Assess Correlation between Traits Affected Different level of Nitrogen Fertilizer (Urea Source) and Interval between Irrigation Round of Sorghum
الموضوعات :Bahareh Jahangiri 1 , Mojtaba Alavifazel 2 , Mohamad Reza Dadnia 3
1 - MSc. Graduated, Department of Agronomy, Khuzestan Science and Research Branch, Islamic Azad University, Ahvaz, Iran. |Department of Agronomy, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
2 - Department of Agronomy, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
3 - Department of Agronomy, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
الکلمات المفتاحية: Nutrition, dry weight, Yield</i>, <i>Crop production, Relation between traits,
ملخص المقالة :
BACKGROUND: Knowing about grain yield issue and its components plays an important role for being successful in evaluative programs. Success in breeding and having fruitful varieties of agricultural products with a higher quality depends on knowledge about genetic grain yield controlling and its relation with seed yield components, also to phonologic traits and forage quality. OBJECTIVES: This study was conducted to predict the most effective traits on sorghum seed yield according correlation between characteristics in response to apply different interval irrigation round and urea fertilizer. METHODS: To investigation the effect of different level of Nitrogen fertilizer and irrigation method on crop production of Sorghum (Speed feed cultivar) a farm research was arranged via split plot experiment based on the randomized complete block design with three replications in 2012. Main plots were included apply three levels of interval between irrigation (I1: 8 day; I2: 12 day; I3: 16 day) and the sub plots consisted three level of urea fertilizer (N1: 200, N2: 300, N3: 400 kg.ha-1). RESULT: According result of analysis of variance effect of different level of irrigation regime, urea fertilizer and interaction effect of treatments on all measured traits (instead harvest index) was significant. Simple correlation coefficients between traits were estimated according to Pearson coefficient. The most positive and significant correlation was observed in total dry weight (r=0.91**), fresh forage yield (r=0.85**) and number of seed per panicle (r=0.79**). The traits of Panicle length (0.69*), 1000-seed weight (r=0.67*), number of racemes in panicle (0.64*) number of fertile tiller (r=0.61*) and seed protein content (0.51*) had correlation with the seed yield was significant at 5% probability level. CONCLUSION: According to the results of this research, traits of total dry weight, fresh forage yield and number of seed per panicle, had the most positive-direct effects on Sorghum seed yield can be proposal to plant breeder to more studied process such as stepwise regression and path analysis.
Abderrahmane, H., F. Abidine, B. Hamenna. and B. Ammar. 2013. Correlation, path analysis and stepwise regression in durum wheat (Triticum durum L.) under rainfed conditions. J. Sust. Agri. 3(2): 122-131.
Abozary Gasaforodi, A. 2002. Genetic and morphological diversity of correlation and data storage protein electrophoresis in rice varieties. MSc Thesis. Fac. Agri. Guilan Univ. 119 pp. (Abstract in English)
Al-Salim, S. H. F., M. M. Saleh, R. H. A. ALbourky. and A. L. Abdurahman. 2017. Correlation and regression analysis in sorghum under different levels of nitrogen. J. Sci. Agri. 1: 69-78.
Angadi, S. V., H. W. Cufprth, B. B. Mc Conkey. and Y. Gan. 2003. Yield adjustment by canola grown at different plant population under semiarid conditions. Crop Sci. 43: 1358-1360.
AOAC. 1990. Official methods of analysis, association of official analytical chemists. 15th Ed. Arlington. Virginia. USA.
Artoz, M. 2012. Determining relationships among yield and some yield components using path analysis of sorghum. Msc. Thesis. Faculty of Agri. Sci. Ental Univ. 121 pp.
Bello, O. B. and G. Olaoye. 2009. Combining ability for maize grain yield and other agronomic characters in a typical southern guinea savanna ecology of Nigeria. Afr. J. Biotechnol. 8 (11): 2518-2522.
Bremner, J. M. and G. A. Breitenbeck. 1983. A simple method for determination of ammonium in semi micro Kjeldahl analysis of soils and plant materials using a block digester. Soil Sci. Plant Anal. 14: 905-913.
Falconer, D. S. 1981. Introduction to quantitative genetics. Second Edition. Longman. New York. USA.
Garcia del Moral, L. F., J. M. Ramos, M. B. Garcia del Moral. and P. Jimenez-Tejada. 1991. Ontogenetic approach to grain production in spring barley based on path-coefficient analysis. Crop Sci. 31: 1179-1185.
