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FECUNDITY AND GONADOSOMATIC INDEX OF FLESHY

SNOUT CATFISH, Ar ius disparHERRE, 1926, FROM LAGUNA DE

BAY

JULIEN DOMINIC P. TORIO

Institute of Biology

College of ScienceUniversity of the Philippines

Diliman, Quezon City


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Institute of Biology

College of ScienceUniversity of the Philippines

Diliman, Quezon City

ENDORSEMENT

This thesis attached hereto, entitled Fecundity and gonadosomatic index of fleshysnout

catfish, Ar ius dispar Herre, 1926, from Laguna De Bay prepared and submitted by

Julien Dominic Piscal Torio in partial fulfillment of the requirements of the degree of

Bachelor of Science in Biology is hereby accepted.

Jonas P. Quilang, Ph.D.Adviser


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BIOGRAPHICAL DATA

Name: Julien Dominic Piscal Torio

Address: 38 Plaridel St., Brgy. Doa Aurora, Quezon City, Metro Manila

Email Address: [email protected] of Birth: March 25, 1990

Place of Birth: Quezon City

Nationality: Filipino

Religion: Roman CatholicFathers Name: Alexander S. Torio

Mothers Name: Maxima P. Torio

Educational Attainment:

Grade School: Lourdes School (1997-2003)

Quezon City, Metro Manila

High School: Ateneo de Manila High School (2003-2007)Quezon City, Metro Manila

College: Institute of Biology, (2007-2011)University of the Philippines,

Diliman, Quezon City, Metro Manila

Organizations: UP Association of Biology Majors (2009-2011)UP Environmental Society (2009-2011)
mailto:[email protected]:[email protected]


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ACKNOWLEDGEMENTS

I would like to thank the following who contributed much for this work:

God, for making every endeavor a success;

The Institute of Biology for providing me the necessary facilities and knowledge needed

for the study;

The UP Diliman Office of the Vice-Chancellor for Research and Development forfunding the study through a PhD Incentive Award (Project No: 090921) given to my

adviser;

Dr. Jonas Quilang, my adviser, for accepting me as his advisee and helping me,

especially in my data analysis;

Dr. Alex Torio and Dra. Emma Torio, my parents, who supported and believed in me

as their eldest son;

Brian S. Santos, Reynand Canoy and Jazzlyn Tango for providing and collecting thesamples needed in this study;

Sean Aquilino, Luis Aquino, Mika Ablaza, Reynald Reyes and Johann Montemayorfor helping me in processing the samples and counting the eggs of the ovaries;

Mika Ablaza for fixing my table of contents and the list for figures and tables;

UPBI for the continuous support all throughout the duration of my senior year;


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TABLE OF CONTENTS

ENDORSEMENT......i

BIOGRAPHICAL DATA.......ii

ACKNOWLEDGEMENTS...iii

TABLE OF CONTENTS...iv

LIST OF TABLES......vi

LIST OF FIGURES....vii

ABSTRACT...viii

INTRODUCTION.....1

Background of the problem........1

Specific objectives of the study..3

Significance of the study..4

REVIEW OF RELATED LITERATURE.......5

Arius dispar...........5

Laguna de Bay.......6


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RESULTS.....14

Sex Ratio..........14

GSI.....14

Fecundity.........14

Length at Maturity......15

DISCUSSION......16

GSI.....16

Ovary Characteristics.....16

Fecundity......17

CONCLUSIONS AND RECOMMENDATIONS...19

LITERATURE CITED......21

TABLES...........23

FIGURES.....32

APPENDICES.....44


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LIST OF TABLES

Table 1. Total number of Arius dispar collected in Laguna de Bay per monthComposition according to sex is given.......................................................................... 23

Table 2. GSI SE values per month for both the male and the female population.

The standard error of the mean for both sexes is also included.. 24

Table 3. Mean fecundity ofArius disparfor a year of sampling in Laguna de Bay.. 25

Table 4. Data used for correlation and regression analyses between fecundity ofrius dispar and the independent variables: total length (TL), standard length (SL

and ovary free body weight (OFBW).. 26

Table 5. The summary of the monthly average fecundity and the averages of the

independent variables per month of sampling that were done from October 2009 to

September 2010 31


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LIST OF FIGURES

Figure 1. Gonadosomatic index (GSI) values for each month of sampling for bothmale and female populations ofArius dispar..32

Figure 2. The average fecundity per month of Sampling of Arius dispar from October

2009 to September 2010..33

Figure 3. Scatter plot between Total Length and Fecundity for all specimens of Arius

disparthat were used in the fecundity study...34

Figure 4. Scatter plot between the fecundity and standard length of Arius dispar for

each month of sampling...35

Figure 5. Scatter plot between the fecundity and ovary free body weight of all the

samples ofArius disparfor each month of sampling.36

Figure 6. Regression between the mean fecundity and mean total length of all samples

ofArius disparfor each month of sampling37

Figure 7. Regression between the mean fecundity and mean standard length of allsamples ofArius disparfor each month of sampling.38

Figure 8. Regression between the mean fecundity and mean ovary free body weightof all samples ofArius disparfor each month of sampling..39

Figure 9. Mean standard length of Arius dispar samples collected each month from

October 2009 to September 2010...40


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ABSTRACT

Arius dispar Herre, 1926 is a native fish species in Laguna de Bay. In this study, the

fecundity and gonadosomatic index (GSI) ofArius dispar were determined by a monthly

collection of samples for a year from October 2009 to September 2010. The highest GSI

in males is 0.150.05 which was obtained for the October samples, whereas in females

the highest GSI is 2.990.45 which was obtained for the July samples. Using

gravimetric method, the highest average fecundity was 1,932 234 obtained for samples

collected in July, 2010. Correlations and regressions were done on fecundity (F) and

total length (TL), standard length (SL) and ovary free body weight (OFBW). The

regression equations and their coefficients of determination (r2) were as follows: F =

3.36xTL1.764

(r2= 0.067),F = 4.80xSL

1.760(r

2= 0.067),F = 48.19xOFBW

0.623(r

2= 0.088).

The study can be better improved by increasing the number of ovary samples per month.


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INTRODUCTION

Laguna de Bay is the largest freshwater lake in the Philippines, with around

90,000 hectares of surface area (Palma et al. 2002). It is a very important water body

since it is a main resource for food and power (electricity). Residents use this as their

main source of livelihood by catching different kinds of fishes for food and for selling in

the market. It is the sink for small streams but it is drained by the Pasig River only .

During the rainy season, the water level in this lake rapidly increases. In contrast, the

water level subsides at a very slow rate (Aldaba 1931).This lake also contains a variety of

freshwater fishes. In the Philippines, kanduliis very abundant specifically in Laguna de

Bay. It is the main animal food for the people that are living near the lake as well as

people living in nearby provinces (Mercene 1978)

In terms of abundance, the sea catfish is the most important fish in the lake. Five


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other using physical characteristics. The difference can be observed by inspecting the

palatal tooth patches. A. manillensishas two ovate patches, whereas A. disparhas two

small patches that are widely separated from each other (Vallejo 1986). The focus of this

study is onA. dispar.

The catfish Arius dispar Herre, 1926, also known as fleshysnout catfish, is

member of the Ariidae family, Order Siluriformes. Members of this family usually have

whisker like structures called barbels in their head region. These structures contain

several receptors that the catfish uses to locate food. The feeding habit of this fish may

vary from being herbivorous to carnivorous to cannibalistic. Usually, the younger

catfishes are the ones that are herbivorous; they are found usually at a shallower place in

the lake.

The breeding habits of catfishes in this lake are not well-studied. This is because

the adult catfishes stay on more benthic regions of the lake, hence actual observations of

their behavior cannot be made. In contrast, the younger catfishes stay on shallower part


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number of eggs that an organism releases during spawning season (Zamarro 1992).

Fecundity studies are important to determine the number of individuals that is expected

from the generation of fishes that were collected from a given water body. Different

actions are done if ever there is a threat in the reproductive capability of the species in the

study.

