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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Powlson, D. S.; Poulton, P. R.;

    In the Broadbalk Experiment at Rothamsted winter wheat has been grown in monoculture since 1843; wheat in rotation and additional treatments have been introduced during the course of the experiment. Since 1968, when new crop varieties and fungicides were introduced, yields have averaged over 6 t ha‐1with either inorganic fertilizers or farmyard manure. With high‐yielding varieties of winter wheat on Boardbalk, or spring barley on the Hoosfield experiment, maximum yields are currently achieved with a combination of inorganic and organic inputs. The long‐term experiments have provided much information on the losses of nitrate and phosphate to water from different treatments and also on the impact of recent decreases of sulphur deposition on soil S dynamics and crop composition. Archived samples of soils and crops from the Park Grass Experiment (continuous cut pasture) and experiments in which arable land has reverted to forest have provided information on soil acidification. This has resulted mainly from acid deposition, previously SO2 but now dominated by oxides of nitrogen. Acidification has caused the mobilization of toxic metals including Al, Mn and Zn and their increased uptake in herbage. Archived samples have also made it possible to study the deposition and accumulation of metals and organic pollutants in soils and crops and the changes in soil organic carbon and nitrogen content resulting from different management practices. Such data has been used to construct models of soil C and N dynamics. The on‐going sites provide experimental material for biological studies including fertilizer and management impacts on nitrous oxide fluxes and for testing hypotheses on soil biodiversity and quality.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Archives of Agronomy...arrow_drop_down
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    Authors: Claudia Arndt; Tom Misselbrook; Andres Vega; Ricardo González-Quintero; +3 Authors

    Agriculture is the largest source of ammonia (NH3) emissions. As NH3 is an indirect greenhouse gas, NH3 measurements are crucial to improving greenhouse gas emission inventory estimates. Moreover, NH3 emissions have wider implications for environmental and human health. Only a few studies have measured NH3 emissions from pastures in the tropics and subtropics and none has compared emissions to inventory estimates. The objectives of this study were to (1) measure NH3 emissions from dairy pastures in tropical and subtropical regions; (2) calculate NH3 emissions factors (EF) for each campaign; and (3) compare measured EF with those based on the 2006 Intergovernmental Panel on Climate Change (IPCC) Tier 1, 2019 Refinement to the 2006 IPCC Tier 1, and the European Monitoring and Evaluation Programme/European Environmental Agency (EMPE/EEA) Tier 2 inventory estimates. Pasture NH3 emissions were measured on 3 dairy farms in Costa Rica. On each dairy, NH3 emissions were measured twice during the wet season and once during the dry season using a micrometeorological integrated horizontal-flux mass-balance method. Emissions were measured from excreta (dung and urine) deposited by grazing cattle and the subsequent application of organic (slurry) or synthetic fertilizer (ammonium nitrate or urea). Measured EF for all campaigns [from grazing cattle excreta and any subsequent slurry or fertilizer application; 4.9 ± 0.9% of applied nitrogen (mean ± SE)] were similar to those of the EMEP/EEA Tier 2 approach (6.1 ± 0.9%; mean ± SE) and 4 times lower than 2006 IPCC and 2019 Refinement to 2006 IPCC Tier 1 default estimates (17.7 ± 1.4 and 18.2 ± 0.9%, respectively; mean ± SE). Measured EF for excreta deposited on pasture and excreta both deposited on pasture and slurry application [3.9 ± 2.1 and 4.2 ± 2.1% (mean ± 95% CI), respectively] were 5 times lower than default EF assumed by 2006 IPCC and 2019 Refinement to 2006 IPCC methodology (both 20 and 21%, respectively), whereas EMEP/EAA estimates were similar [6.0 and 4.6 ± 0.3% (mean ± 95% CI), respectively]. This suggests an overestimation of EF from excreta deposited on pasture and slurry applications in tropical and subtropical regions by IPCC methodologies. Furthermore, rainfall, which is not included as a parameter in the current EMEP/EEA Tier 2 methodology, appeared to reduce NH3 emissions, suggesting that accounting for this in the inventory methodologies could improve inventory estimates.

