Journal
G3-GENES GENOMES GENETICS
Volume 6, Issue 4, Pages 865-879Publisher
OXFORD UNIV PRESS INC
DOI: 10.1534/g3.115.023515
Keywords
field-based HTPP; stress response; canopy temperature; NDVI; QTL
Categories
Funding
- Cotton Incorporated Fellowship
- Core Project Funds
- Cornell University
- United States Department of Agriculture-Agricultural Research Service (USDA-ARS)
- National Science Foundation [IOS1238187]
- Natural Environment Research Council [ceh010010] Funding Source: researchfish
- Division Of Integrative Organismal Systems
- Direct For Biological Sciences [1238187] Funding Source: National Science Foundation
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The application of high-throughput plant phenotyping (HTPP) to continuously study plant populations under relevant growing conditions creates the possibility to more efficiently dissect the genetic basis of dynamic adaptive traits. Toward this end, we employed a field-based HTPP system that deployed sets of sensors to simultaneously measure canopy temperature, reflectance, and height on a cotton (Gossypium hirsutum L.) recombinant inbred line mapping population. The evaluation trials were conducted under well-watered and water-limited conditions in a replicated field experiment at a hot, arid location in central Arizona, with trait measurements taken at different times on multiple days across 2010-2012. Canopy temperature, normalized difference vegetation index (NDVI), height, and leaf area index (LAI) displayed moderate-to-high broad-sense heritabilities, as well as varied interactions among genotypes with water regime and time of day. Distinct temporal patterns of quantitative trait loci (QTL) expression were mostly observed for canopy temperature and NDVI, and varied across plant developmental stages. In addition, the strength of correlation between HTPP canopy traits and agronomic traits, such as lint yield, displayed a time-dependent relationship. We also found that the genomic position of some QTL controlling HTPP canopy traits were shared with those of QTL identified for agronomic and physiological traits. This work demonstrates the novel use of a field-based HTPP system to study the genetic basis of stress-adaptive traits in cotton, and these results have the potential to facilitate the development of stress-resilient cotton cultivars.
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