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

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.

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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

References

  1. Alam MA, Seetharam K, Zaidi PH, Dinesh A, Vinayan MT, Nath UK (2017) Dissecting heat stress tolerance in tropical maize (Zea mays L.). F Crop Res 204:110–119

    Article  Google Scholar 

  2. Basu PS, Ali M, Chaturvedi SK (2009) Terminal heat stress adversely affects chickpea productivity in northern India—Strategies to improve thermo tolerance in the crop under climate change, In: ISPRS Arch., XXXVIII-8/W3 Workshop Proceedings Impact of Climate Change on Agriculture, pp 23–25

  3. Battisti DS, Naylor RL (2009) Historical warnings of future food insecurity with unprecedented seasonal heat. Science 323(5911):240–244

    CAS  Article  PubMed  Google Scholar 

  4. Berger JD, Milroy SP, Turner NC, Siddique KH, Imtiaz M, Malhotra R (2011) Chickpea evolution has selected for contrasting phenological mechanisms among different habitats. Euphytica 180(1):1–15

    Article  Google Scholar 

  5. Canci H, Toker C (2009) Evaluation of yield criteria for drought and heat resistance in chickpea (Cicer arietinum L.). J Agron Crop Sci 195(1):47–54

    Article  Google Scholar 

  6. Devasirvatham V (2012) The basis of chickpea heat tolerance under semi-arid environments. The University of Sydney, Camperdown

    Google Scholar 

  7. Devasirvatham V, Gaur PM, Mallikarjuna N, Raju TN, Trethowan RM, Tan DK (2013) Reproductive biology of chickpea response to heat stress in the field is associated with the performance in controlled environments. F Crop Res 142:9–19

    Article  Google Scholar 

  8. Falconer DS, Mackay TFC, Frankham R (1996) Introduction to quantitative genetics. Trends Genet 12(7):280

    Article  Google Scholar 

  9. Food and Agriculture Organization (FAO) (2014): Food and Agricultural Organization of the United Nation, FAO Statistical Database. In http://faostat3.fao.org/download/Q/QC/E

  10. Gan Y, Angadi SV, Cutforth H, Potts D, Angadi VV, McDonald CL (2004) Canola and mustard response to short periods of temperature and water stress at different developmental stages. Can J Plant Sci 84(3):697–704

    Article  Google Scholar 

  11. Gaur PM, Srinivasan S, Gowda CLL, Rao BV (2007) Rapid generation advancement in chickpea. J SAT Agric Res 3(1):1–3

    Google Scholar 

  12. Gaur PM, Chaturvedi SK, Tripathi S, Gowda CLL, Krishnamurthy L, Vadez V, Mallikarjuna N, Varshney RK (2010) Improving heat tolerance in chickpea to increase its resilience to climate change. In: Proceeding of the 5th International food legumes research conference and 7th European conference on grain legume, Antalya, pp 26–30

  13. Gaur PM, Jukanti AK, Samineni S, Chaturvedi SK, Basu PS, Babbar A, Jayalakshmi V, Nayyar H, Devasirvatham V, Mallikarjuna N, Krishnamurthy L (2014) Climate change and heat stress tolerance in chickpea. In: Tuteja N, Gill SS (eds) Climate change and plant abiotic stress tolerance. Wiley - VCH Verlag GmbH &Co, Weinheim, pp 837–856

    Google Scholar 

  14. Hassan M, Atta BM, Shah TM, Haq MA, Syed H, Alam SS (2005) Correlation and path coefficient studies in induced mutants of chickpea (Cicer arietinum L.). Pakistan J Bot 37(2):293

    Google Scholar 

  15. Hill J, Becker HC, Tigerstedt PM (2012) Quantitative and ecological aspects of plant breeding. Springer Science & Business Media, Berlin

    Google Scholar 

  16. Ibáñez I, Primack RB, Miller-Rushing AJ, Ellwood E, Higuchi H, Lee SD, Kobori H, Silander JA (2010) Forecasting phenology under global warming. Philos Trans R Soc Lond B Biol Sci 365(1555):3247–3260

    Article  PubMed  PubMed Central  Google Scholar 

  17. IPCC (2007) Climate change 2007: the physical science basis. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva

    Google Scholar 

  18. Jagadish SV, Craufurd PQ, Wheeler TR (2008) Phenotyping parents of mapping populations of rice for heat tolerance during anthesis. Crop Sci 48(3):1140–1146

