牦牛乳蛋白多态性对奶酪凝乳特性的影响

为了检测青海部分地区7家不同牧场牦牛乳κ-酪蛋白和α_s1-酪蛋白基因多态性,作者分析了基因多态性对奶酪凝乳特性的影响。通过提取牦牛乳体细胞,采用限制性片段长度多态性聚合酶链式反应（polymerase chain reaction-restrition fragment length polymophism, PCR-RFLP）分析技术,对提取的DNA进行PCR扩增及酶切,对电泳条带进行基因分型;提取牦牛乳蛋白,采用高效液相色谱法（high performance liquid chromatography, HPLC）分析各样品与标准品色谱图,对出峰时间和出峰形状进行基因分型。利用流变仪测定不同基因型牦牛乳凝乳过程中流变特性,记录奶酪凝乳时间,计算奶酪得率。牦牛乳κ-酪蛋白基因有AA型、AB型和BB型3种基因型,3种基因型与凝乳特性的分析表明,在凝乳时间方面A等位基因为有利等位基因。牦牛乳α_s1-酪蛋白存在AA型、AB型和BB型3种类型,3种基因型与凝乳特性的分析表明,在凝乳时间、奶酪得率、最大动力黏度和最大剪切速率方面B等位基因为有利等位基因。以上结果表明,青海7家牧场牦牛乳κ-酪蛋白和α_s1-酪蛋白均存在基因多态性,κ-酪蛋白A等位基因和α_s1-酪蛋白B等位基因是影响牦牛乳凝乳特性的主效基因。     

热处理对鲜牛乳和复原乳蛋白多态性的影响

利用三种模拟生产加热处理,来研究鲜牛乳和复原乳蛋白多态性变化。通过调控pH和加热温度,发现鲜牛乳和复原乳中α-乳白蛋白、β-乳球蛋白、非沉淀酪蛋白和蛋白胶束的粒径大小均变化差异显著。      

乳蛋白基因多态性对加工与营养的影响

综述了乳蛋白基因多态性和检测方法以及其对乳品加工及人类营养影响的研究进展。酪蛋白的基因型较多,除了基因差异外,还有磷酸化水平与糖基化程度等其他影响因素。乳清蛋白部分,β-乳球蛋白(-βLG)的基因型较多,而α-乳白蛋白(-αLA)的基因型较少。乳蛋白基因多态性可从蛋白水平和基因水平两方面进行检测。乳蛋白基因型会显著影响乳的加工特性,包括热稳定性、凝乳性能及干酪的产率和品质。乳蛋白基因与人类营养息息相关,随着分子技术的发展,基因多态性的应用会更广,需进一步的研究来更好地描述多态性与乳品加工及营养之间的关系。     

牛乳的凝固特性及其影响因素研究进展

本文综述了近年来有关牛乳凝固特性的研究进展,重点针对影响牛乳凝固能力的遗传和非遗传因素的研究进展进行了分析论述,包括不同来源牛乳的凝固特性、乳蛋白组分和工艺条件等对牛乳凝固能力的影响。旨在厘清影响牛乳凝固能力的主要因素。     

高效液相色谱法分析中国荷斯坦奶牛乳蛋白多态性

采用高效液相色谱法检测牛乳中6种主要乳蛋白的多态性。奶样来自102头泌乳中国荷斯坦奶牛。研究发现,酪蛋白中αs2-酪蛋白存在A型和B型两种类型,β-酪蛋白存在A1,A2,B,C和F5种类型,κ-酪蛋白存在A/E型和B型两种类型,而αs1-酪蛋白仅有1种,未发现其多态性;乳清蛋白中,β-乳球蛋白存在多态性,有A,B和C3种类型,但未发现α-乳白蛋白的多态性。研究结果表明,在本试验条件下,中国荷斯坦奶牛乳中除αs1-酪蛋白和α-乳白蛋白外,αs2-酪蛋白、β-酪蛋白、κ-酪蛋白以及β-乳球蛋白均存在多态性,以β-酪蛋白类型最多。     

