The aim of the Teagasc Crops, Environment and Land Use Programme is to develop and transfer cost-effective crop production systems, along with evidence-based knowledge to support and underpin the development of an environmentally sustainable, competitive and profitable agri-food sector.

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  • Impact of competition on the early growth and physiological responses of potential short-rotation forestry species in Ireland

    Foreman, Susie; Department of Agriculture, Food and the Marine; 13/C/498 (2019-07)
    The impact of planting density on the growth and physiological response of three potential short rotation forestry species, shining gum (Eucalyptus nitens (Deane & Maiden) Maiden), Italian alder (Alnus cordata (Loisel.) Duby) and Sitka spruce (Picea sitchensis (Bong.) Carrière) were investigated in this study over a four-year period. The three species were planted in a field trial in Co. Wexford. The trial was laid down as a randomised block design containing four planting densities (1,333 – 40,000 stems ha-1) per species. Height, stem diameter, branch length, diameter and quantity, crown height, along with shade leaf only determinations of leaf area and leaf dry weight, chlorophyll concentration (Chleaf) and photosynthesis rates (PN) were measured periodically over the 4-year period. E. nitens trees produced the shallowest live crown of the three species, which decreased as planting density increased. Chleaf declined as planting density increased, but PN remained the same. E. nitens produced the greatest volume and biomass per ha-1 of the three species at the end of four years growth. Height increased and stem diameter decreased as planting density increased in A. cordata, although stem volume remained about the same. However, planting density did not affect crown volume or Chleaf in A. cordata, but PN declined as density increased. Trees of P. sitchensis grew more slowly than those of the other species during the four-year period, but it produced the densest crown at all planting densities. Competition effects were apparent at leaf level in P. sitchensis. Planting density did not affect the above-ground biomass in A. cordata or P. sitchensis, which was similar for the two species and was lower than that recorded for E. nitens. Of the three species examined, E. nitens was the most productive at all planting densities.
  • Data file: confusion matrices from pilot study of methodology for the development of farmland habitat reports for sustainability assessments

    Finn, John A.; Moran, Patrick; Teagasc; 6793 (2020-03-09)
    This Excel data file provides the confusion matrices associated with a publication in the Irish Journal of Agricultural and Food Research. This file contains four worksheets: 'High vs Low matrix', 'Level II matrix', 'Level III matrix' and 'Level III matrix (HH)'. Each worksheet presents the area of different habitat classes (as in Fossitt 2000) as determined by a desk-based study of remote sensing imagery, and compared with area of habitat classes as determined by a field-based survey (ground-truthing). The publication by John A. Finn and Patrick Moran is titled 'A pilot study of methodology for the development of farmland habitat reports for sustainability assessments'.
  • The genome sequence of Barbarea vulgaris facilitates the study of ecological biochemistry

    Byrne, Stephen L.; Østerbye Erthmann, Pernille; Agerbirk, Niels; Bak, Søren; Hauser, Thure Pavlo; Nagy, Istvan; Paina, Cristiana; Asp, Torben; Danish Council for Independent Research; 09–065899; et al. (Nature, 2017-01-17)
    The genus Barbarea has emerged as a model for evolution and ecology of plant defense compounds, due to its unusual glucosinolate profile and production of saponins, unique to the Brassicaceae. One species, B. vulgaris, includes two ‘types’, G-type and P-type that differ in trichome density, and their glucosinolate and saponin profiles. A key difference is the stereochemistry of hydroxylation of their common phenethylglucosinolate backbone, leading to epimeric glucobarbarins. Here we report a draft genome sequence of the G-type, and re-sequencing of the P-type for comparison. This enables us to identify candidate genes underlying glucosinolate diversity, trichome density, and study the genetics of biochemical variation for glucosinolate and saponins. B. vulgaris is resistant to the diamondback moth, and may be exploited for “dead-end” trap cropping where glucosinolates stimulate oviposition and saponins deter larvae to the extent that they die. The B. vulgaris genome will promote the study of mechanisms in ecological biochemistry to benefit crop resistance breeding.
  • TaLAM: Mapping Land Cover in Lowlands and Uplands with Satellite Imagery

