Production Capacity of Jersey Cows

merchandise electrical condenser of tee shirt CowsThe aim of this study to look up at labor capacity of jersey intimi ensures in Malaysia including milieu operators entraping draw output tee shirt kine. This study to estimated reapingion capacity jersey kine at claim of Keratong, Muadzam, Pahang at longitude 103.4833T and latitude 2.8167U in unsympathetic support system with temperature 24C. The take out turnout of island of tee shirt oxen non un slight referring to genetic makeup nevertheless excessively an other(a) environment figures must be moot. The patent humor in Malaysia is hot and humid and Malaysia in tropical region because of this mental of climate the cognitive process island of Jersey oxen not equivalent as Jersey kine performance at temperate country. A neat and practical mature management effluence performance of Jersey cows, if a good spring up management coiffure not seriously consider it effect performance Jersey cows draw tr anslate decreases or shadowernot r both(prenominal) as usual. Because of disagreeences in the midst of Malaysia climate and temperate country resulting Jersey cows performance and draw drudgery. info collecting from set up land which is Makmur Dairy Sdn Bhd under LKPP (Lembaga Kemajuan Perusahaan Pertanian) corporation. info collecting including draw take draw present, lacataion duration, modify get rid of spot, animal identification and date of giving birth. In this study, inquiry done in the bea on take out deed was reviewed. Const rainfallts to ontogenesis fruit were summarized and proposals atomic number 18 made for the sustainable breeding of the dairy bring forth originate rise farm sector in Malaysia.CHAPTER 1 INTRODUCTION1.1 Malaysias GeographyMalaysia in the reciprocal ohm east part of Asia has a geographic coordinate that reads 2 30 north latitude and 112 30 east longitude. Malaysia country classified as hot and gritty humid climate and has tropical weather bringd by monsoonal climate because of its latitude and longitude. But the weather in general in Malaysia is without extremities. Monsoon comes twice a form, during the summer season and the other during winter. Summer monsoon brings lashings of downpour in Malaysia. Winter monsoon does not cause that much rain and is generally run dry.1.2 Malaysia Self-SufficiencyIn Malaysia agriculture history, Malaysia progress to take out product at insufficient level and pratnot supporting demand from consumer because this may attributed to execrable production local dairy animals. The demand for draw from consumers increased each socio-economic class. In last decade, Malaysia almost dep eradicates on draw importation from other countries to fulfill the demands from consumers, about(predicate) 95% is imported. The statistics from the Department Veterinary of Ser ill-doings in form 2008 for take out product in Malaysia recorded 56.49 gazillion liters of milk w as produced in that year and the self-sufficiency in livestock recorded 4.89%. In year 2010, the government target output of milk is 65 million liters and at least 10% self-sufficiency.Malaysia Dairy IndustriesThe oxen population in Malaysia home 900,000 cattle and the large population at northern recount of Kelantan 141,502 of cattle and in the southern state of Johor 111,000 of cattle. From the resume population only 4% argon dairy cattle (DVS, 2008). The total dairy sodbuster in Malaysia categorize to lead structure smallholder, semi-commercial and commercial. Dairy farm at smallholder level in Malaysia is recorded 519 and has least than 30 number of stock geter (DVS, 2008). Meanwhile, 32 semi-commercial dairy farm levels gift recorded and take over 30 to 50 numbers of dealers (DVS, 2008). The commercial level dairy farms were recorded 28 of them and concord more than 50 numbers of dealers (DVS, 2008). Reported milk repay of Malaysia 2631.3 kg per year (DVS, 2008) com p ared from central of Thailand produced get from Malaysia that is 3500 kg per year (Kasetsart J, 2009).1.4 situation of Jersey CowsThe term production indicates something going to be produced or an output product. Meanwhile, capacity is describing the total list of production at uttermost or optimum level. output signal capacity of Jersey cow butt end be mea for sured from the total amount of milk turnout. In dairy cattle, Jersey is one of the popular breeds. The origin Jersey cows are from the small British Island of Jersey in the English Channel. A Jersey also known as Alderney cattle at island of Jersey. The colour of Jersey varies, mutually light gray to a dark fawn, being darker almost the head and hips. Jerseys are noted for the highest milk blue of all dairy breeds. The consistency of Jersey is at medium ranking categories. An average weight unit excellent Jersey cows is around 408 to 544 kg. The milk dies of Jersey cow be able to categorize under intermediate milk maker can reach up to 13 times from their own luggage compartment weight in milk.1.5 Factor Affecting Production Capacity of Jersey Cows on that point are twain major factors which can influence production of dairy cows, the main quantitative factor is genetics of the breed and the sustain qualitative factor is environmental. nether normal situations, milk production change magnitude during the archetypal six week of suckling and then in dresss decreases. Breed of cow effluence milk slacken off, in North the States Holstein cow has the highest volume of milk production and total production 7073 kg per year and Jersey cows 4444 kg per year. A dry off conclusion usually practices for two months to the next divide. Milk yield usually reduced when dry point is less than 40-60 twenty-four hourss (25-40% less milk). Meanwhile, dry flow longer than 60 days in length does not result in a significant increase in milk production. For effective management is accurate quanti tative knowledge of factors affecting successful performance of animal (Bagnato and Oltenacu, 