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    Journal of Dairy Science; Rothamsted Repository
    Article . 2020 . Peer-reviewed
    License: Elsevier Non-Commercial
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    Journal of Dairy Science
    Article
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      Journal of Dairy Science; Rothamsted Repository
      Article . 2020 . Peer-reviewed
      License: Elsevier Non-Commercial
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      Journal of Dairy Science
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    Authors: Chaussalet, T. J.; Mann, J. A.; Perry, J. N.; Francos-Rodriguez, J. C.;

    Abstract The spread of insect vectored plant virus diseases such as barley yellow dwarf virus has traditionally been depicted as disease progress curves which represent an integration of the interactions between virus, host plant and vector. In this paper, virus spread is described by the probability of a plant becoming infected conditioned on the number of infected plants neighbouring it. This has the advantage that the influence of aphid movement can be incorporated into the definition of the probability of a neighbour becoming infected. Data were collected from an experimental field of barley (cv. Alexis) sown at a row spacing of 12 cm on 29 March 1993 at Rothamsted Experimental Station. Twelve plots, each approximately 84×70 cm were divided into a 7×7 grid of cells. The plots were arranged in four blocks, each with two treatments T1 (S. avenae adults) and T2 (S. avenae nymphs) and an untreated control. The probabilities of a plant, or rather a cell which is a group of plants, becoming infected conditioned on the number of its infected neighbours was estimated from this experiment considering various neighbourhoods. These probability estimates were then used to develop visual interactive simulation models of spread on a 51×51 grid of cells. In all simulation models, the central cell was set as infected at the start of the simulation to match the experimental design for treatments T1 and T2. The simulations were run for a 15-week period, replicated 50 times, and the resulting infection counts were averaged. These simulations were used to estimate the rate of spread of BYDV and to perform a range of sensitivity analyses.

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    Authors: Granger, S. J.; Bol, R.; Dixon, L.; Naden, P. S.; +6 Authors

    A study was undertaken on drained and undrained 1 ha grassland lysimeters to assess the effectiveness of multiple novel tracing techniques in understanding how agricultural slurry waste moves from land to water. Artificial fluorescent particles designed to mimic the size and density of organic slurry particles were found to move off the grassland via inter-flow (surface + lateral through-flow) and drain-flow. Where both pathways were present the drains carried the greater number of particles. The results of the natural fluorescence and delta C-13 of water samples were inconclusive. Natural fluorescence was higher from slurry-amended lysimeters than from zero-slurry lysimeters, however, a fluorescence decay experiment suggested that no slurry signal should be present given the time between slurry application and the onset of drainage. The delta C-13 values of >0.7 mm and 0.7 mm delta C-13 in water from the drain-flow pathways was higher from the lysimeter which had received naturally enriched maize slurry compared to the lysimeter which received grass slurry indicating a contribution of slurry-derived material. Values of <0.7 mm delta C-13 from the same pathway, however, produced counter intuitive trends and may indicate that different fractions of the slurry have different delta C-13 values.

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    Cranfield CERES
    Article . 2010
    Data sources: Cranfield CERES
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      Cranfield CERES
      Article . 2010
      Data sources: Cranfield CERES
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    Authors: Willison, T. W.; Goulding, K. W. T.; Powlson, D. S.; Webster, C. P.;

    The atmospheric concentration of the greenhouse gas methane has more than doubled in the past 100 years as a result of increases in methane sources such as paddy cultivation, ruminant husbandry and fossil fuel combustion. Research at IACR-Rothamsted over the last three years has highlighted the importance of aerobic soils as a sink for methane. Our work has shown how land management and agricultural practices can be key to determining the soil sink strength for methane. This article describes the results and reasons for the interactions of farming, fertilizers and the greenhouse effect.

