Multivariate Correlation and Path Coefficient Analysis of Various Agro-Physiological Traits in CIMMYT Accessions of Bread Wheat [Triticum aestivum (L.) em. Thell]

Aavula Naveen *

Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.

Pusuluri Srinija

Indian Agricultural Research Institute, New Delhi, 110012, India.

Patel Supriya

Acharya N.G. Ranga Agricultural University, Tirupati, 517502, India.

Bhargavi H. A.

Indian Agricultural Research Institute, New Delhi, 110012, India.

Hemanth S.

Indian Agricultural Research Institute, New Delhi, 110012, India.

B. Sinha

Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.

V. K. Mishra

Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.

*Author to whom correspondence should be addressed.


Abstract

Bread wheat (Triticum aestivum L. em. Thell) is one of the most vital staple crops globally, providing sustenance for billions of people. The continued increase in the global population, coupled with the ever-changing climate patterns and growing concerns about food security, has intensified the need for enhancing the productivity and adaptability of wheat varieties. In this context, in the 2019-20 Rabi season, a research study was conducted at Banaras Hindu University's Agriculture Research Farm, Varanasi, in a randomized complete block design with two replications. This research examines the association and interrelationships between thirteen different agro-physiological traits among fifty accessions of CIMMYT bread wheat. The results demonstrate significant positive correlations between grain yield and yield-related traits, including plant height, spike length, biological yield per plot, test weight, and harvest index at both genotypic and phenotypic levels. Further analysis using path coefficients shed light on the direct and indirect effects of these traits on grain yield. Among the studied traits, harvest index and biological yield per plot were found to have higher direct effects than others. Days to 50 % flowering, days to maturity, plant height, canopy temperature showed negligible positive direct effect on grain yield. These findings hold significant promise for informing and optimizing selection and breeding programs aimed at enhancing wheat varieties.

Keywords: Path analysis, genotypic correlation, residual effect, phenotypic correlation


How to Cite

Naveen , A., Srinija , P., Supriya , P., Bhargavi H. A., Hemanth S., Sinha , B., & Mishra , V. K. (2023). Multivariate Correlation and Path Coefficient Analysis of Various Agro-Physiological Traits in CIMMYT Accessions of Bread Wheat [Triticum aestivum (L.) em. Thell]. International Journal of Plant & Soil Science, 35(21), 498–508. https://doi.org/10.9734/ijpss/2023/v35i214003

Downloads

Download data is not yet available.

References

Pingali P. Agricultural policy and nutrition outcomes–getting beyond the preoccupation with staple grains. Food security. 2015;7:583-591.

Tadesse W, Sanchez-Garcia M, Assefa SG, Amri A, Bishaw Z, Ogbonnaya FC, Baum M. Genetic gains in wheat breeding and its role in feeding the world. Crop Breeding, Genetics and Genomics. 2019;1(1).

Erenstein O, Jaleta M, Mottaleb KA, Sonder K, Donovan J, Braun HJ. Global trends in wheat production, consumption and trade. In Wheat improvement: food security in a changing climate . Cham: Springer International Publishing. 2022;47-66.

FAO. FAOSTAT: Crops. Food and agriculture organization of the United Nations; 2021. Available:http://www.fao.org/faostat/en/#data/QC

Shiferaw B, Smale M, Braun HJ, Duveiller E, Reynolds M, Muricho G. Crops that feed the world 10. Past successes and future challenges to the role played by wheat in global food security. Food Security. 2013;5:291-317.

Naveen A, Mishra VK, Sinha B, Harika AS, Supriya P, Reddy MB. Enumeration of genetic parameters and genetic diversity of morpho-physiological traits in CIMMYT bread wheat GENessions [Triticum aestivum (L.) em. Thell]. Int. J. Environ. Clim. Change. 2023;13(10):629-637.

Food and agriculture organization of the United Nations. FAOSTAT Statistical database; FAO: Rome, Italy; 2022. Available:https://www.fao.org/faostat/en/#home [Accessed on 1 January 2022]

Balaganesh G, Makarabbi G, Sendhil R. Tracking the performance of wheat production in Uttar Pradesh. Indian Journal of Economics and Development. 2019;15(2):216-224.

Dixon J, Braun HJ, Crouch J. Overview: transitioning wheat research to serve the future needs of the developing world. Wheat facts and futures. 2009;23(1).

Kumar D, Rana V, Rana A, Guleria P. Genetic variability, correlation and path analysis studies for grain yield and morpho-physiological traits under moisture-stress conditions in bread wheat (Triticum aestivum L.) under north-western Himalayan conditions. Journal of Cereal Research. 2023;15 (1):92-102. Available:http://doi. org/10.25174/2582-2675/2023, 124000

Rajput RS. Correlation, path analysis, heritability, and genetic advance for morpho-physiological character on bread wheat (Triticum aestivum L.). Journal of Pharmacognosy and phytochemistry. 2018;7(2):107-112.

Moosavi SS, Kian Ersi F, Abdollahi MR. Application of multivariate statistical methods in detection of effective traits on bread wheat (Triticum aestivum L.) yield under moisture stress condition. Cereal Research. 2013;3(2):119-130.

Khare V. Multivariate analysis and role of direct–indirect effect for yield and its component traits in bread wheat (Triticum aestivum L.). Electronic Journal of Plant Breeding. 2022;13(2):447-454.

