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Economic Evaluation of Nitrogen Efficient Maize Genotypes in Western Ethiopia
- Tolessa Debele; Du Preez C. C.; Ceronio G. M.
- Low soil fertility is one of the major constraints to maize production in western Ethiopia. The soils are deficient, particularly in Nitrogen (N). Experiments were conducted to identify N efficient maize genotypes and determine economically profitable N level for N efficient open-pollinated and hybrid maize. The experiments were conducted on-farmers fields at five locations, namely, Bako, Shoboka, Tibe, Ijaji and Gudar in western Ethiopia. Two set of experiments comprising of five open-pollinated and five hybrid maize genotypes were combined with six N application levels in complete factorial arrangement. The N levels ranged from 0 to 230 kg N ha-1 with 46 kg N ha-1 intervals. The experiments were laid out in a randomized complete block design with three replications. Results revealed that out of the open-pollinated and hybrid maize genotypes evaluated, only Ecaval-1 and CML373/ CML202/ CML384, respectively, were regarded as N use efficient genotypes as they were able to perform outstandingly well at both the 0 and 230 kg N ha-1 level. These two genotypes yielded on average 5.9% at the lowest N level and 17.5% at the highest N level better than the two local checks, viz. Kulani and BH 540. Therefore, these two N use efficient genotypes qualify for recommendation to resource-poor farmers and subjected to economic analysis using the partial budget procedure to determine rate of N that would give acceptable returns at low risk to farmers. Economic analysis indicated that application of 46 and 92 kg N ha-1 for open-pollinated genotype Ecaval-1 and hybrid CML373/ CML202/ CML384, respectively, were agronomically optimum and economically viable within 20% variability in cost of production inputs such as N fertilizer and value of maize yields
- Select Volume / Issue:
- Year:
- 2017
- Type of Publication:
- Article
- Keywords:
- Economic Evaluation; Maize; Nitrogen Efficient; Partial Budget; Price Variability
- Journal:
- IJAIR
- Volume:
- 6
- Number:
- 1
- Pages:
- 217-221
- Month:
- July
- ISSN:
- 2319-1473
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