- Abarshahr, M., Rabiei, B. & Samizadeh-Lahigi, H. (2011). Assessing genetic diversity of rice varieties under drought stress conditions. Notulae Scientia Biologicae, 3: 114-123.
- Bagheri, N., Babaeian-Jelodar, N. & Pasha, A. (2011). Path coefficient analysis for yield and yield components in diverse rice (Oryza sativa L.) genotypes. Biharean Biologist, 5 (1): 32-35.
- Bates, I. S., Waldern R. P. & Teare, I. D. (1973). Rapid determination of free proline water stress studies. Plant and Soil, 39: 205-207.
- Bonnet, M., Camares, O. & Veisseire, P. (2000). Effects of zinc and influence of Acremonium lolii on growth parameters, chlorophyll a fluorescence and antioxidant enzyme activities of ryegrass (Lolium perenne L. cv Apollo). Journal of Experimental Botany, 51: 945–953.
- Bouman, B. A. M., Peng, S., Castaňeda, A. R. & Visperas, R. M. (2005). Yield and water use of irrigated tropical aerobic rice systems. Agricalture Water Management, 74: 87–105.
- Chakravorty, A., Ghosh P. D. & Sahu, P. K. (2013). Multivariate analysis of phenotypic diversity of landraces of rice of west bengal. American Journal of Experimental Agriculture, 3(1): 110-123.
- Cha-Um, S., Yooyongwech, S. & Supaibulwatana, K. (2010). Water deficit stress in the reproductive stage of four indica rice (Oryza sativa L.) genotypes. Pakistan Journal of Botany, 42(5): 3387-3398.
- Fentie, D., Alemayehu, G., Siddalingaiah, M. & Tadesse, M. (2014). Genetic Variability, Heritability and Correlation Coefficient Analysis for Yield and Yield Component Traits in Upland Rice (Oryza sativa L.). East African Journal of Sciences, 8 (2): 147-154.
- GenStat. (2009). GenStat for Windows 12th Edition. VSN International, Hemel Hempstead, UK.
- Ghiasy, M., Farahbakhsh, H., Sabouri, H. & Mohamadi nejad, GH. (2013). Evaluation of rice cultivars in drought and normal conditions based on sensitive and tolerance indices. Electronic Journal of Crop Production, 6 (4): 55-75. (In Farsi)
- Ghorbani, H., Samizadeh Lahiji, H. A., Rabiei, B. & Allahgholipour, M. (2011). Grouping different rice genotypes using factor and cluster analyses. Journal of Sustainable Agriculture and Production Science, 21(3): 89-104. (In Farsi)
- Lanceras, J. C., Griengrai, P., Boonrat, J. & Theerayut, T. (2004). Quantitative trait loci associated with drought tolerance at reproductive stage in rice. Plant Physiology, 1: 384-399.
- Lichtenthaler, H. K. & Wellburn, A. R. (1983). Determinations of total carotenoids and chlorophylls a and b of leaf extracts in different solvents. Biochemical Society Transactions, 11: 591 - 592.
- Majidimehr, A., Amiri-Fahliani, R. & Masoumiasl, A. (2014). Study of biochemical and chemical traits of different rice genotypes under salinity stress. Cereal Research, 4 (1): 45-58. (In Farsi)
- Nam, N. H., Chauhan, Y. S. & Johansen, C. (2001). Effect of timing of drought stress on growth and grain yield of extra-short-duration pigeonpea lines. Journal of Agricultural Science, 136: 179–189.
- Nandan, R., Sweta, D. & Singh, S. K. (2010). Character association and path analysis in rice (Oryza sativa L.) genotypes.World Journal of Agricultural Sciences, 6 (2): 201 - 206.
- Rahimi, M., Rabiei, B. Ramezani, M. & Movafegh, S. (2010). Evaluation of agronomic traits and determine the variables to improve rice yield. Iranian Journal of Field Crops Research, 8(1): 111-119. (In Farsi)
- Raychaudhuri, S., Stuart, J. M. & Altman, R. B. (2000). Principal components analysis to summarize microarray experiments: Application to sporulation time series. Pacific Symposium on Biocomputing, 455-466.
- Safaei Chaeikar, S., Samizadeh, H., Rabiei, B. & Esfahani, M. (2009). Correlation of agronomic traits under optimum irrigation and water stress in rice (Oryza sativa L.). Journal of Sciences and Technology of Agriculture and Natural Resources, 13(48): 91-105. (In Farsi)
- Sanni, K. A., Fawole, I., Ogunbayo, A., Tia, D., Somado, E. A., Futakuchi, K., Sié, M., Nwilene, F. E. & Guei, R. G. (2010). Multivariate analysis of diversity of landrace rice germplasm. In: Innovation and Partnerships to Realize Africa’s Rice Potential. Proceedings of the Second Africa Rice Congress, Bamako, Mali, 22–26 March 2010. Africa Rice Center (AfricaRice), Cotonou, Benin. pp. 1.1.1-1.1.8.
- SES. (2002). Standard evaluation system for rice. International Rice Research Institute Manila, Philippines.
- SPSS-Inc. (2010). IBM SPSS statistics 19 core system user’s guide. USA: SPSS Inc., an IBM Company Headquarters.
- Tao, H., Brueck, H., Dittert, K., Kreye, C., Lin, S. & Sattelmacher, B. (2006). Growth and yield formation for rice (Oryza sativa L.) in the water-saving ground cover rice production system (GCRPS). Field Crops Research, 95: 1–12.
- Venkata Lakshmi, M., Suneetha, Y., Yugandhar, G. & Venkata Lakshmi, N. (2014). Correlation studies in rice (Oryza sativa L.). International Journal of Genetic Engineering and Biotechnology, 5(2): 121-126.
- Worede, F., Sreewongchai, T., Phumichai, Ch. & Sripichitt, P. (2014). Multivariate analysis of genetic diversity among some rice genotypes using morpho-agronomic traits. Journal of Plant Science, 9(1):14-24.
- Yan, W. & Rajcan, I. (2002). Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science, 42: 11-20.
- Yazdani, M., Kochak, M. & Bagheri, H. (2014). Segregating rice genotypes by cluster analysis procedure at different salt stress condition. Advances in Environmental Biology, 8(10): 383-387.
|
