rice whorl maggot action & defoliator action thresholds
DESCRIPTION
Litsinger, J.A., Bandong, J.P., Canapi, B.L., dela Cruz, C.G., Pantua, P.C., Alviola III A.L., Batay-an, E. 2006. Evaluation of action thresholds against chronic insect pests of rice in the Philippines: II. Whorl maggot and defoliators. International Journal of Pest Management 52:167-180.TRANSCRIPT
Evaluation of action thresholds for chronic rice insect pests in thePhilippines: II. Whorl maggot and defoliators
J. A. LITSINGER1, J. P. BANDONG2, B. L. CANAPI3, C. G. DELA CRUZ2, P. C. PANTUA2,
A. L. ALVIOLA2, & E. H. BATAY-AN III4
1Dixon, CA, USA, 2International Rice Research Institute, Metro Manila, Philippines, 3Monsanto Philippines, Makati,
Metro Manila, Philippines, and 4Philippine Department of Agriculture, Philippines
AbstractAction thresholds as insecticide decision tools were developed and evaluated against chronic vegetative stage insect pests ofirrigated transplanted rice in the Philippines: whorl maggot Hydrellia philippina Ferino (Diptera: Ephydridae) and twolepidopterous defoliators, Naranga aenescens Moore and Rivula atimeta (Swinhoe) (Lepidoptera: Noctuidae). Through aniterative process, new threshold characters and insecticide technologies were evaluated at four sites (categorized as high andlow pest density sites) over a 13-year period with the objectives of minimizing insecticide usage and maximizing farmeradoption. Characters were evaluated as to their ability to predict significant pest densities and yield loss. Significantdifferences occurred between high and low pest density sites among the best characters and monitoring methods for bothpests. Earlier-planted fields were used as a forecasting tool, showing best results in the high pest density sites. Overall, mostthreshold characters performed well but the insecticide response was poor. Insecticide control was better with some thresholdcharacters than others due to better timing. Seedling root soak with isofenphos was more effective than granules or foliarsprays against whorl maggot but required a decision before planting. Foliar sprays were most effective if applied twice (2 and7 days after transplanting). The best performing characters for whorl maggot were 1 – 2 eggs/hill for the low pest densitysites and 15 – 30% damaged leaves in earlier planted fields in high density sites. The best performing characters fordefoliators were 10% damaged leaves monitored in earlier planted fields for high density sites and 10% damaged leaves in lowdensity sites. Carbaryl was the most effective insecticide spray against defoliators that combined performance and relativesafety.
Keywords: Pest control, irrigated rice, insecticides, decision-making, yield loss, planting date, damage pattern
1. Introduction
In the Philippines rice whorl maggot, Hydrellia
philippina Ferino (Diptera: Ephydridae), and the two
lepidopterous defoliators, Naranga aenescens Moore
and Rivula atimeta (Swinhoe)(Noctuidae), are among
the first insect pests to colonize transplanted rice
crops. Damage is concentrated in the vegetative stage
as their densities markedly decline after maximum
tillering for reasons that differ for each pest group.
Whorl maggot larvae feed internally on unfurled
leaves, thus their abundance is correlated with the
issuance of new tillers (Ferino 1968). As tillering
declines after canopy closure, marking the end of the
vegetative stage, new feeding sites become scarce.
On the other hand, natural enemies, which exert a
minimal influence on the whorl maggot, rapidly rise
toward the end of the vegetative stage to curtail the
surface feeding defoliators (van den Berg et al. 1988).
Chlorotic damage symptoms are similar between
both pest groups and are thus often confused by
farmers, but through training, can be distinguished,
as defoliators scrape off plant tissue, whereas whorl
maggot injury causes necrosis of leaf margins (Reissig
et al. 1986).
Decision thresholds have been documented from
surveys of rice farmers (Bandong et al. 2002), where
the unit of measure is often whole fields or the
presence of moths flushed while walking along dykes.
The first action threshold characters developed by
researchers for both whorl maggot and defoliators
were based on percentage damaged leaves with values
ranging from 10 to 30% (Way et al. 1991).
The aim of this study was to improve upon farmers’
methods by developing thresholds based on plant
monitoring to derive the most effective quantifiable,
and statistically reliable, characters for insecticide
decision-making. The type of thresholds was action
thresholds (ATs) rather than economic thresholds as
damage functions (Pedigo et al. 1986; Way et al.
1991) have not been developed.
Selection of a character is an important component
of an AT and is based either on pest damage or a pest
life stage. AT characters that were tested were drawn
from the most promising from farmers as well as ones
we developed. It was noticed that pest abundance
Correspondence: J. A. Litsinger, 1365 Jacobs Place, Dixon CA 95620, USA. Tel: þ1 707 678 9068. Fax: þ1 707 678 9069. E-mail: [email protected]
International Journal of Pest Management, July–September 2006; 52(3): 167 – 180
ISSN 0967-0874 print/ISSN 1366-5863 online � 2006 Taylor & Francis
DOI: 10.1080/09670870600653337
increased in a community in some sites (Department
of Entomology 1984) thus a strategy to improve
timeliness was to monitor earlier-planted, neighbor-
ing fields rather than the target field.
Improvements were sought in the insecticide
response once a threshold was reached. Foliar sprays
and broadcast granules were most popular, but car-
bofuran granules incorporated into the paddy soil
during the last harrowing before transplanting af-
forded protection for the first month after trans-
planting (Seiber et al. 1978). Over 480% control was
readily achieved at a dosage of 1 kg a.i./ha (Arceo and
Heinrichs 1980), but lower dosages would be needed
for farmer adoption.
This is the second of a series of four papers on the
development and evaluation of ATs for chronic insect
pests of rice. The first in the series (Litsinger et al.
2005) provided an overall evaluation of ATs as tools
which contain an economic analysis as well as
substitution of insecticide with nitrogen. Subsequent
papers on leaffolders and stemborers will follow.
2. Materials and methods
The study sites, research teams, and experimental
design were discussed in Litsinger et al. (2005).
2.1. Action thresholds
Thresholds involve a number of variables, any one
of which can affect efficacy. The first variable is a char-
acter such as an insect stage (egg or larva) or its damage
symptom (damaged leaves). Second is the sampling
unit and number of samples to measure the character
(usually 20 hills). Third is the density of the char-
acter per sampling unit (e.g., one whorl maggot egg or
one defoliator larva per hill or percentage damaged
leaves). Normally a single AT character with two
threshold levels for each pest group was tested each
season per site, the lower of which was termed ‘low
level’ (e.g., one egg or larva per hill or 15% damaged
leaves) and the other the ‘high level’ (e.g., two eggs
or larvae per hill or 30% damaged leaves).
New characters were continually being developed
in an iterative process to improve performance. The
levels of each of these thresholds were adjusted
season to season depending on performance (e.g.,
0.5, 1, 2, or 4 whorl maggot eggs/hill). Generally
character densities at sites with higher pest pressure
and more rapid colonization rates were lowered in
both the low and high level treatments and vice versa
for sites with lower pest pressure and less rapid
colonization rates. Lower levels were needed to
respond to heavy infestations as the damage curves
were steeper and earlier warning was required.
Comparing two or more levels each season enabled
more reliable adjustments to be made.
As development of ATs was iterative there was no
balanced design to test the full complement of
characters and response variables in a given trial.
New ideas were tested in the following season’s trials,
some coming from the farmers. Most characters were
tested in multiple sites over several years. Data
analysis after each season entailed comparing yield in
the threshold treatments to that in the untreated
control. Yield loss results were evaluated field by
field to determine if yield loss occurred in each
growth stage where thresholds were reached and
benchmark losses were established. If a benchmark
loss was reached but the threshold was not, the level
was lowered the following season and vice versa.