牛乳体细胞数与乳蛋白含量相关性的研究

对呼和浩特郊区一牧场30头荷斯坦乳牛进行6个月单个采样，共得427个有效样本，检测乳样中体细胞数、酪蛋白（包括α-酪蛋白、β-酪蛋白、κ-酪蛋白）、乳清蛋白、总蛋白、游离氨基氮、酪蛋白／总蛋白和乳清蛋白／总蛋白。结果表明，乳中总蛋白、游离氨基氮含量及乳清蛋白／总蛋白与SCC呈显著正相关；酪蛋白／总蛋白与SCC呈显著负相关；乳清蛋白含量与SCC呈极显著正相关。酪蛋白、α-酪蛋白／酪蛋白、β-酪蛋白／酪蛋白、κ-酪蛋白／酪蛋白与SCC的相关性不显著。酪蛋白含量与总蛋白含量呈极显著的正相关，与游离氨基氮含量、乳清蛋白／总蛋白呈极显著的负相关。乳清蛋白含量与游离氨基氮、总蛋白含量呈极显著正相关。     

螯合剂对羊乳凝乳特性的影响

研究了磷酸二氢钠、磷酸氢二钠、三聚磷酸钠、焦磷酸钠、柠檬酸钠、EDTA二钠六种螯合剂对羊乳凝乳的影响.结果表明:在浓度为0.1～1.0g/L范围内,随着磷酸氢二钠、三聚磷酸钠、焦磷酸钠和柠檬酸钠浓度的增大,羊乳的凝乳时间逐渐延长;随着磷酸二氢钠和EDTA二钠浓度的增大,羊乳的凝乳时间逐渐缩短.同时,磷酸氢二钠、三聚磷酸钠、焦磷酸钠和柠檬酸钠可使羊乳的pH升高,磷酸二氢钠和EDTA二钠可使羊乳的pH降低.     

不同凝乳时间对Mozzarella干酪品质的影响

凝乳切割强度影响Mozzarella干酪品质,凝乳强度一般通过与之对应的平均凝乳时间(从添加酶到切割凝乳这段时间为凝乳时间)判断。本实验凝乳时间分别设定为30、40、50min,研究凝乳时间对Mozzarella干酪品质的影响。结果表明选用产酸较慢的发酵剂,更长的凝乳时间(切割时更硬的凝乳)导致了干酪中更多的水分含量和更高的干酪产量。同时干酪也具备了更柔软,更光滑均匀的质地。     

螯合剂对羊乳凝乳特性的影响

研究了磷酸二氢钠、磷酸氢二钠、三聚磷酸钠、焦磷酸钠、柠檬酸钠、EDTA二钠六种螯合剂对羊乳凝乳的影响。结果表明:在浓度为0.1～1.0g/L范围内,随着磷酸氢二钠、三聚磷酸钠、焦磷酸钠和柠檬酸钠浓度的增大,羊乳的凝乳时间逐渐延长;随着磷酸二氢钠和EDTA二钠浓度的增大,羊乳的凝乳时间逐渐缩短。同时,磷酸氢二钠、三聚磷酸钠、焦磷酸钠和柠檬酸钠可使羊乳的pH升高,磷酸二氢钠和EDTA二钠可使羊乳的pH降低。      

乳蛋白对豆乳凝胶物性学特征的影响机理

为改善豆乳酸奶制品,分别从体系层面、颗粒层面和分子层面研究不同类型的乳蛋白——乳清分离蛋白（whey protein isolate,WPI）、乳浓缩蛋白（milk protein concentrate,MPC）和酪蛋白酸钠（sodium caseinate,NaCas）对豆乳凝胶特性的影响及机理。结果表明：WPI（≥20%）、40% NaCas的加入可以有效增强豆乳凝胶强度,其中WPI（≥20%）的作用最为显著。低替代比例的乳蛋白可以显著减小凝胶颗粒的粒径,而高比例的WPI会大幅度增大体系的凝胶颗粒。在微观结构方面,MPC的添加使得凝胶结构更为致密规则,NaCas的添加形成了细丝网状结构,而WPI的添加使得凝胶结构趋于不规则、致密。聚丙烯酰胺凝胶电泳及其光密度扫描结果显示,添加WPI（≤20%）可能会促进大豆7S蛋白的β亚基参与凝胶,而NaCas则会阻碍大豆11S蛋白碱性亚基的凝胶化。     