Hadi BH, AL-Maliky RJM, Zaid MA, Hassan WA. Estimation of some genetic parameters in bread wheat Triticum aestivum L. for WASIT and DIWANIYYA locations. Euphrates Journal of Agriculture Science. 2018;10(1):194-203.

Baye A, Berihun B, Bantayehu M, Derebe B. Genotypic and phenotypic correlation and path coefficient analysis for yield and yield-related traits in advanced bread wheat (Triticum aestivum L.) lines. Cogent Food & Agriculture. 2020;6(1):1752603.

Dutamo D, Alamerew S, Eticha F, Assefa E. Path coefficient and correlation studies of yield and yield associated traits in bread wheat (Triticum aestivum L.) germplasm. World Applied Sciences Journal. 2015;33(11):1732-1739.

Mecha B, Alamerew S, Assefa A, Dutamo D, Assefa E. Correlation and path coefficient studies of yield and yield associated traits in bread wheat (Triticum aestivum L.) genotypes. Adv Plants Agric Res. 2017;6(5):128-136.

Bhushan B, Bharti S, Ojha A, Pandey M, Gourav SS, Tyagi BS, Singh G. Genetic variability, correlation coefficient and path analysis of some quantitative traits in bread wheat. Journal of Wheat Research. 2013;5(1):21-26.

Javed A, Ahmad N, Ahmed J, Hameed A, Ashraf MA, Zafar SA, Ali EF. Grain yield, chlorophyll and protein contents of elite wheat genotypes under drought stress. Journal of King Saud University-Science. 2022;34(7):102279.

Salama YE, Saad KI. Evaluation of genetic variability of bread wheat genotypes under normal irrigation and water stress conditions using multivariate analysis. Journal of Plant Production. 2022;13(11):833-838.

Bennani S, Nsarellah N, Birouk A, Ouabbou H, Tadesse W. Effective selection criteria for screening drought tolerant and high yielding bread wheat genotypes. Universal Journal of Agricultural Research. 2016;4(4):134-142.

Hassani İ, Nimbal S, Singh V, Noori A. Genetic Variability analysis and correlation studies of bread wheat (Triticum aestivum L.) Genotypes. Ekin Journal of Crop Breeding and Genetics. 2022;8(2):139-145.

Maurya AK, Yadav RK, Singh AK, Deep A, Yadav V. Studies on correlation and path coefficients analysis in bread wheat (Triticum aestivum L.). Journal of Pharmacognosy and Phytochemistry. 2020;9(4):524-527.

Kumar B, Singh CM, Jaiswal KK. Genetic variability, association and diversity studies in bread wheat (Triticum aestivum L.). The Bioscan. 2013;8(1):143-147.

El-Dayem A, EL-Gohary YA, Ibrahim HE. Path-coefficient analysis and correlation studies on grain yield and its components of some bread wheat genotypes under three irrigation treatments. Journal of Plant Production. 2021;12(2):115-123.

Gupta V, Kumar M, Singh V, Chaudhary L, Yashveer S, Sheoran R, Nagpal S. Genotype by environment interaction analysis for grain yield of wheat (Triticum aestivum (L.) em. Thell) genotypes. Agriculture. 2022;12(7):1002.

Nasri R, Kashani A, Paknejad F, Vazan S, Barary M. Correlation, path analysis and stepwise regression in yield and yield component in wheat (Triticum aestivum L.) under the temperate climate of Ilam province, Iran. Indian Journal of Fundamental and Applied Life Sciences. 2014; 4(4):188-198.

Azimi AM, Marker S, Bhattacharjee I. Genotypic and phenotypic variability and correlation analysis for yield and its components in late sown wheat (Triticum aestivum L.). Journal of Pharmacognosy and Phytochemistry. 2017;6(4):167-173.

Singh AK, Singh SB, Singh AP, Sharma AK. Genetic variability, character association and path analysis for seed yield and its component characters in wheat (Triticum aestivum L) under rainfed environment. Indian Journal of Agricultural Research. 2012;46(1):48-53.

Verma SP, Pathak VN, Verma OP. Interrelationship between yield and its contributing traits in wheat (Triticum aestivum L.). International Journal of Current Microbiology and Applied Sciences. 2019;8(2):3209-3215.

Mohanty S, Mukherjee S, Mukhopadhyaya SK, Dash AP. Genetic variability, correlation and path analysis of bread wheat (Triticum aestivum L.) genotypes under terminal heat stress. International Journal of Bio-resource and Stress Management. 2016;7(6):1232-1238.

Lamara A, Fellahi ZEA, Hannachi A, Benniou R. Assessing the phenotypic variation, heritability and genetic advance in bread wheat (Triticum aestivum L.) candidate lines grown under rainfed semi-arid region of Algeria. Revista Facultad Nacional de Agronomía Medellín. 2022;75(3):10107-10118.

Shamuyarira KW, Shimelis H, Figlan S, Chaplot V. Path coefficient and principal component analyses for biomass allocation, drought tolerance and carbon sequestration potential in wheat. Plants. 2022;11(11):1407.

Sabit Z, Yadav B, Rai PK. Genetic variability, correlation and path analysis for yield and its components in f5 generation of bread wheat (Triticum aestivum L.). Journal of Pharmacognosy and Phytochemistry. 2017;6(4):680-687.