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    Rothamsted Repository; Outlook on Agriculture
    Other literature type . Article . 1995 . Peer-reviewed
    License: SAGE TDM
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      Rothamsted Repository; Outlook on Agriculture
      Other literature type . Article . 1995 . Peer-reviewed
      License: SAGE TDM
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    Authors: Jon S. West; J. A. Townsend; Mark Stevens; Bruce D.L. Fitt;

    This review describes environmental factors that influence severity of crop disease epidemics, especially in the UK and north-west Europe, in order to assess the effects of climate change on crop growth and yield and severity of disease epidemics. While work on some diseases, such as phoma stem canker of oilseed rape and fusarium ear blight of wheat, that combine crop growth, disease development and climate change models is described in detail, climate-change projections and predictions of the resulting biotic responses to them are complex to predict and detailed models linking climate, crop growth and disease development are not available for many crop-pathogen systems. This review uses a novel approach of comparing pathogen biology according to ‘ecotype’ (a categorization based on aspects such as epidemic type, dissemination method and infection biology), guided by detailed disease progress models where available to identify potential future research priorities for disease control. Consequences of projected climate change are assessed for factors driving elements of disease cycles of fungal pathogens (nine important pathogens are assessed in detail), viruses, bacteria and phytoplasmas. Other diseases classified according to ‘ecotypes’ were reviewed and likely changes in their severity used to guide comparable diseases about which less information is available. Both direct and indirect effects of climate change are discussed, with an emphasis on examples from the UK, and considered in the context of other factors that influence diseases and particularly emergence of new diseases, such as changes to farm practices and introductions of exotic material and effects of other environment changes such as elevated CO2. Good crop disease control will contribute to climate change mitigation by decreasing greenhouse gas emissions from agriculture while sustaining production. Strategies for adaptation to climate change are needed to maintain disease control and crop yields in north-west Europe.

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    Rothamsted Repository; European Journal of Plant Pathology
    Article . 2012 . Peer-reviewed
    License: Springer TDM
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      Rothamsted Repository; European Journal of Plant Pathology
      Article . 2012 . Peer-reviewed
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    Authors: Clarke, D.; Hess, Tim M.; Haro Monteagudo, David; Semenov, Mikhail M.; +1 Authors

    Abstract Droughts pose a major risk to agricultural production. By comparing the outputs from an ecophysiological crop model (Sirius) with four drought severity indicators (DSI), a comparative assessment of the impacts of drought risk on wheat yield losses has been evaluated under current (baseline) and two future climate scenarios. The rationale was to better understand the relative merits and limitations of each approach from the perspective of quantifying agricultural drought impacts on crop productivity. Modelled yield losses were regressed against the highest correlated variant for each DSI. A cumulative distribution function of yield loss for each scenario (baseline, near and far future) was calculated as a function of the best fitting DSI (SPEI-5July) and with the equivalent outputs from the Sirius model. Comparative analysis between the two approaches highlighted large differences in estimated yield loss attributed to drought, both in terms of magnitude and direction of change, for both the baseline and future scenario. For the baseline, the average year differences were large (0.25 t ha−1 and 1.4 t ha−1 for the DSI and Sirius approaches, respectively). However, for the dry year, baseline differences were substantial (0.7 t ha−1 and 2.7 t ha−1). For the DSI approach, future yield losses increased up to 1.25 t ha−1 and 2.8 t ha−1 (for average and dry years, respectively). In contrast, the Sirius modelling showed a reduction in future average yield loss, down from a baseline 1.4 t ha−1 to 1.0 t ha−1, and a marginal reduction for a future dry year from a baseline of 2.7 t ha−1 down to 2.6 t ha−1. The comparison highlighted the risks in adopting a DSI response function approach, particularly for estimating future drought related yield losses, where changing crop calendars and the impacts of CO2 fertilisation on yield are not incorporated. The challenge lies in integrating knowledge from DSIs to understand the onset, extent and severity of an agricultural drought with ecophysiological crop modelling to understand the yield responses and water use relations with respect to changing soil moisture conditions.

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    Authors: Pickett, John A.; Aradottír, Gudbjorg I.; Birkett, Michael A.; Bruce, Toby J. A.; +9 Authors

    To reduce the need for seasonal inputs, crop protection will have to be delivered via the seed and other planting material. Plant secondary metabolism can be harnessed for this purpose by new breeding technologies, genetic modification and companion cropping, the latter already on-farm in sub-Saharan Africa. Secondary metabolites offer the prospect of pest management as robust as that provided by current pesticides, for which many lead compounds were, or are currently deployed as, natural products. Evidence of success and promise is given for pest management in industrial and developing agriculture. Additionally, opportunities for solving wider problems of sustainable crop protection, and also production, are discussed.

