Kappa casein (CSN3) is a standout amongst the most vital milk proteins in mammals that assumes a crucial part in milk quality and coagulation. This study aimed to determine genetic polymorphism of the Kappa casein gene (CSN3) and associate its genotype variants on various cumulative milk yields in Holstein Friesian (HF) dairy cattle. A number of 61 blood samples were collected from 2 Holstein Friesian populations, respectively, from IRIAP Breeding Station in Ciawi (61) and Lembang Artificial Insemination Center (Lembang AIC) (17). Real Time -Polymerase Chain Reaction (RT-PCR) method was used to identify variant genotypes of the Kappa Casein gene. In population were detected all three genotypes GG, GT, and TT. The most frequent genotype was TT, with a frequency of 0.63. Results from the statistical association analysis between g.13975G>T CSN3 genotype and cumulative milk yield in standard lactation length were not significant.
Protein content in milk is an important indicator of milk. Accordingly, genetic improvement to produce Holstein Friesian (HF) dairy cattle is important. The objective of this study was to evaluate the genetic variant of milk protein genes and its effect on milk component traits of Holstein Friesian (HF). A total of 100 HF were used in this study. The HF cattle used have physiological status in the lactation period 1 up to 3 and lactation change of 1 up to 12 months. Genotype variants of milk protein genes were identified using Real Time-Polymerase Chain Reaction method. Analysis of milk component was carried out covering the component of protein, fat, lactose, and solid non-fat (SNF) by using a milk quality measuring device (Lactoscan). Genotyping of cattle blood samples consisted of DNA extraction, genes amplification using the RT-PCR method. The result showed that<strong> </strong>protein milk was significantly affected (p<0.05) by the genetic variants of CSN1S1-192 and CSN2-67 genes. Fat milk was significantly affected (p<0.05) by the genetic variants of CSN1S1-192 and CSN3 genes. Meanwhile, solid non-fat milk was significantly affected (p<0.05) by the genetic variants of CSN-BMC9215, CSN-BMC6334, CSN1S1-14618, CSN2_67, and CSN3 genes. Lactose milk was significantly affected (p<0.05) by the genetic variants of CSN-BMC9215 and CSN2-67 genes. It was concluded that genetic variants of the milk protein genes have an association with the component of cow's milk (protein, fat, solid non-fat, and lactose).
The objective of this paper is to explore some efforts to increase milk protein of dairy cows through a milk protein control gene selection approach. Improving the quality of cow's milk has shifted to increase milk protein levels, due to nutritional and economic interest. The breeding process in producing dairy cattle with the advantage of having high milk protein content is more effectively carried out by molecular biotechnology approaches. The content of cow's milk protein is controlled by cow's milk protein control genes. In the process to produce dairy cattle with the advantage of having high milk protein content, it can be done with a selection approach based on milk protein control genes, namely CSN1S1, CSN2, CSN1S2, and CSN3. Once known, the main controller gene that causes high levels of cow's milk protein, it will be easy to identify dairy cattle that have these advantages, so that the selection of dairy cattle can be done since at early age.
Indonesia is a tropical country with a hot climate. In tropical nations such as Indonesia, heat stress is a key reason for the reduced productivity of dairy cattle. Heat stress is a combination of internal and external stimuli that affects an animal, raises its body temperature, and causes it to react physiologically. Most Indonesian dairy cattle are Friesian Holstein (FH), imported from European nations with a temperate environment with low temperatures in the range of 5°C–25°C. Indonesia has a tropical climate with a high ambient temperature that can reach 34°C during the day and the local relative humidity varies between 70% and 90%. Temperature and humidity are two microenvironment factors that may impact the production and heat release in FH cattle. More than 98% of the entire dairy cattle population in Indonesia is found on Java Island. On Java Island, there are between 534.22 and 543.55 thousand heads of cattle, while the dairy cattle population outside Java Island is just 6.59 thousand heads of cattle. The milk output climbs by an average of 3.34% per year, or approximately 909.64 thousand tons and the average annual growth in whole milk consumption was 0.19 L/capita. Indonesian cow milk output has been unable to keep pace with the country’s increasing demand. This study aimed to review the strategies to mitigate heat stress in FH dairy cattle in Indonesia.
Keywords: dairy cattle, heat stress, Indonesia, tropical country.
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