Fee ndity of A antic C d (Gadus morhua) in he S ut estern .Gulf of S ...
Fee ndity of A antic C d (Gadus morhua) in he S ut estern .Gulf of S ...
Fee ndity of A antic C d (Gadus morhua) in he S ut estern .Gulf of S ...
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Number <strong>of</strong> Blend<strong>in</strong>q Cycles<br />
21 41<br />
Fig. 2. Effect <strong>of</strong> blend<strong>in</strong>g on egg clumps; t<strong>he</strong><br />
percent occurrence <strong>of</strong> fre-e eggs, egg s<strong>he</strong>lls, and<br />
eggs In clumps <strong>of</strong> df f f n r en t sizes for five blend<strong>in</strong>g<br />
regimes Is shown. Each blendIng cycle consIsted <strong>of</strong><br />
a 2-sec burst <strong>of</strong> approxImately 160 revol<strong>ut</strong>Ions (see<br />
text for details).<br />
w<strong>he</strong>re:<br />
_ - Percent <strong>of</strong> Eggs <strong>in</strong> Clumps <strong>of</strong> 2 - 4 Eggs<br />
~ - Percent <strong>of</strong> Eggs <strong>in</strong> Clumps <strong>of</strong> 5 - 10 Eggs<br />
IOO[ c:::::l-Percent <strong>of</strong> Loose Eggs <strong>in</strong> Sample<br />
c::::J-Percent <strong>of</strong> Egg S<strong>he</strong>ils <strong>in</strong> Sample<br />
80~<br />
:; c/<br />
E r<br />
:-; ~<br />
"J I~<br />
L~t_<br />
eggs were taken with a suc t i o n pipet, each be<strong>in</strong>g<br />
p lnrr-d <strong>in</strong> il O.I-mL calihrated, conical, centrIfuge<br />
t UIH'. 'I'lio suhuarnpLc was t<strong>he</strong>n poured Into a pe t r L<br />
di sIr .uid il magni.fy i ng glass was used to count each<br />
s nbs.unple . If necessary, t nd t.v LduaI eggs In any<br />
retna i.n i ng clumps were counted wIth t<strong>he</strong> a i.d <strong>of</strong> a<br />
ICeiss stereoscope. T<strong>he</strong> count<strong>in</strong>g error was estImated<br />
by r ec o un t Lng t<strong>he</strong> same subsample three t i.mes ,<br />
Suhsamp1i.ng va r t ab i Li.ty (coefficIent <strong>of</strong> var i a t Lon )<br />
was calculated from t r I pl.Lc a t e counts. T<strong>he</strong> total<br />
number <strong>of</strong> mat u r i ng eggs In each female (absol<strong>ut</strong>e<br />
fecundIty) was calculated by t<strong>he</strong> followIng formula:<br />
Ac<br />
v<br />
\-It<br />
\-Is<br />
t<strong>he</strong> average number <strong>of</strong> eggs <strong>of</strong> dIameter<br />
greater than 250 p (I.e. maturIng<br />
oocytes) In a subsample,<br />
sample vol ume <strong>of</strong> t<strong>he</strong> eggs processed In<br />
GIlson's fluid (mL, measured <strong>in</strong> Inh<strong>of</strong>f<br />
cone),<br />
total weIght <strong>of</strong> both ov a r Le s (g),<br />
sample weIght <strong>of</strong> ovary processed In<br />
GIlson's fluId (g).<br />
RESULTS AND<br />
DISCUSSION<br />
T<strong>he</strong> method used <strong>he</strong>re to estImate fecundIty was<br />
relatively s i mpl.e and its rel t abLl I t y was easIly<br />
tested. Possible errors origInated from eit<strong>he</strong>r t<strong>he</strong><br />
subsamplIng (eggs not settled properly <strong>in</strong> conical<br />
tube) or t<strong>he</strong> sampler's count<strong>in</strong>g error. Both <strong>of</strong><br />
t<strong>he</strong>se procedures could be c<strong>he</strong>cked by calculat<strong>in</strong>g t<strong>he</strong><br />
coefficIent <strong>of</strong> variation and, if necessary,<br />
r r-po a t e d , T<strong>he</strong> coefficient <strong>of</strong> variation for t<strong>he</strong><br />
three egg subsamples ranged from 0-11% with an<br />
avt'rClge <strong>of</strong> 4.3.± 2.4~:: (sd ) (Table I). This<br />
va r i a t io n compares favorably with t<strong>he</strong> correspond<strong>in</strong>g<br />
-2-<br />
value~ reported by. Nay (1967) for t<strong>he</strong> whirlIng<br />
vessel method (6.0%) and t<strong>he</strong> weight method (3.1%),<br />
and by PItt (1964) for t<strong>he</strong> whirl<strong>in</strong>g vessel method<br />
(9.5%). Similarly, t<strong>he</strong> count<strong>in</strong>g reproducibIlitv was<br />
estimated to be with<strong>in</strong> 1%, which compares with ~t<strong>he</strong><br />
values <strong>of</strong> 0.2-2.0% and 0.02-0.92% reported,<br />
respectively, for wet and dry electronIc count<strong>in</strong>g<br />
methods used by Oosthuizen and Daa n (1974).<br />
T<strong>he</strong> blender modification solved t<strong>he</strong> problem <strong>of</strong><br />
egg clump<strong>in</strong>g and greatly decreased t<strong>he</strong> time required<br />
to »repa r e t<strong>he</strong> samples for coun t Lng • It was<br />
necessary, however, to make sure that eggs were well<br />
