• Asian-Australasian Journal of Animal Sciences
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• 제20권6호
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• pp.983-988
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• 2007

The aim of this study was to examine the correlation between bovine casein (CN) mRNA expression levels in mammary epithelial cells and lactation period, the yields of milk proteins and other parameters. The cells were collected from each cow's milk, which contained somatic cell counts (SCC) of less than 100,000 cells/ml. The levels of ${\alpha}s1-$, ${\alpha}s2-$, ${\beta}$- and ${\kappa}$-CN mRNA expression were significantly correlated with each other in mammary epithelial cells (p<0.01). All cows produced either less than 30 kg/day/cow or a over 30 kg/day/cow level of milk yield (MY). It was shown that the CN mRNA expression levels decreased gradually from the calving period to late lactation, when MY was over 30 kg/day/cow. The SCC tended to increase gradually during the course of lactation, but it was negatively correlated with milk protein and CN yields (p<0.01) when MY was less than 30 kg/day/cow. Moreover, there was a tendency for a negative correlation between SCC and ${\alpha}s1$-CN and ${\beta}$-CN mRNA expression level, when MY was less than 30 kg/day/cow (p<0.05).

• Asian-Australasian Journal of Animal Sciences
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• 제16권10호
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• pp.1397-1401
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• 2003

The aim of this study was to determine genotypes of four genetic markers and to investigate their association with milk production traits in Brown Swiss cattle imported to Slovakia. The bovine $\kappa$-casein, $\beta$-lactoglobulin, growth hormone and prolactin genotypes of 107 cows were identified by polymerase chain reaction. Effects all four genetic markers on milk, fat, protein and lactose yields and fat, protein and lactose percentage were estimated from a data set of 249 lactations. The frequency of desirable B allele of $\kappa$-casein gene to milk production was 0.46, alleles A of $\beta$-lactoglobulin gene was 0.55, allele and L of growth hormone gene was 0.45 and allele A and B of bovine prolactin gene were 0.61 and 0.39. The results of milk production obtained in our work showed that BB genotypes of $\kappa$-CN gene, AA genotypes of $\beta$-LG gene, LL genotypes of bGH gene were significantly associated with better milk production traits, mainly about the fat content. Association of a bovine prolactin genotypes with milk production were not found.

• Asian-Australasian Journal of Animal Sciences
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• 제32권1호
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• pp.14-22
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• 2019

Objective: The aim of the study was to find a possible association between the ${\beta}-$ and ${\kappa}-casein$ and ${\beta}-lactoglobulin$ genotypes and important milk physiochemical and technological characteristics such as acidity, alcohol stability, the contents of some minerals and the parameters of acid fermentation ability (FEA) in Czech Fleckvieh Cattle. Methods: Milk and blood samples were collected from 338 primiparous Czech Fleckvieh cows at the same stage of lactation. The genotypes of individual cows for ${\kappa}-casein$ (alleles A, B, and E) and ${\beta}-lactoglobulin$ (alleles A and B) were ascertained by polymerase chain reaction-restriction fragment length polymorphism, while their ${\beta}-casein$ (alleles $A^1$, $A^2$, $A^3$, and B) genotype was determined using melting curve genotyping analysis. The data collected were i) milk traits including active acidity (pH), titratable acidity (TA), alcohol stability (AS); calcium (Ca), phosphorus (P), sodium (Na), magnesium (Mg), and potassium (K) contents; and ii) yoghurt traits including active acidity (Y-pH), titratable acidity (Y-TA), and the counts of both Lactobacilli and Streptococci in 1 mL of yoghurt. A linear model was assumed with fixed effects of herd, year, and season of calving, an effect of the age of the cow at first calving and effects of the casein and lactoglobulin genotypes of ${\beta}-CN$ (${\beta}-casein$, CSN2), ${\kappa}-CN$ (${\kappa}-casein$, CSN3), and ${\beta}-LG$ (${\beta}-lactoglobulin$, LGB), or the three-way interaction between those genes. Results: The genetic polymorphisms were related to the milk TA, AS, content of P and Ca, Y-pH and Lactobacilli number in the fresh yoghurt. The CSN3 genotype was significantly associated with milk AS (p<0.05). The effect of the composite CSN2-CSN3-LGB genotype on the investigated traits mostly reflected the effects of the individual genes. It significantly influenced TA (p<0.01), Y-pH (p<0.05) and the log of the Lactobacilli count (p<0.05). Conclusion: Our findings indicate that the yoghurt fermentation test together with milk proteins genotyping could contribute to milk quality control and highlight new perspectives in dairy cattle selection.

