This is the first time we’ve had a high schooler on the podcast!
Maizie Koentopp, a 9th grader in Chicago, conducted a simple yet elegant experiment on buckwheat plants. Motivated by her father’s urban farming work and her own concern about climate change, Maizie wanted to test the effect of endophytic bacteria on plant development as an alternative to harmful agrochemicals. She compared seeds inoculated with AEA’s BioCoat Gold™ to a non-inoculated control, and found that inoculated seeds (in both sterilized and non-sterilized soil) grew faster, had higher survival rates, and developed more root hairs.
If others in Maizie’s generation share her curiosity, poise, and scientific rigor, then our future is in good hands.”
Additional Resources
To read more about her research, click here.
About John Kempf
John Kempf is the founder of Advancing Eco Agriculture (AEA). A top expert in biological and regenerative farming, John founded AEA in 2006 to help fellow farmers by providing the education, tools, and strategies that will have a global effect on the food supply and those who grow it.
Through intense study and the knowledge gleaned from many industry leaders, John is building a comprehensive systems-based approach to plant nutrition – a system solidly based on the sciences of plant physiology, mineral nutrition, and soil microbiology.
Support For This Show & Helping You Grow
Since 2006, AEA has been on a mission to help growers become more resilient, efficient, and profitable with regenerative agriculture.
AEA works directly with growers to apply its unique line of liquid mineral crop nutrition products and biological inoculants. Informed by cutting-edge plant and soil data-gathering techniques, AEA’s science-based programs empower farm operations to meet the crop quality markers that matter the most.
AEA has created real and lasting change on millions of acres with its products and data-driven services by working hand-in-hand with growers to produce healthier soil, stronger crops, and higher profits.
Beyond working on the ground with growers, AEA leads in regenerative agriculture media and education, producing and distributing the popular and highly-regarded Regenerative Agriculture Podcast, inspiring webinars, and other educational content that serve as go-to resources for growers worldwide.
Learn more about AEA’s regenerative programs and products: https://www.advancingecoag.com
Podcast Transcript
0:00 – 0:01
Hi, friends, this is John.
0:01 – 0:02
Welcome back to the Region of
0:02 – 0:04
Agriculture podcast, where we
0:04 – 0:05
have all kinds of fun
0:05 – 0:07
conversations related to soil
0:07 – 0:09
health and plant health.
0:09 – 0:12
And in this in this fascinating
0:12 – 0:14
world, as we are learning that
0:15 – 0:17
plants have brains and they have
0:17 – 0:19
the ability to think and to make
0:19 – 0:20
informed decisions,
0:21 – 0:21
they have
0:22 – 0:24
they make very conscious
0:25 – 0:27
specific informed decisions
0:27 – 0:28
about how to interact with their
0:28 – 0:29
environment, how to respond to
0:29 – 0:30
different stimulus,
0:30 – 0:32
how to associate and
0:33 – 0:35
support their microbiome or not.
0:37 – 0:37
It's,
0:37 – 0:38
we developed this,
0:40 – 0:40
we're developing a very
0:40 – 0:43
different perspective than what
0:43 – 0:45
we have generally collectively
0:45 – 0:46
held
0:47 – 0:49
historically on the way that
0:49 – 0:50
plants interact with their
0:50 – 0:51
environment, the way that they
0:51 – 0:52
interact with their microbiome.
0:53 – 0:54
And of course, the way we move
0:54 – 0:55
these boundaries forward is
0:55 – 0:58
constantly by researching,
0:58 – 0:59
by studying more and trying to
0:59 – 1:00
understand how
1:01 – 1:01
interactions are happening.
1:02 – 1:03
And some of these some
1:04 – 1:05
of these experiments can be very
1:05 – 1:07
sophisticated, but often some of
1:07 – 1:09
the best discoveries come from
1:09 – 1:11
the simple experiments or simple
1:11 – 1:12
observations out in the field.
1:13 – 1:14
So for our conversation today,
1:15 – 1:17
I'm joined by Maisie Canetop,
1:17 – 1:18
who
1:18 – 1:20
ran an experiment that
1:20 – 1:23
caught our team's attention here
1:23 – 1:24
at AEA. And they were delighted
1:24 – 1:25
by
1:25 – 1:27
the simplicity of the
1:27 – 1:28
experiment, the elegance of the
1:28 – 1:29
experiment and the results that
1:29 – 1:30
came out of it.
