Treffer: Integrating Analytic Hierarchy Process and Weighted Goal Programming to Define Economic Traits and Consensus Desired Genetic Gains for the Russian Sturgeon (Acipenser gueldenstaedtii) Breeding Objective.
Title:
Integrating Analytic Hierarchy Process and Weighted Goal Programming to Define Economic Traits and Consensus Desired Genetic Gains for the Russian Sturgeon (Acipenser gueldenstaedtii) Breeding Objective.
Authors:
Rahbar M; Department of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran., Safari R; Department of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran., Perez-Rostro CI; Genetic Improvement and Aquaculture Production Lab, Instituto Tecnológico de Boca del Rio, Boca del Rio, Mexico.
Source:
Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie [J Anim Breed Genet] 2025 Oct 22. Date of Electronic Publication: 2025 Oct 22.
Publication Model:
Ahead of Print
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Blackwell Country of Publication: Germany NLM ID: 100955807 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1439-0388 (Electronic) Linking ISSN: 09312668 NLM ISO Abbreviation: J Anim Breed Genet Subsets: MEDLINE
Imprint Name(s):
Publication: 1994- : Berlin : Blackwell
Original Publication: Hamburg : P. Parey, c1985-
Original Publication: Hamburg : P. Parey, c1985-
References:
Bestin, A., O. Brunel, A. Malledant, et al. 2021. “Genetic Parameters of Caviar Yield, Color, Size and Firmness Using Parentage Assignment in an Octoploid Fish Species, the Siberian Sturgeon Acipenser baerii.” Aquaculture 540: 736725.
Bledsoe, G. E., C. D. Bledsoe, and B. Rasco. 2003. “Caviars and Fish Roe Products.” Critical Reviews in Food Science and Nutrition 43: 317–356.
Brascamp, E. W. 1978. Methods on Economic Optimization of Animal Breeding Plans. Rapport B‐134. Instituut voor Veeteeltkundig Onderzoek.
Chambers, R. C., and W. C. Leggett. 1987. “Size and Age at Metamorphosis in Marine Fishes: An Analysis of Lab‐Reared Winter Flounder Pseudopleuronectes americanus With a Review of Variation in Other Species.” Canadian Journal of Fisheries and Aquatic Sciences 44: 1936–1947.
Dammerman, K. J., J. P. Steibel, and K. T. Scribner. 2015. “Genetic and Environmental Components of Phenotypic and Behavioral Trait Variation During Lake Sturgeon (Acipenser fulvescens) Early Ontogeny.” Environmental Biology of Fishes 98: 1659–1670.
Doroshov, S. I., G. P. Moberg, and J. P. Van Eenennaam. 1997. “Observations on the Reproductive Cycle of Cultured White Sturgeon, Acipenser transmontanus.” Environmental Biology of Fishes 48: 265–278.
Falconer, D. S., and T. F. C. Mackay. 1996. Introduction to Quantitative Genetics. 4th ed. Longman, Essex.
Fopp‐Bayat, D., T. Ciemniewski, and B. I. Cejko. 2022. “Embryonic Development and Survival of Siberian Sturgeon× Russian Sturgeon (Acipenser baerii × Acipenser gueldenstaedtii) Hybrids Cultured in a RAS System.” Animals 13, no. 1: 42.
Forabosco, F., R. Bozzi, P. Boettcher, F. Filippini, P. Bijma, and J. A. M. Van Arendonk. 2005. “Relationship Between Profitability and Type Traits and Derivation of Economic Values for Reproduction and Survival Traits in Chianina Beef Cows.” Journal of Animal Science 83: 2043–2051.
Gille, D. A., J. P. Van Eenennaama, T. R. Famulaa, et al. 2017. “Finishing Diet, Genetics, and Other Culture Conditions Affect Ovarian Adiposity and Caviar Yield in Cultured White Sturgeon (Acipenser transmontanus).” Aquaculture 474: 121–129.
Gizaw, S., H. Komen, and J. A. M. van Arendonk. 2010. “Participatory Definition of Breeding Objectives and Selection Indexes for Sheep Breeding in Traditional Systems.” Livestock Science 128: 67–74.
González‐Pachón, J., and C. Romero. 1999. “Distance‐Based Consensus Methods: a Goal Programming Approach.” Omega 27: 341–347.