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    Rothamsted Repository; Philosophical Transactions of the Royal Society B Biological Sciences
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    Philosophical Transactions of the Royal Society B Biological Sciences
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    Authors: Collins, A. L.; Zhang, Y.; Upadhayay, H.; Pulley, S.; +4 Authors

    Water quality impairment by elevated sediment loss is a pervasive problem for global water resources. Sediment management targets identify exceedance or the sediment loss ‘gap’ requiring mitigation. In the UK, palaeo-limnological reconstruction of sediment loss during the 100–150 years pre-dating the post-World War II intensification of agriculture, has identified management targets (0.20−0.35 t ha−1 yr−1) representing ‘modern background sediment delivery to rivers’. To assess exceedance on land for grazing ruminant farming, an integrated approach combined new mechanistic evidence from a heavily-instrumented experimental farm platform and a scaling out framework of modelled commercial grazing ruminant farms in similar environmental settings. Monitoring (2012–2016) on the instrumented farm platform returned sediment loss ranges of 0.11−0.14 t ha−1 yr−1 and 0.21−0.25 t ha−1 yr-1 on permanent pasture, compared with between 0.19−0.23 t ha−1 yr-1 and 0.43−0.50 t ha−1 yr−1and 0.10−0.13 t ha−1 yr−1and 0.25−0.30 t ha−1 yr-1 on pasture with scheduled plough and reseeds. Excess sediment loss existed on all three farm platform treatments but was more extensive on the two treatments with scheduled plough and reseeds. Excessive sediment loss from land used by grazing ruminant farming more strategically across England, was estimated to be up to >0.2 t ha−1 yr−1. Modelled scenarios of alternative farming futures, based on either increased uptake of interventions typically recommended by visual farm audits, or interventions selected using new mechanistic understanding for sediment loss from the instrumented farm platform, returned minimum sediment loss reductions. On the farm platform these were 2.1 % (up to 0.007 t ha−1 yr−1) and 5.1 % (up to 0.018 t ha−1 yr-1). More strategically, these were up to 2.8 % (0.014 t ha−1 yr−1) and 4.1 % (0.023 t ha−1 yr−1). Conventional on-farm measures will therefore not fully mitigate the sediment loss gap, meaning that more severe land cover change is required. Highlights • Excess sediment loss from land used by grazing ruminant farms assessed. • Modern background sediment loss rates of 0.20−0.35 t ha−1 yr−1 used as targets. • Instrumented farm platform data suggested losses up to 0.50 t ha−1 yr−1. • Modelled scaling out returned exceedances of up to >0.20 t ha−1 yr−1. • Current advisory measures cannot reduce sediment loss to the target rates. Graphical abstract

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    Authors: Mahdi Vahdanjoo; Kun Zhou; Claus G. Sørensen;

    Capacitated field operations involve input/output material flows where there are capacity constraints in the form of a specific load that a vehicle can carry. As such, a specific normal-sized field cannot be covered in one single operation using only one load, and the vehicle needs to get serviced (i.e., refilling) from out-of-field facilities (depot). Although several algorithms have been developed to solve the routing problem of capacitated operations, these algorithms only considered one depot. The general goal of this paper is to develop a route planning tool for agricultural machines with multiple depots. The tool presented consists of two modules: the first one regards the field geometrical representation in which the field is partitioned into tracks and headland passes the second one regards route optimization that is implemented by the metaheuristic simulated annealing (SA) algorithm. In order to validate the developed tool, a comparison between a well-known route planning approach, namely B-pattern, and the algorithm presented in this study was carried out. The results show that the proposed algorithm outperforms the B-pattern by up to 20.0% in terms of traveled nonworking distance. The applicability of the tool developed was tested in a case study with seven scenarios differing in terms of locations and number of depots. The results of this study illustrated that the location and number of depots significantly affect the total nonworking traversal distance during a field operation.

