Abstract
In wheat, temperature affects the timing and intensity of stem elongation. Genetic variation for this process is therefore important for adaptation. This study investigates the genetic response to temperature fluctuations during stem elongation and its relationship to phenology and height. Canopy height of 315 wheat genotypes (GABI wheat panel) was scanned twice weekly in the field phenotyping platform (FIP) of ETH Zurich using a LIDAR. Temperature response was modelled using linear regressions between stem elongation and mean temperature in each measurement interval. This led to a temperature-responsive (slope) and a temperature-irresponsive (intercept) component. The temperature response was highly heritable (H2=0.81) and positively related to a later start and end of stem elongation as well as final height. Genome-wide association mapping revealed three temperature-responsive and four temperature-irresponsive quantitative trait loci (QTLs). Furthermore, putative candidate genes for temperature-responsive QTLs were frequently related to the flowering pathway in Arabidopsis thaliana, whereas temperature-irresponsive QTLs corresponded to growth and reduced height genes. In combination with Rht and Ppd alleles, these loci, together with the loci for the timing of stem elongation, accounted for 71% of the variability in height. This demonstrates how high-throughput field phenotyping combined with environmental covariates can contribute to a smarter selection of climate-resilient crops.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 9
Claim · model-written summary
Wheat stem elongation temperature response was highly heritable.
- Taxon
- wheat
Triticum aestivumt0 - Outcome
- temperature responsee0
- Value
- H2=0.81e0
- Qualifier
- highly heritablee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The temperature response was highly heritable (H2=0.81)”
t0“wheat”
Claim · model-written summary
Greater wheat temperature response was associated with later onset and end of stem elongation.
- Taxon
- wheatTriticum aestivumt0
- Organ / stage
- stem elongatione0
- Outcome
- start and end of stem elongatione0
- Direction
- latere0
- Qualifier
- temperature responsee1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“positively related to a later start and end of stem elongation”
e1“The temperature response was highly heritable”
t0“wheat”
Claim · model-written summary
Greater wheat temperature response was associated with greater final height.
- Taxon
- wheatTriticum aestivumt0
- Organ / stage
- stem elongatione0
- Outcome
- final heighte0
- Direction
- positively relatede0
- Qualifier
- temperature responsee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The temperature response was highly heritable (H2=0.81) and positively related to a later start and end of stem elongation as well as final height.”
t0“wheat”
Claim · model-written summary
Genome-wide association mapping found three temperature-responsive QTLs in wheat.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- temperature-responsive and four temperature-irresponsive quantitative trait loci (QTLs)e0
- Value
- threee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Genome-wide association mapping revealed three temperature-responsive and four temperature-irresponsive quantitative trait loci (QTLs).”
t0“wheat”
Claim · model-written summary
Genome-wide association mapping found four temperature-irresponsive QTLs in wheat.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- temperature-irresponsive quantitative trait loci (QTLs)e0
- Value
- foure0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Genome-wide association mapping revealed three temperature-responsive and four temperature-irresponsive quantitative trait loci (QTLs).”
t0“wheat”
Claim · model-written summary
Putative genes for temperature-responsive wheat QTLs were often related to the Arabidopsis flowering pathway.
- Taxon
- wheatTriticum aestivumt0
- Gene
- putative candidate genes for temperature-responsive QTLse0
- Outcome
- flowering pathwaye0
- Qualifier
- frequently relatede0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“putative candidate genes for temperature-responsive QTLs were frequently related to the flowering pathway in Arabidopsis thaliana”
t0“wheat”
Claim · model-written summary
Temperature-irresponsive wheat QTLs corresponded to growth and reduced-height genes.
- Taxon
- wheatTriticum aestivumt0
- Gene
- temperature-irresponsive QTLse0
- Outcome
- growth and reduced height genese0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“temperature-irresponsive QTLs corresponded to growth and reduced height genes”
t0“wheat”
Claim · model-written summary
These loci, Rht and Ppd alleles, and stem elongation timing loci accounted for 71% of wheat height variation.
- Taxon
- wheatTriticum aestivumt0
- Gene
- Rht and Ppd allelese0
- Outcome
- variability in heighte0
- Value
- 71%e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“In combination with Rht and Ppd alleles, these loci, together with the loci for the timing of stem elongation, accounted for 71% of the variability in height.”
t0“wheat”
Claim · model-written summary
The authors conclude that field phenotyping with environmental covariates can aid selection of climate-resilient crops.
Verbatim
e0“high-throughput field phenotyping combined with environmental covariates can contribute to a smarter selection of climate-resilient crops.”