Correlation, heritability and genetic distance analysis in bread wheat (Triticum aestivum L.) genotypes

Different genetic analyses for the exploitation of bread wheat genotypes

Authors

  • Khushal Khan Bazai Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam, Sindh, Pakistan
  • Munaiza Baloch Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam, Sindh, Pakistan
  • Jay Kumar Sootaher Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam, Sindh, Pakistan
  • Tarique Ahmed Baloch Directorate of Agriculture Research (Dates), Kech, Turbat, Balochistan, Pakistan
  • Muhammad Naeem Directorate of Agriculture Research (Dates), Kech, Turbat, Balochistan, Pakistan
  • Tanweer Fatah Abro Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam, Sindh, Pakistan
  • Muhammad Saleem Chang Department of Agronomy,Subcampus Umerkot, Sindh Agriculture University, Tandojam, Sindh, Pakistan
  • Kirshan Kumar Menghwar Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam, Sindh, Pakistan

Keywords:

Correlation, Heritability, Genetic distance, Bread wheat, Genotypes

Abstract

The current study was conducted for the estimation of correlation, heritability and genetic distance in eight wheat genotypes in RCBD having three replications at the Botanical Garden, Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam, Sindh, Pakistan during the crop season of 2017-18. The mean squares displayed that majority of the characters exposed highly significant differences in all the tested genotypes, showing that exploited wheat genotypes retain valuable genetic resources, hence may be used in future breeding programs. Considering the mean performance of wheat genotypes, results revealed that the genotype TD-1 performed excellently for all the attributes, but other genotypes like AS-2002, Hamal, Abadgar and Moomal performed normally. These genotypes tend to have promising genetic potential, therefore preference should be given in upcoming breeding programs. Correlation exhibited very beneficial results in which plant height, tillers plant-1, grains spike-1, spikelets spike-1 and seed index were associated positively and highly significantly with grain yield plant-1 with the correlation coefficient of r = 0.6694**, r = 0.7522**, r = 0.7550**, r = 0.6247** and r = 0.6348**), But these yield related traits also manifested good associations with the rest of the characteristics which confirmed a lot of genetic variability present in these genotypes. Heritability displayed the best outcomes in the genotypes in which high heritability estimates were observed for plant height (h2= 98.70%), tillers plant-1 (h2=99.74%), grains spike-1 (h2=99.54%), spikelets spike-1 (h2 =70.53%), seed index (h2= 90.68%) and grain yield plant-1 (h2=90.15%). High heritability values for these characteristics manifested that the variation detected was more under genetic control than under environmental control which expressed the influence of additive gene action. The results regarding genetic distance demonstrated that the greater genetic distance of 51.801 was found between Abadgar and Moomal, followed by Abadgar and TD-1 (49.496), Moomal and PBG-ST03 (47.804), Moomal and TD-1 (43.162), Moomal and KKK (42.855), TD-1 and PBG-ST03 (42.230), Moomal and AS-2002 (41.719), Moomal and Hamal (40.181) and Moomal and Imdad (39.701).

References

G. Hammad, M. Kashif, M. Munawar, U. Ijaz, M. Muzaffar, M.M. Raza, and M. Abdullah. Genetic analysis of quantitative yield related traits in spring wheat (Triticum aestivum L.). American-Eurasian Journal of Agricultural and Environmental Sciences 13: 1239-1245 (2013).

M. Abbas, A.D. Sheikh, M.S. Hazor, and N. Shagufta. Factor responsible for low wheat yield productivity in Punjab. Pakistan Journal of Agricultural Sciences 42: 79-82 (2015).

K. Jons, and Amos. Environmental effect on the quality of different wheat genotypes quantitative variation of storage proteins. European Journal of Agriculture 1: 47-64 (2010).

D. Sehgal, P. Vikram, C.P. Sansaloni, C. Ortiz, C.S. Pierre, T. Payne, M. Ellis, A. Amri, C.D. Petroli, P. Wenzl, and S. Singh. Exploring and mobilizing the gene bank biodiversity for wheat improvement. PLoS ONE 10: 112-122 (2015).

United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects: The 2015 Revision, Key Findings and Advance Tables. Working Paper No. ESA/P/WP.241 (2015).