The occurrence of noncoagulating milk and the association of bovine milk coagulation properties with genetic variants of the caseins in 3 Scandinavian dairy breeds

Substantial variation in milk coagulation properties has been observed among dairy cows. Consequently, raw milk from individual cows and breeds exhibits distinct coagulation capacities that potentially affect the technological properties and milk processing into cheese. This variation is largely influenced by protein composition, which is in turn affected by underlying genetic polymorphisms in the major milk proteins. In this study, we conducted a large screening on 3 major Scandinavian breeds to resolve the variation in milk coagulation traits and the frequency of milk with impaired coagulation properties (noncoagulation). In total, individual coagulation properties were measured on morning milk collected from 1,299 Danish Holstein (DH), Danish Jersey (DJ), and Swedish Red (SR) cows. The 3 breeds demonstrated notable interbreed differences in coagulation properties, with DJ cows exhibiting superior coagulation compared with the other 2 breeds. In addition, milk samples from 2% of DH and 16% of SR cows were classified as noncoagulating. Furthermore, the cows were genotyped for major genetic variants in the α_S1- (CSN1S1), β- (CSN2), and κ-casein (CSN3) genes, revealing distinct differences in variant frequencies among breeds. Allele I of CSN2, which had not formerly been screened in such a high number of cows in these Scandinavian breeds, showed a frequency around 7% in DH and DJ, but was not detected in SR. Genetic polymorphisms were significantly associated with curd firming rate and rennet coagulation time. Thus, CSN1S1 C, CSN2 B, and CSN3 B positively affected milk coagulation, whereas CSN2 A², in particular, had a negative effect. In addition to the influence of individual casein genes, the effects of CSN1S1-CSN2-CSN3 composite genotypes were also examined, and revealed strong associations in all breeds, which more or less reflected the single gene results. Overall, milk coagulation is under the influence of additive genetic variation. Optimal milk for future cheese production can be ensured by monitoring the frequency of unfavorable variants and thus preventing an increase in the number of cows producing milk with impaired coagulation. Selective breeding for variants associated with superior milk coagulation can potentially increase raw milk quality and cheese yield in all 3 Scandinavian breeds.     

Milk coagulation ability of five dairy cattle breeds

Samples of herd milk (506) were analyzed to assess sources of variation for milk coagulation properties (MCP) for 5 different dairy cattle breeds. Data were recorded in 55 single-breed dairy herds in the Trento province, a mountain area in northeast Italy. The 5 cattle breeds were Holstein-Friesian (8 herds), Brown Swiss (16 herds), Simmental (10 herds), Rendena (13 herds), and Alpine Gray (8 herds). Herd milk samples were analyzed for the MCP traits, milk rennet coagulation time (RCT), curd-firming time, and curd firmness (a₃₀), as well as protein and fat percentages, somatic cell count, Soxhlet-Henkel acidity, and bacterial count. An ANOVA was performed to study the effect of breed, herd within breed, DIM, month of lactation, protein and fat percentages, somatic cell score, titratable acidity, and log bacterial count within breed on MCP. Breed was the most important source of variation. In particular, the Rendena breed showed the best MCP traits at 13.5 min and 27.0 mm for RCT and a₃₀, respectively. The Holstein-Friesian breed had the worst coagulation properties at 18.0 min and 17.5 mm for RCT and a₃₀, respectively. The other 3 breeds showed intermediate coagulation properties. The RCT values were better at the beginning of lactation, whereas RCT and a₃₀ values were better in September and October (14.3 min and 25.7 mm, respectively). Among the composition traits, only the titratable acidity affected MCP traits of herd milk positively.     

