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1.
Neuromuscul Disord ; 37: 13-22, 2024 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-38493520

RESUMEN

Spinal muscular atrophy (SMA) is an autosomal recessive disease that affects 1 out of every 6,000-10,000 individuals at birth, making it the leading genetic cause of infant mortality. In recent years, reports of sex differences in SMA patients have become noticeable. The SMNΔ7 mouse model is commonly used to investigate pathologies and treatments in SMA. However, studies on sex as a contributing biological variable are few and dated. Here, we rigorously investigated the effect of sex on a series of characteristics in SMA mice of the SMNΔ7 model. Incidence and lifespan of 23 mouse litters were tracked and phenotypic assessments were performed at 2-day intervals starting at postnatal day 6 for every pup until the death of the SMA pup(s) in each litter. Brain weights were also collected post-mortem. We found that male and female SMA incidence does not differ significantly, survival periods are the same across sexes, and there was no phenotypic difference between male and female SMA pups, other than for females exhibiting lesser body weights at early ages. Overall, this study ensures that sex is not a biological variable that contributes to the incidence ratio or disease severity in the SMNΔ7 mouse model.


Asunto(s)
Atrofia Muscular Espinal , Caracteres Sexuales , Ratones , Humanos , Animales , Femenino , Masculino , Incidencia , Atrofia Muscular Espinal/epidemiología , Atrofia Muscular Espinal/genética , Fenotipo , Modelos Animales de Enfermedad , Proteína 1 para la Supervivencia de la Neurona Motora/genética
2.
Anim Sci J ; 91(1): e13414, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32618028

RESUMEN

The purpose of this paper was to utilize the decision trees technique to determine the factors responsible for high monthly milk yield in Polish Holstein-Friesian cows from 27 herds equipped with milking robots. The applied statistical method-the decision tree technique-showed that the most important factors responsible for monthly milk yield of dairy cows using robots were, in descending order of importance: milking frequency, lactation number, month of milking, and type of lying stall. At the same time, it has been ascertained that the highest monthly milk yield (47.24 kg) can be expected from multiparous cows kept in barns with a deep bedding that were milked more frequently than three times per day. On the other hand, the lowest milk production (13.56 kg) was observed among dairy cows milked less frequently than two times a day, with an average number of milked quarters lower than 3.97. The application of the decision trees technique allows a breeder to select appropriate levels of environmental factors and parameters that will help to ensure maximized milk production.


Asunto(s)
Bovinos/fisiología , Industria Lechera/instrumentación , Árboles de Decisión , Lactancia/fisiología , Leche , Robótica , Crianza de Animales Domésticos/métodos , Animales , Industria Lechera/métodos , Ambiente , Femenino , Vivienda para Animales , Factores de Tiempo
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