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High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms

OAR@ICRISAT

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Relation http://oar.icrisat.org/11602/
https://doi.org/10.1109/MGRS.2020.2998816
doi:10.1109/MGRS.2020.2998816
 
Title High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms
 
Creator Jin, X
Zarco-Tejada, P
Schmidhalter, U
Reynolds, M P
Hawkesford, M J
Varshney, R K
Yang, T
Nie, C
Li, Z
Ming, B
Xiao, Y
Xie, Y
Li, S
 
Subject Plant Breeding
Genetics and Genomics
Climate Change
Food Security
 
Description Crop yields need to be improved in a sustainable manner
to meet the expected worldwide increase in population
over the coming decades as well as the effects of anticipated
climate change. Recently, genomics-assisted breeding has
become a popular approach to food security; in this regard,
the crop breeding community must better link the relationships
between the phenotype and the genotype. While
high-throughput genotyping is feasible at a low cost, highthroughput
crop phenotyping methods and data analytical
capacities need to be improved.
High-throughput phenotyping offers a powerful way to
assess particular phenotypes in large-scale experiments,
using high-tech sensors, advanced robotics, and imageprocessing
systems to monitor and quantify plants in
breeding nurseries and field experiments at multiple scales.
In addition, new bioinformatics platforms are able to embrace
large-scale, multidimensional phenotypic datasets.
Through the combined analysis of phenotyping and genotyping
data, environmental responses and gene functions
can now be dissected at unprecedented resolution. This will aid in finding solutions to currently limited and incremental
improvements in crop yields.
 
Date 2020-07
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11602/1/paper115.pdf
Jin, X and Zarco-Tejada, P and Schmidhalter, U and Reynolds, M P and Hawkesford, M J and Varshney, R K and Yang, T and Nie, C and Li, Z and Ming, B and Xiao, Y and Xie, Y and Li, S (2020) High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms. IEEE Geoscience and Remote Sensing Magazine. pp. 1-33. ISSN 2473-2397