Maturity and Fecundity of Walleyes from the Eastern and Western Basins of Lake Erie

Wolfert, David R.

doi:10.1139/f69-171

Cited by 32 publications

(27 citation statements)

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“…5). For example, specific fecundity for older maturing walleyes from Lake of the Woods was 15 (data from Carlander 1945) and 144 for the faster growing and earlier maturing walleyes in the western basin of Lake Erie (data from Wolfert 1969). Both values are within the range hypothesized in Fig.…”

Section: Although Planted Walleyes Have Been In Casa Blancasupporting

confidence: 59%

“…There is some evidence that younger fish, many immature, do not travel as great a distance as the older members of the stock (Wolfert 1963;Priegel 1970;Winterton 1975). WoIfert ( 1963) found in Lake Erie that more walleyes tended to travel greater distances as their ages increased, and Priegel (1970) found in both the Fox and Wolf rivers in Wisconsin that younger age-groups sf walleyes did not migrate as far upstream as did older age-groups.…”

Section: Although Planted Walleyes Have Been In Casa Blancamentioning

confidence: 99%

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Variation among Stocks of Walleye (Stizostedion vitreum vitreum): Management Implications

Colby¹,

Nepszy²

1981

Can. J. Fish. Aquat. Sci.

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NEPSZY. 1981. Variation among stmks of walleye (Stizostedkorz vitreum virrelarat): management implications. Can. J. Fish. Aquat. Sci. 38: 1814-1831.Identification of races, strains, or subpopulations of walleye (StizostecSPorz \'itreurn vitrcwn) by examining differences in the morphology or biochemistry has met with relatively limited success. Although there is some genotypic evidence for stock discreteness, most evidence points to differences (age, growth, fecundity, maturity) which are believed to be phenotypic expressions induced by the environment. Thus, in the absence of clear genetic evidence. the biological differences are the reliable means of identifying and managing walleye stocks.Walleye populations are spatially distinct, varying greatly in their rate of growth, rate of maturity. and longevity throughout their distributional range. Any genotypic expression of these population characteristics would probably bc masked by environmental influences. There is no concrete evidence that differences in growth, age to maturity. fecundity, and longevity among walleyes are inheritable. The possibility of southern walleye populations being obligative rivcrinc spawners suggests genetic differences. but this needs to be substantiated.Some of the physiological variables used to delineate thc responses of stocks to their environment can be useful as management tools to measure their responses to various disturbances, for example, exploitation and habitat modification. Measurement of specific fcc~~ndity indicates the relative ability of species to replace themselves. Measurements of mean age of the catch and age of onset of sexual maturity provide information used in protecting the brood stock and rate of maturity indices are more recent examples of these management initiatives.The trend in time responses (incan age, age to maturity. catch per unit effort, etc.) to exploitation of walleye stocks in the Great Lakes and larger inland lakes illustrate the appropriateness of monitoring these variables. Age to maturity. mean age of the catch, and fecundity will also be useful variables in determining the compensatory reserve to population reduction among walleye stocks inhabiting various energy and nutrient regimes. Using examples of heavily exploited walleye populations, we have made an initial attempt to show the degree of compensation in different energy regimes. A crisis curve is given to warn when varic~us walleye stocks are in danger of collapse due to commercial overexploitation. . 198 1. Variation among stocks of walleye (Stizostedion vitrertraz vitreum): management implications. Can. J. Fish. Aquat. Sci. 38: 1814-1831.L'identification de races. lignCes ou sous-populations de dorks jaunes par examcn de diffkrences morphologiques ou biochimiques a connu un succes relativenaent limit6. Bicn 'This paper fornms part of the

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Section: Although Planted Walleyes Have Been In Casa Blancasupporting

confidence: 59%

Section: Although Planted Walleyes Have Been In Casa Blancamentioning

confidence: 99%

Variation among Stocks of Walleye (Stizostedion vitreum vitreum): Management Implications

Colby¹,

Nepszy²

1981

Can. J. Fish. Aquat. Sci.

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“…Body Wolfert 1969Wolfert , 1977 Walleye 213 371 454 513 563 607 649 683 722 760 Hile 1954 Walleye 163 305 414 480 541 582 617 645 668 Priegel 1969 Walleye 152 257 338 394 439 480 511 536 Eschmeyer 1950 Walleye 125 239 315 368 414 455 480 503 518 533 Smith and Pycha 1961 Walleye 142 211 267 310 345 379 401 424 452 Note: All body lengths are total body length. Table A1.…”

Section: Appendix Amentioning

confidence: 99%

A stage-explicit expression of the von Bertalanffy growth model for understanding age at first reproduction of Great Lakes fishes

He¹,

Stewart²

2002

Can. J. Fish. Aquat. Sci.

