:: Volume 21, Issue 3 (autumn 2019 2019) ::
علوم زراعی 2019, 21(3): 225-236 Back to browse issues page
Evaluation of yield stability of forage sorghum [Sorghum bicolor (L.) Moench] genotypes using AMMI analysis
Azim Khazaei , Torabi , Hassan Mokhtararpour , Ali Reza Beheshti
Assistant Prof., Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
Abstract:   (2614 Views)
Sorghum is an important forage crop used as silage, fresh forage and dry forage. To evaluate the yield stability of 16 genotypes; cultivars, lines and hybrids, of forage sorghum, experiments were conducted using randomized complete block design with three replications during 2016-17 at Karaj, Isfahan, Gorgan, and Mashhad field stations, Iran. The results of combined analysis of variance showed that the effect of location, year, genotype and their interactions were significant on forage yield. Mean comparison showed that hybrids No. 8 (Siloking) and 12 (FGCSI12) were superior to other genotypes with 130.6 and 127.5 t.ha-1 of fresh forage yiled, and 26.97 and 27.17 t.ha-1 of dry forage yield, respectively. The hybrid No. 2 (Speedfeed), No. 9 (PHFS-27), No. 5 (Juicy Sweet BMR SSH.1) and No. 13 (Sucarose- Photo- BMR) had also high fresh forage yield of 105.6, 107.8, 108.2 and 107t.ha-1, respectively. The analysis of variance by AMMI method and fitting of principal components to the interaction effects of genotype and environment showed that the two principal components were significant for fresh and dry forage yield. According to the AMMI model and AMMI stability value (ASV), genotypes No. 8 (Siloking) and 12 (FGCSI12) with the high yield and stability were identified as suitable genotypes.
Keywords: AMMI analysis, Sorghum, Forage yield and Principal components
Full-Text [PDF 444 kb]   (1095 Downloads)    
Type of Study: Scientific & Research | Subject: Special
Received: 2019/12/18 | Accepted: 2019/12/18 | Published: 2019/12/18
References
1. Abamuf, J. and A. Allurik. 1998. AMMI analysis of rainfed lowland rice (Oryza sativa) traits in Nigeria. Plant Breed. 117: 395-397.##Al-Naggar, A. M. M., R. M. Abd El-Salam, M. R. Asran and Y. S. Yaseen. 2018. Yield adaptability and stability of grain sorghum genotypes across different environments in Egypt using AMMI and GGE-biplot models. Annu. Res. Rev. Biol. 23(3): 1-16.##Basafa, M., M. Taherian and A. Beheshti. 2015. Stability analysis for forage yield in sorghum lines. Agron. J. (Pashohesh & Sazendagi), 107: 99 -107. (In Persian with English abstract).##Dogget, H. 1988. Sorghum (2nd). Longman. ScientificTechnical. England.##FAO. 2016. FAO data based [online]. Available at, http://faostat.fao.org##Gauch, H. G. 1988. Model Selection and validation for yield trials with interaction. Biometrics, 44: 705-715.##Gauch, H. G. 1992. Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs. Elsevier, Netherlands, Amsterdam, pp. 256.##Katsura, K., Y. Tsujimoto, M. Oda, K. I. Matsushima, B. Inusah, W. Dogbe and J. I. Sakagami. 2016 . Genotype - by - environments interaction analysis of rice (Oryza spp) yield in a flood plain ecosystem in West Africa. Europ. J. Agron. 73: 152- 159.##Purchase, J. L. 1997. Parametric Analysis to Describe Genotype × Environment Interaction and Yield Stability in Winter Wheat. PhD Thesis, Department of Agronomy, Faculty of Agriculture of the University of the Free State, Bloemfontein, South Africa.##Roostaei, M., R. Mohammadi and A. Amri. 2014. Rank correlation among different statistical models in ranking of winter wheat genotypes. Crop J. 2:154-163.##Shiri, M.R. 2016. Evaluation of fresh and dry forage yield stability of forage sorghum varieties (Sorghum bicolor L. Moench) in different conditions. Journal of crop breeding Vol.8, No.19. PP:93 - 101.##Smith, C. W. and R. A. Frederiksen. 2000. Sorghum: Origin, History, Technology, and Production. John Wiley & Sons Inc., New York, USA. pp. 840.##Tarakanovas, P. and V. Ruzgas. 2006. Additive main effect and multiplicative interaction analysis of grain yield of wheat varieties in Lithuania. Agric. Res. 4: 91-98.##Yan, W. and L. A. Hunt. 2002. Biplot analysis of multi-environment trial data, In: M. S. Kang, (Ed.), Quantitative Genetics, Genomics and Plant Breeding. CAB International, Willingford.##



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