Addendum
No.
1
to
MRID
#
433046­
01
DER
Study
Title:
Huhtanen,
K.
L.
1994.
An
aerobic
soil
metabolism
study
with
S­
23031.
Guideline
Number:
162­
1
Reasons
for
changes:


Upgrade
of
status
from
(
Upgradable,
Unacceptable)
to
Acceptable.
Specify
why

Recalculation
of
t
1/
2
values.
Specify
why

Recalculation
of
Koc
values.
Specify
why

Identification
of
degradates

Others
Half­
life
was
recalculated
to
include
the
degradate
IMCA,
or
flumiclorac­
acid,
along
with
the
parent,
flumiclorac­
pentyl,
for
use
in
the
Drinking
Water
Assessment.
Calculation
was
on
the
basis
of
applied
radiation
(%
AR),
and
was
done
with
SigmaPlot,
using
2­
parameter,
single
first­
order
(
SFO/
2)
procedure.
This
study
was
for
test
compound
labeled
in
the
tetrahydrophthalic
acid
ring.

Results
Procedure
Half­
life
or
DT50
3*
half­
life
or
DT90
Intercept
p­
value,
R2
Empirical
4
to
7
days
85
to
168
days
98.2
%
AR
­­

SFO/
2
7.3
days
21.8
days
91.9
%
AR
<
0.0001,
0.926
Revised
by
:
____________________________
Date:
____________

Secondary
reviewed
by:
___________________
Date:
___________

­­
August
2000
 
MRID
43304601
aerobic
soil
metabolism
of
flumiclorac­
pentyl
(
THP
label)

day
parent
IMCA
sum
0
98.2
0
98.2
0
98.2
0
98.2
0.0833
70.2
26.6
96.8
0.0833
68.8
27
95.8
0.1667
47.7
42.6
90.3
0.1667
53.1
38.9
92
0.25
40.8
52
92.8
0.25
33.8
59.7
93.5
0.5
46.2
38.9
85.1
0.5
47.8
38.4
86.2
1
43.8
40
83.8
1
41.8
42.9
84.7
2
35.2
33.4
68.6
2
38.1
37.6
75.7
4
25.1
30.9
56
4
9.6
26.1
35.7
7
18.7
25.9
44.6
7
19.8
22.7
42.5
14
8.6
15.7
24.3
14
8.5
18.1
26.6
21
10.6
11.8
22.4
21
15.4
10.9
26.3
28
9.6
8.3
17.9
28
9.3
8
17.3
56
12.2
5
17.2
56
14.9
4.6
19.5
85
10.1
2.9
13
85
9.1
1.9
11
168
6.4
1.4
7.8
168
1.6
1.4
3
parent
+
IMCA
by
SFO/
2
(
THP
label)

days
0
50
100
150
0
20
40
60
80
100
120
x
column
1
vs
y
column
1
MRID
43304601
aerobic
soil
metabolism
of
flumiclorac­
pentyl
(
phenyl
label)
vs
Col
4
Nonlinear
Regression
[
Variables]
x
=
col(
1)
y
=
col(
4)
reciprocal_
y=
1/
abs(
y)
reciprocal_
ysquare=
1/
y^
2
'
Automatic
Initial
Parameter
Estimate
Functions
xnear0(
q)=
max(
abs(
q))­
abs(
q)
yatxnear0(
q,
r)=
xatymax(
q,
xnear0(
r))
[
Parameters]
a
=
yatxnear0(
y,
x)
''
Auto
{{
previous:
91.9646}}
b
=
­
ln(.
5)/(
x50(
x,
y)­
min(
x))
''
Auto
{{
previous:
0.0953551}}
[
Equation]
f=
a*
exp(­
b*
x)
fit
f
to
y
''
fit
f
to
y
with
weight
reciprocal_
y
''
fit
f
to
y
with
weight
reciprocal_
ysquare
[
Constraints]
b>
0
[
Options]
tolerance=
0.0001
stepsize=
100
iterations=
100
R
=
0.96267851
Rsqr
=
0.92674992
Adj
Rsqr
=
0.92413384
Standard
Error
of
Estimate
=
9.6028
Coefficient
Std.
Error
t
P
a
91.9646
2.8331
32.4610
<
0.0001
b
0.0954
0.0117
8.1266
<
0.0001
Analysis
of
Variance:
DF
SS
MS
F
P
Regression
1
32667.0621
32667.0621
354.2521
<
0.0001
Residual
28
2581.9965
92.2142
Total
29
35249.0587
1215.4848
PRESS
=
2857.7685
Durbin­
Watson
Statistic
=
0.5722
Normality
Test:
Passed
(
P
=
0.3162)

Constant
Variance
Test:
Failed
(
P
=
0.0092)

