Effect of Organic Fertilizer Type and Amount on Seed Yield and Nutrients Accumulation in Leaves of Three Soybean (Glycine Max (L.) Merr) Genotyps

Authors

Abstract

This fertility experiment was carried out using split plots based on a randomized complete block design of three replications in 2006 at Sari Agricultural Sciences and Natural Resources University. The aim of the experiment was to investigate some macronutrient and micronutrient accumulation in leaves of different soybean cultivars as influenced by some organic fertilizer types and levels. Main plots included 8 fertilizer treatments consisting of 20 and 40 tons per hectare of compost, vermicompost and sewage sludge; chemical fertilizer treatment (75 Kg ha-1 of potassium sulfate and ammonium phosphate) as well as control (with no application of organic or chemical fertilizers). Sub plots consisted of three genotypes of soybean (032, 033 and JK). Results showed that maximum grain yield was recorded in levels of 20 and 40 ton ha-1 of sewage sludge (2663.1 and 2842.1 Kg ha-1, respectively), 40 ton ha-1 municipal compost (2791.4 Kg ha-1) and chemical fertilizer (2676.7 Kg ha-1). Among fertilizers 40 ton per hectare of municipal compost, vermicompost and sewage sludge produced significantly higher (P < 0.05) grain yield, as well as higher nitrogen, phosphorous, copper and iron content in leaves as compared to other treatments. Ferthermore, maximum grain yield, nitrogen and phosphorous content of leaves were observed in JK (2535 Kg ha-1, 3.9 and 0.25% respectively) and 033 (2667.4 Kg ha-1, 3.7 and 0.26% respectively). The results of mean comparisons revealed that interaction effects of fertilizer and cultivar exerted significant effect on Cu content in soybean leaves so that most Cu accumulations were observed in 032 and 033 lines when 40 tons per hectare of municipal compost was applied. Grain yield had a significant and positive correlation (r= 0.35**,
r= 0.59** and r= 0.46**, respectively) with N, P, and K content of leaves.

Keywords

Files

Share

How to cite

Statistics