Another set of variables is associated with the
corrective insecticide response including the chemi-
cal, dosage, and method, timing, and frequency of
application. Insecticide technology likewise evolved
through an iterative process. The first goal was to
achieve the minimum effective dosage whenever
possible for cost savings. Foliar sprays were applied
as described in (Litsinger et al. 2005). Graphs were
drawn to illustrate the weekly pest abundance and
degree of control compared to the untreated check in
each field (e.g., Department of Entomology 1984,
1988). Thus, if efficacy was low, adjustments were
made and research was carried out to improve
performance. AT treatments were assessed for a
period of 1 – 4 weeks after treatment to measure
activity, allowing ample time for the crop to recover
by generating new leaves. In the tropics new leaves
emerge about every 4 days during the vegetative stage,
each leaf having a life of ca. 3 weeks (Yoshida 1981).
Percentage control of each threshold character was
calculated as the change (positive and negative) from
the untreated check. A standard of 480% control
was established (Litsinger et al. 1980a).
2.2. Whorl maggot thresholds
Two AT characters were compared: (1) damaged
leaves and (2) number of eggs per hill. Levels of
damaged leaves (DL) tested included 10, 15, 25, and
30% and were consolidated during analysis into
fewer characters to increase replication: e.g., 10%
and 15%DL became 15%DL, likewise 25% and
30%DL became 30%DL.
The egg density character was designed to achieve
earlier warnings than damaged leaves with a goal to
improve insecticide control. The 0.75-mm whitish
eggs laid singly scattered on either side of a leaf
(usually near the midrib) can be detected with a
trained eye. Sampling could be quickly accomplished
on a young crop due to few tillers per hill. Numbers
of eggs per hill tested ranged from 0.5 (termed as
0.5E), 1 (as 1E), and 2 (as 2E). Four eggs per hill
were tested for only 1 year but it became apparent
this level was too high. In the analysis this character
was combined under 2E.
After several years testing, it was deemed necessary
to find ways to achieve even earlier warnings, and an
idea borrowed from farmers (Bandong et al. 2002)
was to monitor earlier-planted, neighboring fields.
168 J. A. Litsinger et al.
Neighboring fields (NF) were defined as the nearest
two fields planted 1 – 2 weeks earlier than the target
field. Monitoring NF was done twice 7 days apart
beginning 2 – 7 days after transplanting (d.a.t.). Two
NF were monitored per target field with results
averaged. As farmers in irrigated areas tend to plant
within 2 months of one another, such fields were
readily available. NF were selected within 100 m of
each other. The NF characters were tested from 10
to 30%DL (consolidated as above into NF15%DL
and NF30%DL). The egg character also was tested
with NF as NF0.5E, NF1E, and NF2E.
Two further variations involving the egg character
were tested. The first was tested in Zaragoza
where eggs were sampled from the field itself and a
decision was triggered when both the level surpassed
0.5 eggs/hill and incidence started to decline, thus
the response was timed at the ‘egg peak’ (termed
0.5E-pk). It was only tested at the 0.5 egg/hill
level. The second variation termed ‘trap crop’ (tc)
involved removing 20 hills from a neighboring
field 2 – 3 weeks after transplanting (WT) and re-
transplanting them in a 1 m2 block in the co-
operator’s field during the interval between land
preparation and transplanting. The isolated hills were
thought to be attractive to ovipositing females. The
seedlings were monitored for eggs at 4-day intervals
beginning 3 d.a.t. Different levels (0.5, 1, and 2
eggs/hill) were evaluated and combined for analysis
as 1E-tc.
Foliar spraying is the most popular application
method with rice farmers (Litsinger et al. 1980b),
thus four of the most effective chemicals (mono-
crotophos, azinphos-ethyl, triazophos, deltamethrin)
(Arceo and Heinrichs 1980) were compared. But as
farmers rarely utilize manufacturers’ recommended
dosages of any material (Litsinger et al. 1980b),
lower dosages (0.4 kg a.i./ha) were tested (about half
the manufacturers’ recommendation). After several
seasons with below standard control, the single spray
response was changed to double spraying at a 10-day
interval. To reduce costs, dosages were reduced in
each double application to 0.2 kg a.i./ha.
Broadcasting diazinon granules into paddy water is
an alternative to spraying (Pathak 1966) as is soil
incorporation of carbofuran (dela Cruz et al. 1981).
A further improvement in whorl maggot control
involved immersing the roots of seedlings carbosul-
fan SP or isofenphos DS/ha for 4 – 24 h prior to
transplanting in a plastic sheet-lined, small-bunded
paddy constructed next to the seedbed. This seedling
root soak method was performed for both wetbed
and dapog seedlings, but like soil incorporation
required early warning.
2.3. Defoliator thresholds
The first characters tested were percentage da-
maged leaves in the field itself and later in NF. Both
low (10%DL and NF10%DL) and high (30%DL
and NF30%DL) (20 – 30%) threshold levels were
tested. As a means to achieve early warning, larval
(L) densities were censused as a new character at
three levels: 0.5 (0.5L), 1 (1L), and 2 (2L) larvae/hill.
A higher level of 4 larvae/hill was initially tested and
later combined with 2L. A clue in detecting the
highly camouflaged 15 – 25-mm long leaf-green
colored larvae of both species is their characteristic
defoliation injury. Another method utilized when the
plants were small was to bend the rice hill and slap
the foliage to dislodge the larvae which floated on the
water surface for easy detection. During the first
2 years, leaf damage from whorl maggot and defoli-
ators was lumped together in a single %DL
character. But as whorl maggot proved the more
difficult to control, it required a more rigorous
insecticide regime and separate threshold characters.
Three insecticides were evaluated as foliar sprays
against defoliators at their minimum effective do-
sages (0.4 kg a.i. monocrotophos/ha, 0.5 kg a.i.
carbaryl/ha, and 12 g a.i. deltamethrin/ha). Mono-
crotophos was further tested by applying two sprays
at half the dosage (0.2 kg a.i./ha each) with the
second spray 10 days later.
2.4. Sampling methods
Monitoring of AT characters was carried out in the
threshold and untreated plots. Whorl maggot eggs
were counted at 4-day intervals beginning 3 d.a.t.
Defoliator larvae were monitored on a weekly basis.
All sampling was on a per-hill basis from 20 hills
taken in a stratified pattern. The number of tillers
and leaves per hill with pest damage were recorded
on those plant parts as appropriate.
Percentage DL was monitored in the untreated
and AT treatments on a weekly basis from 2 to 5 WT
for both whorl maggot and defoliators as a standard
indicator of pest density as well as to measure
percentage control if insecticide were used. AT
characters were judged by the percentage reduction
of damaged leaves as well as yield gain over the
untreated.
2.5. Threshold assessment
In order to assess the outcome of each AT
character, the pest infestation and yield loss were
both scored against benchmark infestation levels and
associated yield loss in each growth stage. Combin-
ing pest damage and yield loss into a single
benchmark was necessary as yield loss could only
be calculated in a given growth stage and not by pest.
The method was developed in order to evaluate
thresholds for each pest individually. The benchmark
levels were based on Smith et al. (1988). The
benchmark for both whorl maggot and defoliators
for each replicate was attained if infestation levels
exceeded 15% DL (for each pest) and yield loss was
greater than 250 kg/ha in the vegetative stage.
Evaluation of action thresholds for rice whorl maggot and defoliators 169
Four outcomes emerged: (1) if the AT was not
surpassed and was not justified based on both
benchmarks of yield and damage, it was scored
‘correct not to treat’, (2) if the AT was surpassed and
was justified by both benchmarks it was scored
‘correct to treat’, (3) if the AT were not surpassed
but was justified it was scored ‘should have treated’,
and (4) if the AT were reached but was not justified it
was scored ‘should not have treated’. The frequen-
cies of these four outcomes add to 100%.
Six criteria were assessed for each pest’s ATs:
(1) most justified decisions based on the damage þyield loss benchmark, (2) most percentage of ‘correct’
decisions, (3) fewest ‘incorrect’ ‘should have treated’
decisions, (4) fewest ‘incorrect’ ‘should not have
treated’ decisions, (5) highest ratio of errors to
‘correct decisions to treat’, and (6) highest correlation
to yield gain over the untreated. The fifth criterion
rewarded characters that triggered moderate levels of
AT decisions and in doing so made proportionally
fewer errors, as distinguished from characters which
had predominantly ‘correct not to treat’ results.
