scholarly journals Short-Term Economic Impact of COVID-19 on Spanish Small Ruminant Flocks

Animals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1357 ◽  
Author(s):  
Irene Vidaurreta ◽  
Christian de la Fe ◽  
Juan Orengo ◽  
Ángel Gómez-Martín ◽  
Bernardino Benito
Keyword(s):  
Economic Impact ◽  
Small Ruminant ◽  
Small Ruminants ◽  
Economic Consequences ◽  
Control Measures ◽  
Dairy Goat ◽  
Short Term ◽  
Using Data ◽  
Meat Market

The human pandemic COVID-19 caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) started in China in 2019 and has rapidly spread around the world, leading to extreme control measures such as population confinement and industry activity closure. Although small ruminants are not sanitary affected by this virus, the short-term economic impact derived by COVID-19 on Spanish flocks is estimated in this study, using data provided by producers and two major slaughterhouses. Milk prices of dairy goat flocks suffered a substantial drop in April 2020, close to 4.5 cts EUR/liter compared to the previous month. In contrast, the monthly milk prices in sheep remained almost stable during this period, and even increases of more than EUR 6 cts were reported in comparison with the previous year. Nevertheless, economical differences are reported by areas where producers could receive a higher income, close to EUR 0.3 per liter of milk. Global data provided by feedlots affecting 2750 Spanish flocks evidenced a lamb price drop ranging from 16.8% to 26.9% after the pandemic arrival; in line with the data directly reported by a limited sample of producers (ranging from 11.0% to 23.7%). The goat kid meat market also suffered a reduction in prices per kg, near 12.5%; although, for some flocks, losses reached up to 40%. In the same line, 2 slaughterhouses reported a sudden sacrifice drop around 27% for lambs and goat kids sacrifices in April, in contrast with the usual sacrifice figures from the beginning of 2020. Moreover, our study showed a temporary and unexpected retention of lambs and goat kids at farms due to a reduction in animals slaughtered during this period. In conclusion, data evidenced a considerable negative economic impact on Spanish small ruminant flocks, throughout the first 60 days after COVID-19’s pandemic declaration. Further studies are needed to evaluate the long-term economic consequences, in order to establish contingency plans and avoid the collapse of small ruminant industries when a crisis of these characteristics occurs.

scholarly journals The role of the European small ruminant dairy sector in stabilising global temperatures: lessons from GWP* warming-equivalent emission metrics

2021 ◽  
pp. 1-8
Author(s):  
Agustin del Prado ◽  
Pablo Manzano ◽  
Guillermo Pardo
Keyword(s):  
Small Ruminant ◽  
Ghg Emissions ◽  
Small Ruminants ◽  
Feed Additives ◽  
Dairy Goat ◽  
Emission Rates ◽  
Animal Products ◽  
Ghg Reduction ◽  
Mitigate Climate Change ◽  
Climate Neutrality

Abstract Recent calls advocate that a huge reduction in the consumption of animal products (including dairy) is essential to mitigate climate change and stabilise global warming below the 1.5 and 2°C targets. The Paris Agreement states that to stabilise temperatures we must reach a balance between anthropogenic emissions by sources and removals by sinks of greenhouse gases (GHG) in the second half of this century. Consequently, many countries have adopted overall GHG reduction targets (e.g. EU, at least 40% by 2030 compared to 1990). However, using conventional metric-equivalent emissions (CO2-e GWP100) as the basis to account for emissions does not result in capturing the effect on atmospheric warming of changing emission rates from short-lived GHG (e.g. methane: CH4), which are the main source of GHG emissions by small ruminants. This shortcoming could be solved by using warming-equivalent emissions (CO2-we, GWP*), which can accurately link annual GHG emission rates to its warming effect in the atmosphere. In our study, using this GWP* methodology and different modelling approaches, we first examined the historical (1990–2018) contribution of European dairy small ruminant systems to additional atmosphere warming levels and then studied different emission target scenarios for 2100. These scenarios allow us to envision the necessary reduction of GHG emissions from Europe's dairy small ruminants to achieve a stable impact on global temperatures, i.e. to be climatically neutral. Our analysis showed that, using this type of approach, the whole European sheep and goat dairy sector seems not to have contributed to additional warming in the period 1990–2018. Considering each subsector separately, increases in dairy goat production has led to some level of additional warming into the atmosphere, but these have been compensated by larger emission reductions in the dairy sheep sector. The estimations of warming for future scenarios suggest that to achieve climate neutrality, understood as not adding additional warming to the atmosphere, modest GHG reductions of sheep and goat GHG would be required (e.g. via feed additives). This reduction would be even lower if potential soil organic carbon (SOC) from associated pastures is considered.