Noncoagulation of milk in Finnish Ayrshire and Holstein-Friesian cows and effect of herds on milk coagulation ability

The objectives of this study were to compare milk coagulation ability (MCA) and the prevalence of noncoagulation of milk within the main Finnish dairy breeds, Finnish Ayrshire (FA) and Holstein-Friesian (HOL), as well as to study the herd effect on MCA. Data used in the statistical analyses consisted of individual milk samples of 959 FA, 399 HOL, and 50 crossbred cows from 84 herds. Data were collected before the grazing season in the spring 1999. Milk samples were analyzed for the milk coagulation traits (milk renneting time, R and curd firmness, E(30)) and pH. In addition, information on the 305-d milk production traits from the year 1999, and background information about feeding and management regimes of the herds were obtained. Variance components for the random herd and animal effects were estimated using REML methodology and an animal model. Breed, parity, lactation stage (for R, E(30) and pH only), and a measuring unit (for R and E(30) only) were included as fixed effects in the model. When the effects of concentrate feeding frequency and type of concentrate were studied, the random effect of herd was excluded from the model. A relationship matrix included parents, grandparents, and great grandparents of the cows with observations. The HOL cows were superior to FA cows in MCA when both the proportion of poorly coagulating (PC) and noncoagulating (NC) milk, and the differences in curd firmness were considered. About 30% of the FA cows and 12% of the HOL cows produced PC milk. Only 1.3% of the HOL cows and 8.6% of the FA cows produced NC milk. Herd effect explained only a minor part of the variation in MCA (8%) compared with that in 305-d milk production traits (about 43%). Frequent feeding of the concentrate was associated with good MCA as well as for the high milk, protein and fat yields, but it was not associated with the prevalence of the NC milk.     

Effect of polymorphisms in the leptin, leptin receptor, and acyl-coenzyme A:diacylglycerol acyltransferase 1 (DGAT1) genes and genetic polymorphism of milk proteins on cheese characteristics

Cheese production has increased worldwide during the last decade and is expected to increase within the coming decade as well. Despite this, the relations between cow genetics and cheese characteristics are not fully known. The aim of this study was to determine if polymorphisms in the leptin (LEP), leptin receptor (LEPR), and acyl-coenzyme A:diacylglycerol acyltransferase 1 (DGAT1) genes as well as genetic variants of β-casein (β-CN), κ-CN, and β-lactoglobulin (β-LG) affect technological properties important for cheese production and, hence, could act as genetic makers for cheese quality. Individual milk samples from the Swedish Red and the Swedish Holstein breeds were analyzed for sizes of CN micelles and fat globules as well as rennet-induced gel strength, gelation time, and yield stress. Model cheeses were produced to study yield, hardness, and pH of the cheeses. The A1457G, A252T, A59V, and C963T single nucleotide polymorphisms (SNP) were analyzed on the LEP gene, the T945M SNP on the LEPR gene, and the Nt984+8(A-G) SNP on the DGAT1 gene. In addition, genetic variants of β-CN, κ-CN, and β-LG were determined. The results indicate that technological properties were influenced by the LEPR_T945M polymorphism, which had an association with gel strength, yield stress, and cheese hardness (T > C). However, also LEP_A252T was shown to affect gel strength (T > A), whereas the LEP_A59V had an effect on fat globule size (T > C). For the milk protein genes, favorable effects were found for the A and B variants of β-LG and κ-CN, respectively, on gel strength, gelation time, and yield stress. In addition, the B variant of κ-CN was shown to be associated with smaller CN micelles than the A variant. Thus, the results demonstrate potential genetic markers for cheese characteristics. However, milk composition traits also affected the obtained results, thus making it necessary to thoroughly assess the different aspects regarding the influence of gene effects on cheese characteristics before directly selecting for certain alleles or genetic variants to improve the processing and quality of cheese.     