Chemical control efficacy for treated plots was
measured as the percentage reduction in insect den-
sity (damaged leaves or larvae) in the treated versus
the untreated plot divided by the density in the
untreated plot multiplied by 100. Because each pest
was monitored weekly in the threshold plots, there
was an opportunity to measure the effect of applying
insecticide against non-target pests, termed ‘colla-
teral control’. Such data were analyzed in the same
way as for target pest control.
2.6. Crop age and seasonal damage patterns
Whorl maggot and defoliator damage patterns
were constructed to describe the rates of damage as
the crop aged from an expected low point early in
the crop cycle to a peak sometime later. Knowledge
of such patterns could indicate the minimal AT
monitoring requirements in terms of timing and
frequency. The crop-age damage pattern was des-
cribed for each pest group and site separately from
the averages of each of the four weekly sampling
dates (2 – 5 WT) for each field in the untreated plots.
The results were then averaged over each crop.
Using the same data set a second analysis was
made on the effect of planting date. The hypothesis
supporting monitoring earlier planted fields assumes
progressively increasing pest densities from earlier to
later fields over the season. Data were used from the
untreated plots in the field trials, each of which was
purposely selected to achieve a range of planting
dates over the breadth of each season. The number of
elapsed days between the date the earliest field was
transplanted and date for each succeeding field was
calculated over all crops by site. The number of
elapsed days (seasonal age) from the date the first
field was planted to that for each successive field was
regressed against the mean damage (averaging the
mean weekly counts 2 – 5 WT, and then calculated
as the percentage change from the earliest field).
Regression was carried out for each site separately
on a per field basis and a significant positive corre-
lation would indicate a rising population over the
season.
2.7. Statistical analysis
Results were subjected to one-way ANOVA and
regression/correlation analysis where appropriate.
Treatment means were separated using the paired
t-test for two variables or least significant difference
(LSD) test for more than two variables. Means are
shown with standard errors of the mean (SEM) using
a pooled estimate of error variance.
3. Results
3.1. Pest densities
Whorl maggot infestations averaged 15% damaged
leaves across all crops over the four sites 2 – 5 WT
(Table I). Damage levels in Zaragoza and Koronadal
were twice those in the other two sites with no
significant difference between seasons within any
site. Defoliator damage averaged 5%, three times less
than that of whorl maggot. Defoliator incidence only
surpassed that of whorl maggot in Guimba during
wet seasons. As with whorl maggot, greatest defo-
liator densities occurred in Zaragoza and Koronadal.
No seasonal differences in abundance were apparent
within a site.
3.2. Crop age and seasonal damage patterns
Examining crop age effects for whorl maggot, only
in Zaragoza did damage show a rising trend (from 14
to 22% damaged leaves) over the entire vegetative
period (Figure 1a). In Koronadal, damage had
peaked by 3 WT, before declining steadily thereafter.
No change in trend, either positive or negative, was
noted in the other two sites. Zaragoza and Koronadal
were the sites with highest damage, and it was noted
that AT levels were often exceeded by 2 WT, the
earliest date that damage is expressed.
Similar flat damage patterns over increasing crop
age for defoliators were observed in all four sites
(Figure 1b). The only increasing trend came in
Koronadal, with a slight increase from 6% 2 WT to a
peak of 8% damaged leaves 3 WT and levelling off
thereafter. In Zaragoza damage had peaked on 2 WT
at 12% and actually fell thereafter. Thus except for
whorl maggot in Zaragoza, damage levels had peaked
by 3 WT for both pest groups.
With seasonal effects, average damage incidence of
both pests increased significantly from the earliest to
the latest planted fields in the two sites with highest
damage incidence (Table II). Thus, monitoring
earlier planted fields was justified in Zaragoza and
170 J. A. Litsinger et al.
Koronadal which showed significant linear build
up in infestation levels over the season for whorl
maggot and defoliators. There was no such pattern in
Guimba and Calauan.
3.3. Whorl maggot thresholds
3.3.1. Decision threshold characters. Across the four
sites, whorl maggot incidence surpassed threshold
levels in 40% of fields (column 1), the most for any
one pest in a given growth stage as seen in the upper
half of Table III. Note that the total number of crops
and fields in the site data section is lower than the
totals under the individual threshold data section
because more than one threshold character was
normally tested per field. Greatest frequency of
surpassing thresholds occurred in Koronadal and
Zaragoza (55 – 57% of fields), twice that of the other
two sites. In these sites 74 – 93% of fields surpassed
the damage benchmark of 15% damaged leaves, with
only 31 – 33% of fields in Calauan and Guimba,
underscoring significant site variation in pest density.
Collectively the thresholds seemed conservative
when measured against the damage benchmark
(column 2) (58%), but not when the yield loss bench-
mark (4250 kg/ha) is added (column 3) (28%).
Note that both the damage and yield loss bench-
marks need to be satisfied for a ‘correct’ decision
score. Following these criteria, most of the correct
decisions made were ‘correct not to treat’ decisions
(51%) (column 4), while ‘correct to treat’ decisions
averaged 20% over all sites and crops (column 5)
giving a total of 72% correct decisions. Incorrect
decisions totaling 29% were divided into two error
types: (1) ‘should have treated’ (12%) and (2) ‘should
not have treated’ (17%) based on benchmarks.
Both Zaragoza and Koronadal, the two sites with
the highest damage incidence, had the highest
‘correct to treat’ (27 – 30%) and lowest ‘correct not
to treat’ (30%) decisions and vice versa for the two
low incidence sites. The breakdown of ‘incorrect’
decisions showed fields in both sites errored more in
both error types, due to inappropriate thresholds.
Guimba and Calauan, with the fewest 4AT
decisions, had the lowest rates of incorrect decisions.
Most (76%) of the ‘should not have treated’
decisions had sufficient pest pressure but yield loss
was less than the benchmark level. Likewise of the
erroneous ‘should not have treated’ decisions, most
(56%) met the damage benchmark but not yield loss.
Overall yield gain for threshold treatments averaged
176 kg/ha over the untreated control (column 9),
highly significant for all sites, despite differences in
pest pressure.
Three-quarters of the fields tested thresholds
based on the eggs/hill character with the balance
going to damaged leaves. Comparing individual
characters in the lower half of Table III, 0.5E-pk,
15%DL, NF15%DL, and NF30%DL (see Table III
for explanation of abbreviations) had the highest
4AT rates (64 – 87%). It is important that threshold
characters have accurate predictability for both types
of correct decisions ‘correct to treat’ and ‘correct not
to treat’. Some thresholds were tested when damage
levels were consistently either high or low, thus
yielding biased results. For example, damage levels
over the five crops where NF2E and 1E-tc were
tested occurred under exceedingly low damage
incidence (4AT only occurred in 3 – 17% fields).
But NF15%DL and NF30%DL were tested in crops
with very high damage levels (4AT occurred in 85 –
98% of fields). A further bias was introduced as
characters with higher levels were more utilized in
low density sites and vice versa.
The development of ATs was an iterative process
during the field testing phase. When a new character
Table I. Comparison of whorl maggot and defoliator pest densities by season in four sites, Philippines.a
Damaged leaves (%)c
Site Seasonb
Crops
(no.)
Fields
(no.)
Whorl
maggot Defoliators
Zaragoza WS 12 72 20.4+ 2.2 a 11.0+2.4 a
DS 11 69 19.2+ 2.6 a 3.6+2.6 ab
Koronadal 1st 7 52 25.0+ 2.9 a 9.7+2.8 a
2nd 8 57 19.5+ 2.7 a 6.0+2.6 ab
Guimba WS 7 44 7.4+ 2.9 b 7.5+2.8 ab
DS 6 44 11.5+ 3.1 b 1.5 +3.0 b
Calauan WS 9 44 11.4+ 3.1 b 0.9+3.0 b
DS 8 37 5.8+ 2.7 b 0.8+2.8 b
total 68 419
avg 15.0+ 1.1 5.1+1.0
P 50.0001 0.05
F 6.38 2.17
df 67 67
aIn a column, means+SEM followed by a common letter are not significantly different (P� 0.05) by LSD test. bWS, wet season; DS, dry
season. cNon-insecticide treated plots, mean of weekly sampling 2 – 5 weeks after transplanting per crop.
