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:: Volume 7, Issue 2 (2021) ::
pgr 2021, 7(2): 145-162 Back to browse issues page
Evaluation of Genetic Diversity and Estimation of Heritability and Genetic Correlation Using REML for Different Traits in Grass Pea (Lathyrus sativus L.) Genotypes
Ali Dowlatshah , Ahmad Ismaili * , Hadi Ahmadi , Karim Khademi , Daryoush Goudarzi
Department of Plant Production and Genetic Engineering, Faculty of Agriculture, Lorestan University, Khorramabad, Iran , ismaili.a@lu.ac.ir
Abstract:   (5688 Views)
Plant breeding researches is based on genetic diversity and evaluation of genetic diversity is also one of the most important steps in introduction of new cultivars. In this study, genetic diversity of 25 grass pea genotypes was studied based on randomized complete block design with three replicates in Khorramabad (Iran). Analysis of variance showed significant differences among genotypes for most of traits. Mean comparison showed that genotype IF1312 with the highest grain yield and genotypes IF1332 and IF471 with the highest dry and fresh forage yield had the best yield. Principal component analysis showed that the first 3 factors explained 62.64% of total variance. Based on cluster analysis, genotypes IF1307, IF1872 and IF471 with the highest grain and forage yield are belonged to one cluster. REML method was used to estimate genetic correlation and heritability of different traits. The highest amount of heritability (0.87) was estimated for number of immature grains and the least heritability (0.10) was estimated for total dry weight. Grain yield had a high and positive genetic correlation with forage yield, and biomass, percentage of leaf and dry forage yield also had a high and positive genetic correlation with fresh forage yield. Totally, genotype IF1307 had the best performance for most of traits compared to the other genotypes and had an acceptable forage yield among genotypes.
Keywords: Grass pea, Cluster analysis, Principal components analysis, Heritability
Full-Text [PDF 900 kb]   (1177 Downloads)    
Type of Study: Research | Subject: Population genetics
Accepted: 2021/03/19
References
1. Abate, A., Mekbib, F., Fikre, A. and Seid, A. (2018). Genetic variability and heritability in ethiopian grasspea (Lathyrus sativus L.) accessions. Crop Sciense, 6(2): 63-103 (In Persian).
2. Bhatt, G.M. (1973). Significance of path coefficient analysis determining the nature of character association. Euphytica, 22: 338-343.
3. Boukecha, D., Laouare, M., Mekliche Hanif, L. and Harek, D. (2018). Drought tolerance in some population of grasspea (Lathyrus sativus L.). Legume Research-An International Journal, 41(1): 12-19.
4. Choudhary, A.K., Pandey, P. and Sendi Kumar, M. (2016). Tailored response to simultaneous drought stress and pathogen infection in plants. Drought Stress Tolerance in Plants, 1(10): 427-438.
5. Cocks, P., Siddique, K. and Hambury, C. (1986). Lathyrus A New Grain Legume. A Report For The Rural Industries Research And Development Corporation. Rural Industries Research & Development Corporation, Wagga Wagga, AU.
6. Danesh Gylvaie, M., Karimzadeh, Q. and Aghakhani, M. (2011). Evaluation of genetic diversity and principal components analysis for variant traits in genotypes grass pea. Journal of Plant Science, 2: 254-243.
7. Ducke, J.A. (1981). Handbook of Legumes of World Economic Importance. Plenum Press, New York, USA. [DOI:10.1007/978-1-4684-8151-8]
8. Ebrahimi, S., Rezaei Nejad, A., Ismaili, A. and Karami, F. (2015). Physiological and phenological variability and heritability of some apricot (Prunus armeniaca L.) cultivars and genotypes. Plant Genetic Researches, 1(2): 55-70 (In Persian).
9. Fakhre Vaezi, A. (2003). Final report checks compatibility international varieties of grass pea (Lathyrus sativa) under dry land conditions, 80: 554 (In Persian).
10. Farsi, M. and Bagheri, A. (1998). Principles of Plant Breeding. Publications University of Ferdowsi, Mashhad, IR (In Persian).
11. Gutierrez, J.F., Vaquero, F. and Vences, F.J. (1994). Allopolyploid vs. autotetraploid origins in the genus Lathyrus (Leguminosae). Heredity, 73: 29-40.
12. Holland, J.B. (2002). Estimating Genotypic Correlations and Their Standard Errors Using Multivariate Restricted Maximum Likelihood Estimation with SAS Proc MIXED. Reproduced from Crop Science. Published by Crop Science Society of America, New York, USA.
13. Jackson, M.T. and Yunus, A.G. (1984). Variation in the grasspea (Lathyrus sativus L.) and wild specie. Euphytica, 33: 549-559.
14. Kamdi, S.R., Bhasme, S.P., Neharkar, P.S., Bhagat, G.J., Kadu, P.R. and Karhale, S.S. (2015). Correlation, genetic variability and heritability studies in selected local collections of grass pea (Lathyrus sativus L.). International Journal of Tropical Agriculture, 2: 1445-1448.