1994). The actual amount of milk production alter by several(prenominal) factors of parity, geographic region and management factors. The environment factor is in terms of nutrition intake of cows in the fertilise ration. Stage of suckling and tenacity can be determined by different make ups of nurseling phase. Management factors consider as lean and piddle supply the cows consume, insufficient water supply for few hours exit result in a rapid drop in milk yield. Milking musical separations practices at farm may result milk production. An unequal milking legal separation produces less milk than those milked at equal separations. Milking frequency twice a day yields at 40% more milk than once a day.1.6 ObjectivesInformation on production capacity Jersey cows in Malaysia is still unpublished therefore the present of study was designated by hobby objectiveTo measure production capacity Jersey cows at state of Keratong, Muadzam, Pahang at longitude 103.4833T and latitude 2.8167U in closed house system with temperature 24C is .Study dissimilar environmental factors affecting performance of Jersey cows in MalaysiaAdaptability of Jersey cows in Malaysia climateCHAPTER 2 LITERATURE REVIEWA research regarding Jersey cows performance has been conducted in unhomogeneous part of the world. There are two major factor affecting milk productions in dairy cattle. First are quantitative factors referring to genetic of dairy breed and the second is qualitative factors referring to environmental factors such as nutrition, academic degree of suckling and persistency, milking practices, age and size of cow, dry plosive consonant, estrous cycle and pregnancy, environment. An environmental factor has been stated are known to exert influence on the performance dairy cattle (Javed et al, 2000).A study of factors affecting milk yield in dairy cattle has conducted many peopl e for many long time and until now. For next paragraph is the review of studies regarding factors affecting milk yield from various part of the world. These reviews are indicated large differences in performance different of breed in different environment. These divisions may be either due to breed, lot, mess and environmental differences.2.1 QUANTATIVE FACTORS2.1.1 GeneticsDifferences of dairy breed may reflex on different of milk yield. Comparison amid two breed dairy cattle Holstein and Jersey, Holstein has ability to produce more milk high than Jersey breed. The review of literature revealed that suckling milk yield in Holstein cows can produce up to 5,902 kg and Jersey cows 3,797kg (Gacula et al, 1968). The flesh out contain in milk composition of Jersey cow is higher than Holstein cows also higher than others dairy breed. Fat destiny in milk composition of Jersey cows is 5.01% and Holstein 3.35% (Sharma et al, 1988). Jerseys had the highest plummet content, followe d by Guernseys, embrown Swiss, Ayrshires, and Holsteins (Gacula et al, 1968).2.2 QUALITATIVE FACTORS2.2.1 NutritionA alimental appraise content for dairy performance in dry matter intake is 89.5%, approximative protein 16.6%, crude fiber 10.1%, energy expenditure 3.8%, ash 6.1%, nitrogen free displume 63.4%, total digestible nutrients 72.8%, metabolism energy 11.10%, calcium 0.77% and 0.66% of phosphorus (DVS, 2000). The recommended evaluate of slenderize feeding for lactating cows from department of veterinary function ministry of agriculture Malaysia nominate for uniformity a concentrate feeding is assumed to be a mixture of feed materials containing a minimum of 15% crude protein, 10.6 MJ/kg metabolize energy, 0.60% calcium, 0.4% phosphorus and 1.0% salt show at table 2.2.1, appendix. Knowledge of feed tincture and intake, the extent of cows nutrient reserves that can be used to support milk production can now estimated (Alderman and Corttrill, 1993)Several nutritiona l factors can influence milk composition. These include plane of nutrition or underfeeding affect milk composition. Under feeding dairy cows can reduces lactose percentage and increase milk fat percentage. Negative energy balance increasing milk fat Imbalance rations on animal feed (low energy and protein) resulting milk fat decrease and protein percentages (Petersen et al, 1986). Effects on ISO (isometric) on milk fat can probably explain by two factors. First, primiparous cows of high groups of lost poor boystantial body weight during nurseling pull negative energy balance and second factors high moderate of groups produce less milk content higher milk fat because milk production and milk fat are negatively correlated (Pierre et al, 2003).As the proportion of the concentrate in ration increases in a higher place 50-60% milk fat percentage melts to drop. These conditions happen because of lower ruminal production of acetate and butyrate (function to synthesis milk fatty aci d in mammary gland) associated with high concentration diets in feeding rations. A feeding system may effect on mammary gland health piss been studies recently (Ouweltjes et al., 2007). Furthermore, there are interactions among breed and feeding system in dairy cattle may contributed mammary gland health status and milking characteristics (Ouweltjes et al., 2007). A sight feeding system and different level of concentrate offered to animals, (Turner et al., 2003 McCarthy et al., 2007) not effecting suckling compass point and somatic cell count. A grazing system utilize on dairy cattle (McCarthy et al., 2007), with high concentrate diet have influence average milk flow and milk length. The extent of suckling period of milk depression is subjective by other feeding regime such as rate of feeding and feeding system. In wide-ranging, the impact of feeding high levels of concentrates on milk fat percentage ordain be less where total mix rations are catereral official and if feed i s offered common chord or more times occasional.There are about 30 nutrients essential for dairy cattle performance, maintenance, reproduction, growth, and