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Öğe Advances in theory, data analysis, and application of the age-stage, two-sex life table for demographic research, biological control, and pest management(E Schweizerbartsche Verlagsbuchhandlung, 2023) Chi, Hsin; Kavousi, Aurang; Gharekhani, Gholamhossein; Atlihan, Remzi; Ozgokce, Mehmet Salih; Guncan, Ali; Gokce, AyhanThis paper reviews and introduces innovative research pertaining to the age-stage, two-sex life table. The main topics discussed are: (1) Analysis of data involving group-reared life table studies. We address the rationale behind the data analysis used when constructing a group-reared life table. Proper analysis of grouped-reared life table data enables the collection of realistic and applicable data for ecological studies, devising efficient mass-rearing programs and formulating pest management routines using time-and labor-saving group-rearing methods. (2) The bootstrap-match technique. This novel technique is applicable to those instances when constructing a complete life table involves collecting the immature independently from the adult data. (3) Application of the set theory in life table research. This procedure enables a mathematical description of the population structure and bootstrap samples. (4) Application of the multinomial theorem. Using the multinomial theorem enables calculation of the exact probability of bootstrap samples. (5) Inclusion of infertile bootstrap samples. Because it is impossible to calculate the intrinsic rates of increase for infertile samples, they are normally omitted in life table analysis. Inclusion of these infertile bootstrap samples produces an unbiased life table analysis. (6) The Cartesian product. The Cartesian product of two sets produces the complete coverage of all possible differences. We compared the paired bootstrap test, the Cartesian paired test based on bootstrap results, and the Cartesian paired test based on the multinomial theorem. (7) Integration of life table data with predation data. This procedure, which is especially relevant to biological control programs, enables a comprehensive study of the predator-prey relationship. (8) Computer simulation based on life tables. Population projection based on the age-stage, two-sex life table not only provides the means to predict the dynamics of stage structures of a given pest population, but also provides an insight into the dynamics of predation capacity of the predator population. (9) Problems in life table research. Each of the subjects discussed is crucial for the theoretical advancement and practical applications of scientific demographic research.Öğe Age-Stage, two-sex life table: an introduction to theory, data analysis, and application(E Schweizerbartsche Verlagsbuchhandlung, 2020) Chi, Hsin; You, Minsheng; Atlihan, Remzi; Smith, Cecil L.; Kavousi, Aurang; Ozgokce, Mehmet Salih; Guncan, AliThe life table is a type of research tool that is frequently used in many studies involving population and community ecology. They are the basis for many comprehensive studies in pest management, pesticide resistance, predator-prey relationships, biological control, mass-rearing and harvesting of insects, plant resistance, etc. Because the morphology, physiology, survival, fecundity, and predation/consumption rate of most arthropods will vary significantly depending on their developmental stage and sex, precise description of stage differentiation and inclusion of both sexes are critical for attaining realistic and accurate life table analyses and correctly evaluating the overall fitness of populations. Since traditional female age-specific life tables ignore the male individuals in a population and are incapable of describing the unique and important feature of stage differentiation (i.e., metamorphosis) that is a defining characteristic of insects and mites, their application to data analysis involving these groups will inevitably result in miscalculations and limit the practical application of these life tables. On the other hand, the age-stage, two-sex life table (hereafter referred to as the two-sex life table whenever appropriate), can precisely delineate stage differentiation and includes both sexes in data analysis, description, and interpretation, and in practical applications. In this review, the problems of female age-specific life tables are examined, followed by a discussion of the advantages of using the two-sex life table. Finally, applications of the two-sex life table in various types of entomological research are discussed and accompanied by examples.Öğe Group-rearing did not affect the life table and predation rate of Phytoseiulus persimilis (Acari: Phytoseiidae) fed on Tetranychus urticae(Systematic & Applied Acarology Soc London, Natural History Museum, 2017) Saemi, Sahar; Rahmani, Hasan; Kavousi, Aurang; Chi, HsinTo better understand the effect of individual- and group-rearing conditions on predator performance, we studied the life table and predation rate of the predatory mite, Phytoseiulus persimilis Athias-Henriot, after the mites had been individually- or group-reared on two-spotted spider mites, Tetranychus urticae, eggs at 25 +/- 1 degrees C, 65 +/- 5% RH and a photoperiod of 16: 8 (L:D) h. The net reproductive rate (R-0), intrinsic rate of increase (r), net predation rate (C-0), finite predation rate (.) in the individually- reared predators were 40.61 offspring, 0.2594 d(-1), 437.3 T. urticae eggs, and 4.8668 preys/d, respectively. Similar values were obtained when the predators were reared in groups (R-0 = 43.10 offspring, r = 0.2837 d(-1), C-0 = 420.9 T. urticae eggs, and. = 5.9054 preys/d). Mean adult longevities were 28.42 and 25.29 d for group-reared male and female predators, respectively; these values were significantly shorter than those of individual-reared mites (49.87 d for male and 36 d for female). Our results showed that P. persimilis mites could be group-reared in biological control programs without negative effect on their growth and predation potential.Öğe The Insecticide Resistance Allele kdr-his has a Fitness Cost in the Absence of Insecticide Exposure(Oxford Univ Press Inc, 2018) Chi, Hsin; You, Minsheng; Atlihan, Remzi; Kavousi, Aurang; Ozgokce, Mehmet Salih; Tuan, Shu-Jen; Gokce, Ayhan[Abstract Not Available]