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    Other literature type . Article . 2020 . Peer-reviewed
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    Authors: Powlson, D. S.; Poulton, P. R.;

    In the Broadbalk Experiment at Rothamsted winter wheat has been grown in monoculture since 1843; wheat in rotation and additional treatments have been introduced during the course of the experiment. Since 1968, when new crop varieties and fungicides were introduced, yields have averaged over 6 t ha‐1with either inorganic fertilizers or farmyard manure. With high‐yielding varieties of winter wheat on Boardbalk, or spring barley on the Hoosfield experiment, maximum yields are currently achieved with a combination of inorganic and organic inputs. The long‐term experiments have provided much information on the losses of nitrate and phosphate to water from different treatments and also on the impact of recent decreases of sulphur deposition on soil S dynamics and crop composition. Archived samples of soils and crops from the Park Grass Experiment (continuous cut pasture) and experiments in which arable land has reverted to forest have provided information on soil acidification. This has resulted mainly from acid deposition, previously SO2 but now dominated by oxides of nitrogen. Acidification has caused the mobilization of toxic metals including Al, Mn and Zn and their increased uptake in herbage. Archived samples have also made it possible to study the deposition and accumulation of metals and organic pollutants in soils and crops and the changes in soil organic carbon and nitrogen content resulting from different management practices. Such data has been used to construct models of soil C and N dynamics. The on‐going sites provide experimental material for biological studies including fertilizer and management impacts on nitrous oxide fluxes and for testing hypotheses on soil biodiversity and quality.

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    Authors: Claudia Arndt; Tom Misselbrook; Andres Vega; Ricardo González-Quintero; +3 Authors

    Agriculture is the largest source of ammonia (NH3) emissions. As NH3 is an indirect greenhouse gas, NH3 measurements are crucial to improving greenhouse gas emission inventory estimates. Moreover, NH3 emissions have wider implications for environmental and human health. Only a few studies have measured NH3 emissions from pastures in the tropics and subtropics and none has compared emissions to inventory estimates. The objectives of this study were to (1) measure NH3 emissions from dairy pastures in tropical and subtropical regions; (2) calculate NH3 emissions factors (EF) for each campaign; and (3) compare measured EF with those based on the 2006 Intergovernmental Panel on Climate Change (IPCC) Tier 1, 2019 Refinement to the 2006 IPCC Tier 1, and the European Monitoring and Evaluation Programme/European Environmental Agency (EMPE/EEA) Tier 2 inventory estimates. Pasture NH3 emissions were measured on 3 dairy farms in Costa Rica. On each dairy, NH3 emissions were measured twice during the wet season and once during the dry season using a micrometeorological integrated horizontal-flux mass-balance method. Emissions were measured from excreta (dung and urine) deposited by grazing cattle and the subsequent application of organic (slurry) or synthetic fertilizer (ammonium nitrate or urea). Measured EF for all campaigns [from grazing cattle excreta and any subsequent slurry or fertilizer application; 4.9 ± 0.9% of applied nitrogen (mean ± SE)] were similar to those of the EMEP/EEA Tier 2 approach (6.1 ± 0.9%; mean ± SE) and 4 times lower than 2006 IPCC and 2019 Refinement to 2006 IPCC Tier 1 default estimates (17.7 ± 1.4 and 18.2 ± 0.9%, respectively; mean ± SE). Measured EF for excreta deposited on pasture and excreta both deposited on pasture and slurry application [3.9 ± 2.1 and 4.2 ± 2.1% (mean ± 95% CI), respectively] were 5 times lower than default EF assumed by 2006 IPCC and 2019 Refinement to 2006 IPCC methodology (both 20 and 21%, respectively), whereas EMEP/EAA estimates were similar [6.0 and 4.6 ± 0.3% (mean ± 95% CI), respectively]. This suggests an overestimation of EF from excreta deposited on pasture and slurry applications in tropical and subtropical regions by IPCC methodologies. Furthermore, rainfall, which is not included as a parameter in the current EMEP/EEA Tier 2 methodology, appeared to reduce NH3 emissions, suggesting that accounting for this in the inventory methodologies could improve inventory estimates.

