https://www.banglajol.info/index.php/IJARIT/issue/feed International Journal of Agricultural Research, Innovation and Technology 2019-03-17T19:26:01+00:00 Mr M.S.A. Mamun editor.ijarit@gmail.com Open Journal Systems <p>Official journal of the IJARIT Research Foundation. Full text articles available.</p><p>International Journal of Agricultural Research, Innovation and Technology is included on <a title="DOAJ" href="https://doaj.org/toc/2224-0616?source=%7B%22query%22%3A%7B%22filtered%22%3A%7B%22filter%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22term%22%3A%7B%22index.issn.exact%22%3A%222224-0616%22%7D%7D%2C%7B%22term%22%3A%7B%22_type%22%3A%22article%22%7D%7D%5D%7D%7D%2C%22query%22%3A%7B%22match_all%22%3A%7B%7D%7D%7D%7D%2C%22from%22%3A0%2C%22size%22%3A100%7D" target="_blank">DOAJ</a>.</p> https://www.banglajol.info/index.php/IJARIT/article/view/40550 The perceived role of innovation platforms in addressing the agricultural value chain collective problems: an empirical application of transaction cost theory 2019-03-17T19:25:49+00:00 W Turyahikayo wturyahikayo@mubs.ac.ug FB Matsiko wturyahikayo@mubs.ac.ug JJ Okiror wturyahikayo@mubs.ac.ug BB Obaa wturyahikayo@mubs.ac.ug JH Hanf wturyahikayo@mubs.ac.ug <p>Agricultural innovation platforms are increasingly seen as a panacea for mitigating the agricultural value chain challenges through enabling the co-evolution of different elements in the innovation process. A number of previous studies on IPs show processes for their formation and contribution to innovations. Very few studies have attempted to investigate the perceived benefits from platforms as important determinants for actor participation. Using a sample of 319 randomly selected farmers from one innovation platform in Uganda, it was established that the uncertain markets for the agricultural output, sources of inputs and agricultural information were perceived to be the key motivators for the formation of the platform. The study found a positive significant relationship between transaction cost challenges of environmental uncertainty and structural embeddedness (p&lt;0.01) and frequency of interaction and structural embeddedness (p&lt;0.05). On the other hand, environmental uncertainty, asset specificity and frequency of interactions were significantly correlated with relational embeddedness (p&lt;0.05). However, the complexity of tasks in the value chain was not significantly correlated with structural and relational embeddedness (p≥0.05). It therefore means that to ensure effective participation and implementation of platform activities, efforts ought to be placed on fulfilling the platform’s promise as a forum for mitigation of transaction cost challenges such as inadequate markets for both output and inputs, customized products and inputs and lack of valuable agricultural information.</p> <p>Int. J. Agril. Res. Innov. &amp; Tech. 8 (2): 1-12, December, 2018</p> 2018-12-31T00:00:00+00:00 ##submission.copyrightStatement## https://www.banglajol.info/index.php/IJARIT/article/view/40551 Effects of periphyton on monoculture of Puntius gonionotus 2019-03-17T19:25:51+00:00 MI Hoque mansurft63@gmail.com AKMF Rahman nitoldhk@gmail.com MA Mansur mansurft63@gmail.com S Rahman mansurft63@gmail.com <p>An experiment was carried out on the effects of periphyton on monoculture of Thai sharputi, <em>Puntius gonionotus </em>at the Department of Fisheries Management, Bangladesh Agricultural University, Mymensingh during 7th August to 8th November. In treatment-1 bamboo poles were used as artificial substrate for periphyton production and in treatment-2 there was no artificial substrate (control). Each of the six ponds was stocked with 150 fingerlings of average size 6.41 cm and 3.60 g. The ponds were fertilized fortnightly with manure (cow dung) at a rate of 10 kg decimal-1, urea 60 g decimal-1 and triple super phosphate 90 g decimal-1. During the experimental period, the ranges of physico-chemical parameters viz. air temperature (31.0-35.5<sup>0</sup>C), water temperature (29-32<sup>0</sup>C), water depth (0.56-0.84 m), transparency (32-63 cm), dissolved oxygen (3.5-7.8 mg L<sup>-1</sup>), pH (6.8-7.9), total alkalinity (44-92 mg