    Cawkwell, Fiona; Raab, Christoph; Barrett, Brian; Green, Stuart; Finn, John A.; Environmental Protection Agency (Environmental Protection Agency, 2018-07)
    The Towards Land Cover Accounting and Monitoring (TaLAM) project is part of Ireland’s response to creating a national land cover mapping programme. Its aims are to demonstrate how the new digital map of Ireland, Prime2, from Ordnance Survey Ireland (OSI), can be combined with satellite imagery to produce land cover maps.
  • Phosphorus and nitrogen losses from temperate permanent grassland on clay-loam soil after the installation of artificial mole and gravel mole drainage

    Valbuena-Parralejo, N.; Fenton, Owen; Tuohy, Patrick; Williams, M.; Lanigan, Gary; Humphreys, James; Teagasc Walsh Fellowship Programme; Department of Agriculture, Food and the MArine; RSF11152 (Elsevier, 2018-12-14)
    Mole (M) and gravel-mole (GM) drainage systems improve the permeability of soils with high clay contents. They collect and carry away infiltrating water during episodic rainfall events. Characterisation of nutrient fluxes (concentration and flows) in overland flow (OF) and in mole drain flow (MF) across sequential rainfall events is important for environmental assessment of such drainage systems. The objective of this study is to assess the impact of drainage systems on soil nutrient losses. Three treatments were imposed on grazed permanent grassland on a clay loam soil in Ireland (52°30′N, 08°12′W) slope 1.48%: undrained control (C), mole drainage (M) and gravel mole drainage (GM). Plots (100 m × 15 m) were arranged in a randomized complete block design with four replicated blocks. Nitrogen (N) and phosphorus (P) concentrations in OF, MF and groundwater (GW) were measured from each plot over 15 consecutive rainfall events. The results showed that M and GM (P < 0.05) deepened the watertable depth and decreased OF. M and GM increased losses of nitrate-N (22%) and ammonium-N (14%) in GW. Nitrate-N concentrations from all the flow pathways (mean and standard error (s.e.): 0.99 s.e. 0.10 mg L−1) were well below the 11.3 mg L−1 threshold for drinking water. Ammonium-N concentrations from all the flow pathways (mean: 0.64 s.e. 0.14 mg L−1) exceeded drinking water quality standards. On the other hand M and GM lowered total P losses (mean annual losses from C, M and GM: 918, 755 and 853 s.e. 14.1 g ha−1 year−1) by enhancing soil P sorption. Hence M and GM can be implemented on farms under similar management to that described in the present study with a minor impact on N (increased concentration on averaged 18% to GW) and P (reduced by on avenged 114 g ha−1 year−1).
  • Nitrogen fertiliser interactions with urine deposit affect nitrous oxide emissions from grazed grasslands

    Maire, J.; Krol, Dom; Pasquier, D.; Cowan, N.; Skiba, U.; REes, R.M.; REay, D.; Lanigan, Gary; Richards, Karl J.; Teagasc Walsh Fellowship Programme; et al. (Elsevier, 2019-12-06)
    Cattle excreta deposited on grazed pastures are responsible for one fifth of the global anthropogenic nitrous oxide (N2O) emissions. One of the key nitrogen (N) sources is urine deposited from grazing animals, which contributes to very large N loadings within small areas. The main objective of this plot study was to establish whether the application of N fertiliser and urine deposit from dairy cows synergistically interacts and thereby increases N2O emissions, and how such interaction is influenced by the timing of application. The combined application of fertiliser (calcium ammonium nitrate) and urine significantly increased the cumulative N2O emissions as well as the N2O emission factor (EF) from 0.35 to 0.74 % in spring and from 0.26 to 0.52 % in summer. By contrast, EFs were lower when only fertiliser (0.31 % in spring, 0.07 % in summer) or urine was applied (0.33 % in spring, 0.28 % in summer). In autumn, N2O emissions were larger than in other seasons and the emissions from the combined application were not statistically different to those from either the separately applied urine or N fertiliser (EF ranging from 0.72 to 0.83, p-value < 0.05). The absence of significant synergistic effect could be explained by weather conditions, particularly rainfall during the three days prior to and after application in autumn. This study implies that the interactive effects of N fertilisation and urine deposit, as well as the timing of the application on N2O emission need to be taken into account in greenhouse gas emission inventories.
  • A Functional Land Management conceptual framework under soil drainage and land use scenarios

