Statistical and graphical (GGE biplot) evaluation of the adaptive ability and stability of winter barley breeding lines
https://doi.org/10.18699/VJ19.469
Abstract
About the Author
V. N. GudzenkoUkraine
Kiev region, Tcentralnоe village
References
1. Gudzenko V.N., Demydov A.A., Vasylkivskyi S.P., Koliadenko S.S. Graphical analysis of adaptability of spring barley breeding lines in the Central Forest-Steppe zone of Ukraine. Plant Varieties Studying and Protection. 2017;13(1):20-27. DOI 10.21498/2518-1017.1. 2017.97233. (in Ukrainian)
2. Kilchevskiy A.V., Khotyleva L.V. Method of evaluation of adaptive ability and stability of genotypes, the differentiating ability of environment. Report 1. Validation of the method. Genetika = Genetics (Moscow). 1985;21(9):1481-1490. (in Russian)
3. Ahmadi J., Vaezi B., Fotokian M.H. Graphical analysis of multi-environment trials for barley yield using AMMI and GGE-biplot under rain-fed conditions. J. Plant Physiol. Breed. 2012;2(1):43-54.
4. Dimitrova-Doneva M., Valcheva D., Mihova G., Dyulgerova B. Genotype-environment interaction and stability analysis for grain yield of winter barley in the conditions of North-East and South Bulgaria. Agric. Sci. Technol. 2016;8(1):19-23.
5. Dimova D., Krasteva L., Panayotov N., Svetleva D., Dimitrova M., Georgieva T. Evaluation of the yield and the yield stability of perspective lines of barley. Agroznanje. 2012;13(1):55-60.
6. Eberhart S.A., Russel W.A. Stability parameters for comparing varieties. Crop. Sci. 1966;6:36-40. DOI 10.2135/cropsci1966.0011183X0 00600010011x.
7. Fashadfar E., Mohammadi R., Aghaee M., Vaisi Z. GGE biplot analysis of genotype×environment interaction in wheat-barley disomic addition lines. Aust. J. Crop Sci. 2012;6(6):1074-1079.
8. Finlay K.W., Wilkinson G.N. The analysis adaptation in a plant breeding programme. Aust. J. Agric. Res. 1963;14:742-754. DOI 10.1071/AR9630742.
9. Frutos E., Galindo M.P., Leiva V. An interactive biplot implementation in R for modeling genotype-by-environment interaction. Stoch. Environ. Res. Risk Assess. 2014;28:1629-1641. DOI 10.1007/s00477013-0821-z.
10. Gebremedhin W., Firew M., Tesfye B. Stability analysis of food barley genotypes in Northern Ethiopia. Afr. Crop Sci. J. 2014;22(2): 145-153.
11. Huehn M. Nonparametric measures of phenotypic stability. Part 1: Theory. Euphytica. 1990;47:189-194. DOI 10.1007/BF00024241.
12. Ingvordsen C.H., Backes G., Lyngkjær M.F., Peltonen-Sainio P., Jensen J.D., Jalli M., Jahoor A., Rasmussen M., Mikkelsen T.N., Stockmarr A., Jørgensen R.B. Significant decrease in yield under future climate conditions: Stability and production of 138 spring barley accessions. Europ. J. Agron. 2015;63:105-113.
13. Jalata Z. GGE-biplot analysis of multi-environment yield trials of barley (Hordeum vulgare L.) genotypes in Southeastern Ethiopia Highlands. Int. J. Plant Breed. Genet. 2011;5(1):59-75.
14. Lin C.S., Binns M.R. A superiority measure of cultivar performance for cultivar×location data. Can. J. Plant Sci. 1988;68:193-198. DOI 10.4141/cjps88-018.
15. Macholdt J., Honermeier B. Impact of climate change on cultivar choice: adaptation strategies of farmers and advisors in German cereal production. Agronomy. 2016;6(40). DOI 10.3390/agronomy 6030040.
16. Mirosavljevic M., Przulj N., Bocanski J., Stanisavljevic D., Mitrovic B. The application of AMMI model for barley cultivars evaluation in multi-year trials. Genetika. 2014;46(2):445-454.
17. Mohammadi M., Noorinia A.A., Khalilzadeh G.R., Hosseinpoo T. Application of GGE biplot analysis to investigate GE interaction on barley grain yield. Curr. Opin. Agric. 2015;4(1):25-32.
18. Mortazavian S.M.M., Nikkhah H.R., Hassani F.A., Sharif-al-Hosseini M., Taheri M., Mahlooji M. GGE biplot and AMMI analysis of yield performance of barley genotypes across different environments in Iran. J. Agr. Sci. Tech. 2014;16:609-622.
19. Nicotra A.B., Atkin O.K., Bonser S.P., Davidson A.M., Finnegan E.J., Mathesius U., Poot P., Purugganan M.D., Richards C.L., Valladares F., van Kleunen M. Plant phenotypic plasticity in a changing climate. Trends Plant Sci. 2010;15(12):684-692. DOI 10.1016/j.tplants.2010.09.008.
20. Sarkar B., Sharma R.C., Verma R.P.S., Sarkar A., Sharma I. Identifying superior feed barley genotypes using GGE biplot for diverse environments in India. Indian J. Genet. Plant Breed. 2014;74(1): 26-33. Shukla G.K. Some statistical aspects of partitioning genotype-enviromental components of variability. Heredity. 1972;29:237-245. DOI 10.1038/hdy.1972.87.
21. Solonechnyi P., Vasko N., Naumov O., Solonechnaya O., Vazhenina O., Bondareva O., Logvinenko Yu. GGE biplot analysis of genotype by environment interaction of spring barley varieties. Zemdirbyste-Agriculture. 2015;102(4):431-436. DOI 10.13080/z-a.2015.102.055.
22. Tai G.C.C. Genotypic stability analysis and its application to potato regional traits. Crop Sci. 1971;11:184-190. DOI 10.2135/cropsci1971.0011183X001100020006x.
23. Wricke G. Über eine methode zur erfassung der okologischen streubreite in feldversuchen. Z. Pflanzenzuchtg. 1962;47:92-96.
24. Yan W., Hunt L.A., Sheny Q., Szlavnics Z. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 2000;40:597-605. DOI 10.2135/cropsci2000.403597x.
25. Yan W., Kang M.S., Ma B., Woods S., Cornelius P.L. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci. 2007; 47:641-653. DOI 10.2135/cropsci2006.06.0374.
26. Yan W., Tinker N.A. Biplot analysis of multi-environment trial data: principles and applications. Can. J. Plant. Sci. 2006;86:623-645. DOI 10.4141/P05-169.