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Nitrogen Prediction Models for Almond and Pistachio

These models are based on research conducted through Advanced Sensing and Management Technologies to Optimize resource Use in Deciduous Tree Crops, a 4-year, multi-state project. For project details, including investigative team, methodology and support, see project link.
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Tree Growth 1

This stunning video is generated by a model which simulates complex interactions within the tree, including growth, carbon partitioning among organs and responses to environmental, management and genetic factors. The model presented here is of a peach tree but is not calibrated to a specific tree.
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Farm Advisors in the Blogosphere

Several UC Farm Advisors are using blogs to provide crop updates, photos and articles. Take a look at their latest entries. We've included additional links to UC blogs related to orchard crops.Fruit & Nut Center Updates (our blog) When you are there...
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Position in Bioinformatics

Postdoctoral position in Bioinformatics (IRTA Plant Genomics) A postdoctoral fellowship is available Integrating multidisciplinary data to increase agricultural production under a climate change scenario (Ref: BDAS02), funded through the European P-SPHERE project under the COFUND Marie Sklodowska-Cu...
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Información de frutas y nueces

Al seleccionar una de las frutas o frutos de la siguiente lista, tendr acceso a la informacin en estas reas: educacin general, los artculos especficos en economa y gestin de produccin, y los enlaces a los centros, programas y organizaciones.
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Julie Jacquemin - Previous FNRIC Manager

Looking for out current staff list? Please click here Julie grew up and started her research career in France, and has been working at the Arizona Genomics Institute and the University of Hohenheim/Germany.
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Kevin Taniguchi - FNRIC Manager

Kevin Taniguchi is the Manager at the Fruit and Nut Research Information Center. He came to the Fruit and Nut center after working for the UC Division of Agriculture and Natural Resources Communication Services and IT as a web developer.
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