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Bill colour and correlates of male quality in
blackbirds: An analysis using canonical
ordination
Article in Behavioural Processes · March 2004
DOI: 10.1016/j.beproc.2003.08.003 · Source: PubMed
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Behavioural Processes 65 (2004) 123–132
Bill colour and correlates of male quality in blackbirds:
an analysis using canonical ordination
A. Bright a,1 , J.R. Waas a,∗ , C.M. King a , P.D. Cuming b
a
Department of Biological Sciences, University of Waikato, Private Bag 3105, Hamilton, New Zealand
b 67 School Road, Whatawhata, R. D. 9, Hamilton, New Zealand
Received 15 October 2002; received in revised form 25 April 2003; accepted 4 August 2003
Abstract
Carotenoid-dependent plumage displays are widely assumed to be honest indicators of individual health or quality, which are
used as cues during mate choice and/or agonistic signalling. Despite the fact that red, yellow and orange pigmentation of bills is
common, and also variable between individuals, comparatively little is known about bill colouration as a condition-dependent
trait. Furthermore, many studies of avian colouration are confounded by the lack of objective colour quantification and the use
of overly simplistic univariate techniques for analysis of the relationship between the condition-dependent trait and individual
quality variables. In this study, we correlated male blackbird bill colour (a likely carotenoid-dependent sexually selected trait)
with body/condition variables that reflect male quality. We measured bill colour using photometric techniques, thus ensuring
objectivity. The data were analysed using the multivariate statistical techniques of canonical ordination. Analyses based on
reflectance spectra of male blackbird bill samples and colour components (i.e. hue, chroma and brightness) derived from the
reflectance spectra were very similar. Analysing the entire reflectance spectra of blackbird bill samples with Redundancy Analysis
(RDA) allowed examination of individual wavelengths and their specific associations with the body/condition variables. However,
hue, chroma and brightness values also provided useful information to explain colour variation, and the two approaches may
be complimentary. We did not find any significant associations between male blackbird bill colour and percent incidence of
ectoparasites or cloaca size. However, both the colour component and full spectral analyses showed that culmen length explained
a significant amount of variation in male blackbird bill colour. Culmen length was positively associated with greater reflectance
from the bill samples at longer wavelengths and a higher hue value (i.e. more orange-pigmented bills). Larger males may have
larger territories or be better at defending territories during male–male interactions, ensuring access to carotenoid food sources.
Future studies should elucidate the relationship between bill colour and behavioural measures such as aggressiveness, territory
size, song rate and nest attendance.
© 2003 Elsevier B.V. All rights reserved.
Keywords: Blackbird; Condition-dependent traits; Canonical ordination; Carotenoid colouration; Male quality; Turdus merula
1. Introduction
∗ Corresponding author. Tel.: +64-7-838-4286;
fax: +64-7-838-4324.
E-mail addresses: ashleighbright@hotmail.com (A. Bright),
j.waas@waikato.ac.nz (J.R. Waas), c.king@waikato.ac.nz
(C.M. King), paul.cuming@hcc.govt.nz (P.D. Cuming).
1 Present address: Department of Zoology, University of Oxford,
South Parks Road, Oxford OX1 3PS, UK.
Bright colouration of plumage and integumentary
structures is particularly common among male birds.
Red, yellow and orange colours, commonly produced
by carotenoid pigments (Fox and Vevers, 1960; Brush,
1978), dominate ornamental display. Carotenoids are
0376-6357/$ – see front matter © 2003 Elsevier B.V. All rights reserved.
doi:10.1016/j.beproc.2003.08.003
124
A. Bright et al. / Behavioural Processes 65 (2004) 123–132
also important physiological modulators and have a
range of health-related functions (e.g. free radical
scavengers, stimulants of the immune system, protective agents against cancer; Lozano, 1994; Olson
and Owens, 1998). Birds are incapable of synthesising carotenoids, so must obtain them from their
diet; they may then be modified for colour production once ingested (Goodwin, 1984). Several studies
have shown that foraging ability, physical condition
and parasite resistance are positively correlated with
the extent of carotenoid-dependent colouration of the
bearer (e.g. Hill, 1991, 1992; Hill and Montgomerie,
1994; Sundberg, 1995; Thompson et al., 1997; Zahn
and Rothstein, 1999). Carotenoid-dependent colour
displays are widely assumed to be honest indicators
of individual health or quality, which are used as cues
during mate choice (see review by Hill, 1999; Møller
et al., 2000) and/or agonistic signalling (Pryke et al.,
2001; Pryke and Andersson, 2003).