• Asian-Australasian Journal of Animal Sciences
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• 제15권5호
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• pp.732-739
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• 2002

Milk samples with different phenotype combination of $\{kappa}$-casein and ${\beta}$-lactoglobulin and different preheating temperatures of 30, 70, 75 and $80^{\circ}C$ were used for cheesemaking under laboratory conditions. For the 853 batches of cheese, mean composition was 59.64% total solids, 30.24% fat and 23.66% protein, and the whey contained 6.93% total solids, 0.30% fat and 0.87% protein. Least squares analysis of the data indicated that heating temperature of the milk and ${\kappa}$-CN/${\beta}$-LG phenotypes had significant effects on cheese and whey compositions. The total solids, fat and protein contents of cheese were negatively correlated with preheating temperatures of milk. Cheese from BB/BB phenotype milk had the highest and those from AA/AA phenotype milk had the lowest concentrations of total solids, fat and protein. Mean recoveries of milk components in the cheese were 53.71% of total solids, 87.15% of fat, and 80.32% of protein. For the 10 different types of milk, maximum recoveries of milk components in cheese occurred with preheating temperature of $70^{\circ}C$ or $75^{\circ}C$ and lowest recoveries occurred at $80^{\circ}C$. The whey averaged 6.94% total solids, 0.30% fat and 0.87% protein. Losses of milk components in the whey were lowest for milk preheated at $80^{\circ}C$ and for milk containing the BB/BB phenotype.

• 한국식품영양과학회지
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• 제31권3호
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• pp.438-444
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• 2002

본 연구는 저지방 세절소시지의 제조원리를 이해하기 위하여 돈육의 후지로 부터 염용성 단백질을 추출하여 친수성 콜로이드와 상호결합의 최적조건을 설정하고 이를 저지방 육제품 제조기술에 응용하기 위하여 실시하였다. 모델 연구에서 사용된 요인 중에서 추출한 염용성 단백질과 친수성 콜로이드 혼합물의 pH에 따른 가열 겔의 특성을 조사한 결과, pH가 6.0이상이 되었을 때 탄력성이 있는 가열 겔을 생성할 수 있었고 친수성 콜로이드의 첨가량이 증가함에 따라 겔 강도가 증진되었다. pH가 높아짐에 따라 염용성 단백질과 친수성콜로이드와의 반응에 의한 가열 겔의 강도가 증진되어 pH 6.5에서는 친수성 콜로이드 첨가량이 증가할수록 겔 강도가 높았다. 친수성 콜로이드 중에서 kappa-CN이 겔 생성능력이 현저히 높은 반면 KF와 LBG은 겔 생성능력이 상대적으로 낮았다. 친수성 콜로이드의 첨가량에 따른 가열 겔의 강도는 pH에 상관없이 첨가량이 증가할수록 증가하였으나 pH가 6.0인 경우 1.0% 이상 첨가할 경우 유의차를 보이지 않았다. 가열온도에 따른 겔 특성은 pH와 상관관계가 있어서 pH가 6.0일 경우 가열온도의 증가에 따라 겔 강도의 차이를 보이지 않았으나, pH가 5.5 혹은 6.5일 경우 가열온도가 높아짐에 따라 겔 강도가 높은 경향이었다.

