Assessing agronomic traits, grain quality and yield stability of promising rice lines using Lin and Binns and GGE-biplot methods

Document Type : Research Paper

Authors

1 Research Assistant Professor, Rice Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Rasht, Iran (* Corresponding author: rahimsouroush@yahoo.com)

2 Research Associate Professor, Rice Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Rasht, Iran

3 Research Assistant Professor, Rice Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Rasht, Iran

4 Researcher, Rice Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Rasht, Iran

Abstract

Introduction
Considering the lack of food in the world, increasing the production of rice is one of the demands of the global market and one of the important goals of many countries producing this crop plant. The final performance of each organism is affected by the genotypic potential, the environmental effects and the interaction between genotype and environment. The interaction of genotype and environment causes that different genotypes do not have the same reaction under different environmental conditions. Genotypes that can produce higher yields in different regions or under different environmental conditions and maintain their performance stability are considered as successful genotypes. In this study, nine promising rice lines originating from the Hashemi variety, along with two varieties Hashemi and Gilaneh, were evaluated for grain yield in two regions during two years. The objective of this study was to evaluate the stability of the studied lines and introduce the most stable ones in order to introduce the new varieties.
Materials and methods
The plant materials of this experiment were nine promising rice lines originating from the Hashemi variety, as a Iranian local variety with good quality, along with two varieties Hashemi and Gilaneh as control varieties. The experiment was conducted in a randomized complete block design with four replications in two regions, Rice Research Institute of Iran (Guilan province, Iran) and Chaparsar Research Station (Mazandaran province, Iran), in two years, 2017 and 2018. The studied traits included grain yield, days to 50% flowering, head rice percentage, milling efficiency, grain length, amylose content and gelatinization temperature. For data statistical analysis, simple analysis of variance was firstly performed for grain yield, and then Bartlett's test was done to check the uniformity of the experimental errors. Combined analysis of variance and comparison of means by Duncan's method was performed with SAS software. To evaluate the stability of the studied lines, Lin and Binns and GGE-biplot methods were used.
Research findings
The results of combined analysis of variance showed that the effects of genotype and year as well as the interaction of year × place and year × place × genotype on grain yield were significant. Therefore, grain yied stability of the studied genotypes was evaluated using Lin and Binns and GGE-biplot methods. The results of Lin and Binns method indicated that two genotypes Gilaneh and 19603 (Hashemi/IR74720-85-1-2-1), with the lowest intra-location variance, were the most stable genotypes in this experiment. The results of GGE-biplot graphical method also showed that the genotypes 19607, Hashemi and Gilaneh, which formed the vertices of the polygon in the grain yield biplot, were the best or the weakest genotypes in some environments or in all environments. Also, the simultaneous evaluation of stability and grain yield of the studied genotypes identified the promising line 19603 as the best genotype. The graph of ideal genotype also showed that the promising line 19603 had the smallest distance from the hypothetical ideal genotype compared to other genotypes, so it was the best genotype of this experiment.
Conclusion
The results of stability analysis of rice genotypes using Lin and Binns and GGE-biplot methods introduced genotype 19603 as the most stable genotype of this experiment. This promising line along with the promising line 19607 produced the highest average paddy yield in all studied environments. These genotypes with the number of days to 50% flowering less than 95 days, grain length more than seven mm, and medium amylose content and gelatinization temperature, were considered as genotypes with mid-maturing, long-grain (Sadri) and good cooking quality. Therefore, two promising lines 19603 and 19607 are suggested for cultivar introduction programs.