Fecundity studies involve the extraction of the ovary and the counting of the eggs

that are present inside the ovary. Several studies on fecundity were already done for

several fish species including many catfishes. However, to this date, no studies have

been published about the fecundity ofA.dispar.

Gonadosomatic index (GSI) is also included alongside fecundity investigations.

This kind of study is commonly used to determine the maturation of the gonad and

spawning season of the fish (Al-Zibdah & Kanan 2009). Comparison of indices can

determine certain stresses that may have affected the growth and the reproductive

capability of the fish. Different studies show that some external factors like chemicals


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A.dispar. Lastly, this study may become a stepping stone to several biological and even

economic studies in the future.


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REVIEW OF RELATED LITERATURE

Ar ius dispar

Arius disparHerre, 1926 is commonly known as the Fleshysnout catfish. This

species is a member of Family Ariidae or the sea catfishes. It can be mostly seen in

freshwater systems like turbid inshore waters and brackish water lagoons .Also, as any

other catfish,A.disparis an excellent food fish (Kailola 1999).

Catfishes, including A.dispar, are not very well studied biologically due to the

difficulty of sampling and of conducting direct observations.The sea catfishes, locally

known as kanduli, somehow stay on the deeper parts of the water, which makes it a hard

task to make direct observations directly (Aldaba 1931).

However, there are some studies that have been done on the breeding and

spawning habits of kanduli. Sea catfishes are mouth brooders which means that the eggs

k t i th th f th t i thi th l tfi h Ald b (1931) f d


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Laguna de Bay

Laguna de Bay is the largest and most important lake in Philippines (Palma et al .

2002). The lake is found southeast of Manila Bay (Delos Reyes & Martens, 1994).

Several streams empty into it but only the Pasig River drains it (Aldaba 1931). The lake

houses a variety of fishes which are now being studied for genetic and taxonomical

purposes. The lake is a very important part of the livelihood of the people living around

it. The local fishing industry is very active since there are about twenty species of fishes

that are considered as food. Some of these fishes can be caught in very large amounts, of

which the catfishes are the most abundant (Mane 1929).

The lake houses five types of catfishes (Aldaba 1931). But Vallejo (1986)

reported only two species. These catfishes almost share the same physical characteristics

which make it very hard to differentiate them when they are in a pile . The abundance of

catfishes is very remarkable, making it an important animal for the people who use this


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Catfish fishery in Laguna de Bay

Owing to their abundance, catfishes play a major role in the livelihood of people

living near Laguna de Bay.Different fishery studies showed that there is a decline in the

amount of catfish being caught per year (Villadolid 1934; Palma et al. 2002). This is due

to some anthropogenic activities that may have affected the water quality. Palma et al.

(2002) investigated species composition of Laguna de Bay and the abundance of the

different agricultural fish species that is found in the lake. It showed that only 13 species

of fish were caught in the lake. The study recorded the total catch in 1995 and 1996.

The most dominant species during these years is tilapia. This study indicated the

decrease in the population of the catfishes in the lake. The study also included the

different fishing techniques and the socio-economic status of the fishermen in the lake.

Villadolid (1934) put forward different causes of the depletion of the fish species

in Laguna de Bay. The author discussed and enumerated some factors that may have

contributed in the depletion of the catfish population in the lake. These factors included


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Another factor that was mentioned in the study is the dominance of the immature

and young kanduliin the local market (Villadolid 1934). This means that fishermen do

not let the young catfishes grow to their full size to reach sexual maturity. This results in

the depletion of the possible reproducers for the next generation of catfishes.

Large market demand for other organisms may have contributed to the decrease

of catfish population. These organisms are prawns, snails and small fishes. The demand

results in the use of exploitative methods which destroys the ecosystem in the lake. Mass

depletion of the food of the fish will also result in the decrease in the fish population.

Periodic occurrence of bad water in Laguna de Bay may have also contributed to

the catfish decline of population in the lake. This bad water incidence results in mass

death of the organisms in the lake including the commercially important fishes like the

kanduli.It is believed that this incident is caused by different external factors like the salt

water that comes from Manila Bay and the decay of algae locally known as lia. During


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Fecundity

The study on fecundity is often done to determine the reproductive capability of a

certain organism. It is the potential of the female population to reproduce. Fecundity

studies are needed since there are different reproductive strategies a certain organism

employs, like spawning patterns (Marimuthu & Haniffa 2006). In addition, the study of

fecundity also investigates the index of density dependent factor that affects the size of

the population (Bhuiyan et al. 2006).

Gravimetric method is most commonly used to estimate the fecundity of fishes.

This method is based on the relationship of the weights of the ovary and the oocyte

density that is present in the weighed ovary. This technique is very useful in determining

batch fecundity, total fecundity and potential annual fecundity of the fish (Murua et al.

2003).

A usual result in fecundity studies is that the fecundity of a fish is linearly related

to its body weight or to its body length. One example is the study of Marimuthu and


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body weight and body length, the graph also showed linear relationships. A more recent

study on fecundity was on Gadus morhuaalso known as the Atlantic cod (Thorsen et al.

2010). Aside from the usual result of having linear relationship between the fecundity

and body weight or body length, the authors also found that there is a reduction in

relative potential fecundity when the fish reaches maturity at the point of spawning.

Gonadosomatic index

To investigate and examine the gonadal maturation and spawning season,

gonadosomatic index (GSI) analysis is done (Al-Zibdah & Kanan 2009). Also,

gonadosomatic index is often used to indirectly assess the effect of the environment or

internal cues to the reproductive status of the fish (Brewer et al. 2007). Studying the GSI

also helps in the improvement or monitoring of spawning seasons in different fishing

sites. Different studies of GSI were done to different kinds of fishes. The studies often

concentrate on the spawning season of the fish and the different effects of external factors


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GSI of the gonads. Multiple regression analysis shows that these external factors only

affected the female gonads.

Another study was on Gobius niger by Louiz et al. (2009). Similar to the

preceding study, this project focused on the effects of the external environment on the

development of the gonads by analysis of GSI.The fish came from the Bizerte lagoon. It

was noted in the study that the lagoon was polluted and this pollution may have affected

to the gonadal development of the candidate fish species. The pollution had negative

effects on the gonads of the fish species.


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MATERIALS AND METHODS

A. disparindividuals were collected from Binangonan, Tanay and Calamba areas

around the Laguna de Bay every month from October, 2009 to September, 2010. A total

of 1,698 fish were collected, 907 of which were males and 791 were females. The

identification and processing of the fishes were done in the laboratory. Standard length,

fork length, total length, and weight of each fish were recorded. The gonads were

extracted and the sex of each fish was determined. The extracted gonads were weighed

after the removal of moisture by letting the ovary dry up on top of a paper. Weight was

measured to the nearest milligram. The gonads were then stored in 10% formalin.

The fecundity was measured using gravimetric method (Kipling & Frost, 1969).

A total of 181 ovaries were opened and the eggs were teased apart for counting. Three

regions of each lobe of the ovary were obtained, the anterior, middle and posterior. The

sub-sample was placed in a petri dish where it was immersed with formalin. The eggs in

the sub-sample were separated from the tissue. After which, the eggs in the petri dish


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After obtaining the fecundity, data were compiled and statistical tests were done

and graphs were generated. The fecundity was regressed against three independent

variables: total length (TL), standard length (SL), and ovary-free body weight (OFBW).

The equation of each regression was given by F=aVb

, where F is the fecundity, a and b

are the two model parameters, V is the independent variable in the equation (either TL,

SL, or OFBW).


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RESULTS

Sex Ratio

The total number of individuals that were collected for Arius disparwas 1,698.

The total male population for the whole year of sampling was 907 while the female

population consisted of 791 individuals (see Table 1). The sex ratio was 53:47.

GSI

The GSI was computed for each month of sample (see Table 2). As seen on Fig.

