Phenological and Morphological Analysis of Elite Wheat [Triticum aestivum L.] Genotypes under Normal Irrigated Conditions

Binod Panthi, Priyanka Kunwar, Mukti Ram Poudel

Abstract


Phenological and morphological traits, environmental conditions, and management practices influence the grain yield of bread wheat. Twenty elite wheat genotypes were evaluated under irrigated conditions using an alpha lattice design with two replications at IAAS, Paklihawa, Nepal, in 2021–2022 to identify key yield-attributing traits. Among 11 phenological and morphological traits, days to booting (DTB), plant height (Ph), spike length (SL), and number of spikelets per spike (NSPS) showed high heritability and genetic advance. Phenotypic correlation revealed significant (P<0.01) negative associations of grain yield (GY) with DTB (-0.434), days to heading (DTH, -0.411), and Ph (-0.411). Principal component and biplot analyses highlighted DTB, DTH, days to anthesis (DTA), and Ph as key traits negatively correlated with GY. Path analysis demonstrated a direct negative effect of DTB (-0.745) and Ph (-0.336) on GY, while DTH (0.131) and DTA (0.104) had positive effects, offset by DTB’s indirect influence. Thus, early booting and shorter plant height are recommended for achieving high yields. Cluster analysis grouped genotypes into five clusters, with cluster 2 (BL 4407, BL 4919, NL 1346) and cluster 5 (NL 1350) identified as promising candidates for developing dwarf and earlybooting varieties in irrigation-based breeding programs respectively.


Keywords


Dwarf; Earlier; Food Security; Heritability; Wheat

Full Text:

PDF

References


Ahmad, T., Kumar, A., Pandey, D., & Prasad, B. (2018). Correlation and path coefficient analysis for yield and its attributing traits in bread wheat (Triticum aestivum L. em Thell). Journal of Applied and Natural Science, 10(4), 1078–1084. https://doi.org/10.31018/jans.v10i4.1867

Akter, N., & Rafiqul Islam, M. (2017). Heat stress effects and management in wheat. A review. Agronomy for Sustainable Development, 37(5), 37. https://doi.org/10.1007/s13593-017-0443-9

Arya, V. K., Singh, J., Kumar, L., Kumar, R., Kumar, P., & Chand, P. (2017). Genetic variability and diversity analysis for yield and its components in wheat (Triticum aestivum L.). Indian Journal of Agricultural Research, 51(2), 128–134. https://doi.org/10.0.73.117/ijare.v0iOF.7634

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

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

Bayisa, T., Tefera, H., & Letta, T. (2020). Genetic variability, heritability and genetic advance among bread wheat genotypes at southeastern Ethiopia. Agriculture, Forestry and Fisheries, 9(4), 128. https://doi.org/10.11648/j.aff.20200904.15

Burton, G. W., & DeVane, E. H. (1953). Estimating Heritability in Tall Fescue (Festuca Arundinacea) from Replicated Clonal Material 1 . Agronomy Journal, 45(10), 478–481. https://doi.org/10.2134/AGRONJ1953.00021962004500100005X

Chen, W., Sun, D., Yan, X., Li, R., Wang, S., Shi, Y., & Jing, R. (2019). QTL analysis of wheat kernel traits, and genetic effects of qKW-6A on kernel width. Euphytica, 215(2), 11. https://doi.org/10.1007/S10681-018-2333-X

Dabi, A., Mekbib, F., & Desalegn, T. (2016). Estimation of genetic and phenotypic correlation coefficients and path analysis of yield and yield contributing traits of bread wheat (Triticum aestivum L.) genotypes. International Journal of Natural Resource Ecology and Management, 1(4), 145-154. https://www.sciencepublishinggroup.com/article/10.11648/j.ijnrem.20160104.11

Devesh, P., Moitra, P. K., Shukla, R. S., Shukla, S. S., Pandey, S., & Arya, G. (2018). Analysis of variability, heritability, and genetic advance of yield, its components, and quality traits in wheat. International Journal of Agriculture, Environment, and Biotechnology, Special Issue 2018, 855-859.

Du, Y., Chen, L., Wang, Y., Yang, Z., Saeed, I., Daoura, B. G., & Hu, Y. G. (2018). The combination of dwarfing genes Rht4 and Rht8 reduced plant height, and improved yield traits of rainfed bread wheat (Triticum aestivum L.). Field Crops Research, 215, 149–155. https://doi.org/10.1016/J.FCR.2017.10.015

Dwivedi, S. K., Basu, S., Kumar, S., Kumar, G., Prakash, V., Kumar, S., Mishra, J. S., Bhatt, B. P., Malviya, N., Singh, G. P., & Arora, A. (2017). Heat stress induced impairment of starch mobilisation regulates pollen viability and grain yield in wheat: Study in Eastern Indo-Gangetic Plains. Field Crops Research, 206, 106–114. https://doi.org/10.1016/j.fcr.2017.03.006

FAO. (2019). The state and food security and nutrition in the world 2019. Safeguardin against economic slowdowns and downturns. Rome: FAO.

