Nikolaos Panousis

Prof. Nikolaos Panousis

Clinic for Farm Animals, Faculty of Veterinary Medicine, Aristotle University
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2005 in Microporous and Mesoporous Materials
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Journal Article
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DPD. Papaioannou
D. Papaioannou
Panagiotis Dimitrios KatsoulosPanagiotis Dimitrios Katsoulos
Panagiotis Dimitrios Katsoulos
NPNikolaos Panousis
Nikolaos Panousis
HKH. Karatzias
H. Karatzias

20 July 2006 in Journal of Veterinary Medicine Series A
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Journal Article
Closed access
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NRN. Roubies
N. Roubies
NPNikolaos Panousis
Nikolaos Panousis
AFA. Fytianou
A. Fytianou
Panagiotis Dimitrios KatsoulosPanagiotis Dimitrios Katsoulos
Panagiotis Dimitrios Katsoulos
NGN. Giadinis
N. Giadinis
HKH. Karatzias
H. Karatzias

1 June 2018 in Research in Veterinary Science
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Journal Article
Closed access
NPNikolaos Panousis
Nikolaos Panousis
NSNektarios Siachos
Nektarios Siachos
GKGeorgios Kitkas
Georgios Kitkas
Emmanouil KalaitzakisEmmanouil Kalaitzakis
Emmanouil Kalaitzakis
MKMaria Kritsepi-Konstantinou
Maria Kritsepi-Konstantinou
GVGeorgios E. Valergakis
Georgios E. Valergakis

1 August 2012 in Research in Veterinary Science
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Journal Article
Closed access
NPNikolaos Panousis
Nikolaos Panousis
CBCh. Brozos
Ch. Brozos
IKI. Karagiannis
I. Karagiannis
NGN.D. Giadinis
N.D. Giadinis
SLS. Lafi
S. Lafi
MKM. Kritsepi-Konstantinou
M. Kritsepi-Konstantinou

5 July 2021 in Animals
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Journal Article
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Aikaterini SoufleriAikaterini Soufleri
Aikaterini Soufleri
GBGeorgios Banos
Georgios Banos
NPNikolaos Panousis
Nikolaos Panousis
DFDimitrios Fletouris
Dimitrios Fletouris
Georgios ArsenosGeorgios Arsenos
Georgios Arsenos
GVGeorgios Valergakis
Georgios Valergakis
The objective of this study was to conduct a large-scale investigation of colostrum composition and yield and an evaluation of factors affecting them. In this study, 1017 clinically healthy Holstein cows from 10 farms were used. The colostrum TS were measured using a digital Brix refractometer. Fat, protein and lactose content were determined using an infrared Milk Analyzer. Statistical analysis was conducted using a series of univariate general linear models. The mean (±SD) percentage of colostrum fat, protein, lactose and TS content were 6.37 (3.33), 17.83 (3.97), 2.15 (0.73) and 25.80 (4.68), respectively. Parity had a significant positive effect on the protein and TS content and a negative one on fat content. The time interval between calving and colostrum collection had a significant negative effect on the fat, protein and TS contents and a positive one on lactose. Colostrum yield had a significant negative effect on the protein and TS content, and it was affected by all factors considered. In addition to TS, the evaluation of the colostrum fat content appears essential when neonates’ energy needs are considered. The Brix refractometer, an inexpensive and easy to use devise, can be used effectively in colostrum quality monitoring.

1 December 2019 in Journal of Dairy Science
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Journal Article
Closed access
Aikaterini SoufleriAikaterini Soufleri
Aikaterini Soufleri
GBG. Banos
G. Banos
NPNikolaos Panousis
Nikolaos Panousis
DFD. Fletouris
D. Fletouris
Georgios ArsenosGeorgios Arsenos
Georgios Arsenos
GVGeorgios Valergakis
Georgios Valergakis
The main objective of this study was to assess the genetic background of colostrum yield and quality traits after calving in Holstein dairy cows. The secondary objective was to investigate genetic and phenotypic correlations among laboratory-based and on-farm-measured colostrum traits. The study was conducted in 10 commercial dairy herds located in northern Greece. A total of 1,074 healthy Holstein cows with detailed pedigree information were examined from February 2015 to September 2016. All cows were clinically examined on the day of calving and scored for body condition. All 4 quarters were machine-milked, and a representative and composite colostrum sample was collected and examined. Colostrum total solids (TS) content was determined on-farm using a digital Brix refractometer. Colostrum fat, protein, and lactose contents were determined using an infrared milk analyzer, and energy content was calculated using National Research Council (2001) equations. Dry period length (for cows of parity ≥2), milk yield of previous 305-d lactation (for cows of parity ≥2), age at calving, parity number, season of calving, time interval between calving and first colostrum milking, and milk yield were recorded. Each trait (colostrum yield and quality traits) was analyzed with a univariate mixed model, including fixed effects of previously mentioned factors and the random animal additive genetic effect. All available pedigrees were included in the analysis, bringing the total animal number to 5,662. Estimates of (co)variance components were used to calculate heritability for each trait. Correlations among colostrum traits were estimated with bivariate analysis using the same model. Mean percentage (±SD) colostrum TS, fat, protein, and lactose contents were 25.8 ± 4.7, 6.4 ± 3.3, 17.8 ± 4.0, and 2.2 ± 0.7%, respectively; mean energy content was 1.35 ± 0.3 Mcal/kg and mean colostrum yield was 6.18 ± 3.77 kg. Heritability estimates for the above colostrum traits were 0.27, 0.21, 0.19, 0.15, 0.22, and 0.04, respectively. Several significant genetic and phenotypic correlations were derived. The genetic correlation of TS content measured on-farm with colostrum protein was practically unity, whereas the correlation with energy content was moderate (0.61). Fat content had no genetic correlation with TS content; their phenotypic correlation was positive and low. Colostrum yield was not correlated genetically with any of the other traits. In conclusion, colostrum quality traits are heritable and can be amended with genetic selection.