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      Adaptability of small brown planthopper to four rice cultivars using life table and population projection method

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          Abstract

          In this study, we evaluated the adaptability of the small brown planthopper (SBPH), Laodelphax striatellus (Hemiptera: Delphacidae) to four rice cultivars including Shengdao13 (SD13), Shengdao14 (SD14), Shengdao15 (SD15), and Zixiangnuo (ZXN) using the age-stage, two-sex life table with a simplified method for recording egg production (i.e., every five days vs. daily). The intrinsic rate of increase ( r) of the SBPH was the highest (0.1067 d −1) on cultivar SD15, which was similar to the rate on SD14 (0.1029 d −1), but was significantly higher than that occurring on ZXN (0.0897 d −1) and SD13 (0.0802 d −1). The differences of the finite rate of increase ( λ) on the four rice cultivars were consistent with the r values. Population projection predicted an explosive population growth of the SBPH occurring in a relatively short time when reared on SD14 and SD15. These findings demonstrated that the SBPH can successfully survive on the four rice cultivars, although there were varying host adaptabilities.

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          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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            Age-Stage, Two-Sex Life Tables ofAphidius gifuensis(Ashmead) (Hymenoptera: Braconidae) and Its HostMyzus persicae(Sulzer) (Homoptera: Aphididae) with Mathematical Proof of the Relationship Between Female Fecundity and the Net Reproductive Rate

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              Optimal Life Histories, Optimal Notation, and the Value of Reproductive Value

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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                13 February 2017
                2017
                : 7
                : 42399
                Affiliations
                [1 ]Key Laboratory of Integrated Crop Pest Management of Shandong Province, College of Agronomy and Plant Protection, Qingdao Agricultural University , Qingdao 266109, China
                [2 ]Department of Plant Production and Technologies, Faculty of Agricultural Sciences and Technologies, Ömer Halisdemir University , Turkey
                [3 ]State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences (CAAS) , Beijing 100081, China
                Author notes
                Article
                srep42399
                10.1038/srep42399
                5304318
                28205522
                1de93197-bd1c-4f61-a6fe-fd8491f58baf
                Copyright © 2017, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 20 July 2016
                : 09 January 2017
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