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Large genetic variation for heat tolerance in the reference collection of chickpea (Cicer arietinum L.) germplasm

Published online by Cambridge University Press:  05 January 2011

L. Krishnamurthy ,
P. M. Gaur ,
P. S. Basu ,
S. K. Chaturvedi ,
S. Tripathi ,
V. Vadez ,
A. Rathore ,
R. K. Varshney  and
C. L. L. Gowda
L. Krishnamurthy*
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India
P. M. Gaur
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India
P. S. Basu
Affiliation:
Indian Institute of Pulses Research (IIPR), Kanpur 208 024, India
S. K. Chaturvedi
Affiliation:
Indian Institute of Pulses Research (IIPR), Kanpur 208 024, India
S. Tripathi
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India
V. Vadez
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India
A. Rathore
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India
R. K. Varshney
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India
C. L. L. Gowda
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India
*
*Corresponding author. E-mail: [email protected]
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Abstract

Chickpea is the third most important pulse crop worldwide. Changes in cropping system that necessitate late planting, scope for expansion in rice fallows and the global warming are pushing chickpeas to relatively warmer growing environment. Such changes demand identification of varieties resilient to warmer temperature. Therefore, the reference collection of chickpea germplasm, defined based on molecular characterization of global composite collection, was screened for high temperature tolerance at two locations in India (Patancheru and Kanpur) by delayed sowing and synchronizing the reproductive phase of the crop with the occurrence of higher temperatures ( ≥ 35°C). A heat tolerance index (HTI) was calculated using a multiple regression approach where grain yield under heat stress is considered as a function of yield potential and time to 50% flowering. There were large and significant variations for HTI, phenology, yield and yield components at both the locations. There were highly significant genotypic effects and equally significant G × E interactions for all the traits studied. A cluster analysis of the HTI of the two locations yielded five cluster groups as stable tolerant (n = 18), tolerant only at Patancheru (n = 34), tolerant only at Kanpur (n = 23), moderately tolerant (n = 120) and stable sensitive (n = 82). The pod number per plant and the harvest index explained ≥ 60% of the variation in seed yield and ≥ 49% of HTI at Kanpur and ≥ 80% of the seed yield and ≥ 35% of HTI at Patancheru, indicating that partitioning as a consequence of poor pod set is the most affected trait under heat stress. A large number of heat-tolerant genotypes also happened to be drought tolerant.

Keywords

climate changeharvest indexheat tolerance indexhigh temperatureshoot biomass
Type
Research Article
Information
Plant Genetic Resources , Volume 9 , Issue 1 , April 2011 , pp. 59 - 69
Copyright
Copyright © NIAB 2011

