Thirty bread wheat genotypes were tested by adopting Randomized Block Design with three replications during 2019-20, under two different environments, i.e. early and timely sown conditions. The ultimate goal was to determine the relationship between yield and yield contributing traits and classify traits that have the highest direct and indirect effects on grain yield under both environmental circumstances. Grain yield was positively and significantly correlated with no. of tiller/plant, no. of grains/spike, relative water content, spike fertility, harvest index, grain zinc content and chlorophyll content at the level of both genotype and phenotype; conversely, found significantly negative with canopy temperature and non-significant with days to 50 % flowering and seedling length. Under stress condition, the correlation for grain yield/plant was found significant, and it was correlated positively with no. of tiller/plant, spike fertility, relative water content, harvest index and grain zinc content and non-significantly with seedling length, no. of grain/spike, chlorophyll content, flag leaf area and thousand-grain weight. At the level of both genotype and phenotype, grain yield per plant had a high direct effect in the positive direction by harvest index followed by no. of tiller/plant, no. of grain/spike, relative water content. Thus, more weightage should be given towards these traits as selecting these traits can be rewarding to achieve high yielding wheat genotypes.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
- Bahar, B., Yildirim, M. and Yucel, C. 2011. Heat and drought resistance criteria in spring bread wheat (Triticum aestivum L.): Morpho-physiological parameters for heat tolerance. Scientific Research and Essays, 6(10): 2212-2220.
- Barman, M., Choudhary, V. K., Singh, S. K., Parveen, R. and Gowda, A. K. 2020b. Correlation and Path Coefficient Analysis in Bread Wheat (Triticum aestivum L.) Genotypes for Morpho-physiological Traits along with Grain Fe and Zn Content. Current Journal of Applied Science and Technology, 39(36): 130-140.
- Barman, M., Choudhary, V. K., Singh, S. K., Singh, M. K. and Parveen, R. 2020a. Genetic Variability Analysis in Bread Wheat (Triticum aestivum L.) Genotypes for Morpho Physiological Characters and Grain Micronutrient Content. International Research Journal of Pure & Applied Chemistry, 21(22): 1-8.
- Baye, A., Berihun, B., Bantayehu, M. and Derebe, B. 2020. Genotypic and Phenotypic Correlation and Path coefficient analysis for yield and yield-related traits in advanced bread wheat (Triticum aestivum L.) lines. Cogent Food and Agriculture, 6 (1): 1752603.
- Cakmak, I. 2008. Enrichment of cereal grains with zinc: agronomic or genetic biofortification? Plant and Soil, 302:1–17.
- Chimdesa, O., Mohammed, W. and Eticha, F. 2017. Analysis of genetic variability among bread wheat (Triticum aestivum l.) genotypes for growth, yield and yield components in Bore district, Oromia regional state. Agriculture, Forestry and Fisheries, 6(6): 188.
- Dewey, D. R. and Lu, K. 1959. A Correlation and Path Coefficient Analysis of Components of Crested
- Wheatgrass Seed Production. Agronomy journal, 51(9): 515-518.
- Dogan, R. 2009. The correlation and path coefficient analysis for yield and some yield components of durum wheat (Triticum turgidum L. var. durum) in West Anatolia conditions. Pakistan Journal of Botany, 41(3): 1081-1089.
- FAOSTAT. 2019. Crop production. www.fao.org/faostat/. Accessed on January 31, 2021.
- Iftikhar, R., Khaliq, I., Ijaz, M. and Rashid, M. R. 2012. Association Analysis of Grain Yield and its Components in Spring Wheat (Triticum aestivum L). American–Eurasian Journal of Agriculture and Environmental Science, 12(3): 389–392.
- Joshi, A. K., Mishra, B., Chatrath, R., Ferrara, G. O. and Singh, R. P. 2007. Wheat improvement in India: present status, emerging challenges and future prospects. Euphytica, 157(3): 431-446.
- Khan, M. H. and Dar, A. 2010. Correlation and path coefficient analysis of some quantitative traits in wheat. African Crop Science Journal, 18: 9-14.
- Kotal, B. D., Das, A. and Choudhury, B. K. 2010. Genetic Variability and Association of Characters in Wheat (Triticum aestivum L.). Asian Journal of Crop Science, 2 (3): 155-160.
- Kumar, R., Bhushan, B., Pal, R. and Gaurav, S. S. 2014. Correlation and Path Coefficient Analysis for Quantitative Traits in Wheat (Triticum aestivum L.) under Normal Condition. Annals of Agri-Bio Research, 19 (3): 447-450.
- Mohsen, A. A., Hegazy, S. R. and Taha, M. H. 2012. Genotypic and phenotypic interrelationships among yield and yield components in Egyptian bread wheat genotypes. Journal of Plant Breeding and Crop Science, 4(1): 9-16.
- Sharma, D., Jaiswal, J. P., Singh, N. K., Chauhan, A. and Gahtyari, N. C. 2018. Developing a Selection Criterion for Terminal Heat Tolerance in Bread Wheat Based on Various Mopho-Physiological Traits. International Journal of Current Microbiology and Applied Sciences, 7(7): 2716-2726.
- Sharma, P., Kamboj, M. C., Singh, N., Chand, M. and Yadava, R. K. 2018. Path Coefficient and Correlation Studies of Yield and Yield Associated Traits in Advanced Homozygous Lines of Bread Wheat Germplasm. International Journal of Current Microbiology and Applied Science, 7(2): 51-63.
- Sharma, V., Kumar, A. and Kumari, S. 2018. Correlation matrix wheat (Triticum asetivum L.) grain zinc (Zn) & iron (Fe) and among yield contributing traits quantitative and quality traits. Journal of Pharmacognosy and Phytochemistry, 7(4): 329-332.
- Stein, A. J. 2010. Global impacts of human mineral mal-nutrition. Plant and Soil, 335: 133–154.
- Verma, S. P., Pathak, V. N. and Verma, O. P. 2019. Interrelationship between Yield and its Contributing Traits in Wheat (Triticum aestivum L). International Journal of Current Microbiology and Applied Science, 8(2): 3209-32151.
- Zafarnaderi, N., Aharizad, S. and Mohammadi, S. A. 2013. Relationship between grain yield and related agronomic traits in bread wheat recombinant inbred lines under water deficit condition. Annals of Biological Research, 4(4): 7-11.