Improve Your Plant Study: 3 Types of Environmental Data You May Be Missing
What data are you missing? As a plant researcher, you need to effectively assess crop performance, whether it’s yield or disease resistance. But if you’re only measuring weather data, you might be missing key performance indicators in your variety trials. Understanding the full picture of the environment will make it easier to select the right varieties to advance—and avoid wasting resources on advancing bad selections. To accurately assess plant stress tolerance, you must first characterize all environmental stressors. For example, drought studies are notoriously difficult to replicate because of high weather variability. Precipitation data is not enough to assess drought. You need a tool to quantify drought at the soil level. Get better, more accurate conclusions It’s important for your environmental data to accurately represent the environment of your site. That means not only capturing the right parameters but choosing the right tools to capture them. In this 30-minute webinar, application expert Holly Lane discusses how to improve your current data and what data you may not be collecting that will optimize and improve the quality of your plant study. Find out: - How to know if you’re asking the right questions - Are you using the right atmospheric measurements? And are you measuring weather in the right location? - Which type of soil moisture data is right for the goals of your research or variety trial - How to improve your drought study, why precipitation data is not enough, and why you don’t need to be a soil scientist to leverage soil data - How to use soil water potential - How accurate your equipment should be for good estimates - Key concepts to keep in mind when designing a plant study in the field - What ancillary data you should be collecting to achieve your goals Presenter Holly Lane has a BS in agricultural biotechnology from Washington State University and an MS in plant breeding from Texas A&M, where she focused on phenomics work in maize. She has a broad range of experience with both fundamental and applied research in agriculture and worked in both the public and private sectors on sustainability and science advocacy projects. Through the tri-societies, she advocated for agricultural research funding in DC. Currently, Holly is an application expert and inside sales consultant with METER Environment.
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Improve Your Plant Study: 3 Types of Environmental Data You May Be Missing
- 2. IMPROVE YOUR PLANT STUDY 3 TYPES OF ENVIRONMENTAL DATA YOU MAY BE MISSING Holly Lane, MS METER Group, Inc. USA
- 3. STARTING FROM THE BASICS P = G + E
- 4. STARTING FROM THE BASICS Phenotype:the traits we observe in the plants (ex:height, yield) P = G + E Environment:how the environment affect a plant’s performance Genotype:how genetics affect a plant’s performance
- 5. A QUICK NOTE ON DATA
- 6. DATA QUALITY VS QUANTITY THOUGHTS ON TRADEOFFS Lane, H.M. and S.C. Murray. 2021. Crop Science. High throughput can produce better decisions than high accuracy when phenotyping plant populations. Photo Credit:Texas A&M University Department of Soil and Crop Sciences photo by Beth Ann Luedeker
- 7. DATA QUALITY VS QUANTITY THOUGHTS ON TRADEOFFS
- 8. THE ENVIRONMENTAL STORY WEATHER DATA
- 10. PROBLEMS WITH “LOCAL” DATA LARGE INACCURACIES MAY EXIST Presentation Title/Legal Disclaimer
- 11. HOW TO CHOOSE THE OPTIONS CAN BE OVERWHELMING Check out our webinar, Weather Monitoring 101 In general: • Balance cost and performance • Site data is key Price Performance
- 12. SITE SPECIFIC WEATHER DATA WHY IT’S SO IMPORTANT Concepts of interest: • Identify stress • Model disease risks • Calculate ET, GDD • Accurate precipitation estimates
- 13. WEATHER IS ONLY PART OF THE ENVIRONMENTAL STORY SOIL DATA
- 14. SOIL DATA THE MEDIUM FOR PLANT GROWTH Soil direct impacts plant growth via: • Nutrient availability • Disease pressure • Affecting root growth • Water availability*
- 15. MATRIC POTENTIAL “WATER THERMOSTAT” Different than volumetric water content More useful measurement in plant contexts Not traditionally used due to lack of adequate tools
- 16. MATRIC POTENTIAL QUANTIFY DROUGHT Traditional drought studies are hard to replicate or quantify Drought can vary in: • Timing • Intensity • Duration Looking at precipitation alone, or even moisture content does not account for differences in soil type between sites
- 18. Wetter Drier
- 22. MATRIC POTENTIAL LIMITATIONS Can’t tell you how much water to apply • If you don’t need to quantify water, this may not be an issue • If you do want to know this, add VWC Sensors not suitable for spot checking Traditionally hard to measure • Many field sensors are inaccurate or expensive • TEROS 21 maintains a wide measurement range and sensor-to-sensor consistency
- 23. IN CONCLUSION P = G + E
- 24. THREE THINGS TO CONSIDER FOR YOUR NEXT STUDY Weather • Data quality vs. quantity • Site-specific Soil • Matric potential Our team! • Ask questions – holly.lane@metergroup.com – sales.environment@metergroup.com – 509-332-2756 • Tweet me @HLplants
- 25. QUESTIONS