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High-throughput phenotyping in cotton: a review

Authors
  • PABUAYON, Irish Lorraine B.1
  • SUN, Yazhou1
  • GUO, Wenxuan1
  • RITCHIE, Glen L.1, 2
  • 1 Texas Tech Univ, Department of Plant and Soil Science, Lubbock, TX, 79409, USA , Lubbock (United States)
  • 2 Texas A&M AgriLife Research and Extension Center, 1102 East FM 1294, Lubbock, TX, 79403, USA , Lubbock (United States)
Type
Published Article
Journal
Journal of Cotton Research
Publisher
BioMed Central
Publication Date
Oct 29, 2019
Volume
2
Issue
1
Identifiers
DOI: 10.1186/s42397-019-0035-0
Source
Springer Nature
Keywords
License
Green

Abstract

Recent technological advances in cotton (Gossypium hirsutum L.) phenotyping have offered tools to improve the efficiency of data collection and analysis. High-throughput phenotyping (HTP) is a non-destructive and rapid approach of monitoring and measuring multiple phenotypic traits related to the growth, yield, and adaptation to biotic or abiotic stress. Researchers have conducted extensive experiments on HTP and developed techniques including spectral, fluorescence, thermal, and three-dimensional imaging to measure the morphological, physiological, and pathological resistance traits of cotton. In addition, ground-based and aerial-based platforms were also developed to aid in the implementation of these HTP systems. This review paper highlights the techniques and recent developments for HTP in cotton, reviews the potential applications according to morphological and physiological traits of cotton, and compares the advantages and limitations of these HTP systems when used in cotton cropping systems. Overall, the use of HTP has generated many opportunities to accurately and efficiently measure and analyze diverse traits of cotton. However, because of its relative novelty, HTP has some limitations that constrains the ability to take full advantage of what it can offer. These challenges need to be addressed to increase the accuracy and utility of HTP, which can be done by integrating analytical techniques for big data and continuous advances in imaging.

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