Evaluation of action thresholds for rice whorl maggot and defoliators 171
was developed most sites tested it over the same
range of levels (e.g., 1E and 2E), but based on
evaluation each season those levels were adjusted
lower (e.g., 0.5E and 1E) if yield loss occurred but
the AT was not reached, or higher (e.g., 2E and 3E)
if ATs surpassed thresholds but no yield loss
occurred. Normally the lowest AT levels performed
better in the sites with highest incidence. It can be
Table II. Regression correlations between rice planting date and whorl maggot and defoliator damage in four sites, Philippines.a
Site Pest damage Linear regression
Zaragoza Whorl maggot (damaged leaves) y¼18.1 þ 4.6 x, r¼ 0.376, P�0.0001, df¼ 106
Defoliators (damaged leaves) y¼0.3 þ 2.3 x, r¼ 0.219, P¼0.03, df¼95
Koronadal Whorl maggot (damaged leaves) y¼15.2 þ 0.09 x, r¼ 0.541, P�0.0001, df¼ 62
Defoliators (damaged leaves) y¼73.9 þ 4.3 x, r¼0.424, P¼0.0005, df¼63
Guimba Whorl maggot (damaged leaves) ns, df¼67
Defoliators (damaged leaves) ns, df¼67
Calauan Whorl maggot (damaged leaves) ns, df¼65
Defoliators (damaged leaves) ns, df¼33
aPest damage is the dependent variable (y) measured weekly, planting date is the independent variable (x) based on the number of elapsed
days after the first planted field, level of significance (P� 0.05).
Figure 1. Damage patterns in the rice vegetative stage by (a) whorl maggot and (b) defoliators in four locations, Philippines.
172 J. A. Litsinger et al.
Tab
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d(%
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ecis
ion
s(%
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Just
ified
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td
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ion
Inco
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td
ecis
ion
Cro
ps
Fie
lds
Pes
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rom
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no
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no
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Rat
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(6)þ
(7)
Yie
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n
(AT
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(no
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�A
Td
amag
ea,b
þyi
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loss
a,c
trea
tto
trea
tT
ota
ltr
eate
dtr
eate
d(5
)kg/h
aP
df
Sit
e(1
)(2
)(3
)(4
)(5
)(4þ
5)
(6)
(7)
(8)
(9)
Zar
ago
za2
21
41
57
.2+
5.9
a7
4.1
+4
.5b
33
.6+
4.9
a2
9.8+
4.8
b2
7.4
+4
.3ab
57
.1+
4.4
b1
1.1
+2
.9ab
31
.8+
4.1
c1
80+
38
50
.000
12
50
Ko
ron
adal
16
10
95
4.6+
5.9
a9
3.1
+5
.1a
42
.9+
5.7
a2
9.6+
5.4
b3
0.3
+4
.8a
59
.9+
4.0
b2
2.6
+3
.3b
17
.6+
4.6
bc
20
4+
46
50
.000
12
38
Gu
imb
a1
58
82
4.4+
6.9
b3
3.0
+5
.1c
26
.3+
6.7
ab6
5.6+
5.7
a1
9.3
+5
.1b
84
.9+
4.7
a8
.8+
3.4
a6
.3+
4.9
a1
60+
39
50
.000
11
27
Cal
auan
13
81
23
.2+
6.7
b3
0.8
+5
.4c
10
.0+
6.6
b8
0.8+
5.4
a3
.1+
4.8
c8
4.0+
4.5
a5
.3+
3.3
a1
0.7+
4.6
ab1
60+
38
50
.000
11
71
av
g39.9
57.8
28.2
51.4
20.0
71.5
11.9
16.6
176
P5
0.0
00
15
0.0
00
10
.00
35
0.0
00
10
.00
01
50
.00
01
0.0
33
0.0
01
ns
F8
.90
37
.11
5.0
52
3.5
67
.36
10
.19
3.0
15
.62
0.4
7
df
13
71
37
13
71
37
13
71
37
13
71
37
13
0
Chara
cter
Lev
elS
am
pling
site
Abb
revia
tion
Eggs
0.5
Fie
ldit
self
0.5
E1
81
04
55
.5+
8.2
b6
9.5
+8
.4c
27
.9+
7.3
bc
41
.1+
7.8
c2
0.7
+6
.1b
61
.7+
6.5
b8
.2+
4.3
a3
0.2+
6.3
bc
1.9
26
8+
70
0.0
00
39
2
(no
./h
ill)
1F
ield
itse
lf1
E2
51
66
30
.9+
7.0
c4
5.7
+7
.2d
20
.1+
6.8
bc
62
.2+
6.6
ab1
3.0
+5
.2b
c7
5.1+
5.6
a9
.2+
3.7
a1
5.8+
5.3
ab1
.92
43+
51
50
.000
11
17
2–
4F
ield
itse
lf2
E1
06
72
0.0+
11
.1c
29
.7+
11
.3d
6.7+
9.2
d8
2.7+
10
.4a
6.7
+8
.2b
c8
9.4+
8.8
a6
.3+
5.8
a4
.6+
8.4
a1
.62
66+
76
0.0
01
42
0.5
Nei
gh
bo
rin
gN
F0
.5E
28
58
37
.9+
6.6
bc
65
.8+
6.7
c3
6.5+
10
.2ab
c4
2.0+
6.2
bc
14
.7+
4.9
bc
56
.7+
5.3
b1
7.9
+3
.4b
25
.8+
5.0
bc
3.0
63+
76
ns
42
1N
eigh
bo
rin
gN
F1
E2
01
35
20
.4+
7.8
c5
7.8
+7
.0c
19
.3+
8.8
bcd
56
.7+
8.1
ab6
.3+
2.4
bc
63
.0+
6.3
b2
2.8
+6
.1b
15
.0+
3.8
ab6
.01
24+
58
ns
10
5
2–
4N
eigh
bo
rin
gN
F2
E5
30
3.3+
10
.2c
30
.0+
7.3
d9
.7+
16
.8cd
74
.5+
9.5
a1
.1+
7.5
c8
0.0+
8.0
a1
6.7
+5
.3b
2.8+
7.7
a1
7.7
17+
85
ns
30
0.5
(pea
k)
Fie
ldit
self
0.5
E-p
k5
30
82
.6+
15
.7a
75
.4+
16
.0ab
c4
9.3+
12
.9a
4.0+
14
.7d
58
.8+
11
.6a
62
.8+
12
.5ab
0+
8.2
a3
7.2+
11
.9c
0.6
25
9+
73
0.0
00
72
7
0.5
–2
(tra
pcr
op
)
Fie
ldit
self
1E
-tc
53
02
0.0+
15
.7c
17
.0+
16
.0d
0+
10
.7d
79
.8+
14
.7a
6.6
+1
1.6
bc
79
.9+
12
.5a
13
.6+
8.2
ab6
.6+
11
.9a
3.1
12
9+
92
ns
29
Dam
aged
10
–1
5F
ield
itse
lf1
5%
DL
62
97
9.2+
14
.3ab
46
.0+
14
.6cd
45
.8+
14
.5ab
26
.0+
13
.4cd
30
.5+
10
.6ab
56
.5+
11
.4b
0+
7.5
a4
3.5+
10
.9c
1.4
29
1+
11
40
.02
18
leav
es(%
)2
0–
30
Fie
ldit
self
30
%D
L1
15
73
7.4+
10
.6b
c6
7.0
+1
0.8
bc
39
.2+
11
.0ab
39
.8+
9.9
c2
3.6
+7
.8b
63
.5+
8.4
ab2
2.7
+5
.5b
13
.8+
8.0
ab1
.52
73+
13
60
.05
27
10
–1
5N
eigh
bo
rin
gN
F1
5%
DL
10
62
86
.7+
15
.7a
98
.3+
11
.3a
52
.7+
9.2
a1
3.3+
10
.4cd
52
.8+
8.2
a6
6.1+
8.8
ab0+
5.8
a3
4.1+
8.4
bc
0.6
14+
99
ns
38
20
–3
0N
eigh
bo
rin
gN
F3
0%
DL
85
56
3.9+
12
.4ab
85
.0+
12
.7ab
49
.1+
13
.0a
23
.3+
11
.6cd
47
.6+
9.2
a7
0.9+
9.8
ab3
.3+
8.2
a2
6.1+
9.4
bc
0.6
67+
10
3n
s3
9
P5
0.0
00
15
0.0
00
10
.01
05
0.0
00
15
0.0
00
10
.01
10
.01
60
.010
ns
F6
.57
3.9
62
.43
5.7
95
.23
2.8
52
.30
2.4
41
.17
df
13
71
37
13
71
37
13
71
37
13
71
37
13
0
aA
T,ac
tio
nth
resh
old
.C
olu
mn
s4þ
5þ
6þ
7¼
10
0%
.W
ith
ina
sect
ion
,w
ith
ina
colu
mn
,m
ean
s+
SE
Mfo
llo
wed
by
aco
mm
on
lett
erar
en
ot
sign
ifica
ntl
yd
iffe
ren
t(P�
0.0
5)
by
LS
Dte
st.
