9 - 2020 South Central Ag Lab Field Day

Mike Kamm Author

12/04/2020 Added

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2020 South Central Ag Lab Field Day

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[00:00:04.290]Hello.
[00:00:04.880]And thank you for coming today. My name is Laila Puntel.
[00:00:07.850]I'm an assistant professor in the agronomy department,
[00:00:10.460]and I work specifically in precision ag and so fertility.
[00:00:14.120]So today we are visiting the DATT Project. D A T T
[00:00:18.500]So that project is stands for digital agriculture technology testing.
[00:00:23.030]So this project,
[00:00:24.080]the overall goal is to test any current or upcoming
[00:00:28.730]technology for agriculture.
[00:00:30.680]And this is include any kind of digital tool that producers can access.
[00:00:34.400]These days. One example will be remote sensing or crop model based tools,
[00:00:39.890]either apply for nitrogen management irrigation or even some other inputs like
[00:00:44.120]phosphorous or plant density. So in this experiment, our, our,
[00:00:48.860]we have three main objectives.
[00:00:51.140]One of the main objectives is to test remote sense base nitrogen management
[00:00:56.060]tools and also crop model based tools.
[00:00:59.720]The second one is to improve the current algorithms that had been using in other
[00:01:04.140]states.
[00:01:05.000]And so that way we can translate it into a better way or adapted to Nebraska.
[00:01:10.250]So you might be wondering what is the special about these experiment itself?
[00:01:15.110]Well,
[00:01:15.380]when we think about other tools and other experiments that have been collected
[00:01:19.040]in the past decades,
[00:01:20.720]we always think about end of the CSUN yield or some other characteristics at the
[00:01:25.190]beginning of the season. So in this experience,
[00:01:27.740]we are very detailed about data collection.
[00:01:30.290]We are coming here every other week and collecting crop and soil information,
[00:01:35.360]as well as other dynamics, such as soil moisture and soil temperature,
[00:01:39.860]along with licie mirrors for nitrogen leaching and whether it's stations that are
[00:01:44.690]installed nearby.
[00:01:46.850]So the third goal of these projects is also,
[00:01:51.260]trying to understand the underlying causes of complex interaction between
[00:01:55.760]irrigation, optimum management and nitrogen management.
[00:01:59.690]So let me tell you a little bit about the experimental design.
[00:02:03.230]So here we have at crop,
[00:02:04.820]a corn soybean rotation that was established in the fall,
[00:02:08.210]especially for the fertilization treatments in the corn side.
[00:02:12.320]And then we are planning to, maintain this experiment for at least three,
[00:02:16.280]four years. The data that we are collecting comes from,
[00:02:21.140]six different treatments and these combined three nitrogen treatments in three
[00:02:25.970]levels of irrigations. So for nitrogen,
[00:02:28.970]we have zero or control,
[00:02:31.550]and this will allow us to calibrate all these tools in order to capture
[00:02:36.140]the dynamics in the soil, especially for nitrogen mineralization.
[00:02:40.940]Then we have a secondary main, which is the,
[00:02:42.950]what we call the optimal nitrogen and rate plot.
[00:02:46.070]So this one is similar to whatever.
[00:02:48.290]What other producers in the area nearby clay center are using today,
[00:02:53.360]or you can think about the UNL. I would have them, you and our prescription.
[00:02:58.700]And the third nitrogen rate that we have in this experiment is a maximum and
[00:03:03.370]rate.
[00:03:04.030]So this is the end rate that we use to maximize the responding yield in corn.
[00:03:09.130]And then as I say before, we have three radiation treatments,
[00:03:12.220]we have a control or dial-in 50% of evapotranspiration and
[00:03:16.960]100% of where public transportation.
[00:03:19.930]And then something interesting that we are collaborating with other two
[00:03:23.560]colleagues at UNL. The first one is Dr. [inaudible].
[00:03:27.730]She is an assistant professor in the biosystem engineering department,
[00:03:31.780]and we're working closely with her to collate a lot of remote sensing data from
[00:03:35.680]different sources.
[00:03:37.150]So what we noticed today is that a lot of producers are wondering if they need
[00:03:41.080]to subscribe to different service to get satellite or remote
[00:03:46.060]sensing imaging from the crop.
[00:03:48.160]So the objective of this collaboration is to compare different sources of remote
[00:03:52.840]sensing image and thermal images.
[00:03:55.720]So this experiment has been flew four times during the growing season,
[00:03:59.740]and that information is going to be compared to an aircraft that also has
[00:04:02.980]compare a collecting information every single week.
[00:04:06.130]And we will also collect this information and compare it with a satellite image.
[00:04:10.420]So ideally we want to tell the producers how this data can be utilized and what
[00:04:15.250]kind of resolution is targeted for different management decisions.
[00:04:19.090]So that's one part.
[00:04:20.470]The second part of this project that is in collaboration with other colleagues
[00:04:23.830]is the environmental side of this. So we are collaborating with Dr.
[00:04:27.610]Equal in the department of agronomy with him,
[00:04:30.700]we're collecting lysimeter or nitrogen leaching water samples from each of our
[00:04:35.440]nitrogen and irrigation plots.
[00:04:37.660]So ideally what we want to accomplish is to tell to the producer,
[00:04:41.920]what was the environmental impact of the nitrogen optimal and raid at an
[00:04:46.780]optimal irrigation management?
[00:04:49.150]So these two are going to give us a lot of information to move forward in terms
[00:04:53.200]of the nitrogen tools that we can recommend for producers in these area.
[00:04:58.540]So the other important thing about these experiments that I want to share with
[00:05:02.290]you is what kind of data are we collecting during the growing season?
[00:05:05.950]So this experiment,
[00:05:07.060]we collect biomass samples every other week for corn and
[00:05:11.890]soybean. We collect phonology Liferay index for multiple sources.
[00:05:16.330]So we have an indirect and a destructive way.
[00:05:19.210]So this will allow us to calibrate the models and also test our remote sense
[00:05:23.670]based nitrogen management doors on the sidebar. Every other week,
[00:05:28.480]we are calculated on measurement,
[00:05:31.240]ammonia and nitrate concentration in the soil.
[00:05:34.180]This data is going to help us to understand the performance of crop model based
[00:05:38.410]tools in Nebraska when it comes to simulate nitrogen losses in the soil
[00:05:43.660]at different nitrogen levels. Okay.
[00:05:46.780]So stay tuned for the reports that are going to come up at the end of the
[00:05:50.290]season. In those reports,
[00:05:52.060]we are going to share all the insights of data collected for corn and soybean,
[00:05:56.800]as well as some of the initial testing for some of our sensor based tools like
[00:06:01.460]crop sensors, and satellite images,
[00:06:04.010]as well as crop model tools like granular and adapting.
[00:06:08.450]And another last message that I want to give you today.
[00:06:11.090]If you are looking to task nitrogen tools or other technology in your field,
[00:06:15.860]either for wheat or for corn,
[00:06:17.330]the season contact us because we have an NRCS use project
[00:06:22.160]that can give you the opportunity to test either remote sense based or crop
[00:06:25.940]model based tools these season. Thanks for your attention.

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9 - 2020 South Central Ag Lab Field Day

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