Genotype × Environment Interaction and Variability for Grains per Spike and Spike Length in Wheat (Triticum aestivum L.) genotypes under Temperate conditions

Author: Shabir H. Wani, Mehdi Rahimi, Hanif Khan, Basharat ul Islam, N.R. Sofi, Asif B. Shikari, Ashaq Hussain, F. A. Mohiddin, M. Ashraf Ahanger, I.A. Jehangir, G.H. Khan, Zahoor A. Dar, Aabid H. Lone, J. A. Lone, M. S. Dar and Saba Mir

PDF Download PDF

Abstract

Variability of grains per spike and spike length are one of the important contributors of grain yield in wheat. Also, the experiments measuring the interaction between genotypes and environments measure the spatial (e.g., locations) and temporal (e.g., years) separation and/or combination of these factors. The genotype-by-environment interaction (GEI) is very important in plant breeding programs. It is necessary for researchers that calculate stability indices, and ultimately select the superior genotypes, to dissect their usefulness. The aim of this study was to estimate variability of grains per spike and spike length in 32 genetically divergent wheat accessions and two wheat cultivars evaluated during 2019 and 2020 wheat growing season. The experiment was set up as a randomized block design in three replications. Obtained results indicated differences in average values of grains per spike and spike length among tested lines and cultivars. The results of combined analysis of variance

Keywords

wheat; variability; grains per spike; spike length.

Conclusion

In this research the variations had been decided amongst wheat genotypes in step with values of grains per spike and spike length. The maximum values of grains per spike and spike length had observed in entries 33, 11, 16 and 18. Increasing of wheat grain yield is viable through enhancing all morphological, physiological tendencies of spike as a significant wheat yield contributing trait. Since increase in these traits contributes in increased yield in wheat and the fact that the interactions of genotype with the environment were not significant, so these four accessions can be used in breeding programs to increase wheat yield.

References

Adil, N., Wani, S. H., Rafiqee, S., Mehrajuddin, S., Sofi, N. R., Shikari, A. B., Rahimi, M. (2022). Deciphering Genotype× Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region. Ekin Journal of Crop Breeding and Genetics, 8(1), 41-52. Akçura, M. (2009). Genetic variability and interrelationship among grain yield and some quality traits in Turkish winter durum wheat landraces. Turkish Journal of Agriculture and Forestry, 33(6), 547-556. Akram, Z., Ajmal, S. U., & Munir, M. (2008). Estimation of correlation coefficient among some yield parameters of wheat under rainfed conditions. Pakistan Journal of Botany, 40(4), 1777-1781. Balfourier, F., Bouchet, S., Robert, S., De Oliveira, R., Rimbert, H., Kitt, J., Paux, E. (2019). Worldwide phylogeography and history of wheat genetic diversity. Science advances, 5(5), Article number, eaav0536. Dabiry, S., Esmaeili, M. A., Haghparast, R., & Ghajarsepanlo, M. (2015). G

How to cite this article

Shabir H. Wani*, Mehdi Rahimi, Hanif Khan, Basharat ul Islam, N.R. Sofi, Asif B. Shikari, Ashaq Hussain, F. A. Mohiddin, M. Ashraf Ahanger, I.A. Jehangir, G.H. Khan, Zahoor A. Dar, Abid H. Lone, J. A. Lone, M. S. Dar and Saba Mir (2022). Genotype × Envi