Stability and seasonal adaptability of sugarcane (Saccharum officinarum)clones across crop cycles revealed by AMMI analysis
148 / 68
Keywords:
AMMI, ASV, GEI, Sugarcane, StabilityAbstract
Sugarcane (Saccharum officinarum L.) productivity in Andhra Pradesh has declined due to seasonality and the scarcity of stable high-performing sugarcane clones. Thus, the identification of sugarcane genotypes that perform consistently in the fields across several cropping seasons and exhibit good quality parameters is of primary interest for sustainable development of sugarcane varieties. The field experiment was conducted for three years from 2022 to 2024 at the Regional Agricultural Research Station, Anakapalle, Visakhapatnam, Andhra Pradesh to assess 20 sugarcane genotypes, 14 test clones and six standard checks across three crops cycles, viz. first crop, second crop and ratoon using a randomised block design (RBD) plot arrangement with three replications. The joint analysis of seasonal variance and AMMI (Additive Main effects and Multiplicative Interaction) analysis indicated significant individual effects attributable to genotype (G), environment (E) and their interaction (GEI) for all traits examined in this investigation. Genotypic effects were predominant in variation for cane yield and sugar yield traits: cane yield (34.34%), CCS (Commercial cane sugar) yield (36.38%) and CCS% (33.72%) than environmental effects (20.58% cane yield, 10.37% CCS yield and 9.17% CCS % variation), highlighting the predominance of genetic control. Based on their mean performance, three entries 2018A 6, 2018A 157 and 2018A 88 were identified as superior clones for cane yield and sucrose accumulation. The AMMI model identified clones 2018A 157 and 2018A 88 as potential stable clones for cane yield. Additionally, clones 2018A 157 and 2018A 6 were found to be promising for CCS yield, while clone 2018A 6 was identified as the ideal clone for sucrose % and CCS % . Overall, clones 2018A 157 and 2018A 6 emerged as the most ideal genotypes, combining high performance and stability across all traits. Furthermore, the AMMI stability value indicated that clones 2018A 107 and 2018A 130 were stable across crop cycles for all evaluated traits.
Downloads
References
Anonymous. 2024. The Second Advance Estimates of Production of Foodgrains, Oilseeds and Other Commercial Crops for the Year 2023–24. Directorate of Economics and Statistics, Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India, New Delhi.
Appunu C, Hemaprabha G, Sreenivasa V, Durai A A, Mohanraj K, Elayaraja K, Rajesh V and Ram B. 2024. Evaluation of sugarcane genotypes (Saccharum spp. hybrid) for multi-trait stability analysis across diverse environments. Industrial Crops and Products 219: 118993. DOI: https://doi.org/10.1016/j.indcrop.2024.118993
Durai A A, Amaresh, Kumar R A and Hemaprabha G. 2025. Elucidating the GXE interaction using AMMI, AMMI stability parameters and GGE for cane yield and quality in sugarcane. Tropical Plant Biology 18(1): 3. DOI: https://doi.org/10.1007/s12042-024-09372-2
Elayaraja K, Govindaraj P, Mahadevwamy H K, Appunu C, Hemaprabha G, Rajesh V and Ram B. 2022. Stability analysis for identification of stable genotypes of sugarcane (Saccharum spp.) through AMMI model. Indian Journal of Genetics and Plant Breeding 82(4): 564–70.
Esan V I, Oke G O, Ogunbode T O and 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. DOI: https://doi.org/10.3389/fpls.2022.997429
Fouladvand M, Ebrahimi A, Rahaie M and Shariati V. 2024. The stability of sugar yield in promising sugarcane genotypes (Saccharum officinarum L.). International Journal of Agronomy 2024(1): 5540112. DOI: https://doi.org/10.1155/2024/5540112
Gollob H F. 1968. A statistical model which combines features of factor analytic and analysis of variance techniques. Psychometrika 33(1): 73–115. DOI: https://doi.org/10.1007/BF02289676
Kumar R, Dhansu P, Kulshreshtha N, Meena M R, Kumaraswamy M H, Appunu C and Pandey S K. 2023. Identification of salinity-tolerant stable sugarcane cultivars using AMMI, GGE and some other stability parameters under multi-environments of salinity stress. Sustainability 15(2): 1119. DOI: https://doi.org/10.3390/su15021119
Kumar R, Meena M R, Dhansu P, Chhabra M L, Appunu C, Sreenivasa V and Amaresh. 2025. Disclosure of productive and stable sugarcane genotypes for cane yield and quality traits using various stability statistics. Tropical Plant Biology 18(1): 11. DOI: https://doi.org/10.1007/s12042-024-09374-0
Nair N V, Nagarajan R, Mathew M D and Sreenivasan T V. 1999. Components of yield and quality in intraspecific hybrids of Saccharum officinarum L. selected for ancillary uses. Sugar Tech 1: 124–27. DOI: https://doi.org/10.1007/BF02945185
Olivoto T and Lucio A D. 2020. Metan: An R package for multi‐environment trial analysis. Methods in Ecology and Evolution 11: 783–89. DOI: https://doi.org/10.1111/2041-210X.13384
Otieno V O. 2016. ‘Modeling genotype and environment interaction for performance stability and adaptability of sugarcane cultivars’. PhD Thesis, University of Nairobi, Nairobi, Kenya.