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References

Bidinger, FR, Mahalakshmi, V and Rao, GDP (1987) Assessment of drought resistance in pearl millet [Pennisetum americanum (L.) Leeke]. II Estimation of genotype response to stress. Australian Journal of Agricultural Research 38: 49–59.CrossRefGoogle Scholar
Brockwell, J (1982) Inoculation methods for field experimenters and farmers. In: Vincent, JM (ed.) Nitrogen Fixation in Legumes. New York: Academic Press, pp. 211–221.Google Scholar
Canci, H and Toker, C (2009) Evaluation of yield criteria for drought and heat resistance in chickpea. Journal of Agronomy and Crop Science 195: 47–54.CrossRefGoogle Scholar
Desclaux, D and Roumet, P (1996) Impact of drought stress on the phenology of two soybean (Glycine max L. Merr.) cultivars. Field Crops Research 46: 61–70.CrossRefGoogle Scholar
Dua, RP (2001) Genotypic variations for low and high temperature tolerance in gram (Cicer arietinum). Indian Journal of Agricultural Sciences 71: 561–566.Google Scholar
FAOSTAT(2009) Food and Agriculture Organization of the United Nations 2002. FAO Production Year Book. Available at http://apps.fao.org. Rome: FAO.Google Scholar
Gaur, PM, Srinivasan, S, Gowda, CLL and Rao, BV (2007) Rapid generation advancement in chickpea. Journal of SAT Agricultural Research 3. Available at http://www.icrisat.org/journal/.Google Scholar
Gaur, PM, Kumar, J, Gowda, CLL, Pande, S, Siddique, KHM, Khan, TN, Warkentin, TD, Chaturvedi, SK, Than, AM and Ketema, D (2008) Breeding chickpea for early phenology: perspectives, progress and prospects. In: Kharkwal, MC (ed.) Food Legumes for Nutritional Security and Sustainable Agriculture. vol. 2. New Delhi: Indian Society of genetics and Plant Breeding, pp. 39–48.Google Scholar
Gowda, CLL, Parthasarathy Rao, P, Tripathy, S, Gaur, PM and Deshmukh, RB (2009) Regional shift in chickpea production in India. In: Ali, Masood and Kumar, Shiv (eds) Milestones in Food Legumes Research. Kanpur: Indian Institute of Pulses Research, pp. 21–35.Google Scholar
Harville, DA (1977) Maximum likelihood approaches to variance component estimation and to related problems. Journal of the American Statistical Association 72: 320–338.CrossRefGoogle Scholar
Kashiwagi, J, Krishnamurthy, L, Upadhyaya, HD and Gaur, PM (2008) Rapid screening technique for canopy temperature status and its relevance to drought tolerance improvement in chickpea. Journal of SAT Agricultural Research 6: 4.Google Scholar
Krishnamurthy, L, Johansen, C and Sethi, SC (1999) Investigation of factors determining genotypic differences in seed yield of nonirrigated and irrigated chickpea using a physiological model of yield determination. Journal of Agronomy and Crop Science 183: 9–17.CrossRefGoogle Scholar
Krishnamurthy, L, Kashiwagi, J, Gaur, PM, Upadhyaya, HD and Vadez, V (2010) Sources of tolerance to terminal drought in the chickpea (Cicer arietinum L.) minicore germplasm. Field Crops Research 119: 322–330.CrossRefGoogle Scholar
Kumar, S (2006) Climate change and crop breeding objectives in the twenty first century. Current Science 90: 1053–1054.Google Scholar
Malhotra, RS and Saxena, MC (1993) Screening for cold and heat tolerance in cool season food legumes. In: Singh, KB and Saxena, MC (eds) Breeding for Stress Tolerance in Cool Season Food Legumes. Chichester: John Wiley & Sons, pp. 227–244.Google Scholar
Payne, RW (ed.) (2002) The Guide to GenStat® Release 6.1. Part: 2 Statistics. Oxford: VSN International Ltd.Google Scholar
Reddy, PV, Reddy, KB and Rao, GNSN (1989) Influence of soil moisture content on pod zone temperatures in groundnut. International Arachis Newsletter 6: 9–10.Google Scholar
Saxena, NP (1987) Screening for adaptation to drought: case studies with chickpea and pigeonpea. In: Saxena, NP and Johansen, C (eds) Adaptation of Chickpea and Pigeonpea to Abiotic Stresses. Proceedings of Consultant's Workshop. Patancheru, Andhra Pradesh, India. Patancheru: International Crops Research Institute for the Semi-Arid Tropics, pp. 63–76.Google Scholar
Saxena, NP (2003) Management of drought in chickpea – a holistic approach. In: Saxena, NP (ed.) Management of Agricultural Drought. Agronomic and Genetic Options. New Delhi: Oxford & IBH Publishing Co. Pvt. Ltd, pp. 103–122.Google Scholar
Snedecor, GW and Cochran, WG (1989) Statistical Methods. 8th edn. Ames, IA: Iowa State University Press.Google Scholar
Srinivasan, A, Takeda, H and Senboku, T (1996) Heat tolerance in food legumes as evaluated by cell membrane thermostability and chlorophyll fluorescence techniques. Euphytica 88: 35–45.CrossRefGoogle Scholar
Subbarao, GV, Kumar Rao, JVDK, Kumar, J, Johansen, C, Deb, UK, Ahmed, I, Krishna Rao, MV, Venkataratnam, L, Hebbar, KR, Sai, MVSR and Harris, D (2001) Spatial Distribution and Quantification of Rice-fallows in South Asia – Potential for Legumes. Patancheru: ICRISAT.Google Scholar
Summerfield, RJ, Hadley, P, Roberts, EH, Minchin, FR and Rawsthorne, S (1984) Sensitivities of chickpeas (Cicer arietinum L.) to hot temperatures during the reproductive period. Experimental Agriculture 20: 77–93.CrossRefGoogle Scholar
Upadhyaya, HD, Dwivedi, SL, Baum, M, Varshney, RK, Udupa, SM, Gowda, CLL, Hoisington, DA and Singh, S (2008) Genetic structure, diversity, and allelic richness in composite collection and reference set in chickpea (Cicer arietinum L.). BMC Plant Biology 8: 106.CrossRefGoogle ScholarPubMed
Vadez, V, Krishnamurthy, L, Serraj, R, Gaur, PM, Upadhyaya, HD, Hoisington, DA, Varshney, RK, Turner, NC and Siddique, KHM (2007) Large variation in salinity tolerance in chickpea is explained by differences in sensitivity at the reproductive stage. Field Crops Research 104: 123–129.CrossRefGoogle Scholar
Wang, J, Gan, YT, Clarke, F and McDonald, CL (2006) Response of chickpea yield to high temperature stress during reproductive development. Crop Science 46: 2171–2178.CrossRefGoogle Scholar