L<sup>-1</sup>), free CO<sub>2</sub> (1.5-4.0 mg L-1), phosphate-phosphorus (0.31-1.07 mg L<sup>-1</sup>) and nitrate-nitrogen (1.12-2.30 mg L<sup>-1</sup>) were within the productive range and more or less similar in the ponds under treatments-1 and 2. Among the observed biological parameters, there were 35 genera of phytoplankton composed of five groups and 13 genera of zooplankton composed of four groups in the experimental ponds. Thirty three genera under the groups of Bacillariophyceae, Chlorophyceae, Cyanophyceae and Euglenophyceae formed the periphyton on bamboo poles in the experimental ponds. Net fish production of the ponds with periphyton under treatment-1 was about 1.5 times higher than those of the ponds without periphyton (treatment-2). By analysis of variance, it was found that the net fish production of Thai sharputi under treatment-1 was significantly higher than that under treatment-2 (p&lt; 0.05). Finally, it can be concluded that periphyton is one of the preferable food item of Thai sharputi and it is also suggested that growth and production of Thai sharputi can be increased if arrangement is made for periphyton production.</p> <p>Int. J. Agril. Res. Innov. &amp; Tech. 8 (2): 13-23, December, 2018</p> 2018-12-31T00:00:00+00:00 ##submission.copyrightStatement## https://www.banglajol.info/index.php/IJARIT/article/view/40552 Effects of different amounts of organic fertilizers on growth and production of tilapia in monoculture 2019-03-17T19:25:52+00:00 P Chowdhury nitoldhk@gmail.com MZ Hossain nitoldhk@gmail.com NA Raushon nitoldhk@gmail.com MS Rahman nitoldhk@gmail.com <p>The experiment was conducted to determine the effects of different amounts of organic fertilizers on growth and production of Tilapia (monosex GIFT tilapia) in monoculture system for a period of 120 days. The experiment was carried out in six earthen ponds, which were situated at the south-east corner of the Fisheries Faculty Building under the Department of Fisheries Management, Bangladesh Agricultural University, Mymensingh. The experiment was designed with three treatments and each of them consisted of two replications. Fish population density was 120 fish per decimal for all the treatments. Ponds were treated with organic fertilizers (cow dung) at the rate of 2 kg, 4 kg and 6 kg per decimal were supplied fortnightly for treatment-I, treatment-II and treatment-III, respectively. The ranges of water temperature, transparency, dissolved oxygen, total alkalinity, free CO2, phosphate-phosphorus and nitrate-nitrogen found were 15.82 to 24.49 <sup>º</sup>C, 17.00 to 32.00 cm, 7.00 to 10.30 mg L<sup>-1</sup>, pH 7.20 to 7.90, 140.00 to 192.00 mg L<sup>-1</sup>, 2.00 to 6.00 mg L<sup>-1</sup>, 1.40 to 1.95 mg L<sup>-1</sup> and 3.30 to 3.73 mg L<sup>-1</sup>, respectively. All the physical and chemical parameters except temperature were within the productive range and more or less similar among all the ponds under three treatments. 18 genera of phytoplankton under five major groups and 9 genera of zooplankton under three major groups were identified in the experimental ponds. Average survival rate of fish under treatment-I, treatment-II, and treatment-III were 94.50%, 94.00% and 95.00%, respectively. The calculated net fish production under treatment-I was 3.554 ton ha-1 yr-1 and that under treatment-II was 3.648 ton ha<sup>-1</sup> yr<sup>-1</sup> and under treatment-III was 2.919 ton ha<sup>-1</sup> yr<sup>-1</sup>. The net fish productions under treatment-II and treatment-III were 102.64% and 82.13% comparing with treatment on which was taken for 100%. According to cost-benefit analysis, the ratios of net profit under treatments I, II, and III were 1:0.81, 1:0.54, and 1:0.04. According to specific growth rate, treatment-II was the best and survival rate of treatment-III was the best, and according to cost-benefit analysis, treatment-I (ratio 1:0.81) was the best. So, organic fertilizer at the rate of 2 kg per decimal (treatment-I) was considered the best among three treatments in this experiment.