bS
tan
dar
db
ench
mar
k
of
15
%d
amag
edle
aves
.cS
tan
dar
db
ench
mar
ko
f2
50
kg/h
ayi
eld
loss
inve
get
ativ
est
age.
dY
ield
com
par
iso
nb
yp
aire
dt-
test
(P�
0.0
5).
Evaluation of action thresholds for rice whorl maggot and defoliators 173
seen that the lower threshold levels, as expected, had
higher 4AT frequencies. Thus, the ranges from two
characters—0.5E to 2E and NF0.5E to NF2E—each
show decreasing rates of justification based on dam-
age with higher threshold levels.
The criteria of the best characters should be those
that have the greatest justification rates comparing
the values in column 1 with those of columns 2
and 3. If column 2 were higher than column 1, there
should be a high rate of incorrect ‘should have
treated’ decisions (e.g., NF1E, 15%DL). Vice versa
if column 2 were lower than column 1, there should
be a high rate of ‘should not have treated’ error (e.g.,
0.5E-pk). Those characters with the greatest similar-
ity (+5%) between frequencies of column 1 and
column 3 levels were NF0.5E, NF1E, NF2E, and
30%DL (Table III).
Characters that resulted in the most correct
responses (475% of occasions) were 1E and 2E,
NF2E, and 1E-tc. It is notable these characters relied
on egg densities rather than damaged leaves. The 2E
threshold had the highest rate of correct decisions
(89%) and achieved the lowest levels of both error
types. The thresholds NF0.5E, NF1E, NF2E
and 30%DL had the highest rates of the ‘should
have treated’ error. A wider array of characters—
0.5E, NF0.5E, 0.5E-pk, 15%DL, NF15%DL, and
NF30%DL—had the highest rates of the ‘should
not have treated’ error. NF0.5E had high rates of
both error types. This can occur when tested in
both high and low pest density sites. Those charac-
ters with the best ratios (values51) of error types to
‘correct to treat’ decisions (column 8) were 0.5E-pk,
NF15%DL, and NF30%DL which meant that more
correct decisions than errors were made. This is a
measure of a character in which performance was
based on more correct positive decisions than those
that resulted in mostly correct negative decisions.
There were no significant differences among
the characters in yield gain over the untreated
(Table III). But 0.5E, 1E, 2E, 0.5E-pk, 15%DL,
and 30%DL showed significant yield gains over the
untreated when analyzed individually. The characters
with the best scores for the five criteria were 1E and
2E which did well in all categories except having poor
ratios. No other character had passing scores on
more than two of the five criteria.
3.3.2. Insecticide response. Overall the insecticide
response was poor. None of the twelve insecticide
regimes tested against whorl maggot met the
standard of 80% control (80% fewer damaged leaves
compared to the untreated) (Table IV). Highest
efficacy (45% control) occurred with isofenphos as a
seedling root soak (at 3 weeks after treatment [WT]),
whereas carbosulfan as a root soak showed signs of
phytotoxicity and performed poorly. The two gran-
ules, carbofuran and diazinon, were poor performers
when soil incorporated or broadcast, although
carbofuran resulted in high yield gain. None of the
four foliar spray materials applied as a single
application between 7 and 28 d.a.t. performed well,
although triazophos and azinphos-ethyl were the best
(25 – 28% control). Deltamethrin as a single foliar
application performed sub par and resulted in lowest
yields despite lack of phytotoxicity symptoms.
Seedling root soak was superior during the first
3 weeks after treatment before performance declined.
Carbofuran, on the other hand, showed low initial
control, performing comparatively well only at
3 WT. Diazinon provided modest initial control
(1 WT) but efficacy declined steadily thereafter.
Double sprays based on damaged leaf thresholds
improved efficacy while single sprays performed
poorly from the onset, and greatly declined after
3 WT. Thresholds based on egg counts performed
Table IV. Insecticide efficacy in response to whorl maggot action thresholds.a
Insecticide
Application
method/timing
Dosage per
application
(kg a.i./ha)
Damaged leaves
3 WTb,c
(% control) Yield gain (kg/ha)b n
Monocrotophos One spray 7 – 28 d.a.t. 0.4 20.6+ 4.7 d 154+ 84 b 45
Two sprays 7 and 14 d.a.t. 0.4 25.1+ 5.1 c 264+ 94 a 38
Two sprays 2 and 9 d.a.t. 0.4 31.8+ 4.3 b 336+ 103 a 54
Azinphos-ethyl One spray 7 – 28 d.a.t. 0.4 24.5+ 4.5 c 159+ 94 b 49
Two sprays 2 and 9 d.a.t. 0.4 29.7+ 9.1 bc 341+ 187 a 12
Deltamethrin One spray 7 – 28 d.a.t. 0.012 721.6+ 10.0 e 7198+ 149 c 10
Two sprays 2 and 9 d.a.t. 0.012 36.7+ 8.2 b 171+ 160 b 15
Triazophos One spray 7 – 28 d.a.t. 0.4 28.2+ 6.7 bc 177+ 139 b 22
Diazinon Broadcast granules 14 d.a.t. 0.75 13.0+ 6.5 d 133+ 126 b 24
Carbofuran Soil incorporated granules 0.5 22.6+ 8.2 cd 414+ 160 a 15
Isofenphos Seedling root soak 0.5 45.4+ 4.8 a 233+ 94 ab 44
Carbosulfan Seedling root soak 0.5 17.0+ 11.9 d 7127+ 230 c 11
P 50.0001 50.0001
F 4.81 4.17
df 357 336
aWT, weeks after treatment, d.a.t., days after transplanting, mean+SEM. bIn a column, means followed by a common letter are not
significantly different (P� 0.05) by LSD test. cAverage of weekly sampling 1 – 4 WT.
174 J. A. Litsinger et al.
well initially but both single and double declined
similarly thereafter.
Only deltamethrin of the insecticides tested at low
dosages (0.5 kg a.i. carbofuran granules/ha, 0.75 a.i.
diazinon granules/ha, and sprays at 0.4 kg a.i./ha,
deltamethrin 12 g a.i./ha) attained 450% control
1 – 4 WT even though some spray materials were
applied twice. Incidental control of coterminous rice
pests (defoliators, leaffolders, and stemborers) ranged
from 23 to 40% depending on pest group (Table V).
The benefit in terms of both control and yield gain
of multiple and early spray application was illustrated
by monocrotophos where two sprays were superior
to one spray particularly when initiated earlier
(2 and 9 d.a.t. versus 7 and 14 d.a.t.) (Table IV).
Two azinphos-ethyl sprays also resulted in significant
yield gain over a single spray although efficacy was
insignificant. Surprisingly two sprays of deltamethrin
overcame the poor control and low yield that plagued
the single spray.
