[Home ] [Archive]   [ فارسی ]  
:: About :: Main :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..



 
..
:: Volume 6, Issue 2 (2020) ::
pgr 2020, 6(2): 111-128 Back to browse issues page
Estimation of Genotypic Correlation and Heritability of some of Traits in Faba Bean Genotypes Using Restricted Maximum Likelihood (REML)
Hossein Astaraki , Peyman Sharifi * , Fatemeh Sheikh
Department of Agronomy and Plant Breeding, Rasht Branch, Islamic Azad University, Rasht, Iran , sharifi@iaurasht.ac.ir
Abstract:   (13476 Views)
In order to estimation genotypic correlation and heritability of some faba bean traits, 26 faba bean genotypes were evaluated in a randomized complete block design with three replications during 2014-16 growing seasons in Agricultural Research Sation of Borujerd located in Lorestan province, Iran. The restricted maximum likelihood (REML) was used to estimate the genotypic and phenotypic correlations, broad sence heritability and genetic gain. Analysis of variance based on least squares and REML indicated significant effect of genotype on days to maturity, plant height, hundred seed weight, pod length and dry seed yield. Genotype×year interactions were significant on all of the traits except of pod length. Borujerd cultivar (G26) and G20 had the highest dry seed yield in both of years. REML results indicated a significant positive genetic correlation between dry seed yield and biological yield and plant height. Also, there were a significant negative phenotypic correlation between dry seed yield and days to maturity, and significant positive phenotypic correlation between dry seed yield and plant height, biological yield and harvest index. So, the selection of early maturing genotypes with a higher yield is achievable and selection can be done to improve the performance of dry seed yield. Cluster analysis indicated variability among genotypes. According to values of broad sence heritability and genetic gain for plant height and high genetic correlation of this trait and dry seed yield; plant height can be used as a suitable trait for improving dry seed yield by selection.
Keywords: Faba bean, Cluster analysis, Restricted Maximum Likelihood, Mixed model, Heritability
Full-Text [PDF 547 kb]   (1562 Downloads)    
Type of Study: Research | Subject: Population genetics
Accepted: 2020/05/6
References
1. Acikgoz, E., Ustun, A., Gul, I., Anlarsal, E., Tekeli, A.S., Nizam, I., Avc1oglu, R., Geren, H., Cakmakci, S., Aydinoglo, B., Yucel, C., Acar, M., Ayan, I., Uzum, A., Bilgili, U., Sincik, M. and Yavuz, M. (2009). Genotype × environment interaction and stability analysis for dry matter and seed yield in field pea (Pisum sativum L.). Spanish Journal of Agricultural Research, 7: 96-106. [DOI:10.5424/sjar/2009071-402]
2. Ahmed, A.M.O., Yagoub, S.O. and Olway, A. (2010). Seed yielding of faba bean (Vicia faba L) cultivars grown in southern Sudan environment (Malakal locality). Journal of Boilogical Sciences, 6(6): 1042-1046.
3. Akbarpour, O. (2017). Application of variance components estimators in plant breeding (Review Article). Plant Genetic Researches, 4(1): 1-24 (In Persian). [DOI:10.29252/pgr.4.1.1]
4. Akbarpour, O., Dehghani, H. and Rousta, M.J. (2015a). Evaluation of salt stress of Iranian wheat germplasm under field conditions. Crop and Pasture Science, 66: 770-781. [DOI:10.1071/CP14286]
5. Akbarpour, O., Dehghani, H., Rousta, M.J., and Amini, A. (2015b). Evaluation of some properties of Iranian wheat genotypes in normal and salt-stressed conditions using restricted maximum likelihood (REML). Iranian Journal of Field Crop Science, 46: 57-69 (In Persian).