</p> <p>Int. J. Agril. Res. Innov. &amp; Tech. 8 (2): 24-31, December, 2018</p> 2018-12-31T00:00:00+00:00 ##submission.copyrightStatement## https://www.banglajol.info/index.php/IJARIT/article/view/40553 Farmers’ acceptance of insects as an alternative protein source in poultry feeds 2019-03-17T19:25:54+00:00 C Sebatta sebattac@gmail.com G Ssepuuya sebattac@gmail.com E Sikahwa sebattac@gmail.com J Mugisha sebattac@gmail.com G Diiro sebattac@gmail.com M Sengendo sebattac@gmail.com P Fuuna sebattac@gmail.com KKM Fiaboe sebattac@gmail.com D Nakimbugwe sebattac@gmail.com <p>The research aimed at assessing the perceptions and willingness of poultry farmers, feed traders and processors to use insects as a source of protein ingredient in poultry feed. The research used a cross-sectional design and a structured questionnaire to collect quantitative data from 287 poultry farmers and 71 feed traders from 3 culturally diverse regions in Uganda. The study findings revealed that majority of the farmers mixed their own poultry feed. Willingness to use insects in poultry feeds was expressed by over 70% of the farmers, feed traders and processors, indicating a strong potential demand for insect-based feeds. However, some poultry farmers doubted the possibility of acquiring insects (rearing/harvesting) in large enough quantities and the consumers’ acceptance of poultry products from birds raised on insect-based feed. Nonetheless, there is a high potential for adoption of insects for use as poultry feed if they can be produced in sustainable quantities that ensure the viability of poultry farming and the feed processing businesses.</p> <p>Int. J. Agril. Res. Innov. &amp; Tech. 8 (2): 32-41, December, 2018</p> 2018-12-31T00:00:00+00:00 ##submission.copyrightStatement## https://www.banglajol.info/index.php/IJARIT/article/view/40554 Yield response of selected irrigated rice varieties to varying N, P and K fertilizer regimes 2019-03-17T19:25:56+00:00 J Chirchir jedida.chirchir@gmail.com G Chemining’wa jedida.chirchir@gmail.com F Nzuve jedida.chirchir@gmail.com R Murori jedida.chirchir@gmail.com <p>Rice production has been inconsistent in Mwea irrigation scheme due to poor crop management practices and reduced soil fertility. Proper rice nutrition conserves the environment, increases sustained crop production, farmer’s crop yield and profits. A field experiment was conducted at MIAD Center, in Kirinyaga County, during 2016-17 and 2017- 18 to determine the response of rice varieties to different N, P and K fertilizer treatments. The trial was conducted in randomized complete block design, with three replications of 13 N, P and K fertilizer regimes as the main plots treatments and varieties Basmati 370 and BW 196 as the sub-plot treatment. The N kg ha<sup>-1</sup>: P<sub>2</sub>O5 kg ha<sup>-1</sup>: K<sub>2</sub>O kg ha<sup>-1</sup> fertilizer treatment ratios used were: 00:00:00, 60:40:40, 80:60:60, 100:80:80, 60:40:00, 80:60:00, 100:80:00, 60:00:40, 80:00:60, 100:00:80, 00:40:40, 00:60:60 and 00:80:80. Plant height, number of tillers hill-1, panicle length, and grain yield responded positively to fertilizer application, but 1000-grain weight did not. Variety BW 196 recording shorter plants and panicles, more tillers hill-1, higher grain weight and yield than variety Basmati 370. 00:40:40, 00:60:60, 00:80:80, 60:40:00 and the no-fertilizer control treatments recorded the least number of tillers hill<sup>-1</sup>. 60:40:40, 80:60:60, 100:80:80, fertilizer treatments had longer panicles than the no fertilizer control and 00:40:40. Except for 100:80:00 and 00:40:40, in the first season and 60:40:00, 80:60:00, 100:80:00 in the second season, all the fertilizer regimes increased grain yield relative to the control. The highest grain yield was realized in fertilizer regime 80:60:60, 100:80:80, 80:00:60 and 100:00:80. 80:00:60 is the recommended fertilizer regime.