Near infrared technology to determine manure nutrients

The objective of this research was to determine the effectiveness of near-infrared (NIR) technology for analyzing the nutrient content of animal waste. An NIRSystems 6500 scanning monochromator unit manufactured by Foss NIR Systems was calibrated against wet chemistry analysis data, using modified partial least squares regression analysis, to measure total solids, total Kjeldahl nitrogen, ammonia nitrogen, phosphorus, and potassium in swine lagoon effluent, swine pit manure, and dry cattle manure. Calibration samples were selected by Principal Component Analysis. On average, 7.9% of swine pit manure samples were removed as outliers, 13.4% of swine lagoon effluent samples were removed as outliers, and 5.4% of beef feedlot manure samples were removed as outliers. Correlation (r) values and ratios of data range to standard error of prediction (SEP) indicate that NIR analysis of these types of manure will be possible with further work. For swine pit manure, correlation (r) values for the constituents ranged from 0.688 (for phosphorus) to 0.920 (for total solids). The range of correlation values for swine lagoon effluent was 0.783 (for phosphorus) to 0.947 (for total solids). The beef feedlot manure analysis resulted in a range of correlation values from 0.764 (for phosphorus) to 0.955 (for total solids). The ratio of data range to standard error of prediction (SEP) indicated that total solids, TKN, NH3-N, and K are or will be predictable with further work in all three manure types. Phosphorus will be predictable with further work for swine pit manure and may be predictable in swine lagoon effluent and beef feedlot manure with further work

Effect of bromoform and linseed oil on greenhouse gas emissions from stored beef manure

Emissions of carbon dioxide, methane, and nitrous oxide – potent greenhouse gases - from stored beef feedlot manure are a significant concern relative to climate change. Research on methane reduction strategies for enteric emissions has identified the application of organic additives, such as bromoform and linseed oil, to ruminant diets as potential solutions for reducing enteric emissions and pathogenic bacteria in excreted manure. The objective of this study was to determine the effect of bromoform and linseed oil on greenhouse gas emissions from beef feedlot manure, and on E. coli concentration in beef cattle manure, during a 5-week storage period. The experiment used a completely randomized block design (CRBD) with 4 replications of 5 treatments: 5.5 g/kg and 11 g/kg of linseed oil, 4.3 g/kg, and 8.6 g/kg of bromoform, and a control receiving no additives. Treatments were added to a 3-liter mix of 50% manure, 50% soil, mixed by hand, and stored in airtight columns (10-cm diameter x 40-cm tall) in a greenhouse maintained at 25 C during the storage period. Gas samples were collected 10 times during the 5-week test period using a 15 ml syringe and were analyzed using gas chromatography to determine concentrations of methane, carbon dioxide and nitrous oxide. A 1-cm diameter core of material was removed from the top 20 cm of each column 4 times during the sampling period to conduct bacterial enumerations. Quantification of E.coli in samples was determined by incubating serial dilutions for 24 hours at 36 C and manually counting colonies. Preliminary results of the study showed that through 5 weeks of observation, 11g/kg linseed oil reduced the average concentration of E. coli (p \u3c0.05) compared to all other treatments. Preliminary results also indicate that bromoform at 8.6g/kg decreased carbon dioxide emissions but neither bromoform concentration had any significant effect on methane or nitrous oxide emissions compared to control. Linseed oil at 11g/kg increased methane emissions compared to control but neither linseed oil concentrations significantly impacted the average flux of carbon dioxide, or nitrous oxide from manure storages when compared to control

Effectiveness of Composting as a Biosecure Disposal Method for Porcine Epidemic Diarrhea Virus (PEDV)-Infected Pig Carcasses

Porcine epidemic diarrhea virus (PEDV) is an enteric disease of swine that has emerged as a worldwide threat to swine herd health and production. Substantial research has been conducted to assess viability of the virus on surfaces of vehicles and equipment, in feed and water, and on production building surfaces, but little is known about the persistence in PEDV-infected carcasses and effective disposal methods thereof. This study was conducted to quantify the persistence of PEDV RNA via quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) at various time-temperature combinations and in infected piglet carcasses subjected to composting. Although this method does not distinguish between infectious and noninfectious virus, it is a rapid and sensitive test to evaluate materials for evidence of virus genome