6. Al Barri, T. and Shtaya, J.Y. (2013). Phenotypic characterization of faba bean (Vicia faba L.) landraces grown in Palestine. Journal of Agricultural Science, 5: 110-117. [DOI:10.5539/jas.v5n2p110]
7. Al Barri, T.H.M. (2012). Phenotypic characterization of faba bean (Vicia faba L.) landraces grown in Palestine. M.Sc. Thesis, An-Najah National University, Nablus, PS. [DOI:10.5539/jas.v5n2p110]
8. Alghamdi, S.S. (2007). Genetic behavior of some selected faba bean genotypes. African Crop Science Conference Proceedings, 8: 709-714.
9. Azarpour, E., Bidarigh, S., Moraditochaee, M., Khosravi Danesh, R., Bozorgi, H.R. and Bakian, M. (2012). Path coefficient analysis of seed yield and its components in faba bean (Vicia faba L.) under nitrogen and zinc Fertilizer management. International Journal of Agriculture and Crop Sciences, 4(21): 1559-1561.
10. Bakheit, M.A. and Metwali, E.M. (2011). Pedigree selection for seed yield and number of pods per main stem in two segregation populations of Faba bean (Vicia faba L.). World Applied Sciences Journal, 15: 1246-1252.
11. Bora, G.C., Gupta, S.N., Tomer, Y.S. and Singh, S. (1998). Genetic variability, correlation and path analysis in faba bean (Vicia faba). Indian Journal of Agricultural Sciences, 68(4): 212-214.
12. Boshagh, B., Astraki, H. and Pezashkipour, P. (2018). Evaluation of faba bean genotypes using drought tolerance indices and multivariate mtatistical Methods. Journal of Crop Breeding, 10(27): 1-9 (In Persian). [DOI:10.29252/jcb.10.27.1]
13. Chaieb, N., Gonzalez, J.L., Mesas, M.L., Bouslama, M. and Valiente, M. (2011). Polyphenols content and antioxidant capacity of thirteen faba bean (Vicia faba L.) genotypes cultivated in Tunisia. Food Research International, 44: 970-977. [DOI:10.1016/j.foodres.2011.02.026]
14. Chaubey, B.K., Yadav, C.B., Mishra, V.K. and Kumar, K. (2012). Genetic divergence analysis in faba bean (Vicia faba L.). Trend Bioscinces, 5(1): 64-67.
15. Dabholkar, A.R. (1992). Elements of Biometrical Genetics. Concept Publishing Company, New Dehli, IN.
16. Fanaei, H.M., Akbari Mghadam, A., Raofi, A. and Khajeh Dad Keshtehgar, M. (2019). Evaluation of agronomic characteristics, seed yield and yield components of faba bean (Vicia faba L.) varieties in sistan region in Iran. Seed and Plant Imrovement Journal, 34(4): 423-446 (In Persian).
17. FAO. (2015). Food and Agriculture Organization, Annual Statistics Reports. http://faostat.fao.org/567.
18. Hashemi, M. and Mohammady, S. (2016). Evaluation of grain yield and yield components in some imported faba bean genotypes (Vicia faba L.). Journal of Crop Breeding, 8(18): 97-103 (In Persian). [DOI:10.29252/jcb.8.18.97]
19. Hassan, M.S. (1984). Introduction of broad beans (Vicia faba L.) into the central clay plains of the Sudan. Acta Horticulture, 19: 199-207. [DOI:10.17660/ActaHortic.1984.143.22]
20. Holland, J.B. (2006). Estimating genotypic correlations and their standard errors using multivariate restricted maximum likelihood estimation with SAS Proc MIXED. Crop Science, 46: 642-654. [DOI:10.2135/cropsci2005.0191]
21. Holland, J.B., Nyquist, W.E. and Cervantes-Martínez, C.T. (2003). Estimating and interpreting heritability for plant breeding: an update. Plant Breeding Reviews, 22: 9-112. [DOI:10.1002/9780470650202.ch2]
22. Ibrahim, H.M. (2010). Heterosis, combining ability and components of genetic variance in faba bean (Vicia faba L.). Meteorology, Environment and Arid Land Agriculture Sciences, 21(1): 35-50. [DOI:10.4197/met.21-1.3]
23. Ismaili, A., Karami, F., Akbarpour, O. and Rezaei Nejad, A. (2016). Estimation of genotypic correlation and heritability of apricot ttraits, using restricted maximum likelihood in repeated measures data. Canadian Journal of Plant Science, 96: 439-447. [DOI:10.1139/cjps-2015-0253]
24. Jafarnodeh, S., Sheikh, F. and Soltani, A. (2017). Identification of plant characteristics related to seed yield of faba bean (Vicia faba L.) genotypes using regression models. Iranian Journal of Crop Sciences, 19(3): 208-219 (In Persian).
25. Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agronomy Journal, 47: 314-318. [DOI:10.2134/agronj1955.00021962004700070009x]
26. Kalia, P. and Sood, S.H. (2004). Genetic variation and association analysis for pod yield and other agronomic and quality characters in an Indian Himalayan collection of broad bean (Vicia faba L.). SABRAO Journal of Breeding and Genetics, 36(2): 55-61.
27. Karadavut, U., Palta, C., Kavurmaci, Z. and Bölek, Y. (2010). Some grain yield parameters of multi-environmental trials in faba bean (Vicia faba) genotypes. International Journal of Agriculture and Biology, 12: 217-220.
28. Kiyanbakht, M., Zeinali, E., Siahmarguee, A., Sheikh, F. and Pouri, G.M. (2014). Effect of sowing date on grain yield and yield components and green pod yield of three faba bean cultivars in Gorgan climatic conditions. Electronic Journal of Crop Production, 8(1): 99-119 (In Persian).
29. Kubure, T.E., Raghavaiah, C.V. and Hamza, I. (2016). Production potential of faba bean (Vicia faba L.) genotypes in relation to plant densities and phosphorus nutrition on vertisols of central highlands of west showa zone, Ethiopia, East Africa. Advances Crop Science and Technology, 4: 1-9.
30. Kumar, P., Das, R.R., Bishnoi, S.K. and Sharma, V. (2017). Inter-correlation and path analysis in faba bean (Vicia faba L.). Electronic Journal of Plant Breeding, 8(1): 395-397. [DOI:10.5958/0975-928X.2017.00059.X]
31. Metwally, I.M., Shahawy, T.A. and Ahmed, M.A. (2013). Effect of sowing dates and some broomrape control treatments on faba bean growth and yield. Journal of Applied Sciences Research, 9(1): 197-204.
32. Mode, C.J. and Robinson, H.F. (1959). Pleiotropism and the genetic variance and covariance. Biometrics, 15: 518-537. [DOI:10.2307/2527650]
33. Mueller, J.P. and James, J.W. (1983). Effects of reduced variance due to selection in open nucleus breeding system. Agricultural Research, 34: 53-62. [DOI:10.1071/AR9830053]
34. Mulualem, T., Dessalegn, T. and Dessalegn, Y. (2013). Genetic variability, heritability and correlation in somefaba bean genotypes (Vicia faba L.) grown in Northwestern Ethiopia. International Journal of Gene and Molecular Biology, 5(1): 8-12. [DOI:10.5897/IJGMB12.006]
35. Piepho, H.P. and Mohring, J. (2005). Best linear unbiased prediction of cultivar effects for subdivided target regions. Crop Science, 45: 1151-1159. [DOI:10.2135/cropsci2004.0398]
36. Roy, D. (2000). Plant Breeding Analysis and Exploitation of Variation. Alpha Science International Ltd, Oxford, UK.
37. Sarparast, R., Sheikh, F. and Sowghi, H.A. (2011). Investigation of genotype and environment interaction and cluster analysis for seed yield in different lines of faba bean (Vicia faba L.). Iranian Journal of Pulses Research, 2(1): 99-106 (In Persian).