1:31 – 1:33
So Maisie, thank you for being
1:33 – 1:34
willing to join me today.
1:35 – 1:36
Tell us a little bit about
1:36 – 1:38
yourself, your background and
1:38 – 1:39
the experiment and what inspired
1:39 – 1:40
you to run this experiment.
1:41 – 1:42
For the past three
1:43 – 1:45
years at my middle school, we
1:45 – 1:47
have been required to do a
1:47 – 1:48
Stanford project every year.
1:48 – 1:51
and my dad is he works
1:51 – 1:55
in like an urban farm and works
1:55 – 1:57
to promote farm and
1:58 – 1:59
like the
2:01 – 2:02
He works in that area.
2:02 – 2:05
So I have grown up around always
2:05 – 2:06
hearing about that in my house.
2:06 – 2:08
And I knew I wanted to explore
2:08 – 2:09
something similar to that.
2:10 – 2:14
And a huge problem that I
2:14 – 2:15
think impacts a lot of young
2:15 – 2:18
people is climate change and the
2:18 – 2:19
impact on the environment that
2:19 – 2:20
humans are having.
2:20 – 2:23
So I wanted to connect those two
2:23 – 2:24
areas.
2:24 – 2:27
So I decided with the help of
2:27 – 2:28
two soil scientists,
2:29 – 2:31
Dr. Akila Martin and Dr.
2:31 – 2:31
Israel,
2:32 – 2:35
that I wanted to research how we
2:35 – 2:37
could exchange the use of
2:37 – 2:38
harmful agrochemicals that are
2:38 – 2:41
depleting soils and exchange
2:41 – 2:43
those for endophytes,
2:43 – 2:44
a type of bacteria,
2:45 – 2:46
which
2:45 – 2:47
instead of depleting soils,
2:48 – 2:50
helps regenerate them and
2:50 – 2:50
promotes
2:50 – 2:52
ecosystem health as well as
2:52 – 2:53
plant health.
2:53 – 2:55
And so what did your experiment
2:55 – 2:56
end up looking like?
2:56 – 2:57
So the way I started,
2:58 – 2:59
I took buckwheat seeds,
3:00 – 3:02
and I also took soil, and I
3:02 – 3:04
sterilized that soil because I
3:04 – 3:06
was only testing one type of
3:06 – 3:07
bacteria, so I needed to control
3:07 – 3:08
the environment.
3:08 – 3:11
And I inoculated some seeds,
3:12 – 3:14
and I didn't inoculate the other
3:14 – 3:15
seeds.
3:15 – 3:17
And I had four different groups.
3:17 – 3:18
I had one group that was the
3:18 – 3:19
control,
3:19 – 3:21
which was the non -inoculated
3:21 – 3:23
seeds grown in sterilized soil.
3:23 – 3:24
I had one group that was
3:24 – 3:26
inoculated seeds grown in
3:26 – 3:27
sterilized soil.
3:27 – 3:28
I had one group that was
3:28 – 3:31
inoculated seeds grown in non
3:31 – 3:32
-sterilized soil, so soil that
3:32 – 3:34
was just collected from my
3:34 – 3:35
garden.
3:35 – 3:37
And then I had a non
3:37 – 3:38
-sterilized,
3:38 – 3:39
sorry,
3:39 – 3:41
non -inoculated seeds grown in
3:41 – 3:42
non -sterilized soil.
3:43 – 3:46
I proceeded to grow those plants
3:46 – 3:47
for different periods of time.
3:47 – 3:49
So I had plants growing for two
3:49 – 3:50
weeks, four weeks, and then
3:50 – 3:51
three months.
3:52 – 3:54
And after that,
3:54 – 3:56
period of time, I would collect
3:56 – 3:59
plant samples and clean them
3:59 – 4:02
with a mesh to get all the soil
4:02 – 4:03
off the roots.
4:03 – 4:06
And originally, my plan was to
4:06 – 4:08
use a software called Rizovision
4:08 – 4:11
that analyzes plant root hairs.
