Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Contaminants and Errors01:16

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Seasonal Dynamics of Resource Availability and Human Presence Shape Habitat Use of Large Carnivores in Chad.

Ecology and evolutionยท2026
Same authorSame journal

Drivers of Host-Pathogen Community Assemblages in European Forests and Urban Green Spaces.

Integrative zoologyยท2026
Same author

Diet and Prey Preference of Tigers (<i>Panthera tigris</i>) in and Around Chitwan National Park, Nepal.

Ecology and evolutionยท2026
Same author

Intra- and Interspecific Effects on Spatio-Temporal Behavior of Common Commensal Rodent Species.

Integrative zoologyยท2026
Same author

A wide diversity of viruses detected in African mammals involved in the wild meat supply chain.

PLoS pathogensยท2025
Same author

Assessing Ebola virus circulation in the Tshuapa province (Democratic Republic of the Congo): A One Health investigation of wildlife and human interactions.

PLoS pathogensยท2025

Related Experiment Video

Updated: Jun 3, 2026

Rodent-Proof Wall: An Efficient Physical Method for Controlling Rodents and its Efficiency Statistics
03:29

Rodent-Proof Wall: An Efficient Physical Method for Controlling Rodents and its Efficiency Statistics

Published on: March 8, 2024

Relationship between sampling intensity and precision for estimating damage to maize caused by rodents.

Loth S Mulungu1, Rhodes H Makundi1, Apia W Massawe1

  • 1Pest Management Centre, Sokoine University of Agriculture, Morogoro, TanzaniaUniversity of Antwerp, Evolutionary Biology Group, Antwerpen, BelgiumDanish Pest Infestation Laboratory, University of Aarhus, Department of Integrated Pest Management, Kongens Lyngby, Denmark.

Integrative Zoology
|March 15, 2011
PubMed
Summary

Determining optimal sampling intensity for rodent damage in maize fields is crucial. A systematic row sampling interval of five rows consistently yields estimates with less than 10% variance, ensuring accuracy.

More Related Videos

Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton
05:03

Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton

Published on: April 28, 2017

Related Experiment Videos

Last Updated: Jun 3, 2026

Rodent-Proof Wall: An Efficient Physical Method for Controlling Rodents and its Efficiency Statistics
03:29

Rodent-Proof Wall: An Efficient Physical Method for Controlling Rodents and its Efficiency Statistics

Published on: March 8, 2024

Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton
05:03

Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton

Published on: April 28, 2017

Area of Science:

  • Agricultural Science
  • Pest Management
  • Statistical Modeling

Background:

  • Rodent damage significantly impacts maize yield, necessitating accurate estimation methods.
  • Current sampling techniques may not always provide sufficient precision for rodent damage assessment in agricultural fields.

Purpose of the Study:

  • To establish the relationship between sampling intensity and estimation precision for rodent damage in maize.
  • To identify an optimal sampling strategy for accurate rodent damage assessment using systematic row sampling.

Main Methods:

  • Systematic row sampling was employed in 15 maize fields (0.5 ha each) in Morogoro, Tanzania.
  • Rodent damage was quantified at the seedling stage, and data were used to simulate various sampling intensities.
  • Variances of damage estimates were plotted against sampling intervals to determine optimal precision.

Main Results:

  • A linear relationship was observed between average standardized variances and sampling intervals.
  • A sampling interval of five rows consistently resulted in estimates with a variance below 10%.
  • Damage heterogeneity across plots influenced estimate accuracy, but the five-row interval maintained precision.

Conclusions:

  • The systematic row sampling technique, with an interval of five rows, is effective for precise rodent damage estimation in maize.
  • A standard curve is provided to guide decisions on sampling intensity based on desired precision levels.
  • This study offers a practical tool for improving the accuracy of rodent damage assessments in maize cultivation.