NERICA Cultivation and its Yield Determinants: The Case of Upland Rice Farmers in Namulonge, Central Uganda

Miyamoto, Kisho; Maruyama, Atsushi; Haneishi, Yusuke; Matsumoto, Sayuri; Tsuboi, Tatsushi; Asea, Godfrey; Okello, Stella E.; Takagaki, Michiko; Kikuchi, Masao

doi:10.5539/jas.v4n6p120

Cited by 16 publications

(19 citation statements)

References 11 publications

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“…Nearly 70% of farmers in the sample were small farmers with total cultivated area of less than 2 ha. These household characteristics are quite comparable to the characteristics of rice farmers reported by earlier studies conducted in various parts of Uganda [10] [20]- [22].…”

Section: Rainfed Rice Cultivation In Ugandasupporting

confidence: 85%

Rice Green Revolution and Climatic Change in East Africa: An Approach from the Technical Efficiency of Rainfed Rice Farmers in Uganda

Maruyama¹,

Haneishi²,

Okello³

et al. 2014

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In East Africa where a drastic improvement in food security is an urgent need, rice, a non-traditional crop in most of countries in the region, has emerged as an important food crop that could extend the Green Revolution to the region following the introduction of New Rice for Africa (NERICA) in the early 2000s. Using data collected through a nationwide survey, this paper examines the possibility of rice green revolution by estimating the technical efficiency (TE) of rainfed rice farmers in Uganda and simulates how unfavorable climate changes affect it. The estimated stochastic frontier yield function showed that the mean TE was 65% for lowland and 60% for upland, and that the potential yield of rainfed rice cultivation was as high as 3 t•ha −1. However, the stochastic simulation of rainfall and rice yield revealed that unfavorable climate changes could erase the high potential in crop yield. Rainfed rice cultivation could be a leading sector for realizing Green Revolution in East Africa. It plays a critical role in this process to improve rice farmers' TE, which is lower in the region than in Asia. Worsening climatic conditions, if occur, make this need even more imperative.

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Section: Rainfed Rice Cultivation In Ugandasupporting

confidence: 85%

Rice Green Revolution and Climatic Change in East Africa: An Approach from the Technical Efficiency of Rainfed Rice Farmers in Uganda

Maruyama¹,

Haneishi²,

Okello³

et al. 2014

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“…This was attributed to the fact that upland farmers applied relatively lower seed-rate (92 kg ha -1 ) than recommended average under broadcast method. The response from seed in this study is fairly higher than 0.01t for rainfed farmers elsewhere in the country (Asiimwe, 2009;Haneishi et al, 2013;Miyamoto et al, 2012). Positive response of output to seed (0.3t) has also been reported in West African region (Ajetomobi, 2009).…”

Section: Production Frontiersupporting

confidence: 48%

“…As a result, interpreting low trends in yield and identifying potential policy responses has proved difficult due to unclear understanding of factors affecting its production (GoU, 2009). Firstly, biotic and abiotic factors have been reported as causes of low production (GoU, 2009;Kijima, 2012;Miyamoto et al, 2012;NEWEST, 2012;Odogola, 2006;UBOS, 2010). Secondly, rice production is dominated by rain-fed cultivation the fact that makes it highly sensitive to climate variability (Caffrey et al, 2013;Rowhani et al, 2011).…”

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confidence: 99%

A Study on the Dynamic Relationship Between Financial Development and Investment: Evidence from Sub-Saharan Africa

2020

JESD

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This study examined the impact of climate variability on rain-fed rice production in the northern agro-ecological zone (NAEZ) of Uganda. We used stochastic frontier model to analyse a four year (2013-2016) farm-level data. The results of the maximum likelihood estimates revealed negative effects of mean rainfall and coefficient of variation in rainfall on rice output but coefficient of variations in mean temperature was positive. The production frontier exhibited increasing returns to scale technology, low level of efficiency was exhibited and inefficiencies were driven by location, age, plot size and number of crops. We therefore conclude that rice farmers are producing inefficiently and increased variability in climate has adverse effects on rice production frontier but inefficiencies are being propelled by farmers' characteristics. Based on the findings, we recommend promoting awareness about climate variability and potential response alternatives for rice production and further research into coping strategies being used by rice farmers.

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“…Relative to this treatment, the needed labor intensity for other treatments were measured as follows: 1.1 for 22 hills/m 2 (30 cm), 1.2 for 13 hills/m 2 (50 cm), and 1.5 for 33 hills/m 2 (20 cm) and 11 hills/m 2 (60 cm). The labor requirement for weeding per ha for the 17 hills/m 2 (40 cm) treatment was assumed to be 65 person-days/ha, referring to Miyamoto et al (2012). The farm-gate prices of seeds and paddy rice were assumed to be Ush 2000/kg and Ush 1000/kg, respectively, and the wage rate was assumed to be Ush 8000/day, referring to Haneishi et al (2013).…”

Section: Economic Considerationmentioning

confidence: 99%

Effects of plant density on the performance of selected African upland rice varieties

Matsumoto¹,

Tsuboi²,

Asea³

et al. 2017

Afr. J. Agric. Res.

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The effects of plant density on yield and yield components in upland rice cultivation were examined by conducting a series of field experiments in Central Uganda, using three African and one Japanese improved upland rice varieties. The estimation of plant-density response functions with respect to yield components and yield revealed that an increase in plant density significantly decreased the number of panicles per hill, number of spikelets per panicle, and 1000-grain weight, and significantly increased the number of panicles per square meter. The percentage of filled grain was not affected by plant density. Compared to the Japanese variety, the three African varieties were characterized by more numbers of panicles/hill, less numbers of spikelets/panicle, higher grain-filling ratio and lighter 1000-grain weight, but differences in the degrees of response to plant density were less distinct between them. Rice yield increased in the range of plant density tested, though the marginal increase in yield due to an increase in plant density by 1 hill/m 2 diminished from 100 kg/ha at the plant density of 11 hills/m 2 to 30 kg/ha at 33 hills/m 2 . No significant differences were found among the four varieties for the level of yield as well as for its degree of positive response to plant density. The yield components that determined the increase in yield were the number of panicles per square meter and the number of spikelets per panicle, or combined together, the number of spikelets per square meter, which was estimated to reach the maximum at the plant density of 35 hills/m 2 . When the differences among the treatments in the costs of seeds and weed-control were considered, the optimum plant density was found to be 22 hills/m 2 (plantspacing of 30 cm × 15 cm), lower than the plant density that gives the maximum yield.

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NERICA Cultivation and its Yield Determinants: The Case of Upland Rice Farmers in Namulonge, Central Uganda

Cited by 16 publications

References 11 publications

Rice Green Revolution and Climatic Change in East Africa: An Approach from the Technical Efficiency of Rainfed Rice Farmers in Uganda

Rice Green Revolution and Climatic Change in East Africa: An Approach from the Technical Efficiency of Rainfed Rice Farmers in Uganda

A Study on the Dynamic Relationship Between Financial Development and Investment: Evidence from Sub-Saharan Africa

Effects of plant density on the performance of selected African upland rice varieties

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