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Study finds no consistency in efficacy of recovery sprays on auxin injury on cotton

The synthetic auxin herbicides 2,4-D and dicamba are commonly used for management of glyphosate-resistant and other troublesome weeds. Because of this trend, growers across the Cotton Belt are turning to auxin-resistant cotton. Since the release of auxin-resistant cotton in 2015, the market share has grown to more than 85% in the United States. However, spraying with 2,4-D can be harmful to dicamba-tolerant cotton and spraying with dicamba can cause injury to 2,4-D-tolerant cotton, resulting in yield and economic losses for the cotton producer.
 
In the webcast "Efficacy of Recovery Sprays to Auxin Injury on Cotton," James Griffin summarizes two studies from 2018 and 2019 that evaluated the effectiveness of available commercial products to recover cotton plants from reduced dicamba and 2,4-D rates when injured at first-bloom stage. Researchers evaluated numerous sprays by assessing the amount of injury and recovery as well as combined lint yields and average boll counts.
 
No recovery treatments were able to regain yields compared with untreated plots for either 2,4-D or dicamba. Numeric yield gains were shown for almost no recovery sprays over the auxin-only treatments. The trends were inconsistent at best from year to year.
 
 
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What Is Remote Sensing In Precision Agriculture? - The World of Agriculture

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What Is Remote Sensing In Precision Agriculture? In this informative video, we will dive into the fascinating world of remote sensing and its role in precision agriculture. Remote sensing technology allows farmers to gather critical information about their fields without the need for physical presence. By utilizing satellites, drones, and aircraft equipped with advanced sensors, farmers can monitor various aspects of their crops, from temperature and moisture levels to overall plant health.

We will explore how the data collected through remote sensing can empower farmers to make strategic decisions for their crops. With the ability to identify specific areas that require more water or nutrients, farmers can optimize resource usage, leading to healthier plants and improved yields.

Moreover, remote sensing plays a vital role in tracking crop growth over time. By comparing images taken at different growth stages, farmers can evaluate their crops’ development and adjust their management practices accordingly.