FAO. (2022). The State of Food Security and Nutrition in the World 2022. In The State of Food Security and Nutrition in the World 2022. https://doi.org/10.4060/cc0639en

FAOSTAT. (2023). Crops and livestock products. Food and Agriculture Organization of the United Nations. https://www.fao.org/faostat/en/#data/QCL

Farooq, M., Bramley, H., Palta, J. A., & Siddique, K. H. M. (2011). Heat stress in wheat during reproductive and grain-filling phases. Critical Reviews in Plant Sciences, 30(6), 491–507. https://doi.org/10.1080/07352689.2011.615687

Galton, F. (1890). Kinship and correlation. The North American Review, 150(401), 419–431.

Gosling, E., Knoke, T., Reith, E., Reyes Cáceres, A., & Paul, C. (2021). Which socio-economic conditions drive the selection of agroforestry at the forest frontier? Environmental Management, 67(6), 1119–1136. https://doi.org/10.1007/s00267-021-01439-0

GPS. (2023). GPS coordinates of Bhairāhawā, Nepal. Latitude: 27.5000 Longitude: 83.4500. https://latitude.to/map/np/nepal/cities/bhairahawa

Grover, G., Sharma, A., Gill, H. S., Srivastava, P., & Bains, N. S. (2018). Rht8 gene as an alternate dwarfing gene in elite Indian spring wheat cultivars. PLoS ONE, 13(6), e0199330. https://doi.org/10.1371/JOURNAL.PONE.0199330

Hassan, M. U., Chattha, M. U., Khan, I., Chattha, M. B., Barbanti, L., Aamer, M., Iqbal, M. M., Nawaz, M., Mahmood, A., & Ali, A. (2021). Heat stress in cultivated plants: Nature, impact, mechanisms, and mitigation strategies—A review. Plant Biosystems-An International Journal Dealing with All Aspects of Plant Biology, 155(2), 211–234. https://doi.org/10.1080/11263504.2020.1727987

Johnson, H. W., Robinson, H. F., & Comstock, R. E. (1955). Genotypic and phenotypic correlations in soybeans and their implications in selection. Agronomy Journal, 47(10), 477–483.

Kajla, M., Yadav, V. K., Chhokar, R. S., & Sharma, R. K. (2015). Management practices to mitigate the impact of high temperatures on wheat. Journal of Wheat Research, 7(1), 1–12. https://epubs.icar.org.in/index.php/JWR/article/view/46814

Khan, N., Khan, N., & Naqvi, F. N. (2011). Heritability of Morphological Traits in Bread Wheat Advanced Lines Under Irrigated and Non-Irrigated Conditions. Asian Journal of Agricultural Sciences, 3(3), 215–222. https://www.researchgate.net/publication/266291566

Khobra, R., Sareen, S., Meena, B. K., Kumar, A., Tiwari, V., & Singh, G. P. (2019). Exploring the traits for lodging tolerance in wheat genotypes: A review. Physiology and Molecular Biology of Plants, 25(3), 589–600. https://doi.org/10.1007/s12298-018-0629-x

Mecha, B., Alamerew, S., Assefa, A., Assefa, E., & Dutamo, D. (2017). Correlation and path coefficient studies of yield and yield associated traits in bread wheat (Triticum aestivum L.) genotypes. Advances in Plants & Agriculture Research, 6(5). https://doi.org/10.15406/apar.2017.06.00226

Ministry of Health, Nepal; New ERA; & ICF. (2017). Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: Ministry of Health, Nepal. https://dhsprogram.com/pubs/pdf/FR336/FR336.pdf

Mladenov, V., Banjac, B., Dimitrijević, M., Latković, D., & Jocković, B. (2016). Phenotypic analysis of agronomic traits in bread wheat. Contemporary Agriculture, 65(3–4), 32–38. https://doi.org/10.1515/contagri-2016-0015

MoALD, 2021. (2021). Statistical Information On Nepalese Agriculture (2077/78). In Publications of the Nepal in Data Portal (Vol. 73). https://moald.gov.np/wp-content/uploads/2023/08/Statistical-Information-on-Nepalese-Agriculture-2078-79-2021-22.pdf

MOE. (2020). Ministry of Energy, Water Resources and Irrigation :: Government of Nepal. Government of Nepal, Ministry of Energy, Water Resources and Irrigation, November.https://moewri.gov.np/

MOF. (2022). Economic Survey 2020/21 Government of Nepal Ministry of Finance.

