ارزیابی پایداری عملکرد دانه ارقام جو زمستانه (Hordeum vulgare L.) با استفاده از روش اثرات اصلی جمع‌پذیر و اثرات متقابل ضرب‌پذیر

1. Abdemishani, S., and Shahnejatboshehri,
A.A. 2008. Advance in Plant
Breeding. Tehran university press. 248p.
(In Persian)
2. Albert, M.J.A. 2004. A comparison of
statistical methods to describe
genotype×environment interaction and
yield stability in multi-location maize
trials. M.Sc. Thesis. Department of Plant
Sci., the University of the Free State,
Bloemfontein.
3. Anandan, A., and Eswaran, R. 2009.
Genotype by environment interaction of
rice (Oryza sativa L.) hybrids in the east
coast saline region of Tamil Nadu. In the
Proceeding of 2ⁿᵈ Iteraction Rice Con,
Pp: 226-234.
4. Badooei Delfard, R., Mostafavi, K., and
Mohammadi, A. 2016. Genotype –
Environment Interaction and Yield
Stability of Winter Barley Varieties
(Hordeum vulgare L.). J. Crop Breed.,
20(3): 99-106.
5. Crossa, J. 1990. Statistical analysis of
multi location trials. Adv. Agr., 44: 55-
85.
6. Ehdaei, B. 1994. Plant Breeding.
Barsava press. Publication of Mashhad.
256p. (In Persian)
7. Farshadfar, A. 1998. Quantitative
Genetic in Plant Vreeding. Second
volume. Tagh bostan press. 381p. (In
Persian)
8. Farshadfar, E., and Sutka, J. 2006.
Biplot analysis of genotype-environment
interaction in durum wheat using the
AMMI model. Acta Agr. Hung.,, 54(4):
459- 467.
9. Gauch, H.G. 1988. Model selection and
validation for yield trials with
interaction. Biometrics., 44: 705- 715.
10. Gauch, H.G. 1992. Statistical Analysis
of Regional Trials, AMMI Analysis of
Factorial Designs. Elsevier Pub.
Amsterdam, Netherlands.
11. Gauch, H.G., and Zobel, R.W. 1997.
Identifying mega-environments and
targeting genotypes. Crop Sci., 37: 311-
326.
12. Gollob, H.F. 1968. A statistical model
which combines features of factor
analytic and analysis of variance
techniques. Psycometrika., 33: 367- 376.
13. Miller, P.A., Williams, C.J., Robinson,
H.F., and Comstock, R. 1958. Estimates
of genotypic and environmental
variances and covariance in upland
cotton and their implication in selection.
Agr., J., 50: 126- 137.
14. Miller, P.A., Williams, J.C., and
Robinson, H.F. 1959.
Variety×environment interaction in
cotton variety tests and their implication
on testing methods. Agr. J., 51: 132-134.
15. Mandel, J. 1971. A new analysis of
variance model for non-additive data.
Technometrics., 13: 1- 18.
16. Nikkhah, H.R., Yousefi, A.,
Mortazavian, S.M., and Arazmjoo, M.
2007. Analysis of yield stability of
barley (Hordeum vulgare L.) genotypes
using additive main effects and
multiplicative interaction (AMMI)
model. Iran. J. Crop Sci., 9, 1(33): 1-12.
(In Persian)
17. Purchase, J.L. 1997. Parametric analysis
to describe genotype×environment
interaction and yield stability in winter
wheat. Ph.D. dissertation, department of
agronomy, university of Free State,
Bloemfontein, South Africa.
18. Purchase, J.L., Hatting, H., and Van
Deventer, C.S. 2000. Genotype
×environment interaction of winter
wheat in south Africa: II. Stability
analysis of yield performance. South
Africa J. Plant Soil., 17(3): 101-107.
19. Raiger, H.L., and Prabhakaran, V.T.
2001. A study on the performance of a
few non-parametric stability measures
using pearl-millet data. Indian J. Genet,
61: 7- 11.
20. Rharrabti, Y., Garcia del moral, L.F.,
Villegas, D., and Royo, C. 2003. Durum
wheat quality in Mediterranean
environments ill: Stability and
comparative methods in analyzing G×E
interaction. Field Crop Res., 80: 141-
146.
21. Rodriguez, M., Rau, D., and Papa, R.
2007. Genotype by environment
interactions in barley (Hordeum vulgare
L.): different responses of landraces,
recombinant inbred lines and varieties to
Mediterranean environment. Euphytica.,
163(2): 231-247.
22. Saeid, A., Moghadam M., and
Mohammadi, A. 2005. Investigation of
yield stability in rics cultivars and lines
using AMMI analysis. Abstract article
of 8th Iranian Congress in Agronomy
and Plant Breeding. Gilan University,
Rasht, Pp: 432-441. (In Persian)
23. Xie, M. 1996. Selection of stable
cultivars using phenotypic variances.
Crop Sci., 36: 572-576.
24. Yan, W., and Hunt, L.A. 2002. Biplot
analysis of multi-environment trial data.
Quant. Genetics, Genomics Plant Breed.
J., 19: 289- 303.
25. Zobel, R.W., Wright, M.J., and Gauch,
H.G. 1988. Statistical analysis of yield
trial. Agr. J., 80: 388-393.