Assessment Of Diversity For Yield And Its Component  Traits In F2 Population Of Wheat (Triticum Aestivum L.) Under  Salinity Conditions

Satender Yadav; Y P S Solanki; Vikram Sing; Shikha Yashveer; Hari Kesh

doi:10.48165/

Authors

Satender Yadav Department of Genetics and Plant Breeding, Biotechnology and Bioinformatics, CCS Haryana Agricultural University, Hisar – 125 004, Haryana (India)
Y P S Solanki Department of Genetics and Plant Breeding, Biotechnology and Bioinformatics, CCS Haryana Agricultural University, Hisar – 125 004, Haryana (India)
Vikram Sing Department of Genetics and Plant Breeding, Biotechnology and Bioinformatics, CCS Haryana Agricultural University, Hisar – 125 004, Haryana (India)
Shikha Yashveer Department of Molecular Biology, Biotechnology and Bioinformatics, CCS Haryana Agricultural University, Hisar – 125 004, Haryana (India)
Hari Kesh Department of Genetics and Plant Breeding, Biotechnology and Bioinformatics, CCS Haryana Agricultural University, Hisar – 125 004, Haryana (India)

DOI:

https://doi.org/10.48165/

Keywords:

Cluster analysis, D2-statistics, genetic diversity, salinity, wheat

Abstract

Genetic diversity analysis of yield and yield contributing traits in F2 population of wheat cross ‘Kharchia 65 x HD 2851’ wasestimated, based on D2-statistics, for 100 selected phenotypically superior plants that were grouped into 13 clusters. Clustering pattern revealedthat cluster II and IV were the largest ones with 14 genotypes. The highest inter-cluster distance was observed between clusters VII and VIII (11.67), followed by between clusters VII and X (10.85), VII and IX (9.88) and VII and XII (9.88). This indicates that plants included in these clusters possess wide genetic diversity. Further, cluster VIII exhibited high mean value for number of spikelets spike-1 (18.0), number of grains ear-1 (36.0), grain yield plant-1 (0.911 g) and biological yield plant-1 (4.342 g). Cluster I showed highest mean value for the number of grains spikelet-1(3.0), moderate 1000-grain weight (32.95 g) and acceptable harvest index (34.6%). The clusters VII, I, II, III, XI and XII were outstanding on the basis of better cluster mean for most of the characters. The genotypes in these clusters should be selected and utilized to the advanced generation in a breeding program for improved salinity tolerance.

Downloads

Download data is not yet available.

References

Ali, T., Singh, M.K., Bharadwaj, D.N. and Singh, L. 2017. Analysis of genetic divergence in wheat (Triticum aestivum L.). Environment and Ecology, 35(3B): 2081-2083.

Arya, V.K., Singh, J., Kumar, L., Kumar, R., Kumar, P. and Chand, P. 2017. Genetic variability and diversity analysis for yield and its components in wheat (Triticum aestivum L.). Indian Journal of Agricultural Research, 51: 128-134.

Ashraf, M. 2004. Some important physiological selection criteria for salt tolerance in plants. Flora, 199: 361-376.

CCSHAU. 2014. Package of Practices for Rabi Crops. CCS Haryana Agricultural University, Hisar, Haryana, India.

Dixon, J., Braun, H.J. and Crouch, J. 2009. Transitioning wheat research to serve the future needs of the developing world. pp. 1-9. In: Wheat Facts and Future (eds. J. Dixon, H.J. Braun and P. Kosina), CYMMIT, Mexico.

Kumar, A., Gaurav, S.S., Kumar, A. and Rathi, V. 2017. Genetic divergence analysis of agronomic traits in bread wheat (Triticum aestivum L.) genotypes. International Journal of Current Microbiology and Applied Sciences, 6: 2683-2686.

Kumar, B., Lal, G.M., Ruchi and Upadhyay, A. 2009. Genetic variability, diversity and association of quantitative traits with grain yield in bread wheat (Triticum aestivum L.). Asian Journal of Agricultural Sciences, 1: 4-6.