Keywords

Main Subjects

References

Allahgholipour, M., & Haghighi Hasanalideh, A. (2021). Gilaneh, an improved rice cultivar with high grain quality through backcrossing. Central Asian Journal of Plant Science Innovation, 1(3),
160-170. doi: 10.22034/CAJPSI.2021.03.04.##Allahgholipour, M., Mohadessi, A., Jazaeri Nooshabadi, M., Nahvi, M., & Sharafi, N. (2015). Adoptability and sustainability of promising rice lines in Guilan province. Rice Research Institute of Iran Publications. Agricultural Research, Education and Extension Organization (AREEO). 46 p. [In Persian].##Barah, B. C., Binswanger, H. P., Rana, B. S. & Rao, G. P. (1981). The use of risk aversion in plant breeding: Concept and application. Euphytica, 30, 451-458. doi: 10.1007/BF00034010.##Cheloei, G., Ranjbar, G., Babaeian Jelodar, N., Bagheri, N., & Noori, M. Z. (2020). Using AMMI model and its parameters for yield stability analysis of rice (Oryza sativa L.) advanced mutant genotypes of Tarrom-Mahalli. Iranian Journal of Genetics & Plant Breeding 9(1), 70-83. doi: 10.30479/IJGPB.2020.13219.1271.##Ebadi, A., Sharifi, P. & Taher Hallajian, M. (2022). Stability analysis of grain yield of rice mutants by multivariate methods and superiority index. Journal of Agricultural Science and Sustainable Production 32(2), 313-332. [In Persian]. doi: 10.22034/saps.2021.45415.2668.##Eshghi, I., Asghari Zakaria, R., Nabipour, A., Sofalian, O., & Norouzi, M. (2016). Yield stability of rice promising lines in Mazandaran province. Iranian Journal of Field Crop Science 47(3), 515-525. [In Persian]. doi: 10.22059/ijfcs.2016.60131.##Evans, L. T. (1993). Crop Evolution, Adaptation, and Yield. New York, Cambridge University Press doi: 10.1017/S0889189300005361.##FAO. (2023). FAO Statistical Yearbook 2023. Food & Agriculture Organization of the United Nations. Rome, Italy. http://www.fao.org/statistics.##Gabriel, K. R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58, 453-467. doi: 10.1093/biomet/58.3.453.##Hill, J., Becker, H. C., & Tigerstedt, P. M. A. (1998). Stability, Adaptability and Adaptation. In: Quantitative and Ecological Aspects of Plant Breeding. Plant Breeding. Springer, Dordrecht. pp: 187-211. doi: 10.1007/978-94-011-5830-5_7.##Juliano, B. O. (1971). Rice: Chemistry and Technology. The American Association of Cereal Chemists, Inc. St. Paul, Minnesota, USA, 774 p.##Kanouni, H., Sadeghzadeh Ahari, D., Saeid, A., Shobeiri, S., Mahdieh, M., Haji Hasani, M., Sotoudeh-Maram, K., & Beheshti Danalou, M. (2021). Investigation of grain yield stability of desi type chickpea across different environments and introducing promising lines. Journal of Agricultural Science and Sustainable Production 31(1), 295-312. [In Persian]. doi: 10.22034/saps.2021.12816.##Keramat, S., Torabi, B., Soltani, A., & Zeinali, E. (2021). Evaluation of rice production potential and yield gap in Iran using SSM-iCrop2 model. Cereal Research, 11(3), 175-191. [In Persian]. doi: 10.22124/cr.2022.20959.1696.##Khorasany, E., Fahmideh, L., Babaeian, N. A., & Ranjbar, G. (2019). Studying some of the agronomy traits and yield stability of rice genotypes. Journal of Crop Breeding, 11(31), 196-208. [In Persian]. doi: 10.29252/jcb.11.31.196.##Lin, C. S., Binns, M. R., & Lefkovitch, L. P. (1986). Stability analysis: Where do we stand?. Crop Science, 26, 894-900. doi: 10.2135/cropsci1986.0011183X002600050012x.##Lin, C. S., & Binns, M. R. (1988). A method of analyzing cultivar × location × year experiment: A new stability parameter. Theoretical and Applied Genetics, 76, 425-430. doi: 10.1007/bf00265344.