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Assessment of Resource-Use Efficiency in irrigated rice Production in Dadinkowa, Gombe State, Nigeria

Journal of Agricultural Science and Technology(B) 2014年第6期4卷 427-433页

作者： Suleiman Mohammed Nasiru Abubakar John E.Ochi Usman Haruna Department of Agricultural Economics and Extension Abubakar Tafawa Balewa University Bauchi PMB 0248 Bauchi StateNigeria Department of Agricultural Economics and Extension Federal University Dutse PMB 7156 Jigawa State Nigeria

The study examined the levels of resource-use efficiency of rice farmers unde,r irrigation method in Dadinkowa, Gombe state of Nigeria. Using questionnaire, data were collected during the year 2010 irrigation season from 120 randomly sampled rice irrigators and the data were analyzed using multiple regression and marginal analyses. Results showed that significant factors influencing irrigated rice production were labour （P 〈 0.001）, land and fertilizer （P 〈 0.01）. In addition, the coefficient of determination （R2）, the F-ratio and the standard error of the mean （S） were found to be 0.471, 16.37＊＊＊ and 8.908, respectively. The results also indicated that efficiency values of land, seeds, fertilizer and labour were 1.234, 0.498, 2.352 and 1.620, respectively. Finally, it was found that resource-use among the farmers were not efficient thus equipment, land, fertilizer and labour inputs shall be increased by 78.3%, 18.9%, 57.5% and 38.3%, respectively, while seed input shall be reduced by 50.2% for the farmers to attain optimal resource utilization.

关键词： Efficiency resource-use irrigated rice Dadinkow Gombe

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Performance of Four rice Cultivars Transplanted Monthly over Full Year under irrigated Conditions in Tanzania

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rice science 2015年第2期22卷 71-80页

作者： Nobuhito SEKIYA Aristarick Cyril SHAYO Mathew Kaozya JACOB Nobuaki OIZUMI Motonori TOMITAKA Hideki ARAKI Japan International Cooperation Agency (JICA) JICA Tanzania Office Institute for Sustainable Agroecosystem Services Graduate School of Agricultural and Life SciencesUniversity of Tokyo Kilimanjaro Agricultural Training Centre Experimental Farm Faculty of AgricultureYamaguchi University Ministry of Agriculture Training Institute Ilonga Japan International Cooperation Agency JICA Headquarters

In Tanzania, the phenology and seasonal variations of the yields of different rice cultivars have rarely been studied, especially under fully-irrigated conditions. A trial was conducted to identify the most suitable calendar for rice production in Tanzania under fully-irrigated conditions. Four popular rice cultivars, NERICA1, Wahiwahi, IR64 and TXD306, were transplanted monthly from January to December 2011. The four cultivars recorded similarly higher or lower yields than the annual means when transplanted in July （0.50-0.57 kg/m2） and April （0.07-0.31 kg/m2）. A yield-ranking analysis showed that plants transplanted in July was the most productive while those transplanted in April was the least productive, and also revealed a yield-seasonality for irrigated rice in Tanzania, a low-yield season （April-May）, a high-yield season （June-August）, and an unstable-yield season （September-March）. These yield seasons would appear to be closely linked to seasonal temperature variations. When transplanted in April-May, plants were exposed to very low temperatures between panicle initiation and flowering, apparently reducing yield through cold-induced sterility. Those transplanted in June-August prolonged their growth under relatively low temperatures and increased yield through increasing biomass production. In September- March, yield levels varied greatly due to the shortened phenological growth durations at higher temperatures. We conclude that under fully-irrigated conditions in Tanzania, rice should be transplanted in July to ensure the maximum production and yield stability. The yield-seasonality suggests that implementing measures to protect plants from low and high temperature stress at critical phenological stages may allow year-round rice production under fully-irrigated conditions in Tanzania.

关键词： irrigated rice local variety phenological response temperature yield component yieldperformance

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