Stability of yield and other important traits of Chrysanthemum (Chrysanthemum morifolium Ramat) Cultivars using graphical GGE biplot method

Document Type : scientific research article

Authors

1 Ph.D. Student, Dept. of Horticultural Sciences, Faculty of Agriculture, Lorestan University, Khoramabad, Iran

2 Assistant Prof., Dept. of Horticultural Sciences, Faculty of Agriculture, Lorestan University, Khoramabad, Iran

3 ssistant Prof., Dept. of Biology, Faculty of Basic Sciences, Lorestan University, Khoramabad, Iran

4 Assistant Prof., Dept. of Horticultural Sciences, Faculty of Agriculture, Lorestan University, Khoramabad, Iran,

Abstract

Background and Objectives: Chrysanthemum (Chrysanthemum morifolium Ramat.) as the king of flowers is one of the most important cut flowers, pot and medicinal plants in the world. Plant genetic resources, in addition to the infrastructure for agricultural development, it serves as a source of genetic adaptation and as a protection against environmental changes. Therefore, evaluation of genetic diversity and adaptation of cultivars in Iran with water deficit conditions (moderate and severe stress) is necessary for further identification of germplasm and success of breeding programs of this plant. This research was carried out to investigate the compatibility of 30 cultivars of Chrysanthemum, by studying the morphology of flower and leaves and flower yield in two regions (Khorramabad and Beiran-Shahr) of Lorestan province.

Material and Methods: This experiment as the first study, was conducted to investigate the compatibility and stability flower yield and other important traits flowers and shrubs of 30 cultivars of Chrysanthemum in a randomized complete block design with three replications in (Khorramabad and Beiran-Shahr) of Lorestan province. Experimental errors were homogeneous in two locations, therefore; composite variance analysis was performed in two regions. To determine sustainable cultivars also non-parametric ranking method, AMMI and and GGE biplot multivariate methods were used to evaluate stable cultivars to select the best cultivars in two regions.
Results: The results of composite variance analysis showed significant effect of cultivars that indicating the genetic difference among the cultivars under study. For most important morphological traits, cultivar × location interaction effects were statistically significant at 1% level. Considering that the interaction effects of cultivar × location on flower yield were significant, so the stability of the cultivars could be analyzed. According to the results, Flower yield per plant Elmira2 and Shekarnaz cultivars with 918 and 828 gr per plant, respectively, and in terms of early flowering and plant height, they were superior to other cultivars. According to this method, Tanaaz, Andia, Fariborz, Darya 2 and Farahnaz cultivars with higher average yield rating and standard deviation, they had lower stability. GGE biplot results showed that cultivars Elmira2, Mani 2, Paridokht, Farahnaz, Golnar, Taban3, Oran and Fariba in Beiran-Shahr and Elmira2, Tanaz, Farahnaz, Nadia2, Golgis, Oran, Taban3, Nastaran and Kimia 3 cultivars in Khorramabad region, they were recognized as superior cultivars for important ornamental traits. Cluster analysis of cultivars at Euclidean distance of 17.71, were categorized into three main groups.
Conclusion: Finally, based on results of stability of flower yield in plant and interaction of genotype in environment based on non-parametric AMMI and SHMM methods, Elmira2 and Shekarnaz cultivars, were identified as stable cultivars in two regions. GGE biplot results showed that cultivars Elmira 2, Oran, Taban 3 and Farahnaz were the best cultivars in the two regions. Understanding the nature of genotype × environment interaction effects will help breeders to evaluate the cultivars more accurately and select superior cultivars in terms of stability, flower yield and important morphological traits in breeding programs.

