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Abstract

Wheat is the third most important cereal crop in Nepal. The impact of global warming is threatening global wheat production and food security. The terminal heat stress reduces the grain quality of wheat. However, the drought is affecting more than 15% of global wheat productivity. To find out the stable and high- yielding wheat genotype the experiment was carried out in Rupandehi, Nepal with twenty genotypes under three different environmental conditions namely heat drought, heat stress and irrigated in an alpha lattice design with two replications in each environment. The AMMI (Additive mean effect multiplicative interaction) biplot analysis shows differences in 20 different genotypes in terms of yield and stability. The analysis of variance model showed the share of GE (genotype and environment) interaction in the variation in grain yield of twenty wheat genotypes. The grain yield of genotype varied significantly with environmental impact (p ). The AMMI stability value (ASV) examined NL1387 as the most stable line. The tested environments were discriminative for genotype and showed negative correlation between them. The GGE biplot analysis was conducted to find out the best performing line under different environments and the stable line in diverse environments. The NL1420 was found stable genotype in all three tested environment. The NL1376 line is most ideal ranking first in the ranking biplot. The mean versus stability model indicated NL1369 and NL1376 as elite genotypes and NL 1404, BL4919 and NL1387 can be recommended as new cultivars.

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How to Cite
Timalsina, B., Ghimire, S., Roka, P., Poudel, R., Sapkota, S., Bhattarai, K., Aryal, A., Ganesh , G. C., Neupane, K., Gautam, P., Pariyar, M. K., Sharma, S., Chaudhary, E., Poudel, M. R., & Bhandari, R. (2023). AMMI and GGE biplot analysis of yield performance of wheat genotypes under irrigated, heat stress and heat drought environments . Journal of Agriculture and Applied Biology, 4(2), 191-201. https://doi.org/10.11594/jaab.04.02.09

References

Adhikari, S. (2018). Drought impact and adaptation strategies in the mid-hill farming system of western Nepal. Environments, 5(9), 101. CrossRef
Ajay, B. C., Fiyaz, R. A., Bera, S. K., Kumar, N., Gangadhar, K., Kona, P., Rani, K., & Radhakrishnan, T. (2022). Higher order AMMI (HO-AMMI) analysis: A novel stability model to study geno-type-location interactions. Indian Journal of Genetics and Plant Breeding (The), 82(01), 25–30. CrossRef
Alake, C. O., Ayo-Vaughan, M. A., & Ariyo, J. O. (2015). Selection criteria for grain yield and stabil-ity in bambara groundnut (Vigna subterranean (L) Verdc) landraces. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 65(5), 433–447. CrossRef
Alizadeh, K., Mohammadi, R., Shariati, A., & Eskandari, M. (2017). Comparative analysis of statis-tical models for evaluating genotype × environment interaction in rainfed safflower. Agri-cultural Research, 6(4), 455–465.CrossRef
Biswash, K.C., Mukti, R.P., & 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). CrossRef
Dangol, D. R. (2015). Weeds of wheat in Nepal: A literature review. Journal of Natural History Museum, 27, 132–178. CrossRef
Devkota, N., & Phuyal, R. K. (2016). Climatic impact on wheat production in terai of Nepal. Jour-nal of Development and Administrative Studies, 23(1–2), 1–22. CrossRef
Elahi, I., Saeed, U., Wadood, A., Abbas, A., Nawaz, H., Jabbar, S., Elahi, I., Saeed, U., Wadood, A., Abbas, A., Nawaz, H., & Jabbar, S. (2022). Effect of Climate Change on Wheat Productivity. In Wheat—Recent Advances. IntechOpen. CrossRef
Erdemci, İ. (2018). Investigation of genotype × environment interaction in chickpea genotypes using AMMI and GGE biplot analysis. Turkish Journal Of Field Crops, 23(1), 20–26. CrossRef
Esan, V. I., Oke, G. O., Ogunbode, T. O., & Obisesan, I. A. (2023). AMMI and GGE biplot analyses of bambara groundnut [Vigna subterranea (L.) Verdc.] for agronomic performances under three environmental conditions. Frontiers in Plant Science, 13, 997429. CrossRef
Food and Agriculture Organization (2007). Crop prospects and food situation (2007). Direct Link.