4:11 – 4:12
But
4:12 – 4:14
unfortunately, I didn't have
4:14 – 4:16
access to the proper technology
4:16 – 4:18
to use that software.
4:18 – 4:20
So I ended up having to
4:22 – 4:25
engineer my plan and I decided
4:25 – 4:27
to use a microscope to take
4:27 – 4:28
pictures of the roots and then
4:28 – 4:29
count the root hairs myself
4:29 – 4:31
instead of using the software to
4:31 – 4:32
do it for me.
4:32 – 4:34
Which ended up taking a little
4:34 – 4:36
more time than I had originally
4:36 – 4:37
planned
4:37 – 4:40
but it ended up it ended up okay
4:40 – 4:43
and I discovered after
4:43 – 4:44
collecting samples from all my
4:44 – 4:45
data
4:45 – 4:48
from all four groups that the
4:48 – 4:50
plants that were inoculated
4:50 – 4:51
overall
4:53 – 4:55
despite being in non -sterilized
4:55 – 4:57
soil versus sterilized soil,
4:58 – 5:00
overall had the most number of
5:00 – 5:00
root hairs.
5:01 – 5:02
So root hairs are,
5:03 – 5:04
unlike a root,
5:04 – 5:06
they have little shoots that you
5:06 – 5:07
can't see with your eyes,
5:08 – 5:08
they're microscopic,
5:09 – 5:12
and they allow bacteria to cycle
5:12 – 5:13
through the plant.
5:13 – 5:15
So by measuring root hairs, it
5:15 – 5:16
was a good way to see how the
5:16 – 5:18
endophytes were actually
5:18 – 5:19
impacting the plant.
5:19 – 5:21
And I also measured bricks,
5:21 – 5:23
which is a way to measure the
5:23 – 5:24
sugar level of a plant.
5:25 – 5:26
or of any liquid.
5:27 – 5:28
And I found that,
5:29 – 5:29
well,
5:29 – 5:31
originally I thought that the
5:31 – 5:32
plants that were inoculated
5:32 – 5:33
would have higher brooks levels,
5:34 – 5:35
but it turned out they didn't,
5:35 – 5:36
which I realized was because
5:36 – 5:38
they were using their sugars to
5:38 – 5:39
flower,
5:38 – 5:40
while the plants that weren't
5:40 – 5:42
inoculated still were using
5:42 – 5:44
their sugars to produce
5:44 – 5:45
cotyledons and grow new leaves,
5:46 – 5:47
which meant that the sugars were
5:47 – 5:48
more concentrated,
5:48 – 5:49
which
5:49 – 5:50
in turn supported my original
5:50 – 5:53
hypothesis that the inoculated
5:53 – 5:55
plants and that the endophytic
5:55 – 5:57
bacteria would benefit the
5:57 – 5:57
plants.
5:57 – 5:59
So this is an important point.
5:59 – 6:01
Did you observe the plants to be
6:01 – 6:02
at different developmental
6:02 – 6:03
stages or to develop at
6:03 – 6:04
different speeds based on
6:04 – 6:05
whether they were inoculated?
6:05 – 6:07
The inoculated plants,
6:07 – 6:09
not only did they develop
6:09 – 6:10
faster, but they also had a
6:10 – 6:11
higher survival rate.
6:11 – 6:12
So the plants that weren't
6:12 – 6:14
inoculated, more of them died
6:14 – 6:15
and didn't survive.
6:16 – 6:17
The plants that were inoculated
6:17 – 6:20
had healthier, fuller leaves and
6:20 – 6:22
began to flower faster, while
6:22 – 6:22
the plants that weren't
6:22 – 6:23
inoculated
6:24 – 6:26
hadn't started to flower yet by
6:26 – 6:27
the time my experiment ended.
6:28 – 6:29
So even over the course of a 90
6:29 – 6:31
-day experiment, they were not
6:31 – 6:32
yet at the flowering stage,
6:32 – 6:33
which is quite slow for
6:33 – 6:34
buckwheat.
6:35 – 6:36
Yeah.
