authors:  Lena Vlaminck; Chananchida Sang-Aram; Deborah Botterman; Christine Jewel C Uy; Mary Kay Harper; Dirk Inzé; Godelieve Gheysen; Stephen Depuydt
Journal:  Plant Methods       Date:  2020-10-15       Impact factor: 4.993

Review 4.  Novel technologies for emission reduction complement conservation agriculture to achieve negative emissions from row-crop production.

Authors:  Daniel L Northrup; Bruno Basso; Michael Q Wang; Cristine L S Morgan; Philip N Benfey
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-13       Impact factor: 11.205

5.  Reproductive resilience but not root architecture underpins yield improvement under drought in maize.

Authors:  Carlos Messina; Dan McDonald; Hanna Poffenbarger; Randy Clark; Andrea Salinas; Yinan Fang; Carla Gho; Tom Tang; Geoff Graham; Graeme L Hammer; Mark Cooper
Journal:  J Exp Bot       Date:  2021-07-10       Impact factor: 6.992

Review 6.  Wheat root systems as a breeding target for climate resilience.

Authors:  Eric S Ober; Samir Alahmad; James Cockram; Cristian Forestan; Lee T Hickey; Josefine Kant; Marco Maccaferri; Emily Marr; Matthew Milner; Francisco Pinto; Charlotte Rambla; Matthew Reynolds; Silvio Salvi; Giuseppe Sciara; Rod J Snowdon; Pauline Thomelin; Roberto Tuberosa; Cristobal Uauy; Kai P Voss-Fels; Emma Wallington; Michelle Watt
Journal:  Theor Appl Genet       Date:  2021-04-26       Impact factor: 5.699

Review 7.  Root Growth Adaptation to Climate Change in Crops.

Authors:  J Calleja-Cabrera; M Boter; L Oñate-Sánchez; M Pernas
Journal:  Front Plant Sci       Date:  2020-05-08       Impact factor: 5.753

8.  A toolkit to rapidly modify root systems through single plant selection.

Authors:  Charlotte Rambla; Sarah Van Der Meer; Kai P Voss-Fels; Manar Makhoul; Christian Obermeier; Rod Snowdon; Eric S Ober; Michelle Watt; Samir Alahmad; Lee T Hickey
Journal:  Plant Methods       Date:  2022-01-10       Impact factor: 4.993

9.  ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture.

Authors:  Nicolás Gaggion; Federico Ariel; Vladimir Daric; Éric Lambert; Simon Legendre; Thomas Roulé; Alejandra Camoirano; Diego H Milone; Martin Crespi; Thomas Blein; Enzo Ferrante
Journal:  Gigascience       Date:  2021-07-20       Impact factor: 6.524

10.  Crop yield prediction integrating genotype and weather variables using deep learning.

Authors:  Johnathon Shook; Tryambak Gangopadhyay; Linjiang Wu; Baskar Ganapathysubramanian; Soumik Sarkar; Asheesh K Singh
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

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