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Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of...
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Quick Stats is the National Agricultural Statistics Service's (NASS) online, self-service tool to access complete results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the...
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This product summarizes fertilizer consumption in the United States by plant nutrient and major fertilizer products—as well as consumption of mixed fertilizers, secondary nutrients, and...
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This data product summarizes the extent of adoption of herbicide-tolerant (HT), insect-resistant (Bt), and those with both traits ("stacked") genetically engineered (GE) crops in the United...
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The Price Discovery is a web based tool that allows users to view pricing information for the following crops covered by the Common Crop Insurance and the Area Risk Protection policies: barley,...
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This dataset consists of weighing lysimeter data for upland cotton [Gossypium hirsutum (L.)] grown for lint and seed at the USDA-ARS Conservation and Production Research Laboratory (CPRL), Soil...
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GRIN-Global is an ongoing international collaborative project to develop shared and open-source applications that help manage plant germplasm collections. The software was jointly developed by the...
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This study examined average annual changes in soil erosion from rainfall and wind forces, and trends in soil organic carbon (SOC). The diversity of geo-climatic land bases and potential...
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The Germplasm Resources Information Network (GRIN) is an online portal for information about agricultural genetic resources that are managed by the Agricultural Research Service of USDA, along...
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Data from: Hyperspectral reflectance and machine learning for multi-site monitoring of cotton growth
Two field research projects focused on cotton were conducted at the El Reno, OK and Temple, TX USDA-ARS research stations. The study at the Southern Plains research station took place in 2019...
Search relevance: 1.00 | Views last month: 12 | Catalog Last Checked: May 05, 2026 at 11:40 PM -
This dataset consists of growth and yield data for each season when upland cotton [Gossympium hirsutum (L.)] was grown for lint and seed at the USDA-ARS Conservation and Production Research...
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Stink bug and plant bug species, commonly known as hemipterans, continue as major pests of cotton and other row crops in the U.S. Cotton Belt, but the composition of hemipterans has changed...
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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...
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The increasing amounts of discarded textiles represent a potentially valuable resource that could be reclaimed. This work underscores the significance of advancing chemical recycling techniques...
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Soil Dynamics Research for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Auburn, Alabama This study provides data on soil C and N dynamics and subsequent trace gas...
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CottonGen has an instance of the JBrowse genome browser for viewing genome data. A list of the genomes available in CottonGen can be accessed by clicking the JBrowse link in the Tools menu. Whole...
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This dataset contains all data and code required to clean the data, fit the models, and create the figures and tables for the laboratory experiment portion of the manuscript:Kannan, N., Q. D....
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This is digital research data corresponding to a published manuscript, Cover cropping history affects cotton boll distribution, lint yields, and fiber quality, in Crop Science, Vol. 63 p....
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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...
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Dropping Ogallala aquifer levels and changing commodity prices and energy costs make irrigation management an important but uncertain issue to west Texas cotton producers. For example, is deficit...
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