Literature DB >> 29853283

Breeding to adapt agriculture to climate change: affordable phenotyping solutions.

José L Araus1, Shawn C Kefauver2.   

Abstract

Breeding is one of the central pillars of adaptation of crops to climate change. However, phenotyping is a key bottleneck that is limiting breeding efficiency. The awareness of phenotyping as a breeding limitation is not only sustained by the lack of adequate approaches, but also by the perception that phenotyping is an expensive activity. Phenotyping is not just dependent on the choice of appropriate traits and tools (e.g. sensors) but relies on how these tools are deployed on their carrying platforms, the speed and volume of data extraction and analysis (throughput), the handling of spatial variability and characterization of environmental conditions, and finally how all the information is integrated and processed. Affordable high throughput phenotyping aims to achieve reasonably priced solutions for all the components comprising the phenotyping pipeline. This mini-review will cover current and imminent solutions for all these components, from the increasing use of conventional digital RGB cameras, within the category of sensors, to open-access cloud-structured data processing and the use of smartphones. Emphasis will be placed on field phenotyping, which is really the main application for day-to-day phenotyping.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2018        PMID: 29853283     DOI: 10.1016/j.pbi.2018.05.003

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  16 in total

1.  Depth image conversion model based on CycleGAN for growing tomato truss identification.

Authors:  Dae-Hyun Jung; Cheoul Young Kim; Taek Sung Lee; Soo Hyun Park
Journal:  Plant Methods       Date:  2022-06-17       Impact factor: 5.827

Review 2.  Genebank Phenomics: A Strategic Approach to Enhance Value and Utilization of Crop Germplasm.

Authors:  Giao N Nguyen; Sally L Norton
Journal:  Plants (Basel)       Date:  2020-06-29

3.  A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth.

Authors:  Gytis Bernotas; Livia C T Scorza; Mark F Hansen; Ian J Hales; Karen J Halliday; Lyndon N Smith; Melvyn L Smith; Alistair J McCormick
Journal:  Gigascience       Date:  2019-05-01       Impact factor: 6.524

4.  Can High Throughput Phenotyping Help Food Security in the Mediterranean Area?

Authors:  Donatella Danzi; Nunzio Briglia; Angelo Petrozza; Stephan Summerer; Giovanni Povero; Alberto Stivaletta; Francesco Cellini; Domenico Pignone; Domenico De Paola; Michela Janni
Journal:  Front Plant Sci       Date:  2019-01-25       Impact factor: 5.753

5.  A Robust Automated Image-Based Phenotyping Method for Rapid Vegetative Screening of Wheat Germplasm for Nitrogen Use Efficiency.

Authors:  Giao N Nguyen; Pankaj Maharjan; Lance Maphosa; Jignesh Vakani; Emily Thoday-Kennedy; Surya Kant
Journal:  Front Plant Sci       Date:  2019-11-05       Impact factor: 5.753

6.  Comparative Performance of High-Yielding European Wheat Cultivars Under Contrasting Mediterranean Conditions.

Authors:  Valter Jário de Lima; Adrian Gracia-Romero; Fatima Zahra Rezzouk; Maria Carmen Diez-Fraile; Ismael Araus-Gonzalez; Samuel Henrique Kamphorst; Antonio Teixeira do Amaral Júnior; Shawn C Kefauver; Nieves Aparicio; Jose Luis Araus
Journal:  Front Plant Sci       Date:  2021-06-29       Impact factor: 5.753

7.  Harnessing translational research in wheat for climate resilience.

Authors:  Matthew P Reynolds; Janet M Lewis; Karim Ammar; Bhoja R Basnet; Leonardo Crespo-Herrera; José Crossa; Kanwarpal S Dhugga; Susanne Dreisigacker; Philomin Juliana; Hannes Karwat; Masahiro Kishii; Margaret R Krause; Peter Langridge; Azam Lashkari; Suchismita Mondal; Thomas Payne; Diego Pequeno; Francisco Pinto; Carolina Sansaloni; Urs Schulthess; Ravi P Singh; Kai Sonder; Sivakumar Sukumaran; Wei Xiong; Hans J Braun
Journal:  J Exp Bot       Date:  2021-07-10       Impact factor: 6.992

8.  Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology.

Authors:  Giao N Nguyen; Sally L Norton; Garry M Rosewarne; Laura E James; Anthony T Slater
Journal:  PLoS One       Date:  2018-11-19       Impact factor: 3.240

9.  Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform.

Authors:  Danilo H Lyra; Nicolas Virlet; Pouria Sadeghi-Tehran; Kirsty L Hassall; Luzie U Wingen; Simon Orford; Simon Griffiths; Malcolm J Hawkesford; Gancho T Slavov
Journal:  J Exp Bot       Date:  2020-03-25       Impact factor: 6.992

Review 10.  An Integrated Molecular and Conventional Breeding Scheme for Enhancing Genetic Gain in Maize in Africa.

Authors:  Melaku Gedil; Abebe Menkir
Journal:  Front Plant Sci       Date:  2019-11-06       Impact factor: 5.753

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