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    Journal of Dairy Science; Rothamsted Repository
    Article . 2020 . Peer-reviewed
    License: Elsevier Non-Commercial
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    Journal of Dairy Science
    Article
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      Journal of Dairy Science; Rothamsted Repository
      Article . 2020 . Peer-reviewed
      License: Elsevier Non-Commercial
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      Journal of Dairy Science
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    Authors: Chaussalet, T. J.; Mann, J. A.; Perry, J. N.; Francos-Rodriguez, J. C.;

    Abstract The spread of insect vectored plant virus diseases such as barley yellow dwarf virus has traditionally been depicted as disease progress curves which represent an integration of the interactions between virus, host plant and vector. In this paper, virus spread is described by the probability of a plant becoming infected conditioned on the number of infected plants neighbouring it. This has the advantage that the influence of aphid movement can be incorporated into the definition of the probability of a neighbour becoming infected. Data were collected from an experimental field of barley (cv. Alexis) sown at a row spacing of 12 cm on 29 March 1993 at Rothamsted Experimental Station. Twelve plots, each approximately 84×70 cm were divided into a 7×7 grid of cells. The plots were arranged in four blocks, each with two treatments T1 (S. avenae adults) and T2 (S. avenae nymphs) and an untreated control. The probabilities of a plant, or rather a cell which is a group of plants, becoming infected conditioned on the number of its infected neighbours was estimated from this experiment considering various neighbourhoods. These probability estimates were then used to develop visual interactive simulation models of spread on a 51×51 grid of cells. In all simulation models, the central cell was set as infected at the start of the simulation to match the experimental design for treatments T1 and T2. The simulations were run for a 15-week period, replicated 50 times, and the resulting infection counts were averaged. These simulations were used to estimate the rate of spread of BYDV and to perform a range of sensitivity analyses.

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    Authors: Granger, S. J.; Bol, R.; Dixon, L.; Naden, P. S.; +6 Authors

    A study was undertaken on drained and undrained 1 ha grassland lysimeters to assess the effectiveness of multiple novel tracing techniques in understanding how agricultural slurry waste moves from land to water. Artificial fluorescent particles designed to mimic the size and density of organic slurry particles were found to move off the grassland via inter-flow (surface + lateral through-flow) and drain-flow. Where both pathways were present the drains carried the greater number of particles. The results of the natural fluorescence and delta C-13 of water samples were inconclusive. Natural fluorescence was higher from slurry-amended lysimeters than from zero-slurry lysimeters, however, a fluorescence decay experiment suggested that no slurry signal should be present given the time between slurry application and the onset of drainage. The delta C-13 values of >0.7 mm and 0.7 mm delta C-13 in water from the drain-flow pathways was higher from the lysimeter which had received naturally enriched maize slurry compared to the lysimeter which received grass slurry indicating a contribution of slurry-derived material. Values of <0.7 mm delta C-13 from the same pathway, however, produced counter intuitive trends and may indicate that different fractions of the slurry have different delta C-13 values.

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    Cranfield CERES
    Article . 2010
    Data sources: Cranfield CERES
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      Cranfield CERES
      Article . 2010
      Data sources: Cranfield CERES
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    Authors: Willison, T. W.; Goulding, K. W. T.; Powlson, D. S.; Webster, C. P.;

    The atmospheric concentration of the greenhouse gas methane has more than doubled in the past 100 years as a result of increases in methane sources such as paddy cultivation, ruminant husbandry and fossil fuel combustion. Research at IACR-Rothamsted over the last three years has highlighted the importance of aerobic soils as a sink for methane. Our work has shown how land management and agricultural practices can be key to determining the soil sink strength for methane. This article describes the results and reasons for the interactions of farming, fertilizers and the greenhouse effect.

