Ecological Stability of Quantitative Signs in White Lupin Varieties

Valentin Kosev, Viliana Vasileva & Yalçın Kaya

doi:https://doi.org/10.29329/ijiaar.2019.188.7

Original article | Open Access
International Journal of Innovative Approaches in Agricultural Research 2019, Vol. 3(1) 67-80

Ecological Stability of Quantitative Signs in White Lupin Varieties

Valentin Kosev, Viliana Vasileva & Yalçın Kaya

pp. 67 - 80 | DOI: https://doi.org/10.29329/ijiaar.2019.188.7

Published online: March 29, 2019 | Number of Views: 173 | Number of Download: 717

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Abstract

Ecological stability of quantitative signs in white lupine varieties was studied in field trial in the Institute of Forage Crops, Pleven, Bulgaria. Seven varieties of white lupine were used. Analysis of variance showed a well-proven influence of genotype and environment factors and the interaction between them in terms of plant height, number of pods, number of seeds and seeds weight. For plant height, number of seeds and seeds weight, the influence of the environment was stronger than that of the other two factors. The seeds weight strongly correlated with the Anicchiarico Wi indices (r = 0.87), bi (r = 0.634), ai (r = 0.633) and T (r = 0.559) and negative correlated with the Lin and Binns (r = -0.977) parameter. Ecological stability parameters for plant height showed the most stable and high-growing PI533704 variety; for the number of pods, number of seeds and seeds weight Zuter variety, respectively. Zuter variety was found close to the ideal type combining high productivity with ecological stability. Lucky801, for most signs, was environmentally unstable but highly productive and is therefore suitable as a parent component in breeding programs for obtaining high yield varieties.

Keywords: Adaptation, Lupinus albus, Genotype, Environment

How to Cite this Article

APA 6th edition
Kosev, V., Vasileva, V. & Kaya, Y. (2019). Ecological Stability of Quantitative Signs in White Lupin Varieties . International Journal of Innovative Approaches in Agricultural Research, 3(1), 67-80. doi: 10.29329/ijiaar.2019.188.7

Harvard
Kosev, V., Vasileva, V. and Kaya, Y. (2019). Ecological Stability of Quantitative Signs in White Lupin Varieties . International Journal of Innovative Approaches in Agricultural Research, 3(1), pp. 67-80.

Chicago 16th edition
Kosev, Valentin, Viliana Vasileva and Yalcin Kaya (2019). "Ecological Stability of Quantitative Signs in White Lupin Varieties ". International Journal of Innovative Approaches in Agricultural Research 3 (1):67-80. doi:10.29329/ijiaar.2019.188.7.