Early warning is necessary to take advantage of the
best performing insecticide regimes. Sampling eggs
rather than damaged leaves allows earlier warning
when monitoring the field itself. The best results
from egg monitoring came with 4-day intervals from
3 to 19 d.a.t. Decisions made after the 7 d.a.t.
sampling date are too late for the best insecticide
options. But if earlier-planted, neighboring fields are
monitored any character can be used. When the data
were pooled to contrast the field itself with neighbor-
ing fields over all insecticide regimes, greatest control
occurred from monitoring neighboring fields (35 –
42% control) whether egg or damaged leaf characters
were used (Table VI). Least control occurred when
monitoring the field itself with damaged leaves
(15%), while intermediate levels of control occurred
with egg monitoring in the field itself. There was no
significant yield difference, however, between the
four characters.
3.4. Defoliator thresholds
3.4.1. Decision threshold characters. Naranga and
Rivula defoliators thresholds were surpassed in only
12% of fields (Table VII). Among the four sites,
highest frequency of threshold responses occurred
in Zaragoza and Koronadal (18 – 19% of fields) with
an intermediate level in Guimba. Remarkably in
Calauan not one field was treated as a result of any of
the seven characters tested in 13 crops, nor in any of
the 81 fields monitored was the benchmark of
15% damaged leaves exceeded.
Over all sites, most decisions fell within ‘correct not
to treat’ (83% of fields), with Calauan scoring 100%
averaged over all threshold characters. Due to the low
populations, there were no differences between
thresholds among sites within the decision class
‘correct to treat’. The threshold incidence (column
1) matched well with the rate of damage levels
4benchmark (column 2) despite most characters
(65% of fields) being based on larval densities. All
sites averaged 480% correct decisions with Calauan
reaching 100% followed by Guimba with 90%. Most
of the thresholds errored in being aggressive (7% of
the time), mostly in Koronadal and Zaragoza. There
were no significant differences between sites in yield
gain from the threshold treatments but in all sites
there were significant gains over the untreated.
Decisions to treat were very high for NF10%DL
and NF30%DL while very low for the others. All the
characters responded well to pest density, as despite
wide variation among characters in reaching thresh-
olds, remarkably there were no differences among the
seven characters in making correct decisions, which
ranged from 81 to 100%. For example NF10%DL
exceeded the threshold on 100% of occasions while
30%DL and 2L only reached threshold levels in
4% of occasions each. The reason for the 100%
frequency with NF10%DL was that it was tested
during three crops of very high incidence, averaging
73% of fields surpassing the damage benchmark.
There were greater correlations with the bench-
marks between characters based on damaged leaves
than those based on larvae. Only 0.5 L, among the
larval characters, correlated with the damage þ yield
loss benchmark, while all those based on damaged
leaves did. There were no differences among char-
acters in correct decisions (85 – 90%). Also there
were no significant differences among characters
regarding frequency of both error types, but numeri-
cally there was a higher frequency of decisions that
errored from ‘should not have treated’ than ‘should
have treated’ errors. The ratios of both error types
to ‘correct to treat’ decisions were highly favorable
with NF10%DL (0.2) but only marginally with
NF25%DL (0.9).
There were also very large differences in yield loss
between characters that most likely reflected differ-
ences in infestation levels. However, there were no
significant differences in yield gain among the
Table V. Control of collateral vegetative stage pests by insecticides based on thresholds for whorl maggot and defoliators.
Control of nontarget pest (%)a
Target pest Whorl maggot n Defoliators n Leaffolders n Stemborers n
Whorl maggot 36.1+ 4.9 200 40.0+ 3.7 180 22.9+6.4 162
Defoliators 26.4+4.8 48 24.6+ 7.9 58 15.4+8.9 55
aDamaged leaves for whorl maggot, defoliators. Average of four sites, n¼number of fields, mean+SEM.
Evaluation of action thresholds for rice whorl maggot and defoliators 175
threshold characters. But when compared to the
untreated and not each other, significant yield gain
occurred with all characters that sampled the field
itself rather than neighboring fields. Overall the
characters with the best scores (four of the five
criteria) were 10%DL, NF10%DL, and NF25%DL.
Preference would go to NF10%DL based on its low
ratio score.
A case was made earlier to separate whorl maggot
and defoliator characters due to differences in
preferred control practices, but since a synergistic
relationship regarding their damage and yield loss has
since been detected (Litsinger 1993), there is cause
to re-examine this relationship. Abundance of both
pests was highly site dependent, although those sites
with high whorl maggot also had high defoliator
damage. Defoliators were too low in Calauan for a
relationship between the two pests to be detected. In
the other three sites, from 11 to 24% of fields had
both whorl maggot and defoliators surpassing thresh-
olds in the same fields (Table VIII). While only whorl
maggot exceeded thresholds in Zaragoza and
Koronadal in 74 – 75% of fields, in Guimba more
(23%) fields had only defoliators exceeding thresh-
olds. If a threshold of 15% damaged leaves from both
pests combined and 250 kg/ha yield loss benchmark
would have been established, 25% of fields in
Guimba and 10% in Zaragoza, would have exceeded
the threshold than with one pest alone.
3.4.2. Insecticide response. Monocrotophos per-
formed better as a double spray in preventing leaf
damage from defoliators (Table IX). Level of
control, measured both as damaged leaves and larval
mortality, was quite low overall, barely exceeding
50% with the best insecticide as a single spray.
Monocrotophos as a double spray achieved 490%
larval mortality 1 – 4 WT.
Over all characters tested, carbaryl provided equal
control to monocrotophos as a single spray against
larvae but was inferior on the basis of damaged
leaves. Deltamethrin provided over 90% larval
control 1 WT, but mortality quickly declined to nil
after 2 WT giving a low 15% residual mortality when
averaged 1 – 4 WT. There was no difference in yield
gain from any of the insecticides despite significant
differences in efficacy. Insecticides targeted against
defoliators resulted in 15 – 26% control on non-
target pests (Table V).
In contrast to whorl maggot there was no signi-
ficant advantage in terms of level of control among
threshold characters—percentage damaged leaves
or larvae per hill—whether monitored in the field
itself or a neighboring field (F¼ 1.23, df¼ 143,
P40.05).
4. Discussion
4.1. Crop age and seasonal damage patterns
ATs are most suitable for chronic pests that only
periodically rise above threshold levels in a given field
from initial subeconomic levels (Stern et al. 1959).
Studies on crop age showed that early crop monitor-
ing did not produce the desired results. In the
high pest density sites of Zaragoza and Koronadal,
ATs based on damaged leaves were often exceeded
by the first sampling date 2 WT while in the low pest
density sites of Guimba and Calauan there was no
rising pattern in damage from the first to last
sampling dates (Figure 1). The former case supports
monitoring earlier planted fields or use of the egg
character to be able to take advantage of the best
chemical control options while in the latter there was
no benefit from sampling beyond 2 WT, although
weekly monitoring is still advised throughout the
crop cycle.
There were also site differences with respect to
seasonal effects with the high pest density sites
showing significant pest build up from earlier to later
planted fields, while no build up occurred in the low
density sites (Table II). Thus, different monitoring
strategies and AT characters may be needed for high
and low pest density sites. Sites with higher pest
densities have characteristics of longer periods of rice
availability throughout the year, greater planting
asynchrony, and larger rice areas (Loevinsohn et al.
1988).
4.2. Whorl maggot thresholds
ATs need to be tailored to site pest density
characteristics with respect to matching monitoring
tools with chemical control methods, as the former
are not necessarily compatible with the latter. For
example, the best insecticide methods (root soak, soil
incorporation, and double sprayings) by definition
require a decision prior to or soon after transplanting.
The only characters that provide such a warning are
those based on eggs or by monitoring earlier planted
Table VI. Comparison of whorl maggot threshold characters and
monitoring sites on insecticide efficacy and yield.
