2015
DOI: 10.1093/jee/tov347
|View full text |Cite
|
Sign up to set email alerts
|

Survival Analysis and Actuarial Parameters ofSternechus subsignatus(Coleoptera: Curculionidae) Adults

Abstract: The soybean stalk weevil, Sternechus subsignatus Boheman 1836 (Coleoptera: Curculionidae), is a very serious soybean pest in the Neotropical region. Both adults and larvae feed on soybean, causing significant yield losses. Adult survival was evaluated during three soybean growing seasons under controlled environmental conditions. A survival analysis was performed using a parametric survival fit approach in order to generate survival curves and obtain information that could help optimize integrated management s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
2
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 33 publications
(37 reference statements)
0
2
0
Order By: Relevance
“…Susequently, longevity data for each significant categorical variable were subjected to a three‐way generalized linear model with a Poisson distribution and log link function. Means (for diet and sex) were segregated with a Sidak test at α = 0.05 (Socias et al ., ).…”
Section: Methodsmentioning
confidence: 97%
See 1 more Smart Citation
“…Susequently, longevity data for each significant categorical variable were subjected to a three‐way generalized linear model with a Poisson distribution and log link function. Means (for diet and sex) were segregated with a Sidak test at α = 0.05 (Socias et al ., ).…”
Section: Methodsmentioning
confidence: 97%
“…For the experiment 2 a survival analysis was performed for each significant variable obtained from CPHM. This test was used to find significant differences among adult survival times across different groups or subgroups using the Wilcoxon‐Gehan (D) test, which assigns a greater weight to earlier survival points (Gehan, , ; Socias et al ., ) unlike CPHM. Subsequently, mean survival time (according to diet) was separated using Sidak tests ( α = 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…Finally, in order to determine the type of survival curve, survival data were fitted by the alpha–beta parameterization of the Weibull distribution, where alpha corresponds to the mean of the normal distribution of the natural logarithm of the time variable, and beta determines how the hazard rate changes over time. If beta >1, the hazard rate increases over time; if beta = 1, the hazard rate is constant over time; and if beta <1, the hazard rate decreases over time, corresponding to the Deevey (1947) type I, II, and III survivorship curves, respectively (Pinder et al., 1978; Socías et al., 2015). For all the statistical analyses, JMP v.10.0 (SAS Institute, Cary, NC, USA) and IBM‐SPSS v.22.0 (IBM, Armonk, NY, USA) were used.…”
Section: Methodsmentioning
confidence: 99%