Assessing the Importance of Rice as Food and Income Security Crop in Puti-puti Sub-county, Pallisa District, Uganda

Bua, B.; Ojirot, M.

doi:10.9734/ajea/2014/6701

Cited by 6 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study population consisted of rice farming households and a multi-stage stratified sampling procedure was used to select a total sample of 240 (Haneishi et al, 2013). Data was collected using a semi-structured questionnaire through face to face interviews (Bua & Ojirot, 2014). Data collected included information on household characteristics (age, household size, labour, land, crops grown and), output and inputs, (yield, area cultivated, seeds, man-days of labour, ox-plough, tractor and agro-chemicals), production practices (seasonal and monthly activity calendar and method of cultivation), disposal of proceeds and constraints in production.…”

Section: Methodsmentioning

confidence: 99%

“…Rice growing in Uganda started as early as 1904 but became noticeable as food crop during the 1950s mainly to feed the Second World War veterans and government institutions such as schools, prisons and hospitals (Odogola, 2006;Bua & Ojirot, 2014). However, rice production gained importance as cash crop after the establishment of Kibimba rice irrigation scheme in the 1960s followed by Doho and Olweny irrigation scheme in the 1970s (Odogola, 2006;GoU, 2009).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Characterisation of Rice Production Systems in Northern Agro-Ecological Zone, Uganda

Akongo¹,

Gombya-Ssembajjwe²,

Buyinza³

et al. 2017

JAS

View full text Add to dashboard Cite

Rice growing is an important source of food and income to the farming community in the northern agro-ecological zone (NAEZ) of Uganda. NAEZ comprised of 16 districts which form Acholi and Lango sub-regions and it is categorized by tropical dry climate with bimodal rainfall patterns. However, inspite of the importance of rice in the NAEZ, very little information exists that could support prioritization of development in the sector. This paper therefore, bridges information gap by analyzing characteristics of rice production system in the study area based on data obtained from a field survey conducted during 2016. The study used cross-sectional design to collect data which was analysed using the descriptive statistics of the STATA computer package. The results revealed marked difference in households' characteristics, production output and input utilization, production practices and constraints between lowland and upland systems. The study has concluded that: climate variability, pest and diseases, lack of improved seed variety, labour related constraints and lack of specialization are potential causes of low rice production and productivity in the NAEZ. However, to improve production performance of the systems, the study recommends promotion of climate smart farming in rice and further research into system based effects of climate on productivity as well as farmers' adaptation to climate variability.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Characterisation of Rice Production Systems in Northern Agro-Ecological Zone, Uganda

Akongo¹,

Gombya-Ssembajjwe²,

Buyinza³

et al. 2017

JAS

View full text Add to dashboard Cite

show abstract

“…Rice an important food staple and source of cash income for the majority of the farming communities in Uganda. Rice has the potential to improve nutrition and boost food security, towards rural development and sustainable land [42]. However, current rice production is not keeping pace with the growing demand.…”

Section: Food Security Scenariomentioning

confidence: 99%

A Decision Support System for Water Resources Management: The Case Study of Mubuku Irrigation Scheme, Uganda

2019

View full text Add to dashboard Cite

The greater competing demand for water requires an efficient use of water resources. Therefore, an optimum management is necessary in order to deal with the constraining factors. In African countries, irrigated agriculture is the largest user of surface water resources. Nevertheless, recent assessments in small-scale surface irrigation schemes resulted in poor performance indicators: Water use efficiency indicators of existing schemes are below 50 percent, owing to inadequate management modes. The paper sheds the light on the potential development of a decision-support system based knowledge with the Mapping System and Services for Canal Operation Techniques approach, merged with the MIKEHydro Basin model as a versatile and flexible framework conceived for a large variety of applications in small-scale irrigation. The model aims to improve water service, increase irrigation efficiency, comply with socio-economic objectives at country level. In order to address the prevailing heterogeneity of small-scale irrigation scheme, numerous variables are adjusted in the model, in terms of cropping patterns, climate data, and irrigation time. The evaluation of established water balance under different scenarios showed that tackling supply-driven scheduling and distributive issues significantly increases efficiency. Nevertheless, water allocation according to socio-economic objectives of food security and market security implies trading off the efficiency objectives.

show abstract

“…As one of the primary food commodities, rice is consumed by half of the global population [1]. Throughout a year, 150 million hectares of the rice crop area will averagely produce 500 million tons of rice [2]. FAO argued that 90% of rice is planted and consumed by most Asian populations, with 60% are situated in South East Asia like Indonesia, Malaysia, and Vietnam [2].…”

Section: Introductionmentioning

confidence: 99%

“…Throughout a year, 150 million hectares of the rice crop area will averagely produce 500 million tons of rice [2]. FAO argued that 90% of rice is planted and consumed by most Asian populations, with 60% are situated in South East Asia like Indonesia, Malaysia, and Vietnam [2]. In Indonesia, rice is the staple food commodity.…”

Section: Introductionmentioning

confidence: 99%

Rice Crop Phenology Model to Monitor Rice Planting and Harvesting Time using Remote Sensing Approach

et al. 2021

View full text Add to dashboard Cite

Rice is one of the most significant food commodity products in Indonesia. The production of rice in 2019 reached 49.8 million tons. On a global scale, rice is consumed by half of the human population around the world. This study will support the development of sustainable natural resources management, which is an important thing to the realization of the Sustainable Development Goals in zero poverty and zero hunger. Remote sensing is a useful instrument to monitor natural resources. This study used Sentinel-2 imageries to extract rice phenology using vegetation indices (NDVI and NDWI), then acquired the planting and harvesting time using the temporal analysis. The NDVI value is showing a parabolic curve regarding the planting stage of the rice. The value of NDVI is high in the transplanting stage but decreases in the harvesting phase. Besides that, in the seedling and transplanting stage, NDWI has a higher value than NDVI. However, in tillering until the harvesting phase, NDWI has a similar characteristic but lower value than NDVI. Based on the spatial and temporal distribution of rice planting and harvesting date, it is known that climate is not a resistant factor, especially the irrigated rice field. Nevertheless, in the rainfed rice field, the planting time depends on climate conditions.

show abstract

Assessing the Importance of Rice as Food and Income Security Crop in Puti-puti Sub-county, Pallisa District, Uganda

Cited by 6 publications

References 0 publications

Characterisation of Rice Production Systems in Northern Agro-Ecological Zone, Uganda

Characterisation of Rice Production Systems in Northern Agro-Ecological Zone, Uganda

A Decision Support System for Water Resources Management: The Case Study of Mubuku Irrigation Scheme, Uganda

Rice Crop Phenology Model to Monitor Rice Planting and Harvesting Time using Remote Sensing Approach

Contact Info

Product

Resources

About