1, the male GSI peaked in October 2009 while in females, it peaked in July, 2010. It can

be seen, however, that there is another peak in April, 2010. This may be due to the

multiple spawning capability ofA. dispar.

Fecundity

The fecundity per month of sampling was obtained. The mean fecundity for each


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body weight (Dadzie 2008) (see Table 4 for the values of fecundity and the independent

variables). The relationship of fecundity to each independent variable is as follows:

Fecundity Total Length (Figure 3): F = 3.36xTL1.764

(r2= 0.067)

Fecundity Standard Length (Figure 4): F = 4.80xSL1.760

(r2= 0.067)

Fecundity Ovary Free Body Weight (Figure 5):

F = 48.19xOBFW0.623

(r2

= 0.088)

The mean of the fecundity per month was also obtained and was plotted against

the independent variables (Table 5). The relationships between each variable are seen

below.

Mean Fecundity

Total Length (Figure 6):

F = 3.17x10-6

xTL6.137

(r2= 0.382)

Mean FecundityStandard Length (Figure 7):

F =4.33x10-6

xSL6.435

(r2= 0.432)

Mean Fecundity

Ovary Free Body Weight (Figure 8):

F = 0.21xOBFW1.778

(r2= 0.393)


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DISCUSSION

GSI

GSI analysis is usually done to determine the spawning season or reproductive

periods of the fishes that are being studied (Brewer et al. 2007). In this case, the GSI of

Arius dispar Herre, 1926 was calculated and determined for both sexes. From the data

obtained, it can be inferred that the spawning season of Arius disparis during the months

of April and July. The two peaks may be the result of the biannual development of the

eggs of Arius dispar. The development of the eggs inside the ovary has already been

studied and it was determined that develops every six months (Mane 1929). GSI studies

also focus on changes in the reproductive pattern of the fish over the years. These

changes may be due to external or environmental factors that may affect the reproductive

strategy of the fish (Kamanga et al. 2002). No related studies on GSI ofArius dispar have

been done prior to this. Comparison and correlations between previous GSI values and

present values cannot be done due to the lack of information.


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13). There are cases wherein all the three stages of development of the egg are present in

one ovary. Also, the egg sizes greatly vary in one ovary. These two reasons may be the

greatest cause to the non-linearity of the relationships of egg number to the different

independent variables regressed on it.

Fecundity

There were no known studies about the fecundity of Arius dispar before this

project started. Methods and techniques that were done in this study were adapted from

different researches that were made on different fish species.

The gravimetric method was used to estimate the fecundity of A. dispar. In this

technique, several sub samples were collected in each ovary and the eggs contained in

these sub samples were counted (Kipling & Frost, 1969). The fecundity per month varied

due to the stage of sexual maturity of the fish. During April and July, GSI was at its peak

as well as the fecundity of the fish. It can be inferred that at the time of spawning, well

developed eggs are the only that go out the ovary, immature ones are left behind to stay


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correlation between the two variables. The respective r2

values for each of the mean

fecundity plots greatly increased compared to the plots generated from the raw fecundity

data. The coefficients of determination (r2) were very weak to conclude a strong

correlation between fecundity and the different independent variables regressed with it.


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CONCLUSIONS AND RECOMMENDATIONS

The study met its objectives of and was successful of determining the GSI and

fecundity of Arius dispar individuals that were collected in Laguna de Bay. Using the

GSI obtained, the spawning season of the fish was also determined. Fishermen can be

informed with this observation to have a better collecting strategy and not damaging the

natural reproductive pattern of the organism. Avoiding improper fish collection and

taking to account a scientific knowledge on the growth and reproductive pattern of the

fish, better fish catch can be obtained. Also, limiting the catch to a certain amount can

also help in the regeneration of the population of the catfish in the lake. The study of

fecundity ofArius disparthat was done in the study can help in realizing the limit of the

catch. Limiting the catch can help in replenishing the amount that was lost due to the

previous catch. With this, the fishermen can still continue with their livelihood without

endangering the natural spawning pattern of the fish as well as its reproductive pattern.

The peaks of the GSI and fecundity coincided which is an indication of a correlation

between the GSI and fecundity within the whole year of sampling. Other studies on the


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that can be done is on histological tests of the ovary which can characterize the different

stages of development of the eggs present in each of the sub-samples used.


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LITERATURE CITED

AL-ZIBDAH, M., N. KANAN. 2009. Aspects of growth, reproduction, and feedinghabit of three pomacentrid fish from gulf of Aqaba, Jordan. Jordan J Biol Sci. 2(3):

119 -128.

ALDABA, V.C. 1931.The kanduli fishery of Laguna de Bay. Philipp J Sci 45(1): 29-39.

BENANING, M.N. 2010. Laguna de bay fisheries imperiled. Mla. Bull. Retrieved fromhttp://www3.mb.com.ph/articles/275250/laguna-de-bay-fisheries-imperiled (Date

Accessed: September 19, 2010)

BHUIYAN, A.S., K. ISLAM, T. ZAMAN. 2006. Fecundity and ovarian characteristics ofPuntius gonionotus(bloch/bleeker) (Cyprinidae: Cypriniformes). J Bio-science. 14: 99

102.

BREWER, S.K., C.F.RABENI, D.M.PAPOULIAS. 2007.Comparing histology andgonadosomatic index for determining spawning condition of small-bodied riverine

fishes. Ecol Freshw Fish.17: 5458.

DADZIE, S., F. ABOU-SEEDO, J.O. MANYALA. 2008. Length-length relationship,

length-weight relationship, gonado-somatic index, condition factor, size at maturityand fecundity of Parastromateus niger (Carangidae) in Kuwaiti waters. J Appl

Ichthyol. 24: 334 - 336

DELOS REYES, M., R. MARTENS. 1994. Geoecology of Laguna de Bay, Philippines I.techno-commercial impact on the trophic level structure of the Laguna de Bay aquatic

ecosystem 19681980. Ecol Model.75/76: 497 -509.


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MANE, A.M. 1929. A preliminary study of the life history and habits of kanduli (Arius

spp.) in Laguna de bay. The Phil Agri. 18(22): 81108

MARIMUTHU, K., M.A. HANIFFA. 2006. Studies on fecundity of captive reared

spotted snake head Channa punctatus(Channidae). J Fish Aquat Sci. 1(3): 291296.

MERCENE, E.C. 1978. Kanduli population survey of Laguna de Bay. Phil J Fish.

16(1):124.

MURUA, H., G.KRAUS, S.JUNQUERA, F.SABORIDO-REY, A.THORSEN, P.R.

WITTHAMES. 2003.Procedures to estimate fecundity of marine species in relation

to their reproductive strategy.J Northwest Atl Fish Sci.33: 3354

PALMA, A.L., A.S.DIAMANTE, R.M.POL.2002. An assessment of fishery resourcesof Laguna de Bay. Aquat Ecosyst Health. 5: 121-128.

ROSCH, R. 2000. Gonadosomatic index (GSI) of female whitefish (Coregonuslavaretus) in lake constance. Limnologica.30: 193 - 196.

THORSEN, A., O. S. KJESBU, G. MARTEINDOTTIR, R.D.M. NASH, P.R.

WITTAHAMES. 2010. Fecundity and growth of atlantic cod (Gadus morhua L.)along a latitudinal gradient.Fish Res.104: 4555.

VALLEJO, A.N. 1985. Fishes of laguna de bay. Nat Appl Sci Bull. 37(4): 285-346

VILLADOLID D V 1934 Kanduli fisheries of Laguna de Bay Philippine islands


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TABLES

Table 1. Total number of Arius dispar collected in Laguna de Bay per month.Composition according to sex is given.

