Your search found 6 records
1 Izadi, B.; King, B.; Westermann, D.; McCann, I. 1996. Modeling transport of bromide in furrow-irrigated field. Journal of Irrigation and Drainage Engineering, 122(2):90-96.
Surface irrigation ; Models ; Furrow irrigation ; Forecasting
(Location: IWMI-HQ Call no: PER Record No: H018277)
The purpose of this study was to investigate the reliability of combining a surface irrigation model (SRFR) and two functional solute transport models (RAO and TETrans) in predicting the position of bromide (Br) measured in a 0.81-ha field under furrow irrigation. The SRFR model was used to first predict the infiltrated depths and then RAO and TETrans models were used to predict the position of the solute. Solute was transported according to position flow theory for the first irrigation and both models predicted the position of the solute with good accuracy. The solute was transported slightly faster than estimated by position flow for the second irrigation, resulting in a reduction of correct predictions by both models. Both models predicted poorly for the third irrigation because deviations from position flow were large. RAO model was more successful in predicting the peak solute position, while TETrans was more accurate in predicting mean solute depths. The latter was attributed to the differences between the two models and the sensitivity of TETrans to nodal spacing when predicting peak solute position.

2 Izadi, B.; Ashraf, M. S.; Studer, D.; McCann, I.; King, B.. 1996. A simple model for the prediction of nitrate concentration in the potato root zone. Agricultural Water Management, 30(1):41-56.
Irrigation requirements ; Sprinkler irrigation ; Computer techniques ; Models ; Potatoes ; Nitrogen
(Location: IWMI-HQ Call no: PER Record No: H018458)

3 Izadi, B.; King, B.; Ashraf, M. S. 1997. Evaluation of the portable furrow infiltrometer. Agricultural Water Management, 34(3):207-215.
Irrigation equipment ; Furrow irrigation ; Infiltration ; Measurement ; Surface irrigation ; Evaluation
(Location: IWMI-HQ Call no: PER Record No: H021830)

4 Sadler, J.; Evans, R.; Buchleiter, G.; King, B.; Camp, C. 2000. Venturing into precision agriculture. Irrigation Journal, 50(3):15-17.
Sprinkler irrigation ; Irrigation equipment ; Pumping ; Computer techniques / USA
(Location: IWMI-HQ Call no: PER Record No: H026278)

5 Clay, N.; King, B.. 2019. Smallholders’ uneven capacities to adapt to climate change amid Africa’s ‘green revolution’: case study of Rwanda’s crop intensification program. World Development, 116:1-14. [doi: https://doi.org/10.1016/j.worlddev.2018.11.022]
Climate change adaptation ; Smallholders ; Crop production ; Intensification ; Development programmes ; Green revolution ; Commercial farming ; Risk management ; Social institutions ; Households ; Socioeconomic environment ; Living standards ; Case studies / Africa South of Sahara / Rwanda / Kibirizi
(Location: IWMI HQ Call no: e-copy only Record No: H049168)
https://www.sciencedirect.com/science/article/pii/S0305750X18304285/pdfft?md5=b354ebad664691ed78ecf208431f2d6a&pid=1-s2.0-S0305750X18304285-main.pdf
https://vlibrary.iwmi.org/pdf/H049168.pdf
(0.61 MB) (624 KB)
Development programs and policies can influence smallholder producers’ abilities to adapt to climate change. However, gaps remain in understanding how households’ adaptive capacities can become uneven. This paper investigates how development transitions—such as the recent adoption of ‘green revolution’ agricultural policies throughout sub-Saharan Africa—intersect with cross-scale social-environmental processes to unevenly shape smallholders’ adaptive capacities and adaptation pathways. Drawing on quantitative and qualitative material from a multi-season study in Rwanda, we investigate smallholder adaptation processes amid a suite of rural development interventions. Our study finds that adaptive capacities arise differentially across livelihood groups in the context of evolving environmental, social, and political economic processes. We show how social institutions play key roles in shaping differential adaptation pathways by enabling and/or constraining opportunities for smallholders to adapt livelihood and land use strategies. Specifically, Rwanda’s Crop Intensification Program enables some wealthier households to adapt livelihoods by generating income through commercial agriculture. At the same time, deactivation of local risk management institutions has diminished climate risk management options for most households. To build and employ alternate livelihood practices such as commercial agriculture and planting woodlots for charcoal production, smallholders must negotiate new institutions, a prerequisite for which is access to capitals (land, labor, and nonfarm income). Those without entitlements to these are pulled deeper into poverty with each successive climatic shock. This illustrates that adaptive capacity is not a static, quantifiable entity that exists in households. We argue that reconceptualizing adaptive capacity as a dynamic, social-environmental process that emerges in places can help clarify complex linkages among development policies, livelihoods, and adaptation pathways. To ensure more equitable and climate-resilient agricultural development, we stress the need to reformulate policies with careful attention to how power structures and entrenched social inequalities can lead to smallholders’ uneven capacities to adapt to climate change.

6 Ng, Michelle; de Haan, N.; King, B.; Langan, Simon. 2021. Promoting inclusivity and equity in information and communications technology for food, land, and water systems. Cali, Colombia: CGIAR Platform for Big Data in Agriculture. 64p.
Information and Communication Technologies ; Equity ; Inclusion ; Water systems ; Social change ; Digital divide ; Innovation ; Models ; Gender ; Sustainable Development Goals
(Location: IWMI HQ Call no: e-copy only Record No: H050850)
https://cgspace.cgiar.org/bitstream/handle/10568/115154/Promoting%20inclusivity%20and%20equity%20in%20ICTs%20%284%29.pdf?sequence=3&isAllowed=y
https://vlibrary.iwmi.org/pdf/H050850.pdf
(19.40 MB) (19.4 MB)

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