Lorenz, K.J. and Kulp, K. 1991. Handbook of Cereal Science and Technology. Marcel Dekker, New York, USA.

Mahalanobis, P.C. 1936. On the generalized distance in statistics. Proceedings National Academy of Science India, 2: 49-55.

Naik, V.R., Biradar, S.S., Yadawad, A., Desai, S.A. and Veeresha, B.A. 2016. Assessing genetic diversity for yield and quality traits in germplasm lines of bread wheat (Triticum aestivum L.). The Bioscan, 11: 3095-3098.

Nazar, R., Iqbal, N., Syeed, S. and Khan, N.A. 2011. Salicylic acid alleviates decreases in photo synthesis under salt stress by enhancing nitrogen and sulfur assimilation and antioxidant metabolism differently in two mung bean cultivars. Journal of Plant Physiology, 168: 807- 815.

Pandey, M.K., Bind, H.N., Kumar, S. and Singh, B.N. 2017. Genetic divergence in wheat (Triticum aestivum L. Thell.) under saline sodic condition. International Journal of Current Microbiology and Applied Sciences, 6(5): 181-189.

Piyada, T., Juthamas, T., Thongchai, P., Thanawit. T., Chutamas. P., Worapa, S., and Thitiporn, M. 2010. Variety identification and genetic relationships of mung bean and black gram in Thailand based on morphological characters and ISSR analysis. African Journal of Biotechnology, 9: 4452-4464.

Prasad, I, Kulshreshtha, N., Chinchmalatpure, A.R. and Sharma, D.K. 2015. Genetic variability, trait association and multivariate analysis of elite CIMMYT wheat (Triticum aestivum L.) germplasm for yield and sodicity tolerance. Journal of Soil Salinity and Water Quality, 7: 115-123.

IIW&BR. 2016. Project Directorate Report 2015-2016. Indian Institute of Wheat & Barley Research, Karnal, Haryana, India.

Rao, C.R. 1952. Advance Statistical Method in Biometrical Research. John Wiley, New York, USA.

Shah, S., Mehta, D.R. and Raval, L. 2015. Variability analysis and multivariate analysis in bread wheat [Triticum aestivum L.]. The Bioscan, 10: 1515-1519.

Singh, D., Sing, S.K. and Singh, K.N. 2009. Diversity of salt resistance in a large germplasm collection of bread wheat (Triticum aestivum L.). Crop Improvement, 36: 9-12. Singh, G. and Kumar, R. 2017. Genetic diversity for yield and yield traits in wheat. Journal of Pharmacognosy and Phytochemistry, 6(5): 2062-2066.

Singh, G., Kulshreshtha, N., Singh, B.N., Setter, T.L., Singh, M.K., Saharan, M.S. and Sharma, I. 2014. Germplasm characterization, association and clustering for salinity and waterlogging tolerance in bread wheat (Triticum aestivum). Indian Journal of Agricultural Sciences, 84: 1102-1110.

Singh, T., Singh, V., Singh, K.P., Verma, O.P., Mishra, S., Srivastava, A. and Ahmad, R. 2017. D2 analysis in certain promising genotypes of wheat (Triticum aestivum L. em. Thell). Journal of Pharmacognosy and Phytochemistry, 6(5): 2714-2717.

Takeda, K., Zhao, L., Zhong, J., Liu, U. and Mano, Y. 1995. Selection tests of barley and wheat varieties in Heilonggang region of China. pp. 87-90. In: Proceedings of China-Japan Joint Symposium: Impacts of Salinization and Acidification on Terrestrial Ecosystems and their Rehabilitation in East Asia. November 3-5, 1994, Beijing, China.

Tewari, R., Jaiswal, J.P., Gangwar, R.P. and Singh, P.K. 2015. Genetic diversity analysis in exotic germplasm accessions of wheat (Triticum aestivum L.) by cluster analysis. Electronic Journal of Plant Breeding, 6: 1111-1117.