6:36 – 6:38
I think that's also due to the
6:38 – 6:39
fact that it was in serum soil,
6:40 – 6:41
so there was very little
6:41 – 6:42
microbial activity.
6:43 – 6:45
which wasn't great for the
6:45 – 6:46
buckwheat plant.
6:46 – 6:47
How significant were the
6:47 – 6:48
differences that you observed in
6:48 – 6:49
the root hair development?
6:50 – 6:51
And I'm also curious just about
6:51 – 6:52
the overall root biomass.
6:52 – 6:54
What did the root biomass and
6:54 – 6:55
the root hair development,
6:56 – 6:57
how was it different?
6:57 – 6:58
And I'm also curious about how
6:58 – 6:59
it was different on the
6:59 – 7:00
sterilized versus the non
7:00 – 7:01
-sterilized soil.
7:02 – 7:03
Yeah,
7:03 – 7:06
so I didn't take the biomass of
7:06 – 7:08
the roots. I only looked at root
7:08 – 7:09
hair growth.
7:09 – 7:11
and originally I wanted to
7:11 – 7:13
measure like the length of root
7:13 – 7:14
hairs, but I wasn't able to do
7:14 – 7:16
that without like the software
7:16 – 7:18
that I wanted to use, so I
7:18 – 7:20
couldn't do that in my
7:20 – 7:20
experiment.
7:21 – 7:24
So the plants grown that were
7:24 – 7:26
inoculated in sterile soil
7:26 – 7:27
versus
7:27 – 7:30
non -inoc, like the non
7:30 – 7:31
-inoculated ones in sterile
7:31 – 7:32
soil,
7:32 – 7:33
they had pretty,
7:34 – 7:34
they had like a
7:35 – 7:36
pretty similar numbers.
7:36 – 7:37
The ones that were inoculated
7:37 – 7:40
did have more overall, but they
7:40 – 7:41
were closely followed by the
7:41 – 7:42
ones
7:42 – 7:44
that weren't inoculated.
7:44 – 7:46
The biggest difference,
7:46 – 7:47
even though they had similar
7:47 – 7:48
root hairs, the biggest
7:48 – 7:51
difference was in the
7:51 – 7:54
growth that I observed, like how
7:54 – 7:55
quickly they developed.
7:55 – 7:58
And what was, how would you
7:58 – 7:58
describe the differences?
7:59 – 8:00
How much more rapidly did the
8:00 – 8:01
plants develop that were
8:01 – 8:02
inoculated?
8:01 – 8:02
What were the,
8:03 – 8:04
if you can describe that?
8:06 – 8:07
They were
8:08 – 8:09
very different.
8:09 – 8:10
At the end of my experiment,
8:11 – 8:13
um, I have, I took photos of the
8:13 – 8:15
control and the plants that
8:15 – 8:16
were,
8:16 – 8:17
um,
8:17 – 8:18
the seeds that were, weren't
8:18 – 8:19
inoculated and compared them to
8:19 – 8:20
the ones that were.
8:20 – 8:22
And the plants that weren't
8:22 – 8:24
inoculated, they only had like,
8:24 – 8:26
like five leaves, and they still
8:26 – 8:29
had cotyledons, as I said, and
8:29 – 8:30
they weren't flowering, and they
8:30 – 8:31
were pretty short,
8:32 – 8:33
um,
8:33 – 8:34
while the plants that were, they
8:34 – 8:35
were tall, like they were like
8:35 – 8:36
spilling out of the containers,
8:37 – 8:39
and they had many leaves, and
8:39 – 8:40
the leaves were fully developed,
8:40 – 8:42
and they were flowering.
8:42 – 8:44
So that was on the sterilized
8:44 – 8:45
soil. Was a similar pattern also
8:45 – 8:47
true on the non -sterile soil?
8:47 – 8:48
Yeah,
8:48 – 8:50
they were less developed than
8:50 – 8:52
the plants that were inoculated
8:52 – 8:55
in the non -sterilized soil,
8:55 – 8:56
but
8:56 – 8:57
they
8:58 – 9:00
were kind of like in the middle
9:00 – 9:01
ground.
