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Effects of selection for early and late reproduction in low
and high larval density populations of the bean weevil
(Acanthoscelides obtectus)
I Gliksman, N Tucić
To cite this version:
Original
article
Effects of selection for
early
and late
reproduction
in low
and
high
larval
density populations
of the bean weevil
(Acanthoscelides
obtectus)
I
Gliksman
N Tuci&jadnr;
University of Belgrade,
Institute
for Biological
Research andFaculty of Science,
Yugoslavia
(Received
25May
1990;accepted
30 November1990)
Summary - This
study
concerns ananalysis
ofone-generation
selection forearly
andlate
reproduction
inpopulations
maintained for 10generations
at low andhigh
levels of larvaldensity.
We have obtained direct responses to selection in both theearly
and latereproducing
parents. There was,however,
no correlation betweenfecundity
andlongevity.
Phenotypic
responses suggest thatparental
age couldchange
thefecundity
schedule inthe way
predicted by antagonistic pleiotropy theory.
However, the absence ofstatistically
detectablenegative
genetic
correlation betweenearly
and late fecundities made ourstudy
inconclusive
with respect topossible genetically
based trade-off amongfecundity
indices.Acanthoscelides obtectus
/
larval density/
parental age effect/
fitness componentsRésumé - Effets de la sélection pour une reproduction précoce et tardive dans
des populations de bruche du haricot
(Acanthoscelides obtectus)
à haute et faible densité larvaire. Cette étude concernel’analyse
d’unegénération
de sélection pour unereproduction précoce
ou tardive depopulations
maintenuespendant
10générations
à unedensité larvaire
faible
ou élevée. Nous avons obtenu desréponses
directes à lasélection,
chez les parents à
reproduction précoce
et àreproduction
tardive. Iln’y
avaitcependant
pas de corrélation entre lafécondité
et lalongévité.
Lesréponses phénotypiques suggèrent
quel’âge
des parentspourrait modifier
l’évolution de lafécondité
au cours de la vie comme leprédit
la théorie de lapléiotropie antagoniste. Cependant,
l’absence de corrélationnégative
statistiquement
détectable entre lesfécondités précoces
et tardives ne nous permet pas deconclure quant à des
oppositions
de naturegénétique
entre ces2 fécondités.
Acanthoscelides obtectus
/
densité larvaire/
âge des parents/
valeur adaptative*
INTRODUCTION
Since natural selection
operates
on several traitssimultaneously
theoptimal
lifehis-tory
has been seen as &dquo;the bestcompromise given
a set ofoptions&dquo;
(Sibly
andCalow,
1986).
Starting
from thispoint,
agreat
deal of thetheory
of lifehistory
evolution(see
egCharlesworth, 1980; Reznick, 1985;
Scheiner etal,
1989)
is based on theassumption
of &dquo;trade-offs&dquo; ornegative genetic
pleiotropy
among lifehistory
fitnesscomponents
(fitness
components
arelargely
synonymous with lifehistory
parame-ters;
see egIstock,
1983).
Forexample, according
to the best-knownevolutionary
theory
of senescence(Williams, 1957),
senescence isenvisaged
mostaccurately
as aby-product
of genes withpleiotropic
effects on the fitnesscomponents,
such that increasesearly
in the life span in one set of fitnesscomponents
areaccompanied
by
decreases in other fitness
components
later in life.Despite
the centralposition
ofantagonistic
pleiotropy
in lifehistory theory,
experimental
demonstrations ofgenetic
trade-offs were until veryrecently
almostabsent. Several recent studies
(eg
Rose andCharlesworth,
1981a, b;
Rose,
1984;
Luckinbill et
al, 1984;
Tucié etal,
1988)
haveprovided
evidence ofnegative genetic
correlations among traits atearly
and latestages
of lifehistory.
However,
Gieselet al
(1982),
Stearns(1983),
Mitchell-Olds(1986)
andEngstrom
et al(1989),
forexample,
found no evidence ofnegative genetic
correlations among fitnesscomponents.
Independently
of any mechanism ofgenetic
controlproposed,
the fundamentalquestion
of theevolutionary
theory
of senescence is &dquo;how dolong
and shortlife spans evolve?&dquo;
(Luckinbill
andClare,
1985).