FAO. FAOSTAT, FAO, Rome, Italy. 1-2 (2018).

M. Zameer, S. Mahmood, Z. Mushtaq, B. Tabasum, and Q. Ali. Detection of bacterial load in drinking water samples by 16s rRNA ribotyping and RAPD analysis. Advancements in Life Sciences 2: 135-141 (2015).

G.M. Subhani, and M.A. Chowdhry. Correlation and path coefficient analysis in bread wheat under drought stress and normal conditions. Pakistan Journal of Biological Sciences 3: 72-77 (2013).

S.A. Mohammadi, and B.M. Prasanna. Analyses of genetic diversity in crop plants Salient statistics tools and considerations. Crop Sciences 43: 1235-1248 (2003).

E.A. Vieira, F.I.F. de Carvalho, I. Bertan, M.M. Kopp, P. D. Zimmer, G. Benin, J.A.G. da Silva, I. Hartwig, G. Malone, and A.C. de Oliveira. Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers. Genetics and Molecular Biology 30: 392-399 (2007).

K.A. Gomez, and A.A. Gomez. Statistical procedures for agricultural research (2nd ed.). John Wiley and Sons, New York, p. 680 (1984).

R.G.D. Steel, and J.H. Torrie. Principles and Procedures of Statistics: A Biometrical Approach. McGraw-Hill Book Company, New York, p. 633 (1980).

G.W. Snedecor, and W.G. Cochran. Statistical Methods, 7th edition. Iowa State University Press, Ames, Iowa. 507 pp (1980).

E.L. Breese. Biometrical Genetics and Its Application. Eucarpia Congress, Cambridge. p. 135–146 (1972).

P.C. Mahalanobis. On the Generalized Distance in Statistics. Proceedings of the National Institute of Sciences of India, pp 2: 49-55. (1936)

A. Khilwat, Ishaq, I.A. Khalil, I. Shah, Saeed, and N. Ahamd. Genetic potential and variability for morpho-yield traits in durum wheat. International Journal of Farming and Allied Sciences 3: 1206-1212 (2014).

Y. Farhat, A. Razzaq, N.I. Raja, and H.J. Muhammad. Effect of silver, copper and iron nanoparticles on wheat germination. Journal of Agricultural Science 40: 482-490 (2019).

M. Kachi, T.F. Abro, J.K. Sootaher, T.A. Baloch, M.A. Mastoi, T.A. Soomro, K.K. Menghwar, G.M. Jadgal, M.S. Chang, and W.H. Shah. Estimation of heritability and genetic advance in F2 populations of bread wheat (Triticum aestivum L.) genotypes. International Journal of Biosciences 16: 286-295 (2020).

M. Malik, F. Anwar, S.I. Awan, and S. Ali. Genetic behavior and analysis of quantitative traits in five wheat genotypes. Journal of Agriculture and Social Sciences 1: 313-315 (2005).

S. Nazir, A.S. Khan, and Z. Ali. Combining ability analysis for yield and yield contributing traits in bread wheat. Journal of Agriculture and Social Sciences 1: 129-132 (2005).

M. Akbar, M. Saleem, M.Y. Ashraf, A. Husain, F.M. Azhar, and R. Ahmad. Combining ability studies for physiological and grain yield traits in maize at two temperature regimes. Pakistan Journal of Botany 41: 1817-1829 (2009).

M. Asif, M.Y. Mujahid, N.S. Kisana, S.Z. Mustafa, and I. Ahmed. Heritability, genetic variability and path coefficient of some traits in spring wheat. Sarhad Journal of Agriculture 20: 87-91 (2004).

S.I. Awan, M.F.A. Malik, and M. Siddique. Study on seedling traits for drought tolerance in wheat under moisture stress conditions. SAARC. Journal of Agriculture 3: 247-254 (2005).

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

J. Murad, R. Ahmed, M. Azam, M. Saeed, K. Dost, B. Ahmed, M. Naeem, and S. Khan. Phenotypic association and heritability analysis in bread wheat (Triticum aestivum L.) genotypes. International Journal of Biosciences 14(6): 71-77 (2019).