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    Rothamsted Repository; Outlook on Agriculture
    Other literature type . Article . 1995 . Peer-reviewed
    License: SAGE TDM
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      Rothamsted Repository; Outlook on Agriculture
      Other literature type . Article . 1995 . Peer-reviewed
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    Authors: Jon S. West; J. A. Townsend; Mark Stevens; Bruce D.L. Fitt;

    This review describes environmental factors that influence severity of crop disease epidemics, especially in the UK and north-west Europe, in order to assess the effects of climate change on crop growth and yield and severity of disease epidemics. While work on some diseases, such as phoma stem canker of oilseed rape and fusarium ear blight of wheat, that combine crop growth, disease development and climate change models is described in detail, climate-change projections and predictions of the resulting biotic responses to them are complex to predict and detailed models linking climate, crop growth and disease development are not available for many crop-pathogen systems. This review uses a novel approach of comparing pathogen biology according to ‘ecotype’ (a categorization based on aspects such as epidemic type, dissemination method and infection biology), guided by detailed disease progress models where available to identify potential future research priorities for disease control. Consequences of projected climate change are assessed for factors driving elements of disease cycles of fungal pathogens (nine important pathogens are assessed in detail), viruses, bacteria and phytoplasmas. Other diseases classified according to ‘ecotypes’ were reviewed and likely changes in their severity used to guide comparable diseases about which less information is available. Both direct and indirect effects of climate change are discussed, with an emphasis on examples from the UK, and considered in the context of other factors that influence diseases and particularly emergence of new diseases, such as changes to farm practices and introductions of exotic material and effects of other environment changes such as elevated CO2. Good crop disease control will contribute to climate change mitigation by decreasing greenhouse gas emissions from agriculture while sustaining production. Strategies for adaptation to climate change are needed to maintain disease control and crop yields in north-west Europe.

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    Rothamsted Repository; European Journal of Plant Pathology
    Article . 2012 . Peer-reviewed
    License: Springer TDM
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      Rothamsted Repository; European Journal of Plant Pathology
      Article . 2012 . Peer-reviewed
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    Authors: Clarke, D.; Hess, Tim M.; Haro Monteagudo, David; Semenov, Mikhail M.; +1 Authors

    Abstract Droughts pose a major risk to agricultural production. By comparing the outputs from an ecophysiological crop model (Sirius) with four drought severity indicators (DSI), a comparative assessment of the impacts of drought risk on wheat yield losses has been evaluated under current (baseline) and two future climate scenarios. The rationale was to better understand the relative merits and limitations of each approach from the perspective of quantifying agricultural drought impacts on crop productivity. Modelled yield losses were regressed against the highest correlated variant for each DSI. A cumulative distribution function of yield loss for each scenario (baseline, near and far future) was calculated as a function of the best fitting DSI (SPEI-5July) and with the equivalent outputs from the Sirius model. Comparative analysis between the two approaches highlighted large differences in estimated yield loss attributed to drought, both in terms of magnitude and direction of change, for both the baseline and future scenario. For the baseline, the average year differences were large (0.25 t ha−1 and 1.4 t ha−1 for the DSI and Sirius approaches, respectively). However, for the dry year, baseline differences were substantial (0.7 t ha−1 and 2.7 t ha−1). For the DSI approach, future yield losses increased up to 1.25 t ha−1 and 2.8 t ha−1 (for average and dry years, respectively). In contrast, the Sirius modelling showed a reduction in future average yield loss, down from a baseline 1.4 t ha−1 to 1.0 t ha−1, and a marginal reduction for a future dry year from a baseline of 2.7 t ha−1 down to 2.6 t ha−1. The comparison highlighted the risks in adopting a DSI response function approach, particularly for estimating future drought related yield losses, where changing crop calendars and the impacts of CO2 fertilisation on yield are not incorporated. The challenge lies in integrating knowledge from DSIs to understand the onset, extent and severity of an agricultural drought with ecophysiological crop modelling to understand the yield responses and water use relations with respect to changing soil moisture conditions.

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    Authors: Pickett, John A.; Aradottír, Gudbjorg I.; Birkett, Michael A.; Bruce, Toby J. A.; +9 Authors

    To reduce the need for seasonal inputs, crop protection will have to be delivered via the seed and other planting material. Plant secondary metabolism can be harnessed for this purpose by new breeding technologies, genetic modification and companion cropping, the latter already on-farm in sub-Saharan Africa. Secondary metabolites offer the prospect of pest management as robust as that provided by current pesticides, for which many lead compounds were, or are currently deployed as, natural products. Evidence of success and promise is given for pest management in industrial and developing agriculture. Additionally, opportunities for solving wider problems of sustainable crop protection, and also production, are discussed.