    Coyle, Cait; Creamer, Rachel E.; Schulte, Rogier P.; O'Sullivan, Lilian; Jordan, Phil; Institute of Technology, Sligo (Elsevier, 2015-11-15)
    Agricultural soils offer multiple soil functions, which contribute to a range of ecosystem services, and the demand for the primary production function is expected to increase with a growing world population. Other key functions on agricultural land have been identified as water purification, carbon sequestration, habitat biodiversity and nutrient cycling, which all need to be considered for sustainable intensification. All soils perform all functions simultaneously, but the variation in the capacity of soils to supply these functions is reviewed in terms of defined land use types (arable, bio-energy, broadleaf forest, coniferous forest, managed grassland, other grassland and Natura 2000) and extended to include the influence of soil drainage characteristics (well, moderately/imperfect, poor and peat). This latter consideration is particularly important in the European Atlantic pedo-climatic zone; the spatial scale of this review. This review develops a conceptual framework on the multi-functional capacity of soils, termed Functional Land Management, to facilitate the effective design and assessment of agri-environmental policies. A final functional soil matrix is presented as an approach to show the consequential changes to the capacity of the five soil functions associated with land use change on soils with contrasting drainage characteristics. Where policy prioritises the enhancement of particular functions, the matrix indicates the potential trade-offs for individual functions or the overall impact on the multi-functional capacity of soil. The conceptual framework is also applied by land use area in a case study, using the Republic of Ireland as an example, to show how the principle of multi-functional land use planning can be readily implemented.
  • Assessing the role of artificially drained agricultural land for climate change mitigation in Ireland

    Paul, Carsten; Fealy, Reamonn; Fenton, Owen; Lanigan, Gary; O’Sullivan, Lilian; Schulte, Rogier P.; Irish Dairy Research Fund; Teagasc Greenhouse Gas Working Group; Department of Agriculture, Food and the Marine (Elsevier, 2017-12-19)
    In 2014 temperate zone emission factor revisions were published in the IPCC Wetlands Supplement. Default values for direct CO2 emissions of artificially drained organic soils were increased by a factor of 1.6 for cropland sites and by factors ranging from 14 to 24 for grassland sites. This highlights the role of drained organic soils as emission hotspots and makes their rewetting more attractive as climate change mitigation measures. Drainage emissions of humic soils are lower on a per hectare basis and not covered by IPCC default values. However, drainage of great areas can turn them into nationally relevant emission sources. National policy making that recognizes the importance of preserving organic and humic soils’ carbon stock requires data that is not readily available. Taking Ireland as a case study, this article demonstrates how a dataset of policy relevant information can be generated. Total area of histic and humic soils drained for agriculture, resulting greenhouse gas emissions and climate change mitigation potential were assessed. For emissions from histic soils, calculations were based on IPCC emission factors, for humic soils, a modified version of the ECOSSE model was used. Results indicated 370,000 ha of histic and 426,000 ha of humic soils under drained agricultural land use in Ireland (8% and 9% of total farmed area). Calculated annual drainage emissions were 8.7 Tg CO2e from histic and 1.8 Tg CO2e from humic soils (equal to 56% of Ireland’s agricultural emissions in 2014, excluding emissions from land use). If half the area of drained histic soils was rewetted, annual saving would amount to 3.2 Tg CO2e. If on half of the deep drained, nutrient rich grasslands drainage spacing was decreased to control the average water table at −25 cm or higher, annual savings would amount to 0.4 Tg CO2e.
  • A sub-field scale critical source area index for legacy phosphorus management using high resolution data

