Phenotyping drought tolerance and yield performance of barley using a combination of imaging methods

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F23%3A00571782" target="_blank" >RIV/86652079:_____/23:00571782 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43210/23:43923266 RIV/60646594:_____/23:N0000003

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0098847223001090?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0098847223001090?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.envexpbot.2023.105314" target="_blank" >10.1016/j.envexpbot.2023.105314</a>

Result language

angličtina

Original language name

Phenotyping drought tolerance and yield performance of barley using a combination of imaging methods

Original language description

Drought resistance represents a complex of traits that are differently employed depending on drought type, severity and timing. Hence, a relatively comprehensive assessment of morphological and physiological pheno-typic response to drought is required. We evaluated the dynamic responses of six barley genotypes, representing a wide range of drought tolerance, to continuous drying and re-watering using non-invasively measured pa-rameters based on red-green-blue (RGB), thermal infrared and chlorophyll fluorescence imaging within an automated phenotyping platform. We identified three critical points in drought progress: i) 50% level of avail-able soil water, ii) wilting point, iii) full plant recovery after re-watering. However, the individual monitored parameters showed the potential to evaluate drought sensitivity at different points since the onset of drying. The correlation with relative yield response gradually increased for the side projected leaf area (SPA) and reached the maximum at the point of full recovery. The actual quantum yield of photosystem II (phi PSII) showed the highest correlation with a relative grain yield around wilting point. In contrast, the relative leaf temperature difference demonstrated a high correlation with yield response earlier, at 50% of available water. The highest correlations with the relative yield response were obtained for the colour RGB analysis at the wilting point and after recovery, particularly for khaki, beige, dark-green and olive-green colours. Multiple regression with parameters providing Pearson's correlation coefficient R > 0.5 slightly improved the estimation of relative yield response to drought but ensured significant improvement of absolute grain yield estimation under drought stress. This study shows that combining the phenotyping methods representing different morphological and physiological traits allows not only the assessment of drought tolerance (based on relative yield response to drought) which is crucial for selecting the genetic resources for the subsequent breeding process but also allows to test the yield performance of new genotypes under drought stress.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10611 - Plant sciences, botany

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Environmental and Experimental Botany

ISSN

0098-8472

e-ISSN

1873-7307

Volume of the periodical

209

Issue of the periodical within the volume

MAY

Country of publishing house

GB - UNITED KINGDOM

Number of pages

13

Pages from-to

105314

UT code for WoS article

000966712700001

EID of the result in the Scopus database

2-s2.0-85151019389