scholarly journals Long-Term Development of Urban Agriculture: Resilience and Sustainability of Farmers Facing the Covid-19 Pandemic in Japan

2021 ◽  
Vol 13 (8) ◽  
pp. 4316
Author(s):  
Shingo Yoshida ◽  
Hironori Yagi
Keyword(s):  
Urban Agriculture ◽  
Food Systems ◽  
Direct Marketing ◽  
Farming System ◽  
Long Term Effects ◽  
Short Term ◽  
Short Supply ◽  
Using Data ◽  
Urban People

The coronavirus disease 2019 (Covid-19) pandemic has forced global food systems to face unprecedented uncertain shocks even in terms of human health. Urban agriculture is expected to be more resilient because of its short supply chain for urban people and diversified farming activities. However, the short-and long-term effects of the Covid-19 pandemic on urban farms remain unclear. This study aims to reveal the conditions for farm resilience to the Covid-19 pandemic in 2020 and the relationship between short-term farm resilience and long-term farm development using data from a survey of 74 farms located in Tokyo. The results are as follows. First, more than half of the sample farms increased their farm sales during this period. This resilience can be called the “persistence” approach. Second, short-term farm resilience and other sustainable farm activities contributed to improving farmers’ intentions for long-term farm development and farmland preservation. Third, the most important resilience attributes were the direct marketing, entrepreneurship, and social networks of farmers. We discussed the necessity of building farmers’ transformative capabilities for a more resilient urban farming system. These results imply that support to enhance the short-term resilience of urban farms is worth more than the short-term profit of the farms.

scholarly journals Mycoplasma agalactiae in Dairy Goat Flocks Bred in State of Ceará in Association with Caprine Arthritis Encephalitis Virus

2018 ◽  
Vol 46 (1) ◽  
pp. 7
Author(s):  
Renato Mesquita Peixoto ◽  
Alice Andrioli ◽  
Raymundo Rizaldo Pinheiro ◽  
Francisco Selmo Fernandes Alves ◽  
Vanderlan Warlington Souza Dos Santos ◽  
...  
Keyword(s):  
Milk Production ◽  
Clinical Signs ◽  
Small Ruminants ◽  
The State ◽  
Encephalitis Virus ◽  
Control Measures ◽  
Dairy Goat ◽  
Economic Losses ◽  
Caprine Arthritis Encephalitis Virus ◽  
Mycoplasma Agalactiae

