Literature DB >> 33057698

Temperature response of wheat affects final height and the timing of stem elongation under field conditions.

Lukas Kronenberg1, Steven Yates2, Martin P Boer3, Norbert Kirchgessner1, Achim Walter1, Andreas Hund1.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology.

Entities:  

Keywords:  Development; GWAS; LIDAR; field phenotyping; physiology; plant height; temperature response; wheat

Mesh:

Year:  2021        PMID: 33057698      PMCID: PMC7853599          DOI: 10.1093/jxb/eraa471

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  4 in total

Review 1.  Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review.

Authors:  Qinlin Xiao; Xiulin Bai; Chu Zhang; Yong He
Journal:  J Adv Res       Date:  2021-05-12       Impact factor: 10.479

Review 2.  Scaling up high-throughput phenotyping for abiotic stress selection in the field.

Authors:  Daniel T Smith; Andries B Potgieter; Scott C Chapman
Journal:  Theor Appl Genet       Date:  2021-06-02       Impact factor: 5.699

3.  Fine Mapping of qd1, a Dominant Gene that Regulates Stem Elongation in Bread Wheat.

Authors:  Yongdun Xie; Weiwei Zeng; Chaojie Wang; Daxing Xu; Huijun Guo; Hongchun Xiong; Hanshun Fang; Linshu Zhao; Jiayu Gu; Shirong Zhao; Yuping Ding; Luxiang Liu
Journal:  Front Genet       Date:  2021-11-29       Impact factor: 4.599

4.  A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data.

Authors:  Diana M Pérez-Valencia; María Xosé Rodríguez-Álvarez; Martin P Boer; Lukas Kronenberg; Andreas Hund; Llorenç Cabrera-Bosquet; Emilie J Millet; Fred A van Eeuwijk
Journal:  Sci Rep       Date:  2022-02-24       Impact factor: 4.379

  4 in total

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