Month All Male Female %Male %Female

October 2009 33 16 17 48.48 51.52

November 2009 119 64 55 53.78 46.22

December 2009 194 111 83 57.22 42.78

January 2010 97 64 33 65.98 34.02

February 2010 278 180 98 64.75 35.25March 2010 249 130 119 52.21 47.79

April 2010 68 28 40 41.18 58.82

May 2010 115 60 55 52.17 47.83

June 2010 94 59 35 62.77 37.23

July 2010 109 47 62 43.12 56.88

August 2010 161 77 84 47.83 52.17

September 2010 181 71 110 39.23 60.77Total 1698 907 791 53.42 46.58


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Table 2.GSI SE values per month for both the male and the female population. The standard error of the mean for both sexes is

also included.

Month Oct-09 Nov-09 Dec-09 Jan-10 Feb-10 Mar-10 Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10

Male 0.150.05 0.060.00 0.050.00 0.040.01 0.050.00 0.120.01 0.070.01 0.070.01 0.050.01 0.070.01 0.050.01 0.040.00

Female 0.960.69 0.340.02 0.230.01 0.370.06 0.520.06 2.370.37 2.840.64 2.420.57 1.110.38 2.990.45 2.740.50 1.970.37


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Table 3.Mean fecundity ofArius disparfor a year of sampling in Laguna de Bay.

Month Number of Samples Range Mean SEM

October 2009 10 207 1367 800 111

November 2009 10 431 1541 948 89

December 2009 10 642 1239 881 68

January 2010 10 268 1401 687 122

February 2010 16 104 902 450 50

March 2010 26 366 4109 1177 177

April 2010 10 412 3907 1443 340

May 2010 17 353 3907 975 172

June 2010 15 502 3142 1086 204

July 2010 21 375 4495 1932 234

August 2010 21 220 4253 1868 234September 2010 15 267 2041 1113 152

Legend: SD, Standard Deviation; SEM, Standard Error of the Mean


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Table 4.Data used for correlation and regression analyses between fecundity of Arius

disparand the independent variables: total length (TL), standard length (SL) and ovaryfree body weight (OFBW).

Specimen

ID

log

Fecundity

logTL logSL logOFBW

ABi 1 2.67 1.37 1.28 1.97

ABi 2 2.89 1.38 1.29 2.00

ABi 16 2.83 1.36 1.27 1.94

ABi 21 2.68 1.39 1.30 2.02ABi 27 2.32 1.35 1.26 1.89

ABi 28 2.93 1.45 1.36 1.92

ABi 32 3.01 1.40 1.31 2.08

ABi 34 3.14 1.33 1.25 1.94

ABi 38 3.02 1.36 1.27 2.00

ABi 43 3.04 1.34 1.25 1.93

ABi 59 2.85 1.40 1.32 2.17ABi 60 2.93 1.32 1.24 1.92

ABi 67 2.90 1.41 1.32 2.12

ABi 87 2.96 1.42 1.33 2.17

ABi 107 2.96 1.34 1.26 1.91

ABi 149 3.15 1.36 1.28 2.00

ABi 155 3.02 1.35 1.26 1.98

ABi 163 2.95 1.37 1.29 2.07

ABi 166 3.19 1.31 1.21 1.82

ABi 182 2.63 1.36 1.28 1.98

ABi 204 3 05 1 41 1 32 2 12


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Table 4.(Continued).

Specimen

ID

log

Fecundity

logTL logSL logOFBW

ABi 468 3.15 1.32 1.23 1.89

ABi 515 2.76 1.48 1.40 2.37

ABi 520 2.58 1.39 1.29 2.07

ABi 537 2.71 1.39 1.31 2.09

ABi 566 2.59 1.35 1.27 1.98

ABi 604 2.36 1.39 1.30 2.07

ABi 607 2.69 1.34 1.26 1.94

ABi 627 2.64 1.34 1.26 1.97

ABi 678 2.43 1.31 1.24 1.87

ABi 684 2.71 1.41 1.32 2.17

ABi 689 2.96 1.32 1.24 1.84

ABi 698 2.02 1.32 1.24 1.86

ABi 713 2.69 1.45 1.37 2.29

ABi 724 3.20 1.43 1.35 2.16

ABi 733 2.82 1.41 1.33 2.13

ABi 738 2.56 1.34 1.26 1.95

ABi 753 3.03 1.40 1.32 2.11

ABi 766 3.30 1.51 1.43 2.50

ABi 767 3.16 1.45 1.38 2.26

ABi 820 2.70 1.35 1.27 1.96

ABi 848 3.28 1.45 1.36 2.29

ABi 852 3.59 1.42 1.34 2.21ABi 864 3.30 1.37 1.29 1.99

ABi 884 2.97 1.36 1.27 1.93


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Table 4.(Continued).

Specimen

ID

log

Fecundity

logTL logSL logOFBW

ABi 1106 2.89 1.39 1.31 2.08

ABi 1109 2.98 1.35 1.26 1.89

ABi 1125 3.26 1.39 1.31 2.07

ABi 1132 2.74 1.39 1.31 2.00

ABi 1142 2.85 1.39 1.30 1.99

ABi 1146 2.68 1.39 1.29 2.09

ABi 1164 2.75 1.39 1.31 2.00

ABi 1171 3.04 1.51 1.43 2.49

ABi 1181 2.90 1.36 1.28 1.97

ABi 1215 2.94 1.38 1.29 2.03

ABi 1230 3.44 1.41 1.33 2.14

ABi 1232 3.50 1.41 1.33 2.13

ABi 1234 3.14 1.41 1.33 2.17

ABi 1241 2.72 1.40 1.31 2.08

ABi 1263 2.91 1.34 1.26 1.85ABi 1277 2.91 1.35 1.26 1.88

ABi 1280 2.80 1.35 1.27 1.88

ABi 1285 2.70 1.38 1.30 2.07

ABi 1296 2.81 1.33 1.25 1.89

ABi 1303 2.80 1.35 1.26 1.92

ABi 1305 3.03 1.33 1.25 1.90

ABi 1320 2.82 1.31 1.22 1.77ABi 1333 3.13 1.37 1.29 2.05

ABi 1334 3.41 1.44 1.37 2.33


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Table 4. (Continued).

Specimen

ID

log

Fecundity

logTL logSL logOFBW

ABi 1458 3.65 1.51 1.42 2.42

ABi 1464 3.22 1.46 1.38 2.32

ABi 1471 3.55 1.45 1.36 2.28

ABi 1509 2.52 1.39 1.30 2.02

ABi 1520 3.58 1.38 1.29 2.05

ABi 1535 3.63 1.42 1.33 2.21

ABi 1582 3.21 1.40 1.31 2.10

ABi 1583 3.04 1.43 1.34 2.18

ABi 1587 3.16 1.36 1.28 2.06

ABi 1599 3.18 1.39 1.31 2.10

ABi 1605 3.55 1.40 1.32 2.07

ABi 1634 2.34 1.33 1.25 1.94

ABi 1635 3.45 1.41 1.33 2.16

ABi 1642 2.89 1.42 1.34 2.17

ABi 1645 3.21 1.40 1.32 2.10

ABi 1650 3.34 1.46 1.34 2.29

ABi 1651 3.43 1.39 1.31 2.11

ABi 1658 3.14 1.37 1.28 2.07

ABi 1702 3.39 1.39 1.31 2.11

ABi 1726 3.03 1.38 1.29 2.09

ABi 1729 3.22 1.38 1.30 2.05

ABi 1732 3.03 1.40 1.32 2.08ABi 1733 3.34 1.45 1.36 2.27

ABi 1738 3.20 1.34 1.26 1.96


39/60


40/60

Table 5.The summary of the monthly average fecundity and the averages of the independent

variables per month of sampling that were done from October 2009 to September 2010.