Having
in mind thesuggestion
provided by
MacArthur and Wilson(1967)
thatdensity dependent
selection could beresponsible
for much of the observeddiversity
of lifehistory
strategies
amongtaxa,
Luckinbill and Clare(1985)
used 2experimental
treatments of larvaldensity
in a
long-term
selectionstudy
for increasedlongevity
ofDrosophila
melanogaster.
By
selecting
for latereproduction
when larvaldensity
was heldlow,
they
wereunable to detect a
significant
increase inlongevity.
However,
populations
withhigh
and uncontrolled numbers of thedeveloping
larvaeresponded
strongly
to selectionfor late
reproduction,
with thelongevity increasing
by
?
50%.
Thus Luckinbill andClare
demonstrated,
showing
that the larval environment could alter theexpression
of genes for adultlongevity,
existence ofgenetic
variation forsensitivity
of fitness todensity.
Service et al(1988)
have corroboratedthese
findings.
Indeed,
lowrearing
density
seems to reduce response to selection for increasedlongevity
inDrosophila
populations.
Motivated
by
these studies onDrosophila,
assurprisingly
littleexperimental
work on
genetic
variation for response toconspecific
density exists,
we conducted anexperiment
to examine thephenotypic
andgenetic
responses in bean weevil(Acanthoscelides obtectus)
lifehistory
traits that occur whendensity dependent
selection is
acting. Specifically,
in this paper wepresent
the results of astudy
ofone-generation
selection forearly
and latereproduction
inpopulations
maintainedMATERIALS AND METHODS
Life
history
of Acanthoscelides obtectusThe bean
weevil,
Acanthoscelides obtectus(Say),
is a well knownleguminous-feeding
beetle of the
family
Bruchidae(Coleoptera).
The femaleslay
eggs on the surface ofhost seeds. The eggs
hatch,
and the first instar larvae bore into the seed wherethey
feed. The final instar larvae excavate a chamberjust
below the seed testa, and the presence of a larva may be detectedby
a small &dquo;window&dquo;.Pupation
occurs in thischamber and adults must chew a hole
through
the testa in order to emerge. Larvalstages
feedentirely
within asingle
seed.Competition
among larvae in overcrowdedcircumstances can be severe; from a
single
bean seed(about
20 mmsized)
as many as 45 adults can emerge(personal observation).
The adults do notrequire
to feed inorder to mate and
oviposit.
This feature(non-feeding adults)
of the bean weevil lifehistory
isparticularly
attractive for theanalysis
ofgenetic
trade-offs since adults have a finite amount of resource that may be allocated betweenfecundity
andmaintenance.
The
population
used here was&dquo;synthetic&dquo;, originating
from different localpopulations
ofYugoslavia.
It was maintained in culture : 3 yrprior
to theseexperiments.
In allexperiments
Phaseolv,svulgaris
cv&dquo;gradistanac&dquo;
beans wereused. The size of all seeds used in the
present
experiment
was ! 20 mm. All thebeans were
brought
in bulk at one time from one source.Density dependent
selectionThe
following
summarizes the method of selection used to obtain the lowdensity,
high
density
and controlpopulations.
The low
density regime
wasdesigned
to be uncrowded for thedeveloping
larvae.At the start of this
treatment,
320 beetles were chosenrandomly
from the basepopulation
and reared in 10separate
bottles with 100 bean seeds(ie each
bottlecontained 32 weevils whose sex ratio has been determined
by
chance).
After! 3 wk these bottles were monitored
daily
until the first eclosion of adultsbegan
(the
eclosion isrecognized
by getting
&dquo;windows&dquo;black;
otherwise windows at the seed testa aregrey).
At that time beans with 1 to 3 windows(which
indicate low larvaldensity)
wereseparated.
Since theprobability
of larvae from same beanbeing
sibs ishigher
when the number of larvae per bean is small(which
could causeinbreeding
depression
overgenerations)
weemployed
thefollowing
procedure.
Beanswith low larval
density
from all 10 bottles werekept
together
in asingle
bottle. Theseeds with
higher
larvaldensity
were discarded. From thenewly emerged
adults(usually !
1000individuals),
in the batch of low larvaldensity
seeds wechose,
again randomly,
10 groups with 32beetles,
in order to establish a newgeneration.
This
procedure
wasrepeated
for 10generations.
A
high
density population
was maintained underhigh
larvaldensity.
Theprocedure
andpropagule
size(ie
32 beetles perbottle)
were as describedabove,
except
that newgenerations
were founded from beanscontaining
10-20(rarely
more).windows.
