Nutritional composition of sampled milk powder from the labels

Nutritional composition of sampled milk powder from the labels

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Background: Cow's milk is frequently recognized as the most nearly perfect nourishment for humans [1]. On the one hand, its tremendous nutritional value could affect human health [2]. Milk, on the other hand, is an ideal microbial culture medium [3] and is easily contaminated [1]. Milk quality and safety are commonly causes of anxiety because milk...

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... Though, due to poverty and difficult climatic circumstances in Africa, milk production is experiencing a slow downturn. Nigeria produces just between 560,000 and 570,000 tonnes of fresh milk annually, against the expected industry and domestic consumption and market demand of 1.7 million tonnes (Elekwachi et al., 2021). ...
... According to literature, In Nigeria milk production is synonymous with the northern nomads/herdsmen. The decrease in its production in Nigeria is attributed mostly to climate change and other internal and external factors (Elekwachi et al., 2021, FAO, 2023. Milk production in dairy cows is reduced as a result of heat stress brought on by excessive heat and humidity (Abbas et al., 2019, Hossain et al., 2023. ...
... Descriptive statistics of variables used Table 2 presents the descriptive statistics of the variables used which comprises of the dependent and independent variables. From the Table, the mean diary of milk produced in Nigeria during the study period was 478.93 metric tons which is far less of 1.7 million metric tons expected per annum (Elekwachi et al., 2021). The minimum and maximum range further showed that Nigeria is producing less of its expected outcome. ...
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This study explores the impacts of climate change on milk production in Nigeria. Climate variables such as temperature, rainfall, sunshine, relative humidity and wind speed were considered as covariates in the analysis. Time-series data spanning a period of forty years obtained from the Central Bank of Nigeria and FAOSTAT database was used. The autoregressive distributed lag model was used to analyze both the short run and long run impacts of climate change on milk production. As expected, not all the variables were stationary at levels, but they were all significant at the difference suggesting the presence of cointegration. The result showed that the Bound’s test F-ratio was statistically significant implies the existence of long run and short run relationships among the variables studied. Present findings revealed that temperature, rainfall and relative humidity had a negative impact on milk production, while sunlight recorded a positive impact on milk production both in the short run and long run estimates. The study concludes that milk production in Nigeria dropped as a result of climate change particularly rising temperature and prolonged rainfall. Agricultural climate smart practices were recommended to mitigate impact of climate change on milk production.