15. Karimi, E. (1989). Breeding Forage Plants. Tehran University Press, Tehran, IR (in Persian).
16. Khawaja, H.I.T., Sybenga, J. and Ellis, J.R. (1998). Meiosis in aneuploid of tetraploid Lathyrus odoratus and L. pratensis. Heredity, 129: 53-57.
17. Lazanyi, J. (2000). Grass pea and green manure effects in the great hungarian plain. Lathyrus Lathyrism Newsletter, 1: 28-30.
18. Lynch, M. and Walsh. B. (1998). Genetics and Analysis of Quantitative Traits. Sinauer, Sunderland, MA.
19. Muehlbauer, F.J. and Tullu, A. (1997). NewCROP Fact SHEET-Lathyrus sativus L. Available on: http://www.hort.purdue.edu/newcrop/cropfactsheets/grasspea.html. Last access 27 April 2010.
20. Nandini Devi, K., Athokpam H.S., Lhungdim, J., Lenin Singh, K. and Dorendro Singh, A. (2018). Response of grasspea (Lathyrus sativus L.) to row spacing and phosphorus levels under rainfed conditions of Manipur, India. Indian Journal of Agriculture Research Communication Center, 38(2):131-134.
21. Neyestani, E. and Rabbani Nasab, H. (2014). Comparison of planting dates Lathyrus Cicera. 1st International and 13th Iranian Crop Science Congress And 3rd Seed Science and Technology Conference. Tehran, Iran (In Persian).
22. Parihar, A.K., Dixit, G.P. and Singh, D. (2013). Multivariate analysis of various agronomic traits in grass pea (Lathyrus spp) germplasm. Indian Journal of Agricultural Sciences, 83(5): 570-575.
23. Rahman, M.M., Kumar, J., Rahaman, M. A. and Ali Afzal, M. (1995). Natural out crossings Lathyrus sativus L. Indian Journal of Genetics, 55: 204-207.
24. Rahman, S., Molla, M.R., Nozim-ud-Dowla, M.A.N., Rasul, M.G. and Main, M.A.K. (2010). Assessment of genetic diversity in grass pea (Lathyrus sativus L.) genotype using morphological markers. Academic Journal of Plant Sciences, 55: 85-91.
25. Rencher, A.C. (2003). Methods of Multivariate Analysis. John Wiley & Sons, Hoboken, New Jersey, USA.
26. Salavati Meybodi, M.R., Ranjbar, G.A., Kazemitabar, S.K. and Najafi Zarrini, H. (2017). Investigation of heritability and genetic diversity among tobacco genotypes using ISSR markers and morpho-physiological traits. Plant Genetic Researches, 4(1): 75-88 (In Persian).
27. Sarwara, C.D.M., Sarhar, A., Murshed, A.N.M.M. and Malik, M.A. (1995). Variation in natural population of grass pea. In: Yusuf, H.K.M. and Lambein, F., Eds., Lathyrus Sativus and Human Lathyrism: Progress and Prospects, pp. 161-164. The Proceeding 2th Int. colloq. Lathyrus/Lathyrism, University of Dhaka, Dhaka, BD.
28. Tadesse, W. and Bekele, E. (2003). Variation and association of morphological and biochemical characters in grass pea (Lathyrus sativus L.). Euphytica, 130: 315-324.
29. Vahabi, A.A., Arzani, A. and Solouki M. (2005). Evaluation of phenotypic and genetic correlations and path coefficient analysis for seed and forage yield of grass pea. The1st Iranian Pulse Crops Conferenc, University of Ferdowsi, Mashhad, Iran (In Persian).
30. Valizadeh, S., Ismaili, A., Ahmadi, H., Akbarpour, O.A., Bajalan, B. and Amini, A. (2020). Use of restricted maximum likelihood approach for estimation of genotypic correlation and heritability in bread wheat (Triticum aestivum L.) under water deficit stress. Plant Genetic Researches, 6(2):183-200 (In Persian).
31. VazPatto, M.C., Skiba, B., Pang, E.C.K., Ochatt, S.J., Lambein, F. and Rubiales, D. (2006). Lathyrus improvement for resistance against biotic and abiotic stresses: From classical breeding to marker assisted selection. Euphytica, 147: 133-147.
32. Verbeke, G. and Molenberghs, G. (2000). Linear Mixed Models for Longitudinal Data. Springer Series in Statistics, Springer-Verlag, New York, USA.
33. Yadov, C.R. (1995). Genetic Evaluation and Varietal Improvement of Grasspea inn Nepal. In: Arora, R.K., Mathur, P.N., Riley, K.W. and Adham, Y. Eds., Lathyrus Genetic Resources in Asia. Proceedings of a Regional Workshop, pp. 21-27. Indira Gandhi Agricultural University, Raipur, IPGRI Office for South Asia, New Delhi, IND.
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Dowlatshah A, Ismaili A, Ahmadi H, Khademi K, Goudarzi D. Evaluation of Genetic Diversity and Estimation of Heritability and Genetic Correlation Using REML for Different Traits in Grass Pea (Lathyrus sativus L.) Genotypes. pgr 2021; 7 (2) :145-162
URL: http://pgr.lu.ac.ir/article-1-223-en.html


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Volume 7, Issue 2 (2021) Back to browse issues page
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