Paper · 2016 · UA Campus Repository (The University of Arizona)

The Incorporation of Conservation Biological Control into the Management of Bemisia tabaci (MEAM1) in Cotton

Timothy F. Vandervoet

7
claims
14
verbatim quotes
0
citations
3
research areas
—
Not open access

Abstract

Natural enemies provide critical population regulation of many pest species, though their effects are not commonly incorporated into agricultural management decisions. Conservation biological control is an important tool that can be implemented to minimize pest damage, but applying it requires appropriate understanding of pest and natural enemy relationships. Through experimental cotton field trials, I identified predator: prey ratios based on key arthropod predators as action thresholds of the whitefly pest Bemisia tabaci MEAM1 (Dinsdale et al. 2010; equivalent to Bemisia argentifolii Bellows et al. 1994 [Hemiptera: Aleyrodidae]), validated their efficacy, and promoted them to cotton pest managers. This dissertation begins with a multi-year field trial where whitefly and natural enemy populations were manipulated with a series of insecticidal treatments to identify key arthropod predators. The critical abundance of four key predators necessary to suppress whiteflies was estimated through predator: prey ratios. These ratios were refined for commercial pest management and developed to conform to the current whitefly IPM framework as a simple to use management-decision tool that would be readily adopted and used by pest managers. Predator: prey ratios were then validated in 1) a second field trial, 2) commercial fields in Arizona and northern Mexico and 3) historical field trials conducted from 1997-2010, where whitefly management decisions made with the standard threshold and ratios, were compared with the standard threshold alone. I found no difference in management outcomes when decisions were made with the standard threshold alone, or with predator: prey ratios in the field trial, but analysis of potential decisions on commercial farms and with historical trial data indicated that the majority of sprays could be delayed if control decisions incorporated ratio-based thresholds. Finally, an outreach program was developed and deployed to present ratios as decision-making tools for cotton pest managers that reduce uncertainty in control decisions and optimize spray outcomes. Pest managers indicated positive changes in knowledge and a gradual adoption of ratios for decision-making. The implementation of whitefly control decisions that incorporate predator: prey ratios may reduce pest managers' uncertainty in decision-making, as well as insecticide use and management costs.

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Claims 7

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Four key predators had estimated critical abundances for whitefly suppression using predator to prey ratios.

Interactor
Bemisia tabaci (MEAM1)Bemisia tabacit0pest
Outcome
critical abundance of four key predatorse0
Value
foure0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Bemisia tabaci
Bemisia tabaci · InteractorPublic domain · Wikimedia Commons ↗

Verbatim

t0

“Bemisia tabaci (MEAM1) in Cotton”

✓ located verbatim in the source · title, characters 76–108 · show in text ↑
e0

“The critical abundance of four key predators necessary to suppress whiteflies was estimated through predator: prey ratios.”

✓ located verbatim in the source · abstract, characters 904–1026 · show in text ↑
Method / resourceobservedoriginal resultpositivebasis n/a

Claim · model-written summary

Predator to prey ratios were refined into a whitefly management decision tool.

Interactor
Bemisia tabaci (MEAM1)Bemisia tabacit0pest
Outcome
management-decision toole0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Bemisia tabaci
Bemisia tabaci · InteractorPublic domain · Wikimedia Commons ↗

Verbatim

t0

“Bemisia tabaci (MEAM1) in Cotton”

✓ located verbatim in the source · title, characters 76–108 · show in text ↑
e0

“These ratios were refined for commercial pest management and developed to conform to the current whitefly IPM framework as a simple to use management-decision tool”

✓ located verbatim in the source · abstract, characters 1027–1190 · show in text ↑
Intervention effectobservedoriginal resultno effectmeasured

Claim · model-written summary

Field-trial outcomes did not differ between the standard threshold alone and thresholds incorporating predator to prey ratios.

Treatment
predator: prey ratiose0
Interactor
Bemisia tabaci (MEAM1)Bemisia tabacit0pest
Outcome
management outcomese0
Direction
no differencee0
Comparator
standard threshold alonee0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Bemisia tabaci
Bemisia tabaci · InteractorPublic domain · Wikimedia Commons ↗

Verbatim

t0

“Bemisia tabaci (MEAM1) in Cotton”

✓ located verbatim in the source · title, characters 76–108 · show in text ↑
e0

“I found no difference in management outcomes when decisions were made with the standard threshold alone, or with predator: prey ratios in the field trial”

✓ located verbatim in the source · abstract, characters 1557–1710 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Commercial and historical trial analyses indicated that most sprays could be delayed by ratio-based thresholds.

Treatment
ratio-based thresholdse0
Interactor
Bemisia tabaci (MEAM1)Bemisia tabacit0pest
Outcome
sprayse0
Direction
delayede0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Bemisia tabaci
Bemisia tabaci · InteractorPublic domain · Wikimedia Commons ↗

Verbatim

t0

“Bemisia tabaci (MEAM1) in Cotton”

✓ located verbatim in the source · title, characters 76–108 · show in text ↑
e0

“analysis of potential decisions on commercial farms and with historical trial data indicated that the majority of sprays could be delayed if control decisions incorporated ratio-based thresholds.”

✓ located verbatim in the source · abstract, characters 1716–1911 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Pest managers reported improved knowledge after the outreach program.

Interactor
Bemisia tabaci (MEAM1)Bemisia tabacit0pest
Outcome
knowledgee0
Direction
positive changese0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Bemisia tabaci
Bemisia tabaci · InteractorPublic domain · Wikimedia Commons ↗

Verbatim

t0

“Bemisia tabaci (MEAM1) in Cotton”

✓ located verbatim in the source · title, characters 76–108 · show in text ↑
e0

“Pest managers indicated positive changes in knowledge and a gradual adoption of ratios for decision-making.”

✓ located verbatim in the source · abstract, characters 2110–2217 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Pest managers reported gradual adoption of predator to prey ratios.

Interactor
Bemisia tabaci (MEAM1)Bemisia tabacit0pest
Outcome
adoption of ratiose0
Direction
graduale0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Bemisia tabaci
Bemisia tabaci · InteractorPublic domain · Wikimedia Commons ↗

Verbatim

t0

“Bemisia tabaci (MEAM1) in Cotton”

✓ located verbatim in the source · title, characters 76–108 · show in text ↑
e0

“Pest managers indicated positive changes in knowledge and a gradual adoption of ratios for decision-making.”

✓ located verbatim in the source · abstract, characters 2110–2217 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors suggest ratio-based decisions may reduce uncertainty, insecticide use and costs.

Interactor
Bemisia tabaci (MEAM1)Bemisia tabacit0pest
Outcome
pest managers' uncertainty in decision-making, as well as insecticide use and management costse0
Direction
reducee0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Bemisia tabaci
Bemisia tabaci · InteractorPublic domain · Wikimedia Commons ↗

Verbatim

t0

“Bemisia tabaci (MEAM1) in Cotton”

✓ located verbatim in the source · title, characters 76–108 · show in text ↑
e0

“The implementation of whitefly control decisions that incorporate predator: prey ratios may reduce pest managers' uncertainty in decision-making, as well as insecticide use and management costs.”

✓ located verbatim in the source · abstract, characters 2218–2412 · show in text ↑

biocontrol · Bemisia tabaci · Gossypium hirsutum (cotton)Positive and negative results

6 papers: 4 positive, 2 negative or no effect

1 paper in the same direction as this paper · 4 reporting no difference from an alternative

  1. positive
  2. positive
  3. positive

2 papers more in this group

See all 6 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.