Empirical Analysis of Egg Production Functions: A Case Study of Ikot Ekpene and Uyo Metropolis of Akwa Ibom State, Nigeria

The study carried out an empirical analysis of egg production functions, a case Study of Ikot Ekpene and Uyo Metropolis of Akwa Ibom State, Nigeria. Specifically, this study was carried out to estimate the egg production functions in the study area, determine the resource use efficiency of egg producers in the study area and to make recommendations based on the findings. Data for this study were obtained from primary source collected from thirty – seven (37) purposively selected poultry farmers using personal observations and interview method while the secondary data were obtained from farm records kept by the farmers. Regression analysis was carried out to show the relationship between egg lay and several input explanatory variables namely; feed intake, mortality rate, culling rate, labour and floor space. Resource use efficiency analysis was used to determine the rationality of the firms in their use of resources. The result showed that the effect of feed intake and labour on egg lay was significant at 0.01% level, Floor space was also significant at 0.01. Further analysis showed that sum of elasticities for feed, labour and floor (EP) is1.59 indicating an increasing return to scale scenario, implying that a 1% increase in the variables; feed, labour, and floor space will lead to a 1.59% increase in egg lay. Of all the four egg production function estimated in this study, it became clear that the exponential function was found to be the lead equation since four out of the five variables employed in this study were significant where as other forms had less numbers of significant variables. The analysis with respect to resource use showed that feed, labour and floor space were over utilized during the period of egg lay

Steroid receptor coactivator-1 modulates the function of Pomc neurons and energy homeostasis

Hypothalamic neurons expressing the anorectic peptide Pro-opiomelanocortin (Pomc) regulate food intake and body weight. Here, we show that Steroid Receptor Coactivator-1 (SRC-1) interacts with a target of leptin receptor activation, phosphorylated STAT3, to potentiate Pomc transcription. Deletion of SRC-1 in Pomc neurons in mice attenuates their depolarization by leptin, decreases Pomc expression and increases food intake leading to high-fat diet-induced obesity. In humans, fifteen rare heterozygous variants in SRC-1 found in severely obese individuals impair leptin-mediated Pomc reporter activity in cells, whilst four variants found in non-obese controls do not. In a knock-in mouse model of a loss of function human variant (SRC-1L1376P), leptin-induced depolarization of Pomc neurons and Pomc expression are significantly reduced, and food intake and body weight are increased. In summary, we demonstrate that SRC-1 modulates the function of hypothalamic Pomc neurons, and suggest that targeting SRC-1 may represent a useful therapeutic strategy for weight loss.Peer reviewe

The UK10K project identifies rare variants in health and disease

M. Kivimäki työryhmäjäsen.The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7x) or exomes (high read depth, 80x) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.Peer reviewe