Pigeon paramyxovirus serotype 1 (PPMV-1), an antigenic and host variant of avian paramyxovirus Newcastle disease virus (NDV), primarily originating from racing pigeons, has become a global panzootic. Egypt uses both inactivated PPMV-1 and conventional NDV vaccines to protect pigeons from disease and mortality. However, the impact of prevalent strains and the effectiveness of available vaccines in pigeons in Egypt are unclear. This study investigates the virulence of PPMV-1 (Pigeon/Egypt/Sharkia-19/2015/KX580988) and evaluates available paramyxovirus vaccines in protecting pigeons against a PPMV-1 challenge. Ten-day-old specific-pathogen-free (SPF) embryonated chicken eggs infected with this strain exhibited a mean death time (MDT) of 86.4 ± 5.88 h. The intracerebral pathogenicity index (ICPI) in day-old chickens was 0.8, while pigeons experienced an ICPI of 0.96 and an intravenous pathogenicity index (IVPI) of 2.11. These findings classify the strain as virulent and velogenic. Experimental infection of pigeons with this PPMV-1 strain at 10⁶ EID₅₀/0.1 mL resulted in a 62.5% mortality rate, displaying nervous and enteric distress. The virus caused extensive lesions in visceral organs, with strong immunohistochemistry signals in all examined organs, indicating the systemic spread of the virus concurrent to its neurotropic and viscerotropic tropism. Furthermore, vaccination using an inactivated PPMV-1 and live NDV LaSota vaccine regimen protected 100% of pigeons against mortality, while with a single NDV LaSota vaccine, it was 62.5%. The PPMV alone or combined with NDV LaSota induced protective levels of haemagglutination inhibition (HI) antibody titres and reduced virus shedding from buccal and cloacal cavities. Based on generalised linear gamma model analysis, both PPMV-1 and NDV LaSota are antigenically comparable by HI. These findings suggest that using both inactivated PPMV-1 (G-VI) and live attenuated NDV (LaSota) vaccines is an effective prophylactic regimen for preventing and controlling PPMV-1 and NDV in pigeons, thereby reducing the risk of interspecies transmission.

Pigeon paramyxovirus serotype 1 (PPMV-1), primarily originating from racing pigeons, has become a global panzootic, spreading to poultry and wild birds, thus posing a threat to the poultry industry. Egypt uses both inactivated pigeon paramyxovirus (PPMV-1) and conventional Newcastle disease virus (NDV) vaccines to protect pigeons. However, the impact of prevalent strains and the effectiveness of available vaccines in pigeons in Egypt are unclear. This study investigates the virulence of PPMV-1 isolated from vaccinated pigeons in Sharkia, Egypt (Pigeon/ Egypt/Sharkia-19/2015/KX580988). Ten-day-old specific-pathogen-free embryonated chicken eggs infected with this strain exhibited a mean death time (MDT) of 86.4±5.88 hours. The intracerebral pathogenicity index (ICPI) in day-old chicks was 0.8, while pigeons experienced an ICPI of 0.96 and an intravenous pathogenicity index (IVPI) of 2.11. These findings classify the strain as virulent and velogenic. Experimental infection with this PPMV-1 strain at 106 EID50/0.1 ml resulted in a 62.5% mortality rate in pigeons, displaying nervous and enteric distress. The virus caused extensive lesions in visceral organs, with strong immunohistochemistry signals in all examined organs, indicating the systemic spread of the virus concurrent to its neurotropic and viscerotropic tropism. Furthermore, vaccination using inactivated PPMV-1 and live NDV LaSota vaccine regimen protected 100% of pigeons against mortality, while a single NDV LaSota vaccine provided 62.5% protection. The PPMV alone or combined with NDV LaSota induced protective levels of hemagglutination inhibition antibody titers and reduced virus shedding from buccal and cloacal cavities. These findings suggest that using both inactivated PPMV-1 (G-VI) and live attenuated NDV (LaSota) vaccines is an effective prophylactic regimen for preventing and controlling PPMV-1 and NDV in pigeons, thereby reducing the risk of interspecies transmission.

Yielding of milk is of great economic importance for milk processors in dairy industry and for consumers. Also, milk composition has a major role in determining the price of milk. Protein amount is a major constituent in milk so this study focused on predicting its amount from total milk yield. Generally, the total milk yield and protein amount are linearly correlated, so it is important to study this relationship with other nonlinear models. This work attempted to: investigate the relationship between protein amount and milk production, predict protein amount from total milk yield and choose the best fit model for this purpose. Beside the linear model, ten nonlinear regression techniques were used such as power, quadratic and cubic modelling technique and others. Data of 1300 animal from lactation records of Holstein dairy cattle which belongs to Dina farms at Alexandria-Cairo desert road Egypt were used. The regression models (curve estimation regression method) were applied using SPSS software packages version 26. The goodness of fit measures for the best fit model are the highest value of R square and adjusted R square (inadequate or intuitive measures) with the lowest values of standard error of estimate and AIC values (more accurate measure). The results showed that from the 11 regression models, the power model was the best fit model to predict the amount of protein from total milk yield depending on R Square (0.856) and Adjusted R Square (0.856) that were the highest values between the models, smaller standard error of the estimates (0.230) and AIC value (-13135.84) which were the lowest values between the models. The power model could be used for prediction through this equation (protein amount = 0.130 * (total milk yield ** 0.815) after 15 iteration criteria.

Logistic regression is one of the popular methods used in genetic data analysis. That is applied to predict a categorical binary dependent variable on basis of predictor variables, and to test the probability of getting a particular value of the dependent variable that is related to the explanatory variable. The objective of this study is to highlight the crucial role of biostatistical methods in increasing the accuracy of the results in veterinary and biological practices. Statistical analysis of previously published data in the National Research Center, Dokki, Giza, Cairo, Egypt was done using SPSS version, 24 to predict hepatocellular carcinoma metastasis by knowing the genotypes, age, and gender of the patients. The genotypes and gender displayed a significant effect on metastasis (P < 0.05) while age had no significant effect on metastasis (P > 0.05). There are other types of data (animal breeding and production) which were analyzed by repeated measures ANOVA and principal component analysis (PCA). The repeated measures ANOVA is equivalent to normalized ANOVA, but for related, not independent groups. Data of this test was obtained from a study aimed to measure body weight of three breeds of rabbits at 4 time points 4th, 6th, 8th and 10th weeks of the experiment. The main effect of breed types of rabbits was significant (P < 0.05), the time (weeks) was highly significant (P < 0.001) and their interaction was also highly significant (P < 0.001). Principal component analysis (PCA) is used to reduce a large set of variables to a small set that still contains most of the information in the large set. A reduced set is easier to analyze and interpret. Data with 6 variables reduced to only 2 variables where initial eigenvalues were > 1 for two variables and their values were (2.768 and 1.147).