Background: Contagious agalactia is an infectious disease caused by Mycoplasma agalactiae (M. agalactiae) that occurs in small ruminants leading to productive and economic losses. Due to the similarity of clinical signs presented in Caprine Arthritis Encephalitis (CAE), which is a viral disease, a differential diagnosis is important. Therefore, this study aimed to investigate the presence of anti-Mycoplasma agalactiae antibodies in dairy goat flocks in Ceará State and possible correlation with CAE.Materials, Methods & Results: The research was performed in four mesoregions in Ceará State (Metropolitan Region of Fortaleza-MRF; Northeast Ceará - NeC; North Ceará - NC; Sertões in Ceará - SC), from which 16 productions located in 10 cities with the highest representativeness for goat milk production within the State or mesoregion were sampled. A total of 417 females and 69 males (486 animals) of breeds with dairy production aptitude, pure or crossbreed, maintained in semi-intensive or intensive systems, were tested. Blood serum was obtained by venipuncture of the jugular vein with vacuum pressure syringe followed by centrifugation at 1,500 g for 10min. Antibodies against the caprine arthritis encephalitis virus (CAEV) were detected with micro technique of agarose gel immunodiffusion (AGID) and Western Blot (WB). The anti-Mycoplasma agalactiae antibodies were detected with commercial kit of enzymatic immunoassay (IDEXX Laboratories™). Seroprevalence of M. agalactiae in dairy goat flocks in Ceará State was 0.62% (3/486). From the total of 16 visited productions, 18.75% (3/16) had seropositive animals for M. agalactiae located in MRF, NC and SC mesoregions. CAE was diagnosed in 56.25% (9/16) of productions with AGID and in 81.25% (13/16) with WB. In addition, 5.2% (25/486) of animals were seropositive for CAE with AGID and 16.6% (80/486) with WB. Animals that reacted positive for M. agalactiae were all females of pure breed with milk production aptitude in distinct mesoregions submitted to intensive rearing system. None of these animals was positive in neither test (AGID or WB) for CAE. Therefore, no correlation of results obtained in diagnosis of M. agalactiae by ELISA and CAEV by AGID or WB (P < 0.05) was identified. However, two out of three productions that were positive for M. agalactiae presented positive results for CAEV with frequencies of 10% and 20%.Discussion: Seroprevalence of M. agalactiae in Ceará State was low in comparison with other Brazilian states and even other countries. However, the presence of the pathogen in more than one mesoregion indicates that the disease occurs in different locations within the State. Therefore, flocks in Ceará are susceptible to the infection, which may be favored by uncontrolled commerce that occurs with deficient surveillance, associated with the importation of animals to improve flock genetic quality. The presence of the pathogen in dairy goats may contribute to significant losses in the local production. On the other hand, CAE was diagnosedin nearly all productions proving the dissemination of this lentivirus infection among dairy goat flocks in Ceará State. Although an association between these diseases was not identified, the presence of a retrovirus in the organism may favor co-infection with another micro-organism, promoting the deficiency in the immune system of the host. In conclusion, M. agalactiae is present in different mesoregions of the Ceará State and control measures should be adopted in short term to prevent pathogen dissemination and, consequently reduce economic and productive losses in the local dairy goat production. No correlation was identified between the prevalence of infection by CAEV and M. agalactiae in this study.Keywords: correlation, diagnosis, caprine lentivirus, mycoplasmosis.

scholarly journals Long-Term Economic Simulation: Even-Aged and Uneven-Aged Examples from the Missouri Ozark Forest Ecosystem Project (MOFEP)

2005 ◽  
Vol 22 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Thomas Treiman ◽  
John Dwyer ◽  
David Larsen
Keyword(s):  
Forest Ecosystem ◽  
Landscape Management ◽  
Forest Products ◽  
Forest Growth ◽  
Economic Outcomes ◽  
Long Term Effects ◽  
Short Term ◽  
Decision Matrix ◽  
Using Data

Abstract Much of the software and many of the algorithms commonly used to simulate forest growth and harvesting activities have been optimized for short-term projections based primarily on larger-sized trees and are focused on even-aged silvicultural systems. Using data on trees 1.5 in. dbh and larger from the Missouri Ozark Forest Ecosystem Project (MOFEP), we have adapted the widely available Landscape Management System (LMS) and Forest Vegetation Simulator (FVS) software to make long-term simulations using even and uneven-aged silvicultural management systems. MOFEP is designed to test the long-term effects of even-aged, uneven-aged, and no harvest treatments on a variety of ecosystem attributes. To simulate the economic outcomes of these three treatments, we have written new LMS algorithms that simulate the effects of uneven-aged harvesting. Our results show that in the Missouri Ozarks even-aged and uneven-aged management silvicultural systems yield long-term (100 years) economic outcomes that are not statistically different. This result reinforces the need for land managers or landowners to consider esthetics, nontraditional forest products, and other nonmarket values in their decision matrix. North. J. Appl. For. 22(1):42– 47.

scholarly journals Taenia multiceps coenurosis in Tanzania: a major and under-recognised livestock disease problem in pastoral communities

