Video Transcript
0:01
hello everyone its Aaron breimer with
0:03
Veritas farm business management if
0:05
you’ve watched some of our other videos
0:07
or presentations you may recognize this
0:09
slide I’ve used it before to talk about
0:11
how good decisions can be made in
0:13
agriculture a combination of gut
0:15
instinct past experience and more
0:18
recently precision AG data when you’re
0:20
able to balance all three better
0:21
decisions can be made I share this with
0:24
you today because we’ve developed a new
0:26
tool here at Veritas that takes gut
0:30
instinct past experience data and allows
0:33
you to get better insights from your
0:35
soil test data yes soil test data so
0:39
there’s some basic methodology in soil
0:42
testing you can have your bulk samples
0:44
one sample every 25 acres in Ontario one
0:48
sample may be all the way up to one
0:50
sample every 160 acres in Western Canada
0:53
in the 1990s grid sampling was all the
0:56
rage you took a whole bunch of samples
0:58
you fed it into a computer it created
1:01
the map that was supposed to reflect
1:03
what was going on in your field farmers
1:05
said it’s not always as accurate as we
1:08
would like so we started to get into
1:10
zone sampling drawing predetermine tones
1:13
sampling those and creating maps from
1:15
them so you can see we’ve got the two
1:19
cases we’ve got the smaller feel up
1:21
above which in this case is 40 acres and
1:23
below it’s our hypothetical field now
1:26
the latest thing that we’re starting to
1:28
see in the soil testing world it’s what
1:31
we call soil sensing equipment there’s a
1:33
lot of different systems on the market
1:35
not going to talk about each one
1:36
actually not going to talk about any of
1:38
them they all have one thing in common
1:40
they collect a massive amount of data
1:42
and it allows you to get very good
1:44
resolution of your field in fact I
1:46
suspect with that kind of resolution
1:48
you’re starting to see the pattern now
1:51
there’s the actual field and the work of
1:54
art okay you might be asking well which
1:58
one’s right for you that’s not what the
2:00
point of this video is we do have
2:02
another video around capturing
2:03
variability I encourage you to have a
2:05
look at it if you’re curious as to which
2:08
system is right for you
2:09
we’ve been able to figure out how to
2:11
quantify capturing for
2:13
a really cool video check them now you
2:17
get your soil test back so what how much
2:20
fertilizer do you actually need well
2:22
there’s a pile of different ways a pile
2:24
of different opinions on how to read a
2:26
soil test but it all comes down to is
2:28
this idea of what is the limiting factor
2:30
this goes all the way back to 1873 we
2:34
call it lie Biggs a lot of the minima
2:36
you guys have seen this before it is the
2:39
barrel the staves are different heights
2:40
the water pours out whichever Steve is
2:43
the lowest okay we get it
2:46
the challenges which is that lowest
2:50
state the example I like to use and I’ll
2:52
challenge agronomists with this if you
2:55
got a soil test back and the pH was 5.9
2:59
the phosphorus is 11 parts per million
3:02
and the potash is 76 parts per million
3:04
and you’re going to be allowed to fix
3:07
one which one do you want to fix first
3:10
a lot of agronomists right now are
3:13
saying it’s pH really you didn’t even
3:17
ask what crop it was you didn’t ask if
3:19
it was a clay or a sand and a great away
3:22
you jump to pH I’m thinking that if I
3:26
had a clay ground and I had corn going
3:30
into that field and I only had 11 parts
3:34
per million of phosphorous that would be
3:35
the one I’d be fixing first so this
3:39
comes back to that gut instinct past
3:42
experience right
3:44
wouldn’t it be a cool idea if we could
3:47
combine data with those first two that
3:51
gut instinct that past experience to
3:53
make better recommendations that’s what
3:55
this tool is designed to do so what
3:57
we’ve done is we’ve taken soil test data
4:00
it can be bulk not ideal but both will
4:03
work on our tool it can be grid it can
4:06
be zone it can be that intensive soil
4:09
sensing technology that collects a pile
4:13
of data and what we do is we take your
4:15
yield data yes the yield data that comes
4:18
out of your combine that yield data that
4:20
draws really pretty maps but what else
4:24
do you really get to do with it no maybe
4:26
you get to look
4:26
how different varieties perform but what
4:29
we do is we overlay those two and we
4:31
start looking for the what we call the
4:34
response curves so here you can see how
4:37
the potash is changing based off of this
4:41
CC and what we’re actually looking at is
4:44
the effect of the potash on yield by CEC
4:48
those of you not familiar with CEC
4:51
that’s cation exchange capacity it’s a
4:54
okay way I guess of being able to see if
4:58
you’ve got a really heavy soil or really
5:00
sandy soil the lower the number and the
5:02
CEC the sandier soil so there’s the
5:06
example of potash here is the example of
5:10
phosphorus so bicarb and how that has
5:14
different impact now what we are able to
5:17
do with their tool and some people would
5:21
call it an algorithm now quick note
5:23
about algorithms algorithms are a great
5:26
way to confuse people if you say
5:28
algorithms everybody gets scared and
5:30
says oh I don’t know if I want to ask
5:31
any deep questions so we’re not going to
5:33
really use the term algorithm this is a
5:36
tool for it for you and this tool we
5:39
actually call it soil statistically
5:42
obtained ideal levels it uses your soil
5:45
test data your yield data and what we
5:48
create is we create these soil limiting
5:51
maps so in any part of your field you
5:55
know what is the number one soil
5:58
limiting factor this is the factor that
6:01
is limiting your yield
6:03
maybe it’s pH maybe I’m wrong maybe it’s
6:06
phosphorus maybe it’s potash depending
6:09
on which crop now so ulema d1 pretty
6:13
cool but we’re also able to create soil
6:15
limiting to and soil limiting three I
6:18
thought these maps were awesome when I
6:20
first seen them however a lot of people
6:24
have said there’s a lot of color there
6:25
and they’re very confusing all right
6:28
let’s see if we can find an easier way
6:29
to do it so what we did was we combined
6:32
all three so here’s the second set of
6:35
soil Maps remember statistically
6:37
obtained ideal levels
6:40
this map shows where bicarb phosphorous
6:44
is limiting on that field in one of the
6:48
top three either SAR limiting one two or
6:51
three where it’s green phosphorus is not
6:56
a limiting factor where it’s red it is
6:59
this tool goes one step further and if
7:02
it’s excessive
7:03
another color will pop up and say you’ve
7:06
got too much phosphorus in that area
7:09
here’s the example of potash once again
7:13
where it’s green it is not limiting
7:16
where it is red it is now these are just
7:20
two we give you a full set if you’re
7:23
testing for phosphorus potash boron
7:28
magnesium copper whatever you’re testing
7:32
we will put it into this tool we will
7:35
use your deal deal like I said your soil
7:38
data and it’s gonna come back with a set
7:41
of these maps in order for you to be
7:43
able to understand what is limiting your
7:47
yields yes mother nature always wins
7:50
but fertility as is described as the
7:54
next best thing to rain so this is a
7:58
great tool we really encourage you to
8:01
get in touch with us if you want to test
8:03
this out for yourself you’d love to
8:06
challenge this tool I know I’ve been
8:09
wrong a couple times with it I used to
8:11
always say phosphorus is the number one
8:13
thing that do you have to fix well no
8:17
it’s not sometimes it is pH sometimes it
8:20
is potash it’s sometimes boron what a
8:24
cool tool give us a show let us show you
8:27
how it works thanks very much