Cseri, András and Sass, László and Törjék, Ottó and Vass, Imre and Dudits, Dénes and Pauk, János (2013) Monitoring drought responses of barley genotypes with semi-robotic phenotyping platform and association analysis between recorded traits and allelic variants of some stress genes. AUSTRALIAN JOURNAL OF CROP SCIENCE, 7 (10). pp. 1560-1570. ISSN 1835-2693
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Abstract
Genetic improvement of complex traits such as drought adaptation can be advanced by the combination of genomic and phenomic approaches. Semi-robotic phenotyping platform was used for computer-controlled watering, digital and thermal imaging of barley plants grown in greenhouse. The tested barley variants showed 0–76% reduction in green pixel-based shoot surface area in soil with 20% water content, compared to well-watered plants grown in soil with 60% water content. The barley HvA1 gene encoding the group 3 LEA (Late Embryogenesis Abundant) protein exhibited four (A–D) haplotypes as identified by the EcoTILLING and subsequent DNA sequencing. The green pixel mean value of genotypes with haplotype D was higher than the mean value of the remaining haplotypes, indicating a pivotal role of haplotype D in optimizing the green biomass production under drought condition. In water limitation, the canopy temperature of a highly sensitive genotype was 18.0°C, as opposed to 16.9°C of leaves from a tolerant genotype as measured by thermal imaging. Drought-induced changes in leaf temperature showed moderate correlation with the water use efficiency (r2 = 0.431). The haplotype/trait association analysis based on the t-test has revealed a positive effect of a haplotype B (SNPs:GCCCCTGC) in a gene encoding the barley fungal pathogen induced mRNA for pathogen-related protein (HvPPRPX), on harvest index, thousand grain weight, water use efficiency and grain yield. The presented pilot study established a basic methodology for the integrated use of phenotyping and haplotyping data in characterization of genotype-dependent drought responses in barley.
Item Type: | Article |
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Uncontrolled Keywords: | Digital imaging, leaf temperature, EcoTILLING, allelic, correlation. |
Subjects: | Q Science / természettudomány > QH Natural history / természetrajz > QH301 Biology / biológia Q Science / természettudomány > QK Botany / növénytan Q Science / természettudomány > QK Botany / növénytan > QK30 Plant ecology. Plant ethology / növényökológia |
SWORD Depositor: | MTMT SWORD |
Depositing User: | MTMT SWORD |
Date Deposited: | 15 Oct 2013 13:26 |
Last Modified: | 15 Oct 2013 13:26 |
URI: | http://real.mtak.hu/id/eprint/6892 |
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