Environmental-friendly tools to detoxify maize from aflatoxin B1. Alessandra Angelucci, Cristiano Bello, Massimo Reverberi, Corrado Fanelli, Annaadele Fabbri, Marzia Scarpari, Chiara Dall’Asta, Alberto
Biancardi and Luigi Bertocchi [email protected]
P2.1
Life cycle inventory analysis for the milk produced by a Greek commercial dairy farm
Thomas Bartzanas, Vasileios Anestis, Constantinos Kittas Center for Research and Technology-HELLAS (CERTH)
Institute for Research and Technology-Thessaly (IRETETH) Department of Agrotechnology, Volos, Greece
Abstract
A “cradle-to-farm-gate” Life Cycle Inventory (LCI) for the milk production from a commercial dairy cattle producing farm in Greece, based on farm-specific data was presented. On-farm and off-farm use of resources (water, land and energy) and emissions to air, water and soil were taken into account and special attention was paid to their estimation methods. The compilation of this LCI is the first attempt to gain knowledge on the status-quo environmental performance of a cow-milk production chain and it will be used to further identify the environmental weaknesses of such a system for the conditions in Greece in future studies.
P2.2
• The software SimaPro v. 8.0.4.26 PhD was utilised for performing the LCI analysis.
• The results show that the processes taking place in the dairy farm are the ones that are mainly responsible for the total emissions of important greenhouse gases: CH4 (95.39%), N2O (31.9%) and NH3 (59.63%)
• The order of magnitude of the total emissions seems to be rational according to existing literature values.
• The country’s feed crop production processes in total as well as the electricity production process were also proven to be important contributors to the total use of resources and emissions.
• Please visit the poster!
Overview of Results and Conclusions
Methicillin-resistant Staphylococcus aureus (MRSA) prevalence and antimicrobial resistance profile in North-East Italy
Alessio Bortolami1,2, Matteo Gianesella1, Massimo Morgante1, Michela Corro’2 1Università degli Studi di Padova- Dipartimento di Medicina animale, Produzioni e Salute – Viale dell’Università 16, 35020 Legnaro (PD) (Italy). 2Istituto Zooprofilattico Sperimentale
delle Venezie – Viale dell’Università 10, 35020 Legnaro (PD) (Italy). [email protected]
Abstract 224 farms in the north-east part of Italy has been screened for MRSA presence. The prevalence found was low (3,6%) but with significative differences between Regions (p<0,05). The prevalence in the area of interest and antimicrobial resistance carachteristics of the isolates has been assessed but further investigations are needed to understand the epidemiology and the impact of MRSA on the dairy sector.
P2.3
• 8 farms of 224 resulted positive for MRSA in milk
• Significative difference between the Regions has been found
• Veneto Region has the highest prevalence for MRSA (8.33%)
• Differences may be related to differences in farm size and antimicrobial drugs use
• In addiction to constitutive resistance to all β-lactams and Cephalosporins the isolated strains showed high resistance rates also for Tetracyclines (90%), Macrolides (70%), Aminoglicosides (50%), potentiated Sulfonamides (45%) and Rifamycines (45%)
• MRSA is an emerging pathogen in the dairy sector and there is the need to better investigate epidemiology and control of these multiresistant strains
Overview of Results and Conclusions
Monitoring of drug consumption in dairy cattle farms
Marta Brscic1, Flaviana Gottardo1, Paola Prevedello1, Arnaldo Azzolin2, Antonio Barberio3
1 Dept. Animal Medicine, Production and Health - University of Padova, Italy. 2 Private Veterinary Practitioner,
Breganze (VI), Italy. 3 Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy.
[email protected] Abstract
Drug consumption was monitored using GeFaVet® software in 7 dairy farms in Veneto and associated to milk yield and quality. Results showed variation among use of pharmacological treatments and pointed out farms where antibacterials were likely used preventively and others where drugs were probably used more effectively.
P2.4
Monitoring rumen pH and temperature changes by wireless sensors and logistic regression in dairy goats
Andreia Castro-Costa, Ahmed AK Salama, Xavier Moll, Jordi Aguiló and Gerardo Caja
P2.5
Collaborations: Previous DairyCare
www.uab.es
■ Young university (1968) 42.000 students (2,078 MSc and 3,657 PhD)
■ 5.000 staff members (3,514 research and teaching)
■ QShanghai World Univ. Ranking 2013-14:
●177th World ● 79th Europe ● 1st Spain
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Monitoring pH and temperature rumen changes by wireless sensors and logistic regression in dairy goats A. Castro-Costa1, A.A.K. Salama1, X. Moll2, J. Aguiló3 & G. Caja1
1G2R, 2GRESA and 3GAB of Universitat Autònoma de Barcelona, Bellaterra, Spain
2nd DC Conference, Poster #2.5
G2RGrup Recerca Remugants
G2RGrup Recerca Remugants
70 g
Rumen bolus (n = 8) Exp. 1 (8 goats) Diet effects (F:C ratio): 70:30 vs. 30:70
Exp. 2 (9 goats) Ambient: Termo neutral vs. Heat stress Needing < 70 × 20 mm !
Assessment of animal welfare using metabolomic condition in dairy cows
1Irena Celeska, 2Danijela Kirovski, 1Igor Ulchar, 1Miroslav Radeski, 1Vlatko Ilieski 1Faculty of Veterinary Medicine Skopje, University St Cyril and Methodius, Macedonia, 2Faculty of Veterinary Medicine, University of Belgrade Serbia
Abstract Dairy cows have high genetic merit for producing milk. During the transition period, tremendous changes in metabolic pathways can cause metabolic distress. Metabolic requirements for galactogenesis are the main reason for overloading physiological capacity of homeostatic metabolism. Dairy cows have genetic selection for producing high quantities of milk and onset of lactation is period of homeoeretic mechanisms.