Average

Month Fecundity TL SL OFBW logFec. logTL logSL logOFBW

October 800.24 23.71 19.31 94.34 2.90 1.37 1.29 1.97

November 947.69 23.24 19.01 106.51 2.98 1.37 1.28 2.03

December 880.89 25.51 20.84 130.51 2.94 1.41 1.32 2.12

January 686.95 24.13 19.80 122.36 2.84 1.38 1.30 2.09

February 450.49 23.11 19.09 107.46 2.65 1.36 1.28 2.03March 1176.59 24.40 20.29 127.14 3.07 1.39 1.31 2.10

April 1442.56 23.89 19.77 117.48 3.16 1.38 1.30 2.07

May 974.73 24.80 20.21 114.14 2.99 1.39 1.31 2.06

June 1085.96 23.83 19.68 112.64 3.04 1.38 1.29 2.05

July 1932.31 26.76 22.12 168.25 3.29 1.43 1.34 2.23

August 1868.15 24.83 20.46 129.67 3.27 1.40 1.31 2.11

September 1113.21 24.82 20.18 129.62 3.05 1.39 1.30 2.11

Legend: F, fecundity; TL, total length; SL, standard length; OFBW, Ovary free bodyweight


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FIGURES

Figure 1.Gonadosomatic index (GSI) values for each month of sampling for both male

and female populations ofArius dispar.

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

GonadosomaticIndex(%)

Month

Male

Female


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33

Figure 2.The average fecundity per month of Sampling ofArius dispar from October 2009 to September 2010.

0.0000

500.0000

1000.0000

1500.0000

2000.0000

2500.0000


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34

Figure 3.Scatter plot between Total Length and Fecundity for all specimens ofArius disparthat were used in the fecundity study.

1.50

2.00

2.50

3.00

3.50

4.00

1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60

logFecundity

logTotal Length

logFecundity

Linear (logFecundity)


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35

Figure 4.Scatter plot between the fecundity and standard length ofArius dispar for each month of sampling.

1.25

1.75

2.25

2.75

3.25

3.75

4.25

1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50

logFecundity

logStandard Length

logFecundity



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36

Figure 5. Scatter plot between the fecundity and ovary free body weight of all the samples of Arius dispar for each month of

sampling.

1.50

2.00

2.50

3.00

3.50

4.00

1.60 1.70 1.80 1.90 2.00 2.10 2.20 2.30 2.40 2.50 2.60

lo

gFecundity

logOFBW

logFecundity



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37

Figure 6.Regression between the mean fecundity and mean total length of all samples ofArius disparfor each month of sampling.

y = 6.1366x - 5.4994

R = 0.382

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

1.36 1.37 1.38 1.39 1.40 1.41 1.42 1.43 1.44

logFecundity

logTotal Length

logFecundity



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38

Figure 7. Regression between the mean fecundity and mean standard length of all samples of Arius dispar for each month of

sampling.

y = 6.4351x - 5.3642

R = 0.432

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

1.27 1.28 1.29 1.30 1.31 1.32 1.33 1.34 1.35

logFecundity

logStandard Length

logFecundity



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39

Figure 8.Regression between the mean fecundity and mean ovary free body weight of all samples of Arius disparfor each month of

sampling.

y = 1.7781x - 0.6857

R = 0.393

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

1.95 2.00 2.05 2.10 2.15 2.20 2.25

logFecundity

logOvary Free Body Weight

logFecundity



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Figure 9. Mean standard length of Arius dispar samples collected each month from

October 2009 to September 2010.

0.0

5.0

10.0

15.0

20.0

25.0

StandardLength(SL)

(cm)

Month

Mean Standard Length per Month of

Sampling

SL Mean (M)

SL Mean (F)


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Figure 10. Representative sample of a mature ovary of Arius dispar in the batch of

samples (scale bar = 1 cm).


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Figure 11.Dissected ovary showing several stages of the eggs present inside it (scale bar

= 1 cm).


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Figure 12.View under the microscope of the different sizes and maturation of the eggs


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Legend: TW, Total Weight; WS1, Weight of Subsample 1; WS2, Weight of Subsample 2; WS3, Weight of Subsample 3; WS4, Weight of Subsample 4; WS5,

Weight of Subsample 5; WS6, Weight of Subsample 6; EGS1, Eggs of Subsample 1; EGS2, Eggs of Subsample 2; EGS3, Eggs of Subsample 3; EGS4, Eggs of

Subsample 4; EGS5, Eggs of Subsample 5; EGS6, Eggs of Subsample 6.

44

APPENDIX A

Egg count and ovary section weight of six sections ofArius disparovary samples. Total weight (TW), weight of sub-samples (WS),

egg count per sub-samples (EGS), fecundity and month of collection from October 2009 to September 2010.Specimen ID TW WS1 WS2 WS3 WS4 WS5 WS6 EGS1 EGS2 EGS3 EGS4 EGS5 EGS6 Fecundity Month

ABi 1 0.2173 0.0275 0.0330 0.0259 0.0371 0.0233 0.0354 65 78 51 63 66 69 467.52 October

ABi 2 0.2783 0.0295 0.0447 0.0296 0.0234 0.0190 0.0199 102 80 57 85 59 77 770.73 October

ABi 16 0.1925 0.0233 0.0204 0.0132 0.0260 0.0124 0.0247 57 61 54 74 96 81 678.56 October

ABi 21 0.3875 0.0419 0.0495 0.0303 0.0558 0.0531 0.0473 67 50 49 59 80 40 481.06 October

ABi 27 0.1710 0.0085 0.2040 0.0149 0.0112 0.0176 0.0128 31 73 38 49 74 61 207.23 October

ABi 28 0.6063 0.0445 0.0327 0.0632 0.0796 0.0771 0.0401 81 60 69 76 100 92 859.46 October

ABi 32 0.3290 0.0175 0.0427 0.0312 0.0275 0.0369 0.0380 106 76 93 118 108 104 1027.06 October

ABi 34 0.4056 0.0233 0.0308 0.0456 0.0265 0.0215 0.0579 88 218 119 145 70 53 1367.12 October

ABi 38 0.3555 0.0203 0.0207 0.0347 0.0404 0.0281 0.0330 114 74 74 143 60 54 1041.22 October

ABi 43 0.3455 0.0205 0.0251 0.0186 0.0140 0.0144 0.0431 69 50 92 139 44 39 1102.44 October

ABi 59 0.9470 0.0698 0.0280 0.0841 0.1105 0.0496 0.0779 52 60 62 62 39 39 708.16 November

ABi 60 0.2867 0.0350 0.0280 0.0231 0.0184 0.0160 0.0342 78 95 61 75 83 66 848.80 November

ABi 67 0.3167 0.0335 0.0335 0.0447 0.0315 0.0365 0.0305 70 71 58 143 110 80 801.54 November

ABi 87 0.4922 0.0936 0.0936 0.0382 0.0268 0.0466 0.0470 152 101 97 72 82 135 909.53 November

ABi 107 0.5701 0.0443 0.0443 0.0450 0.0930 0.0807 0.0457 108 100 71 90 93 97 902.79 November

ABi 149 0.4560 0.0250 0.0250 0.0458 0.0573 0.0376 0.0341 103 142 131 97 90 131 1407.76 November

ABi 155 0.4525 0.0416 0.0416 0.0479 0.0451 0.0786 0.0602 148 147 40 125 130 137 1044.34 NovemberABi 163 0.4860 0.0334 0.0563 0.0369 0.0380 0.0310 0.0264 68 104 41 49 80 61 882.24 November

ABi 166 0.3363 0.0145 0.0267 0.0354 0.0336 0.0435 0.0257 166 207 79 133 148 89 1540.91 November

ABi 182 0.3214 0.0424 0.0371 0.0313 0.0297 0.0285 0.0496 60 46 46 31 37 73 430.79 November


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45

Appendix A(Continued).