    Article  Google Scholar 

  19. Krishnamurthy L, Gaur PM, Basu PS, Chaturvedi SK, Tripathi S, Vadez V, Rathore A, Varshney RK, Gowda CLL (2011) Large genetic variation for heat tolerance in the reference collection of chickpea (Cicer arietinum L.) germplasm. Plant Genet Resour 9(1):59–69

    Article  Google Scholar 

  20. Lobell DB, Gourdji SM (2012) The influence of climate change on global crop productivity. Plant Physiol 160(4):1686–1697

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. Malhotra RS, Saxena MC (1993) Screening for cold and heat tolerance in cool season food legumes. In: Singh KB, Saxena MC (eds) Breeding for stress tolerance in cool season food legumes. Wiley, Chichester, pp 227–244

    Google Scholar 

  22. Mallu TS, Nyende AB, Rao NG, Odeny DA, Mwangi SG (2015) Assessment of interrelationship among agronomic and yield characters of chickpea. Int J Agric Crop Sci 8(2):128–135

    CAS  Google Scholar 

  23. Paliwal R, Röder MS, Kumar U, Srivastava JP, Joshi AK (2012) QTL mapping of terminal heat tolerance in hexaploid wheat (T. aestivum L.). Theor Appl Genet 125(3):561–575

    Article  PubMed  Google Scholar 

  24. Pinto RS, Reynolds MP, Mathews KL, McIntyre CL, Olivares-Villegas JJ, Chapman SC (2010) Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects. Theor Appl Genet 121(6):1001–1021

    Article  PubMed  PubMed Central  Google Scholar 

  25. Sato S, Kamiyama M, Iwata T, Makita N, Furukawa H, Ikeda H (2006) Moderate increase of mean daily temperature adversely affects fruit set of Lycopersicon esculentum by disrupting specific physiological processes in male reproductive development. Ann Bot 97(5):731–738

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  26. Serraj R, Krishnamurthy L, Kashiwagi J, Kumar J, Chandra S, Crouch JH (2004) Variation in root traits of chickpea (Cicer arietinum L.) grown under terminal drought. F Crop Res 88(2):115–127

    Article  Google Scholar 

  27. Singh KB, Malhotra RS, Halila MH, Knights EJ, Verma MM (1994) Current status and future strategy in breeding chickpea for resistance to biotic and abiotic stresses. Euphytica 73(1–2):137–149

    Article  Google Scholar 

  28. Summerfield RJ, Hadley P, Roberts EH, Minchin FR, Rawsthorne S (1984) Sensitivity of chickpeas (Cicer arietinum) to hot temperatures during the reproductive period. Exp Agric 20(1):77–93

    Article  Google Scholar 

  29. Upadhyaya HD, Dronavalli N, Gowda CLL, Singh S (2011) Identification and evaluation of chickpea germplasm for tolerance to heat stress. Crop Sci 51(5):2079–2094

    Article  Google Scholar 

  30. Vadez V, Krishnamurthy L, Thudi M, Anuradha C, Colmer TD, Turner NC, Siddique KH, Gaur PM, Varshney RK (2012) Assessment of ICCV 2 × JG 62 chickpea progenies shows sensitivity of reproduction to salt stress and reveals QTL for seed yield and yield components. Mol Breed 30(1):9–21

    Article  Google Scholar 

  31. van Rheenen HA, Singh O, Saxena NP (1997) Using evaluation techniques for photoperiod and thermo-insensitivity in pulses improvement. Recent Advantages in Pulses Research. Indian Society of Pulses Research and Development, IIPR, Kanpur, India, pp 443–458

  32. Varshney RK, Thudi M, Nayak SN, Gaur PM, Kashiwagi J, Krishnamurthy L, Jaganathan D, Koppolu J, Bohra A, Tripathi S, Rathore A (2014) Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.). Theor Appl Genet 127(2):445–462

    CAS  Article  PubMed  Google Scholar 

  33. Wang J, Gan YT, Clarke F, McDonald CL (2006) Response of chickpea yield to high temperature stress during reproductive development. Crop Sci 46(5):2171–2178

    Article  Google Scholar 

Download references

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.

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Correspondence to Pooran M. Gaur.

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Paul, P.J., Samineni, S., Sajja, S.B. et al. Capturing genetic variability and selection of traits for heat tolerance in a chickpea recombinant inbred line (RIL) population under field conditions. Euphytica 214, 27 (2018). https://doi.org/10.1007/s10681-018-2112-8

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Keywords

  • Heat tolerance
  • Chickpea
  • RIL
  • Genetic variability
  • Trait selection