    Thomas, Ian A.; Mellander, Per-Erik; Murphy, Paul; Fenton, Owen; Shine, Oliver; Djodjic, Faruk; Dunlop, Paul; Jordan, Phil; Teagasc Walsh Fellowship Programme; Department of Agriculture, Food and the Marine; et al. (Elsevier, 2016-09-25)
    Diffuse phosphorus (P) mitigation in agricultural catchments should be targeted at critical source areas (CSAs) that consider source and transport factors. However, development of CSA identification needs to consider the mobilisation potential of legacy soil P sources at the field scale, and the control of (micro)topography on runoff generation and hydrological connectivity at the sub-field scale. To address these limitations, a ‘next generation’ sub-field scale CSA index is presented, which predicts the risk of dissolved P losses in runoff from legacy soil P. The GIS-based CSA Index integrates two factors; mobile soil P concentrations (water extractable P; WEP) and a hydrologically sensitive area (HSA) index. The HSA Index identifies runoff-generating-areas using high resolution LiDAR Digital Elevation Models (DEMs), a soil topographic index (STI) and information on flow sinks and effects on hydrological connectivity. The CSA Index was developed using four intensively monitored agricultural catchments (7.5–11 km2) in Ireland with contrasting agri-environmental conditions. Field scale soil WEP concentrations were estimated using catchment and land use specific relationships with Morgan P concentrations. In-stream total reactive P (TRP) concentrations and discharge were measured sub-hourly at catchment outlet bankside analysers and gauging stations during winter closed periods for fertiliser spreading in 2009–14, and hydrograph/loadograph separation methods were used to estimate TRP loads and proportions from quickflow (surface runoff). A strong relationship between TRP concentrations in quickflow and soil WEP concentrations (r2 = 0.73) was used to predict dissolved P concentrations in runoff at the field scale, which were then multiplied by the HSA Index to generate sub-field scale CSA Index maps. Evaluation of the tool showed a very strong relationship between the total CSA Index value within the HSA and the total TRP load in quickflow (r2 = 0.86). Using a CSA Index threshold value of ≥0.5, the CSA approach identified 1.1–5.6% of catchment areas at highest risk of legacy soil P transfers, compared with 4.0–26.5% of catchment areas based on an existing approach that uses above agronomic optimum soil P status. The tool could be used to aid cost-effective targeting of sub-field scale mitigation measures and best management practices at delivery points of CSA pathways to reduce dissolved P losses from legacy P stores and support sustainable agricultural production.
  • Soil bacterial community structure and functional responses across a long-term mineral phosphorus (Pi) fertilisation gradient differ in grazed and cut grasslands