P2.6
• examination included 317 cows from different dairy farms
• started so early with prolongated duration, but with not expressed intensity
• hypoglycemia and early lipomobilisation
• Welfare problems of animals in different breeding condition are related to adaptation
• Dairy cows posses adaptation ability in different stages of lactation
• Continuous assessment of the metabolomic condition could be seen as a potential indicator of the welfare animal’s state
• Please visit the poster!
Overview of Results and Conclusions
Survey of hair cortisol concentrations in Danish cattle Regitze Charmac1, Alberto Prandi2, Antonella Comin2, Marta Montillo2,
Rupert Bruckmaier3, Josef Gross3 and Christopher Knight1 1University of Copenhagen, Denmark, 2University of Udine, Italy and
3University of Bern, Switzerland [email protected]
Abstract
Cortisol was measured in hair samples obtained from a cross section of Danish beef cattle. Significant variation existed, influenced by various factors including breed, gender, age and physiological state. Factors requiring more detailed investigation have been identified.
P2.7
• Overall mean cortisol was 2.69±0.07 pg/mg
• Variation between herds was 1.36±0.36 to 4.68±0.27 pg/mg
• Scottish Highland had lowest cortisol amongst breeds
• Gender effect: Females < Males
• Age effect: Older < Younger
• Physiological state: Pregnant < Lactating
• Hair cortisol may be of value in assessing chronic stress
• Please visit the poster!
Overview of Results and Conclusions
Detection of genetic markers associated with improved efficiency of feed utilization in Holstein calves
Miri Cohen-Zinder and Ariel Shabtay [email protected]
P2.8
The importance of pasture in tied dairy cows Matteo Donati, Alessandra Angelucci, Francesca Fusi, Valentina Lorenzi
and Luigi Bertocchi [email protected]
P2.9
Can we feed the calf more milk? Kristian Ellingsen, Cecilie M. Mejdell, Nina Ottesen, Stig Larsen and Ann
Margaret Grøndahl [email protected]
P2.10
Effect of concentrate supplementation on reticular pH profile and ruminal fermentation traits of cows fed herbage during the transition and early lactation periods
M. Falk 1,2, A. Münger1, R. S. Zbinden2, J. J. Gross2, R. M. Bruckmaier2, F. Dohme-Meier1 1Agroscope, Institute for Livestock Sciences ILS, Posieux, Switzerland
2Veterinary Physiology, University of Bern, Bern, Switzerland
• 24 multiparous Holstein cows
• 2 feeding treatments: Herbage only C- vs. herbage + concentrate C+ • 2 lactation performance groups: High H vs. low potential milk yield L • 4 subgroups: Herbage x high potential C-H Herbage x low potential C-L Herbage + concentrate x high potential C+H Herbage + concentrate x low potential C+L • 5 time points of measurement: wk 2 before calving, wk 2, 4, 6, 8 of lactation • Collected data: Daily milk yield, daily feed intake, every 2 wk sample of ruminal
fluid, reticular pH
Material and Methods
P2.11
• Milk yield: C+ cows > C- cows
H cows > L cows
• DMI herbage: C- cows > C+ cows
• DMI total: C+ cows > C- cows
• VFA total: C+ cows > C- cows
• Reticular pH: no difference between groups
decrease across wk of lactation
• Concentrate supplementation affected milk yield and rumen fermentation pattern but not the pH in the reticulum
• Please visit the poster!
Overview of Results and Conclusions
An experience of technological transfer: the bioelectronic platform developed in an Italian dairy chain
Chiara Frazzoli, Alberto Mantovani and Roberto Dragone [email protected]
P2.12
Effect of heat stress on ketosis prevalence risk and milk production in early and mid-lactation of Holstein heifers in Croatia
Vesna Gantner, Krešimir Kuterovac, Marcela Šperanda and Klemen Potočnik
P2.13
Effect of heat stress on ketosis prevalence risk and milk production in early and mid-lactation of Holstein
heifers in Croatia Vesna Gantner1, Krešimir Kuterovac2, Marcela Šperanda1, Klemen Potočnik3
1Faculty of Agriculture in Osijek, University of Josip Juraj Strossmayer in Osijek, Osijek, Croatia
2Inagra Ltd., Osijek, Croatia 3Department of Animal Science, Biotechnical faculty, University of
Ljubljana, Domžale, Slovenia
e-mail: [email protected] Aiming
- the determination of heat stress conditions in Croatian barns
- evaluation of heat stress effect on ketosis prevalence risk and cow’s yielding in terms of heat stress and ketosis risk prevalence
180,355 test-day records of milk, fat, and protein from 50,574 cows reared on 4,638 farms in period from January 2003 till December 2013, provided by the Croatian Agricultural Agency, were used.
Figure 1: Average THI value during the
summer period
Heat stress conditions were
determined during the summer period
with average THI ≥ 72 observed from
mid-June till the end of August.
Figure 2: Effect of heat stress on ketosis prevalence risk and milk production according to lactation stage classes
The highest ketosis prevalence risk was observed in early lactation (first 60 days) with similar prevalence both in heat stressed and cows in normal conditions.
Prevalence risk lower than 10% characterise the period from 120th lactation day. Higher prevalence risk in stressed animals was determined from 80th till 120th lactation day after what prevalence risk was similar regardless the environmental conditions in the barns.
Regarding the milk production of cows that were in ketosis risk the significant differences between the heat stressed and those in normal conditions in summer period were not found.
CONCLUSION
The research results points out that test-day records collected in regular milk recording could be useful tool for monitoring of cows risk of ketosis prevalence. By early detection and treatment of the subclinical ketosis farmer’s economic losses could be decreased or completely avoided. Since
environmental conditions significantly affects daily milk yield, fat and protein content, and consequently F/P ratio further research with purpose of detailed formulation of metabolic disease
risk and environmental conditions relation is needed.