Thus,
theonly
difference between the 2 selectionregimes
was theIn the control treatment we did not control larval
density.
In all otheraspects
the
experimental procedures
were identical to those in theprevious
2 treatments.Analysis
of theparental
age effectsAfter 10
generations
200pairs
of beetles were chosenrandomly
from each treatment.Individual females were
put
into separate Petri dishescontaining
3 beans andan unrelated
male,
foroviposition.
These Petri dishes were checkeddaily. Upon
death of the
female,
her life span anddaily
fecundity
were recorded. In orderto demonstrate
parental
age effects in thepopulation
selected for different larvaldensity,
thefollowing
1-generation
artificial selection forage-specific
modification offecundity
wasimposed.
This selection
proceeded
by choosing
the females withhighest 3-day fecundity
record,
from 1-3 as the&dquo;young&dquo;
parents,
and from 7-10 as the &dquo;old&dquo;parents.
According
to ourprevious
results(Tuci6
etal,
1990)
these 2periods
are the mostconvenient for
analysing age-specific
pattern
ofreproduction
in thenon-feeding
bean weevils.Thus,
within thepopulation
selected for different larvaldensities,
theexperiments
weredesigned
to enforce anearly
versus lateage-specific
pattern
of
reproduction.
The best25%
of femaleslaying
were chosen.However,
for latereproduction
more intense selection wasimposed
(!
15%
of femaleslaying
werechosen as the
parents)
because of the lowfecundity
of the old females or someother reason.
Daily fecundity
was measured on 4newly emerged
adultfemales,
chosen atrandom from each selected
female,
in separate Petri dishes with 3 bean seeds anda male sib. The number of beetles which died was counted every
day. Upon
death of thefemale,
herlongevity
and differentfecundity
indices have been recorded. Wechose the
following
indices offecundity: egg-laying
d1-3,
egg-laying
d7-9,
egg-laying
d 10 or more; totalfecundity
(over
lifespan),
firstday
of egglaying,
lastday
of egg
laying,
age ofpeak
fecundity
andlaying
rate(total fecundity/last
day
of egglaying).
All cultures were maintained in an incubator at 30°C and !
70%
humidity.
Experimental
adults weresubjected
to starvation.Narrow sense
heritability
for each trait was estimatedby regression analysis
of meanoffspring
values and maternal values(Falconer, 1981).
Ingeneral,
it is desirable to regressoffspring
values of the maleparents,
because the estimated covariance between mother andoffspring
can be inflatedby
maternal effects.Unfortunately,
regression
on maleparent
isimpossible
here because weanalysed
age-specific fecundity
pattern
in females.Thus,
theconfounding
of maternal andgenetic
covariance in theparent-offspring
regression
is unavoidable. Inaddition,
broad senseheritability
was also calculatedusing
a least squaresanalysis
of variancemodel
(Sokal
andRohlf,
1981).
RESULTS
In table I the means and standard errors of different life
history
traits for eachdensity
selectedpopulation
in the firstgeneration
ofreproduction
at young orusing Tukey’s
test. Thehigh
larvaldensity
population
for bothparental
ages shows lower averagelongevity
relative to thecorresponding
parental
age in the lowdensity
groups, as well as in controlpopulations.
These differences aresignificant
at the 0.01 level in all but 1 case(low
density,
youngparents vs
high
density,
oldparents).
In allother cases the differences between average
longevities
areinsignificant.
In thehigh
larval
density population
allfecundity indices,
except
thefecundity
7-9days,
weresignificantly
different between theoffspring
of the young and oldparents.
However,
when the samecomparisons
are made within lowdensity
or controlpopulations,
thepicture
which emerges isquite
different. HereTukey’s
test has shown thatfecundity
indices of thedifferently aged
parents, except
for the firstday
oflaying
within thelow
density
population,
are notdetectably
different from each other(table I).
Allthe other
comparisons
show thatfecundity
indices of the youngparent
offspring
in the
high
density population
are mostfrequently statistically
different from the other treatment.It is worth
considering
the effect of larvaldensity
on thelongevity
andfecun-dity
irrespective
of theparental
age. Table II compares the means of these lifepopulations
with low andhigh
larval densities. The averagelongevity, fecundity
>
10d,
last d of egglaying,
age ofpeak
fecundity
andlaying
rate werehigher
inthe low
density population
than in thehigh
density population.