W.K. Kaddem, S. Marker, and G.R. Lavanya. Investigation of genetic variability and correlation analysis of wheat (Triticum aestivum L.) genotypes for grain yield and its Component traits. European Academic Research 2(5): 6529-6538 (2014).

E. Khabiri, A.A. Imani, and H. Shahbazi. Studying the grain yield and yield components in advanced rainfed wheat genotypes. Scholars Research Library. Annals of Biological Research 3(12): 5647-5650 (2012).

M. Zulkiffal, S. Gulnaz, J. Ahmed, A. Rehman,M. Musa, M. Abdullah, M.M. Javaid and J. Salim. Morphological diversity valuation of exotic and advanced lines of bread wheat (Triticum Aestivum L.) via multivariate analysis. International Journal of Agronomy and Agricultural Research 13(2): 149-156 (2018).

M.A. Sial, M.A. Arain, M.H. Naqvi, A.M. Soomro, S. Laghari, N.A. Nizamani, and A. Ali. Seasonal effects and genotypic responses for grain yield in semi-dwarf wheat. Asian Journal of Plant Sciences 2: 1091-1101 (2003).

A. Saifullah, N. Zakir, and M.Y. Mujahid. Estimation of genetic parameters and character association in wheat. Journal of Agricultural and Biological Science 1: 15-18 (2009).

S.A. Mangi, M.A. Sial, B.A. Ansari, M.A. Arain, K.A. Laghari, and A.A. Mirbahar. Heritability studies for grain yield and yield components in F3 segregating generation of spring wheat. Pakistan Journal of Botany 42: 1807-1813 (2010).

A.S. Khan, I. Saleem, and Z. Ali. Heritability of various morphological traits in wheat. International Journal of Agriculture and Biology 5: 138-140 (2003).

N. Ahmed, M.A. Chowdhury, I. Khaliq, and M. Maekawa. The inheritance of yield and yield components of five wheat hybrid populations under drought conditions. Indonesian Journal of Agricultural Science 8: 53-59 (2007).

R. Riaz, and M.A. Chowdhry. Genetic analysis of some economic traits of wheat under drought conditions. Asian Journal of Plant Sciences 2: 790-796 (2003).

S.P. Singh, P.B. Jhang, and D.N. Singh. Genetic variability in polygenic traits in late sown wheat genotypes. Annals of Agricultural Research 22: 34-36 (2001).

A. Yousaf, B. Atta, M. Akhtar, and Z. Lateef. Genetic variability, association and diversity studies in wheat. Pakistan Journal of Botany 40: 2087-2097 (2008).

H. Zeinalzadeh-Tabrizi, K. Haliloglu, M. Ghaffari, and A. Hosseinpour. Assessment of genetic diversity among sunflower genotypes using microsatellite markers. Molecular Biology Research Communications 7: 143-152 (2018).

M. Arshad, S. Jan, S. Awan, S. Azam, S. Khalid, and M.A. Khan. Investigation of genetics divergence in newly developed local sunflower (Helianthus annuus L.) hybrids. Pakistan Journal of Agricultural Research 32: 33-40 (2019).

V.K. Baraiya, P.K. Jagtap, D.N. Hadiya, and H.R. Patel. Genetic divergence in sunflower (Helianthus annus L.). International Journal of Chemical Studies 6: 567-570 (2018).

A. Raza, H. Shaukat, Q. Ali, and M. Habib.Assessment of RAPD markers to analyse the genetic diversity among sunflower (Helianthus annuus L.) genotypes. Turkish Journal of Agriculture, Food Science and Technology 6: 107-111 (2018).

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Published

2020-03-17

How to Cite

Bazai, K. K. ., Baloch, M. ., Sootaher, J. K., Baloch, T. A. ., Naeem, M. ., Fatah Abro, T., Chang, M. S. ., & Menghwar, K. K. . (2020). Correlation, heritability and genetic distance analysis in bread wheat (Triticum aestivum L.) genotypes: Different genetic analyses for the exploitation of bread wheat genotypes. Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences, 57(1), 75–83. Retrieved from https://ppaspk.org/index.php/PPAS-B/article/view/77

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