EVALUATION OF SALIVARY PROTEINS AS POTENTIAL BIOMARKERS OF MILK PRODUCTION IN HOT CLIMATES
A. Geraldoa,1, C. Conceiçãoa,b, L. Cachuchoc, F. Silvac, C. Matosc, E. Lamya, F. Capela e Silvaa,d, A. Pereiraa,b a ICAAM - Instituto de Ciências Agrárias e Ambientais Mediterrânicas, Universidade de Évora, Portugal
b Master Student, Departamento de Zootecnia, Universidade de Évora, Portugal c Departamento de Zootecnia, Universidade de Évora, Portugal
d Departamento de Biologia, Universidade de Évora, Portugal 1 [email protected]
Abstract
• Holstein dairy cows with high milk production were compared with dairy cows with low milk production
• Saliva was collected during two periods: high temperatures (August) and moderated temperatures (October)
• Salivary proteins as potential biomarkers of production, which can be useful to understand the physiological mechanisms involved in animals' adaptation.
P2.14
• Important differences in the region of 70 kDa, which should be further identified – potentially HSP70?
Overview of Results and Conclusions
HP LP
• These findings imply that saliva can be a valuable alternative to blood for evaluation of thermotolerance.
Both periods: Band d (70 kDa) > expression in high producing cows Band o (~15 kDa) > expression in high producing cows Thermoneutrality: Band e (~60kDa) > expression in low producing cows Band g (~40kDa) > expression in high producing cows
Thank you!
Oxidized protein biomarkers in the blood and milk of cows supplemented with flaxseed during the dry period Nadia Guzzo1,2, Lucia Bailoni1, Roberto Mantovani2, Laura Da Dalt1, Gianfranco Gabai1 1 Department of Comparative Biomedicine and Food Science (BCA), 2 Department of Agronomy, Food, Natural Resources, Animals and the Environment (DAFNAE), University of Padua, Italy
Abstract
We measured biomarkers of oxidized proteins in plasma and in colostrum and milk in dairy cows during the dry period and early lactation. A group of cows received flaxseed during the dry period as a source of linolenic acid, which potentially may affect the oxidative status.
P2.15
Plasma and milk proteins apparently experienced different oxidative conditions;
Different radicals can produce different alterations in protein structures, and a panel of biomarkers of protein oxidation can better characterize the OS status;
Around calving, AOPP and Carbonyl Group concentrations showed opposite trends which need further investigations;
Advanced Oxidation Protein Products in whey showed a weak correlation with somatic cell count requiring more detailed investigation;
We are undertaking further studies to identify the modified proteins.
Overview of Results and Conclusions
Potential use of milk based biomarkers to assess and to select for heat tolerance in dairy cattle
H. Hammami1,2, J. Vandenplas3, M.-L. Vanrobays1,*, C. Bastin1 & N. Gengler1
1 University of Liège, Gembloux Agro-Bio Tech, Belgium 2 National Fund for Scientific Research, Belgium
3 Wageningen UR Livestock Research, the Netherlands [email protected]
Abstract
Effect of temperature humidity index (THI) on traditional and novel milk-recording data was evaluated. Phenotypic and genetic variation differed by traits across THI values. Somatic cell score, fat yield, unsaturated fatty acid (FA) & C18:1 cis-9 had the greatest sensitivity to hot conditions in a temperate region.
P2.16
Overview of Results and Conclusions
• Most milk and FA traits showed negative phenotypic & genetic trends as THI values increased
• Their genetic correlations between low & high THI values > 0.80
Moderate influence of heat stress (HS) on genetic expression of traits
• Somatic cell score, fat yield, unsaturated FA & C18:1 cis-9 increased as THI values increased
• Their genetic correlations between low & high THI values < 0.68
Great sensitivity to HS, particularly for C18:1 cis-9
• Changes of C18:1 cis-9 under hot conditions could be a very affordable milk biomarker of HS for dairy cattle expressing the equilibrium between feed intake & mobilization under HS
The effect of solid feed diet on the oral and cross-sucking behaviour of pre-weaned dairy calves
C Hansen and Jean K Margerison [email protected]
P2.17
Monthly recordings of ß-hydroxybutyrate (BHB) concentrations in milk during early lactation to characterize
energy status Julia Kesser1, Christian Koch2, Katharina Elsen1, Christian Rietz3, Helga
Sauerwein1 & Ute Müller1 1University Bonn, Germany, 2Hofgut Neumuehle, Germany and 3University
of Cologne, Germany
Abstract
BHB was analysed in milk by using the Middle Infrared area (MIR-BHB). Linear regression models were made to predict the BHB serum concentration and the energy balance. Among other variables milk MIR-BHB concentration can predict BHB serum concentration during the first 5 weeks p.p.. The model supports the farmer for taking further animal-individual steps to attenuate the risk for disease. P 2.18
P2.18
Linear regression model to predict:
• Energy balance (MJ NEL) in the 9 weeks p.p. with the variables “fat to protein
ratio”, “DIM”, “milk yield” and “fat to lactose ratio” (without milk MIR-BHB)
(R² = 0.61, p < 0.001)
to support the farmer in monitoring the energy intake of the fresh cows.
• BHB serum concentration (µmol/L) in the first 5 weeks p.p. with the variables
“milk MIR-BHB concentration”, “fat to protein ratio”, “DIM” and “previous milk
performance” (R² = 0.48, p < 0.001)
to support the farmer to screen cows at risk of high BHB serum
concentrations during the first 5 weeks p.p. as a basis for taking further animal-
individual steps to attenuate the risk for disease.
Among other variables milk MIR-BHB concentration is a significant predictor of the
BHB serum concentration for the monthly milk recordings during early lactation.
Please visit the poster!
Overview of Results and Conclusions
Interrelationship between body weight gain and insulin responsiveness in young dairy calves
Danijela Kirovski1, Ljubomir Jovanović1, Ivan Vujanac1, Radiša Prodanović1, Miloje Đurić1, Snežana Stevanović-Đorđević1, Mihailo Anitić2
1Faculty of Veterinary Medicine University of Belgrade, Bulevar oslobodjenja 18, 11000 Belgrade, Serbia, 2Patent Co, Vlade Ćetkovida 1A, 24211 Mišidevo, Serbia
Introduction
Metabolic changes early in life may exert long-term effects on the metabolic function of calves due to the link between the plane of nutrition and growth in early life and future animal performance. The objective of this study was to determine if the body weight gain of young calves before weaning affect their insulin responsiveness during intravenous glucose tolerance test (GTT).
