|
|
I = Basic/
DM, ADF, NDF, CP, minerals, RFV |
|||
|
|
II = Basic
+ dNDF, RFQ, ash |
|||
|
|
III = Basic
+ II + RUP |
|||
|
|
|
|
||
|
|
|
I |
II |
III |
|
legume
& grass hays |
X |
X |
X |
|
|
legume
& grass haylages |
X |
X |
X |
|
|
alfalfa hay
only |
X |
X |
X |
|
|
warm &
cool season grasses |
X |
X |
|
|
|
fermented
corn silage |
X |
X no RFQ |
|
|
|
fresh cut
alfalfa: research |
|
|
X |
|
|
roasted
soybeans |
other |
|||
|
fresh clip
alfalfa |
other |
|||
|
unfermented
corn silage |
other |
|||
Equation versions current June, 2007.
NAMING SYSTEM

![]()
Year Product Code Instrument Model
Equation
Variant
08AH
50 -3
Product codes: AH= Legume hay;
CS= corn Silage; GH= Grass hay; MH= Mixed hay; HG= Mixed Haylage.
Instrument Model: 45=Foss
4500; 50=Foss 5000+6500.
Equation level: -1=Basic;
-2=Basic + dNDF+RFQ+Ash; -3= same as -2 + RUP.
Mixed Hay Equation
Filename: 07MH50-(1,2,or 3).eqa
|
Constituent |
N |
Mean |
SD |
SEC |
RSQ |
SECV |
1-VR |
source |
|
DM |
106 |
93.87 |
1.50 |
0.24 |
0.98 |
0.31 |
0.96 |
06mh50.eqa |
|
PROTEIN |
1139 |
17.70 |
5.43 |
0.76 |
0.98 |
0.80 |
0.98 |
NEW |
|
ADF |
1021 |
34.19 |
6.60 |
1.63 |
0.94 |
1.67 |
0.94 |
NEW |
|
NDF |
1274 |
46.60 |
12.36 |
2.01 |
0.97 |
2.07 |
0.97 |
NEW |
|
dNDF48 |
365 |
22.64 |
7.02 |
2.01 |
0.92 |
2.20 |
0.90 |
NEW |
|
CA |
774 |
1.07 |
0.54 |
0.16 |
0.91 |
0.17 |
0.90 |
NEW |
|
P |
764 |
0.27 |
0.08 |
0.04 |
0.72 |
0.04 |
0.70 |
NEW |
|
K |
687 |
2.25 |
0.77 |
0.29 |
0.86 |
0.31 |
0.84 |
NEW |
|
MG |
684 |
0.26 |
0.09 |
0.04 |
0.78 |
0.05 |
0.76 |
NEW |
|
ASH |
676 |
8.61 |
3.07 |
0.94 |
0.91 |
1.02 |
0.89 |
NEW |
|
FAT |
188 |
1.99 |
0.76 |
0.19 |
0.94 |
0.22 |
0.92 |
06mh50.eqa |
|
Lignin |
127 |
6.91 |
2.15 |
1.24 |
0.67 |
1.36 |
0.60 |
NEW |
|
RUP |
102 |
25.37 |
6.78 |
1.40 |
0.96 |
2.35 |
0.88 |
06mh50.eqa |
There was an addition of only
12 samples with in general very little changes. The only change worst
mentioning is about lignin. We had data from donor labs that were added to the
calibration. This addition seems to have decreased performances. However, this
is an old lignin equation and its accuracy may be lower than the SECV may show.
Mixed Haylage Equation
Filename: 07HG50(1,2,or 3).eqa
|
Constituent |
N |
Mean |
SD |
SEC |
RSQ |
SECV |
1-VR |
source |
|
DM |
793 |
94.70 |
2.34 |
0.65 |
0.92 |
0.69 |
0.91 |
06hg50-3.eqa |
|
PROTEIN |
499 |
17.66 |
4.69 |
0.87 |
0.97 |
0.96 |
0.96 |
NEW |
|
ADF |
497 |
37.82 |
6.44 |
1.87 |
0.92 |
1.98 |
0.91 |
NEW |
|
NDF |
882 |
47.34 |
10.89 |
2.25 |
0.96 |
2.35 |
0.95 |
NEW |
|
dNDF48 |
400 |
20.46 |
4.53 |
1.84 |
0.83 |
1.99 |
0.81 |
NEW |
|
ASH |
563 |
10.07 |
3.72 |
1.10 |
0.91 |
1.19 |
0.90 |
NEW |
|
CA |
487 |
1.11 |
0.47 |
0.16 |
0.89 |
0.17 |
0.87 |
NEW |
|
P |
498 |
0.31 |
0.08 |
0.05 |
0.63 |
0.05 |
0.55 |
NEW |
|
K |
473 |
2.50 |
0.81 |
0.31 |
0.85 |
0.36 |
0.81 |
NEW |
|
MG |
478 |
0.29 |
0.10 |
0.06 |
0.71 |
0.06 |
0.67 |
NEW |
|
Lignin |
142 |
8.07 |
2.75 |
1.07 |
0.85 |
1.23 |
0.80 |
NEW |
|
FAT |
116 |
2.65 |
0.77 |
0.31 |
0.84 |
0.35 |
0.79 |
NEW |
|
ADP |
126 |
2.04 |
1.46 |
0.53 |
0.87 |
0.65 |
0.80 |
06hg50-3.eqa |
|
RUP |
116 |
21.92 |
4.14 |
1.24 |
0.91 |
1.42 |
0.88 |
06hg50-3.eqa |
This was the calibration that
has received the largest number of samples for updates (#26). From the donor
labs we had information on FAT and Lignin that were included.
Compared to the previous year
changes in performances were small. Relatively speaking, the largest changes
were on Fat and Lignin showing increases in number of samples ( over 10%) with an increase in error (SECV) for lignin, but
a decrease for FAT. We think these two parameters would greatly benefit from
chemistry coming from donor labs.
.
Alfalfa Hay Equation
Filename: 07AHY50(1,2,or
3).eqa
|
Constituent |
N |
Mean |
SD |
SEC |
RSQ |
SECV |
1-VR |
source |
Bias |
|
DM |
106 |
93.87 |
1.50 |
0.24 |
0.98 |
0.31 |
0.96 |
06AH50-3.eqa |
-1 |
|
PROTEIN |