Hardy, R. S., and M. K. Litvak. 2004. “Effects of Temperature on the Early Development, Growth, and Survival of Shortnose Sturgeon, Acipenser brevirostrum, and Atlantic Sturgeon, Acipenser oxyrhynchus, Yolk‐Sac Larvae.” Environmental Biology of Fishes 70: 145–154.
Iranian Fisheries Organization. 2023. Salnameh Amari Sazman Shilat Iran 1398–1402 [Statistical Yearbook of Iranian Fisheries Organization 2019–2023]. Planning and Budget Office, Iranian Fisheries Organization.
Kariuki, C. M., J. A. M. van Arendonk, A. K. Kahi, and H. Komen. 2017. “Multiple Criteria Decision‐Making Process to Derive Consensus Desired Genetic Gains for a Dairy Cattle Breeding Objective for Diverse Production Systems.” Journal of Dairy Science 100: 1–12.
Linares, P., and C. Romero. 2002. “Aggregation of Preferences in an Environmental Economics Context: a Goal‐Programming Approach.” Omega 30, no. 2: 89–95.
Manyise, T., R. K. Basiita, C. M. Mwema, et al. 2024. “Farmer Perspectives on Desired Catfish Attributes in Aquaculture Systems in Nigeria. An Exploratory Focus Group Study.” Aquaculture 588: 740911.
Omasaki, S., J. van Arendonk, A. Kahi, and H. Komen. 2016. “Defining a Breeding Objective for Nile Tilapia That Takes Into Account the Diversity of Smallholder Production Systems.” Journal of Animal Breeding and Genetics 133, no. 5: 404–413.
Ovissipour, M., H. M. Al‐Qadiri, X. Lu, et al. 2015. “The Effect of White Sturgeon (Acipenser transmontanus) Ovarian Fat Deposition on Caviar Yield and Nutritional Quality: Introducing Image Processing Method for Sturgeon Ovary Fat Determination.” International Aquatic Research 7: 263–272.
Rahbar, M., R. Safari, and C. I. Perez‐Rostro. 2024a. “Defining Breeding Objectives and Estimation Economic Values of Traits for Persian Sturgeon (Acipenser persicus).” Aquaculture Reports 39: 102404.
Rahbar, M., R. Safari, and C. I. Perez‐Rostro. 2024b. “Defining Desired Genetic Gains for Pacific White Shrimp (Litopenaeus vannamei) Breeding Objective Using Participatory Approaches.” Journal of Animal Breeding and Genetics 141, no. 4: 390–402.
Rahbar, M., R. Safari, and C. I. Perez‐Rostro. 2025. “Using Weighted Goal Programming Model to Achieve Genetic Gain in a Beluga Sturgeon Breeding Program.” Journal of Animal Breeding and Genetics 142, no. 5: 478–486.
Saaty, T. L. 1977. “A Scaling Method for Priorities in Hierarchical Structures.” Journal of Mathematical Psychology 15: 234–281.
Saaty, T. L. 1980. “The Analytic Hierarchy Process. Mcgraw Hill, New York.” Agricultural Economics Review 70: 21236.
Saaty, T. L. 2008. “Decision Making With the Analytic Hierarchy Process.” International Journal of Services Sciences 1: 83–98.
Sae‐Lim, P., H. Komen, A. Kause, et al. 2012. “Defining Desired Genetic Gains for Rainbow Trout Breeding Objective Using Analytic Hierarchy Process.” Journal of Animal Science 90, no. 6: 1766–1776.
Song, H., S. Xu, K. Luo, et al. 2022. “Estimation of Genetic Parameters for Growth and Egg Related Traits in Russian Sturgeon (Acipenser gueldenstaedtii).” Aquaculture 546: 737299.
Thurstone, L. L. 1927. “A Law of Comparative Judgment.” Psychological Review 34: 273–286.
van Arendonk, J. A. M. 1991. “Use of Profit Equations to Determine Relative Economic Value of Dairy Cattle Herd Life and Production From Field Data.” Journal of Dairy Science 74: 1101–1107.
Bledsoe, G. E., C. D. Bledsoe, and B. Rasco. 2003. “Caviars and Fish Roe Products.” Critical Reviews in Food Science and Nutrition 43: 317–356.