hardened by t<strong>he</strong> Gilson's fluid, and that t<strong>he</strong> proper<br />
speed and number <strong>of</strong> cycles were used. Clumps con<br />
~ist<strong>in</strong>g <strong>of</strong> 5-10 eggs accounted for 10% <strong>of</strong> t<strong>he</strong> eggs<br />
a n t<strong>he</strong> sample after 3 blend<strong>in</strong>g cycles and "",re not<br />
observed after 9 blend<strong>in</strong>g cycles. Likewise, t<strong>he</strong><br />
percentage <strong>of</strong> eggs <strong>in</strong> clumps <strong>of</strong> 2-4 eggs fell from<br />
40.5 - 0.5 after 3-41 blend<strong>in</strong>g cycles. T<strong>he</strong> number<br />
<strong>of</strong> egg s<strong>he</strong>lls rema<strong>in</strong>ed relatively constant (3-5%)<br />
for up to 21 blend<strong>in</strong>g cycles b<strong>ut</strong> accounted for 18.0%<br />
<strong>of</strong> t<strong>he</strong> sample after 41 blend<strong>in</strong>g cycles (Fig. 2). To<br />
avoid t<strong>he</strong> breakdown <strong>of</strong> eggs due to blend<strong>in</strong>g, egg<br />
clumps collected <strong>in</strong> t<strong>he</strong> top sieve were blended for<br />
only 15-18 bl.e nd I ng cycles.<br />
Mesenteries and ot<strong>he</strong>r ovarian t Ls s ue<br />
contrib<strong>ut</strong>ed an average <strong>of</strong> 1.99% (+0.64 SO) to t<strong>he</strong><br />
total gonad Height (Table 1). Figure 3 shows a<br />
strong relationship (r 2 = 0.87) between total<br />
ovary and non-egg ovarian tissue weights. This,<br />
however, is still an underestimate, as much <strong>of</strong> t<strong>he</strong><br />
ovarian Hall and follicular membranes may have<br />
dissolved while <strong>in</strong> Gilson's fluid. Nevert<strong>he</strong>less, it<br />
rep~esents a possible error <strong>of</strong> up to 4% <strong>in</strong> fecu<strong>ndity</strong><br />
e s t tma t e s based on egg/ovary weight (or volume)<br />
r' ela t ions hips •<br />
T<strong>he</strong> length, weIght, and fecundIty for each cod<br />
sampled are shown <strong>in</strong> Table I. Absol<strong>ut</strong>e fecundi ty<br />
was def<strong>in</strong>ed by Bagenal (1978) as "t<strong>he</strong> number <strong>of</strong><br />
ripen<strong>in</strong>g eggs found <strong>in</strong> a female just prior to<br />
spawn<strong>in</strong>g." In this study, a ripen<strong>in</strong>g egg was<br />
def<strong>in</strong>ed as any oocyte that did not pass through a<br />
250-p mesh s i.eve , This conformed to t<strong>he</strong> size<br />
criterIon o<strong>ut</strong>l<strong>in</strong>ed by Sorok<strong>in</strong> (1961) who found that<br />
Barents Sea cod <strong>in</strong> ripen<strong>in</strong>g condition (stage II or<br />
Rl) had oocytes larger than 280 ,u. May (1967) found<br />
that eggs smaller than 200 J1 represented second<br />
generation eggs and were not to be <strong>in</strong>cluded <strong>in</strong><br />
fecu<strong>ndity</strong> estimates.<br />
Absol<strong>ut</strong>e fecu<strong>ndity</strong> ranged from 231,271 to<br />
8,635,180 eggs, with an average relative fecu<strong>ndity</strong><br />
(Bagenal 1978) <strong>of</strong> 379 eggs!g (Table 1). Equations<br />
relat<strong>in</strong>g fecu<strong>ndity</strong> to size are shown <strong>in</strong> Table 2 and<br />
Fig. 3 and 4. T<strong>he</strong> fe c und i t y-rs Lze relationship show<strong>in</strong>g<br />
best f i.t (hig<strong>he</strong>st r2d was <strong>of</strong> t<strong>he</strong> form F = aw b<br />
(Table 2, eq . 2). T<strong>he</strong> r for this power curve<br />
was much hig<strong>he</strong>r (0.86) than for t<strong>he</strong> l<strong>in</strong>ear form F<br />
bW + a (0.77). T<strong>he</strong> relation between fecu<strong>ndity</strong> and<br />
length (Table 2 and Fig. 4, eq . I) was also highly<br />
significant (r 2 0.81). To compare t<strong>he</strong>se<br />
results with those <strong>of</strong> Powles (1957, 1958), it was<br />
necessary to re-analyze (regression analysis was<br />
used) his orig<strong>in</strong>al data. Although his orig<strong>in</strong>al presentation<br />
<strong>in</strong>cluded only 34 po i n t s (Powles 1957, Ff.g .<br />
8), only 3 <strong>of</strong> t<strong>he</strong> 46 fecundIty measurements Included<br />
<strong>in</strong> Table 6 <strong>of</strong> t<strong>he</strong> Appendix (Powles 1957) were discarded<br />
as be<strong>in</strong>g "o<strong>ut</strong>liers." No justification was<br />
found for elim<strong>in</strong>at<strong>in</strong>g ot<strong>he</strong>r data.<br />
Nultiple regression analyses, us<strong>in</strong>g a dummy<br />
variable (wh e r e DV = 0 for Powles' s t ud v and DV =