Enriching agroecosystems with non-crop vegetation is a popular strategy for conservation biocontrol. In vineyards, the effects of specific seeded or planted cover crops on natural enemies are well-studied, whereas conserving spontaneously developing weeds received less attention. We compared parasitoid communities between matched pairs of vineyard plots in northern Israel, differing in weed management practices: "herbicide", repeated herbicide applications vs. "ground cover", maintaining resident weeds and trimming them when needed. Using suction sampling, we assessed the parasitoids' abundance, richness, and composition during three grape-growing seasons. Ground cover plots had greater parasitoid abundances and cumulative species richness than herbicide-treated plots, possibly because of their higher vegetation cover and richness. Dominant parasitoid species varied in their magnitude and direction of response to weed management. Their responses seem to combine tracking of host distributions with attraction to additional vegetation-provided resources. Parasitoid community composition was mildly yet significantly influenced by weed management, while season, year, and habitat (weeds vs. vine) had stronger effects. Vineyard weeds thus support local biocontrol agents and provide additional previously demonstrated benefits (e.g., soil conservation, lower agrochemical exposure) but might also attract some crop pests. When the benefits outweigh this risk, weed conservation seems a promising step towards more sustainable agricultural management.
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http://dx.doi.org/10.3390/biology10010007 | DOI Listing |
Glob Chang Biol
January 2025
Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech Republic.
In recent decades, global change and local anthropogenic pressures have severely affected natural ecosystems and their biodiversity. Although disentangling the effects of these factors is difficult, they are reflected in changes in the functional composition of plant communities. We present a comprehensive, large-scale analysis of long-term changes in plant communities of various non-forest habitat types in the Czech Republic based on 1154 vegetation-plot time series from 53 resurvey studies comprising 3909 vegetation-plot records.
View Article and Find Full Text PDFMetabolites
January 2025
Department of Agricultural and Environmental Sciences-Production, Landscape, Agroenergy, University of Milan, 20133 Milan, Italy.
This study explores the allelopathic effects of volatile organic compounds (VOCs) emitted by the invasive species (Mill.) Swingle on the seed germination of . is known for releasing allelopathic VOCs that suppress the growth of neighbouring plants, contributing to its invasive potential.
View Article and Find Full Text PDFFront Plant Sci
January 2025
Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
Smart farming is a hot research area for experts globally to fulfill the soaring demand for food. Automated approaches, based on convolutional neural networks (CNN), for crop disease identification, weed classification, and monitoring have substantially helped increase crop yields. Plant diseases and pests are posing a significant danger to the health of plants, thus causing a reduction in crop production.
View Article and Find Full Text PDFSci Data
January 2025
Institute of Pesticide and Environmental Toxicology, Zhejiang University, Hangzhou, 310058, P. R. China.
Cyperus iria is an aggressive weed of rice throughout the world. Until now, the reference genome of C. iria has not been published.
View Article and Find Full Text PDFFront Plant Sci
January 2025
Department of Soil Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran.
Potato () production requires effective nutrient and weed management strategies to enhance tuber yield and quality while minimizing the environmental impact of chemical inputs. This study investigated the effects of various weed and nutrient management practices on potato tuber yield, yield components, and quality traits. The experiments were conducted over two years (2019-2020) at the University of Kurdistan's research farm in the Dehgolan Plain, using a split-plot based on randomized complete block design with four replicates.
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