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Drought is a common abiotic stress that considerably limits crop production. The objective of this study is to explore the influence of water deficiency on the yield, physiologic and metabolomic attributes in upland cotton cultivars (Gossypium hirsutum L). Cotton cultivars, 'Ishonch' and 'Tashkent-6' were selected to study the relationships among their physiologic, metabolomic and yield attributes during water deficiency. Deficit irrigation was designed by modifying the traditional watering protocol to reduce water use. Results indicate that cotton cultivars respond differently to water deficit stress. Water deficit significantly influenced plant height, the number of internodes, and sympodial branches in both cultivars. However, yield components such as the number of bolls, boll seed, lint mass, and individual plant yield were significantly reduced only in 'Tashkent-6'. The leaf area decreased and the specific leaf weight increased in 'Ishonch' under deficit irrigation conditions. However, 'Tashkent-6' demonstrated significant water loss compared to 'Ishonch', and both cultivars showed reduced transpiration rates. Untargeted metabolite profiles of leaves showed clear separation in 'Ishonch', but not in 'Tashkent-6' under deficit irrigation compared to full irrigation. The individual metabolites such as proline and galactinol showed strong association with yield under water deficit stress. Moreover, this study indicates that leaf area and transpiration intensity influence yield during water deficiency. In summary, the correlation among morpho-physiologic, metabolic, and yield components significantly varied between the two cultivars under water deficiency. The flowering stage was sensitive to water stress for both cultivars. The direct relationship between physiology, metabolism, and yield may be a useful selection criterion for determining candidate parents for cotton drought tolerance breeding.

Smallholder farmers in Ethiopia are vulnerable to climate change impacts due to their low adaptive capacity and dependence on rainfed agriculture. Thus, a successful weather forecast system may bring significant economic and social value to the community. The main objectives of this study were to identify the key information exchange agents, understand the information flow path, rank the relative importance of the different information dissemination pathways, and determine weather forecast adoption. We conducted a household survey in five villages of Rim Kebele in Bahir Dar area and found that farmers communicate with four main agents with regard to information exchange. We developed an agent-based model to learn the adoption rates of weather forecast information. Agriculture extension agents were found to be the most influential members of the community. Farmers’ communicating with neighboring village farmers showed higher adoption. Our results show at least twice that improvements in communication network attain higher adoption rates. Radio has also demonstrated positive uptake of information. We also found that forecast accuracy of 70% is sufficient to achieve high adoption rates. Our findings might help decision-makers recognize critical information flow pathways and their relative importance, and identify barriers to disseminating weather forecast information in the community.

The management of water resources according to hydrological boundaries at different implementation levels (river basin, irrigation system, or water user association) is promoted internationally. This approach to water management, especially for the basin, is starting to be challenged from different perspectives: representation within basins, appropriateness for basins in the south, and the challenges of merging boundaries for surface and groundwater sources. It has been challenged only recently in relation to its appropriateness for indigenously constructed (informal) irrigation systems. To these critiques, this paper adds the historical development and originally intended purpose of engineered irrigation systems and therefore calls into question whether it is always possible to introduce hydrological boundary management in the formal systems in Central Asia.

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Water is one of the most important natural resources flow though watersheds. It is expected that within next decade at least 36 states in the US experience water shortages. Preserving and proper management of water and watershed resources is crucial. The objective of this study is to develop SWAT model along with compatible hydrologic programs and calibrate the model to predict the volume and discharge of flow in watershed outlets. Model uses 5 distinct years of land use/cover and weather data to analyse the change in hydrologic processes within thze watershed of Snoqualmie watershed of King county in Washington state. Model shows significant improved predictions for the selected period of time but some certain assumptions suggest the model needs further improvements. Results indicate that land use change and use dynamics have an impact to the watershed flow in Snoqualmie watershed. Results of this study can be used by implementing agencies to manage water and watershed resources in the King county, WA area.