|
|
|
|
|
| Path analysis and estimation of additive and epistatic gene effects of barley SSD lines |
| Jan Bocianowski1, Katarzyna Górczak1, Kamila Nowosad2, Wojciech Rybiński3, Dariusz Piesik4 |
1 Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poznań 60-637, Poland
2 Department of Genetics, Plant Breeding and Seed Production, Wroc?aw University of Environmental and Life Sciences, Wroc?aw 53-363, Poland
3 Institute of Plant Genetics, Polish Academy of Sciences, Poznań 60-479, Poland
4 Department of Entomology and Molecular Phytopathology, UTP University of Science and Technology, Bydgoszcz 85-225, Poland |
|
|
|
|
Abstract In the paper presented, 99 single seed descent barley lines as well as their parental forms Roland and Apex were studied. The grain weight components and their interrelations were analyzed using simple coefficients of correlation. The direct and indirect effects of such components on grain weight per plant and 1 000-grain weight were estimated using path analysis. In the 2006 and 2007, the spike length and number of spikelets per spike were the determinants of grain weight. Genetic parameters as additive and epistasis effects were estimated for all studied traits. The results indicate the importance of both additive and epistasis gene effects of number of spikes per plant, grain weight per spike, grain number per plant and grain weight per plant in this study.
|
|
Received: 06 September 2015
Accepted:
|
|
Corresponding Authors:
Jan Bocianowski, Tel: +48-61-8487143,
Fax: +48-61-8487140, E-mail: jboc@up.poznan.pl
|
Cite this article:
Jan Bocianowski, Katarzyna Górczak, Kamila Nowosad, Wojciech Rybiński, Dariusz Piesik.
2016.
Path analysis and estimation of additive and epistatic gene effects of barley SSD lines. Journal of Integrative Agriculture, 15(9): 1983-1990.
|
| Badu-Apraku B, Akinwale R O, Franco J, Oyekunle M. 2012. Assessment of reliability of secondary traits in selecting for improved grain yield in drought and low-nitrogen environments. Crop Science, 52, 2050–2062.Bnejdi F, El Gazzah M. 2008. Inheritance of resistance to yellowberry in durum wheat. Euphytica, 163, 225–230.Bocianowski J. 2012a. A comparison of two methods to estimate additive-by-additive interaction of QTL effects by a simulation study. Journal of Theoretical Biology, 308, 20–24.Bocianowski J. 2012b. Analytical and numerical comparisons of two methods of estimation of additive×additive interaction of QTL effects. Scientia Agricola, 69, 240–246.Bocianowski J. 2013. Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect. Genetics and Molecular Biology, 36, 93–100.Bocianowski J. 2014. Estimation of epistasis in doubled haploid barley populations considering interactions between all possible marker pairs. Euphytica, 196, 105–115.Bocianowski J, Krajewski P. 2009. Comparison of the genetic additive effect estimators based on phenotypic observations and on molecular marker data. Euphytica, 165, 113–122.Bocianowski J, Krajewski P, Kaczmarek Z. 1999. Comparison of methods of choosing extreme doubled haploid lines for genetic parameter estimation. Colloquium Biometrycze, 29, 193–202.Bocianowski J, Nowosad K. 2015. Mixed linear model approaches in mapping QTLs with epistatic effects by a simulation study. Euphytica, 202, 459–467.Chalh A, El Gazzah M. 2004. Bayesian estimation of dominance mertis in noninbred populations by using Gibbs sampling with two reduced sets of mixed model equations. Journal of Applied Genetics, 43, 471–488.Chitra R, Rajamani K. 2010. Character association and path analysis in glory lily (Gloriosa superba L.). Communications in Biometry and Crop Science, 5, 78–82.Choo T M, Reinbergs E. 1982. Estimation of the number of genes in doubled haploid populations of barley (Hordeum vulgare). Canadian Journal of Genetics and Cytology, 24, 337–341.Choo T M, Reinbergs E, Park S J. 1982. Comparison of frequency distribution of doubled haploid and single seed descent lines in barley. Theoretical and Applied Genetics, 61, 215–218.Dewey D R, Lu K H. 1959. A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal, 51, 515–518.Falconer