Food and Agriculture Organization of the United Nations (2014). Wheat production to decline by 2% in 2014. Direct Link.
Gairhe, S., Karki, T. B., Upadhyay, N., & Sapkota, S. (2017). Trend analysis of wheat area, produc-tion and productivity in Nepal: An overview. Proceedings of 30th National Winter Crops Workshop, 15(December), 495.
Gauch, H. G. (1988). Model selection and validation for yield trials with interaction. Biometrics, 44(3), 705–715. CrossRef
Hagos, H. G., & Abay, F. (2013). AMMI and GGE biplot analysis of bread wheat genotypes in the northern part of Ethiopia. J. Plant Breeding and Genetics, 01, 12–18.
Jasrotia, P., Kashyap, P., Bhardwaj, A., Kumar, S., & Singh, G. (2018). Scope and applications of nanotechnology for wheat production: A review of recent advances. Journal of Cereal Re-search, 10, 1–14. CrossRef
Joshi, A. K., Chand, R., Arun, B., Singh, R. P., & Ortiz, R. (2007a). Breeding crops for reduced-tillage management in the intensive, rice–wheat systems of South Asia. Euphytica, 153(1–2), 135–151. CrossRef
Joshi, A. K., Chand, R., Arun, B., Singh, R. P., & Ortiz, R. (2007b). Breeding crops for reduced-tillage management in the intensive, rice–wheat systems of South Asia. Euphytica, 153(1–2), 135–151. CrossRef
Kaini, S., Harrison, M. T., Gardner, T., Nepal, S., & Sharma, A. K. (2022). The impacts of climate change on the irrigation water demand, grain yield, and biomass yield of wheat crop in Ne-pal. Water (Switzerland), 14(17), 1–17. CrossRef
Karuniawan, A., Maulana, H., Ustari, D., Dewayani, S., Solihin, E., Solihin, M. A., Amien, S., & Ari-fin, M. (2021). Yield stability analysis of orange fleshed sweet potato in Indonesia using AMMI and GGE biplot. Heliyon, 7(4), 1–10. CrossRef
Kendal, E., & Şener, O. (2015). Examination of genotype × environment interactions by GGE bip-lot analysis in spring durum wheat. Indian Journal of Genetics and Plant Breeding, 75(3), 341–348. CrossRef
Khan, M. M. H., Rafii, M. Y., Ramlee, S. I., Jusoh, M., Al Mamun, M., & Halidu, J. (2021). DNA fin-gerprinting, fixation-index (Fst), and admixture mapping of selected Bambara groundnut (Vigna subterranea [L.] Verdc.) accessions using ISSR markers system. Scientific Reports, 11(1), Article 1. CrossRef
Li, S., Zhang, C., Li, J., Yan, L., Wang, N., & Xia, L. (2021). Present and future prospects for wheat improvement through genome editing and advanced technologies. Plant Communications, 2(4), 100211. CrossRef
Liu, N., Ding, C., Li, B., Ding, M., Su, X., & Huang, Q. (2021). Analysis of the genotype interaction of four-year-old populus euramericana using the BLUP-GGE technique. Forests, 12(12), 1–13. CrossRef
Masson-Delmotte, V., Pörtner, H.-O., Skea, J., Zhai, P., Roberts, D., Shukla, P. R., Pirani, A., Pid-cock, R., Chen, Y., Lonnoy, E., Moufouma-Okia, W., Péan, C., Connors, S., Matthews, J. B. R., Zhou, X., Gomis, M. I., Maycock, T., Tignor, M., & Waterfield, T. (n.d.). An IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty.
Saleem, N., Ahmad, M., Wani, S. A., Vashnavi, R., & Dar, Z. A. (2015). Genotype-environment in-teraction and stability analysis in Wheat (Triticum aestivum L.) for protein and gluten con-tents. Scientific Research and Essays, 10(7), 260–265. CrossRef
Ministry of agriculture and livestock development (2022). Statistical information on Nepalese agriculture 2077-78.pdf. Direct Link.
