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Using Observed Residual Error Structure Yields the Best Estimates of Individual Growth Parameters. FISHES 2021. [DOI: 10.3390/fishes6030035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Obtaining the best possible estimates of individual growth parameters is essential in studies of physiology, fisheries management, and conservation of natural resources since growth is a key component of population dynamics. In the present work, we use data of an endangered fish species to demonstrate the importance of selecting the right data error structure when fitting growth models in multimodel inference. The totoaba (Totoaba macdonaldi) is a fish species endemic to the Gulf of California increasingly studied in recent times due to a perceived threat of extinction. Previous works estimated individual growth using the von Bertalanffy model assuming a constant variance of length-at-age. Here, we reanalyze the same data under five different variance assumptions to fit the von Bertalanffy and Gompertz models. We found consistent significant differences between the constant and nonconstant error structure scenarios and provide an example of the consequences using the growth performance index ϕ′ to show how using the wrong error structure can produce growth parameter values that can lead to biased conclusions. Based on these results, for totoaba and other related species, we recommend using the observed error structure to obtain the individual growth parameters.
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Orozco-Ruiz AM, Galván-Tirado C, Orlova SY, Orlov AM, García-De León FJ. Microsatellite loci obtained by next generation sequencing on the sablefish (Anoplopoma fimbria). Mol Biol Rep 2018; 45:1523-1526. [PMID: 29974317 DOI: 10.1007/s11033-018-4226-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 06/27/2018] [Indexed: 10/28/2022]
Abstract
Eleven microsatellite loci were developed and characterized for the sablefish, Anoplopoma fimbria. The markers were identified from sequences obtained by next generation sequencing. Thirty samples from Aleutians Islands were genotyped. The amplifications were performed with three different annealing temperature and amplification products were visualized in ABI 3500 Genetic Analyzer. No evidence for scoring errors was detected by stuttering or due large allele dropout and neither of the loci presented a high null allele frequency (> 0.2). The number means of alleles per locus was of 12.21 and mean of observed and expected heterozygosity were of 0.60 and 0.75 respectively. The sablefish represents a resource of high commercial value on the coasts of Japan, Russia, Canada and west coast of the United States and these new primers could be useful to future diversity and structure population studies.
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Affiliation(s)
- Adonaji Madeleine Orozco-Ruiz
- Laboratorio de Genética para la Conservación, Centro de Investigaciones Biológicas del Noroeste (CIBNOR), Instituto Politécnico Nacional 195, Col. Playa Palo de Santa Rita, 23096, La Paz, BCS, Mexico
| | - Carolina Galván-Tirado
- Laboratorio de Genética para la Conservación, Centro de Investigaciones Biológicas del Noroeste (CIBNOR), Instituto Politécnico Nacional 195, Col. Playa Palo de Santa Rita, 23096, La Paz, BCS, Mexico
| | - Svetlana Yu Orlova
- Russian Federal Research Institute of Fisheries and Oceanography (VNIRO), Moscow, Russia
| | - Alexei M Orlov
- Russian Federal Research Institute of Fisheries and Oceanography (VNIRO), Moscow, Russia.,Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences (IPEE), Moscow, Russia.,Dagestan State University (DSU), Makhachkala, Russia.,Caspian Institute of Biological Resources, Dagestan Scientific Center of the Russian Academy of Sciences (CIBR), Makhachkala, Russia.,Tosk State University (TSU), Tomsk, Russia
| | - Francisco Javier García-De León
- Laboratorio de Genética para la Conservación, Centro de Investigaciones Biológicas del Noroeste (CIBNOR), Instituto Politécnico Nacional 195, Col. Playa Palo de Santa Rita, 23096, La Paz, BCS, Mexico.
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