In the majority of studies investigating carotenoidcoloured, condition-dependent traits (see references
above), individual variation in plumage pigmentation
has been measured. However, red, yellow and orange
bill pigmentation is also very common, and variable
between individuals (e.g. Burley et al., 1992). Comparatively little is known about carotenoid-dependent bill
colouration (versus plumage colour) as a conditiondependent trait in birds. The type of conditiondependent trait may affect the information being
revealed, and consequently the predictions that can
be generated (Lozano, 1994). The physiological processes and metabolic costs associated with the production and colouration of bills and feathers will
vary. Furthermore, the outer layers of a bird’s bill are
continuously being replaced, while new feathers are
produced only during moult and are potentially constrained by the condition of the bird at that time (Negro
et al., 1998). The colour of bills may be a reflection
of more recent physiological events, and hence have
the potential to be an indicator of the current physical condition of the individual (Burley et al., 1992;
Lozano, 1994; Blount et al., 2003; Faivre et al., 2003).
In this study, we investigated correlations between
bill colour in the male blackbird, Turdus merula, and
body/condition variables that may reflect male attributes. The blackbird is an ideal subject with which
to examine the relationship between bill colour and
male quality variables. The male and female are
sexually dimorphic, defend territories and form a
long-term pair bond. The male’s yellow/orange bill
develops upon sexual maturity (Snow, 1958) and
varies from dull yellow to bright orange (Gurr, 1954;
Heather and Robertson, 1996). Recent evidence suggests that male blackbird bill colour honestly signals
male health (Faivre et al., 2003) and can be reliably
used as a cue of individual quality (Faivre et al., 2001;
Hatchwell et al., 2001; Bright and Waas, 2002).
Many studies of avian colouration are confounded
by the lack of objective colour quantification (see
Endler, 1990; Bennett et al., 1994). Also, the majority of studies use univariate techniques for analysis of
the relationship between the condition-dependent trait
and individual quality variables. Univariate techniques
may be overly simplistic—by using multivariate techniques, it becomes possible to examine suites of variables and interactions between them. In this study, we
measured male blackbird bill colour with photometric
equipment, ensuring objectivity of colour quantification (Bennett et al., 1994). The data were then analysed
using the multivariate statistical techniques of canonical ordination, which, unlike univariate statistics, produced visual and statistical information on the relationships between bill colour and male quality variables.
2. Materials and methods
This study was conducted on the 80 ha campus of
The University of Waikato, Hamilton, New Zealand,
from September to December 1999 (the time of year,
in the Southern Hemisphere, when the majority of
blackbirds breed; Gurr, 1954). Observations and sampling sessions were conducted in woodland areas,
which surround the sports fields and faculty buildings. The woodland areas include a mixture of native
and exotic trees and shrubs of consistent density and
size throughout the campus. The light environment
for University of Waikato blackbirds is characteristic
of “woodland shade” (Endler, 1993). The population of blackbirds on campus was estimated at 200
birds. Altogether, 26 males were captured, banded
and monitored for the purposes of this study.
2.1. Body measurements
Measurements of the left tarsus, wing length, bill
depth and culmen length (to the nearest 0.01 mm)
A. Bright et al. / Behavioural Processes 65 (2004) 123–132
125
were taken from all blackbirds using dial calipers.
Cloacal protuberance measurements (diameter) were
taken at the base of the seminal protuberance (nearest 0.01 mm). Measurements were repeated three
times and averaged for each bird (measurements
varied by 0–1.00 mm). Diameter measurements of
the cloacal protuberance are closely correlated with
height (Birkhead et al., 1993) and were more easily
obtained than height measurements in this species.
Male passerines store sperm in a cloacal protuberance
during the breeding season (Wolfson, 1954). Extrapair paternity is common within broods of blackbird
populations (see Creighton, 2001), although extrapair copulations are rarely observed (Snow, 1958;
Birkhead et al., 1993). Males of species which experience more intense sperm competition (measured by
copulation frequency) should have relatively larger
sperm stores and larger protuberances than those
species where sperm competition is less intense
(Birkhead and Møller, 1992; Birkhead et al., 1993). A
similar relationship has also been observed between
individuals within a species (Kempenaers et al., 1999).