Specimen ID TW WS1 WS2 WS3 WS4 WS5 WS6 EGS1 EGS2 EGS3 EGS4 EGS5 EGS6 Fecundity Month

ABi 204 0.8628 0.0313 0.145 0.0774 0.0486 0.0992 0.077 141 121 69 132 93 64 1117.94 December

ABi 216 0.4029 0.0357 0.0724 0.0445 0.0501 0.0414 0.0475 98 97 90 127 67 78 769.60 December

ABi 229 0.5356 0.0476 0.0567 0.0898 0.078 0.0648 0.0483 71 86 106 67 59 73 642.39 December

ABi 250 0.3804 0.0396 0.0404 0.0527 0.0406 0.0519 0.0402 32 97 64 104 95 100 705.19 December

ABi 259 0.6957 0.0382 0.0464 0.1048 0.0442 0.0769 0.1728 82 97 77 65 68 91 690.95 December

ABi 262 0.3977 0.0473 0.0463 0.0376 0.0317 0.0498 0.036 134 104 68 146 104 59 983.46 December

ABi 282 0.5251 0.0874 0.0573 0.0425 0.0487 0.0672 0.0544 137 65 26 111 89 73 735.87 December

ABi 300 0.5009 0.0601 0.0442 0.0452 0.0437 0.059 0.062 129 91 93 110 128 156 1127.10 December

ABi 309 1.1336 0.0806 0.0648 0.0752 0.0481 0.0578 0.1036 66 46 72 45 102 139 1238.76 December

ABi 313 0.3406 0.0261 0.0259 0.0362 0.0302 0.0615 0.0366 85 76 83 97 70 96 797.62 December

ABi 435 0.5015 0.0425 0.0412 0.0794 0.0326 0.0898 0.0568 31 21 30 15 56 30 268.11 January

ABi 440 0.4947 0.0204 0.0410 0.0340 0.0213 0.0939 0.0535 326 72 25 130 74 20 1211.93 January

ABi 443 0.7439 0.0303 0.0885 0.0716 0.0682 0.0739 0.1124 55 89 56 95 91 43 717.31 January

ABi 456 0.3858 0.0467 0.0399 0.0427 0.0468 0.0497 0.0478 73 70 40 52 26 35 417.39 January

ABi 462 0.7645 0.0249 0.0681 0.0816 0.0538 0.0576 0.0853 73 110 35 122 102 34 980.08 January

ABi 464 0.5782 0.1332 0.0606 0.0599 0.0460 0.1002 0.0458 110 22 50 32 39 55 399.56 January

ABi 468 0.5964 0.0239 0.1112 0.0852 0.0249 0.0478 0.0922 375 46 28 402 34 20 1401.20 January

ABi 515 0.6120 0.0740 0.1124 0.0607 0.0607 0.0821 0.0683 77 104 51 65 63 70 574.33 January

ABi 520 0.4512 0.0552 0.0556 0.0400 0.0344 0.0619 0.0974 49 48 32 51 71 41 382.44 January

ABi 537 0.3933 0.0596 0.0488 0.0517 0.0795 0.0543 0.0734 72 81 22 84 130 94 517.19 January

ABi 566 0.5481 0.1159 0.0471 0.0381 0.1013 0.0772 0.0756 127 25 57 64 28 20 386.51 February

ABi 604 0.7783 0.0481 0.1234 0.1016 0.0619 0.1296 0.0948 43 45 13 28 18 19 230.96 FebruaryABi 607 0.5504 0.0843 0.0853 0.0573 0.0607 0.0371 0.1333 81 66 63 81 60 60 493.92 February

ABi 627 1.1650 0.1866 0.0671 0.1535 0.0234 0.1696 0.1418 58 70 29 58 11 53 438.05 February

ABi 678 0.3286 0.0401 0.0487 0.0200 0.0489 0.0396 0.0214 18 45 11 25 75 6 270.45 February

ABi 684 0.6021 0.0600 0.0542 0.0492 0.0637 0.1040 0.0891 73 66 34 70 57 55 508.68 February


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46



ABi 689 0.3099 0.0182 0.0312 0.0250 0.0381 0.0183 0.0389 121 106 73 49 61 84 902.12 February

ABi 698 0.3473 0.0382 0.0333 0.0462 0.0948 0.0458 0.0708 31 18 20 15 3 12 104.47 February

ABi 713 1.1418 0.0179 0.1464 0.0817 0.0241 0.1449 0.1274 20 15 6 167 17 6 486.28 March

ABi 724 2.1661 0.0138 0.1305 0.2132 0.0209 0.2200 0.4418 190 78 4 424 43 16 1572.20 March

ABi 733 23.5300 0.2207 1.9562 2.5163 0.0234 2.6473 2.1529 56 50 7 125 11 20 665.09 March

ABi 738 6.5497 0.1018 0.8404 1.3734 0.0370 1.9880 0.8192 19 66 14 81 76 32 365.58 March

ABi 753 2.4825 0.0142 0.2939 0.2005 0.0187 0.3080 0.1877 257 35 34 74 34 3 1060.46 March

ABi 766 3.3485 0.0255 0.4150 0.1318 0.0182 0.1214 0.1579 190 38 4 261 20 4 1990.31 March

ABi 767 23.0100 0.0498 2.8654 1.1765 0.0327 3.4503 1.0970 289 24 3 217 11 6 1459.40 March

ABi 820 1.5174 0.0947 0.3113 0.1590 0.0674 0.2062 0.1229 71 50 4 31 133 32 506.59 March

ABi 848 9.0830 0.0660 0.6668 0.7480 0.0612 1.0100 1.0726 463 16 5 255 13 8 1904.51 April

ABi 852 14.3990 0.0304 1.6278 1.1596 0.0198 1.3004 1.2353 237 51 5 210 954 1 3907.05 April

ABi 864 10.2322 0.0489 0.8212 0.8563 0.0341 1.0074 0.9827 318 13 35 311 32 23 1997.01 April

ABi 884 1.8680 0.0054 0.1420 0.3146 0.0203 0.1102 0.0906 15 17 14 242 29 23 929.76 April

ABi 890 2.0382 0.1140 0.2200 0.1649 0.0582 0.3477 0.2221 70 38 4 77 36 3 412.38 April

ABi 893 1.2525 0.0139 0.0342 0.1268 0.0161 0.1422 0.2275 171 36 55 146 23 12 989.58 April

ABi 915 2.2733 0.0482 0.1608 0.1286 0.0728 0.1958 0.1196 21 54 2 30 26 3 425.97 April

ABi 916 1.4641 0.0225 0.0891 0.0966 0.0135 0.1122 0.0578 48 24 7 181 4 4 1001.73 April

ABi 936 1.1883 0.0191 0.0710 0.1430 0.0205 0.1093 0.1623 153 13 8 125 9 6 710.45 April

ABi 953 16.3096 0.0206 1.0502 0.8732 0.0318 0.2011 0.7323 152 31 3 160 36 1 2147.18 April

ABi 972 3.6095 0.0249 0.4171 0.3901 0.1564 0.1312 0.3629 56 31 16 120 24 5 613.51 May

ABi 978 2.4717 0.0273 0.2140 0.0830 0.0183 0.2113 0.1363 385 76 14 279 110 10 3129.91 MayABi 992 0.7065 0.0858 0.0587 0.0869 0.0444 0.0957 0.0617 119 168 70 58 120 75 994.84 May

ABi 1012 0.9866 0.1673 0.0740 0.0807 0.1981 0.1428 0.1791 98 81 67 61 66 62 509.70 May

ABi 1025 0.6859 0.0801 0.0729 0.0891 0.0773 0.0699 0.1386 45 58 47 66 41 56 406.68 May

ABi 1033 3.3360 0.0230 0.1692 0.3746 0.0305 0.3128 0.1961 218 7 8 301 15 8 1679.76 May


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47



ABi 1047 1.5930 0.0277 0.0902 0.0945 0.0226 0.2282 0.2055 40 21 15 53 13 6 352.57 May

ABi 1075 1.9613 0.0248 0.1397 0.1029 0.0263 0.1492 0.1205 222 21 2 150 17 23 1514.32 May

ABi 1081 0.7463 0.1394 0.0813 0.0631 0.0884 0.1106 0.0558 135 59 76 143 105 138 908.97 May