Relevant Information Sources in the Vast and Complex Manure Nutrient Management Network

To understand and delineate pathways for effective information transfer among professional audiences in manure nutrient management, we deployed a survey, taken by 964 professionals, addressing workforce demographics, tasks performed, and information source relevance. Findings indicate that education of industry and the public is a widespread effort among the multiple organizations represented. The average relevance of different types of information sources was consistent across various organization types. Compared to mass media sources, information sources that were technical and individual- or group-oriented in nature were more relevant to respondents representing all organization types and levels of knowledge. Opportunities exist for translation of the findings presented to other networks of entities working toward common objectives

Quality Assured Measurements of Animal Building Emissions: Gas Concentrations

Comprehensive field studies were initiated in 2002 to measure emissions of ammonia (NH3), hydrogen sulfide (H2S), carbon dioxide (CO2), methane (CH4), nonmethane hydrocarbons (NMHC), particulate matter \u3c10 µm in diameter, and total suspended particulate from swine and poultry production buildings in the United States. This paper focuses on the quasicontinuous gas concentration measurement at multiple locations among paired barns in seven states. Documented principles, used in air pollution monitoring at industrial sources, were applied in developing quality assurance (QA) project plans for these studies. Air was sampled from multiple locations with each gas analyzed with one high quality commercial gas analyzer that was located in an environmentally controlled on-farm instrument shelter. A nominal 4 L/min gas sampling system was designed and constructed with Teflon wetted surfaces, bypass pumping, and sample line flow and pressure sensors. Three-way solenoids were used to automatically switch between multiple gas sampling lines with ≥10 min sampling intervals. Inside and outside gas sampling probes were between 10 and 115 m away from the analyzers. Analyzers used chemiluminescence, fluorescence,photoacoustic infrared, and photoionization detectors for NH3, H2S, CO2, CH4, and NMHC, respectively. Data were collected using personal computer-based data acquisition hardware and software. This paper discusses the methodology of gas concentration measurements and the unique challenges that livestock barns pose for achieving desired accuracy and precision, data representativeness, comparability and completeness, and instrument calibration and maintenance

Quality-Assured Measurements of Animal Building Emissions: Particulate Matter Concentrations

Federally funded, multistate field studies were initiated in 2002 to measure emissions of particulate matter (PM) \u3c10 μm (PM10) and total suspended particulate (TSP), ammonia, hydrogen sulfide, carbon dioxide, methane, non-methane hydrocarbons, and odor from swine and poultry production buildings in the United States. This paper describes the use of a continuous PM analyzer based on the tapered element oscillating microbalance (TEOM). In these studies, the TEOM was used to measure PM emissions at identical locations in paired barns. Measuring PM concentrations in swine and poultry barns, compared with measuring PM in ambient air, required more frequent maintenance of the TEOM. External screens were used to prevent rapid plugging of the insect screen in the PM10 preseparator inlet. Minute means of mass concentrations exhibited a sinusoidal pattern that followed the variation of relative humidity, indicating that mass concentration measurements were affected by water vapor condensation onto and evaporation of moisture from the TEOM filter. Filter loading increased the humidity effect, most likely because of increased water vapor adsorption capacity of added PM. In a single layer barn study, collocated TEOMs, equipped with TSP and PM10 inlets, corresponded well when placed near the inlets of exhaust fans in a layer barn. Initial data showed that average daily mean concentrations of TSP, PM10, and PM2.5concentrations at a layer barn were 1440 ± 182 μg/m3 (n = 2), 553 ± 79 μg/m3 (n = 4), and 33 ± 75 μg/m3 (n = 1), respectively. The daily mean TSP concentration (n =1) of a swine barn sprinkled with soybean oil was 67% lower than an untreated swine barn, which had a daily mean TSP concentration of 1143 ± 619 μg/m3. The daily mean ambient TSP concentration (n = 1) near the swine barns was 25 ± 8 μg/m3. Concentrations of PM inside the swine barns were correlated to pig activity