Mottaleb, K. A., Rahut, D. B., Kruseman, G., & Erenstein, O. (2018). Changing food consumption of households in developing countries: A Bangladesh case. Journal of International Food and Agribusiness Marketing, 30(2), 156–174. https://doi.org/10.1080/08974438.2017.1402727

Mukherjee, A., Wang, S. Y. S., & Promchote, P. (2019). Examination of the climate factors that reduced wheat yield in northwest India during the 2000s. Water (Switzerland), 11(2). https://doi.org/10.3390/W11020343

Nawaz, A., Farooq, M., Cheema, S. A., & Wahid, A. (2013). Differential response of wheat cultivars to terminal heat stress. International Journal of Agriculture and Biology, 15(6), 1354–1358. https://www.cabidigitallibrary.org/doi/pdf/10.5555/20143049668

Panthi, B. (2021). Present Status, Importance and Challenges of Neglected and Underutilized Crops Species (Nucs) in Nepal. Socio Economy and Policy Studies, 1(2), 61–65. https://doi.org/10.26480/seps.02.2021.61.65

Perdomo, J. A., Capó-Bauçà, S., Carmo-Silva, E., & Galmés, J. (2017). Rubisco and rubisco activase play an important role in the biochemical limitations of photosynthesis in rice, wheat, and maize under high temperature and water deficit. Frontiers in Plant Science, 8. https://doi.org/10.3389/fpls.2017.00490

Pokhrel, S. (2020). Food availability and consumption in relation to developing strategies for sustained production and supply in Nepal. Journal of Agriculture and Forestry University, 4(1), 13–28. https://doi.org/10.3126/jafu.v4i1.47024

Poudel, M. R., Poudel, P. B., Puri, R. R., & Paudel, H. K. (2021). Variability, correlation and path coefficient analysis for agro-morphological traits in wheat genotypes (Triticum aestivum L.) under normal and heat stress conditions. International Journal of Applied Sciences and Biotechnology, 9(1), 65–74. https://doi.org/10.3126/ijasbt.v9i1.35985

Schütz, H., Jansen, M., & Verhoff, M. A. (2011). Vom alkohol zum liquid ecstasy (GHB) - Ein überblick über alte und moderne K.-o.-Mittel - Teil 3: γ-Hydroxybuttersäure (GHB, “liquid ecstasy”). Archiv fur Kriminologie, 228(5-6), 151-159.

Sharma, I., Tyagi, B. S., Singh, G., Venkatesh, K., & Gupta, O. P. (2015). Enhancing wheat production- A global perspective. The Indian Journal of Agricultural Sciences, 85(1), 03–13. https://doi.org/10.56093/ijas.v85i1.45935

Shiferaw, B., Smale, M., Braun, H.-J., Duveiller, E., Reynolds, M., & Muricho, G. (2013). Crops that feed the world 10. Past successes and future challenges to the role played by wheat in global food security. Food Security, 5(3), 291–317. https://doi.org/10.1007/s12571-013-0263-y

Subramanian, A., Raj, R. N., & Elangovan, M. (2019). Genetic variability and multivariate analysis in sorghum (Sorghum bicolour) under sodic soil conditions. Electronic Journal of Plant Breeding, 10(4), 1405–1414.

Tadesse, W., Sanchez-Garcia, M., Assefa, S. G., Amri, A., Bishaw, Z., Ogbonnaya, F. C., & Baum, M. (2019). Genetic gains in wheat breeding and its role in feeding the world. Crop Breeding, Genetics and Genomics, 1, e190005. https://doi.org/10.20900/cbgg20190005

Ulfat, A., Shokat, S., Li, X., Fang, L., Großkinsky, D. K., Majid, S. A., Roitsch, T., & Liu, F. (2021). Elevated carbon dioxide alleviates the negative impact of drought on wheat by modulating plant metabolism and physiology. Agricultural Water Management, 250(December 2020), 1–10. https://doi.org/10.1016/j.agwat.2021.106804

Wright, S. (1934). The method of path coefficients. The Annals of Mathematical Statistics, 5(3), 161–215. https://doi.org/10.1214/aoms/1177732676

Xie, Q. (2015). Physiological and genetic determination of yield and yield components in a bread wheat × spelt mapping population [PhD thesis, University of Nottingham]. https://eprints.nottingham.ac.uk/28998/

Yan, W., & Rajcan, I. (2002). Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science, 42(1), 11–20. https://doi.org/10.2135/cropsci2002.1100

Zakirullah, S., Yadav, B., & Rai, P. K. (2017). 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, 6(4), 680–687. https://www.phytojournal.com/archives/2017.v6.i4.1415/genetic-variability-correlation-and-path-analysis-for-yield-and-its-components-in-f5-generation-of-bread-wheat-triticum-aestivum-l




DOI: http://doi.org/10.17503/agrivita.v47i2.4480

Copyright (c) 2025 The Author(s)

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.