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Comparing the potential of indices and multivariate statistical techniques to select drought tolerant genotypes in barley (Hordeum vulgare L.)

  • Ecology & Biogeography - Original Article
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Abstract

A multi-trial research was performed to compare some multivariate statistical methods and various stress tolerance indices with the aim of introducing an optimal method for selecting drought-tolerant genotypes of barley. Ten diverse varieties of barley were assayed during four cropping years under irrigated and rain-fed conditions. Drought tolerance and susceptibility indices were calculated. These indices included the stress susceptibility index, mean productivity, tolerance, stress tolerance index, geometric mean productivity, harmonic average productivity, yield (YI), yield stability and linear regression coefficient (b). The studied varieties showed significant differences (p ≤ 0.01) in terms of grain yield and its components. Multivariate statistical techniques including discriminant function analysis and factors analysis along with stress tolerance score (STS) as a function of all conventional indices were applied in order to select high-yield and drought-tolerant varieties. Based on the results of discriminant function analysis, factor analysis and STS, the ‘Kavir’ variety was more tolerant to drought stress and generated the highest yield, compared to other varieties during each year of the four cropping years. The similarity of obtained results from the various methods revealed that STS index due to easier calculation and more accurate than other statistical analyses and indices can be considered as an integrated criterion to identify drought-tolerant genotypes in barley and a broad spectrum of grain crops over all the world.

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Abbreviations

BIO:

Biomass

HGW:

100-Grain weight

SW:

Spike weight

GNS:

Grain number per spike

PH:

Plant height

AL:

Awn length

DF:

Days to flowering

DR:

Days to repining

GFP:

Grain filling period

SSI:

Stress susceptibility index

MP:

Mean productivity

TOL:

Tolerance

STI:

Stress tolerance index

GMP:

Geometric mean productivity

HARM:

Harmonic average productivity

YI:

Yield

YSI:

Yield stability

b :

Linear regression coefficient

FA1:

First factor

FA2:

Second factor

STS:

Stress tolerance score equation

DFA:

Discriminant function analysis

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Acknowledgements

We thank Dr. A. Rokhzadi and Chia Parang for editing the research language.

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Authors and Affiliations

  1. Department of Agronomy and Plant Breeding, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran

    Ezzat Karami

  2. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Asgar Sartip

  3. Young Researchers and Elite Club, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran

    Aram Arshadi

  4. Department of Agriculture, Firoozabad Branch, Islamic Azad University, Firoozabad, Iran

    Mahdi Zare

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  1. Ezzat Karami
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Contributions

All authors contributed to the study conception and design. Material preparation and methodology, data collection and analysis were performed by EK, AA and AS, respectively. The first draft of the manuscript was written by AA, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Ezzat Karami.

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Karami, E., Sartip, A., Arshadi, A. et al. Comparing the potential of indices and multivariate statistical techniques to select drought tolerant genotypes in barley (Hordeum vulgare L.). Braz. J. Bot 44, 767–777 (2021). https://doi.org/10.1007/s40415-021-00740-w

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