Yield analysis of bread wheat under saline conditions using some statistical procedures
Keywords:
Salt stress, bread wheat, factor analysis, principal components, cluster analysisAbstract
Study on the interrelationships between yield and related yield traits will improve the efficiency of breeding programs through the use of appropriate selection indices. In this research, the relationship among wheat seed yield and its contributing components under salt stress condition were investigated by using three statistical procedures including; principal components, factor analysis and cluster analysis. The experiment was conducted under saline field conditions based on randomized complete block design with three replications. Electrical conductivity of irrigation water was 10ds.m-1. Results indicated that biological yield, plant height and chlorophyll content were the most effective variables influencing seed yield. Based on the results, it seems that high yield of wheat plants under saline field conditions can be obtained by selecting breeding materials with high biological yield, harvest index and chlorophyll content.
References
Annicchiarico, P., Pecetti, L., 1998. Yield vs. morphophysiological trait-based criteria for selection of durum wheat in a semi-arid Mediterranean region (northern Syria). Field. Crop. Res., 59, 163-173.
Araus, J., Amaro, T., Voltas, J., Nakkoul, H., Nachit, M., 1998. Chlorophyll fluorescence as a selection criterion for grain yield in durum wheat under Mediterranean conditions. Field. Crop. Res., 55, 209-223.
Arduini, I., Masoni, A., Ercoli, L., Mariotti, M., 2006. Grain yield, and dry matter and nitrogen accumulation and remobilization in durum wheat as affected by variety and seeding rate. Euro. J. Agron., 25, 309-318.
Ashraf, M., McNeilly, T., 1988. Variability in salt tolerance of nine spring wheat cultivars. J. Agron. Crop. Sci., 160, 14-21.
Ashraf, M., Wu, L., 1994. Breeding for salinity tolerance in plants. Crit. Rev. plant Sci., 13, 17-42.
Boggs, J.L., Tsegaye, T., Coleman, T.L., Reddy, K., Fahsi, A., 2003. Relationship between hyperspectral reflectance, soil nitrate-nitrogen, cotton leaf chlorophyll, and cotton yield: a step toward precision agriculture. J. Sustain. Agri., 22, 5-16.
Bronson, K.F., Chua, T.T., Booker, J., Keeling, J.W., Lascano, R.J., 2003. In-season nitrogen status sensing in irrigated cotton. Soil Sci. Soc. Am. J., 67, 1439-1448.
Dehghani, H., Dvorak, J., Sabaghnia, N., 2012a. Biplot Analysis of Salinity Related Traits in Beard Wheat (Triticum aestivum L.). Ann. Biol. Res., 3 (7), 3723-3731.
Dehghani, H., Dvorak, J., Sabaghnia, N., 2012b. Graphic analysis of biomass and seed yield of beard wheat in salt stress condition. Ann. Biol. Res., 3 (9), 4246-4253.
Donald, C., Hamblin, J., 1976. The biological yield and harvest index of cereals as agronomic and plant breeding criteria. Advan. Agron., 28, 361-405.
El-Deeb, A., Mohamed, N., 1999. Factor and cluster analysis for some quantitative characters in sesame (Sesamum indicum L.). The Annual Conference ISSR., Cairo University.
Everitt, B.S., Dunn, G., 1992. Applied Multivariate Data Analysis. Oxford University Press, New York, NY.
Flowers, T.J., 1999. Salinisation and horticultural production. Sci. Horti., 78, 1–4.
Ghassemi, F., Jakeman, A.J., Nix, H.A., 1995. Salinisation of land and water resources: human causes, extent, management and case studies. Ed.Eds, Cab International.
Gitelson, A.A., Merzlyak, M.N., 2003. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J. plant physiol., 160, 271-282.
Hasegawa, P.M., Bressan, R.A., Zhu, J.K., Bohnert, H. J., 2000. Plant cellular and molecular responses to high salinity. Ann. Rev. Plant. Biolo., 51, 463-499.
Houshmand, S., Arzani, A., Maibody, S.A.M., Feizi, M., 2005. Evaluation of salt-tolerant genotypes of durum wheat derived from in vitro and field experiments. Field Crops Res., 91, 345-354.
