Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton

Duke Pauli, Pedro Andrade Sanchez, A. Elizabete Carmo-Silva, Elodie Gazave, Andrew N. French, John Heun, Douglas J. Hunsaker, Alexander E. Lipka, Tim L. Setter, Robert J. Strand, Kelly R. Thorp, Sam Wang, Jeffrey W. White, Michael A. Gore

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)865-879
Number of pages15
JournalG3: Genes, Genomes, Genetics
Volume6
Issue number4
DOIs
StatePublished - 2016

Fingerprint

Quantitative Trait Loci
Temperature
Gossypium
Water
Population
Genotype

Keywords

  • Canopy temperature
  • Field-based HTPP
  • NDVI
  • QTL
  • Stress response

ASJC Scopus subject areas

  • Genetics
  • Molecular Biology
  • Genetics(clinical)

Cite this

Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton. / Pauli, Duke; Andrade Sanchez, Pedro; Carmo-Silva, A. Elizabete; Gazave, Elodie; French, Andrew N.; Heun, John; Hunsaker, Douglas J.; Lipka, Alexander E.; Setter, Tim L.; Strand, Robert J.; Thorp, Kelly R.; Wang, Sam; White, Jeffrey W.; Gore, Michael A.

In: G3: Genes, Genomes, Genetics, Vol. 6, No. 4, 2016, p. 865-879.

Research output: Contribution to journalArticle

Pauli, D, Andrade Sanchez, P, Carmo-Silva, AE, Gazave, E, French, AN, Heun, J, Hunsaker, DJ, Lipka, AE, Setter, TL, Strand, RJ, Thorp, KR, Wang, S, White, JW & Gore, MA 2016, 'Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton', G3: Genes, Genomes, Genetics, vol. 6, no. 4, pp. 865-879. https://doi.org/10.1534/g3.115.023515
Pauli, Duke ; Andrade Sanchez, Pedro ; Carmo-Silva, A. Elizabete ; Gazave, Elodie ; French, Andrew N. ; Heun, John ; Hunsaker, Douglas J. ; Lipka, Alexander E. ; Setter, Tim L. ; Strand, Robert J. ; Thorp, Kelly R. ; Wang, Sam ; White, Jeffrey W. ; Gore, Michael A. / Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton. In: G3: Genes, Genomes, Genetics. 2016 ; Vol. 6, No. 4. pp. 865-879.
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