Brascamp, E. W. 1978. Methods on Economic Optimization of Animal Breeding Plans. Rapport B‐134. Instituut voor Veeteeltkundig Onderzoek.
Chambers, R. C., and W. C. Leggett. 1987. “Size and Age at Metamorphosis in Marine Fishes: An Analysis of Lab‐Reared Winter Flounder Pseudopleuronectes americanus With a Review of Variation in Other Species.” Canadian Journal of Fisheries and Aquatic Sciences 44: 1936–1947.
Dammerman, K. J., J. P. Steibel, and K. T. Scribner. 2015. “Genetic and Environmental Components of Phenotypic and Behavioral Trait Variation During Lake Sturgeon (Acipenser fulvescens) Early Ontogeny.” Environmental Biology of Fishes 98: 1659–1670.
Doroshov, S. I., G. P. Moberg, and J. P. Van Eenennaam. 1997. “Observations on the Reproductive Cycle of Cultured White Sturgeon, Acipenser transmontanus.” Environmental Biology of Fishes 48: 265–278.
Falconer, D. S., and T. F. C. Mackay. 1996. Introduction to Quantitative Genetics. 4th ed. Longman, Essex.
Fopp‐Bayat, D., T. Ciemniewski, and B. I. Cejko. 2022. “Embryonic Development and Survival of Siberian Sturgeon× Russian Sturgeon (Acipenser baerii × Acipenser gueldenstaedtii) Hybrids Cultured in a RAS System.” Animals 13, no. 1: 42.
Forabosco, F., R. Bozzi, P. Boettcher, F. Filippini, P. Bijma, and J. A. M. Van Arendonk. 2005. “Relationship Between Profitability and Type Traits and Derivation of Economic Values for Reproduction and Survival Traits in Chianina Beef Cows.” Journal of Animal Science 83: 2043–2051.
Gille, D. A., J. P. Van Eenennaama, T. R. Famulaa, et al. 2017. “Finishing Diet, Genetics, and Other Culture Conditions Affect Ovarian Adiposity and Caviar Yield in Cultured White Sturgeon (Acipenser transmontanus).” Aquaculture 474: 121–129.
Gizaw, S., H. Komen, and J. A. M. van Arendonk. 2010. “Participatory Definition of Breeding Objectives and Selection Indexes for Sheep Breeding in Traditional Systems.” Livestock Science 128: 67–74.
González‐Pachón, J., and C. Romero. 1999. “Distance‐Based Consensus Methods: a Goal Programming Approach.” Omega 27: 341–347.
Hardy, R. S., and M. K. Litvak. 2004. “Effects of Temperature on the Early Development, Growth, and Survival of Shortnose Sturgeon, Acipenser brevirostrum, and Atlantic Sturgeon, Acipenser oxyrhynchus, Yolk‐Sac Larvae.” Environmental Biology of Fishes 70: 145–154.
Iranian Fisheries Organization. 2023. Salnameh Amari Sazman Shilat Iran 1398–1402 [Statistical Yearbook of Iranian Fisheries Organization 2019–2023]. Planning and Budget Office, Iranian Fisheries Organization.
Kariuki, C. M., J. A. M. van Arendonk, A. K. Kahi, and H. Komen. 2017. “Multiple Criteria Decision‐Making Process to Derive Consensus Desired Genetic Gains for a Dairy Cattle Breeding Objective for Diverse Production Systems.” Journal of Dairy Science 100: 1–12.
Linares, P., and C. Romero. 2002. “Aggregation of Preferences in an Environmental Economics Context: a Goal‐Programming Approach.” Omega 30, no. 2: 89–95.
Manyise, T., R. K. Basiita, C. M. Mwema, et al. 2024. “Farmer Perspectives on Desired Catfish Attributes in Aquaculture Systems in Nigeria. An Exploratory Focus Group Study.” Aquaculture 588: 740911.
Omasaki, S., J. van Arendonk, A. Kahi, and H. Komen. 2016. “Defining a Breeding Objective for Nile Tilapia That Takes Into Account the Diversity of Smallholder Production Systems.” Journal of Animal Breeding and Genetics 133, no. 5: 404–413.
