Data Management and Editing Presentation

Kristina Alas Author

01/06/2022 Added

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Learn how data collection for Buffalo Grass breeding trials work and analyze the data collects. Develop data sorting skills as well as an understanding of when to reject data that does not belong due to an error or abiotic and biotic stress factors.

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[00:00:08.380]For lesson two,
[00:00:09.340]I'm going to split it up into two videos
[00:00:11.890]because there is a lot of information to present.
[00:00:15.270]So for this first video, we're going
[00:00:17.210]to view the whole buffalograss experimental plot.
[00:00:20.290]And we're going to learn where three different genotypes are
[00:00:24.050]for each repetition.
[00:00:26.070]We'll learn about the special software
[00:00:28.260]used to score the buffalograss plot,
[00:00:30.470]and then we'll identify bad data that can occur when using
[00:00:33.743]that special software.
[00:00:37.520]So in lesson one I did mention that all the genotypes used,
[00:00:42.150]all 64 genotypes are in a different location
[00:00:45.140]for each of the repetitions.
[00:00:47.100]And so here you can kind of see
[00:00:48.980]where three different ones are placed.
[00:00:50.690]So the black square is for genotype Ne-9-3565
[00:00:56.430]and repetition one it's in a corner.
[00:00:59.020]Repetition two and three,
[00:01:00.920]you can see it's in a different location.
[00:01:03.380]And the same for the other two different genotypes
[00:01:06.840]that are shown here.
[00:01:08.670]And then you can see, this is April 10th, 2015.
[00:01:13.630]And then we will have a photo of those same genotypes
[00:01:18.860]on May 26th.
[00:01:20.840]And then we will also see them on June 22nd.
[00:01:24.460]And so having these videos is a,
[00:01:26.500]or these pictures is a good way
[00:01:28.730]to see how they green up each month.
[00:01:33.740]So in lesson one,
[00:01:35.010]we scored a small section for one of the repetitions
[00:01:39.430]of the buffalograss research area
[00:01:41.730]using the NTEP guidelines.
[00:01:44.390]And Dr. Amundsen did not use that method
[00:01:47.860]to score his plot area because it is a rather large area,
[00:01:52.940]it'd be very time consuming and there would be a lot
[00:01:56.080]of variability among evaluators.
[00:01:58.970]So Dr. Amundsen would have aerial drones take these photos.
[00:02:03.850]And then what would happen is these photos would be cut down
[00:02:08.490]to an individual plot.
[00:02:10.420]And then only the inner 50% of that plot area
[00:02:15.180]would be given a score based on their percent greenness.
[00:02:20.860]Quality of the photos taken by the aerial drones
[00:02:23.700]can create bad data.
[00:02:25.640]And so we can see how June 8th,
[00:02:29.330]this photo does not have as high quality
[00:02:31.890]as the photo taken on June 22nd.
[00:02:35.610]And so when we have photos that have bad quality like this,
[00:02:39.980]it's going to affect our scores for our genotypes.
[00:02:43.980]So if we look at this one genotype here,
[00:02:47.140]and this table is all of its greenness scores
[00:02:50.210]for all three repetitions in 2015.
[00:02:54.010]If we just look at repetition three,
[00:02:56.160]we can see how in May, it had 95.6% greenness.
[00:03:02.290]And then in June, the score dropped down to 34.5,
[00:03:06.480]and this is June 8th because of this photo.
[00:03:10.600]And then again, June 22nd,
[00:03:13.020]a high quality photo was captured.
[00:03:15.790]And so the score went back up to 99.1.
[00:03:20.940]And you can really see how the bad quality photos
[00:03:24.630]affected this genotype if you look at this line graph here.
[00:03:30.730]And so this data was eliminated from the experiment.
[00:03:34.930]The color range could have been adjusted
[00:03:37.000]to rescue the image,
[00:03:38.600]but it was easier to eliminate the data.
[00:03:43.230]Problems with bluegrass and weeds
[00:03:45.300]in the research experimental area can also create bad data.
[00:03:49.820]Since buffalograss is a warm season grass,
[00:03:52.180]it thrives in the summer
[00:03:53.420]and it's dormant in the spring and fall.
[00:03:56.190]During the dormant periods, weeds and cool season grass
[00:03:59.700]like bluegrass will develop rapidly
[00:04:01.800]and take over the plot area.
[00:04:04.340]And so you can see in photo A,
[00:04:06.490]there is a weed infestation around the edge
[00:04:09.360]of the experiment area.
[00:04:11.340]And in photo B, you can see weed or bluegrass infestation
[00:04:15.670]around each individual plot.
[00:04:18.550]And so weed infestations and bluegrass infestations
[00:04:24.700]are going to affect each genotype differently.
[00:04:28.540]So if we look at this genotype, Ne-9-3565,
[00:04:33.114]if we just look at the line graph,
[00:04:35.030]we can't tell any kind of weed infestation occurred.
[00:04:39.740]If we look at the table,
[00:04:41.600]we can see that it had a small infestation.
[00:04:47.090]And so if we look at this genotype, Ne-6636,
[00:04:51.740]we can see in the fall
[00:04:53.180]that it had a much bigger infestation.
[00:04:56.600]And we can also see that in the table as well.
[00:05:00.690]And so this data,
[00:05:02.850]any kind of bad data that occurs due to weed
[00:05:06.630]and bluegrass infestation was eliminated
[00:05:09.710]from the experiment.

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