• 한국식품영양과학회지
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• 제31권4호
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• pp.629-635
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• 2002

본 연구는 유화형 소시지와 유사한 물성을 갖는 저지방 소시지를 제조하기 위하여 실시하였다. 이전의 모델연구결과를 통해 얻은 최적조건을 저지방 육제품 제조에 적용하였으며 제조한 저지방 소시지의 pH는 6.29~6.34, 수분 74~76%, 지방<3% 및 단백질 15~18%인 반면, 유화형 소시지는 pH 6.51, 수분 56%, 지방 26.9% 및 단백질은 13.2%이었다. 친수성 콜로이드를 단독으로 첨가한 저지방 처리구는 무침가구와 비교할 때 가열수율, 보수력 및 색도에 영 향을 미치지 않았으나, CN을 첨가한 처리구의 보수력은 유화형 대조구와 KF 및 LBG를 각각 단독으로 첨가한 처리구에 비하여 오히려 낮았다. 물성특성에서는 저지 방 대조구와 CN을 첨가한 저지방 처리구가 유화형대조구보다 탄력성 및 응집성이 높았고, KF와 LBG를 각각 첨가한 처리구는 부서짐성과 경도 및 탄력성이 낮았다. KF, CN 및 LBG의 2종 내지 3종을 복합으로 첨가하여 저지방 소시지를 제조하였을 때 유화형 대조구에 비하여는 보수력은 떨어졌으나, KF와 LBG(KLL) 및 KF와 CN과 LBG(KCL)를 복합으로 첨가한 처리구는 단독 첨가구에 비하여 보수력이 증진되었다. 물성적인 특성에 있어서는KF와 LBG를 혼합하여 첨가한 처리구를 제외하고 다른 혼합 첨가구는 유화형 대조구와 비교적 유사한 물성적인 성상을 가졌으며 그 중 KF와 CN의 복합처리구가 유화형 대조구와 가장 유사한 물성을 가졌다. 이상의 결과에서 볼 때 기존의 유화형 대조구와 유사한 물성을 갖는 저지방 소시지를 개발하기 위하여 친수성 콜로이드의 단일첨가보다는 보수력이 좋은 KF 혹은 LBG등과 경도를 높여 주는 CN과의 복합지방대체제의 첨가가 더욱 효율적임을 알 수 있었다.

• 농촌계획
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• 제21권2호
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• pp.33-49
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• 2015

The objective of this study was to predict land use change based on the land use change scenarios for the Hwangguji river watershed, South Korea. The land use change scenario was derived from the representative concentration pathways (RCP) 4.5 and 8.5 scenarios. The CLUE (conversion of land use and its effects) model was used to simulate the land use change. The CLUE is the modeling framework to simulate land use change considering empirically quantified relations between land use types and socioeconomic and biophysical driving factors through dynamical modeling. The Hwangguji river watershed, South Korea was selected as study area. Future land use changes in 2040, 2070, and 2100 were analyzed relative to baseline (2010) under the RCP4.5 and 8.5 scenarios. Binary logistic regressions were carried out to identify the relation between land uses and its driving factors. CN (Curve number) and impervious area based on the RCP4.5 and 8.5 scenarios were calculated and analyzed using the results of future land use changes. The land use change simulation of the RCP4.5 scenario resulted that the area of urban was forecast to increase by 12% and the area of forest was estimated to decrease by 16% between 2010 and 2100. The land use change simulation of the RCP8.5 scenario resulted that the area of urban was forecast to increase by 16% and the area of forest was estimated to decrease by 18% between 2010 and 2100. The values of Kappa and multiple resolution procedure were calculated as 0.61 and 74.03%. CN (III) and impervious area were increased by 0-1 and 0-8% from 2010 to 2100, respectively. The study findings may provide a useful tool for estimating the future land use change, which is an important factor for the future extreme flood.