Keywords


1.Becker, H.C. and Leon, J. 1988. Stability analysis in plant breeding. Plant Breed. 101: 1-23.
2.Crossa, J. 1990. Statistical analysesof multilocation trials. Adv. Agron.44: 55-85.
3.da Silva, J.A.T. 2004. Ornamental chrysanthemums: improvement by biotechnology. Plant cell, tissue organ culture, 79: 1-18.
4.Damavandi Kamali, S., Babaian Jelodar, N. and Aalishah, E. 2012. The assessment of adaptability and stability of yield in cotton cultivars by using uniparametric, non-parametric and AMMI methods.Iran. J .Field Crop Sci. 42: 2. 397-407.
(In Persian with English abstract)
5.Darabi, A., Hassanzadeh, H., Parkasi, A.R. and Mousapour Gorji, A. 2017. Stability of yield and other important characters of short day onion genotypes in south regions of Iran using graphical GGE biplot method, Iran. J. Hort. Sci.49: 4. 959-972. (In Persian)
6.Darabi, F. 2016. Evaluation of Genetic Diversity among some of Chrysanthemum cultivars using Morphological and SSR molecular markers. MSc. Thesis. Lorestan University. Khorramabad. Iran. 92p.(In Persian)
7.Dole, J.M. and Wilkins, H.F. 1999. Floriculture: principles and species, Prentice-Hall inc. Field Crop Sci.42: 2. 397-407.
8.Gauch, H.G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Science, 46: 1488-1500.
9.Gauch, H.G. and Zobel, R.W. 1988. Predictive success of statistical analysis of yield traits. Theor. Appl. Genet.
76: 1. 1-10.
10.Ghani, A., Azizi, M. and Tehrani Far, A. 2009. Evaluation of ornamental abilities of five Achillea cultivars grown under Mashhad weather conditions. J. Hort. Sci. 23: 2. 31-25.
11.Hawtin, G., Iwanage, M. and Hodykin, T. 1996. Genetic resources in breeding for adaptation. Euphytica. 92: 255-266.
12.Hayward, A.D., Bosemark, N.O. and Romagosa, I. 1993. Plant Breeding. Chapman and Hall, U.K. Pp: 1-65.
13.Jalata, Z. 2011. GGE biplot analysis of multi-environment yield trials ofbarley (Hordeum Vulgare L.) genotype in southeaster Ethiopia. Plant Breed,5: 1. 57-59.
14.Kamenetsky, R., Fritsch, R.M., Rabinowitch, H.D. and Currah, L. 2002. Ornamental alliums. Allium crop science: recent advances. Pp: 459-491.
15.Khajeh Ahmad Attari, A.A. and Akbari, A. 1996. Alamoot, a new winter wheat cultivar introduced for cold regions of the country. Serv Rmrs-P. 12: 2. 10-8. (In Persian)
16.Liu, P.L., Wan, Q., Guo, Y.P., Yang, J. and Rao, G.Y. 2012. Phylogeny of the genus Chrysanthemum L.: evidence from single-copy nuclear gene and chloroplast DNA sequences. PLoS ONE 7, e48970.
17.Mazaheri, D. 1994. Mixed Agronomy, Tehran University Press. 262p. (In Farsi)
18.Misra, A., Sharma, S., Singh, A. and Patra, N.K. 2002. Influence of topographical and edaphic factors on Rose. II. Flowering quality and quantity. Commun Soil Sci. Plan. 33: 2771-2780.
19.Omidi Tabrizi, A.H., Ahmadi, M., Shahsavari, J. and Karimi, S. 2000. Investigating the stability of grain and oil yield in some (Carthamus tinctorius L.) cultivars and lines. Us For Serv Rmrs-P. 16: 145-130. (In Persian)
20.Perkins, J.M. and Jinks, J.L. 1971. Environmental and genotype environment components of variability. III. Multiple line and crosses. Heredity, 23: 339-356.
21.Roein, Z. 2013. Study of morphological and biochemical characteristicsamong Some of Chrysanthemums (Chrysanthemum morifolium Ramat.) and association analysis of their relationship with molecular markers, Ph.D. Thesis. Faculty of Agriculture, University of Guilan 17. 576p. (In Persian)
22.Roein, Z., Hasanpour Asil, M., Sabouri, A. and Dadras, A.R. 2014. Genetic structure of Chrysanthemum genotypes from Iran assessed by AFLP markers and phenotypic traits. Plant Syst. Evol. 300: 493-503.
23.Sabaghnia, N., Dehghani, H. and Sabaghpour, S.H. 2008. Graphical analysis of genotype by environment interaction for lentil yield in Iran. Agron. J. 100: 760-764.
24.Sadeghzadeh Ahiri, D., Hosseinpour, T., Khalilzadeh, Gh. and Alizadeh, K. 2005. Study on adaptability and stability of grain yield in durum wheat lines in warm and semi-warm dryland areas.Us For Serv Rmrs-P. 21: 576-561.(In Persian)
25.Salamte, M. and Yousefi, V. 2014. Evaluation of yield variation and morphological traits of some of the Dracocephalum moldavica genotypes.J. Plant Res. 27: 1. 91-99. (In Persian)
26.Shao, Q.S., Guo, Q.S., Deng, Y.M. and Guo, H.P. 2010. A comparative analysis of genetic diversity in medicinal Chrysanthemum morifolium based on morphology, ISSR and SRAP markers, Biochem. Syst. Ecol. 38: 1160-1169.
27.Touteyan, H. and Nateq, Z. 1996. Tajan, new wheat cultivar introduced for the northern regions of the country. US FOR SERV RMRS-P. 12: 4. 23-18.
(In Persian)
28.Ward, J.H. 1963. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58: 238-244.
29.Yan, W. 2002. Singular-value partitioning in biplot analysis of multi environment trial data. Agr .J. 94: 990-996.
30.Yan, W. and Hunt, L.A. 2001. Genetic and environmental causes of genotype by environment interaction for winter wheat yield in Ontario. Crop Sci.41: 19-25.
31.Yan, W. and Kang, M.S. 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists and Agronomists. CRC Press, Boca Raton, FL, USA.
32.Yousefi, B., Tabaei-Aghdaei, S.R., Darvish, F. and Asareh, M.H. 2009. Flower yield performance and stability of various Rosa damascena Mill. landraces under different ecological conditions, Sci. Hort. 121: 3. 333-339. (In Persian)