Genetic analysis of detailed milk protein composition and coagulation properties in Simmental cattle

The objective of this study was to estimate genetic parameters for milk protein fraction contents, milk protein composition, and milk coagulation properties (MCP). Contents of α_S1-, α_S2-, β-, γ-, and κ-casein (CN), β-lactoglobulin (β-LG), and α-lactalbumin (α-LA) were measured by reversed-phase HPLC in individual milk samples of 2,167 Simmental cows. Milk protein composition was measured as percentage of each CN fraction in CN (α_S1-CN%, α_S2-CN%, β-CN%, γ-CN%, and κ-CN%) and as percentage of β-LG in whey protein (β-LG%). Rennet clotting time (RCT) and curd firmness (a₃₀) were measured by a computerized renneting meter. Heritabilities for contents of milk proteins ranged from 0.11 (α-LA) to 0.52 (κ-CN). Heritabilities for α_S1-CN%, κ-CN%, and β-CN% were similar and ranged from 0.63 to 0.69, whereas heritability of α_S2-CN%, γ-CN%, and β-LG% were 0.28, 0.18, and 0.34, respectively. Effects of CSN2-CSN3 haplotype and BLG genotype accounted for more than 80% of the genetic variance of α_S1-CN%, β-CN%, and κ-CN% and 50% of the genetic variance of β-LG%. The genetic correlations among the contents of CN fractions and between CN and whey protein fractions contents were generally low. When the data were adjusted for milk protein gene effects, the magnitude of the genetic correlations among the contents of milk protein fractions markedly increased, indicating that they undergo a common regulation. The proportion of β-CN in CN correlated negatively with κ-CN% (r = −0.44). The genetic relationships between CN and whey protein composition were trivial. Low milk pH correlated with favorable MCP. Genetically, contents and proportions of α_S1- and α_S2-CN in CN were positively correlated with RCT. The relative proportion of β-CN in CN exhibited a genetic correlation with RCT of −0.26. Both the content and the relative proportion of κ-CN in CN did not correlate with RCT. Weak curds were genetically associated with increased proportions in CN of α_S1- and α_S2-CN, decreased contents of β-CN and κ-CN, and decreased proportion of κ-CN in CN. Negligible effects on the estimated correlations between a₃₀ and κ-CN contents or proportion in CN were observed when the model accounted for milk protein gene effects. Increasing β-CN and κ-CN contents and relative proportions in CN and decreasing the content and proportions of α_S1-CN and α_S2-CN and milk pH through selective breeding exert favorable effects on MCP.     

Composition, coagulation properties, and cheesemaking potential of milk from cows undergoing extended lactations in a pasture-based dairying system

Extending the lactation length of dairy cows beyond the traditional 10 mo toward lactations of up to 22 mo has attracted interest in the pasture-based seasonal dairying systems of Australia and New Zealand as a way of alleviating the need for cows to conceive during peak lactation, such as is required to maintain seasonally concentrated calving systems. Lactation lengths longer than 10 mo instead provide cows with more time to cycle and conceive after parturition and may therefore be more suitable systems for high-producing Holstein-Friesian cows. Before recommending such systems there is a need to evaluate the effects of long lactations on the suitability of milk for manufacture of high-quality dairy products. In the current experiment, the composition of milk from cows entering the second half of a 22-mo lactation was examined in detail and compared with that from cows undergoing a traditional 10-mo lactation. On 2 occasions, coagulation properties were measured using low amplitude strain oscillation rheometry, and Cheddar cheese was made in 250-L pilot-scale vats. Results showed that milk from extended lactations had higher concentrations of fat and protein than cows undergoing 10-mo lactations under similar management conditions and at the same time of year. The ratio of casein to true protein was not affected by lactation length and neither were the proportions of individual caseins. The increase in milk solids during extended lactations translated into a more rapid rate of coagulation and ultimately a firmer curd on one of the two occasions. Milk from extended lactations yielded more cheese per 100 kg of milk, and there were few differences in the composition or organoleptic properties of the cheese. These data are the first to show that pasture-based dairy industries could embrace the use of extended lactations without compromising the core business of producing high-quality dairy products.