In all above casesthe differences between traits at low and
high density
weresignificant,
as shownby
the t-test. The observed pattern among life
history
traits,
for weevils selected fordifferent larval
density,
isquite opposite
to thatpredicted by
r- and K-selectionregimes
(see
Pianka,
1970).
An outcome such as we obtained isexpected
in modelsof life
history
in which the effects of variable environment arerelatively
greater
onmortality
ofjuveniles
than adults. Stearns(1976)
discusses thesepredictions
under theheading
of&dquo;bet-hedging&dquo;.
It seems from table I that
parental
age at the time ofreproduction
can alsoaffect the
analysed
traits. To test forsignificance
betweenearly
andlate-reproduced
parents,
taking simultaneously
into account the effects of larvaldensity,
a2-way
analysis
of variance was made(since
we had an unbalanced dataset,
we used themethod described in Steel and
Torrie,
1960).
The results of such ananalysis
ofvariance for
longevity
and differentfecundity
indices arepresented
in table III. In all these cases there was asmall, statistically
insignificant
&dquo;parental
age xdensity&dquo;
interaction, suggesting
that these 2 variables arelargely
independent
inmoulding
parental
age andpopulation density
onlongevity
andfecundity
seem to be different.For all
fecundity
indices we foundsignificant
influence ofparental
age(table III).
Significant
effects of larvaldensity
have been found forlongevity,
as well as forseveral
fecundity
indices(see
tableIII).
Figure
1 shows the overallpattern
ofsurvivorships
in different treatments. Inorder to compare different
survivorship
curves we haveemployed
the testsuggested
by
Rose(1984).
This test is based on thecomparison
ofmortality
rates.Concerning
mortality
rate differences there are 2hypotheses
to test.First,
statisticalsignificance
of the averagemortality
rate differences betweenpaired
groups.Second, analysis
of trend with
respect
to age inmortality
rate differences. The raw data fortesting
both
hypotheses
have been obtained as follows:(1),
agespecific mortality
rates werecalculated for each of 5 4-d
intervals,
from d 1 to d 20 of the assay(after
d 20 therewere too few
individuals); (2),
mortality
rate differences between thepaired
groupshave been divided
by
the totalmortality
rate in thatage-interval;
(3),
the obtaineddata were then used to calculate the mean
mortality
rate differences betweenpaired
groups.Through
eachpair’s
mortality
rate data the least square linearregression
None of the estimated average
mortality
rate differences between anypair
ofcompared
populations
issignificantly
different from zero. Inaddition,
except
for thecomparison
within controlpopulation
(between
offspring
of young and oldparents)
there is no
apparent
agespecificity
inmortality
rate differences betweencompared
groups.
(Space
considerationspreclude
the detailedpresentation
of theseresults,
butthey
are available from the seniorauthor.)
The overall
patterns
of the meandaily
fecundity
in all treatments are shown infigure
2.Although
there is noappropriate
statistical test for the entirefecundity
pattern,
it seems thatpostponement
inreproductive
output
ispresent
in theoffspring
of old relative to youngparents
in all treatments.The
magnitudes
of the actual responses toone-generation
selection forearly
and latefecundity
in terms of theintensity
of selection(i),
selection differentials(S),
selection response
(R)
and realizedheritability
(h
2
)
aregiven
in table IV. Thechange
in theexpected phenotypic
value inoffspring
asa result
ofone-generation
selection that
chiefly
interests us here is the realizedheritability.
Thepatterns
forboth traits
(early
and latefecundities)
suggest
that realized heritabilities aregreater
in the
high density
population.
Acomparison
of realized heritabilities betweenearly
and late
reproduced
groups indicates that realized heritabilities arehigher
forearly
fecundity
in allexperimental populations.
Narrow and broad sense
heritability
estimates forlongevity
andfecundity
datafor
early reproduced
weevils within eachpopulation
aregiven
in table V. Theheritabilities for late
reproduced
parents
have beenomitted,
since a valid estimationof
genetic
variation with a small number of families(here
10-16 perpopulation)
is not
possible. Only
2traits,
both within the lowdensity population,
showedsignificant
narrow sense heritabilities(table
V). Among
all full-sib estimates ofheritability
7 weresignificantly
different from zero.Genetical variation is a necessary
prerequisite
for the existence ofgenetic
correlation between different traits. Since we found no
significant
heritabilities in mostanalysed
traits,
there was a smallpossibility
offinding
asignificant genetic
correlation among them.
