Euphytica

, 214:27 | Cite as

Capturing genetic variability and selection of traits for heat tolerance in a chickpea recombinant inbred line (RIL) population under field conditions

  • Pronob J. Paul
  • Srinivasan Samineni
  • Sobhan B. Sajja
  • Abhishek Rathore
  • Roma R. Das
  • Sushil K. Chaturvedi
  • G. R. Lavanya
  • Rajeev K. Varshney
  • Pooran M. Gaur
Article
  • 65 Downloads

Abstract

Chickpea is the most important pulse crop globally after dry beans. Climate change and increased cropping intensity are forcing chickpea cultivation to relatively higher temperature environments. To assess the genetic variability and identify heat responsive traits, a set of 296 F8–9 recombinant inbred lines (RILs) of the cross ICC 4567 (heat sensitive) × ICC 15614 (heat tolerant) was evaluated under field conditions at ICRISAT, Patancheru, India. The experiment was conducted in an alpha lattice design with three replications during the summer seasons of 2013 and 2014 (heat stress environments, average temperature 35 °C and above), and post-rainy season of 2013 (non-stress environment, max. temperature below 30 °C). A two-fold variation for number of filled pods (FPod), total number of seeds (TS), harvest index (HI), percent pod setting (%PodSet) and grain yield (GY) was observed in the RILs under stress environments compared to non-stress environment. A yield penalty ranging from 22.26% (summer 2013) to 33.30% (summer 2014) was recorded in stress environments. Seed mass measured as 100-seed weight (HSW) was the least affected (6 and 7% reduction) trait, while %PodSet was the most affected (45.86 and 44.31% reduction) trait by high temperatures. Mixed model analysis of variance revealed a high genotypic coefficient of variation (GCV) (23.29–30.22%), phenotypic coefficient of variation (PCV) (25.69–32.44%) along with high heritability (80.89–86.89%) for FPod, TS, %PodSet and GY across the heat stress environments. Correlation studies (r = 0.61–0.97) and principal component analysis (PCA) revealed a strong positive association among the traits GY, FPod, VS and %PodSet under stress environments. Path analysis results showed that TS was the major direct and FPod was the major indirect contributors to GY under heat stress environments. Therefore, the traits that are good indicators of high grain yield under heat stress can be used in indirect selection for developing heat tolerant chickpea cultivars. Moreover, the presence of large genetic variation for heat tolerance in the population may provide an opportunity to use the RILs in future-heat tolerance breeding programme in chickpea.

Keywords

Heat tolerance Chickpea RIL Genetic variability Trait selection 

Abbreviations

%PodSet

Pod setting percentage

ANOVA

Analysis of variance

BM

Biomass

BLUP

Best linear unbiased prediction

DF50

Days to 50% flowering

FPod

Number of filled pods per plot

G × E

Genotype × Environment

GCV

Genotypic coefficient of Variation

GY

Grain yield

HI

Harvest index

HSE

Heat stress environment

HSW

100-seed weight

ICRISAT

International crops research institute for the semi-arid tropics

NSE

Non-stress environment

PCV

Phenotypic coefficient of variation

ReML

Residual maximum likelihood

RIL

Recombinant inbred line

TS

Total number of seeds per plot

VS

Visual scoring

Notes

Acknowledgements

National Food Security Mission (NFSM), Govt. of India; and Tropical Legumes II (TL II) project of Bill and Melinda Gates Foundation (BMGF) for financial support and Department of Science and Technology (DST), Govt. of India, for a fellowship to PJP.

Compliance with ethical standard

Conflict of interest

The authors declare no conflict of interest.

Supplementary material

10681_2018_2112_MOESM1_ESM.docx (24 kb)
Supplementary material 1 (DOCX 24 kb)
10681_2018_2112_MOESM2_ESM.docx (16 kb)
Supplementary material 2 (DOCX 15 kb)
10681_2018_2112_MOESM3_ESM.docx (15 kb)
Supplementary material 3 (DOCX 14 kb)

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Pronob J. Paul
    • 1
    • 2
  • Srinivasan Samineni
    • 1
  • Sobhan B. Sajja
    • 1
  • Abhishek Rathore
    • 1
  • Roma R. Das
    • 1
  • Sushil K. Chaturvedi
    • 3
  • G. R. Lavanya
    • 2
  • Rajeev K. Varshney
    • 1
  • Pooran M. Gaur
    • 1
    • 4
  1. 1.International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)HyderabadIndia
  2. 2.Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS)AllahabadIndia
  3. 3.ICAR-Indian Institute of Pulses Research (ICAR-IIPR)KanpurIndia
  4. 4.The UWA Institute of AgricultureUniversity of Western AustraliaPerthAustralia

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