Determine Correlation between Traits and Regression of Bread Wheat Affected Different Level of Combination Chemical and Biological Fertilizer and Several Type of Application Fertilizer
الموضوعات :
1 - MSc. Graduated, Department of Agronomy, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
الکلمات المفتاحية: Morphology, Seed, Yield</i>, Microbacterium, <i>Quantitative and Qualitative traits,
ملخص المقالة :
BACKGROUND: Seed yield, as the most important quantitative characteristic, will be a result of genotype, environment and genotype-environment interaction effects. OBJECTIVES: Current study was done to assess effect of different rate of combination fertilizer and biological fertilizer and type of application biofertilizer on effective characteristics on seed yield. METHODS: This research was carried out via factorial experiment based on randomized complete blocks design with three replications along 2020-2021 year. The treatments included different rate of combination Nitrogen fertilizer and Biofertilizer (Fla Wheat) (a1: 100% nitrogen with nonuse of Fla Wheat as control or N100/F0, a2: 70% Nitrogen with Fla Wheat or N70/F1, a3: 40% Nitrogen with Fla Wheat or N40/F1) and several methods of applying biofertilizer (Fla Wheat) (b1: 100% Seed treatment, b2: 100% by irrigation, b3: 50% seed treatment with 50% by irrigation). RESULT: According result of analysis of variance effect of different level of fertilizer combination, method of application fertilizes (instead NAR, CGR, spike length and number of spikelet per spike) and interaction effect of treatments (instead LAI, NAR, CGR, spike length, seed nitrogen content, seed protein content, number of spike per m2, number of spikelet per spike) on all measured traits was significant. The most positive and significant correlation was observed between seed yield and biologic yield (0.992**), harvest index (0.910**), 1000 seed weight (0.895**), number of seed per spikelet (0.771**), number of spike per square meter (0.707**) at 1% probability level. The traits of seed protein content (-0.680*), number of seed per spike (0.662*), spike length (0.653*), number of spikelet per spike (0.651*) and nitrogen protein content (-0.611*) had correlation with the seed yield was significant at 5% probability level. CONCLUSION: Characteristics such as of biologic yield, harvest index 1000 seed weight, number of seed per spikelet and number of spike per square meter had the most positive-direct effects on wheat seed yield can be proposal to plant breeder to more studied process such as stepwise regression and path analysis.
Alghamd, S. S. 2007. Genetic behavior of some selected faba bean genotypes. Afri. Crop Sci. Conf. Proc. 8: 709-714.
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.
Badolay, A., J. S. Hooda. and B. P. S. Malik. 2009. Correlation and path analysis in fababean (Vicia faba L.). J. Haryana Agron. 25: 94-95.
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.
Buttery, B. R. 1970. Effect of variation in leaf area index on the growth of maize and soybean. Crop Sci. 10: 9-13.
Ehdaie, B. and D. G. Waines. 2001. Sowing date and nitrogen rate effects on dry matter and nitrogen partitioning in bread and durum wheat. Field Crops Res. J. 73(1): 7-61.
Enyi, B. A. C. 1962. Comparative growth rates of upland and swamp rice varieties. Ann. Bot. 26: 467-487.
Gardner, F., R. Pearce. and R. L. Mitchell. 1985. Physiology of crop plants. Iowa State Univ. Press. Ames.
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.
Ghobary, H. M. M. and S. A. M. Abd-Allah. 2010. Correlation and path coefficient studies in common bean (Phaseolus vulgaris L.). J. Plant Prod. 9: 1233–1239.
Ismaili, A., S. S. Sohrabi, S. Z. Hosseini, R. Namdarian. and D. Godarzi. 2017. Genotypic correlation and path analysis of some traits related to oil yield and grain yield in Canola (Brassica napus L.) under non-stress and water deficit stress conditions. Iranian J. Field Crops Res. 14(4): 646-664. (Abstract in English)
Jafarnodeh, S., F. Sheikh. and A. Soltani. 2017. Identification of plant characteristics related to seed yield of Faba bean (Vicia faba L.) genotypes using regression models. Iranian J. Crop Sci. 19(3): 208-219. (Abstract in English)
Kumar, A., B. Singh. and J. Sing. 2001. Response of macanip heat (T. durum) nitrogen. Phosphorus and sodic water on loamy-sand of southwest hiragana. Indian J. 46(1): 118-121.
Mardin, Sh. 2017. Compare crop production of canola genotypes under rainfed condition. Proc. Intl. Crop Sci. Cong. pp: 17-20.
Marjanovic-Jeromela, A., A. Kondic-Spika, D. Saftic-Pankovic, R. Marinkovic. and N. Hristov. 2009. Phenotypic and molecular evaluation of genetic diversity of rapeseed (Brassica napus L.) genotypes. Afr. J. Biotech. 8(19): 4835-4844.
Sharifi, P., H. Astaraki, F. Sheikh. and A. Izadi-Darbandi. 2020. Study the relationships between yield and yield component of faba bean (Vicia faba L.) genotypes by multivariate analyses. Iranian J. Pulses Res. 11(1): 74-87. (Abstract in English)
Shiapchan, Z. Z. 2012. Effect of planting date and plant density on growth and agronomic traits of rapegrain cultivars. MSc Thesis. Faculty of Agriculture, Tamal Univ. 121 pp.
Soltani Howyzeh, M., M. Moradi, T. Saki nezhad, S. Zaker nezhad. and A. Etaa. 2018. Evaluation of the relationships among yield and related traits in spring Canola cultivars using path analysis. J. Crop Breed. 10(27): 125-134. (Abstract in English)
Tadesse T., M. Fikere, T. Legesse. and A. Parven. 2011. Correlation and path coefficient analysis of yield and its component in faba bean (Vicia faba L.) germplasm. Inter. J. Biodiv. Conserv. 3: 376-382.
Tian, Z. 2017. Comparative growth and seed yield of Canola under dry land conditions. Proc. Intl. Crop Sci. Cong. pp: 45-50.
Ulukan, H., G. Mustafa. and K. Siddik. 2003. A Path Coefficient Analysis Some Yield and Yield Components in Faba Bean (Vicia faba L.) Genotypes. Pak. J. Biol. Sci. 6: 1951-1955.
Xianc, A. 2018. Assess correlations with seed yield and agronomic traits of rapeseed cultivar and determine regression and path analysis. 2th Cong. Approach to Achieve Sust. Agric. pp: 109-120.