Nevertheless,
we calculated the additivegenetic
correlationamong traits for
offspring
of youngparents
within each of 3populations.
Aspredicted,
none of the estimated correlations aresignificantly
different from zero(for
this reason we omitted their
presentation,
butthey
are available from theauthors).
DISCUSSION
According
to Luckinbill and Clare(1985)
specific change
in the externalenviron-ment
during preadult
stages
(ie
high
larvaldensity)
and the internal environmentduring
adultstages
(ie
reproduction
at the laterstages)
give
rise to increasedlongevity
inDrosophila melanogaster.
The results oflong-term
selection forde-layed
senescence obtainedby
Rose and Charlesworth(1981b),
Rose(1984),
Mueller(1987)
and Service et al(1988),
also with Dmelanogaster,
are inqualitative
accord with the above-citedexpectation
regarding
the effects ofparental
age and larvaldensity.
It is to beexpected, therefore,
that1-generation
selection for laterepro-duction in a
population
selected 10generations
forhigh
larvaldensity
will showobtectus,
we,however,
have not been successful indetecting
significant
response tocombined effects of late
parental
age andhigh
larvaldensity
withrespect
to adultlongevity
(table I).
In
fact,
we have obtainedonly
direct responses to1-generation
selection in bothearly
and latereproducing
parents
(table IV).
However,
there was no correlationbetween the
fecundity
responses andlongevity. Though
the averagelongevities
in latereproduced
parents suggest
some enhancement inlongevity,
the overall effectsof this treatment do not reveal
significant
differences(table III).
Finally,
mortality
rate differences between treatments were not observed either.The outcome of our
previous study
with the bean weevil(Tuci6
etal,
1990),
inwhich
long-term
selection forearly
and latereproduction
wasimposed,
has beenconsistent with the
present
results.Moreover,
thesefindings
are inagreement
withthe observation of
Moller
et al(1989),
who found a similarrelationship
betweenlongevity
andfecundity
in another weevilspecies,
Calosobruchus maculatu,s. Theabsence of the direct link between
fecundity
andlongevity
in ourexperiments
implies,
therefore,
that differences infecundity
of the bean weevils need not involve genes withpleiotropic
effects onlongevity.
Though
quantitative genetic analyses
seem futile when selectionexperiments
fail to detect a cost ofreproduction trade-off,
we havefound,
atleast,
2 reasons for suchanalyses. First,
besides thepredictive value, analyses
of thegenetic
variation and covariation among fitness traits haveimportant descriptive
value.Second,
and ofmore interest in the
present context,
there is apossibility
that observedtrade-offs between
early
and latefecundity
have agenetic
basis.Indeed,
the resultsin tables I and III
suggest
thatparental
age couldreally change
thefecundity
schedule in the waypredicted by antagonistic pleiotropy theory
(ie
thatoffspring
of the young
parents
havehigher early fecundity
thanoffspring
of the oldparents,
and viceversa).
But the absence ofstatistically
detectablenegative
correlationsbetween
early
and late fecundities made ourstudy
inconclusive withrespect
tothe
possible genetically
based trade-off amongfecundity
indices. There is anotherargument against
antagonistic
pleiotropy
betweenearly
and latefecundity.
Having
in mind our selection
regimes,
it is verylikely
thatoffspring
of the youngparents
lack some
genetic
variants,
increasing
the latereproduction,
which arepresent
inoffspring
of the oldparents.
Similarly,
thehigh
latereproduction
inoffspring
of the oldparents
would not becausally
related to their lowearly reproduction
effort(Partridge,
1987,
has used the samearguments
against negative genetic pleiotropy
in the
interpretation
of the above-citedlong
term selection studies withDrosophila).
Hence,
thesimplest
interpretation
of our results is in terms ofphenotypic
plasticity
forlongevity
andfecundity.
It means that every bean weevil female mayface a
phenotypic
(physiological)
trade-off in the allocation of limited resourcesbetween
fecundity
andlongevity,
but in the absence ofgenetic
variation in thisallocation,
thegenetical
trade-off is undetectableby long-term
selectionexperiments
or
by genetical analyses.
We could say then that differences between individuals arebased on
phenotypic
plasticity
(which
is ashort-term, contingent
response of anindividual to immediate circumstances which may increase
fitness),
and agenetical
ACKNOWLEDGMENTS
We thank D Marinkovic and the anonymous reviewers for their
helpful suggestions
andcomments on the
manuscript.
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