</p> <p>Int. J. Agril. Res. Innov. &amp; Tech. 8 (2): 42-46, December, 2018</p> 2018-12-31T00:00:00+00:00 ##submission.copyrightStatement## https://www.banglajol.info/index.php/IJARIT/article/view/40555 Role of micro and macronutrients enrich fertilizers on the growth performance of prawn (Macrobrachium rosenbergii), rohu (Labeo rohita) and mola (Amblypharyngodon mola) in a polyculture system 2019-03-17T19:25:57+00:00 MM Rahman shamimasultana87@gmail.com S Sultana shamimasultana87@gmail.com M Kabiraj shamimasultana87@gmail.com M Das shamimasultana87@gmail.com <p>A six month’s experiment was carried out in earthen ponds to evaluate the effect of micro and macro nutrients on the growth performance of Prawn (<em>Macrobrachium rosenbergii</em>), Rohu (<em>Labeo rohita</em>) and Mola (<em>Amblypharyngodon mola</em>) in a polyculture system during July to December 2017. The trial was conducted into two different treatments and one control each with three replications. In treatment-1, macronutrients enrich fertilizers like urea, TSP and molasses-yeast mixture were applied at the rate of 2.45, 2.45, and 3.09 (g m<sup>-2</sup> week-1), whereas in treatment-2 micronutrients composition mixer applied at the rate of 4.50 g m<sup>-2</sup> week<sup>-1</sup> while no micro and macronutrients were applied in control. The mean value of all water quality parameters showed no significant differences among control and two treatments when One-way ANOVA was performed except hardness. The average final mean individual weights of prawn, rohu and mola in control, treatment-1 and treatment-2 were 22.10, 24.35, and 24.70 g; 141.10, 190.60 and 182.20 g; 3.36, 3.67 and 3.73 g, respectively. The survival rates of various species namely prawn, rohu and mola in control, treatment-1 and treatment-2 were 73.33, 89.58 and 86.25%; 78.00, 74.00 and 74.00%; 10.67, 15.33 and 15.33%, respectively. There was no significant difference in the survival rates of prawn, rohu and mola among control and treatments. Production after six months of culture was 351.8, 461.5 and 445.3 kg ha<sup>-1</sup> in control, treatment-1 and treatment-2, respectively which were significantly different at 5% level of significance.</p> <p>Int. J. Agril. Res. Innov. &amp; Tech. 8 (2): 47-53, December, 2018</p> 2018-12-31T00:00:00+00:00 ##submission.copyrightStatement## https://www.banglajol.info/index.php/IJARIT/article/view/40556 Determinants of agricultural product export: evidence from a panel data analysis of east African countries 2019-03-17T19:25:58+00:00 M Leta leta4mijena@gmail.com BB Tegegn leta4mijena@gmail.com <p>Only 6 East African countries and 15 years (1996-2010) macroeconomic data was considered due limitation of data availability. Secondary data sources was used and necessary data were collected from the World Bank Development Indicator<strong>, </strong>Food and Agricultural Organization of the United State, and International Monetary fund base line data. Both descriptive and econometric models were employed. A Demand and Supply Linear Model was employed for the analysis. The selection test result confirmed that random effect to be an appropriate model for the analysis. Findings of the study revealed that the supply side of Agricultural Product Export were found to be statistically significant at P&lt; 0.01 level, while the demand side Ln Growth Domestic Product of China variables was found to be statistically significant at P&lt; 0.01.</p> <p>Int. J. Agril. Res. Innov. &amp; Tech. 8 (2): 54-60, December, 2018</p> 2018-12-31T00:00:00+00:00 ##submission.copyrightStatement## https://www.banglajol.info/index.php/IJARIT/article/view/40557 Long run relationship between economic growth, export, population and investment of Ethiopia 2019-03-17T19:25:59+00:00 M Leta leta4mijena@gmail.com L Zemedkun leta4mijena@gmail.com <p>The objective of this study is to examine the long-run relationship between economic growth, population, export, and investment in Ethiopia using annual data collected from the World development indicator, and FAOSTAT for 18 years from 1990-2007 E.C. Co integration and Granger Causality test. Stationary properties of the data and the order of integration of the data were tested using the Augmented Dickey-Fuller (ADF) test. Variables were non-stationary at levels but stationary in first differences. The long-run effects of Population, export and investment on Economic growth indicated that these variables are positively related to economic growth and statistically significant at 1% level.</p> <p>Int. J. Agril. Res. Innov. &amp; Tech. 8 (2): 61-69, December, 2018</p> 2018-12-31T00:00:00+00:00 ##submission.copyrightStatement##