D S, Mackay F C. 1996. Introduction to Quantitative Genetics. Longman, New York.Finkner R E, Finker M D, Glaze R M, Maese G. 1981. Genetic control for percentage grain protein and grain yield in grain sorghum. Crop Science, 21, 139–142.Goulden C H. 1939. Problems in plant selection. In: Proceedings of the Seventh International Genetic Congress. Cambridge University Press, United Kingdom. pp. 132–133.Kaczmarek Z, Surma M, Adamski T, Czajka S. 2004. Numerical method for detection of linkage of genes for metrical traits. Journal of Applied Genetics, 45, 27–35.Kearsey M J, Pooni H S. 1996. The Genetical Analysis of Quantitative Traits. 1st ed. Chapman and Hall, London. p. 381.Kim H H, Kim D M, Kang J M, Lee H S, Kang Y J, Ahn S N. 2015. Analysis of QTL interaction for grain weight using near isogenic lines in rice. Plant Breeding and Biotechnology, 3, 30–38.Kozak M, Bocianowski J, Rybiński W. 2008. Selection of promising genotypes based on path and cluster analyses. Journal of Agricultural Science Cambridge, 146, 85–92.Kozak M, Kang M S. 2006. Note on modern path analysis in application to crop science. Communications in Biometry and Crop Science, 1, 32–34.Kularia R K, Sharma A K. 2005. Generation mean analysis for yield and its component traits in barley (Hordeus vulgare L.). Indian Journal of Genetics and Plant Breeding, 65, 129–130.Lorencetti C, Carvalho F I F D, Oliveira A C D, Valério I P, Hartwig I, Benin G, Schmidt D A M. 2006. Applicability of phenotypic and canonic correlations and path coefficients in the selection of oat genotypes. Scientia Agricola, 63, 11–19.Mather K, Jinks J L. 1982. Biometrical Genetics. 3rd ed. Chapman and Hall, London. p. 396.Matsubara K, Yamamoto E, Mizobuchi R, Yonemaru J, Yamamoto T, Kato H, Yano M. 2015. Hybrid breakdown caused by epistasis-based recessive incompatibility in a cross of rice (Oryza sativa L.). Journal of Heredity, 106, 113–122.Melchinger A E, Geiger H H, Seitz G. 1987. Epistasis in maize (Zea mays L.). III. Comparison of single and three-way crosses for forage traits. Plant Breeding, 98, 185–193.Mohtashami R. 2015. The correlation study of important barley agronomic traits and grain yield by path analysis. Biological Forum, 7, 1211–1219.Monnahan P J, Kelly J K. 2015. Epistasis is a major determinant of the additive genetic variance in Mimulus guttatus. PLOS Genetics, 11, e1005201.Ober U, Huang W, Magwire M, Schlather M, Simianer H, Mackay T F C. 2015. Accounting for genetic architecture improves sequence based genomic prediction for a drosophila fitness trait. PLOS ONE, 10, e0126880. Pedersen P, Tylka G L, Mallarino A, Macguidwin A E, Koval N C, Grau C R. 2010. Correlation between soil plant height, population densities, and soybean yield. Crop Science, 50, 1458–1464.Singh A K, Singh H P, Singh S P, Kalra A. 2008. Genetic variability and correlation studies for selection criteria in Safed Musli (Chlorophytum borivilianum, Santapau). Communications in Biometry and Crop Science, 3, 67–71.Surma M, Adamski T, Kaczmarek Z, Czajka S. 2006. Phenotypic distribution of barley SSD lines and doubled haploids derived from F1 and F2 hybrids. Euphytica, 149, 19–25.Tinker N A, Mather D E, Rossnagel B G, Kasha K J, Kleinhofs A, Hayes P M, Falk D E, Ferguson T, Shugar L P, Legge W G, Irvine R B, Choo T M, Briggs K G, Ullrich S E, Franckowiak J D, Blake T K, Graf R J, Dofing S M, Saghai Maroof M A, Scoles G J, et al. 1996. Regions of the genome that affect agronomic performance in two-row barley. Crop Science, 36, 1053–1062.Tollenaar M F, Ahmaedzedahand A, Lee E A. 2004. Physiological basis of heterosis for grain yield in maize. Crop Science, 44, 2086–2094.Zeng L, Meredith W R. 2009. Associations among lint yield, yield components, and fiber properties in an introgressed population of cotton. Crop Science, 49, 1647–1654.Zhang F Y, Li L H, Ahmad S, Li X M. 2014. Using path analysis to identify the influence of climatic factors on spring peak flow dominated by snowmelt in an alpine watershed. Journal of Mountain Science, 11, 990–1000. |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