References

Ahmadi, J., B. Vaezi, A. Shaabani, K. Khademi, S. Fabriki Ourang and A. Pour-Aboughadareh (2015). Non-parametric Measures for Yield Stability in Grass Pea (Lathyrus sativus L.) Advanced Lines in Semi Warm Regions. J. Agric. Sci. Technol., 17, 1825-1838. [Google Scholar]
Annicchiarico, P. (1992). Cultivar adaptation and recomendation from alfalfa trialsin Northern Italy. J. Genet. Plant Breed., 4, 269-278. [Google Scholar]
Berger, J. D., B. J. Buirchell, D. J. Luckett and M. N. Nelson (2012). Domestication bottlenecks limit genetic diversity and constrain adaptation in narrow-leafed lupin (Lupinus angustifolius L.). Theor. Appl. Genet., 124, 637-652. [Google Scholar]
Charlson, D.V., S. Bhatnagar, C.A. King, J.D. Ray, C.H. Sneller, T.E. Carter and L.C. Purcell (2009). Polygenic inheritance of canopy wilting in soybean [Glycine max (L.) Merr.]. Theor. Appl. Genet., 119, 587-594. [Google Scholar]
Cruz, C.D. (2009). Programa Genes: Biometria. version 7.0. University of Federal Viçosa, Viçosa, Brazil. [Google Scholar]
Eberhart, S. A. and W. A. Russel (1966). Stability parameters for comparing varieties. Crop Sci., 6, 36-40. [Google Scholar]
Huehn, M. (1990). Nonparametric measures of phenotypic stability. Pan 2: Applications. Euphytica, 47, 195-201. [Google Scholar]
Ieronova, V.V. (2007). Complex evaluation and selection of ecologically plastic forms of barley (Hordeum L.) for the Tyumen region. Author's abstract. PhD thesis, Tyumen, p. 25. [Google Scholar]
Ionova, E.V., V.A. Gase and E.I. Nekrasov (2014). Prospects for the use of adapted zoning and adaptive crop selection (overview). Grain Economy, 1 (31), 19-22. [Google Scholar]
Karimizadeh, R., M. Mohammadi, N. Sabaghnia and M.K. Shefazadeh (2012). Using different aspects of stability concepts for interpreting genotype by environment interaction of some lentil genotypes. Aust. J. Crop Sci., 6, 1017-1023. [Google Scholar]
Kilic, H. (2012). Assessment of parametric and nonparametric methods for selecting stable and adapted spring bread wheat genotypes in multi-environment. J. Anim. Plant Sci., 22, 390-398. [Google Scholar]
Lin, C.S. and M. R. Binns (1988). A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci., 68, 193-198. [Google Scholar]
Mohebodini, M., H. Dehghani and S. H. Sabaghpour (2006). Stability of performance in lentil (Lens culinaris Medik.) genotypes in Iran. Euphytica, 149, 343-352. [Google Scholar]
Mulusew, F., T. Tadele and L. Tesfaye (2008). Genotype-environment interaction and stability parameters for grain yield of faba bean (Vicia faba L.) genotypes grown in southeastern Ethiopia. Int. J. Sust. Crop Prod., 3, 80-87. [Google Scholar]
Murugova, G.A. (2015). An estimation of a starting material of a summer barley with the purpose of creation of breeds with high efficiency and ecological plasticity in the conditions of Primorye Territory. DSc thesis, Federal State Educational Establishment "Primorsky NIISH", Timiryazevsky settlement - 2015. [Google Scholar]
Nettevich, E.D. (2001). Potential of the yields of spring wheat and barley varieties recommended for cultivation in the Central region of the Russian Federation and its reproduction under production conditions. Reports of the Russian Academy of Agricultural Sciences, 3, 50-55. [Google Scholar]
Plaisted, R.L. and L. C. Peterson (1959). A technique for evaluating the ability of selection to yield consistently in different location and seasons. Am. Potato J., 36, 381-385. [Google Scholar]
Sabaghnia, N., R. Karimizadeh and M. Mohammad (2012). Genotype by environment interaction and stability analysis for grain yield of lentil genotypes. Agriculture, 99 (3), 305-312. [Google Scholar]
Tai, G.C.C. (1979). Analysis of genotype - environment interactions of potato yield. Crop Sci., 19, 434. [Google Scholar]
Temesgena, T., G. Kenenib, T. Seferaa and M. Jarsob (2015). Yield stability and relationships among stability parameters in faba bean (Vicia faba L.) genotypes. Crop J., 3 (3): 258-268. [Google Scholar]
Theil, H. (1950). A rank-invariant method of linear and polynomial regression analysis. Indagationes Mathematicae, 12, 85-91. [Google Scholar]
Tsegaye, D., W. Tadesse and M. Bayab (2012). Genotype X environment interactions and grain yield stability of haricot bean varieties in Northwest Ethiopia. Scientific Research and Essays, 7 (41), 3487-3493. [Google Scholar]
Ukai, N. Y. (1996). A packet of computer programs for the statistical analysis of genotype x environment interaction and stability GEST. Breeding Science, 46, 73-79. [Google Scholar]
Valentine, A.J., V.A. Benedito and Y. Kang (2011). Legume nitrogen fixation and soil abiotic stress: From physiology to genomic and beyond. Annual Plant Rev., 42, 207-248. [Google Scholar]
Wricke, G. (1965). Zur berechnung der ökovalenz bei sommerweizen und hafer. Pflanzenzuchtung, 52, 127-138. [Google Scholar]
Yan, W. (2002). Singular-value partitioning in biplot analysis of multienvironment trial data. Agron. J., 94, 990-996. [Google Scholar]
Zobel, R. W., M. J. Wright and H. G. Gauch Jr. (1988). Statistical analysis of a yield trial. Agron. J., 80, 388-393. [Google Scholar]

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