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- Jonsson, Mattias, et al.
(författare)
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Suction-trap catches partially predict infestations of the grain aphid Sitobion avenae in winter wheat fields
- 2016
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Ingår i: Journal of Applied Entomology. - : Wiley. - 0931-2048 .- 1439-0418. ; 140, s. 553-557
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Tidskriftsartikel (refereegranskat)abstract
- Effective pest monitoring programmes are needed for providing reliable advice on when pest populations require active management. We studied whether suction-trap catches of the grain aphid Sitobion avenae during the period 1989-2009 can be used to predict field infestations of this aphid in Swedish winter wheat fields. We found that suction-trap catches of S.avenae until the time of crop heading (GS51) were significantly related to both number of aphids per tiller (R-2=0.69 at GS 59 and R-2=0.27 at GS 69) and proportion of fields with infestations above economic threshold (R-2=0.49 at GS 59 and R-2=0.40 at GS 69). This effect was consistent across Swedish regions and years. This information could be used by advisory services and farmers to decide whether field inspection to estimate the profitability of insecticide treatment at heading is needed. To improve the predictive ability further, suction-trap catches could be combined with weather data and information about biological control potential in different landscapes.
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| 3. |
- Sigvald, Roland
(författare)
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Predicting the effects of climate change on the latency period of wheat leaf rust in western Poland
- 2017
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Ingår i: Acta Agriculturae Scandinavica, Section B - Soil and Plant Science. - : Informa UK Limited. - 0906-4710 .- 1651-1913. ; 67, s. 223-234
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Tidskriftsartikel (refereegranskat)abstract
- Leaf rust caused by Puccinia recondita f. sp. tritici belongs to the most important diseases of wheat worldwide. The progress of the disease is highly dependent on meteorological conditions. One of the parameters affecting the disease progress is latency period driven mostly by temperature. Examination of the influence of predicted temperature changes on the monthly sum of the daily latency period expressed as rate (MSLPR) in western Poland was the aim of our study. Experiments in quasi-natural conditions were performed with the aim of validating models describing the influence of temperature on leaf rust latency period in two wheat varieties, Turnia and Ostroga. Both models used for assessment of latency period duration on cv. Turnia and cv. Ostroga performed well. The influence of climate changes on leaf rust latency period was then simulated using meteorological data from three weather stations located in western Poland and virtual data obtained after transformation of the recorded data to reflect a temperature changes under RCP2.6 and RCP8.5 scenarios according to giss_e2_r climate model. The study shows that without mitigation of greenhouse gas emission latency period of wheat leaf rust is going to decrease which may result in increase of wheat leaf rust incidence.
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