Applying Alternative Technologies to CAFOs: A Case Study

The US EPA National Pollution Discharge Elimination System permit program has regulated open lot livestock production systems since the 1970’s, historically requiring collection, storage, and land application of runoff. Under the new Concentrated Animal Feeding Operation (CAFO) regulations, the effluent limitation guidelines (ELG) offer the option of Voluntary Alternative Performance Standards for beef and dairy. This potentially allows runoff management options such as vegetative treatment systems (VTS) that may perform equal to or better than our baseline system while maintaining a challenging standard for application of alternative technologies. To facilitate application of VTS, the Iowa Cattlemen’s Association (ICA) and Iowa State University (ISU), have initiated several pro-active efforts including field-based demonstration and evaluation of these technologies and development of performance models for estimating performance. They also enlisted USDA Natural Resource Conservation Service (NRCS) to assist with the assembly of the current science and access to cost share resources. This paper will 1) summarize the process used for facilitating an alternative technologies application on CAFOs, 2) review the critical issues in applying new technologies from the perspective of EPA, industry, research community, and private sector; and 3) summarize lessons learned in this process. Significant obstacles exist for alternative technology applications on CAFOs. Stakeholders in livestock environmental issues will need to play pro-active roles if alternative technologies will be permitted under the CAFO regulations

Heat and Moisture Production of Growing-Finishing Gilts as Affected by Environmental Temperature

Heat and moisture production (HMP) values are used to size ventilation fans in animal housing. The HMP values that are currently published in the ASABE standards were from data collected in the early 1950s. This study is one of a series of studies being conducted to update the HMP values for the ASABE and ASHRAE (American Society of Heating, Refrigeration, and Air Conditioning Engineers) Standards. This study focused on the HMP measurements on growing gilts in the weight range of 60 to 120 kg over a temperature range of 16 to 32°C. Thirty gilts selected on the basis of weight and health status were placed in one of five environmental chambers and in one of six pens in each chamber. Heat production rate (HP) was determined using indirect calorimetry methods after the animals were acclimated for 2 weeks to a particular temperature. Each measurement was made on an individual animal over a 21-hr period. It was determined that HP decreased, feed intake decreased, and moisture production (MP) increased as environmental temperature increased. HP was directly affected by the level of feed consumption. Dynamic measurements showed a diurnal HP pattern in that it was higher during light period than during dark period, with an immediate increase as the lights were turned on. Results on nursery age animals will be reported in a companion study

Soil-Crop Dynamic Depth Response Determined from TDR of a Corn Silage Field Compared to EMI Measurements

Electromagnetic induction (EMI) techniques have been used to monitor bulk seasonal soil-crop apparent electrical conductivity (ECa) dynamics. Interpreting this information can be complicated by changes in the soil profile such as water content or nutrient leaching. Time domain reflectometry (TDR) measures localized soil EC; therefore, TDR can provide clarification to where in the soil profile the EC changes are taking place. The objective of this study was to determine whether surface or deep EC changes were driving the response measured by EMI during the crop season of a field amended with animal manure. Results indicate that seasonal soil-crop EC dynamics measured by EMI are primarily driven by surface (,0.2 m) changes as opposed to deeper (.0.9 m) changes. These changes appear to be the result of surface ionic dynamics caused by crop-soil interactions and not soil volumetric water content (hv), since no significant correlations were detected between hv and ECa for any treatment, depth or dipole orientation. These findings are consistent with others who reported the EMI signal was driven primarily by changes in nitrate concentration and not by soil water content. The results of this study clarify our understanding of the soil dynamics that drive the ECa response of a manure amended field. The ability to non-intrusively measure nutrient mineralization and crop uptake provides researchers with a powerful tool for understanding soil-crop interactions. Understanding the soil-crop dynamic will facilitate development of management practices for amending soil with manure while protecting the environment from unintended contamination

Soil-Crop Dynamic Depth Response Determined from TDR of a Corn Silage Field Compared to EMI Measurements

Electromagnetic induction (EMI) techniques have been used to monitor bulk seasonal soil-crop apparent electrical conductivity (ECa) dynamics. Interpreting this information can be complicated by changes in the soil profile such as water content or nutrient leaching. Time domain reflectometry (TDR) measures localized soil EC; therefore, TDR can provide clarification to where in the soil profile the EC changes are taking place. The objective of this study was to determine whether surface or deep EC changes were driving the response measured by EMI during the crop season of a field amended with animal manure. Results indicate that seasonal soil-crop EC dynamics measured by EMI are primarily driven by surface (,0.2 m) changes as opposed to deeper (.0.9 m) changes. These changes appear to be the result of surface ionic dynamics caused by crop-soil interactions and not soil volumetric water content (hv), since no significant correlations were detected between hv and ECa for any treatment, depth or dipole orientation. These findings are consistent with others who reported the EMI signal was driven primarily by changes in nitrate concentration and not by soil water content. The results of this study clarify our understanding of the soil dynamics that drive the ECa response of a manure amended field. The ability to non-intrusively measure nutrient mineralization and crop uptake provides researchers with a powerful tool for understanding soil-crop interactions. Understanding the soil-crop dynamic will facilitate development of management practices for amending soil with manure while protecting the environment from unintended contamination

