黑料社

黑料社 creates groundbreaking cotton quality model to aid farmers

黑料社 creates groundbreaking cotton quality model to aid farmers

Contact: Samuel Hughes

STARKVILLE, Miss.鈥擠oes climate change have an impact on the quality of cotton? Mississippi State scientists hope to answer that question with a new way to monitor the environmental impacts on the cash crop throughout the growing season.

K. Raja Reddy stands in a cotton field.
K. Raja Reddy poses in a cotton field at the Mississippi Agricultural and Forestry Experiment Station鈥檚 R.R. Foil Plant Science Research Center, also known as Mississippi State鈥檚 North Farm. Reddy is part of a team that produced the world鈥檚 first cotton quality module, allowing cotton producers to better monitor output under changing environmental conditions. (Photo by Dominique Belcher)

Researchers in the university鈥檚 Mississippi Agricultural and Forestry Experiment Station鈥攊n collaboration with the University of Nebraska-Lincoln鈥檚 Nebraska Water Center and the U.S. Department of Agriculture鈥檚 Agricultural Research Service鈥攈ave produced the world鈥檚 first cotton quality module鈥攁 part of a larger forecasting tool鈥攁llowing cotton producers to better monitor crop quality under changing environmental conditions.

Cotton quality impacts how much鈥攐r little鈥攎oney a farmer makes. Given its wide use in manufacturing, cotton is subjected to federal quality measurements. High-quality cotton fibers mean more income for the producer, while low-quality fibers could spell loss.

K. Raja Reddy, 黑料社 Department of Plant and Soil Sciences research professor, working with Sahila Beegum, USDA Adaptive Cropping System Laboratory agricultural engineer in Beltsville, Maryland, developed a new cotton quality module that works with GOSSYM, a computer application that simulates the processes affecting cotton plant growth and yield. The acronym GOSSYM is derived from the scientific name of cotton, Gossypium. The application simulates cotton growth given selected weather, soil and management strategies. From there, it can predict crop growth, yield and now fiber quality.

GOSSYM was first developed in the 1980s. As new prediction modules are added, its accuracy and application for cotton producers and researchers is enhanced. The new cotton quality module, now a component of GOSSYM, is a result of pioneering MAFES research.

鈥淲hile cotton is going through growth cycles, the cotton fiber quality will be affected by environmental conditions like temperature, rainfall and the nutrient quality of the soil and plant. All of these are included in the cotton quality module,鈥 Reddy said.

The cotton quality module is the culmination of more than a decade of research between Reddy鈥檚 team and collaborators at the Nebraska Water Center. Controlled experiments within MAFES Soil Plant Atmospheric Research chambers studied how organs in the cotton plant responded to different environmental variables, with the end goal of predicting fiber quality.

The team has conducted experiments on 40 of the most frequently grown cotton plant varieties, making the quality module a robust tool for farmers. The module will be freely accessible for cotton producers and researchers to use across 74 million acres of cotton fields worldwide. It also has powerful implications in building resiliency to climate change. Researchers can now use the GOSSYM model to make future predictions on how climate shifts will alter cotton quality. Researchers can use this data to recommend changes in agricultural management or to propose new governmental policy.

鈥淚f we need irrigation to sustain the way we are growing cotton now, what changes do we need to make? Or, if we continue to use irrigation as we are now, will that be sustainable in the long term?鈥 Reddy asked. 鈥淚f you want to grow the same quality crop, what are the breeding strategies you might use to make the crops more heat or drought tolerant? These are the types of questions we can answer from the quality module.鈥

The team is currently working to produce an intuitive user interface that will allow individual farmers and researchers to easily use the quality module to monitor the future of a cotton crop鈥檚 quality.

The new module will provide 黑料社 with innovative research opportunities as well. Reddy and Beegum are looking forward to a new project that will attempt to predict the best planting date to maximize cotton quality, year by year, across 17 Southern U.S. states.

The latest version of the GOSSYM source code, including the fiber quality module, is available on the .

The Mississippi Agricultural and Forestry Experiment Station conducts plant production research to maximize yields while decreasing inputs and improving the environment. Find out more about MAFES at .

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