Peach volatile emission and attractiveness of different host plant volatiles blends to Cydia molesta in adjacent peach and pear orchards
The oriental fruit moth (OFM), Cydia (= Grapholitha ) molesta , is a highly damaging pest; peaches are its primary host, and pears serve as post-peach secondary hosts during the late season in China. We collected volatiles from detached peach shoots and fruits, and identified them with gas chromato...
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Veröffentlicht in: | Scientific reports 2020-08, Vol.10 (1), p.13658-13658, Article 13658 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The oriental fruit moth (OFM),
Cydia
(=
Grapholitha
)
molesta
, is a highly damaging pest; peaches are its primary host, and pears serve as post-peach secondary hosts during the late season in China. We collected volatiles from detached peach shoots and fruits, and identified them with gas chromatography–mass spectrometry (GC–MS). Antennally active compounds were identified by gas chromatography-electroantennogram detection (GC-EAD), and these were further tested in the laboratory and field. We detected consistent electroantennographic activity was for ten compounds. Significantly more
C. molesta
females were caught with a mixture of female EAD-active compounds identified from the detached matured peach fruits (nonanal, butyl acetate, 3-methylbutyl acetate, hexyl acetate, (
Z
)-3-hexenyl acetate, linalool and farnesene) than other mixtures mimicking the volatile profile from detached matured fruits or shoots. We identified a new GC-EAD active mixture from intact peach shoots composed of nonanal, (
Z
)-3-hexenyl acetate, (
E
)-β-ocimene, and 6-methyl-5-hepten-2-one. In the field test, the background odour of orchards could affect trap catches, and two peach-derived blends together with two previously known pear-derived blends were proven to be able to monitor the seasonal OFM population dispersal in adjacent orchards. These host plant blends will be effective for further designing candidate attractants for season-long
C. molesta
population dynamic monitoring. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-020-70685-9 |