Gardner, F., R. Pearce. and R. L. Mitchell. 1985. Physiology of crop plants. Iowa State Univ. Press. Ames. USA.
Ghalejoughi, E. S., S. Lack. and M. A. Fazel. 2013. Analysis of correlation and stepwise regression between grain yield and related traits of Corn hybrids. Intl. J. Agri. Crop Sci. 6(2): 100-102.
Jafari, A. 2001. Genetic distance of 29 permanent ryegrass genotypes by cluster analysis based on yield and morphological traits. Genetic modification of plants for forestry research. Res. Inst. Forests Range Pub. 6: 79-91.
Joka, Z. 2016. Determine appropriate planting date on Canola cultivars and promising to study the correlation between yield components. Msc. Thesis. Faculty of Agri. Putan Univ. 104 pp.
Kumar, N. V., C. V. C. M. Reddy. and P. V. R. M. Reddy. 2012. Study on Character Association in Rabi Sorghum (Sorghum bicolor L. Moench). Plant Arch. 12(2):1049-1051.
Majumder, D. A. N., A. K. M. Shamsuddin, M. A. Kabir. and L. Hassan. 2008. Genetic variability, correlated response and path analysis of yield and yield contributing traits of spring wheat. J. Bangladesh Agri. Univ. 6(2): 227-234.
Menapour, A., M. Nabipour. and R. Mamaghani. 2006. Correlation Study and Path analyzes of seed yield in Rapeseed cultivars. 9th Cong. Agronomy and Plant Breeding. Tehran Univ. Tehran. Iran. (Abstract in English)
Mohammadi, M., P. Sharifi, R. Karimizadeh, M. Kazem. and M. K. Shefazadeh. 2012. Relationships between grain yield and yield components in bread wheat under different water availability (dry land and supplemental irrigation conditions). Not. Bot. Hortic. Agro Bot. 40(1): 195-200.
Nemati, A., M. Sedghi, R. S. Sharifi. and M. N. Seiedi. 2009. Investigation of correlation between traits and path analysis of Corn (Zea mays L.) grain yield at the climate of Ardabil region (Northwest Iran). Not. Bot. Hort. Agro-Bot. Cluj. 37(1): 194-198.
Newman, Y., J. Erickson, W. Vermerris. and D. Wright. 2010. Forage Sorghum (Sorghum bicolor): Overview and Management. University of Florida IFAS Extension. http://edis.ifas.ufl.edu.
Qulipor, A., N. Latifi, K. Qasemi. and M. Moqadam. 2004. Comparative Growth and Grain Yield of Canola under Dry Land Conditions in Gorgan. J. Agri. Sci. Natural Res. 11(1): 5-14. (Abstract in English)
Rahnama, A. A. and A. Bakhshandeh. 2005. Effect of sowing dates and direct seeding and transplanting methods on agronomic characteristics and grain yield of Canola under Ahvaz conditions. Iranian J. Crop Sci. 7(4): 324-336. (Abstract in English)
Ramos, A. 2015. Correlation and path analysis and yield-related traits in maize. Msc. Thesis. Faculty of Agri. Sci. Arta University. 104 pp.
Sadia, A., A. Asghar, I. A. Qamar, M. Arshad. and S. Salim. 2001. Correlation of economically important traits in sorghum varieties. Department of Biological Science. University of Arid agriculture. Pak. J. Biol. Sci. 1(5): 330-331.
Sarvari, S. M. and S. A. Beheshti. 2012. Relationship between grain yield and plant characteristics in grain sorghum genotypes under drought stress conditions. Iranian J. Crop Sci. 14(2), 183-201.
Singh, R. K. and B. D. Chaudhary. 1985. Biometrical methods in quantitative genetic analysis. Third edition. Kalyani Publishers. New Delhi. India. pp: 69-78.
Sokoto, M. B. and I. U. Abubakar. and A. U. Dikko. 2012. Correlation analysis of some growth, yield, yield components and grain quality of wheat (Triticum aestivum L.). Nigerian J. Basic Appl. Sci. 20(4): 349-356.
Undersander, D. J., L. H. Smith, A. R. Kamiski, K. A. Kelling. and J. D. Doll. 2013. Sorghum-Forage. Alternative field crops manual. Univ. Wisconsin Cooperative Extension.