Abstract
A 3-yr study was conducted in 0.6- to 2.0-ha sugarcane fields throughout south Louisiana under varying sugarcane borer, Diatraea saccharalis (F.), density levels to determine the spatial dispersion of infestations and to develop a sequential sampling plan. Infestations of D. saccharalis were randomly dispersed. Infestation levels (percentage of stalks infested) ranged from 0.6 to 33.3%. Frequency distributions of the number of infested stalks indicated that the Poisson distribution best fit the data Tests of other distributions (negative binomial [aggregated], binomial [uniform], geometric, and hypergeometric) resulted in poorer fits. The sequential sampling plan devised, with lower and upper D. saccharalis infestation limits of 2 and 5% and 5 and 10%, required maximum average sample numbers of 7.1 and 5.5 (20-stalk samples), respectively, to make terminating management decisions. It is our assessment that implementation of these plans would decrease sampling effort by 50-60% when compared with sampling programs currently in use for D. saccharalis management decisions in Louisiana.
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Claims 7
Claim · model-written summary
Sugarcane borer infestations were randomly dispersed.
- Taxon
- Sugarcanet0
- Interactor
- D. saccharalis
Diatraea saccharalise0pest - Outcome
- Infestations of D. saccharalise0
- Direction
- randomly dispersede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Infestations of D. saccharalis were randomly dispersed”
t0“on Sugarcane in Louisiana”
Claim · model-written summary
Infestation levels ranged from 0.6 to 33.3%.
Verbatim
e0“Infestation levels (percentage of stalks infested) ranged from 0.6 to 33.3%”
t0“on Sugarcane in Louisiana”
Claim · model-written summary
The Poisson distribution best fit the infested-stalk frequency data.
Verbatim
e0“Frequency distributions of the number of infested stalks indicated that the Poisson distribution best fit the data”
t0“on Sugarcane in Louisiana”
Claim · model-written summary
Other tested distributions gave poorer fits.
Verbatim
e0“Tests of other distributions (negative binomial [aggregated], binomial [uniform], geometric, and hypergeometric) resulted in poorer fits”
t0“on Sugarcane in Louisiana”
Claim · model-written summary
The plan with 2 and 5% limits required a maximum average 7.1 20-stalk samples.
- Taxon
- Sugarcanet0
- Interactor
- D. saccharalisDiatraea saccharalise0pest
- Outcome
- maximum average sample numberse0
- Value
- 7.1e0
- Qualifier
- 2 and 5%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“with lower and upper D. saccharalis infestation limits of 2 and 5% and 5 and 10%, required maximum average sample numbers of 7.1 and 5.5 (20-stalk samples), respectively”
t0“on Sugarcane in Louisiana”
Claim · model-written summary
The plan with 5 and 10% limits required a maximum average 5.5 20-stalk samples.
- Taxon
- Sugarcanet0
- Interactor
- D. saccharalisDiatraea saccharalise0pest
- Outcome
- maximum average sample numberse0
- Value
- 5.5e0
- Qualifier
- 5 and 10%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“with lower and upper D. saccharalis infestation limits of 2 and 5% and 5 and 10%, required maximum average sample numbers of 7.1 and 5.5 (20-stalk samples), respectively”
t0“on Sugarcane in Louisiana”
Claim · model-written summary
The authors estimated implementing these plans would reduce sampling effort by 50-60%.
Verbatim
e0“implementation of these plans would decrease sampling effort by 50-60% when compared with sampling programs currently in use”
t0“on Sugarcane in Louisiana”