Grain Yield and Economic Importance of Bio Fertilizer Rates of Soybean at Begi and Asossa Districts Western Ethiopia

A field experiment was conducted on Nitisols of Asossa Agricultural Research Centre during 2017/18 to 2018/2019 cropping season toinvestigate the response of yieldpartial budget analysis to biofertilizer rates.The N fertilizer treatments considered in the study consisted of six levels (rates) of biofertilizer, one nationally recommended inorganic N and negative control of N.The treatments consists of: 125 g ha-1 (T1), 250 g ha-1 (T2), 500 g ha-1(T3), 625 g ha-1(T4), 750 g ha-1(T5), 900 g ha-1 (T6), negative control (T7) and 18kg N ha-1. The treatments were laid out as a Randomized Complete Block Design with three replications.The analysis of variance revealed that bio-fertilizer rates significantly (P < 0.01) affected grain yield at Begi district, while non-siginificant (p<0.05) at Asossa district. The maximum (3483.7 kg ha-1and 1750.9 kg ha-1 ) grain yield was recorded from 500 g ha-1bio-fertilizer at Begi and Asossa districtrespectively. The application of 500 g ha- 1biofertilizer had the highest net-benefit of 20850.8 ETB, followed by 125 g ha -1biofertilizer which also had a total of 20196.8 ETB net benefit at Asossa district, while the application of 500 g ha- 1biofertilizerhad the highest net-benefit of 41644.4 ETB, followed by 125 g ha-1biofertilizer which also had a total of 38315.6 ETB net benefit at Begi district. The application of 500 g ha-1 bio-fertilizerha-1 had highest net benefit. Therefore, we recommended the treatment 500 g ha-1 since it produced high marginal rate of return, high net benefit and relatively small total cost of production, for soybean production in Begi and Asossa area.

Data and Resources

Additional Info

Field Value
Author Bakala Anbessa * , Dessie Almaw and Zerihun Getachew
Maintainer EIAR
Last Updated December 30, 2023, 20:39 (UTC)
Created August 7, 2023, 15:46 (UTC)
contributor Anbessa, Bakala
creator Bakala Anbessa * , Dessie Almaw and Zerihun Getachew
date 2023-07-05T00:00:00
harvest_object_id bb42bfbe-47a8-4b4a-aacc-81b76be368db
harvest_source_id b7467cdf-8775-49cd-b162-b68283e0d13b
harvest_source_title EIAR Open Research Data
identifier https://doi.org/10.20372/eiar-rdm/VLRA18
metadata_modified 2023-07-05T06:00:01