9:01 – 9:03
So they had developed leaves and
9:04 – 9:06
didn't have cotyledons anymore,
9:06 – 9:09
but weren't as far along as the
9:09 – 9:09
plants that were inoculated.
9:10 – 9:11
The central
9:12 – 9:15
thesis or hypothesis that you
9:15 – 9:15
were
9:16 – 9:17
that your testing method is
9:17 – 9:20
based on is you're extrapolating
9:20 – 9:22
the presence or the activity
9:23 – 9:26
of associated endophytes based
9:26 – 9:27
on root hair development
9:28 – 9:29
in essence.
9:31 – 9:32
And I'm sorry, I kind of
9:32 – 9:34
distracted you because I asked
9:34 – 9:35
about overall root biomass.
9:35 – 9:37
But what did you discover in
9:37 – 9:39
terms of the root hair
9:39 – 9:40
development
9:40 – 9:41
Did you have substantially more
9:41 – 9:42
root hair?
9:42 – 9:43
How much more?
9:43 – 9:45
So at the first
9:46 – 9:47
point,
9:48 – 9:49
the first time that I collected
9:49 – 9:50
the
9:50 – 9:51
root hairs,
9:51 – 9:53
the inoculated plants had a
9:55 – 9:56
huge amount
9:56 – 9:57
more.
9:57 – 10:00
It was very apparent.
10:00 – 10:02
They had triple
10:04 – 10:05
the amount of root hairs.
10:07 – 10:08
And then as time passed,
10:09 – 10:10
the other groups slowly started
10:10 – 10:12
to catch up. But the gap, they
10:12 – 10:13
were never able to close the
10:13 – 10:14
gap.
10:14 – 10:15
So
10:15 – 10:17
during the second
10:17 – 10:18
time
10:20 – 10:21
area, like the second - So you
10:21 – 10:23
were collecting at two weeks and
10:23 – 10:24
four weeks and then three
10:24 – 10:25
months, I think you said?
10:25 – 10:26
Three months.
10:26 – 10:27
Yeah.
10:27 – 10:29
So at the second time, they had
10:29 – 10:31
about 300 for
10:32 – 10:32
the,
10:32 – 10:34
that I counted, like the
10:34 – 10:36
roothers, the native microbes
10:36 – 10:38
and inoculated, and then this
10:38 – 10:39
native microbes.
10:39 – 10:40
And then the inoculated plants
10:40 – 10:41
had 600.
10:42 – 10:43
So it was,
10:44 – 10:45
almost triple, and then
10:46 – 10:48
after three months,
10:49 – 10:51
the plants that were inoculated
10:51 – 10:54
in sterilized soil
10:54 – 10:55
versus the plants that were
10:55 – 10:58
inoculated in native soil had
10:58 – 10:59
almost 300 more.
11:00 – 11:03
So over time, the gaps slowly
11:03 – 11:05
started to close, but the
11:05 – 11:06
inoculated plants always had
11:06 – 11:07
more fruit.
11:07 – 11:08
I
11:08 – 11:09
think this is a common
11:09 – 11:11
phenomenon that we observe in
11:11 – 11:13
practical application out in the
11:13 – 11:14
field, is that
11:14 – 11:17
when seeds are inoculated, there
11:17 – 11:17
is often this
11:18 – 11:19
this early and rapid
11:19 – 11:21
proliferation of biology.
11:21 – 11:23
And if you have soils that have
11:23 – 11:25
where the microbiome is
11:25 – 11:25
compromised,
11:26 – 11:28
they do have the ability to
11:28 – 11:30
recruit microbes from the soil
11:30 – 11:32
microbiome, but it just it takes
11:32 – 11:33
time to build up that soil, that
11:33 – 11:34
root microbiome.
11:35 – 11:37
and they never fully catch up to
11:37 – 11:40
what um so your your
11:40 – 11:41
experimental evidence matches
11:41 – 11:42
very well with what we observe
11:42 – 11:43
out in the field
11:45 – 11:48
so the what was the how
11:49 – 11:51
difficult was it to set up this
11:51 – 11:53
experiment and to conduct it
11:55 – 11:55
um i
11:56 – 11:59
had so when i started my
11:59 – 12:00
experiment i started it like
12:01 – 12:03
months more than three months
12:03 – 12:06
before like the deadline and
12:06 – 12:08
I had to repeat the experiment
12:08 – 12:09
three
12:09 – 12:11
times, because in the beginning,
12:12 – 12:13
my soil
12:13 – 12:16
had the pH wasn't
12:16 – 12:19
the right pH for the buckwheat.
