The objective of this study is to examine the training needs of agricultural extension workers in various provinces of Iraq. Validate them and develop a method of identification of training needs for agricultural extension agents. The data collected were analyzed by determination of the mean of the responses from the respondents and one-way of Variance (ANOVA). Using Borich need Assessment model for training needs, the questionnaire survey was adopted for a population of 300 professionals in clients, consultants, and contracting organizations. The majority of respondents were in all kinds of training needs were above the value of 3 meaning that all of them were strongly needed, the highest needed training was on the name of method with mean value 3.74, the moderate needed training was on use computer and ICT with mean = 3.26 and the lowest needed training was on the management with mean =3.15. The study revealed that the majority of respondents in the first categories in the age from 31 to 40 years 37.32%, experience from one to five years 40.94%, the number of training courses from 1 to 5 courses 39.86%, for the education level had a bachelor degree 71.74%, origin from the urban 80.80%, and attended training 81.16%, marital status 73.19%, the gender a male 63.77%, and specialization from agriculture department 71.38%. The results shows significant relationship with provinces, marital status, location of work, training, and the number of training courses. The Extension Agents agreed that they needed training in studies areas of their agriculture.
Aims: Farmers of Bangladesh use a less amount of urea fertilizer compared to the nutrient requirement and soil fertility status. Hence, a significant gap between actual and recommended doses of fertilizers used by farmers have been reported in many instances. Therefore, this study assessed farmers’ performance towards fertilizer application, and explored the contribution of selected characteristics on that performance. Study Design: This study employed a cross-sectional survey method using a correlational and descriptive research design. Place and Duration of the Study: The study was conducted in twenty-one villages of Gaibandha district in Bangladesh during 17 July, 2017 to 20 September, 2017. Methodology: A total of 355 farmers were selected as sample using multistage random sampling. Data, collected using structured questionnaire, were subjected to descriptive analysis, Pearson correlation and multiple linear regression for describing the level of selected variables, their relationships and their contributions on farmers’ performance, respectively. Results: Most (45.9%) of the farmers had high level of performance regarding fertilizer application. Farmers’ age, household size, educational level, farm size, training received, extension media contact, knowledge and attitudes of farmers had positive and significant relationship with their fertilizer application performance. Regression model explained 45.3% of variance of farmers’ performance where age, household size, farm size, training received, extension media contact, knowledge and attitudes of farmers were found significant predictors of farmers’ fertilizer application performance. Knowledge was found to be the most contributing factor followed by age and training received. Conclusion: The study concludes with recommendations that are expected to improving fertilizers application scenario of Bangladesh.
This study determines the relationship between human resource development and extension agents’ work performance among cocoa growers in Malaysia. The study used stratified sampling technique to select 668 productive cocoa growers who are exposed to extension activities facilitated by the extension agents’ of Malaysian Cocoa Board (MCB) in the three (3) regions of Malaysia. The data were analyzed using descriptive statistics, correlation and regression analysis. Significant and positive correlation (p<0.01) existed between each variables and work performance. Regression analysis results showed that human resource development skills are significant (p<0.05). The Adj.R2 value of 0.562 implies that three predictors explain about 56.2% of the variation in extension agents’ work performance. The highest contribution is attributed by decision making support skill (β=0.321). It is therefore recommended that Malaysian Cocoa Board and other agricultural extension service agencies should focus more attention on delivering consistent human resource development initiatives relevant to the need of extension agents and focused on addressing identified skills and knowledge gaps among farmers and the extension agents who work with them for a continuous performance improvement in their work
Various indicators are used for evaluating the performance of different aspects of an irrigation system. This study proposes rice relative water supply (RRWS) and cumulative rice relative water supply (CRRWS) indicators to characterize the irrigation water delivery performance as the season advances in rice irrigation systems. These indicators were determined from field tests and evaluated. Traditionally, some standing water depth is kept in the field throughout the irrigation season. Some water is continuously delivered to maintain the standing water depth in the field due to the difference between the maximum standing water depth (WSmax j ) and the present standing water depth (WS j ). The widely used relative water supply (RWS) concept is found to incorrectly characterize an oversupply condition on irrigation deliveries for not considering the additional water supply to maintain standing water. Consequently, the cumulative relative water supply (CRWS) gives a wrong scenario in characterizing irrigation delivery performance throughout the season. The RRWS, on the other hand, distinctly characterizes the oversupply and undersupply condition on irrigation delivery as the season advances. A value of 1.0 for RRWS indicates an irrigation delivery that perfectly matches with the field water demand. Both in the main and off-season, RWS remains higher than RRWS during depletion periods (WS j − WS j ). On the other hand, the values of RWS and CRWS were higher than RRWS and CRRWS during 3rd to 6th weeks in the main season; and 3rd to 7th weeks in the off-season. The proposed indicators were found to be useful to enhance the decision-making and operational strategy for delivering
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