Abstract: The rising demand for tomatoes and tomato-based foods in Nigeria owing to its numerous health benefits calls for a comprehensive and economically viable farming system to replace or complement traditional farming systems for tomato production. This study therefore assessed the level of awareness of tomato farmers and their readiness to adopt the hydroponics farming system. The sociodemographic determinants of their readiness to adopt hydroponic farming were also identified. Measures of central tendency and the logistic regression model were employed in the analysis of data. Knowledge of hydroponic farming was low among the farmers. Key positive determinants of awareness include distance to market, having government support and access to social media. More than three-fifths of the farmers were willing to adopt the hydroponics farming system. Such farmers had tertiary education, access to extension agents and relatively small farm sizes. High initial capital for adoption was the most critical limitation to the readiness of adoption of the system. Enhanced tomato output from this system may be a cause for its advocacy. Awareness and adoption of hydroponic farming can be increased if extension services are intensified. This will ensure food security and sustainable economic development.Keywords: hydroponics farming system, tomatoes, awareness, willingness to adoptPublished in DKUM: 25.04.2025; Views: 0; Downloads: 0 Link to file
Abstract: Biological variation is omnipresent in nature. It contains useful information that is neglected by the usually applied statistical procedures. To extract this information special procedures have to be applied. Biological variation is seen in properties (e.g. size, colour, firmness), but the underlying issue is almost always to the variation in development or maturity in a batch of individuals generated by small scale environmental differences. The principles of assessing biological variation in batches of individuals are explained without putting emphasis on mathematical details. Obtained explained parts increase from about 60 to 80 % for the usual approach to 95 when the biological variation is taken into account. When technical variation or measuring error is small even 99 % can be achieved. The benefit of the presented technology is highlighted based on a number of already published studies covering the colour of apples during growth and storage and the firmness of cut tomatoes during storage.Keywords: biological variation, biological shift factor, mixed effects nonlinear regression, indexed nonlinear regression, colour of apples, firmness of tomatoesPublished in DKUM: 13.07.2017; Views: 1250; Downloads: 403 Full text (852,55 KB)This document has many files! More...