12:19 – 12:21
And many of them died, and I
12:21 – 12:22
didn't have enough to collect
12:22 – 12:23
the number of samples that I
12:23 – 12:24
needed.
12:24 – 12:25
So then I started over,
12:26 – 12:27
and I repeated the same process
12:27 – 12:28
again.
12:28 – 12:29
And the same thing happened,
12:29 – 12:30
where they didn't survive.
12:31 – 12:32
So I did it a third time,
12:33 – 12:35
and I changed the pH by adding
12:35 – 12:36
sulfur.
12:36 – 12:38
because buckwheat prefers more
12:38 – 12:39
acidic soils.
12:40 – 12:40
And
12:40 – 12:43
this time I did have a lot of
12:43 – 12:44
samples.
12:44 – 12:45
I also think that
12:46 – 12:48
it was difficult for the
12:48 – 12:49
buckwheat to survive in
12:49 – 12:51
completely sterilized soil,
12:51 – 12:53
which contributed,
12:53 – 12:55
I think, to the higher
12:55 – 12:58
death rate of the buckwheat
12:58 – 12:59
plants.
13:00 – 13:03
So it was difficult to have
13:03 – 13:06
to redo my whole experiment
13:06 – 13:07
multiple times to get the
13:07 – 13:08
results that I wanted.
13:11 – 13:12
it was
13:13 – 13:15
another challenge for me was
13:15 – 13:17
taking all the pictures of all
13:17 – 13:18
the root samples because I had
13:19 – 13:21
I had a lot of groups I had a
13:21 – 13:23
lot of root samples and I was
13:23 – 13:25
taking I had to take like
13:27 – 13:27
like
13:28 – 13:31
70 between like 50 and 70 photos
13:31 – 13:33
of each sample and then count
13:33 – 13:35
the number of root hairs for
13:35 – 13:36
every single photo for every
13:36 – 13:37
single root.
13:38 – 13:41
And that took a lot of time.
13:41 – 13:42
So that was challenging,
13:43 – 13:44
but
13:44 – 13:46
it worked out in the end, so.
13:47 – 13:48
That sounds like a lot of
13:48 – 13:49
counting anyway.
13:49 – 13:50
Yeah.
13:50 – 13:52
Yeah, it was a lot of testing.
13:52 – 13:56
So you mentioned the unexpected
13:56 – 13:58
results in regards to the
13:58 – 13:59
variation in BRICS response
13:59 – 14:00
versus the plants that were
14:00 – 14:02
flowering and those that were
14:02 – 14:02
not.
14:03 – 14:04
Were there any other results
14:04 – 14:06
that surprised you or that were
14:06 – 14:07
unexpected?
14:07 – 14:10
It surprised me that
14:10 – 14:12
the plants that
14:12 – 14:14
were grown in native microbes
14:14 – 14:15
were,
14:16 – 14:17
like
14:16 – 14:18
how you described earlier, like
14:18 – 14:20
they started with
14:21 – 14:23
lower number of root hairs and
14:23 – 14:24
it surprised me how they were
14:24 – 14:26
able to catch up over time.
14:28 – 14:28
But
14:30 – 14:32
my hypothesis in the end was
14:32 – 14:34
proven correct, so although the
14:34 – 14:35
BRICS number surprised me,
14:36 – 14:39
and the initial to
14:39 – 14:41
final numbers of plants grown
14:41 – 14:43
without the inoculant surprised
14:43 – 14:44
me,
14:45 – 14:45
the
14:46 – 14:48
overall results supported what I
14:48 – 14:49
initially thought.
14:50 – 14:53
I think it's worth noting for
14:55 – 14:56
for the benefit of our
14:56 – 14:56
listeners.
14:56 – 14:59
We're describing this experiment
14:59 – 15:00
in terms of the endophytic
15:00 – 15:02
microbes. And obviously you're
15:02 – 15:03
measuring root hair development
15:03 – 15:06
with, I think, based on Dr.