Power
of
performed
test
with
alpha
=
0.0500:
1.0000
Regression
Diagnostics:
Row
Predicted
Residual
Std.
Res.
Stud.
Res.
Stud.
Del.
Res.
3
91.9646
6.2354
0.6493
0.6796
0.6729
4
91.9646
6.2354
0.6493
0.6796
0.6729
5
91.2370
5.5630
0.5793
0.6051
0.5981
6
91.2370
4.5630
0.4752
0.4963
0.4895
7
90.5143
­
0.2143
­
0.0223
­
0.0233
­
0.0228
8
90.5143
1.4857
0.1547
0.1613
0.1585
9
89.7982
3.0018
0.3126
0.3253
0.3201
10
89.7982
3.7018
0.3855
0.4012
0.3951
11
87.6829
­
2.5829
­
0.2690
­
0.2787
­
0.2741
12
87.6829
­
1.4829
­
0.1544
­
0.1600
­
0.1572
13
83.6004
0.1996
0.0208
0.0214
0.0210
14
83.6004
1.0996
0.1145
0.1180
0.1159
15
75.9970
­
7.3970
­
0.7703
­
0.7919
­
0.7865
16
75.9970
­
0.2970
­
0.0309
­
0.0318
­
0.0312
17
62.8018
­
6.8018
­
0.7083
­
0.7384
­
0.7323
18
62.8018
­
27.1018
­
2.8223
­
2.9423
­
3.4762
19
47.1775
­
2.5775
­
0.2684
­
0.2879
­
0.2832
20
47.1775
­
4.6775
­
0.4871
­
0.5226
­
0.5157
21
24.2019
0.0981
0.0102
0.0111
0.0109
22
24.2019
2.3981
0.2497
0.2704
0.2659
23
12.4155
9.9845
1.0397
1.0901
1.0939
24
12.4155
13.8845
1.4459
1.5159
1.5537
25
6.3691
11.5309
1.2008
1.2274
1.2391
26
6.3691
10.9309
1.1383
1.1636
1.1713
27
0.4411
16.7589
1.7452
1.7459
1.8162
28
0.4411
19.0589
1.9847
1.9855
2.1035
29
0.0278
12.9722
1.3509
1.3509
1.3720
30
0.0278
10.9722
1.1426
1.1426
1.1491
31
0.0000
7.8000
0.8123
0.8123
0.8072
32
0.0000
3.0000
0.3124
0.3124
0.3073
Influence
Diagnostics:
Row
Cook'sDist
Leverage
DFFITS
3
0.0220
0.0870
0.2078
4
0.0220
0.0870
0.2078
5
0.0166
0.0833
0.1803
6
0.0112
0.0833
0.1476
7
0.0000
0.0799
­
0.0067
8
0.0011
0.0799
0.0467
9
0.0044
0.0767
0.0923
10
0.0067
0.0767
0.1139
11
0.0029
0.0686
­
0.0744
12
0.0009
0.0686
­
0.0427
13
0.0000
0.0581
0.0052
14
0.0004
0.0581
0.0288
15
0.0178
0.0538
­
0.1876
16
0.0000
0.0538
­
0.0074
17
0.0237
0.0799
­
0.2158
18
0.3760
0.0799
­
1.0246
19
0.0063
0.1311
­
0.1100
20
0.0206
0.1311
­
0.2003
21
0.0000
0.1474
0.0045
22
0.0063
0.1474
0.1105
23
0.0590
0.0903
0.3446
24
0.1140
0.0903
0.4895
25
0.0338
0.0429
0.2625
26
0.0304
0.0429
0.2481
27
0.0013
0.0008
0.0525
28
0.0016
0.0008
0.0608
29
0.0000
0.0000
0.0038
30
0.0000
0.0000
0.0032
31
0.0000
0.0000
0.0000
32
0.0000
0.0000
0.0000
95%
Confidence:
Row
Predicted
Regr.
5%
Regr.
95%
Pop.
5%
Pop.
95%
3
91.9646
86.1613
97.7679
71.4559
112.4733
4
91.9646
86.1613
97.7679
71.4559
112.4733
5
91.2370
85.5583
96.9158
70.7632
111.7108
6
91.2370
85.5583
96.9158
70.7632
111.7108
7
90.5143
84.9538
96.0749
70.0730
110.9557
8
90.5143
84.9538
96.0749
70.0730
110.9557
9
89.7982
84.3493
95.2472
69.3870
110.2095
10
89.7982
84.3493
95.2472
69.3870
110.2095
11
87.6829
82.5294
92.8363
67.3485
108.0172
12
87.6829
82.5294
92.8363
67.3485
108.0172
13
83.6004
78.8594
88.3415
63.3667
103.8342
14
83.6004
78.8594
88.3415
63.3667
103.8342
15
75.9970
71.4334
80.5606
55.8041
96.1899
16
75.9970
71.4334
80.5606
55.8041
96.1899
17
62.8018
57.2407
68.3629
42.3603
83.2433
18
62.8018
57.2407
68.3629
42.3603
83.2433
19
47.1775
40.0559
54.2991
26.2576
68.0975
20
47.1775
40.0559
54.2991
26.2576
68.0975
21
24.2019
16.6511
31.7527
3.1320
45.2719
22
24.2019
16.6511
31.7527
3.1320
45.2719
23
12.4155
6.5053
18.3257
­
8.1237
32.9547
24
12.4155
6.5053
18.3257
­
8.1237
32.9547
25
6.3691
2.2929
10.4453
­
13.7193
26.4575
26
6.3691
2.2929
10.4453
­
13.7193
26.4575
27
0.4411
­
0.1270
1.0092
­
19.2376
20.1198
28
0.4411
­
0.1270
1.0092
­
19.2376
20.1198
29
0.0278
­
0.0262
0.0817
­
19.6428
19.6983
30
0.0278
­
0.0262
0.0817
­
19.6428
19.6983
31
0.0000
­
0.0000
0.0000
­
19.6705
19.6705
32
0.0000
­
0.0000
0.0000
­
19.6705
19.6705