Jaynes, D., Kaspar, T., Colvin, T., James, D., 2003. Cluster analysis of spatiotemporal corn yield patterns in an Iowa field. Agron. J., 95, 574-586.
Kabanova, S., Chaika, M., 2001. Correlation analysis of triticale morphology, chlorophyll content and productivity. J. Agron. Crop Sci., 186, 281-285.
Kaiser, H.F., 1960. The application of electronic computers to factor analysis. Educational and psychological measurement, 20, 141–151.
Leilah, A., Al-Khateeb, S., 2005. Statistical analysis of wheat yield under drought conditions. J. Arid Environ., 61, 483-496.
Leilah, A., Badawi, M., El-Moursi, S., 1988. Yield analysis of soybean. J. Agric. Sci., 13, 2344-2351.
Maas, E.V., Lesch, S.M., Francois, L.E., Grieve, C.M., 1994. Tiller development in salt-stressed wheat. Crop Sci., 34, 1594-1603.
Milani, P., Malakouti, M., Khademi, Z., Balali, M., Mashayekhi, M., 1998. A fertilizer recommendation model for the wheat field of Iran. Soil and Water Research Institute, Tehran, Iran.
Moghaddam, M., Ehdaie, B., Waines, J., 1998. Genetic variation for and interrelationships among agronomic traits in landraces of bread wheat from southwestern Iran. J. Genet. Breed., 52, 73-82.
Mohamed, N., 1999. Some statistical procedures for evaluation of the relative contribution for yield components in wheat. Zagazig J. Agri. Res., 26, 281-290.
Mohammadi, M., Karimizadeh, R., Shefazadeh, M.K., Sadeghzadeh, B., 2011. Statistical analysis of durum wheat yield under semi-warm dry land condition. Aust. J. Crop Sci., 5, 1292-1297.
Munns, R., James, R.A., 2003. Screening methods for salinity tolerance: a case study with tetraploid wheat. Plant and Soil., 253, 201-218.
Munns, R., Schachtman, D., Condon, A., 1995. The significance of two-Phase growth response to salinity in wheat and barley. Aus. J. Plant Physiol., 22, 561-569.
Munns, R., Tester, M., 2008. Mechanisms of salinity tolerance. Annu. Rev. Plant Biol., 59, 651-681.
Naser, S., Leilah, A., 1993. Integrated analysis of the relative contribution for some variables in sugar beet using some statstical techniques. Bulletin of the Faculty of Agriculture, University of Cairo., 44, 253-266.
Peñuelas, J., Filella, I., 1998. Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends plant sci., 3, 151-156.
Ramesh, K., Chandrasekaran, B., Balasubramanian, T., Bangarusamy, U., Sivasamy, R., Sankaran, N., 2002. Chlorophyll dynamics in rice (Oryza sativa) before and after flowering based on SPAD (chlorophyll) meter monitoring and its relation with grain yield. J. Agron. Crop Sci., 188, 102-105.
Richards, R., Dennett, C., Qualset, C., Epstein, E., Norlyn, J., Winslow, M., 1987. Variation in yield of grain and biomass in wheat, barley, and triticale in a salt-affected field. Field Crops Res., 15, 277-287.
Sabaghnia, N., Dehghani, H., Alizadeh, B., Mohghaddam, M., 2010. Interrelationships between seed yield and 20 related traits of 49 canola (Brassica napus L.) genotypes in non-stressed and water-stressed environments. Span. J. Agri. Res., 8, 356-370.
SAS Institute Inc., 2011. SAS/STAT user’s guide, second edition. SAS institute Inc., cary, Nc.
Shannon, M.C., 1997. Adaptation of plants to salinity. Advan. Agron., 60, 75-120.
Singh, S.P., 2001. Broadening the genetic base of common bean cultivars. Crop Sci., 41, 1659-1675.
SPSS, I., 2010. SPSS 19. Users Guied. Chicago, IL., USA.
Wright, S., 1921. Correlation and causation. J. Agri. Res., 20, 557-585.
Zhu, J. K., 200). Plant salt tolerance. Trends in plant science, 6, 66-71.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 Amir Gholizadeh, Hamid Dehghani, Yan Dvorak
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