2019 ◽  
Vol 184 (6) ◽  
pp. 191-191 ◽  
Author(s):  
Ellen C Hughes ◽  
Tito K Kibona ◽  
William A de Glanville ◽  
Felix Lankester ◽  
Alicia Davis ◽  
...  
Keyword(s):  
Small Ruminant ◽  
Clinical Signs ◽  
Small Ruminants ◽  
Control Measures ◽  
Taenia Multiceps ◽  
Individual Level ◽  
Pastoral Communities ◽  
Associated Risk Factors ◽  
The Individual ◽  
Spinal Cord Cysts

AbstractA neurological syndrome of small ruminants, known locally as ‘ormilo’, has been reported among pastoralist livestock keepers in Tanzania. This study was carried out in four affected pastoral communities to determine the prevalence and associated risk factors, characterise the clinical signs and investigate the aetiology of the syndrome. Questionnaires were administered at all households (n=480) within four study villages. Overall, 94 per cent of households reported at least one case in the previous 12 months. By village, the individual-level 12-month period prevalence ranged from 11 per cent to 34 per cent, equivalent to about 10,000 small ruminants across the four villages. Thirty-eight households were randomly selected for further investigation. Proprioceptive deficits and weakness were the most commonly observed clinical signs in affected animals. Brain and spinal cord cysts consistent with Taenia multiceps infection were detected in 32 (82 per cent) of 39 affected animals selected for postmortem examination. Feeding small ruminant brains to dogs was identified as an important risk factor for the syndrome, even in households that did not own dogs. This study confirms cerebral coenurosis as a major cause of small ruminant neurological disease in northern Tanzania and highlights the urgent need for further investigation to quantify the disease burden and to identify and implement control measures.

Empirical Procedures for Long-Term Prediction of Fatigue Damage for an Instrumented Marine Riser

2014 ◽  
Vol 136 (3) ◽  
Author(s):  
C. Shi ◽  
L. Manuel ◽  
M. A. Tognarelli
Keyword(s):  
Fatigue Damage ◽  
Field Measurements ◽  
Damage Estimation ◽  
Current Profile ◽  
Short Term ◽  
Response Characteristics ◽  
Damage Rate ◽  
Using Data ◽  
Analytical Approaches

Slender marine risers used in deepwater applications can experience vortex-induced vibration (VIV). It is becoming increasingly common for field monitoring campaigns to be undertaken wherein data loggers such as strain sensors and/or accelerometers are installed on such risers to aid in VIV-related fatigue damage estimation. Such damage estimation relies on the application of empirical procedures that make use of the collected data. This type of damage estimation can be undertaken for different current profiles encountered. The empirical techniques employed make direct use of the measurements and key components in the analyszes (such as participating riser modes selected for use in damage estimation) are intrinsically dependent on the actual current profiles. Fatigue damage predicted in this manner is in contrast to analytical approaches that rely on simplifying assumptions on both the flow conditions and the response characteristics. Empirical fatigue damage estimates conditional on current profile type can account explicitly even for complex response characteristics, participating riser modes, etc. With significant amounts of data, it is possible to establish “short-term” fatigue damage rate distributions conditional on current type. If the relative frequency of different current types is known from metocean studies, the short-term fatigue distributions can be combined with the current distributions to yield integrated “long-term” fatigue damage rate distributions. Such a study is carried out using data from the Norwegian Deepwater Programme (NDP) model riser subject to several sheared and uniform current profiles and with assumed probabilities for different current conditions. From this study, we seek to demonstrate the effectiveness of empirical techniques utilized in combination with field measurements to predict the long-term fatigue damage and the fatigue failure probability.

scholarly journals Long-term health-related and economic consequences of short-term outcomes in evaluation of perinatal interventions

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Margreet J Teune ◽  
Aleid G van Wassenaer ◽  
Ben Willem J Mol ◽  
Brent C Opmeer
Keyword(s):  
Economic Consequences ◽  
Short Term ◽  
Health Related

scholarly journals Coach Mid-Season Replacement and Team Performance in Professional Soccer

2011 ◽  
Vol 28 (1) ◽  
pp. 115-122 ◽  
Author(s):  
Carlos Lago-Peñas
Keyword(s):  
Team Performance ◽  
Positive Impact ◽  
Short Term ◽  
Shock Effect ◽  
Professional Soccer ◽  
Before And After ◽  
Using Data ◽  
The Relationship ◽  
The Empirical Analysis

