With the development of herbivorous animal husbandry,whole corn silage is favored by farmers for its high nutritional value and low production cost. Although the silage technology has been more mature after years of demonstration and application,in actual production,in order to obtain superior silage quality and the best feeding effect,the whole plant silage corn is faced with higher requirements in variety selection,harvest and storage. In order to comprehensively grasp the production,manufacture and quality of whole corn silage,this study conducted field investigation and sampling detection on the whole plant silage corn collection and storage in Hanting District,Weifang City in 2023,in order to obtain scientific data and analysis,and provide references for effectively improving the quality of whole corn silage and promoting the development of herbivorous animal husbandry.

This study, against the backdrop of the dairy industry development in China's western region, selected Tianrun Dairy as an example to analyze its growth path and strategic measures under the geographical advantages, policy support, and increasing market demand, focusing on the discussion of the experience in brand building, quality, technological innovation, and market expansion. The case analysis method was adopted to sort out the development model of Tianrun Dairy, and summarized its successful experience combining enterprise data, industry reports, and policy documents. The western region, with its natural advantages and policy support, had welcomed the development opportunity of the dairy industry. Tianrun Dairy has achieved rapid development through brand building, strict quality management, technological innovation, and market expansion. The research believed that brand and quality were the key enterprises to establish a foothold in the market, and technology and market expansion were the driving forces for sustainable development.

[Objective] To verify whether the Sandwich ELISA technique can become an accurate detection method for the content of Bovin lactoferrin in various dairy products,including flavored fermented milk.[Method] Using optimized sandwich ELISA detection reagent to detect the content of Bovin lactoferrin in standard solutions,pasteurized milk samples,spiked pasteurized milk samples,12 common flavored fermented milks in the Beijing market,7 spiked flavored fermented milks,and 7 flavored fermented milks mixed with pasteurized milk,calculating the recovery rate and CV value. Using this detection reagent to test the sensitivity of milk lactoferrin to 72 ℃ heat treatment in 3 spiked flavored fermented milks;and comparing the detection of raw milk and pasteurized milk with the national standard detection method for milk lactoferrin.[Result] The detection reagent can detect milk lactoferrin in standard solutions and pasteurized milk samples,with a recovery rate 91.7%~106.4%.It was found that the content of milk lactoferrin in 12 flavored fermented milks was none;the recovery rate of 7 spiked flavored fermented milks was between 86.3%~109.1%,and the CV values were all far below 12%;the ratio of milk lactoferrin content in 7 flavored fermented milks mixed with pasteurized milk compared to the control group was between 92.3%~110.5%,and most CV values were far below 12%;the content of milk lactoferrin in 3 spiked flavored fermented milks decreased with the extension of heat time at 72 ℃,and the decline curves were similar. Through comparative analysis with the national standard method,the compliance rates of milk lactoferrin content detected by the ELISA method in raw milk and pasteurized milk were 97.54% and 111.2%，respectively，indicating that the accuracy of this detection method meets national standards.[Conclusion] The optimized sandwich ELISA detection reagent can accurately determine the content of milk lactoferrin in flavored fermented milk.

[Objective] This study aims to investigate the effect of adding different doses of yeast selenium to the diet on the selenium in yak milk. [Method] Twenty-four mid-lactating yak cows with similar parities and calving times were used as experimental subjects and divided into four groups, each with six cows, with one repetition per cow. The groups included a blank group （grazing only）, a control group （gra 0.5 kg corn meal）, a low-selenium group, and a high-selenium group （grazing 0.5 kg meal, supplemented with 1 mg/kg and 2 mg/kg yeast selenium, respectively）. The experiment lasted for 70 days, with first 10 days as the preliminary period and the following 60 days as the formal period. Yak weights were collected before and after the experiment; 5 mL of milk components were collected before morning feeding and stored at -20℃, and milk production was recorded. [Result] After feeding yeast selenium the high-selenium group showed a significant decrease in weight compared to the blank group, while the control group and the low-selenium group showed a significant increase weight. In terms of yak milk production, an overall downward trend was observed; the low-selenium group had a significantly lower milk production on the first day to the other three groups,while there was no significant difference in milk production at other times. Regarding the selenium content in milk, the selenium content in the of the experimental groups was significantly higher than that of the control group, with the high-selenium group being significantly higher than the other three groups from the 2th to the 40th day. [Conclusion] Adding 2 mg/kg yeast selenium to the diet results in a decrease in a decrease in yak weight but has significant effect on milk production. Additionally， the selenium content in milk is significantly increased. Therefore， adding 2 mg/kg is an optimal solution， but further experiments are needed to determine its optimal addition method.

This paper took Feihe,a well-known infant formula milk powder enterprise in China,as a case study and employed SWOT analysis to explore the internal strengths and weaknesses,as well as external opportunities and threats of Feihe’s infant formula milk powder. The study found that Feihe had significant advantages in product quality,technological achievements,and R & D innovation,but also faced disadvantages such as consumer confidence affected by historical events and a single product structure. In response to the current situation,this paper proposed a series of innovative marketing strategies,including enhancing product quality,implementing multi-channel and digital marketing strategies,building and strengthening brand image,and improving consumer experience. By implementing these strategies,it was expected that Feihe can consolidate its leading position in the fiercely competitive infant formula milk powder market and make a positive contribution to the overall development of China’s infant formula milk powder industry.