ABi 1100 0.6805 0.0630 0.0483 0.0625 0.0855 0.0906 0.0570 93 76 41 37 70 41 598.72 May

ABi 1106 0.7131 0.0352 0.1230 0.1508 0.0457 0.1127 0.1020 150 69 62 223 32 88 781.48 May

ABi 1109 17.1175 0.0443 0.5035 1.9106 0.0236 1.1383 1.1151 93 29 8 108 19 9 961.54 May

ABi 1125 18.5312 0.1268 1.0886 1.1685 0.0482 1.9889 1.5806 400 15 17 138 7 10 1812.49 May

ABi 1132 0.8257 0.1841 0.1079 0.1168 0.0857 0.0499 0.0448 73 77 59 74 66 46 553.55 May

ABi 1142 0.9431 0.1186 0.1383 0.1248 0.0488 0.1557 0.0983 202 82 74 68 65 19 702.67 May

ABi 1146 0.7382 0.0900 0.1285 0.0494 0.0743 0.1151 0.1052 117 75 49 23 62 42 482.95 May

ABi 1164 0.8567 0.0186 0.1634 0.1676 0.1105 0.1011 0.0737 57 65 72 136 65 25 566.73 May

ABi 1171 1.5238 0.0200 0.1334 0.1023 0.0137 0.1871 0.1303 108 10 10 171 116 12 1108.83 June

ABi 1181 0.2545 0.0267 0.0473 0.0394 0.0393 0.0396 0.031 250 73 98 103 97 79 797.81 June

ABi 1215 1.1285 0.0296 0.0711 0.1256 0.0339 0.1104 0.1772 157 9 8 200 34 11 863.16 June

ABi 1230 3.6071 0.0394 0.3281 0.2970 0.0280 0.2169 0.2536 401 46 2 417 8 7 2732.46 June

ABi 1232 17.2730 0.0594 0.7897 1.4344 0.0873 1.0194 0.7930 300 10 7 426 11 7 3142.27 June

ABi 1234 2.1692 0.0260 0.1568 0.1984 0.0207 0.0992 0.2239 209 46 8 159 27 8 1367.34 June

ABi 1241 0.4283 0.0837 0.0703 0.055 0.0392 0.0758 0.0606 134 78 62 77 88 37 530.09 June

ABi 1263 0.2605 0.0214 0.031 0.0285 0.0237 0.0166 0.0347 52 57 75 67 94 137 805.39 June

ABi 1277 0.3004 0.061 0.06 0.0626 0.0239 0.0307 0.041 268 132 55 105 65 129 811.25 June

ABi 1280 0.316 0.0426 0.0595 0.0436 0.0333 0.0483 0.0341 50 59 44 169 141 59 631.03 June

ABi 1285 0.4931 0.0372 0.0529 0.0422 0.0376 0.0694 0.0635 61 39 47 70 58 33 501.57 JuneABi 1296 0.2389 0.0098 0.0316 0.0481 0.0387 0.0346 0.0337 85 63 184 56 79 64 645.58 June

ABi 1303 0.3871 0.0265 0.055 0.0404 0.08 0.0278 0.0336 50 71 66 80 59 102 629.24 June

ABi 1305 0.4292 0.0405 0.0441 0.0425 0.0234 0.0387 0.0514 65 102 98 104 99 126 1059.62 June

ABi 1320 0.4578 0.016 0.0732 0.0476 0.0128 0.0438 0.0735 57 100 65 45 68 52 663.80 June


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48



ABi 1333 1.4648 0.0178 0.1598 0.2103 0.0118 0.0800 0.0439 249 18 16 99 89 16 1362.41 July

ABi 1334 18.0215 0.0526 1.6365 0.6169 0.0471 0.6302 0.8678 254 30 10 211 30 10 2550.37 July

ABi 1346 3.0136 0.0261 0.3635 0.2561 0.0476 0.3995 0.3213 130 38 15 255 82 6 1120.96 July

ABi 1350 7.9084 0.0603 0.5042 0.4168 0.0214 1.1823 0.6813 707 41 2 124 28 14 2527.33 July

ABi 1356 9.7968 0.0807 1.1048 1.1620 0.0200 1.5240 0.6312 320 225 25 145 28 3 1615.94 July

ABi 1375 15.9236 0.0757 1.6599 1.7481 0.0494 3.0640 1.8605 368 66 36 153 32 21 1272.74 July

ABi 1378 4.7902 0.0343 0.7277 0.3550 0.0210 0.3605 0.3781 230 7 8 196 55 27 1335.01 July

ABi 1394 8.8545 0.0332 0.5727 0.5616 0.0175 1.0412 1.0949 324 75 9 132 86 25 1735.65 July

ABi 1397 7.5089 0.0744 0.8064 0.7608 0.0650 0.7443 0.7390 464 68 17 664 51 18 3017.78 July

ABi 1401 4.0516 0.0205 0.2535 0.4161 0.0293 0.7636 0.7703 318 65 19 510 18 21 1709.97 July

ABi 1417 6.9939 0.0609 1.0296 0.8439 0.0481 0.6337 0.7460 478 58 19 277 61 35 1930.38 July

ABi 1421 2.7322 0.0107 0.2767 0.2670 0.0434 0.2478 0.2961 302 19 25 315 7 14 1632.09 July

ABi 1423 1.4170 0.0182 0.0951 0.1249 0.0234 0.1062 0.1382 72 45 19 19 9 13 495.67 July

ABi 1427 12.3830 0.0670 1.0570 1.8648 0.0645 1.0067 1.0156 210 45 12 203 42 1 1251.57 July

ABi 1440 5.8885 0.0883 1.0652 0.4910 0.1053 0.4591 0.5561 239 170 13 99 33 11 1203.26 July

ABi 1447 10.6000 0.0596 0.0865 0.8338 0.0325 1.1025 1.4103 204 27 4 327 11 14 1765.06 July

ABi 1451 16.4757 0.0484 0.7654 1.9260 0.0479 0.6057 0.6610 411 79 13 419 55 3 3982.39 July

ABi 1456 2.2147 0.0733 0.3290 0.1100 0.0510 0.2401 0.3253 7 36 4 100 29 15 374.77 July

ABi 1458 7.2410 0.0596 0.3329 0.5492 0.0366 0.4660 0.2680 661 96 8 220 66 12 4495.23 July

ABi 1464 23.7295 0.0374 1.9429 2.9312 0.0283 2.8498 2.1416 318 30 15 294 27 6 1648.68 July

ABi 1471 23.1272 0.0558 0.4931 0.8984 0.0689 1.6747 1.6217 199 107 30 365 27 11 3551.30 July

ABi 1509 1.6624 0.0272 0.1615 0.1561 0.0326 0.2330 0.1844 44 16 13 52 18 14 328.38 AugustABi 1520 8.1516 0.0488 0.4210 0.0497 0.0545 0.4890 0.4062 333 27 32 223 58 10 3789.51 August

ABi 1535 27.5612 0.1850 1.0575 1.2027 0.1030 1.7158 1.4196 515 90 15 160 64 33 4252.79 August

ABi 1582 20.1860 0.0185 0.7372 2.0954 0.0723 0.9454 0.5940 100 36 16 178 18 11 1623.82 August

ABi 1583 4.7400 0.0142 0.2743 0.2729 0.0567 0.1761 0.4102 25 39 15 35 150 14 1094.09 August


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ABi 1587 5.9217 0.0757 0.2881 0.0609 0.0208 1.3378 0.8194 280 52 26 200 71 7 1447.04 August

ABi 1599 1.0256 0.0094 0.0690 0.0565 0.0196 0.0893 0.0529 309 34 15 55 18 7 1514.03 August

ABi 1605 2.6166 0.0630 0.3123 0.1844 0.0457 0.2440 0.1534 810 27 14 445 24 25 3509.54 August

ABi 1634 2.9310 0.2505 0.2233 0.8774 0.0189 0.4428 0.8210 34 18 16 18 106 6 220.33 August

