Determine Correlation between Traits and Regression of Bread Wheat Affected Different Level of Combination Chemical and Biological Fertilizer and Several Type of Application Fertilizer

Subject Areas : Journal of Crop Nutrition Science

Zhaleh Ahmadi ¹

1 - MSc. Graduated, Department of Agronomy, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.

Received: 2022-04-13 Accepted : 2022-06-16 Published : 2022-06-01

Keywords: Morphology, Seed, Yield</i>, Microbacterium, <i>Quantitative and Qualitative traits,

Abstract :

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.

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