Antibiotic resistance gene profile changes in cropland soil after manure application and rainfall

Land application of manure introduces gastrointestinal microbes into the environment, including bacteria carrying antibiotic resistance genes (ARGs). Measuring soil ARGs is important for active stewardship efforts to minimize gene flow from agricultural production systems; however, the variety of sampling protocols and target genes makes it difficult to compare ARG results between studies. We used polymerase chain reaction (PCR) methods to characterize and/or quantify 27 ARG targets in soils from 20 replicate, long-term no-till plots, before and after swine manure application and simulated rainfall and runoff. All samples were negative for the 10 b-lactamase genes assayed. For tetracycline resistance, only source manure and post-application soil samples were positive. The mean number of macrolide, sulfonamide, and integrase genes increased in post-application soils when compared with source manure, but at plot level only, 1/20, 5/20, and 11/20 plots post-application showed an increase in erm(B), sulI, and intI1, respectively. Results confirmed the potential for temporary blooms of ARGs after manure application, likely linked to soil moisture levels. Results highlight uneven distribution of ARG targets, even within the same soil type and at the farm plot level. This heterogeneity presents a challenge for separating effects of manure application from background ARG noise under field conditions and needs to be considered when designing studies to evaluate the impact of best management practices to reduce ARG or for surveillance. We propose expressing normalized quantitative PCR (qPCR) ARG values as the number of ARG targets per 100,000 16S ribosomal RNA genes for ease of interpretation and to align with incidence rate data

Effectiveness of Composting as a Biosecure Disposal Method for Porcine Epidemic Diarrhea Virus (PEDV)-Infected Pig Carcasses

Porcine epidemic diarrhea virus (PEDV) is an enteric disease of swine that has emerged as a worldwide threat to swine herd health and production. Substantial research has been conducted to assess viability of the virus on surfaces of vehicles and equipment, in feed and water, and on production building surfaces, but little is known about the persistence in PEDV-infected carcasses and effective disposal methods thereof. This study was conducted to quantify the persistence of PEDV RNA via quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) at various time-temperature combinations and in infected piglet carcasses subjected to composting. Although this method does not distinguish between infectious and noninfectious virus, it is a rapid and sensitive test to evaluate materials for evidence of virus genome

Antibiotic resistance gene profile changes in cropland soil after manure application and rainfall

Land application of manure introduces gastrointestinal microbes into the environment, including bacteria carrying antibiotic resistance genes (ARGs). Measuring soil ARGs is important for active stewardship efforts to minimize gene flow from agricultural production systems; however, the variety of sampling protocols and target genes makes it difficult to compare ARG results between studies. We used polymerase chain reaction (PCR) methods to characterize and/or quantify 27 ARG targets in soils from 20 replicate, long-term no-till plots, before and after swine manure application and simulated rainfall and runoff. All samples were negative for the 10 b-lactamase genes assayed. For tetracycline resistance, only source manure and post-application soil samples were positive. The mean number of macrolide, sulfonamide, and integrase genes increased in post-application soils when compared with source manure, but at plot level only, 1/20, 5/20, and 11/20 plots post-application showed an increase in erm(B), sulI, and intI1, respectively. Results confirmed the potential for temporary blooms of ARGs after manure application, likely linked to soil moisture levels. Results highlight uneven distribution of ARG targets, even within the same soil type and at the farm plot level. This heterogeneity presents a challenge for separating effects of manure application from background ARG noise under field conditions and needs to be considered when designing studies to evaluate the impact of best management practices to reduce ARG or for surveillance. We propose expressing normalized quantitative PCR (qPCR) ARG values as the number of ARG targets per 100,000 16S ribosomal RNA genes for ease of interpretation and to align with incidence rate data