If colour or male quality and copulation rate are correlated (see review in Birkhead and Møller, 1998), we
might also expect a relationship between the intensity
of carotenoid-pigmented sexually selected traits and
cloacal protuberance size in male blackbirds.
On completion of morphometric measurements, the
left wing of each bird was extended and held up to ambient light for estimation of ectoparasite abundance.
The complete length of the primary feathers was exposed, primary coverts and under wing coverts being
moved gently aside if necessary. Each primary feather
was scored according to the percent of the feather infested by mite clusters (visible by eye) (derived from
Behnke et al., 1995, 1999). The primaries of corpses
were photographed under a scanning electron microscope (AgResearch, Wallaceville, New Zealand) and
feather mites of the genus Proctohyllodes were identified according to Atyeo and Braasch (1996). Finally,
the month that each bird was captured, banded, and
measured was recorded. Higher values were given to
later months (e.g. November = 11; December = 12).
were scraped off the outer surface with a scalpel. There
were no noticeable behavioural effects associated with
sampling subjects in this way (A. Bright, personal observations) and the majority of birds were observed
again around the campus in the following months.
Spectral curves derived from flakes were representative of those obtained from whole bills (based
on visual examinations of the actual spectra; A.
Bright, unpublished data). Spectral reflectance from
these flakes was measured using a Zeiss spectrometer (MMS-1 Carl Zeiss Corporation, Jena, Germany)
and a 10 W halogen lamp (LS1, Ocean Optics, FL)
by AB at HortResearch, Hamilton, New Zealand
within 2 months of collection. A fibre optic interactance probe (Ocean Optics) positioned at a 90◦
angle to the bill sample was used to direct the illumination and collect the light scattered by the small
samples. Measurements were taken at 15 ms integration time (309–700 nm) and expressed relative to a
white Teflon reflectance standard for all 26 adult male
blackbirds. This Teflon standard performs similarly
to the Spectralon 99% white reflection standard (Labsphere, Congleton) across all measured wavelengths
(A. McGlone, HortResearch, Hamilton, unpublished
data). Dark current and white standard reference measures were taken before every tenth sample in order
to minimise error associated with drift of the light
source and sensor. All bill samples were measured
twice and there was little variation between spectra.
Reflectance spectra were averaged from 20 scans and
recorded in 3.3 nm wavelength bands, which were
later reduced to 7 nm wavelength bands because of
software and memory limitations. The reflectance
curves were transformed (Standard Normal Variate)
to correct for geometric differences between samples,
caused by variation in probe and sample distance (i.e.
variation in the thickness of bill flakes). From the corrected spectral reflectance curves (309–700 nm), we
also computed hue (spectral positions of maximum
slope), chroma (ratio between maxima and minima
reflectance) and brightness (total reflectance).
2.2. Bill colour
The data were analysed using the multivariate statistical techniques of canonical ordination. Canonical
ordination is a combination of ordination and multiple regression, typically used by ecologists for relating
One or two small flakes (2 mm×2 mm) from the bill
(middle of the upper left mandible) of each adult male
2.3. Statistical analysis
126
A. Bright et al. / Behavioural Processes 65 (2004) 123–132
the species composition of communities to their environment. In ecology, ordination is applied to species
data, typically the abundance of a set of species. Variation in species data is then explained by environmental variables (for more information on this analysis see
ter Braak, 1986).
Our data were analysed using Redundancy Analysis (RDA). RDA, or least-squares reduced-rank
regression, is the canonical form of a Principal
Components Analysis. The results of RDA can be
displayed in an ordination diagram or biplot. This
species–environment biplot gives a display of approximate values of correlations between species and
environmental variables. The amount of the species
data explained by the environmental variables for each
ordination axis (a theoretical explanatory variable)
in the biplot is given by the eigen value (between 0
and 1); only axes 1 and 2 are used in the biplots (for
further information on constructing and interpreting
biplots see ter Braak, 1986; Jongman et al., 1987; ter
Braak and Šmilauer, 1998). Environmental variables
with long arrows are the most important in the analysis. The longer the arrow the more confident one
can be about the inferred correlation. The direction
of the arrow indicates the association between environmental variables and species data, and the arrow
can be extended on either side to form a line. Arrows
pointing in roughly the same direction indicate a
positive correlation between environmental variables
and species data; arrows at right angles indicate zero
correlation (ter Braak, 1986).
In this study, bill colour data replace the species information, and body/condition measurements of adult
male blackbirds the environmental variables.