A Literature Review of Swine Heat Production

Current ASAE standards of heat and moisture production (HP, MP) for swine are primarily based on data collected nearly four decades ago. Feedstuffs, management practices, growth rate, and lean percentage of swine have changed HP and MP considerably in that time period. Literature data shows that lean percent increased 1.55% in the last 10 years, resulting in an increase in HP by approximately 15%. Data were compiled into two categories: prior to 1988, and 1988 to present. Analysis of this data revealed that HP increased 12.4% to 35.3% between the two categories, with the largest differences occurring at higher temperatures. The results also revealed lack of HP and MP data for greater than 90 kg pigs. The HP and MP standards for design of swine housing systems should be updated

Measuring Energetics of Biological Processes

Measurement of the energetics of biological processes is the key component in understanding the thermodynamic responses of homoeothermic animals to their environments. For these animals to achieve body temperature control, they must adapt to thermal-environmental conditions and variations caused by weather (the meteorological condition of a region), climate, vegetation, topography, and shelters (see Figures 2 and 3 of Chapter 1). Adaptation can take different forms as defined by Hafez (1968). Physiological adaptation is the capacity and process of adjustment of the animal to itself, to other living material, and to its external physical environment. Genetic adaptation refers to the selection and heritability of characteristics for a particular environment or climatic region. A long-term adaptive physiological adjustment is referred to as acclimatization. We know this occurs through observations of animal conformation, animal types, respiratory rate, color, behavior, food selection, etc. Since adaptation of the animal to its thermal environment requires regulation of body temperature, measurement of that adaptation through animal energetics provides an indicator of the extent and energetic cost of adaptation

Heat and Moisture Production of Modern Swine

The total heat and moisture production (THP and MP) values of pigs that are currently published in ASHRAE standards are from data collected in either the 1970s (nursery piglets) or the 1950s (growing-finishing pigs). These series of studies, conducted to systematically update the THP and MPstandards, includes a series of four indirect calorimeter studies (nursery, growing-finishing gilts, and finishing barrows), and six facility-level studies (nursery, growing, early finishing, late finishing, gestating gilts, and farrowing sows and litters). The studies were completed at various temperatures from thermal neutral to hot conditions, demonstrating the trends that HP and feed intake decreased while MP increased as environmental temperature increased. Overall, THP was observed to be 16% higher than current standards. To predict MP from the entire facility rather than just the animals, the waste-handling systems, sprinkler cooling systems, and nonvented gas-fired heaters were monitored and found to contribute significantly to the overallMP. Continuous measurements showed a diurnal THP pattern that was higher during light periods than during dark periods, with peaks just after lights came on and just before lights went off. These updated THP and MP values are essential in designing new and managing current swine facilities

Intramural haematoma of the thoracic aorta: who's to be alerted the cardiologist or the cardiac surgeon?

This review article is written so as to present the pathophysiology, the symptomatology and the ways of diagnosis and treatment of a rather rare aortic disease called Intra-Mural Haematoma (IMH). Intramural haematoma is a quite uncommon but potentially lethal aortic disease that can strike as a primary occurrence in hypertensive and atherosclerotic patients to whom there is spontaneous bleeding from vasa vasorum into the aortic wall (media) or less frequently, as the evolution of a penetrating atherosclerotic ulcer (PAU). IMH displays a typical of dissection progress, and could be considered as a precursor of classic aortic dissection. IMH enfeebles the aortic wall and may progress to either outward rupture of the aorta or inward disruption of the intima layer, which ultimately results in aortic dissection. Chest and back acute penetrating pain is the most commonly noticed symptom at patients with IMH. Apart from a transesophageal echocardiography (TEE), a tomographic imaging such as a chest computed tomography (CT), a magnetic resonance (MRI) and most lately a multy detector computed tomography (MDCT) can ensure a quick and accurate diagnosis of IMH. Similar to type A and B aortic dissection, surgery is indicated at patients with type-A IMH, as well as at patients with a persistent and/or recurrent pain. For any other patient (with type-B IMH without an incessant pain and/or without complications), medical treatment is suggested, as applied in the case of aortic dissection. The outcome of IMH in ascending aorta (type A) appears favourable after immediate (emergent or urgent) surgical intervention, but according to international bibliography patients with IMH of the descending aorta (type B) show similar mortality rates to those being subjected to conservative medical or surgical treatment. Endovascular surgery and stent-graft placement is currently indicated in type B IMH

International mobility and migration of rural population

This presentation summarizes the results of the WP on international migration into rural areas in the FP7 project DERREG

Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber

We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions in an image, and the detection of a simulated neutrino event overlaid with cosmic ray backgrounds taken from real detector data. These studies demonstrate the potential of convolutional neural networks for particle identification or event detection on simulated neutrino interactions. We also address technical issues that arise when applying this technique to data from a large LArTPC at or near ground level