    Randall, Kate; Brennan, Fiona; Clipson, Nicholas; Creamer, Rachel; Griffiths, Bryan; Storey, Sean; Doyle, Evelyn; Programme for Research in Third-Level Institutions; European Regional Development Fund (Elsevier, 2019-03-06)
    Grasslands form a significant proportion of land used across the globe and future management is important. The objective of this study was to compare the long-term impact of inorganic phosphorus (Pi) fertilisation rates (P0, P15 and P30 ha−1 yr−1) under two grass management trials (grazed vs. cut and removed) on soil physicochemical properties, microbial biomass, phosphomonoesterase activity, bacterial community structure and abundance of a phosphorus (P) mineralising gene (phoD). Under grazing, microbial biomass and soil phosphorus concentrations (total and Pi) generally increased with Pi fertilisation rate, accompanied by significant differences in bacterial community structure between unfertilised (P0) and P30 soil. At the cut and removed site, although Pi was significantly greater in P30 soil, P concentrations (total and Pi) did not increase to the same extent as for grazing, with microbial biomass and bacterial community structures unresponsive to Pi fertilisation. Despite differences in soil P concentrations (total and Pi) and microbial biomass between sites, the abundance of bacterial phoD increased with increasing soil Pi across both sites, while phosphomonoesterase activity decreased. Amplicon sequencing revealed Acidobacteria were the dominant bacterial phylum across both grasslands, but significant differences in relative abundances of bacterial genera were detected at the grazed site only. The bacterial genera Gp6 and Gp16 increased significantly with Pi fertilisation under grazing. Conversely, Bradyrhizobium as well as unclassified genus-type groups belonging to Actinobacteria and Acidimicrobiales significantly decreased with Pi fertilisation, suggesting potential roles in P mobilisation when soil Pi concentrations are low. This study highlights the importance of long-term Pi fertilisation rates and aboveground vegetation removal in shaping soil bacterial community structure and microbial biomass, which in turn may impact soil fertility and plant productivity within agricultural soils.
  • Mushroom Virus X (MVX) prevention

    Gaze, Richard; Grogan, Helen (Teagasc (Agriculture and Food Development Authority), IrelandHorticultural Development Council, 2007)
    This factsheet is a summary of the most important information currently available. Its objective is to provide guidance to the recognition, prevention and control of the disease.
  • Identification and control of dry bubble disease of mushrooms

    Gaze, Richard; Grogan, Helen (Teagasc (Agriculture and Food Development Authority), IrelandHorticultural Development Council, 2008)
    This factsheet is a summary of the most important information currently available on Dry bubble disease of mushrooms (Verticillium fungicola). Its objective is to provide guidance to the recognition, prevention and control of the disease.
  • Identification and control of Cobweb disease on mushrooms

    Grogan, Helen; Gaze, Richard (Teagasc (Agriculture and Food Development Authority), IrelandHorticultural Development Council, 2008)
    This factsheet is a summary of the most important information currently available on Cobweb disease (Cladobotryum spp.). Its objective is to provide guidance on the recognition, prevention and control of the disease.
  • Chronic nutrient inputs affect stream macroinvertebrate communities more than acute inputs: An experiment manipulating phosphorus, nitrogen and sediment

    Davis, Stephen J; O hUallachain, Daire; Mellander, Per-Erik; Matthaei, Christoph; Piggott, Jeremy; Kelly-Quinn, Mary; Teagasc Walsh Fellowship Programme (Elsevier, 2019-05-07)
    Freshwaters worldwide are affected by multiple stressors. Timing of inputs and pathways of delivery can influence the impact stressors have on freshwater communities. In particular, effects of point versus diffuse nutrient inputs on stream macroinvertebrates are poorly understood. Point-source inputs tend to pose a chronic problem, whereas diffuse inputs tend to be acute with short concentration spikes. We manipulated three key agricultural stressors, phosphorus (ambient, chronic, acute), nitrogen (ambient, chronic, acute) and fine sediment (ambient, high), in 112 stream mesocosms (26 days colonisation, 18 days of manipulations) and determined the individual and combined effects of these stressors on stream macroinvertebrate communities (benthos and drift). Chronic nutrient treatments continuously received high concentrations of P and/or N. Acute channels received the same continuous enrichment, but concentrations were doubled during two 3-hour periods (day 6, day 13) to simulate acute nutrient inputs during rainstorms. Sediment was the most pervasive stressor in the benthos, reducing total macroinvertebrate abundance and richness, EPT (mayflies, stoneflies, caddisflies) abundance and richness. By contrast, N or P enrichment did not affect any of the six studied community-level metrics. In the drift assemblage, enrichment effects became more prevalent the longer the experiment went on. Sediment was the dominant driver of drift responses at the beginning of the experiment. After the first acute nutrient pulse, sediment remained the most influential stressor but its effects started to fade. After the second pulse, N became the dominant stressor. In general, impacts of either N or P on the drift were due to chronic exposure, with acute nutrient pulses having no additional effects. Overall, our findings imply that cost-effective management should focus on mitigating sediment inputs first and tackle chronic nutrient inputs second. Freshwater managers should also take into account the length of exposure to high nutrient concentrations, rather than merely the concentrations themselves.
  • Spent Mushroom Compost 'Fertilizer or Fuel'