P2.19
• Results:
(1) Similar glycemic levels were measured in both groups, during GTT.
(2) LWG calves tend to produce more insulin to maintain similar glycemic levels.
(3) I/G tend to be higher in LWG than HWG.
• Conclusion:
Impaired insulin responsiveness was observed in LWG. More research is needed to assess whether this impaired insulin responsiveness may be long lasting and may have negative effect on productive and reproductive performances in older animal.
Overview of Results and Conclusions
Material and Methods
One month old Holstein calves were divided in two groups that were on different dietary regiment for the next 30 days. First group gained less (lower weight gain group – LWG) than second group (higher weight gain group – HWG). Intravenous glucose tolerance tests (GTT) were performed in selected calves from each group at the end of experiment.
Oral vitamin D – effects on serum magnesium in goats Cecilia Kronqvist1, Malin Nemeth2, Elisabeth Kolp2, Heini Bachmann3,
Annette Liesegang2 1Swedish University of Agricultural Sciences, Sweden 2University of Zurich, Switzerland
3Herbonis AG, Switzerland
Cholecalciferol
Calcitriol Magnesium
Calcium
Vitamin D ?
P2.20
• Calcitriol glycosides during 5 days (10 mg Solbone A cws /kg BW/day) increased serum magnesium
• No effect of cholecalciferol (62µg/day)
• Longer treatment caused decreased appetite
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Control Cholecalciferol Calcitriol
Estrone sulphate and enzymatic activities in mare milk throughout gestation
Kuai Yu1, Gisela Girmé2, Raquel Pato1, Mercè Olivé3, Mª Àngels Calvo2, Anna Bassols1.
1Departament de Bioquimica i Biologia Molecular and 2Departament de Sanitat i d’Anatomia Animals. Facultat de Veterinaria. Universitat Autònoma de Barcelona. 3Labco SA, Barcelona.
Abstract The concentration of estrone sulphate estrogen (E3S) and activities of enzymes in cow milk had been presented in retrospective studies, however those in horse milk are not known. Extending the range of investigated species would bring interesting results, so we analyzed the E3S concentration and enzymatic activities in mare milk in different gestation period. Our result may provide some useful information for those horse milk consumers.
P2.21
• Two pregnant mares are analyzed, the mean concentration of E3S in Mare 1 is 48.00±32.48 µg/mL and in Mare 2 is 34.73±19.49 µg/mL.
• The range of E3S in Mare 1 is 5.87 – 93.92 µg/mL and in Mare 2 is 60.5 – 58.38 µg/mL.
• The concentration of E3S is very low in non-pregnant mares and it peaks at the 9th pregnancy month in both mares.
Overview of Results and Conclusions
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Mare 1 - Estrone sulphate in milk
• The enzymatic activity appears two peaks in 5th and 9th pregnancy month in both mares.
• Please visit our poster, thank you!
Second DairyCare Conference, Cordoba, Spain, March 3rd-4th 2015
Developing Innovative Health and Welfare Management Tools for Dairy Cows from Optimized
Use of Milk Mid-Infrared Spectra (OptiMIR)
A. Lainé1, C. Bastin1, C. Grelet2, F. Dehareng2, X. Massart3, C. Bertozzi3 & N. Gengler1 1 University of Liege, Gembloux Agro-Bio Tech, Department of Agricultural Science – Gembloux, Belgium
2 Walloon Agricultural Research Center (CRA-W), Valorisation of Agricultural Products Department – Gembloux, Belgium
3 Walloon Breeding Association (AWE) - Ciney, Belgium
www.optimir.eu
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Example of a MIR spectrum of milk
P2.22
Second DairyCare Conference, Cordoba, Spain, March 3rd-4th 2015
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Fingerprint of the milk composition
Animal status
Fertility
Health and Welfare Feeding Milk quality Environment
Developing new management tools From the individual to the population
level, through the herd level Large scale sampling for large-scale
health and welfare monitoring of dairy cattle
The OptiMIR project
European collaboration between 5 research institutions,
11 milk recordings organisation and 1 milk lab
Common database combining reference data and MIR spectra enabling access of partners to relevant data
Need of MIR spectra standardization to overcome variation during time and differences between MIR instruments used
Development of innovative methods to deal with high dimensional and longitudinal data in order to extract animal status, product quality, environmental footprint …
How does calving in small groups with individual calving pens work? Lena Lidfors, Torgunn Aslaug Skjervet and Julie Føske Johnsen
P2.23
Prevalence of and risk factors for Failure of Passive Transfer of immunity in newborn calves in Italian dairy farms
Isabella Lora1, Marta Brscic1, Barbara Contiero1, Giulio Cozzi1, Flaviana Gottardo1, Annalisa Stefani2
1University of Padova, Italy. 2 Istituto Zooprofilattico Sperimentale delle Venezie, Padova, Italy.
Abstract
Blood samples were taken from 222 calves 2 to 5 days old. A sample of the first colostrum meal of each calf was collected too. Serum and colostrum samples were analyzed to determine γ-globuline (IgG) concentration. Results showed a high prevalence of calves
having FPT. The major risk factors for FPT resulted to be the age at first colostrum feeding and colostrum quality.
P2.24
• Results:
• Conclusions:
There is poor awareness and attention by farmers towards an effective management of newborn calves.