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    Rothamsted Repository; Philosophical Transactions of the Royal Society B Biological Sciences
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    Philosophical Transactions of the Royal Society B Biological Sciences
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    Authors: Collins, A. L.; Zhang, Y.; Upadhayay, H.; Pulley, S.; +4 Authors

    Water quality impairment by elevated sediment loss is a pervasive problem for global water resources. Sediment management targets identify exceedance or the sediment loss ‘gap’ requiring mitigation. In the UK, palaeo-limnological reconstruction of sediment loss during the 100–150 years pre-dating the post-World War II intensification of agriculture, has identified management targets (0.20−0.35 t ha−1 yr−1) representing ‘modern background sediment delivery to rivers’. To assess exceedance on land for grazing ruminant farming, an integrated approach combined new mechanistic evidence from a heavily-instrumented experimental farm platform and a scaling out framework of modelled commercial grazing ruminant farms in similar environmental settings. Monitoring (2012–2016) on the instrumented farm platform returned sediment loss ranges of 0.11−0.14 t ha−1 yr−1 and 0.21−0.25 t ha−1 yr-1 on permanent pasture, compared with between 0.19−0.23 t ha−1 yr-1 and 0.43−0.50 t ha−1 yr−1and 0.10−0.13 t ha−1 yr−1and 0.25−0.30 t ha−1 yr-1 on pasture with scheduled plough and reseeds. Excess sediment loss existed on all three farm platform treatments but was more extensive on the two treatments with scheduled plough and reseeds. Excessive sediment loss from land used by grazing ruminant farming more strategically across England, was estimated to be up to >0.2 t ha−1 yr−1. Modelled scenarios of alternative farming futures, based on either increased uptake of interventions typically recommended by visual farm audits, or interventions selected using new mechanistic understanding for sediment loss from the instrumented farm platform, returned minimum sediment loss reductions. On the farm platform these were 2.1 % (up to 0.007 t ha−1 yr−1) and 5.1 % (up to 0.018 t ha−1 yr-1). More strategically, these were up to 2.8 % (0.014 t ha−1 yr−1) and 4.1 % (0.023 t ha−1 yr−1). Conventional on-farm measures will therefore not fully mitigate the sediment loss gap, meaning that more severe land cover change is required. Highlights • Excess sediment loss from land used by grazing ruminant farms assessed. • Modern background sediment loss rates of 0.20−0.35 t ha−1 yr−1 used as targets. • Instrumented farm platform data suggested losses up to 0.50 t ha−1 yr−1. • Modelled scaling out returned exceedances of up to >0.20 t ha−1 yr−1. • Current advisory measures cannot reduce sediment loss to the target rates. Graphical abstract

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    Authors: Mahdi Vahdanjoo; Kun Zhou; Claus G. Sørensen;

    Capacitated field operations involve input/output material flows where there are capacity constraints in the form of a specific load that a vehicle can carry. As such, a specific normal-sized field cannot be covered in one single operation using only one load, and the vehicle needs to get serviced (i.e., refilling) from out-of-field facilities (depot). Although several algorithms have been developed to solve the routing problem of capacitated operations, these algorithms only considered one depot. The general goal of this paper is to develop a route planning tool for agricultural machines with multiple depots. The tool presented consists of two modules: the first one regards the field geometrical representation in which the field is partitioned into tracks and headland passes the second one regards route optimization that is implemented by the metaheuristic simulated annealing (SA) algorithm. In order to validate the developed tool, a comparison between a well-known route planning approach, namely B-pattern, and the algorithm presented in this study was carried out. The results show that the proposed algorithm outperforms the B-pattern by up to 20.0% in terms of traveled nonworking distance. The applicability of the tool developed was tested in a case study with seven scenarios differing in terms of locations and number of depots. The results of this study illustrated that the location and number of depots significantly affect the total nonworking traversal distance during a field operation.

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    Other literature type . Article . 2020 . Peer-reviewed
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