Posit Team. 2022. R Studio: Integrated Development Environment for R Posit Software. PBC, Boston, MA. http://www.posit.co
Sadhu S, Chakraborty M, Roy S K, Mandal R, Hijam L, Debnath M K and Rout S. 2024. Genotype by environment interaction in mustard (Brassica juncea) under Terai agro-climatic zone using the AMMI model and GGE biplot. Electronic Journal of Plant Breeding 15(2): 325–36. DOI: https://doi.org/10.37992/2024.1502.045
Sanghera G S, Kumar A and Kumar R. 2018. Simultaneous selection for yield and stability in sugarcane using AMMImodel. Journal of Krishi Vigyan 6(2): 206–13. DOI: https://doi.org/10.5958/2349-4433.2018.00072.7
Seife A and Tena E. 2020. Genotype × environment interaction and yield stability analysis of sugarcane (Saccharum officinarum L.) genotypes. International Journal of Advanced Research in Biological Sciences 7(1): 14–26.
Sharifi P, Aminpanah H, Erfani R, Mohaddesi A and Abbasian A. 2017. Evaluation of genotype × environment interaction in rice based on AMMI model in Iran. Rice Science 24(3): 173–80. DOI: https://doi.org/10.1016/j.rsci.2017.02.001
Soni J K, Lalramhlimi B, Kumar A, Sunani S K, Sailo L, Shakuntala I and Doley S. 2022. Stability analysis for yield and yield component traits of winged bean. Indian Journal of Hill Farming 35(2): 192–202.
Sudhagar R, Saravanan N A, Kanchanarani R, Shanmuganathan M, Ganapathy S, Babu C, Thirumurugan A, Ravichandran V, Appunu C and Anna Durai A. 2024. Evolution, identification, evaluation, and characterization of a stable salinity tolerant sugarcane variety CoG 7. Scientific Reports 14(1): 20448. DOI: https://doi.org/10.1038/s41598-024-70756-1
Sugeerthi S, Jayachandran M and Chinnusamy C. 2018. Effect of planting materials and integrated nutrient management on yield of sugarcane seed crop. Madras Agricultural Journal 105: 262–65. DOI: https://doi.org/10.29321/MAJ.2018.000116
Tena E, Goshu F, Mohamad H, Tesfa M, Tesfaye D and Seife A. 2019. Genotype × environment interaction by AMMI and GGE-biplot analysis for sugar yield in three crop cycles of sugarcane (Saccharum officinarum L.) clones in Ethiopia. Cogent Food and Agriculture 5(1): 1651925. DOI: https://doi.org/10.1080/23311932.2019.1651925
Verma O N, Rastogi N K, Sinha S K, Salam J L and Singh P K. 2023. Genotype × environment interaction for cane yield of sugarcane varieties (Saccharum officinarum L.) in the three agro-climatic zones of Chhattisgarh. Indian Journal of Genetics and Plant Breeding 83(1): 114–21.
Vinu V, Alarmelu S, Elayaraja K, Appunu C, Hemaprabha G, Parthiban S and Varatharaj M K C. 2024. Multi-environment analysis of yield and quality traits in sugarcane (Saccharum spp.) through AMMI and GGE biplot analysis. Sugar Tech: 1–19. DOI: https://doi.org/10.1007/s12355-024-01498-7
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2026 The Indian Journal of Agricultural Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Agricultural Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.