Character
Sampling
site
Damaged
leavesa
1 – 4 WTb
(% control)
Yield
gain
(kg/ha) n
Damaged
leaves
Field itself 15.2+ 5.5 c 195+ 85 38
Neighbouring
field
34.7+ 3.4 a 245+ 52 102
Egg Field itself 21.2+ 3.2 b 202+ 50 111
Neighbouring
field
41.5+ 3.6 a 188+ 55 91
P 50.0001 ns
F 9.18 1.13
df 341 298
aIn a column, means+SEM followed by a common letter are
not significantly different (P� 0.05) by LSD test, mean+SEM.bAverage of weekly means 1 – 4 weeks after treatment (WT) across
four sites.
176 J. A. Litsinger et al.
Tab
leV
II.
Def
oliat
or
acti
on
thre
sho
ldan
alys
isb
ylo
cati
on
and
char
acte
rfr
om
fou
rsi
tes
ove
ra
13-y
ear
per
iod
,P
hilip
pin
es.
Fre
qu
ency
per
fiel
d(%
)aD
ecis
ion
s(%
)a
Just
ified
Co
rrec
td
ecis
ion
Inco
rrec
td
ecis
ion
Cro
ps
Fie
lds
Pes
tF
rom
Fro
m
dam
ageb
Co
rrec
t
no
tto
Co
rrec
t
Sh
ou
ld
hav
e
Sh
ou
ld
no
th
ave
Rat
io
(6)þ
(7)
Yie
ldgai
n(A
Tvs
un
trea
ted
)d
(no
.)(n
o.)
4th
resh
old
dam
agea
,bþ
yiel
dlo
ssa,c
trea
tto
trea
tT
ota
ltr
eate
dtr
eate
d(5
)kg/h
aP
df
Sit
e(1
)(2
)(3
)(4
)(5
)(4þ
5)
(6)
(7)
(8)
(9)
Zar
ago
za2
21
41
19
.0+
4.2
a2
1.0+
4.9
a9
.9+
3.3
a7
7.1+
4.8
b1
0.8+
3.0
87
.9+
3.1
bc
1.6+
1.8
10
.4+
2.8
ab2
08+
34
50
.000
12
29
Ko
ron
adal
16
10
91
7.9+
4.8
a1
9.4+
5.6
a8
.1+
4.4
a7
4.9+
5.5
b5
.9+
3.4
80
.8+
3.6
c5
.1+
2.1
14
.2+
3.2
b2
14+
59
0.0
00
41
65
Gu
imb
a1
58
81
2.8+
5.2
ab2
1.8+
6.0
a1
6.3
+4
.2a
78
.2+
5.5
b1
1.5+
3.7
89
.7+
3.9
ab6
.7+
2.2
3.5
+3
.4a
17
1+
42
50
.000
11
15
Cal
auan
13
81
0+
4.7
b0+
5.4
b0+
4.2
b1
00+
5.3
a0+
3.3
10
0+
3.5
a0+
2.2
0+
3.1
a1
79+
46
0.0
00
21
39
av
g12.4
15.6
8.6
82.5
7.1
89.6
3.4
7.0
193
P0
.02
0.0
10
.05
0.0
03
ns
0.0
02
ns
0.0
06
ns
F3
.58
3.7
02
.60
4.8
22
.53
5.1
12
.21
4.3
00
.71
df
12
61
26
12
61
26
12
61
26
12
61
26
11
0
Chara
cter
Lev
elS
am
pling
site
Abb
revia
tion
Lar
va0
.5F
ield
itse
lf0
.5L
19
12
31
3.2+
5.0
bc
9.6+
7.3
c2
.3+
2.9
c8
1.5+
6.6
a2
.9+
2.7
c8
4.5+
5.5
0+
2.2
15
.5+
5.2
5.3
16
7+
53
0.0
02
13
6
(no
./h
ill)
1F
ield
itse
lf1
L3
82
38
7.1+
3.5
c1
1.4+
5.2
c1
.6+
2.1
c8
8.6+
4.7
a2
.3+
1.9
c9
0.0+
3.9
3.0+
1.6
6.1
+3
.74
.01
79+
41
50
.000
12
00
2–
4F
ield
itse
lf2
L2
01
21
4.5+
4.9
c9
.8+
7.2
c3
.2+
2.9
c8
5.1+
6.5
a1
.3+
2.6
c8
6.4+
5.4
1.3+
2.1
12
.4+
5.1
10
.52
82+
55
50
.000
18
1
Dam
aged
10
%F
ield
itse
lf1
0%
DL
16
94
21
.4+
5.4
b3
2.2+
8.0
b1
3.5
+3
.2b
74
.7+
7.2
a1
2.2+
3.0
b8
6.9+
6.0
2.3+
2.4
10
.7+
5.7
1.1
17
4+
55
0.0
02
81
leav
es(%
)2
0–
30
%F
ield
itse
lf2
5%
DL
17
10
04
.4+
5.3
c2
2.7+
7.8
bc
2.6+
3.1
c8
6.1+
7.0
a2
.5+
2.9
c8
8.9+
5.9
5.1+
2.3
6.2
+5
.54
.51
53+
57
0.0
18
9
10
%N
eigh
bo
rin
gN
F1
0%
DL
31
61
00+
12
.5a
73
.3+
18
.5a
65
.0+
7.5
a3
3.3+
16
.7b
53
.3+
6.8
a8
6.7+
13
.90+
5.5
13
.3+
13
.10
.21
14+
89
ns
45
20
–3
0%
Nei
gh
bo
rin
gN
F2
5%
DL
31
67
1.0+
12
.5a
58
.1+
18
.5a
20
.0+
7.5
b6
1.9+
16
.7ab
20
.0+
6.8
b8
6.7+
13
.94
.8+
5.5
13
.3+
13
.10
.96
6+
10
3n
s3
9
P5
0.0
00
10
.003
50
.000
10
.04
55
0.0
00
1n
sn
sn
sn
s
F1
3.6
23
.57
13
.29
2.2
31
0.9
82
.23
0.5
60
.51
1.3
2
df
11
51
15
11
51
15
11
51
15
11
51
15
10
9
aA
T,
acti
on
thre
sho
ld.
Su
mco
lum
ns
4þ
5þ
6þ
7¼
10
0%
.W
ith
ina
sect
ion
,w
ith
ina
colu
mn
,m
ean
s+
SE
Mfo
llo
wed
by
aco
mm
on
lett
erar
en
ot
sign
ifica
ntl
yd
iffe
ren
t(P�
0.0
5)
by
LS
Dte
st.
bS
tan
dar
d
ben
chm
ark
of
15
%d
amag
edle
aves
.cS
tan
dar
db
ench
mar
ko
f2
50
kg/h
ayi
eld
loss
inve
get
ativ
est
age.
dY
ield
com
par
iso
nb
yp
aire
dt-
test
(P�
0.0
5).
Evaluation of action thresholds for rice whorl maggot and defoliators 177
fields. Monitoring earlier planted fields did not
produce good results in low pest density sites. The
best performing characters 1E and 2E are limited in
terms of utilization with the best insecticide control
as there is only a narrow window during the first two
monitoring periods for eggs (3 and 7 d.a.t.) as
insecticide efficacy is best as two foliar sprays applied
within the first week after transplanting.
Examining the insecticide regimes when the 1E
and 2E characters were used revealed they were
predominantly single sprays 5 – 15 d.a.t. or double
sprays beginning 5 – 7 d.a.t. triggered just after one or
two samplings 3 and 7 d.a.t. Single sprays performed
poorly but were rarely applied, as most outcomes
(83% of occasions) were ‘correct not to treat’
decisions.
The best performing spray materials acted by
contact against adults alighting on the treated crop
and against larvae immediately after hatch before
entering tillers and also were ovicidal (Pantua and
Litsinger 1987). Monocrotophos is noted to have
translaminar systemic activity but is not sufficient to
reach larvae feeding at the base of tillers. Carbofuran
is highly systemic, but because it binds readily with
soil (Siddaramappa et al. 1978), is not effective at
economically acceptable dosages as a paddy water
broadcast. Soil incorporation increases dosages that
reach the root zone and reduces loss to achieve
greater residual activity (Seiber et al. 1978). Diazinon
has only pseudo-systemic activity (Pathak 1966), but
even if applied at high dosages (41.5 kg a.i./ha)
requires deeper ponding than most rice farms can
manage in order to effect capillary action (Bandong
and Litsinger 1979).