Culmen length, cloaca size and percentage of ectoparasites were entered as body/condition variables in
the model. Culmen length was used to represent blackbird body size, as we found it to be the most repeatable
measurement and therefore more accurate and objective than tarsus length, wing length and bill depth.
Culmen length is representative of body size in blackbirds (Gurr, 1954), as in other species (Guglielmo and
Burns, 2001). Month of collection, tarsus length, wing
length and bill depth were however, classified as covariables (ter Braak and Šmilauer, 1998) (i.e. there
were no independent correlations of these variables
with the bill colour data). Including or excluding covariables in our analyses did not change which vari-
ables were most important in explaining bill colour
variation. Forward selection and Monte Carlo permutation tests (using 199 unrestricted permutations) were
performed to identify the body/condition variables that
were statistically significant in determining the variations in bill colour data. RDA and associated analyses
were performed using CANOCO v. 4.0 (ter Braak and
Šmilauer, 1998).
3. Results
3.1. Spectral reflectance curves
The spectral reflectance curves from bill samples at
15 ms integration time are shown in Fig. 1. There are
two regions of maximum reflectance, the first in the
Ultra Violet-A waveband (UVA; 309–350 nm) and a
second in the visible spectrum (550–700 nm).
The biplot based on RDA analysis of the spectral reflectance curves of bill samples with respect
to body/condition variables is shown in Fig. 2.
Solid arrows represent wavelength spectra and are
labelled with nm values; dashed arrows represent
body/condition variables. Longer wavelengths were
negatively associated with axis 1, and shorter wavelengths positively so. UVA wavelengths were positively associated with axis 2. Forward selection
and associated Monte Carlo permutation tests of the
significance of body/condition variables (Table 1)
Table 1
Results of forward selection and Monte Carlo permutation tests
from RDA on male blackbird bill sample spectral reflectance curves
and body/condition variables
Culmen length
Cloaca size
Percentage of
ectoparasites
Lambda-1
Lambda-A
P
F
0.13
0.02
0.02
0.13
0.01
0.02
0.05
0.45
0.48
4.15
0.58
0.50
The lambda-1 column lists the body/condition variables in order of
the variance they explained singly (i.e. when that particular variable
was used as the only body/condition variable). The variance was in
addition to the variance explained by covariables. The lambda-A
column lists the body/condition variables in order of their inclusion
in the model, together with the additional variance each variable
explains at the time it was included and, the significance of the
variable at that time (P value) together with its test statistic (F
value). Eigen values: axis 1 = 0.142; axis 2 = 0.010.
A. Bright et al. / Behavioural Processes 65 (2004) 123–132
127
2
Reflectance (SNV)
1
0
-1
-2
350
450
550
650
Wavelength (nm)
Fig. 1. Reflectance spectra from bill samples of 26 adult male blackbirds measured at 15 ms integration (309–700 nm). Reflectance spectra
were post-transformed by Standard Normal Variate.
showed that culmen length explained the largest proportion of the variability in bill colour (P = 0.05).
After addition of culmen length to the ordination, the
subsequent additions of cloaca size and percentage of
ectoparasites did not make significant contributions
(P ≥ 0.45) to explaining the additional variation in
bill colour data. Culmen length was strongly negatively associated with axis 1 and positively associated
with longer wavelength spectra; therefore larger birds
had more orange-pigmented bills than smaller birds.
3.2. Spectral reflectance hue, chroma and brightness
values
Three individual colour component values (i.e.
hue, chroma and brightness) were calculated from
the spectral reflectance curves of each bill sample
(309–700 nm) and analysed by RDA. In the resulting
biplot (Fig. 3), brightness and chroma were positively
associated with axis 1 and hue negatively associated. Forward selection and Monte Carlo permutation
tests of the significance of body/condition variables
(Table 2) show that culmen length explained the
largest proportion of the variability in bill colour
(P = 0.04). After addition of culmen length to the
ordination, the subsequent additions of cloaca size
and percentage of ectoparasites did not make significant contributions (P ≥ 0.41) to explaining the
additional variation in bill colour data. Culmen length
was negatively associated with axis 1 and positively
Table 2
Results of forward selection and Monte Carlo permutation tests
from RDA on male blackbird bill sample hue, chroma and brightness values derived from reflectance spectra and body/condition
variables
Culmen length
Cloaca size
Percentage of
ectoparasites
Lambda-1 Lambda-A P
F
0.15
0.03
0.00
4.96
0.68
Not calculated
0.15
0.02
Not calculated
0.04
0.41
Not calculated
The lambda-1 column lists the body/condition variables in order of
the variance they explained singly (i.e. when that particular variable
was used as the only body/condition variable). The variance was in
addition to the variance explained by covariables. The lambda-A
column lists the body/condition variables in order of their inclusion
in the model, together with the additional variance each variable
explains at the time it was included and, the significance of the
variable at that time (P value) together with its test statistic (F
value). Eigen values: axis 1 = 0.169; axis 2 = 0.00.