Nayava, J. L., Singh, R., & Bhatta, M. R. (1970). Impact of climate, climate change and modern technology on wheat production in Nepal: A case study at Bhairahawa. Journal of Hydrology and Meteorology, 6(1), 1–14. CrossRef
Pour-Aboughadareh, A., Barati, A., Koohkan, S. A., Jabari, M., Marzoghian, A., Gholipoor, A., Shahbazi-Homonloo, K., Zali, H., Poodineh, O., & Kheirgo, M. (2022). Dissection of geno-type-by-environment interaction and yield stability analysis in barley using AMMI model and stability statistics. Bulletin of the National Research Centre, 46(1), 19. CrossRef
Purchase, J. L., Hatting, H., & van Deventer, C. S. (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield perfor-mance. South African Journal of Plant and Soil, 17(3), 101–107. CrossRef
Purchase, J. L. (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. South African Journal of Plant and Soil, 17(3), 101–107. CrossRef
Poudel, M. R., Ghimire, S. K., Pandey, M. P., Dhakal, K. H., Thapa, D. B., & Khadka, D. K. (2019). Assessing genetic diversity for drought and heat stress tolerance of Nepalese wheat geno-types by SSR markers. EurAsian Journal of Bio Sciences, 13, 941-948.
Rad, M. R. N., Kadir, M. A., Rafii, M. Y., Jaafar, H. Z. E., & Naghavi, M. R. (2013). Genotype × envi-ronment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. Australian Journal of Crop Science, 7(7), 956-961.
Redden, R. (2013). New Approaches for Crop Genetic Adaptation to the Abiotic Stresses Predicted with Climate Change. Agronomy, 3(2), 419–432. CrossRef
Rezaei, E. E., Siebert, S., & Ewert, F. (2015). Intensity of heat stress in winter wheat phenology compensates for the adverse effect of global warming. Environmental Research Letters, 10(2), 024012. CrossRef
Rizwan, M., Ali, S., Abbas, T., Zia-ur-Rehman, M., Hannan, F., Keller, C., Al-Wabel, M. I., & Ok, Y. S. (2016). Cadmium minimization in wheat: A critical review. Ecotoxicology and Environmen-tal Safety, 130, 43–53. CrossRef
Ruswandi, D., Syafii, M., Maulana, H., Ariyanti, M., Indriani, N. P., & Yuwariah, Y. (2021). GGE bip-lot analysis for stability and adaptability of maize hybrids in western region of Indonesia. International Journal of Agronomy, 2021. CrossRef
Sabaghnia, N., Karimizadeh, R., & Mohammadi, M. (2013). GGL biplot analysis of durum wheat (Triticum turgidum spp. Durum) yield in multi-environment trials. Bulgarian Journal of Ag-ricultural Science, 19(4), 756–765.
Sayar, M. S., & Han, Y. (2015). Determination of seed yield and yield components of grasspea (Lathyrus sativus L.) lines and evaluations using GGE biplot analysis method. Tarim Bilimleri Dergisi, 21(1), 78–92. CrossRef
Srivastava, A. K., Mondal, B., Jha, U. C., Singh, A., Biradar, R. S., Praween, N., Singh, N., Dixit, G. P., & Kumar, Y. (2022). Selecting stable chickpea genotypes under rainfed cultivation using GGE biplot analysis. Legume research - an international journal, of. CrossRef
Subedi, S., Ghimire, Y. N., Adhikari, S. P., Devkota, D., Poudel, H. K., & Sapkota, B. K. (2019). Adoption of improved wheat varieties in eastern and western terai of Nepal. Journal of Ag-riculture and Natural Resources, 2(1), 85–94. CrossRef
Subedi, S., Ghimire, Y., Kharel, M., Adhikari, S., Shrestha, J., & Sapkota, B. (2020). Technical effi-ciency of rice production in terai district of Nepal. Journal of Agriculture and Natural Re-sources, 3, 32–44. CrossRef
Timsina, K. P., Ghimire, Y. N., Gauchan, D., Subedi, S., & Adhikari, S. P. (2018). Lessons for promo-tion of new agricultural technology: A case of Vijay wheat variety in Nepal. Agriculture & Food Security, 7(1), 63. CrossRef
Yan, M.-C., & Tsui, M.-S. (2007). The quest for western social work knowledge: Literature in the USA and practice in China. International Social Work, 50(5), 641–653. CrossRef