38. SAS Institute. (2010). Base SAS 9.2 Procedures Guide: Statistical Procedures, 3 Edition. SAS Institute, Cary, North Carolina, USA.
39. Selvaraj, C.I., Nagarajan, P., Thiyagarajan, K., Bharathi, M. and Rabindran, R. (2011). Genetic parameters of variability, correlation and path coefficient studies for grain yield and other yield attributes among rice blast disease resistant genotypes of rice (Oryza Sativa L.). African Journal of Biotechnology, 10(17): 3322-3334. [DOI:10.5897/AJB10.2575]
40. Senapati, B.K. and Sarkar, G. (2005). Genetic divergence in tall indica rice (Oryza sativa L.) under rainfed saline soil of Sundarban. Oryza, 42(1): 70-72.
41. Shapiro, S.S., and Wilk, M.B. (1965). An analysis of variance test for normality (complete samples). Biometry, 52: 591-611. [DOI:10.1093/biomet/52.3-4.591]
42. Sharifi, P. (2013). Statistical Design in Agricultural Research: Principles, Procedures and Analysis by SAS, SPSS and Minitab. Rasht Branch, Islamic Azad University Press, Rasht, IR (In Persian).
43. Sharifi, P. (2014). Correlation and path coefficient analysis of yield and yield component in some of broad bean (Vicia faba L.) genotypes. Genetika, 46(3): 905-914. [DOI:10.2298/GENSR1403905S]
44. Sharifi, P. (2020). Application of Multivariate Analysis Methods in Agriculural Sciences. Rasht Branch, Islamic Azad University Press, Rasht, IR (In Persian).
45. Sharifi, P. and Aminpanah, H. (2014). A study on the genetic variation in some of faba bean genotypes using multivariate statistical techniques. Tropical Agriculture, 91(2): 87-97.
46. Sharifi, P., Astereki, H. and Safari Motlagh, M.R. (2014). Evaluation of genotype, environment and genotype × environment interaction effects on some of important quantitative traits of faba bean (Vicia faba L.). Journal of Crop Breeding, 6(13): 73-88 (In Persian).
47. Siahpoosh, M.S., Emam, Y. and Saidi, A. (2003). Genotypic variation, heritability, genotypic and phenotypic correlation coefficients of grain yield, its components and some morpho-physiological characters in bread wheat (Triticum aestivum L.). Iranian Journal of Crope Sciences, 5(2): 86-102 (In Persian).
48. Singh, M. (1990). Standard Errors of the Estimates of Genotypic and Phenotypic Correlation. Biometircs Report 1/90, Computer Service, ICARDA, Aleppo, SY.
49. Systat. (2014). Systat 13 Statistical Software. University of Illinois Press, Chicago, USA.
50. Tadesse, T., Fikere, M., Legesse, T. and Parven, A. (2011). Correlation and path coefficient analysis of yield and its component in faba bean (Vicia faba L.) germplasm. International Journal of Biodiversity and Conservation, 3(8): 376-382.
51. Toker, C. (2004). Estimates of broad-sense heritability for seed yield and yield criteria in faba bean (Vicia faba L.). Hereditas, 140: 222-225. [DOI:10.1111/j.1601-5223.2004.01780.x]
52. Verma, V.S. and Mehta, R.K. (1976). Genetic divergence in Lucerne. Journal of Maharastra Agricultural University, 1: 23-28.
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Astaraki H, Sharifi P, Sheikh F. Estimation of Genotypic Correlation and Heritability of some of Traits in Faba Bean Genotypes Using Restricted Maximum Likelihood (REML). pgr 2020; 6 (2) :111-128
URL: http://pgr.lu.ac.ir/article-1-145-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 6, Issue 2 (2020) Back to browse issues page
پژوهش های ژنتیک گیاهی Plant Genetic Researches
Persian site map - English site map - Created in 0.07 seconds with 39 queries by YEKTAWEB 4642