Ovissipour, M., H. M. Al‐Qadiri, X. Lu, et al. 2015. “The Effect of White Sturgeon (Acipenser transmontanus) Ovarian Fat Deposition on Caviar Yield and Nutritional Quality: Introducing Image Processing Method for Sturgeon Ovary Fat Determination.” International Aquatic Research 7: 263–272.
Rahbar, M., R. Safari, and C. I. Perez‐Rostro. 2024a. “Defining Breeding Objectives and Estimation Economic Values of Traits for Persian Sturgeon (Acipenser persicus).” Aquaculture Reports 39: 102404.
Rahbar, M., R. Safari, and C. I. Perez‐Rostro. 2024b. “Defining Desired Genetic Gains for Pacific White Shrimp (Litopenaeus vannamei) Breeding Objective Using Participatory Approaches.” Journal of Animal Breeding and Genetics 141, no. 4: 390–402.
Rahbar, M., R. Safari, and C. I. Perez‐Rostro. 2025. “Using Weighted Goal Programming Model to Achieve Genetic Gain in a Beluga Sturgeon Breeding Program.” Journal of Animal Breeding and Genetics 142, no. 5: 478–486.
Saaty, T. L. 1977. “A Scaling Method for Priorities in Hierarchical Structures.” Journal of Mathematical Psychology 15: 234–281.
Saaty, T. L. 1980. “The Analytic Hierarchy Process. Mcgraw Hill, New York.” Agricultural Economics Review 70: 21236.
Saaty, T. L. 2008. “Decision Making With the Analytic Hierarchy Process.” International Journal of Services Sciences 1: 83–98.
Sae‐Lim, P., H. Komen, A. Kause, et al. 2012. “Defining Desired Genetic Gains for Rainbow Trout Breeding Objective Using Analytic Hierarchy Process.” Journal of Animal Science 90, no. 6: 1766–1776.
Song, H., S. Xu, K. Luo, et al. 2022. “Estimation of Genetic Parameters for Growth and Egg Related Traits in Russian Sturgeon (Acipenser gueldenstaedtii).” Aquaculture 546: 737299.
Thurstone, L. L. 1927. “A Law of Comparative Judgment.” Psychological Review 34: 273–286.
van Arendonk, J. A. M. 1991. “Use of Profit Equations to Determine Relative Economic Value of Dairy Cattle Herd Life and Production From Field Data.” Journal of Dairy Science 74: 1101–1107.
Grant Information:
02-489-49 Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
Contributed Indexing:
Keywords: aquaculture; breeding; desired genetic improvement; economic traits; social group preference
Entry Date(s):
Date Created: 20251022 Latest Revision: 20251022
Update Code:
20251022
DOI:
10.1111/jbg.70019
PMID:
41123087
Database:
MEDLINE
Weitere Informationen
This study employed participatory methods to identify breeding objectives and define desired genetic gains for economically important traits in the Russian sturgeon (Acipenser gueldenstaedtii). Two structured questionnaires were distributed to all Russian sturgeon farmers in Iran. The first questionnaire collected farm management information and asked farmers to prioritise five important traits from a list of thirteen. The top-ranked traits were ovarian fat lobe weight (OFW), total caviar weight (TCW), body weight of broodstock (BWB), larval body area at hatching (LBA), and yolk sac area (YSA). In the second questionnaire, pairwise comparisons were applied to derive individual trait preferences through the Analytical Hierarchy Process (AHP). Social group preference (Soc-p) values were computed for each social group using the weighted goal programming (WGP) model implemented in LINGO software. The greatest disagreement in Soc-p values emerged between the commercial product and water temperature categories. Subsequently, the extended WGP models were employed to derive consensus preference (Con-p) values for these categories. The average of the Con-p values was 0.28 (OFW), 0.22 (BWB), 0.14 (TCW), 0.13 (LBA), and 0.05 (YSA). These Con-p values were then used to determine the desired genetic gains, which were highest for TCW (1.39%) and lowest for YSA (0.34%). The use of AHP and WGP, rather than economic indices, was justified by the limited availability of reliable economic data in Iranian sturgeon aquaculture and the need for farmer-driven, consensus-based breeding goals. This research demonstrates that participatory approaches can successfully define genetic priorities, improve consensus among diverse farmer groups, and guide sustainable breeding strategies for Russian sturgeon in Iran.
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