Overview of Results and Conclusions
FPT serum IgG <10 g/L
43.7%
Adequate PT serum IgG 10-15.9 g/L
32.9%
Optimal PT serum IgG >16 g/L
23.4%
ODDS RATIO OR P
Age at first colostrum
feeding > 6h vs < 6h 3.2 < 0.05
Colostrum quality
Low (IgG < 50 g/L)
vs High (IgG ≥ 50 g/L)
3.8 < 0.001
PASSIVE TRANSFER (PT) IN TESTED CALVES (PREVALENCE)
Effect of maternal dry period length and nutrition on colostrum quality, natural and specific humoral immunity and development of calves
Novi Mayasari, Gerrit J Remmelink, Henk K Parmentier, Bas Kemp, and Ariette TM Van Knegsel [email protected]
P2.25
P2.25 Effect of dry period length on colostrum
quality and plasma antibodies in calves
N. Mayasari, GJ Remmelink, HK Parmentier, B. Kemp and ATM van Knegsel
Shorter dry periods are of interest because it increases metabolic health in early lactation
No dry period has negative
consequences for colostrum quality
What are the consequences
for calf health? Fig.1. Effect of dry period length on IgG and IgM in colostrum.
No dry period, compared with 30 or 60 d dry period:
→ lower antibody titers in the first weeks of life
→ no effect on specific antibody response in calves
Fig.2. Effect of maternal dry period length on Ig binding keyhole limpet hemocyanin (KLH) titers in calves.
The use of 1H NMR-based metabolomics for the detection of heat stress markers in dairy goats
Nazri Nayan, Ahemd AK Salama, Alexandra Contreras-Jodar, Soufiane Hamzaoui, and Gerardo Caja [email protected]
P2.26
NMR-detected biomarkers of tolerance to seasonal weight loss in goats: a tool for breed selection
Mariana Palma, Lorenzo E Hernández-Castellano, Noemí Castro , Anastasio Arguëllo, Juan Capote, Manolis Matzapetakis and André M de
Almeida [email protected]
P2.27
An NGS-based gene expression profile study in the goat mammary gland: the effect of undernutrition in two breeds with different levels of
adaptation to Nutritional stress José R. Parreira, Joana R. Lérias, Lorenzo E. Hernández-Castellano,
Mariana Palma, Noemí Castro, Anastasio Argüello, Juan Capote, Susana S. Araújo and André M. Almeida [email protected]
P2.28
MATERIALS AND METHODS:
• Animals: 15 dairy cows from one single herd
• Samples: hair obtained using electric razor from the forehead at: 0 (ST1), 30 (ST2) and 60 days (ST3) after the start of summer grazing
• Hormones: cortisol and DHEA hair extracted by methanol and analysed by RIA
Peric et al. 2015. Hair cortisol and DHEA levels in dairy cows reared on summer pastures.
AIM
To measure hair cortisol (non-acute stress indicator) and hair DHEA (resilience indicator) concentrations during the environmental change occurred because of moving the cows from winter housing to summer high mountains pastures.
P2.29
Hair cortisol and DHEA levels in dairy cows reared on summer pastures
Tanja Peric1,3, Mirco Corazzin2, Antonella Comin1, Stefano Bovolenta2, Marta Montillo1 & Alberto Prandi1
1Department of Food Science, University of Udine, Italy; 2Department of Agricultural and Environmental Science, University of Udine, Italy; 3Center for Biomedical Science and Engineering, University of Nova Gorica, Slovenia.
[email protected], [email protected]
P2.29
RESULTS
CONCLUSION Moving dairy cows from winter housing to summer grazing at 1600 m of altitude involves:
a) an activation of the HPA axis
b) an increase of the allostatic load
but does not reduce the welfare of the cows.
P2.29
Peric et al. 2015. Hair cortisol and DHEA levels in dairy cows reared on summer pastures.
Effects of rumen protected choline supplementation on milk yield, plasma metabolites methionine and lysine in dairy cows fed hay based
diets Luciano Pinotti, M Ottoboni, V Caprarulo, A Pilotto, G Invernizzi, G
Savoini, and A Baldi [email protected]
P2.30
P2.30-Effects of rumen protected choline supplementation in dairy cows fed hay based diets by
Pinotti et al.
• Choline has been proposed as limiting nutrient in lactating dairy cows
• Most of the studies have been done using silage/corn based diets – Maize silage either constituted
the sole forage or was fed as a mixture with others
– Concentrates mainly consisted of maize grain.
• 14 cows: – Control: basal diet+empty capsules
– RPC:20g of RPC
• From28 to 91 DIM
• Plasma metabolites +Met and Lys
As Fed CHEMICAL COMPOSITION (DM%)
kg/d Forages 51.3
Alfalfa hay 8 Forages NDF 78.3
Perennial hay 5 NDF 31.3
Corn meal 4 NFC 41.2
Steam flaked corn 2.8 Starch 21.7
Soybean meal 44 2 CP 16.5
Beet pulp dry 1 EE 5.12
Molasses cane 1 Met (%MP) 1.95
DDGS 1 Lys (%MP) 6.54
Megalac 0.5 Lys:Met 3.35
Mineral vitamin mix 0.37 NEl (mCal/kg) 1.73
Total 25.67 DM 89%
Results and conclusions
• RPC & hay based diets
– did not affect milk yield (28.2vs.29.4 kg/d)
– tended to affect glucose and plasma Met
• However, an exhaustive comparison with silage-based diet, merits further investigations.
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Implementation of the project “Intramammary propolis formulation for prevention and treatment of mastitis in dairy ruminants”
Lada Radin, Goran Bačić, Krešimir Matanović, Nino Mačešić, Tomislav Mašek, Diana Brozić, Miroslav Benić, Božo Radić and Jelena Šuran
P2.31
Proteomic analysis of differentially expressed proteins in Jafarabadi buffalo (Bubalus bubalis) milk whey during mastitis
André M Santana , Daniela G Silva , Funmilola Thomas , Richard J S Burchmore , José J Fagliari and P David Eckersall
P2.32
Objective:
Analyse modifications of the milk whey proteome profile in buffaloes
with mastitis, in order to identify potential biomarkers for this disease.