    Walsh, Gerry (Bord Bia, 2009-05-21)
  • Comparison of photosynthetic performance of Fagus sylvatica seedlings under natural and artificial shading

    Sevillano, Ignacio; Short, Ian; Campion, Jerry; Grant, Olga M.; Grant, Jim; O’Reilly, Conor; Department of Agriculture, Food and the Marine; Teagasc Walsh Fellowship Programme (Elsevier, 2018-03-14)
    Commitment to sustainable forest management (alternatives to clearfelling) has led to a renewed interest in continuous cover forestry systems, which promote the control of light to produce stand benefits. Physiological performance of shade-tolerant European beech (Fagus sylvatica L.) in response to light availability was investigated in natural regeneration below the canopy in contrast to planted seedlings under artificial-shade conditions. Although beech seedlings had higher photosynthetic capacity with increasing light availability, they were able to maintain positive CO2 assimilation rates under low light levels in both field and controlled conditions. Leaves of seedlings under low light had the ability to use light more efficiently (higher PSII efficiency) than those in high light, which offer some physiological explanation for the ability of beech seedlings to grow under very low light conditions. Whilst caution is advised to interpret results from controlled to field studies, the overall general correspondence in the trend of the physiological response to light levels within beech grown below the canopy and under artificial-shade conditions suggests that it might be possible to extrapolate results from studies performed under artificial shade (nets) to field conditions. Hence, the use of nets may be an alternative way of assessing the potential physiological responses of seedlings to light availability.
  • Influence of stormflow and baseflow phosphorus pressures on stream ecology in agricultural catchments

    Shore, Mairead; Murphy, Sinead; Mellander, Per-Erik; Shortle, Ger; Melland, A. R.; Crockford, Lucy; O'Flaherty, Vincent; Williams, Lauren; Morgan, Ger; Jordan, Philip; et al. (Elsevier, 2017-03-09)
    Stormflow and baseflow phosphorus (P) concentrations and loads in rivers may exert different ecological pressures during different seasons. These pressures and subsequent impacts are important to disentangle in order to target and monitor the effectiveness of mitigation measures. This study investigated the influence of stormflow and baseflow P pressures on stream ecology in six contrasting agricultural catchments. A five-year high resolution dataset was used consisting of stream discharge, P chemistry, macroinvertebrate and diatom ecology, supported with microbial source tracking and turbidity data. Total reactive P (TRP) loads delivered during baseflows were low (1–7% of annual loads), but TRP concentrations frequently exceeded the environmental quality standard (EQS) of 0.035 mg L− 1 during these flows (32–100% of the time in five catchments). A pilot microbial source tracking exercise in one catchment indicated that both human and ruminant faecal effluents were contributing to these baseflow P pressures but were diluted at higher flows. Seasonally, TRP concentrations tended to be highest during summer due to these baseflow P pressures and corresponded well with declines in diatom quality during this time (R2 = 0.79). Diatoms tended to recover by late spring when storm P pressures were most prevalent and there was a poor relationship between antecedent TRP concentrations and diatom quality in spring (R2 = 0.23). Seasonal variations were less apparent in the macroinvertebrate indices; however, there was a good relationship between antecedent TRP concentrations and macroinvertebrate quality during spring (R2 = 0.51) and summer (R2 = 0.52). Reducing summer point source discharges may be the quickest way to improve ecological river quality, particularly diatom quality in these and similar catchments. Aligning estimates of P sources with ecological impacts and identifying ecological signals which can be attributed to storm P pressures are important next steps for successful management of agricultural catchments at these scales.
  • Development of a scoring method to identify important areas of plant diversity in Ireland

