Field Mortality
Field Mortality - Related Videos
07:03
Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
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Cited by 5 •
2016
Here we present a protocol for assessing seed survivorship, germination and dormancy under field conditions using buried, labeled seed strips and tetrazolium chloride (TZ) viability testing.
03:57
Assessing Pathogenic Bacteria–Induced Mortality in C. elegans Larvae
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2025
Source: Anderson, Q. L., et al. A High-throughput, High-content, Liquid-based C. elegans Pathosystem. J. Vis. Exp. (2018)The video demonstrates a liquid-based assay where genetically modified C. elegans larvae are exposed to pathogenic bacteria in a microplate. Bacterial toxins secreted into the medium induce host stress and death. A fluorescent dye stains dead worms, allowing imaging-based quantification of mortality to assess genetic susceptibility or resistance.
03:56
Mosquito Feeding Assay: A Method to Evaluate Test Compound Effects on Mortality and Fecundity of Adult Female Mosquitoes
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2025
This video demonstrates a blood-feeding assay to evaluate the mortality and fecundity of test compounds with novel modes of action on female mosquitoes. This technique helps in screening new classes of insecticides to kill the resistant population of mosquitoes and control disease spread.
14:15
Development of Metarhizium anisopliae as a Mycoinsecticide: From Isolation to Field Performance
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Cited by 18 •
2017
Here, we report the different stages involved in the knowledge-based development of an effective mycoinsecticide, including the isolation, identification, screening, and selection of the "best-fit" entomopathogenic fungus, Metarhizium anisopliae, for the control of insect pests in agriculture.
03:55
Larval Contact Assay: A Procedure to Evaluate Mosquito Larval Mortality following Direct Contact with Test Larvicidal Compound
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2025
In this video, we describe the larval contact assay to evaluate the toxicity of the dopamine receptor antagonist amitriptyline on the third instar stage larvae of mosquitoes, known vectors of several human infectious diseases. Assessing the larval mortality upon incubation with different amitriptyline concentrations over different time intervals helps determine its lethal concentration 50.
FAQs
The choice between a proportion and a rate changes what the statistic communicates. A proportion summarizes deaths relative to the individuals observed, whereas a rate incorporates the amount of exposure time represented by the observation. Selecting the appropriate expression helps align the estimate with the study period and the way observations were collected.
Sampling design determines which organisms and field conditions contribute to the estimate. If the observations do not represent the defined field environment, the calculated mortality may describe the sample rather than the broader population. Accounting for design therefore strengthens comparisons among sites, periods, or experimental conditions without treating every observation as interchangeable.
Environmental variation can produce deaths unrelated to an experimental treatment. Recording mortality under the relevant field conditions and considering that variation helps researchers distinguish treatment effects from natural losses. This distinction is especially important when a treatment is evaluated against population change, because observed deaths may reflect both the intervention and the surrounding environment.
Comparing the number alive at the beginning and end of an observation period links mortality estimates to survival and population change. A larger loss indicates reduced survival during that interval, while the same count difference can have different meaning when the starting number or exposure differs. The estimate therefore needs its observation context.
A basic field-mortality workflow defines the observation period, records the number of organisms alive at its start, and determines how many remain at its end. Researchers then quantify deaths as a proportion or rate, incorporating exposure time when appropriate. The resulting value can be interpreted alongside the sampling design and environmental conditions.
Field mortality measurements serve different research settings because they connect observed losses with real environmental conditions. In ecological monitoring and wildlife research, they help assess survival and population change. In agricultural trials and pest-management studies, they help evaluate how conditions or treatments influence losses, supporting comparisons between natural and experimental outcomes.
Statistical interpretation becomes more informative when mortality is compared across defined treatments or field conditions rather than viewed as an isolated count. Such comparisons can reveal whether losses differ in ways consistent with a treatment effect or with environmental variation. They also help translate individual deaths into evidence about broader population responses.