cotton | Ag Data Commons

AgBase

[AgBase](https://agbase.arizona.edu/index.html) Version 2.0 is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products including gene ontology annotations. Its long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models. AgBase uses controlled vocabularies developed by the Gene Ontology (GO) Consortium to describe molecular function, biological process, and cellular component for genes and gene products in agricultural species.

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GOSSYM

GOSSYM is a dynamic, process-level simulation model of cotton growth and yield. GOSSYM essentially is a materials balance model which keeps track of carbon and nitrogen in the plant and water and nitrogen in the soil root zone. GOSSYM predicts the response of the field crop to variations in the environment and to cultural inputs. Specifically, the model responds to weather inputs of daily total solar radiation, maximum and minimum air temperatures, daily total wind run, and rainfall and/or irrigation amount. The model also responds to cultural inputs such as preplant and withinseason applications of nitrogen fertilizer, row spacing and within row plant density as they affect total plant population, and cultivation practices.

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2DLEAF

A 2D mechanistic model of CO2 and water vapor movement in a leaf and photosynthesis.

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2DSOIL version 03

2D finite element water, solute, and heat mover model for plant models.

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Irrigator Pro

Irrigator Pro is an expert system designed to provide irrigation scheduling recommendations based on scientific data resulting in conservation minded irrigation management. The success of Irrigator Pro for Peanuts created interest in other groups. A collaborative effort between the NPRL, Cotton Commission, University of Georgia, and the Peanut Foundation was established to create comparable models for cotton and corn.

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CPM - Cotton Production Model

A new process-based cotton model, CPM, has been developed to simulate the growth and development of upland cotton (Gossypium hirsutum L.) throughout the growing season with minimal data input. CPM predicts final cotton yield for any combination of soil, weather, cultivar and sequence of management actions.

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Data from: Global Meta-Analysis of Cotton Yield and Weed Suppression from Cover Crops

To systematically evaluate cover crop effects on cotton yield and weed suppression, we conducted a random-effects meta-analysis investigating 10 moderating variables in 104 articles, yielding 1117 independent studies over 48 years.

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IPM Images: The Source for Agriculture and Pest Management Pictures

A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources and College of Agricultural and Environmental Sciences, The Center for Invasive Species and Ecosystem Health, USDA National Institute of Food and Agriculture, Southern Integrated Pest Management Center, Southern Plant Diagnostic Network, and USDA/APHIS Identification Technology Program, [IPM Images](https://www.ipmimages.org/) image categories include: Commodity Groups; Taxonomy; Biological Controls; Damage Types; and Diseases.

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Crosswalk datasets for unit process data for field crop production version 1

NUOnet (Nutrient Use and Outcome Network) database

The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.