    Walsh, Aidan; Sullivan, C. A.; Waldren, Stephen; Finn, John A.; Irish Research Council; Teagasc Walsh Fellowship Programme; PD/2011/2150; 2011012 (Elsevier, 2018-10-28)
    In the face of accelerating biodiversity loss it is more important than ever to identify important areas of biodiversity and target limited resources for conservation. We developed a method to identify areas of important plant diversity using known species’ distributions and evaluations of the species importance. We collated distribution records of vascular plants and developed a scoring method of spatial prioritisation to assign conservation value to the island of Ireland at the hectad scale (10 km × 10 km) and at the tetrad scale (2 km × 2 km) for two counties where sufficient data were available. Each plant species was assigned a species conservation value based on both its conservation status and distribution in Ireland. For each cell, the species conservation values within the cell were summed, thereby differentiating between areas of high and low conservation value across the landscape. Areas with high conservation value represent the most important areas for plant conservation. The protected area cover and the number of species present in these important areas were also examined by first defining threshold values using two different criteria. Species representation was high in the important areas; the identified important areas of plant diversity maintained high representation of species of conservation concern and achieved high species representation overall, requiring a low number of sites (<8%) to do so. The coincidence of protected areas and important areas for plant diversity was found to be low and while some important areas of plant diversity might benefit from the general protection afforded by these areas, our research highlights the need for conservation outside of protected areas.
  • Quantitative risk assessment of antimicrobials in biosolids applied on agricultural land and potential translocation into food

    Clarke, Rachel; Healy, Mark G.; Fenton, Owen; Cummins, Enda; European Union ERASMUS+; 2014-1-MT01-K200-000327 (Elsevier, 2017-12-30)
    The use of biosolids as a fertiliser may be an indirect route for contaminants into the food chain. One of the main concerns regarding the spreading of biosolids on agricultural land is the potential uptake of contaminants into plants which may bio-transfer into grazing animals that supply the food chain directly (e.g. meat and milk) and hence are subsequently consumed. The aim of this project was to create a quantitative risk assessment model to estimate the fate and translocation of triclosan (TCS) and triclocarban (TCC) into the feed (grass) and food chain with subsequent human exposure. The model's results indicate that TCS and TCC have low potential to transfer into milk and beef following the ingestion of contaminated grass by dairy cows. Mean estimated TCS and TCC residues in milk and beef show that TCC had the greatest concentration (mean values of 7.77 × 10− 6 mg kg− 1 in milk and 1.36 × 10− 4 mg kg− 1 in beef). Human exposure results show that TCC was greater for milk consumption in infants (1–4 years) (mean value 1.14 × 10− 7 mg kg− 1 bw d− 1) and for beef consumption by teens (12–17 years) (mean value 6.87 × 10− 8 mg kg− 1 bw d− 1). Concentrations of TCS and TCC were well below the estimated acceptable daily intake (ADI). Human health risk was estimated by evaluation of the hazard quotient (HQ), which used the NOAEL as a toxicity endpoint, combined with milk and beef human exposure estimates. HQ results show that all values were < 0.01 (no existing risk). A sensitivity analysis revealed that the Kow and initial concentration in biosolids as the parameters of greatest importance (correlation coefficients 0.91 and 0.19, respectively). This highlights the importance of physio-chemical properties of the compounds and their detection in biosolids post wastewater treatment along with their persistence in soil following application. This model is a valuable tool in which to ascertain the potential transfer of contaminants in the environment into animal forage with knock on consequences for exposure through the human food chain.

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