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An initial annual growth rate of body length and its regular decrease with increasing age has general linkages with age at first reproduction (t R ). We clarify their combinations and develop predictive functions. We use a complete Ford-Walford plot with yearling size (L 1 ) on the y axis and show a slope transition between the relative yearling growth rate (ρ y ) and the Ford-Walford slope (ρ). The three stage-specific variables define a complete bodylength trajectory over ages, including all von Bertalanffy growth parameters and the Ford-Walford intercept (L int ). The difference between asymptotic length (L inf ) and yearling length is growth potential after the first annulus. Yearling growth is a transition period, so growth potential can be adjusted as ρL inf or L inf -L int . Changes in the three life-stage variables have contrasting effects on growth potential and von Bertalanffy growth parameters, so they have contrasting relations with t R . For most invertebrate-eating fishes in the Laurentian Great Lakes, dominant changes in growth trajectories were reflected in ρ, so t R was predicted by the von Bertalanffy growth coefficient, K. For walleye (Stizostedion vitreum) populations around the Great Lakes, dominant changes in growth trajectories were from yearling size or yearling growth, so t R was predicted using L int . Our results have clear implications for understanding fish population dynamics.Résumé : Le taux initial de croissance annuelle en taille et sa décroissance graduelle avec l'âge sont en relation géné-rale avec l'âge à la première reproduction (t R ). Nous mettons en lumière les différentes combinaisons de ces liens et développons des fonctions prédictives. Nous utilisons un graphique complet de Ford-Walford avec la taille des poissons de 1 an (L 1 ) en ordonnée et démontrons l'existence d'une transition de pente entre le taux relatif de croissance des poissons de 1 an (ρ y ) et la pente de Ford-Walford (ρ). Les trois variables spécifiques au stade définissent la trajectoire complète de la taille au cours de la vie, y compris les paramètres de croissance de Bertalanffy et le point de croisement de Ford-Walford (L int ). La différence entre la longueur asymptotique (L inf ) et la longueur des poissons de 1 an représente le potentiel de croissance après le premier anneau de croissance. Comme la croissance des poissons de 1 an représente une période de transition, le potentiel de croissance peut donc être ajusté en fonction de (ρL inf ) ou de (L inf -L int ). Les variations des trois variables du cycle biologique ont des effets différents sur le potentiel de croissance et les paramètres de von Bertalanffy, et, par conséquent, sur t R . Chez la plupart des poissons des Grands-Lacs qui se nourrissent d'invertébrés, les changements principaux dans les trajectoires de croissance se reflètent dans les pentes de Ford-Walford et ainsi t R peut être prédit à partir de K. Chez les populations de dorés (Stizostedion vitreum) de la région des Grands-Lacs, les changements importants dans les trajectoires d...

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“…Individual females normally spawn in one night (Ellis and Giles 1965). The number of eggs produced and released is linearly related to body size within a population and averages 60 OOO/kg (Stickney 1986), but ranges from 28000 to 120000/kg between populations (Smith 1941;Wolfert 1969). O'Donnell(l938) observed that 200-300 eggs were released during each spawning act, with the acts repeated at 5-min intervals.…”

Section: Reproductive Biologymentioning

confidence: 99%

Reproduction and spawning in walleye (Stizostedion vitreum)

Malison

Held

1996

J Appl Ichthyol

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The walleye (Stizostedion viweum) is a North American mesothermal freshwater teleost that spawns once each year in early spring. Walleye spawn randomly over suitable substrates and d o not provide any parental protection for eggs or juveniles. The majority of gonadal recrudescence in adult male walleye occurs in the autumn, and walleye testes contain large numbers of viable spermatozoa from late autumn through the spawning season. Adult female walleye exhibit group synchronous ovarian developmcnt, and similar to males, the majority of gonadal development occurs in the autumn. Evidence suggests that 17a,20P-dihydroxyprogesterone is the maturational steroid in this species. Simple environmental manipulations coupled with injections of human chorionic gonadotropin can be used to advance spawning in walleye by up to 12 weeks. To spawn and propagate walleye, hatcheries in North America use a wide range of methods that have been developed to meet the needs and conditions present at specific facilities. IntroductionFor many years, walleye (Stizostedion uitreum) have been propagated extensively to support and augment both recreational and commercial fisheries in North America (Conover 1986). More recently, this species has been evaluated for its potential for commercial food fish aquaculture in this region. This paper will review the reproductive biology of walleye, methods to induce and control spawning, and procedures commonly used to fertilize and incubate eggs.

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Maturity and Fecundity of Walleyes from the Eastern and Western Basins of Lake Erie

Cited by 32 publications

References 1 publication

Variation among Stocks of Walleye (Stizostedion vitreum vitreum): Management Implications

Variation among Stocks of Walleye (Stizostedion vitreum vitreum): Management Implications

A stage-explicit expression of the von Bertalanffy growth model for understanding age at first reproduction of Great Lakes fishes

Reproduction and spawning in walleye (Stizostedion vitreum)

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