Genetic Variability and Path Coefficient Analysis in Advanced Bread Wheat Lines Using Alpha Lattice Design
DOI:
https://doi.org/10.70749/ijbr.v2i02.230Keywords:
Correlations, Morphological, Wheat, PhonologicalAbstract
In 2022-2024 at the Cereal Crops Research Institute, Nowshera, this study was carried out. Sixty-four different genotypes of wheat were evaluated. An experiment based on two replications of alpha lattice design was conducted for various phonological and morphological characteristics. Out of the morpho physiologic features, the highest grain yield was recorded in MPG09 at 5784 kg ha-1, followed by MPG39 at 5777 kg ha-1 and MPG24 at 5496 kg ha-1. The highest biological yield was recorded in MPG40 at 15031.36 kg ha-1. All these features of spring wheat show high positive correlations with each other, as demonstrated by results of this study. Moreover, days to maturity were closely related to plant height, with rg = 0.30, P = 0.05, and flag leaf area, with rg = 0.31, P = 0.05. Plant height showed very strong correlations with flag leaf area, spikelets spike-1, and thousand-grain weight with values of rp = 0.33, P = 0.01; rp = 0.35, P = 0.01; and rp = 0.31, P = 0.05, respectively. Similar positive genetic correlations were recorded for peduncle length with rg = 0.40, P = 0.01, for spikelets spike-1 with rg = 0.75, P = 0.01, and for thousand-grain weight with rg = 0.69, P = 0.01. These findings show that the traits of maturity, plant height and most of the yield variables are interdependent and very important for any crop improvement program. As a statistical method, the path coefficient analysis is used. The variables of 1000-grain weight, tillers per square meter, and peduncle length revealed individual as well as combined effects on grain yield. However, plant height, biological yield, and flag leaf area showed decent indirect effect on grain production. Besides, days to maturity and 1000-grain weight variables had positive indirect effects on the time taken till heading. Similarly, indirect pathways through days to maturity were positive for grain yield: 1000-grain weight added 0.30, tillers per square meter added 0.10, and days to heading added 0.08. The indirect effects of some other traits, such as the peduncle length, spikelets per spike, and flag leaf size, also exerted an effect on grain production. Thus, wheat genotypes MPG09 and MPG39 with higher production can be considered for use in future breeding programs to increase wheat productivity
References
Chauhan, S., Gupta, A., Tyagi, S. D., & Singh, S. (2023). Genetic Variability, Heritability and Genetic Advance Analysis in Bread Wheat (Triticum aestivum L.) Genotypes. International Journal of Plant & Soil Science, 35(19), 164–172. https://doi.org/10.9734/ijpss/2023/v35i193538
Haile, T. (2022). Genetic variability, divergence, and path coefficient analysis of yield and yield related traits of Durum wheat (Triticum turgidum l. var. Durum) genotypes at Jamma district, south wollo zone, amhara region, Ethiopia. Journal of Plant Science and Phytopathology, 6(2), 075–083. https://doi.org/10.29328/journal.jpsp.1001078
Crespo-Herrera, L. A., Crossa, J., Huerta-Espino, J., Vargas, M., Mondal, S., Velu, G., Payne, T. S., Braun, H., & Singh, R. P. (2018). Genetic Gains for Grain Yield in CIMMYT’s Semi‐Arid Wheat Yield Trials Grown in Suboptimal Environments. Crop Science, 58(5), 1890–1898. https://doi.org/10.2135/cropsci2018.01.0017
Government of Pakistan., (2019). Economic survey of Pakistan.
Ullah, N., Ullah, H., Afridi, K., Alam, M., Jadoon, S. A., Khan, W. U., Ahmad, M., & Uddin, H. (2018). Genetic variability, heritability and correlation analysis among morphological and yield traits in wheat advanced lines. Biyolojik Çeşitlilik ve Koruma, 11(1), 166–180. https://dergipark.org.tr/en/pub/biodicon/issue/55718/761852
Baye, A., Berihun, B., Bantayehu, M., & 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 & Agriculture, 6(1), 1752603. https://doi.org/10.1080/23311932.2020.1752603
Kumar, R., Singh, S. K., Bagare, V., Singh, A., Pathak, V. N., Yaday, V., & Kumar, R. (2023). Path Coefficient Analysis for Yield and Its Attributing Traits in Wheat (Triticum aestivum L.). International Journal of Plant & Soil Science, 35(20), 651–658. https://doi.org/10.9734/ijpss/2023/v35i203849
Gerema, G., Lule, D., Lemessa, F., & Mekonnen, T. (2020). Morphological characterization and genetic analysis in bread wheat germplasm: A combined study of heritability, genetic variance, genetic divergence and association of characters. Agricultural Science and Technology, 12(4), 301–311. https://doi.org/10.15547/ast.2020.04.048
Seyoum, E. G., & Sisay, A. (2021). Genetic variability, heritability and genetic advance study in bread wheat genotypes (Triticum aestivum L.). Advances in Bioscience and Bioengineering, 9(3), 81-86.
Rajput, R. S., & Kandalkar, V. (2018). Combining ability and heterosis for grain yield and its attributing traits in bread wheat (Triticum aestivum L.). Journal of Pharmacognosy and Phytochemistry, 7(2), 113–119.
Ahmad, A., Iqbal, M. N., Anjum, M. M., Khan, B., Khan, S., Ullah, S., Ullah, R., & Afridi, M. Y. (2023). Genetic Attributes and Correlation Studies for Important Traits in Wheat Under Irrigated and Rainfed Conditions. Gesunde Pflanzen, 75(6), 2387–2400. https://doi.org/10.1007/s10343-023-00884-7
Ayer, D., Sharma, A., Ojha, B., Paudel, A., & Dhakal, K. (2017). Correlation and path coefficient analysis in advanced wheat genotypes. SAARC Journal of Agriculture, 15(1), 1–12. https://doi.org/10.3329/sja.v15i1.33155
Bhatt, B., Swati, N., Jaiswal, J. P., Khan, R., Joshi, S., & Chaudhary, D. (2023). Assessment of Genetic Variability for Morpho-physiological and Yield Traits in Bread Wheat (Triticum aestivum L.). International Journal of Environment and Climate Change, 13(11), 2283–2291. https://doi.org/10.9734/ijecc/2023/v13i113390
Prasad, J., Dasora, A., Chauhan, D., Rizzardi, D. A., Bangarwa, S. K., & Nesara, K. (2021). Genetic variability, heritability and genetic advance in bread wheat (Triticum aestivum L.) genotypes. Genetics and Molecular Research, 20(2), 1-6. http://dx.doi.org/10.4238/gmr19419
Nukasani, V., Potdukhe, N. R., Bharad, S., Deshmukh, S., & Shinde, S. M. (2013). Genetic variability, correlation and path analysis in wheat. Journal of Cereal Research, 5(2).
Sabaghnia, N., Janmohammadi, M., Bashiri, A., & Asghari-Shirghan, R. (2014). Genetic variation of several bread wheat (Triticum aestivum L.) genotypes based on some morphological traits. Agronomy Science, 69(1), 44–54. https://doi.org/10.24326/as.2014.1.5
Fikre, G., Alamerew, S., & Tadesse, Z. (2015). Genetic Variability Studies in Bread Wheat (Triticum Aestivum L.) Genotypes at Kulumsa Agricultural Research Center, South East Ethiopia. Journal of Biology Agriculture and Healthcare, 5(7), 89–98.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Indus Journal of Bioscience Research
This work is licensed under a Creative Commons Attribution 4.0 International License.