Assess Correlation and Regression between Effective Traits on Corn Seed yield Af-fected Different Level of Irrigation and Micro Nutrient
محورهای موضوعی : Journal of Crop Nutrition Science
1 - Department of Soil Science, Ahvaz branch, Islamic Azad University, Ahvaz, Iran.
کلید واژه: Protein, Maize, Water deficit, Iron, crop production,
چکیده مقاله :
BACKGROUND: Presence of sufficient amounts of nutrients in plant organs results in better grain filling and increased grain weight. OBJECTIVES: This study was conducted to evaluation effect of different levels of irrigation and iron and zinc chelates on correlation between quantitative and qualitative traits of corn crop under warm and dry climate condition. METHODS: This research was carried out via Split plot experiment based on randomized complete blocks design with three replications along 2018-19 year. The treatments included water stress (60, 90 and 120 mm evaporation from class a evaporation pan) as a main plot and iron and zinc chelates (non-spraying, foliar spray of 2 per thousand and 5 per thousand) belonged to subplot. RESULT: Result of analysis of variance revealed effect of different level of irrigation regimes and spraying zinc and iron on all studied traits was significant at 1% probability level (instead Seed protein content, was significant at 5% probability level). Also interaction effect of treatment on all studied traits was significant at 1% probability level (instead 1000-seed weight, Seed protein content, Seed zinc content and Seed iron content was not significant). Simple correlation coefficients between traits these coefficients were estimated according to Pearson coefficient. Result showed the most positive and significant correlation between biologic yield (r=0.98**), 1000-seed weight (r=0.83**), number of seed per row (r=0.70**) and seed yield was observed. Also the traits of number of seed per ear (r= 0.59*), seed protein percent (r=-0.52*) had significant correlation with the seed yield at 5 percent probability level. CONCLUSION: Generally traits such as of biologic yield, 1000-seed weight, number of seed per row had the most positive-direct effects on Corn seed yield can be proposal to plant breeder to more studied process such as stepwise regression and path analysis.
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