128
A. Bright et al. / Behavioural Processes 65 (2004) 123–132
+1
% ectoparasites
309-342 nm
culmen
axis 1
349-560 nm
cloaca
567-700 nm
-1
-1
+1
Fig. 2. RDA biplot of spectral reflectance curve values from bill samples of male blackbirds and body/condition variables. Solid arrows
represent spectral reflectance values. Dashed arrows represent body/condition variables.
related to bill sample hue. The relationships between
body/condition measurements and bill colour data in
Figs. 2 and 3 were very similar. Longer culmen length
was positively associated with higher hue values and
negatively associated with a lower brightness/chroma
value (i.e. more orange bills).
variables that may reflect male quality. We measured
bill colour using photometric techniques, ensuring
objectivity in colour quantification. The data were
analysed using the multivariate statistical techniques
of canonical ordination, which, unlike univariate statistical techniques, produced visual and statistical
information on the relationships between bill colour
and male quality variables.
4. Discussion
4.1. Reflectance spectra and colour quantification
Carotenoid-based plumage colouration is a condition-dependent trait in birds (see review by Hill,
1999). Comparatively little is known about carotenoiddependent, bill colouration (versus plumage colour)
as a condition-dependent trait. In this study, we correlated male blackbird bill colour (a likely carotenoiddependent, sexually selected trait) with body/condition
Because carotenoids reflect primarily in the visible
wavelengths (Goodwin, 1984), exclusion of the UV
waveband when quantifying carotenoid-dependent
plumage or integument pigmentation has not been perceived to be a major problem (Hill, 1998). However,
in this study, maximum reflectance from blackbird
A. Bright et al. / Behavioural Processes 65 (2004) 123–132
129
+1
% ectoparasites
culmen
axis 1
brightness
hue
chroma
cloaca
-1
-1
+1
Fig. 3. RDA biplot of hue, chroma and brightness from spectral reflectance curves of male blackbird bill samples and body/condition
variables. Solid arrows represent hue, chroma and brightness values. Dashed arrows represent body/condition variables.
bill samples was at 309–350 nm and at 500–600 nm,
although we did not find any association between the
maximum reflectance of blackbird bill samples in the
UV waveband and any of the body/condition variables
measured. The fact that a species’ plumage or integument reflects in the UV does not guarantee a role for
UV signalling (Cuthill et al., 2000; Hunt et al., 2001;
but see Hausmann et al., 2003). However, altering
UV reflection can influence hue perception at longer
wavelengths (Pearn et al., 2001) and we should always
be aware of the possible contribution of the UV waveband when investigating avian colouration regardless
of whether a signalling role is suspected or not.
Analyses based on reflectance spectra of male
blackbird bill samples and colour components derived
from the reflectance spectra were very similar (compare Figs. 2 and 3). Analysing the entire reflectance
spectra of blackbird bill samples with RDA allowed
examination of individual wavelengths and their associations with the body/condition variables (Fig. 2).
However, hue, chroma and brightness values are very
useful tools for explaining colour variation, and the
two approaches may be complementary.
4.2. Body/condition variables
There is evidence to suggest that bill colour in male
blackbirds may be correlated with male health/quality
(Faivre et al., 2003). Male blackbirds with orange bills
are heavier and tend to be mated to females in better
condition that make more breeding attempts per season
than females mated to males with yellow bills (Faivre
et al., 2001). Males with orange bills, also have fewer
blood parasites than yellow-billed males (Hatchwell
130
A. Bright et al. / Behavioural Processes 65 (2004) 123–132
et al., 2001). In this study, we did not find any
significant relationships between percentage feather
ectoparasites or cloaca size of male blackbirds and
bill colour. Proctopyhllodid feather mites feed on
waxes and fatty acids from the feathers (Walter and
Proctor, 1999). In some species, proctopyhllodid mites
are known to affect host condition (Thompson et al.,
1997; Harper, 1999); however, other studies have
shown the same mites to be commensal and possibly
mutualistic (Blanco et al., 1999, 2001). It is possible
that proctophyllodid feather mite abundance does not
negatively affect blackbird health and condition and
therefore does not have any influence on carotenoiddependent bill pigmentation. By contrast, haematozoan parasites may affect the ability of male blackbirds to accumulate and produce carotenoid pigments
to a larger extent than ectoparasites. Alternatively,
because correlational studies often fail to detect costs
of parasitism, experimental manipulations of parasite
load may be required to test for potential effects of
parasites, especially indirect effects such as energetic
costs (Booth et al., 1993; Figuerola et al., 2003).