2D – Electrophoresis
Healthy milk whey samples (n=6)
Mastitic milk whey samples (n=11)
Proteomic analysis of differentially expressed proteins in buffalo milk
whey during mastitis
Andre M. Santana (UNESP, Sao Paulo, Brazil)
Prof. Peter David Eckersall (University of Glasgow, UK)
Prof. Richard J.S. Burchmore (University of Glasgow, UK)
100
170
130
70
55
40
35
15
10
25
pH 3 10
Results
SameSpots image software - 13 proteins increased in mastitis milk whey:
Ig M, Ig G1, Ig Light Chain
CD14, Complement C3
Lactoferrin
Serotransferrin, Haptoglobin
α – 2 microglobulin
Clusterin, Lactadherin
Cathepsin B, Endopin 2B
Future Perspectives:
Difference Gel Electrophoresis (DiGE)
Gel-free analyses – Dimethyl Labelling
Defense/Immunity-related proteins
APP’s
Others
From biomarkers for oxidative stress to the development of
innovative milk replacer for neonatal calves Vered Sibony and Ariel Shabtay
Beef cattle section, Agricultural Research Organization (ARO), Israel [email protected]
Organization (ARO), Israel Abstract
Oxidative stress biomarkers serves as successful predictors of transportation stress related BRD episodes, implying that controlling plasma reduction capacity may be a key element in reducing transportation stress and improving welfare. This may be achieved by designing the composition of milk supplemented to neonatal calves.
P2.33
• Healthy (compared to sick) calves had significantly higher plasma reducing potential already pre-transportation (P=0.0023).
• Susceptibility of calves to BRD can be predicted at early life stages, not necessarily related to a stress event.
• controlling plasma reducing potential may be a key element in reducing transportation stress.
• To date milk replacers do not contain sufficient amount of antioxidants, in contrast to the high levels in colostrum.
• Therefore, we aim to characterize the metabolomic profile of milk and to develop innovative milk replacer In order to improve the welfare of calves.
Please visit the poster!
Overview of results and conclusions
Jože Starič, Jožica Ježek
MILK RECORDING IN DAIRY CATTLE
IN SLOVENIA – A VALUABLE AID FOR
HEARD HEALTH AND WELFARE
MONITORING
UNIVERSITY OF LJUBLJANA, VETERINARY FACULTY
P2.34
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Centralna podatkovna zbirkaGovedo (CPZ Govedo)
Kmetijski in! titut Slovenije
Hacquetova 17, SI-1000 Ljubljana
http://[email protected]
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Podatki mle! nosti na dan kontrole 02.02.15 Podatki o zadnji osemenitvi
Zap.
"t.
ID #ivali $tevilka
ovratnice
Ime Zadnja
telitev
Mleko
kg
Ma"! .
%
Beljak.
%
Lakt.
%
$SC
(x1000)
Se! nina
mg/100 ml
Razmerje
M/B
Mesec po
telitvi
Datum
osem.
Plemenski
bik
Dokument
osemenitve
Prireja
mleka
1 SI 63267424 JASNA 08.10.14 13,1 4,90 3,53 4,66 1019 13 1.39 4 22.01.15 131548 CUNAMI OS 11245957 LA
2 SI 93335292 RUNA 24.05.14 9,5 5,06 3,92 4,80 152 10 1.29 9 08.08.14 121546 HOMER OS 11207277 LA
3 SI 13541990 CULA 26.01.14 8,1 5,70 4,32 4,38 844 17 1.32 13 07.07.14 121518 VALI OS 11207356 LA
4 SI 03632103 SOTLA 21.01.15 20,6 5,25 3,66 4,53 68 14 1.43 1 LA
5 SI 83632112 BARAKUDA 16.03.14 16,7 5,64 3,33 4,63 126 5 1.69 11 06.11.14 862270 GONZO OS 11207389 LA
6 SI 53632115 LUNA 11.08.13 8,9 5,41 4,34 4,18 360 11 1.25 18 07.10.14 161596 LAP OS 11207196 LA
7 SI 23632118 HELDA 26.06.14 18,1 4,89 3,28 4,43 57 13 1.49 8 11.11.14 131548 CUNAMI OS 11254532 LA
8 SI 63825332 HANA 15.04.14 10,1 5,66 3,82 4,44 323 11 1.48 10 29.07.14 131548 CUNAMI OS 11207495 LA
9 SI 33825335 LUCA 10.04.14 16,9 4,96 3,63 4,65 27 3 1.37 10 18.11.14 131777 MIKI OS 11207043 LA
10 SI 23825343 13 ROZI 22.10.14 14,1 4,23 3,29 4,60 28 13 1.29 4 14.01.15 121374 ZEDOR OS 11245835 LA
11 SI 24031132 KO" A 17.02.14 12,1 5,65 3,54 4,55 56 2 1.60 12 16.09.14 862270 GONZO OS 11207452 LA
12 SI 94034255 CENKA 20.05.14 12,5 4,50 3,42 4,60 67 19 1.32 9 30.10.14 121470 RUCIN OS 11207121 LA
13 SI 84034256 LEJLA 16.03.14 13,7 5,48 3,20 4,60 227 9 1.71 11 27.09.14 862270 GONZO OS 11207388 LA
14 SI 14034260 ANUK 15.08.14 16,5 5,43 3,16 4,70 77 11 1.72 6 25.01.15 131818 ALSTOM OS 11207084 LA
15 SI 94034262 12 JELKA 18.11.14 19,2 4,38 2,58 4,82 69 20 1.70 3 LA
16 SI 34034268 BELUGA 25.01.15 12,1 4,43 3,82 4,70 102 16 1.16 1 LA
17 SI 84076962 " IGRA 27.10.14 13,7 4,22 2,59 4,62 41 27 1.63 4 14.01.15 131818 ALSTOM OS 11245836 LA
S klikom mi"ke v posamezno polje grafikona dobite ustrezno razlago.
Rejci, ki ste za svoje molznice vnesli "tevilke ovratnic, lahko na spodnjih grafikonih preklopite na pogled po "tevilki ovratnice.
Po številki ovratnice
Rde! e "tevilke predstavljajo krave, ki so manj kot 80 dni po telitvi, modre "tevilke pa krave, ki so ve! kot 305 dni po telitvi.
