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1.
Rapid Commun Mass Spectrom ; 30(21): 2301-2314, 2016 Nov 15.
Artículo en Inglés | MEDLINE | ID: mdl-27510404

RESUMEN

RATIONALE: The gaseous N losses mediated by soil denitrifiers are generally inferred by measuring N2 O fluxes, but should include associated N2 emissions, which may be affected by abiotic soil characteristics and biotic interactions. Soil fauna, particularly anecic earthworms and euedaphic collembola, alter the activity of denitrifiers, creating hotspots for denitrification. These soil fauna are abundant in perennial agroecosystems intended to contribute to more sustainable production of bioenergy. METHODS: Two microcosm experiments were designed to evaluate gaseous N emissions from a silty loam and a sandy soil, both provided with litter from the bioenergy crop Silphium perfoliatum (cup-plant) and inoculated with an anecic earthworm (Lumbricus terrestris), which was added alone or together with an euedaphic collembola (Folsomia candida). In experiment 1, litter-derived N flux was determined by adding 15 N-labelled litter, followed by mass spectrometric analysis of N2 and N2 O isotopologues. In experiment 2, the δ18 O values and 15 N site preference of N2 O were determined by isotope ratio mass spectrometry to reveal underlying N2 O formation pathways. RESULTS: Lumbricus terrestris significantly increased litter-derived N2 emissions in the loamy soil, from 174.5 to 1019.3 µg N2 -N kg-1 soil, but not in the sandy soil (non-significant change from 944.7 to 1054.7 µg N2 -N kg-1 soil). Earthworm feeding on plant litter resulted in elevated N2 O emissions in both soils, derived mainly from turnover of the soil mineral N pool during denitrification. Folsomia candida did not affect N losses but showed a tendency to redirect N2 O formation pathways from fungal to bacterial denitrification. The N2 O/(N2  + N2 O) product ratio was predominantly affected by abiotic soil characteristics (loamy soil: 0.14, sandy soil: 0.26). CONCLUSIONS: When feeding on S. perfoliatum litter, the anecic L. terrestris, but not the euedaphic F. candida, has the potential to cause substantial N losses. Biotic interactions between the species are not influential, but abiotic soil characteristics have an effect. The coarse-textured sandy soil had lower gaseous N losses attributable to anecic earthworms. Copyright © 2016 John Wiley & Sons, Ltd.


Asunto(s)
Artrópodos/metabolismo , Nitrógeno/metabolismo , Óxido Nitroso/metabolismo , Oligoquetos/metabolismo , Suelo/química , Animales , Bacterias/metabolismo , Desnitrificación , Hongos/metabolismo , Nitrógeno/química , Óxido Nitroso/química , Suelo/parasitología , Microbiología del Suelo
2.
Insects ; 11(6)2020 Jun 13.
Artículo en Inglés | MEDLINE | ID: mdl-32545796

RESUMEN

Several important vegetable crops grown outdoors in temperate climates in Europe can be damaged by the root-feeding larvae of Diptera (Delia radicum, Delia floralis, Chamaepsila rosae, Delia platura, Delia florilega, Delia antiqua). Knowledge of pest insect phenology is a key component of any Integrated Pest Management (IPM) strategy, and this review considers the methods used to monitor and forecast the occurrence of root-feeding flies as a basis for decision-making by growers and the ways that such information can be applied. It has highlighted some current management approaches where such information is very useful for decision support, for example, the management of C. rosae with insecticidal sprays and the management of all of these pests using crop covers. There are other approaches, particularly those that need to be applied at sowing or transplanting, where knowledge of pest phenology and abundance is less necessary. Going forward, it is likely that the number of insecticidal control options available to European vegetable growers will diminish and they will need to move from a strategy which often involves using a single 'silver bullet' to a combination of approaches/tools with partial effects (applied within an IPM framework). For the less-effective, combined methods, accurate information about pest phenology and abundance and reliable decision support are likely to be extremely important.

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