2019
DOI: 10.1007/s11104-019-04403-4
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Positive legacy effect of previous legume proportion in a ley on the performance of a following crop of Lolium multiflorum

Abstract: Aims We investigated the legacy effects of a previous ley's legume proportion on the performance of a following grass crop in a rotation. Methods In April 2015, a pure Lolium multiflorum L. crop was sown after the removal of legume containing swards (0-100% legumes), and was harvested four times over the following one-year period (3 times in 2015 and once the following April 2016). Labeled 15 N fertilizer (50 kg N ha −1) was applied during the 2nd and 3rd re-growth periods to determine N fluxes. Results Across… Show more

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Cited by 19 publications
(28 citation statements)
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“…The aboveground biomass yield was harvested as part of the study outlined in Fox et al. (2020). For the purposes of the present study, the phosphorus (P) content of L. multiflorum from the June legacy harvest was determined via ICP‐OES.…”
Section: Methodsmentioning
confidence: 99%
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“…The aboveground biomass yield was harvested as part of the study outlined in Fox et al. (2020). For the purposes of the present study, the phosphorus (P) content of L. multiflorum from the June legacy harvest was determined via ICP‐OES.…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, because the response of fOTU richness, the relative abundance of the fungal phylum Glomeromycota in March, and P yield in June, were related to Tp abundance, the effect of Tp proportion and its associated legacy effect on these responses was analyzed via linear regression (for the end of the conditioning phase) or linear mixed effects regression (for the legacy samplings, as this was a repeated measure, Pinheiro & Bates, 2000). Both types of models included a quadratic legume proportion term to allow for flexibility in the response curves (Fox et al., 2020), and the marginal and conditional R 2 values for the linear mixed models were calculated as described in Nakagawa and Schielzeth (2013). The range of realized Tp proportions for which any of the response variables were significantly different from the value at 0% Tp proportion was calculated using the Johnson–Neyman technique (Potthoff, 2006).…”
Section: Methodsmentioning
confidence: 99%
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