2/ 27/ 15 9:20 AMIzpis kontrol v čredi na dan kontrole 02.02.15
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Centralna podatkovna zbirka
Govedo (CPZ Govedo)
Kmetijski in! titut SlovenijeHacquetova 17, SI-1000 Ljubljana
http://[email protected]
Izpis kontrol v ! redi na dan kontrole 02.02.15
REJEC: 999999999 - NEZNANI REJEC
Podatki mle! nosti na dan kontrole 02.02.15 Podatki o zadnji osemenitvi
Zap."t.
ID #ivali $tevilkaovratnice
Ime Zadnjatelitev
Mlekokg
Ma"! .%
Beljak.%
Lakt.%
$SC(x1000)
Se! ninamg/100 ml
RazmerjeM/B
Mesec potelitvi
Datumosem.
Plemenskibik
Dokumentosemenitve
Prirejamleka
1 SI 63267424 JASNA 08.10.14 13,1 4,90 3,53 4,66 1019 13 1.39 4 22.01.15 131548 CUNAMI OS 11245957 LA
2 SI 93335292 RUNA 24.05.14 9,5 5,06 3,92 4,80 152 10 1.29 9 08.08.14 121546 HOMER OS 11207277 LA
3 SI 13541990 CULA 26.01.14 8,1 5,70 4,32 4,38 844 17 1.32 13 07.07.14 121518 VALI OS 11207356 LA
4 SI 03632103 SOTLA 21.01.15 20,6 5,25 3,66 4,53 68 14 1.43 1 LA
5 SI 83632112 BARAKUDA 16.03.14 16,7 5,64 3,33 4,63 126 5 1.69 11 06.11.14 862270 GONZO OS 11207389 LA
6 SI 53632115 LUNA 11.08.13 8,9 5,41 4,34 4,18 360 11 1.25 18 07.10.14 161596 LAP OS 11207196 LA
7 SI 23632118 HELDA 26.06.14 18,1 4,89 3,28 4,43 57 13 1.49 8 11.11.14 131548 CUNAMI OS 11254532 LA
8 SI 63825332 HANA 15.04.14 10,1 5,66 3,82 4,44 323 11 1.48 10 29.07.14 131548 CUNAMI OS 11207495 LA
9 SI 33825335 LUCA 10.04.14 16,9 4,96 3,63 4,65 27 3 1.37 10 18.11.14 131777 MIKI OS 11207043 LA
10 SI 23825343 13 ROZI 22.10.14 14,1 4,23 3,29 4,60 28 13 1.29 4 14.01.15 121374 ZEDOR OS 11245835 LA
11 SI 24031132 KO" A 17.02.14 12,1 5,65 3,54 4,55 56 2 1.60 12 16.09.14 862270 GONZO OS 11207452 LA
12 SI 94034255 CENKA 20.05.14 12,5 4,50 3,42 4,60 67 19 1.32 9 30.10.14 121470 RUCIN OS 11207121 LA
13 SI 84034256 LEJLA 16.03.14 13,7 5,48 3,20 4,60 227 9 1.71 11 27.09.14 862270 GONZO OS 11207388 LA
14 SI 14034260 ANUK 15.08.14 16,5 5,43 3,16 4,70 77 11 1.72 6 25.01.15 131818 ALSTOM OS 11207084 LA
15 SI 94034262 12 JELKA 18.11.14 19,2 4,38 2,58 4,82 69 20 1.70 3 LA
16 SI 34034268 BELUGA 25.01.15 12,1 4,43 3,82 4,70 102 16 1.16 1 LA
17 SI 84076962 " IGRA 27.10.14 13,7 4,22 2,59 4,62 41 27 1.63 4 14.01.15 131818 ALSTOM OS 11245836 LA
S klikom mi"ke v posamezno polje grafikona dobite ustrezno razlago.
Rejci, ki ste za svoje molznice vnesli "tevilke ovratnic, lahko na spodnjih grafikonih preklopite na pogled po "tevilki ovratnice.
Po številki ovratnice
Rde! e "tevilke predstavljajo krave, ki so manj kot 80 dni po telitvi, modre "tevilke pa krave, ki so ve! kot 305 dni po telitvi.
2/ 27/ 15 9:20 AMIzpis kontrol v čredi na dan kontrole 02.02.15
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Centralna podatkovna zbirkaGovedo (CPZ Govedo)
Kmetijski in! titut SlovenijeHacquetova 17, SI-1000 Ljubljana
http://[email protected]
Izpis kontrol v ! redi na dan kontrole 02.02.15
REJEC: 999999999 - NEZNANI REJEC
Podatki mle! nosti na dan kontrole 02.02.15 Podatki o zadnji osemenitvi
Zap."t.
ID #ivali $tevilkaovratnice
Ime Zadnjatelitev
Mlekokg
Ma"! .%
Beljak.%
Lakt.%
$SC(x1000)
Se! ninamg/100 ml
RazmerjeM/B
Mesec potelitvi
Datumosem.