##Little, R. R., Hilder, G. B., & Dawson, E. H. (1958). Differential effect of dilute alkali on 25 varieties of milled white rice. Cereal Chemistry, 35, 111-126.##Ministry of Agriculture-Jahad. (2023). Agricultural Statistics of the Cropping Year 2021-22. Vol. I: Crop Plants. Information and Communication Technology Center, Department of Economy and Planning Publication, Ministry of Agriculture-Jahad, Iran. [In Persian].##Mohtashami, R. Chakerolhoseini, M., Keshavarz, K., Rouzbehi, F., & Hoseini Chaleshtori, M. (2022). Introducing a new variety of rice 'Setayesh' for cultivation in cold and cold temperate regions. Applied Field Crops Research, 35(2), 70-84. [In Persian]. doi: 10.22092/AJ.2023.358343.1599.##Moreno-Gonzalez, J., Crossa, J., & Cornelius, P. L. (2004). Genotype × environment interaction in multi-environment trials using shrinkage factors for AMMI models. Euphytica, 137, 119-127. doi: 10.1023/B:EUPH.0000040509.61017.94.##Mostafavi, K., Hosseini-Imeni, S. S., & Firoozi, M. (2014). Stability analysis of grain yield in lines and cultivars of rice (Oryza sativa L.) using AMMI (additive main effects and multiplicative interaction) method. Iranian Journal of Field Crops Science, 45(3), 445-452. [In Persian]. doi: 10.22059/ijfcs.2014.53540.##Mostafavi, K., Hosseini Imeni, S. S., & Haji Mohammadali Jahromi, M. (2019). Assessing grain yield stability of rice genotypes under humid climate of northern Iran. Plant Production Technology, 11(2), 43-56. [In Persian]. doi: 10.22084/ppt.2017.7140.1418.##Sattari, A., Soloki, M., Bagheri, N., Fakheri, B., and Nabipour, A. (2019). Analysis of genotype, environment interaction and grain yield stability of rice (Oryza sativa L.) genotypes in Mazandaran province. Journal of Crop Breeding, 11(31), 1-10.  [In Persian]. doi: 10.29252/jcb.11.31.1.##Sharifi, P., Erfani, A., Mohaddesi, A., Abbasian, A., Aminpanah, H., Mohammad Yousefi, M., & Saeedi, M. (2020). Stability analysis of grain yield of some of rice genotypes by parametric and nonparametric uni-variate methods. Journal of Crop Production, 13(3), 85-106. [In Persian]. doi: 10.22069/ejcp.2021.17883.2315.##Singh, C., Gupta, A., Gupta, V., Kumar, P., Sendhil, R., Tyagi, B. S., Singh, G., Chatrath, R., & Singh, G. P. (2019). Genotype × environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models. Crop Breeding and Applied Biotechnology, 19,
309-318. doi: 10.1590/1984-70332019v19n3a43.##Soltani, A., Alimagham, M., Nehbandani, A., Torabi, B., Zeinali, E., Zand, E., Ghassemi S., Vadez V., Sinclair T. R., & Van Ittersum, M. K. (2020). Modeling plant production at country level as affected by availability and productivity of land and water. Agricultural Systems, 183, 102859. doi: 10.1016/j.agsy.2020.102859.##Yan, W. (2016). Analysis and handling of G×E in a practical breeding program. Crop Science, 56, 2106-2118. doi: 10.2135/cropsci2015.06.0336.##Yan, W., & Kang, M. S. (2002). GGE-biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, Florida, USA. 271 p. doi: 10.1201/9781420040371.##Yan, W., Hunt, L. A., Sheng, Q., & Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40, 597-605. doi: 10.2135/cropsci2000.403597x.##Zobel, R., Wright, W. M. J., & Gauch, H. G. (1988). Statistical analysis of a yield trial. Agronomy Journal, 80, 388-393. doi: 10.2134/agronj1988.00021962008000030002x.
Cereal Research
Volume 13, Issue 3 - Serial Number 48
December 2024
Pages 215-229

Files

Share

How to cite

Statistics