Dairy products are rich in nutrients suitable for microbial growth and are susceptible to microbial contamination. Microbial contamination,especially fungal and yeast contamination,is a major problem in dairy production. While the implementation of optimal sterilisation methods is essential,the management of the operating environment cannot be ignored. The environment of dairy workshops is an important factor in ensuring food quality,and it is very important to ensure that the spatial parameters remain stable in food processing. However,in daily operation,due to the interaction of many factors such as large volume,compact equipment layout and complex workflow,the environmental parameters set by the space air conditioning unit are not always consistent with the actual value of each location,so the spatial data of the workshop is always in a dynamic balance state. Therefore,how to effectively reduce the abnormal fluctuations of space temperature and humidity,pressure difference,air volume,acidity and alkalinity,as well as how to implement more refined control measures,is a major challenge for space environment management. In this study, a data acquisition system was introduced to achieve precise control of the workshop environment, in order to control the growth of fungal and yeast to the greatest extent and ensure product quality.

[Objective] To study the effects of probiotic fermented feed on intestinal flora and performance of dairy cows with eugastritis.[Method] 160 dairy cows with similar age and symptoms in a large-scale dairy farm in Zhangqiu District,Jinan City,Shandong Province were selected as the research objects and divided into 4 groups（n=40） by random number table method. They were divided into control group（basic diet）,experimental group I（basic diet+2% probiotics）,experimental group II（basic diet+4% probiotics）,experimental group III（basic diet+6% probiotics）,and 5 replicates were set in each group,with 8 cows in each replicate. The experiment lasted for 42 d. The intestinal flora and performance indexes of eupgastritis cows in each group were analyzed.[Result] The indexes of Escherichia coli and Salmonella in test groups I, II and III were lower than those in control group （P < 0.05）, and those in test group II were the lowest. The lactobacillus index of test groups I, II and III was higher than that of control group, and the highest was in test group II. The average daily feed intake and average daily milk yield of test groups I, II and III were significantly higher than those of control group （P< 0.05）, and the highest values were found in test group II. The ratio of feed to milk in test groups I, II and III was significantly lower than that in control group （P< 0.05）, and the lowest was in test group II. [Conclusion] Adding probiotic fermented feed to the basic diet of eupgastritis dairy cows can significantly improve the growth performance and change the intestinal flora structure of dairy cows,and 4% supplemental dose was the best.

The most common method for detecting the content of sorbic acid and benzoic acid in dairy products is the first method of high performance chromatography in GB 5009.28—2016 National Food Safety Standard for the Determination of Benzoic Acid, Sorbic Acid and Sodium Sacchar in Foods. When using high performance liquid chromatography for analysis, the pH value of the mobile phase has a great influence on the test results, especially on the retention and stability. Within a certain range, the smaller the pH value, the later the retention time, the more stable, and the smaller the peak offset, the larger pH value, the faster the retention time, the more unstable, and the larger the peak offset. The offset of the target peak has a significant impact on the qualitative quantitative determination of the results, so it is essential to obtain stable retention time and good peak shape for the experimental test results. This paper took the pH value in the phase as a variable, explored the influence law of the retention time and stability when its pH value was 7.0, 6.5, 6., 5.8, 5.5, 5.0, and found out the most suitable pH value of the mobile phase in the current laboratory environment to the detection quality.

[Objective] To screen the best anthelmintic drugs for digestive tract parasites in dairy cows. [Method] Three dairy farms and six dairy farming cooperatives were selected as pilot sites.A comparative trial was conducted on the epidemiological status of digestive tract parasitic diseases and the efficacy of common anthelmintic drugs in 706 dairy cows. [Result] Various degrees of infection were observed with parasites such as Toxocara vitulorum,Moniezia tapeworms,Fasciola hepatica,Paramphistomum,and coccidia. [Conclusion] Among the commonly used anthelmintic drugs in the region,the combination of Ivermectin injection and Toltrazuril suspension showed higher egg reduction rates and negative conversion rates in fecal examinations compared to Albendazole tablets,Levamisole Hydrochloride tablets,and Sulfadimidine tablets.The combination of Ivermectin and Toltrazuril is the optimal choice for eliminating nematodes,trematodes,cestodes,and coccidia in the digestive tract of dairy cows.

[Objective] An auxiliary tool for MilkoScan FT1 was developed based on Chinese programming software-Easy Programming Language. [Method] By traversing the detection data in the dairy analyzer,the software extracted the target data and participated in the compliance determination of the standard sample. The batch and the reference values of standard samples were put into the software interface of dairy analyzer by means of process control commands and the text delivery method. Automatic cycle cleaning of dairy analyzer was realized by using API to operate instrument menu and simulating mouse operation. [Result] The software successfully implemented the functions of analyzing dairy analyzer detection data, delivering target data, and automatic cleaning. [Conclusion] By developing an auxiliary tool,optimized the problem of data analysis in the process of dairy detection,improved the automation level of dairy analyzer operation,and achieved stronger man-machine collaboration.