Plemenskibik
Dokumentosemenitve
Prirejamleka
1 SI 63267424 JASNA 08.10.14 13,1 4,90 3,53 4,66 1019 13 1.39 4 22.01.15 131548 CUNAMI OS 11245957 LA
2 SI 93335292 RUNA 24.05.14 9,5 5,06 3,92 4,80 152 10 1.29 9 08.08.14 121546 HOMER OS 11207277 LA
3 SI 13541990 CULA 26.01.14 8,1 5,70 4,32 4,38 844 17 1.32 13 07.07.14 121518 VALI OS 11207356 LA
4 SI 03632103 SOTLA 21.01.15 20,6 5,25 3,66 4,53 68 14 1.43 1 LA
5 SI 83632112 BARAKUDA 16.03.14 16,7 5,64 3,33 4,63 126 5 1.69 11 06.11.14 862270 GONZO OS 11207389 LA
6 SI 53632115 LUNA 11.08.13 8,9 5,41 4,34 4,18 360 11 1.25 18 07.10.14 161596 LAP OS 11207196 LA
7 SI 23632118 HELDA 26.06.14 18,1 4,89 3,28 4,43 57 13 1.49 8 11.11.14 131548 CUNAMI OS 11254532 LA
8 SI 63825332 HANA 15.04.14 10,1 5,66 3,82 4,44 323 11 1.48 10 29.07.14 131548 CUNAMI OS 11207495 LA
9 SI 33825335 LUCA 10.04.14 16,9 4,96 3,63 4,65 27 3 1.37 10 18.11.14 131777 MIKI OS 11207043 LA
10 SI 23825343 13 ROZI 22.10.14 14,1 4,23 3,29 4,60 28 13 1.29 4 14.01.15 121374 ZEDOR OS 11245835 LA
11 SI 24031132 KO" A 17.02.14 12,1 5,65 3,54 4,55 56 2 1.60 12 16.09.14 862270 GONZO OS 11207452 LA
12 SI 94034255 CENKA 20.05.14 12,5 4,50 3,42 4,60 67 19 1.32 9 30.10.14 121470 RUCIN OS 11207121 LA
13 SI 84034256 LEJLA 16.03.14 13,7 5,48 3,20 4,60 227 9 1.71 11 27.09.14 862270 GONZO OS 11207388 LA
14 SI 14034260 ANUK 15.08.14 16,5 5,43 3,16 4,70 77 11 1.72 6 25.01.15 131818 ALSTOM OS 11207084 LA
15 SI 94034262 12 JELKA 18.11.14 19,2 4,38 2,58 4,82 69 20 1.70 3 LA
16 SI 34034268 BELUGA 25.01.15 12,1 4,43 3,82 4,70 102 16 1.16 1 LA
17 SI 84076962 " IGRA 27.10.14 13,7 4,22 2,59 4,62 41 27 1.63 4 14.01.15 131818 ALSTOM OS 11245836 LA
S klikom mi"ke v posamezno polje grafikona dobite ustrezno razlago.
Rejci, ki ste za svoje molznice vnesli "tevilke ovratnic, lahko na spodnjih grafikonih preklopite na pogled po "tevilki ovratnice.
Po številki ovratnice
Rde! e "tevilke predstavljajo krave, ki so manj kot 80 dni po telitvi, modre "tevilke pa krave, ki so ve! kot 305 dni po telitvi.
+ CULLING ANALYSIS
+ SCC (for the herd)
+ REPRODUCTIVE PARAMETERS …
Identifying biomarkers in adipose tissue by proteomic analysis that are related to metabolic status, peripartum insulin resistance and body
weight loss in dairy cows Maya Zachut [email protected]
P2.35
Biomarkers in adipose tissue of dairy cows related to peripartum insulin resistance and body weight loss by proteomic analysis
Maya Zachut ARO, Volcani Center, Israel. [email protected]
Adipose tissue biopsies were obtanied from 8 multiparous dairy cows at -17 and +4 d relative to calving, and sent to proteomic analysis. Various proteins (18.9%) were differentially expressed in cows with insulin-resistant adipose compared to insulin-sensitive adipose. These biomarkers might be used to characterize cows with improved metabolic status.
P2.35
• Brief Results:
Cows were divided to those with insulin resistant (IR) or insulin sensitive (IS) adipose based on Akt phosphorylation in response to insulin stimulation (Zachut et al., 2013).
Cows with IR adipose lost more BW and had higher blood NEFA in early lactation.
18.9% (111/586) of proteins were differentially expressed in IR vs. IS adipose.
Proteins related to lipid metabolism were higher in IR than in IS adipose: hormone-sensitive lipase (P < 0.03), monoglycerol lipase (P < 0.0003) and perilipin (P < 0.05).
• Conclusion:
The expression of proteins in adipose is correlated to IR and BW loss which may indicate of the metabolic status of the cow.
These biomarkers might be used to characterize cows with improved metabolic status.
Overview of Results and Conclusions
Additional Poster
Effect of grape pomace on milk protein composition in dairy cows Ionelia Taranu, Cristina Lazar, Gina Cecilia Pistol, Smaranda Toma and
Catalin Dragomir [email protected]
P2.36
Effect of grape pomace on milk protein
composition in dairy cows Ionelia Taranu, Cristina Lazar, Gina Cecilia Pistol, Smaranda Toma and Catalin Dragomir
INCDBNA, National Institute for Research and Development for Biology and Animal Nutrition, Romania,
E-mail: [email protected]
30 Holstein-Friesian
multiparous cows
Milk samples
monofactorial
feeding trial
Control
diet
Grape
pomace
diet
3 months
Control
(7 cows)
Grape
pomace
(7 cows)
•Milk composition (Ekomilk M
analyser)
•Protein fraction (SDS-PAGE)
This study investigated the effect of dietary grape pomace inclusion on milk composition and milk protein fractional composition in dairy cows.
Aim of the study:
Experimental design:
RESULTS
Period
Milk components
Fat (g %) Protein (g %) NFE (g %)
Mean SEM Mean SEM Mean SEM
Control 4.05 0.32 3.33 0.05 8.82 0.14
Grape
pomace 3.26 0.32 3.30 0.07 8.76 0.20
Protein fractions, with low molecular weights (<70 kDa), such as caseins and whey proteins were higher expressed in the milk of cows receiving the grape pomace diet.
A slight effect of grape pomace diet on milk composition with a trend to decrease the fat proportion (3.26 vs 4.05%) was observed after 3 month of feeding.
An increase of β-Lg (+60.04%, p<0.05), a major protein of whey, known for its antioxidant activity and for α-LG (15.15%), important for the prevention of mucosal inflammation was observed.
Results suggest that it is possible to improve milk protein quality, animal health and wellbeing status by including grape pomace in the diet of lactating cows.
Table 1. Effect of grape pomace on milk composition in cows
Fig 1. Effect of grape pomace on milk proteins Fig 2. Effect of grape pomace on milk protein fractions
0
20
40
60
80
100
Control Grape pomace
zone A
zone B
0
1000000
2000000
3000000
4000000
5000000
albumina secretorycomponents
caseins β-LG α-LA
control
grape pomace
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