Extra-pair paternity is common within broods of
blackbird populations (cited in Creighton, 2001) although extra-pair copulations are rarely observed
(Snow, 1958; Birkhead et al., 1993). Inter-specific
variation in cloacal protuberance dimensions reflects
variation in levels of sperm competition among species
(Birkhead et al., 1993); males that copulate frequently
have large cloacal protuberances to avoid sperm depletion. A similar correlation has been observed between
individuals within a species (Kempenaers et al., 1999).
However, cloacal protuberance dimensions have related to few morphological characteristics that might
indicate male quality or condition (Kempenaers et al.,
1999; Lombardo, 2001). We found no correlation
between bill colour and cloacal dimensions of blackbirds. Behavioural cues may be more important when
assessing relative male quality for extra-pair partners.
Culmen length was positively associated with more
reflectance at longer wavelengths and a higher hue
value (i.e. more orange-pigmented bills). Similarly,
Faivre et al. (2001) did not find any correlation between male blackbird bill colour and body condition,
although there was a positive relationship between bill
colour and body weight. Foraging success (number of
prey captured) is not influenced by size in blackbirds
(Desrochers, 1992) although larger birds may be better
at catching particular prey that are rich in carotenoids.
Larger males may also be more effective at defending territories during male–male interactions (Rohwer,
1982) ensuring access to carotenoid-rich food sources
(Endler, 1980; Hill, 1991); they may also be capable of
defending larger territories. Recent studies on blackbirds by Bright and Waas (2002) and Préault et al.
(2002) found no evidence of female preference for a
particular male bill colouration. There was, however,
evidence that bill colour plays a role in determining
the outcome of male–male interactions (Bright and
Waas, 2002; but see Préault et al., 2002). Behavioural
rather than (or as well as) morphological cues may
be more important for females when assessing relative male quality, particularly in a species such as
the blackbird, where males contribute significantly to
parental care of the offspring and females are dependent on the male for food provisioning during nesting
(Snow, 1958). During male–male interactions, colour
cues may be more important for quickly assessing the
competitive ability of territory residents and intruders
(Bright and Waas, 2002).
In conclusion, the only male quality variable we
measured that was positively correlated with bill
colour in blackbirds was culmen length. Larger males
may be better at defending territories during male–
male interactions and/or may defend larger territories,
ensuring access to plentiful food and carotenoids that
influence bill colour. It is possible that other male
attributes may be correlated with male blackbird bill
colour and reveal more information about individual
quality than the morphological measures taken in this
study. Future studies should consider the relationship
between bill colour and behavioural measures such
as aggressiveness, territory size, song rate and nest
attendance.
Acknowledgements
We are grateful to members of the Waikato Ornithological Society, Hugh Clifford, Bev Galloway
and Clinton Care, for providing mist-netting training,
equipment and expertise. D. Duganzich at AgResearch, Hamilton, I. Duggan, J. Green and C. Pilditch
at the University of Waikato provided advice on the
statistical analyses. We thank Paul Martinsen and
Andrew McGlone at HortResearch, Hamilton for the
A. Bright et al. / Behavioural Processes 65 (2004) 123–132
use of, and assistance with photometric equipment
and data and D. Bishop, AgResearch, Wallaceville
for identifying feather mites. Thanks to G. Reynolds,
K. Ayers, D. Taylor, S. Nakagawa, M. Miyazaki, C.
Loomb, R. Bolstad and I. Castro for practical assistance and valuable advice. J. Briskie, G. Hill, C.
Pilditch and J. Green and two anonymous referees
commented on earlier drafts of this manuscript. This
study was carried out with approval from the University of Waikato Animal Ethics Committee (Protocol
Numbers 406 and 430).
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