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Phenotypic evaluation of genetic variability and selection of yield contributing traits in chickpea recombinant inbred line population under high temperature stress

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Abstract

Heat is a major abiotic stress that drastically reduces chickpea yield. This study aimed to identify heat-responsive traits to sustain crop productivity by screening a recombinant inbred line (RILs) population at two locations in India (Ludhiana and Faridkot). The RIL population was derived from an inter-specific cross between heat-tolerant genotype GPF 2 (C. arietinum L.) and heat sensitive accession ILWC 292 (C. reticulatum). The pooled analysis of variance showed highly significant differences for all the traits in RILs and most of the traits were significantly affected by heat stress at both locations. High values of genotypic coefficient of variation (19.52–38.53%), phenotypic coefficient of variation (20.29–39.85%), heritability (92.50–93.90%), and genetic advance as a percentage of mean (38.68–76.74%) have been observed for plant height, number of pods per plant, biomass, yield, and hundred seed weight across the heat stress environments. Association studies and principal component analysis showed a significant positive correlation of plant height, number of pods per plant, biomass, hundred seed weight, harvest index, relative leaf water content, and pollen viability with yield under both timely-sown and late-sown conditions. Path analysis revealed that biomass followed by harvest index was the major contributor to yield among the environments. Both step-wise and multiple regression analyses concluded that number of pods per plant, biomass and harvest index consistently showed high level of contribution to the total variation in yield under both timely-sown and late-sown conditions. Thus, the holistic approach of these analyses illustrated that the promising traits provide a framework for developing heat-tolerant cultivars in chickpea.

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Abbreviations

ANOVA:

Analysis of variance

BIO:

Biomass

DHF:

Days to 100% flowering

DFF:

Days to 50% flowering

DFI:

Days to flowering initiation

DG:

Days to germination

GAM:

Genetic advance as percent of mean

G × E:

Genotype × environment interaction

GCV:

Genotypic coefficient of variation

HI:

Harvest index

HSW:

Hundred seed weight

MAS:

Marker assisted selection

MPI:

Membrane permeability index

NPP:

Number of pods per plant

PCV:

Phenotypic coefficient of variation

PH:

Plant height

PV:

Pollen viability

PCA:

Principal component analysis

RILs:

Recombinant inbred lines

RLWC:

Relative leaf water content

YLD:

Yield

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Funding

The INSPIRE research grant provided to the AK by Department of Science and Technology (DST), New Delhi, India and research grant provided under the project ‘Incentivizing Research in Agriculture’ by Indian Council of Agricultural Research, New Delhi to SS for carrying out the research are highly acknowledged.

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Authors and Affiliations

  1. Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, 141004, India

    Ashutosh Kushwah, Dharminder Bhatia, Inderjit Singh, Shayla Bindra, Suruchi Vij & Sarvjeet Singh

  2. Regional Research Station, Punjab Agricultural University, Faridkot, India

    Gurpreet Singh

Authors
  1. Ashutosh Kushwah
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  2. Dharminder Bhatia
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  3. Gurpreet Singh
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  4. Inderjit Singh
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  5. Shayla Bindra
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  6. Suruchi Vij
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  7. Sarvjeet Singh
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Contributions

AK, GS, SS and IS designed and conducted the experiments. DB, AK, SB and SV performed the data analysis. AK, DB, SV and SS prepared and edited the final manuscript.

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Correspondence to Sarvjeet Singh.

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Kushwah, A., Bhatia, D., Singh, G. et al. Phenotypic evaluation of genetic variability and selection of yield contributing traits in chickpea recombinant inbred line population under high temperature stress. Physiol Mol Biol Plants 27, 747–767 (2021). https://doi.org/10.1007/s12298-021-00977-5

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