The most effective and economical insecticide
treatment was the single-application seedling root
soak, but its use requires a pre-planting decision.
Most farmers opt for the cheaper sprays. Double
spray application is the next most effective method
but doubles the cost, and best results occurred with
early application and higher doses. The high yield
gain from carbofuran was probably due to phytotonic
effects (Venugopal and Litsinger 1984).
The best early warning came from monitoring
earlier planted fields (eggs or damaged leaves) which
resulted in more effective chemical control methods
than were possible from monitoring the field itself
(Table VI). Overall egg characters utilizing earlier
planted fields did not perform as well as the NF-DL
characters. The NF character associated with the
most correct decisions was NF2E, which, however,
was highly conservative with only a rate of 1%
‘correct decisions to treat’ along with a surprisingly
high 17% ‘should have treated’ rate. More ‘correct
decisions to treat’ occurred from lowering the level to
NF1E and NF0.5E, but in doing so both error types
also increased. But NF15%DL and NF30%DL had
the highest frequencies of ‘correct to treat’ decisions
along with favorable 0.6 ratios. Both NF15%DL and
NF30%DL performed equally well, with the only
detraction of not being correlated with yield. The
NF%DL character, tested over a range from 10 to
30% damaged leaves, is suggested for Zaragoza and
Koronadal where seasonal effects were significant.
Perhaps farmers can fine tune the percentage dam-
aged leaves with experience.
The best performing characters 1E and 2E should
be confined to low density sites. Which character and
control method will be optimal will be the result of
other considerations: (1) ability to afford the more
costly insecticide regimes, e.g., two spray applica-
tions or granules versus a single or lower dosage
application, (2) keenness of sight to monitor whorl
maggot eggs (a problem with the majority of
older farmers), and (3) willingness to adopt new
and more elaborate technologies such as trap crop
monitoring and seedling root soak method. A
number of these constraints could be overcome if
farmers made decisions in groups, thus those with
poorer eyesight could have younger farmers in-
spect the crop (Matteson 2000). More difficult-to-
learn practices could be reinforced by the benefits of
group learning. Some farmers may be hesitant to
perform a corrective action before damage is seen
and thus would be hesitant to adopt early warning
monitoring.
Monitoring damaged leaves would be preferred
by many farmers over eggs as it does not require
keen eyesight, and with experience assessing
damaged leaves can be learned by ‘gestalt’ patterns
Table VIII. Frequency of whorl maggot and defoliators surpassing thresholds alone or combined.
Frequency 4AT per field (%)a
Site Whorl maggot alone
Defoliators
alone Both Only when damage combined
Zaragoza 74.9+6.0 a 3.5+3.7 b 11.2+ 4.9 10.4+3.7b
Guimba 34.0+7.5 b 23.3+4.6 a 18.2+ 6.1 24.5+4.6a
Koronadal 74.3+7.2 a 1.3+4.5 b 24.3+ 5.9 0+4.6b
P 50.0001 0.001 ns 0.001
F 10.66 7.32 1.49 7.28
df 86 86 86 86
aAT¼ action threshold of 15% damaged leavesþ 250 kg/ha yield loss benchmarks met. In a column, means+SEM followed by a
common letter are not significantly different (P� 0.05) by LSD test.
178 J. A. Litsinger et al.
(Bandong et al. 2002). Most weekly monitoring in
practice can be quickly assessed and the tedious
number based monitoring could be left to only those
cases where there is doubt.
In Table III it was noted that even if columns 1
and 2 were highly similar, it does not signify that
column 3 will follow suit as those fields with high
damage may not be the same fields showing high
yield loss. This variance is evidence of the problem
of obtaining reliable damage functions with rice
(Litsinger et al. 2005). In addition damage may not
necessarily correlate with yield loss as more than one
pest may occur at damaging levels in each crop. Thus
yield loss may be high but whorl maggot damage low
as loss may be attributed to other pests or interac-
tions with other crop stresses.
4.3. Defoliators
The best performing characters for defolia-
tors were 10%DL, NF10%DL, and NF25%DL,
although the results should be viewed with caution as
the three main characters—(1) larvae per hill, (2)
percentage damaged leaves in the field itself, and (3)
percentage damaged leaves in neighboring fields—
were tested under different infestation levels by
chance. 0.5L, 1L, and 2L were tested under very
low damage levels while 10%DL and 30%DL were
tested under intermediate levels, with NF10%DL
and NF30% DL under very high levels (column 2
Table VII). Therefore, until each character is tested
in both high and low infestation levels, the results are
to be viewed as preliminary. In addition there was
no differentiation between characters in the cate-
gories of total correct decisions or both error types.
In Zaragoza and Guimba, combining damaged leaves
with whorl maggot may have merit. The lack of
correlation with planting date in low pest density sites
and lack of significant yield gain among the NF
characters are negative reasons regarding combining.
The 0.2 ratio (incorrect to treat:correct to treat) in
the NF10%DL treatment is more convincing and is
the suggested choice in the high density sites with
10%DL in the low density sites.
Monocrotophos was the best performing insecti-
cide but the less hazardous carbaryl is suggested as it
performed as well against larvae. A double spray
doubles cost making it less attractive and as there was
no significant yield gain despite significant increase
in degree of control, a single spray appears adequate.
Acknowledgements
We are highly appreciative of the generous coopera-
tion provided by over 400 farmers in the study sites.
Their willingness to become experimenters with the
research teams and devote at times a tenth of their
rice lands to trials is a testament to their desire to
seek improvements in rice production technology.
Many locally hired project staff were responsible for
Tab
leIX
.C
hem
ical
con
tro
lef
fica
cyo
fm
ater
ials
and
spra
yfr
equ
enci
esag
ain
std
efo
liat
ors
inre
spo
nse
toac
tio
nth
resh
old
s.
Co
ntr
ol
(%)a
Do
sage/
app
lica
tio
n
(kg
a.i.
/ha)
Dam
aged
leav
esL
arva
e
Inse
ctic
ide
Ap
plica
tio
ns
(no
.)3
WT
1–
4W
T3
WT
1–
4W
TY
ield
gai
n(k
g/h
a)a
n
Mo
no
cro
top
ho
s2
b0
.47
3.4+
13
.1a
68
.2+
7.6
a1
00+
18
.4a
94
.3+
15
.2a
31
5+
68
43
10
.45
1.8+
5.4
b4
3.5+
3.6
b5
0.1+
13
.7b
45
.9+
17
.4b
20
8+
57
57
Car
bar
yl1
0.0
52
5.5+
10
.1c
30
.0+
6.9
c5
1.8+
13
.2b
48
.0+
13
.9b
28
4+
10
82
8
Del
tam
eth
rin
10
.01
27
30
.4+
16
.3d
71
5.4+
11
.1d
71
3.7+
14
.8c
15
.1+
17
.4c
21
1+
17
22
1
P5
0.0
00
15
0.0
00
10
.03
0.0
05
ns
F8
.60
12
.08
2.1
74
.83
1.3
5
df
14
11
43
62
62
14
2
aIn
aco
lum
n,
mea
ns+
SE
Mfo
llo
wed
by
aco
mm
on
lett
erar
en
ot
sign
ifica
ntl
y(P�
0.0
5)
dif
fere
nt
by
LS
Dte
st;
WT
,w
eeks
afte
rtr
eatm
ent.
bS
eco
nd
app
lica
tio
n7
day
saf
ter
the
firs
t.
Evaluation of action thresholds for rice whorl maggot and defoliators 179
conducting the trials and their invaluable contribu-
tions are acknowledged. Those assisting in Zaragoza
were Catalino Andrion and Rodolfo Gabriel, in
Guimba George Romero, in Calauan Mariano
Leron, Eduardo Micosa, and Carlos de Castro, and
in Koronadal Hector Corpuz, Joseph Siazon, Beatriz
Velasco, and Anita Labarinto. Cooperation of the
staff in the Central Luzon and Mindanao regions of
the Philippine Department of Agriculture is highly
appreciated.
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