ABi 1635 4.5045 0.0361 0.2718 0.1574 0.0845 0.3444 0.2619 117 19 13 540 13 17 2801.43 August

ABi 1642 0.9111 0.0243 0.0642 0.0518 0.0228 0.0410 0.0256 32 56 28 29 37 15 781.40 August

ABi 1645 17.9300 0.0447 1.4092 1.0256 0.0641 1.4874 1.9417 142 123 55 206 4 6 1609.07 August

ABi 1650 32.7520 0.2559 1.7845 0.7956 0.0608 2.4075 1.1173 130 40 30 200 18 11 2188.02 August

ABi 1651 12.0924 0.0519 0.3582 1.3307 0.0357 0.7607 1.3751 205 325 18 256 38 20 2664.33 August

ABi 1658 8.0535 0.0300 0.7489 0.8958 0.0321 0.6331 0.7121 266 36 11 174 18 21 1387.99 August

ABi 1702 17.9347 0.0794 0.7223 0.9547 0.1298 1.2791 4.2675 361 32 22 456 121 23 2449.11 August

ABi 1726 2.6555 0.0283 0.1385 0.0980 0.0239 0.2560 0.3062 170 14 33 97 17 16 1082.92 August

ABi 1729 6.7724 0.0436 0.7467 0.6571 0.0324 0.3969 1.7362 404 37 11 370 43 22 1662.69 August

ABi 1732 17.8378 0.0351 0.9875 2.2354 0.0646 2.1056 1.7443 86 55 10 183 67 26 1061.94 August

ABi 1733 4.9892 0.0191 0.2274 0.2559 0.0434 0.5317 0.3799 390 8 24 175 26 10 2166.98 August

ABi 1738 5.6285 0.0160 0.4332 0.3390 0.3161 0.1834 0.3171 134 21 14 253 23 10 1595.82 August

ABi 1751 25.1125 0.0507 0.6038 2.6893 0.0320 1.3282 2.1250 278 52 18 119 74 14 2040.92 September

ABi 1763 18.3320 0.0090 2.6366 1.8528 0.0214 1.5040 2.0756 92 109 14 202 43 37 1124.90 September

ABi 1766 0.4867 0.06 0.0579 0.0544 0.0381 0.0594 0.1016 130 69 118 160 88 105 878.00 September

ABi 1779 22.4545 0.0546 1.5154 1.0119 0.0361 2.6723 1.5550 101 84 18 61 18 7 948.00 September

ABi 1788 8.6441 0.0085 0.5891 0.7228 0.0146 0.8356 0.9428 111 338 14 230 22 8 2007.35 September

ABi 1801 1.7258 0.0077 0.1180 0.1509 0.0163 0.2494 0.1912 73 68 19 140 21 34 835.25 SeptemberABi 1810 0.2263 0.0167 0.0314 0.0244 0.0335 0.0123 0.0292 83 95 73 90 111 96 840.76 September

ABi 1813 0.6775 0.0763 0.0878 0.1184 0.1226 0.0813 0.09 22 49 49 52 18 37 266.82 September

ABi 1833 11.2070 0.0300 0.9290 0.7327 0.0222 1.3548 1.2506 229 58 19 159 17 9 1273.96 September

ABi 1892 12.4742 1.2086 0.8933 0.6481 0.1519 2.1846 0.9623 13 59 5 58 11 13 327.90 September


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ABi 1899 2.9843 0.0393 0.2226 0.2881 0.0112 0.3599 0.3390 411 19 3 285 17 12 1769.12 September

ABi 1907 2.5939 0.0143 0.2395 0.5786 0.0148 0.4513 0.4107 215 10 22 259 48 24 877.18 September

ABi 1949 0.2273 0.0367 0.02 0.0217 0.0345 0.0261 0.0219 70 44 55 49 88 30 474.66 September

ABi 1963 10.9009 0.0181 0.8457 0.6746 0.0106 1.1936 0.7582 144 62 7 115 14 10 1096.07 September

ABi 1994 7.1620 0.0279 0.6635 0.4571 0.0130 0.8903 0.6580 350 75 16 192 61 39 1937.32 September

ACa 137 14.3797 0.0163 0.8745 1.9432 0.1675 1.1930 2.0223 62 16 17 82 34 15 522.75 March

ACa 141 0.4004 0.0515 0.0553 0.0455 0.0634 0.0573 0.0651 160 82 17 101 75 14 531.73 March

ACa 152 2.1424 0.0278 0.2460 0.1466 0.0245 0.2352 0.2018 96 47 8 62 17 16 597.61 March

ACa 156 1.8202 0.0058 0.4434 0.1671 0.0089 0.1396 0.1498 186 22 44 97 58 8 825.92 March

ACa 163 0.3363 0.0489 0.0407 0.0174 0.0298 0.0521 0.0522 87 87 70 145 50 67 705.80 March

ACa 171 2.8970 0.0232 0.0823 0.2520 0.4863 0.3890 0.3771 215 94 2 45 15 14 692.80 March

ACa 185 0.2928 0.0190 0.0334 0.0618 0.0482 0.0532 0.0282 60 64 55 180 48 24 517.62 March

ACa 193 3.4769 0.0169 0.3670 0.3268 0.0302 0.3297 0.5495 177 30 2 227 19 8 993.65 March

ACa 194 7.2160 0.0397 1.1542 0.9601 0.2000 2.8149 1.0363 188 430 24 19 29 11 815.19 March

ACa 204 12.8717 0.0600 0.3985 1.3000 0.0514 0.5077 1.3190 126 51 14 157 70 5 1497.20 March

ACa 235 2.5050 0.0138 0.1549 0.1747 0.0294 0.4000 0.1039 115 13 8 292 22 25 1357.22 March

ACa 263 8.2457 0.0435 0.7916 0.7374 0.0230 0.7932 0.6778 193 46 3 111 48 10 1105.16 March

ACa 276 5.1021 0.0138 0.6006 0.6537 0.0106 0.5470 0.4670 87 57 8 197 70 6 945.78 March

ACa 279 2.2336 0.0215 0.1136 0.4055 0.0227 0.3291 0.2626 195 11 9 252 40 14 1007.54 March

ATa 160 0.4480 0.0415 0.0641 0.0544 0.0387 0.0631 0.0295 92 33 9 95 31 25 438.31 February

ATa 17 0.4492 0.0377 0.0575 0.0527 0.1108 0.0383 0.0191 43 45 34 26 16 4 238.74 February

ATa 181 0.8824 0.1380 0.0977 0.0752 0.2515 0.1332 0.0791 69 48 37 110 71 51 439.66 FebruaryATa 186 0.6841 0.0387 0.1276 0.0542 0.1109 0.1049 0.0776 52 93 36 66 93 41 507.18 February

ATa 194 15.6954 0.0264 0.9563 0.9160 0.0247 1.2752 1.0020 331 92 14 92 57 10 2226.93 March

ATa 200 8.3928 0.1177 0.2112 0.0710 0.1045 0.0705 0.6670 199 50 35 182 105 37 4108.88 March

ATa 203 15.1704 0.0253 1.7366 0.8945 0.0320 2.5323 2.4096 145 63 9 161 80 17 944.38 March


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ATa 274 9.2736 0.1000 0.4540 0.1041 0.1035 0.8000 0.0895 231 20 27 240 43 60 3487.92 March

ATa 37 0.7890 0.0761 0.0455 0.0895 0.0977 0.1139 0.0793 35 44 135 156 80 45 778.00 February

ATa 39 0.7658 0.0966 0.0671 0.0753 0.1167 0.0822 0.1069 68 56 48 84 105 20 535.55 February

ATa 76 0.2289 0.0346 0.0485 0.0335 0.0318 0.0134 0.0141 54 136 80 52 48 61 560.86 February

ATa 93 0.5915 0.0097 0.1265 0.1114 0.0153 0.1781 0.1040 90 45 50 100 42 18 374.44 February

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