Please use this identifier to cite or link to this item: http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/5340
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dc.contributor.authorChi, Hsin-
dc.contributor.authorKavousi, Aurang-
dc.contributor.authorGharekhani, Gholamhossein-
dc.contributor.authorAtlihan, Remzi-
dc.contributor.authorOzgokce, Mehmet Salih-
dc.contributor.authorGuncan, Ali-
dc.contributor.authorGokce, Ayhan-
dc.contributor.authorSmith, Cecil L.-
dc.contributor.authorBenelli, Giovanni-
dc.contributor.authorGuedes, Raul Narciso C.-
dc.contributor.authorAmir-Maafi, Masood-
dc.contributor.authorShirazi, Jalal-
dc.contributor.authorTaghizadeh, Roya-
dc.contributor.authorMaroufpoor, Mostafa-
dc.contributor.authorXu, Yong-Yu-
dc.contributor.authorZheng, Fang-Qiang-
dc.contributor.authorYe, Bao-Hua-
dc.contributor.authorChen, Zhen-Zhen-
dc.contributor.authorYou, Min-Sheng-
dc.contributor.authorFu, Jian-Wei-
dc.contributor.authorLi, Jian-Yu-
dc.contributor.authorShi, Meng-Zhu-
dc.contributor.authorHu, Zu-Qing-
dc.contributor.authorZheng, Chang-Ying-
dc.contributor.authorLuo, Lan-
dc.contributor.authorYuan, Zhong-Lin-
dc.contributor.authorZang, Lian-Sheng-
dc.contributor.authorChen, Yong-Ming-
dc.contributor.authorTuan, Shu-Jen-
dc.contributor.authorLin, Ya-Ying-
dc.contributor.authorWang, Hai-Hong-
dc.contributor.authorGotoh, Tetsuo-
dc.contributor.authorUllah, Mohammad Shaef-
dc.contributor.authorBotto-Mahan, Carezza-
dc.contributor.authorDe Bona, Sophie-
dc.contributor.authorBussaman, Prapassorn-
dc.contributor.authorGabre, Refaat M.-
dc.contributor.authorSaska, Pavel-
dc.contributor.authorSchneider, Marcela Ines-
dc.contributor.authorUllah, Farman-
dc.contributor.authorDesneux, Nicolas-
dc.date.accessioned2024-03-26T07:28:48Z-
dc.date.available2024-03-26T07:28:48Z-
dc.date.issued2023-
dc.identifier.citationChi, H., Kavousi, A., Gharekhani, G., Atlihan, R., Özgökçe, MS., Güncan, A., Gökçe, A., Smith, CL., Benelli, G., Guedes, RNC., Amir-Maafi, M., Shirazi, J., Taghizadeh, R., Maroufpoor, M., Xu, YY., Zheng, FQ., Ye, BH., Chen, ZZ., You, MS., Fu, JW., Li, JY., Shi, MZ., Hu, ZQ., Zheng, CY., Luo, L., Yuan, ZL., Zang, LS., Chen, YM., Tuan, SJ., Lin, YY., Wang, HH., Gotoh, T., Ullah, MS., Botto-Mahan, C., De Bona, S., Bussaman, P., Gabre, RM., Saska, P., Schneider, MI., Ullah, F., Desneux, N. (2023). Advances in theory, data analysis, and application of the age-stage, two-sex life table for demographic research, biological control, and pest management. Entomol. Gen., 43(4), 705-732. https://doi.org/10.1127/entomologia/2023/2048en_US
dc.identifier.issn0171-8177-
dc.identifier.issn2363-7102-
dc.identifier.urihttp://dx.doi.org/10.1127/entomologia/2023/2048-
dc.identifier.urihttps://www.webofscience.com/wos/woscc/full-record/WOS:001089576000001-
dc.identifier.urihttp://earsiv.odu.edu.tr:8080/xmlui/handle/11489/5340-
dc.descriptionWoS Categories: Entomologyen_US
dc.descriptionWeb of Science Index: Science Citation Index Expanded (SCI-EXPANDED)en_US
dc.descriptionResearch Areas: Entomologyen_US
dc.description.abstractThis 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.en_US
dc.description.sponsorshipModern Tea Industry Technology System of Shandong Province, China [SDAIT-19-04]; University of Maraghehen_US
dc.language.isoengen_US
dc.publisherE SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG-STUTTGARTen_US
dc.relation.isversionof10.1127/entomologia/2023/2048en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectgroup-reared life table, bootstrap-match technique, set theory, multinomial theorem, Cartesian paired test, computer simulation, predation, infertile bootstrap sampleen_US
dc.subjectPOPULATION-GROWTH, BOOTSTRAP METHODS, LEPIDOPTERA PLUTELLIDAE, NATURAL INCREASE, PREDATION RATE, FITNESS COSTS, HOST-PLANT, HEMIPTERA, PARAMETERS, COLEOPTERAen_US
dc.titleAdvances in theory, data analysis, and application of the age-stage, two-sex life table for demographic research, biological control, and pest managementen_US
dc.typearticleen_US
dc.relation.journalENTOMOLOGIA GENERALISen_US
dc.contributor.departmentOrdu Üniversitesien_US
dc.contributor.authorID0000-0001-6174-1425en_US
dc.contributor.authorID0000-0003-1765-648Xen_US
dc.contributor.authorID0000-0002-6525-8251en_US
dc.contributor.authorID0000-0002-9964-0512en_US
dc.contributor.authorID0000-0001-8971-6010en_US
dc.contributor.authorID0000-0002-5617-1349en_US
dc.contributor.authorID0000-0001-9069-6600en_US
dc.contributor.authorID0000-0001-9303-8056en_US
dc.identifier.volume43en_US
dc.identifier.issue4en_US
dc.identifier.startpage705en_US
dc.identifier.endpage732en_US
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