| Literature DB >> 24031835 |
Abstract
Pandora neoaphidis overwintering had been investigated by monitoring its prevalence in Myzus persicae populations in open fields. Cabbage plants in field plots were weekly taken after mycosis initiation, to count and examine the living and dead aphids infected by P. neoaphidis . Based on the field data, infection levels ( I) varied with field temperature (T), relative humidity (RH) and aphid count (numbers of living aphids per plant, N) over days ( D), fitting well to the modified logistic equation I =0.91/[1+exp(8.5+(2.0 H T H RH-20.2 NI 0) D)] ( r (2)=0.897), where H T indicated daily hours of low temperature (<4°C), H RH daily hours of high air humidity (>90% RH) and I 0 primary infection level. The model demonstrated the abiotic and biotic factors influencing P. neoaphidis mycosis development in winter, and also verifies the fungal overwintering by infecting available host aphids without a resting stage. Ultimately, P. neoaphidis mycosis reduced 81.4% of aphid populations, presenting great potential for biocontrol.Entities:
Keywords: Aphid; Entomopathogenic fungi; Entomophthorales; Epizootic modeling; Microbial control
Year: 2012 PMID: 24031835 PMCID: PMC3768985 DOI: 10.1590/S1517-838220120001000038
Source DB: PubMed Journal: Braz J Microbiol ISSN: 1517-8382 Impact factor: 2.476
Figure 1Field sampling for evaluating Pandora neoaphidis mycosis prevalence in Myzus persicae populations in winter. (a) The counts of living M. persicae (·) and dead aphids (o) per plant. (b) The proportions of P. neoaphidis-mfected living aphids (·) and mycosed cadavers (o) examined on each sampling. Error bar: SD.
Field observation of mycosis occurrence of Pandora neoaphidisin Myzus persicaepopulations in winter.
| Sampling date a | Weekly mean ± SD | No. aphids examined d | Infection level e | |
|---|---|---|---|---|
| Low-temp duration (hrs) b | High-RH duration (hrs) c | |||
| 2007 | ||||
| Dec. 16 | 4.0±3.5 | 7.1±3.6 | 569 | 0.024 |
| Dec. 23 | 8.0±7.1 | 6.0±4.0 | 802 | 0.076 |
| Dec. 30 | 7.7±7.8 | 12.9±9.6 | 670 | 0.100 |
| 2008 | ||||
| Jan. 6 | 8.0±8.1 | 8.6±9.6 | 806 | 0.217 |
| Jan. 13 | 16.3±5.5 | 12.3±9.2 | 550 | 0.265 |
| Jan. 20 | 11.4±7.5 | 5.4±2.8 | 727 | 0.534 |
| Jan. 27 | 10.6±9.2 | 9.1±8.7 | 1110 | 0.521 |
| Feb. 3 | 4.0±4.8 | 16.3±5.8 | 3495 | 0.542 |
| Feb. 10 | 0.0±0.0 | 14.6±8.8 | 2233 | 0.523 |
| Feb. 17 | 0.6±1.5 | 9.4±8.4 | 6153 | 0.577 |
| Feb. 24 | 1.1±2.3 | 20.9±5.6 | 1477 | 0.630 |
| Mar. 3 | 0.9±1.6 | 24.0±0.0 | 2087 | 0.654 |
| Mar. 10 | 1.1±2.3 | 14.9±8.9 | 1348 | 0.605 |
| Mar. 17 | 1.7±2.4 | 11.7±8.8 | 1397 | 0.620 |
a Sampling began when mycosis was first observed in fields and ended with crop harvest.
b
c Daily hours of low temperature (<4°C) or high relative humidity (>90% RH).
d The weekly examined aphids included cadavers and ca. 360 visually healthy living aphids collected from the 12 plants.
e P. neoaphidis infection level was computed based on the proportions of P. neoaphidis -killed and living-infected aphids.
Figure 2Trend of Pandora neoaphidis mycosis prevalence in M. persicae populations in winter. The curve describing infection level ( I) trend was determined by a modified logistic equation I =0.91/[1+exp(8.5+(2.0 H T H RH-20.2 NI 0) D)] ( r =0.897, F 3 10=29.0, P =0.0001), arcsine square-root transformations for estimates of primary infection level ( I 0) and I , and log-transformations (x+1) for H T (daily hours of low temperature <4°C), H RH (daily hours of high air humidity >90% RH), N (number of living aphids per plant) and D (days after the first sampling date). The fitted parameters were estimated in modeling significantly (Student’s t test: P <0.05 for all parameters). o, the weekly computed infection level based on the P. neoaphidis- in fected proportions in living aphids and dead aphids.