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

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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, Ana Elizabete et al.
In: G3: Genes, Genomes, Genetics, Vol. 6, No. 4, 01.04.2016, p. 865-879.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Pauli, D, Andrade-Sanchez, P, Carmo-Silva, AE, Gazave, E, French, A, Heun, J, Hunsaker, D, Lipka, A, Setter, T, Strand, R, Thorp, K, Wang, S, White, J & Gore, M 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

APA

Pauli, D., Andrade-Sanchez, P., Carmo-Silva, A. E., Gazave, E., French, A., Heun, J., Hunsaker, D., Lipka, A., Setter, T., Strand, R., Thorp, K., Wang, S., White, J., & Gore, M. (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, 6(4), 865-879. https://doi.org/10.1534/g3.115.023515

Vancouver

Pauli D, Andrade-Sanchez P, Carmo-Silva AE, Gazave E, French A, Heun J et al. 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. 2016 Apr 1;6(4):865-879. Epub 2016 Jan 27. doi: 10.1534/g3.115.023515

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Bibtex

@article{f81ad2fed65a45e28c235ca14db57fb3,
title = "Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton",
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. Towards 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 three years. 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 the more dynamic HTPP canopy traits, canopy temperature and NDVI, and varied across plant developmental stages. In addition, the strength of correlation between HTPP canopy and agronomic traits such as lint yield displayed a time-dependent relationship. We also found that the position of some QTL controlling HTPP canopy traits were shared with 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.",
keywords = "NDVI, QTL, canopy temperature, field-based HTPP, stress response",
author = "Duke Pauli and Pedro Andrade-Sanchez and Carmo-Silva, {Ana Elizabete} and Elodie Gazave and Andrew French and John Heun and Douglas Hunsaker and Alexander Lipka and Tim Setter and Robert Strand and Kelly Thorp and Sam Wang and Jeffrey White and Michael Gore",
year = "2016",
month = apr,
day = "1",
doi = "10.1534/g3.115.023515",
language = "English",
volume = "6",
pages = "865--879",
journal = "G3: Genes, Genomes, Genetics",
publisher = "Genetics Society of America",
number = "4",

}

RIS

TY - JOUR

T1 - Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton

AU - Pauli, Duke

AU - Andrade-Sanchez, Pedro

AU - Carmo-Silva, Ana Elizabete

AU - Gazave, Elodie

AU - French, Andrew

AU - Heun, John

AU - Hunsaker, Douglas

AU - Lipka, Alexander

AU - Setter, Tim

AU - Strand, Robert

AU - Thorp, Kelly

AU - Wang, Sam

AU - White, Jeffrey

AU - Gore, Michael

PY - 2016/4/1

Y1 - 2016/4/1

N2 - 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. Towards 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 three years. 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 the more dynamic HTPP canopy traits, canopy temperature and NDVI, and varied across plant developmental stages. In addition, the strength of correlation between HTPP canopy and agronomic traits such as lint yield displayed a time-dependent relationship. We also found that the position of some QTL controlling HTPP canopy traits were shared with 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.

AB - 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. Towards 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 three years. 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 the more dynamic HTPP canopy traits, canopy temperature and NDVI, and varied across plant developmental stages. In addition, the strength of correlation between HTPP canopy and agronomic traits such as lint yield displayed a time-dependent relationship. We also found that the position of some QTL controlling HTPP canopy traits were shared with 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.

KW - NDVI

KW - QTL

KW - canopy temperature

KW - field-based HTPP

KW - stress response

U2 - 10.1534/g3.115.023515

DO - 10.1534/g3.115.023515

M3 - Journal article

VL - 6

SP - 865

EP - 879

JO - G3: Genes, Genomes, Genetics

JF - G3: Genes, Genomes, Genetics

IS - 4

ER -