Coach Mid-Season Replacement and Team Performance in Professional SoccerThe coaching carousel or turnover is an extreme but frequently occurring phenomenon in soccer. Among the reasons for firing a coach, the most common is the existence of a shock-effect: a new coach would be able to motivate the players better and therefore to improve results. Using data from the Spanish Soccer League during the seasons from 1997-1998 to 2006-2007, this paper investigates the relationship between team performance and coach change over time. The empirical analysis shows that the shock effect of a turnover has a positive impact on team performance in the short term. Results reveal no impact of coach turnover in the long term. The favourable short-term impact on team performance of a coach turnover is followed by continued gradual worsening of results. The turnover effect is non-existent when the comparison between the new coach and the old coach is done over 10, 15 or 20 matches before and after termination.

Empirical Procedures for Long-Term Prediction of Fatigue Damage for an Instrumented Marine Riser

2011 ◽  
Author(s):  
C. Shi ◽  
L. Manuel ◽  
M. A. Tognarelli
Keyword(s):  
Fatigue Damage ◽  
Field Measurements ◽  
Damage Estimation ◽  
Current Profile ◽  
Short Term ◽  
Response Characteristics ◽  
Damage Rate ◽  
Using Data ◽  
Analytical Approaches

Slender marine risers used in deepwater applications can experience vortex-induced vibration (VIV). It is becoming increasingly common for field monitoring campaigns to be undertaken wherein data loggers such as strain sensors and/or accelerometers are installed on such risers to aid in VIV-related fatigue damage estimation. Such damage estimation relies on the application of empirical procedures that make use of the collected data. This type of damage estimation can be undertaken for different current profiles encountered. The empirical techniques employed make direct use of the measurements and key components in the analyses (such as participating riser modes selected for use in damage estimation) are intrinsically dependent on the actual current profiles. Fatigue damage predicted in this manner is in contrast to analytical approaches that rely on simplifying assumptions on both the flow conditions and the response characteristics. Empirical fatigue damage estimates conditional on current profile type can account explicitly even for complex response characteristics, participating riser modes, etc. With significant amounts of data, it is possible to establish “short-term” fatigue damage rate distributions conditional on current type. If the relative frequency of different current types is known from metocean studies, the short-term fatigue distributions can be combined with the current distributions to yield integrated “long-term” fatigue damage rate distributions. Such a study is carried out using data from the Norwegian Deepwater Programme (NDP) model riser subject to several sheared and uniform current profiles and with assumed probabilities for different current conditions. From this study, we seek to demonstrate the effectiveness of empirical techniques utilized in combination with field measurements to predict long-term fatigue damage and life.

Estimation of short-term centers of activity from an array of omnidirectional hydrophones and its use in studying animal movements

2002 ◽  
Vol 59 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Colin A Simpfendorfer ◽  
Michelle R Heupel ◽  
Robert E Hueter
Keyword(s):  
Data Logging ◽  
Short Term ◽  
Animal Movements ◽  
Carcharhinus Limbatus ◽  
Multiple Receivers ◽  
Time Period ◽  
Weighted Means ◽  
Utilization Patterns ◽  
Using Data

A method for studying animal movements based on data from independent data-logging acoustic receivers is described. The method takes presence or absence data from multiple receivers arranged in an array and converts them to position estimates based on weighted means of the number of signal receptions at each receiver during a specified time period. The method is equivalent to a short-term center of activity rather than a precise estimate of location at a single time. The utility of the method was assessed using data from a study of neonate blacktip sharks (Carcharhinus limbatus). Periods between 5 and 60 min were tested to find the most appropriate interval for estimating positions. The results from the method agreed closely with a simulated shark track and data from actively tracked sharks. The median distances between successive locations from the mean-position algorithm were between 28% and 42% of those from active tracking because of the center-of-activity nature of the method. The results presented demonstrate that the technique provides a useful method for investigating long-term movement patterns, space utilization patterns over broader areas, and home range.

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