Unveilling heat-resilient chickpea (Cicer arietinum L.) lines under two mega chickpea growing regions in India using GGE biplot analysis
Main Article Content
Abstract
In the face of escalating uncertainties due to global climate change-induced heat stress, ensuring the stability of chickpea yields is
crucial for global food security. To select stable and heat stress-tolerant genotypes, 25 advanced chickpea breeding lines, including
three checks, were evaluated for various phenological, yield, and yield-related traits under diverse ecological field conditions. Under
normal sown conditions, IPC2021-71 (G13), ICC92944 (G21), and IPC2019-170 (G14) showed greater stability and desirability for yield.
Among these, IPC2021-71 outperformed in Kanpur, Punjab, and Bhopal based on the “which won where” criterion. Punjab and Bhopal
emerged as the most informative locations based on the GGE biplot “discrimination-and-representativeness” analysis. Under heat
stress conditions, stability analysis revealed that IPC2021-165 (G6), IPC2015-52 (G9), IPC2011-61 (G10), and ICC92944 (G21) were stable
performers. Additionally, the “which won where” criterion highlighted G6 as the best performer in Punjab and New Delhi under heat
stress conditions. Punjab and Delhi were identified as the most representative locations for heat stress.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Bishwas K.C., Poudel M.R. and Regmi, D. 2021. AMMI and GGE biplot analysis of yield of different elite wheat line under terminal heat stress and irrigated environments. Heliyon, 7(6).
Danakumara T., Kumar T., Kumar N, Patil B.S., Bharadwaj C., Patel U., Joshi N., Bindra S., Tripathi S., Varshney R.K., Chaturvedi S.K. 2023. A Multi-Model Based Stability Analysis Employing Multi-Environmental Trials (METs) Data for Discerning Heat Tolerance in Chickpea (Cicer arietinum L.) Landraces. Plants (Basel)., 12 :3691
Devasirvatham V., Gaur P., Mallikarjuna N., Raju T. N., Trethowan R. M., Tan D. K. Y. 2013. Reproductive biology of chickpea response to heat stress in the field is associated with the performance in controlled environments. Field Crops Res.,142:9–19.
Devi P., Jha U.C., Prakash V., Kumar S., Parida S. K., Paul P.J., Vara Prasad P.V., Sharma K.D., Siddique K.H.M., Nayyar H. 2022. Response of Physiological, Reproductive Function and Yield Traits in Cultivated Chickpea (Cicer arietinum L.) Under Heat Stress. Front. Plant Sci., 13: 880519.
Farshadfar E., Rashidi M., Jowkar M.M. and Zali, H. 2013. GGE Biplot analysis of genotype× environment interaction in chickpea genotypes. European J. Expt. Biol., 3:417-423.
Frutos E, Galindo M.P. and Leiva, V. 2014. An interactive biplot implementation in R for modeling genotype-by-environment interaction. Stoch. Environ. Res. Risk Assess. 28: 1629–41.
Gumede M.T., Gerrano A.S., Modi A.T. and Thungo, Z. 2022. Influence of genotype and environment on grain yield among cowpea (Vigna unguiculat a (L.) Walp) genotypes under dry land farming system. Acta Agriculturae Scandinavica, Section B—Soil Plant Sci., 72:709-719.
Gupta V., Mehta G., Kumar S., Ramadas S., Tiwari R., Singh G.P. and Sharma, P. 2023. AMMI and GGE biplot analysis of yield under terminal heat tolerance in wheat. Mol. Biol. Reps., 50:3459-3467.
Jha U.C., Chaturvedi S.K., Bohra A., Basu P.S., Khan M.S. and Debmalya B. 2014. Abiotic stresses, constraints and improvement strategies in chickpea. Plant Breed., 133: 163–78.
Jha U.C., Kole P.C., Singh N.P., Shil S. and Kumar, H. 2019. GGE bi-plot analysis for grain yield in chickpea (Cicer arietinum) under normal and heat stress conditions. Indian J. Agric. Sci., 89:721-725.
Jha U.C., Nayyar H., Thudi M., Beena R., Vara Prasad P.V., Siddique K.H.M. 2024. Unlocking the nutritional potential of chickpea: strategies for biofortification and enhanced multi nutrient quality. Front. Plant Sci., 15:1391496.
Jukanti A.K., Gaur P.M., Gowda C.L., Chibbar R.N. 2012.Nutritional quality and health benefits of chickpea (Cicer arietinum L.): a review. Br. J .Nutr. 108 Suppl., 1:S11-26.
Kalra N., Chakraborty D., Sharma A., Rai H.K., Jolly M., Chander S., Kumar P.R., Bhadraray S., Barman D., Mittal R.B., Lal M. 2008. Effect of increasing temperature on yield of some winter crops in northwest India. Curr. Sci., 94: 82-88.
Karimizadeh R., Pezeshkpour P., Mirzaee A., Barzali M., Sharifi P., Safari Motlagh M.R. 2023. Stability analysis for seed yield of chickpea (Cicer arietinum L.) genotypes by experimental and biological approaches. Vavilovskii Zhurnal Genet Selektsii. 27:135-145.
Li Y., Bao H., Xu Z., Hu S., Sun J., Wang Z., Yu X. and Gao, J. 2023. AMMI an GGE biplot analysis of grain yield for drought-tolerant maize hybrid selection in Inner Mongolia. Sci. Reps., 13:18800.
Srivastava A.K., Mondal B., Jha U.C., Singh A., Biradar R. S., Praween N., Singh N., Dixit G.P. and Kumar, Y. 2022. Selecting stable chickpea genotypes under rainfed cultivation using GGE biplot analysis. Legume Res., 1:1-6.
Wu C., Cui K., Li Q., Li L., Wang W., Hu Q., Ding Y., Li G., Fahad S., Huang J. and Nie L. 2021. Estimating the yield stability of heat-tolerant rice genotypes under various heat conditions across reproductive stages: a 5-year case study. Sci. Reps., 11:13604.
Yan W, and Tinker N. A. 2006. Biplot analysis of multi-environment trial data: principles and applications. Can. J. Plant Sci., 86: 623–45.