15:06 – 15:07
James White's work and other
15:07 – 15:08
people's work. Those certainly
15:08 – 15:10
are associated with the presence
15:10 – 15:11
of endophytes within the plant
15:11 – 15:12
and their activity.
15:14 – 15:16
And also the
15:16 – 15:17
product that you were using was
15:17 – 15:18
not just endophytic microbes
15:18 – 15:19
alone.
15:19 – 15:20
It was also mycorrhizal fungi
15:20 – 15:21
and other things.
15:22 – 15:24
And this year,
15:25 – 15:27
I'm building off of my project
15:27 – 15:28
from last year,
15:28 – 15:31
and I'm taking individual
15:31 – 15:33
strains of endophytes,
15:33 – 15:35
specifically Bacillus species,
15:36 – 15:37
like Bacillus subtilis and
15:37 – 15:38
Thuringiensis,
15:39 – 15:40
and inoculating buckwheat to see
15:40 – 15:43
how the specific strains impact
15:43 – 15:44
the root hairs.
15:45 – 15:47
And then I'm also growing
15:47 – 15:50
buckwheat on a farm to see how
15:50 – 15:53
the inoculant will work in a
15:53 – 15:55
actual agricultural environment
15:55 – 15:58
instead of in a lab laboratory
15:58 – 15:58
environment.
15:59 – 16:00
Yeah, it would be interesting.
16:00 – 16:02
Of course, it would add another
16:02 – 16:03
layer of complexity, but it
16:03 – 16:04
would be interesting to, again,
16:04 – 16:06
compare to see if there is a
16:06 – 16:08
contrast between the individual
16:08 – 16:10
species and the combination of
16:10 – 16:11
different species that also
16:11 – 16:12
includes the mycorrhizae.
16:14 – 16:15
Yeah.
16:16 – 16:17
Well,
16:17 – 16:17
Maisie, thank you.
16:17 – 16:18
Thank you for running the
16:18 – 16:20
experiment. Oh, our team would
16:20 – 16:21
not be happy if I didn't mention
16:21 – 16:22
that the product that Maisie was
16:22 – 16:24
using was actually BioCode Gold.
16:25 – 16:26
So Maisie, thank you for that
16:26 – 16:27
experiment.
16:27 – 16:29
Thank you for the
16:29 – 16:31
work that you're doing and being
16:31 – 16:33
willing to come on here onto the
16:33 – 16:33
show and to talk about it.
16:34 – 16:34
Thanks for all that you do.
16:35 – 16:36
Thank you.
16:35 – 16:36
Thanks for having me.
16:38 – 16:40
The team at AEA and I are
16:40 – 16:41
dedicated to bringing this show
16:41 – 16:43
to you because we believe that
16:43 – 16:45
knowledge and information is the
16:45 – 16:46
foundation of successful
16:46 – 16:48
regenerative systems.
16:48 – 16:50
At AEA, we believe that growing
16:50 – 16:52
better quality food and making
16:52 – 16:54
more money from your crops is
16:54 – 16:54
possible.
16:55 – 16:56
And since 2006,
16:56 – 16:57
we've worked with leading
16:57 – 16:58
professional growers to help
16:58 – 16:59
them do just that.
17:00 – 17:02
At AEA, we don't guess.
17:02 – 17:03
We test. We analyze.
17:04 – 17:05
And we provide recommendations
17:05 – 17:07
based on scientific data,
17:07 – 17:08
knowledge, and experience.
17:09 – 17:10
We've developed products that
17:10 – 17:11
are uniquely positioned to help
17:11 – 17:13
growers make more money with
17:13 – 17:14
regenerative agriculture.
17:14 – 17:16
If you are a professional grower
17:16 – 17:18
who believes in testing instead
17:18 – 17:18
of guessing,
17:19 – 17:20
someone who believes in a
17:20 – 17:22
better, more regenerative way to
17:22 – 17:22
grow,
17:23 – 17:25
visit advancingecoag .com and
17:25 – 17:27
contact us to see if AEA is
17:27 – 17:27
right for you.