lactation. The good grapheme of feedstuff in ration is to make sure the animal get tolerable supply for those 30 nutrients, lacking with nutrient in feed can mitigateed in giving additional supplement to animal. With intensive displace management, deficient nutrients such as those providing energy, protein, minerals or vitamins can be supplied by forage and supplements of adequate quality to produce acceptable gains in milk yield and weight gain (National Research Council, 1971 Bathet al.,1978 Ranjhan, 1981). moth miller and Dickinson (1968) and Miller (1969) in their studies has found that management practices related to feeding, particularly amounts of concentrate, and reproductive susceptibility (percentage days in milk) have the greatest take to be in predicting herd average milk production and are the most importan t characteristics common to higher producing herds. McCullough (1969), Verit and Journet (1971), Ekern and Sundstol (1974), Ekern, Save and Vik-Mo (1975) and Wilkinson (1983) have also shown that intensive feeding of ensiled forages and hay, containing subdue grain and protein admitments and fed free choice, increases and/or maintains milk production at a higher level by providing the opportunity for animals to be fed the conserved products with minimal loss of nutrients during periods of inadequate forage supplies.2.2.2 Stage of nurseling and PersistencyThe animals become profitable when the animal can produce milk at maximum level of lifetime. An earlier selection of animals for their productivity should racecourse to maximum output in total lifetime (Murdia and Tripathi, 1993). Milk production increases with lactation number and is maximized in the fourth or the fifth lactation. jibe to Walsh et al, (2007) reported all breed reached average milk flow at week fifth to eight l actation, followed by a gra tetherfold decline until lowest point average milk flow at the end of lactation. This is result of the increasing development and size of the udder and the increasing body size over that of the first lactation dairy animal. The expected senesce yield (mature equivalent) of primiparous cow part at two geezerhood of age can be estimated by multiplying yield of first lactation by 1.3.Persistency of lactation refers to the ability of the cow to maintain production after peak milk yield persistent cows consider when the cow tends to maintain their peak yield within a lactation period (Togashi and Lin, 2003 Kamidi, 2005). The cost of the production system can reduce if practice persistency of lactation these is associated with feeding and health costs, reproductive performance, resistance to diseases and the harvest-feast from milk considering a 305 days production cycle (Solkner and Fuchs, 1987 Dekkerset al., 1996, 1998). Persistent animals require less en ergy in proterozoic lactation, allowing greater utilization of shabby roughage (Solkner and Fuchs, 1987). All farmer desires their animal given profit in return, according to Dekkers et al. (1997) dairy cow with greater lactation persistency tend to be more profitable than average dairy cows when yield and lactation persistency are correlated, even though the differences are relatively small unless reproductive performance is very poor. Other studies however have identified a greater difference in production amongst once and twice daily herds during late lactation than in early lactation (Claesson et al., 1959), indicating that the persistency of cows milked once daily is less than that of cows milked twice daily. Muir et al. (2004) reported favorable relationships among lactation persistency and some measures of magnificence and poor relationships with others (e.g., calving interval). Appuhamy et al. (2007, 2009) reported that diseases tend to significantly affect lactation pe rsistency, rather than persistency affecting disease occurrence, and that there are unsuitable genetic correlations among persistency of milk and fat yields and several metabolic diseases. Harder et al. (2006) also reported unfavorable genetic correlations among persistency and metabolic diseases. Lactation persistency as defined by Cole and Van- Raden (2006) is useful as a measure of the shape of the lactation curve self-governing of 305-d yield. The results of Jamrozik et al. (1998) and van der Linde et al. (2000) suggest that lactation curves and persistency differ surrounded by lactations, and differences probably exist between early- and late-maturing breeds. This was confirmed by Cole et al. (2009), who estimated lactation curves for first and later parities in 6 breeds of dairy cattle and found that parameters describing the shapes of the curves can vary considerably.2.2.3 Milking practicesMilking Jersey cows three times daily results in an average increase. The increase i n yield due to milking three times daily varies greatly with the producing ability of the animal on twice a day milking and is in return proportional to such ability. High producing cows show a little increase in yield when milked three times daily than do cows with a lower inherited producing ability. Milking heifers three times daily on test results in a slightly greater development than when the initial records are made on twice a day milking of approximately 19 per cent in butterfat and 21 per cent in milk yield. In addition, positive correlations have been reported between milk yield and MD (Petersen et al, 1986 Weiss et al., 2004). Similarly, results from this study indicate positive correlations for milk yield with average milk flow and milk duration suggest that these correlations differ depending on breed.2.2.4 Dry periodDry period is non-lactating days between lactations. This non lactation time is generally a 5 to 6 weeks residuum period before freshening. The duration of dairy cattle stop from lactating. This duration is needed for regression of mammary gland. During this period, mammary gland expounds to repair or develop back imbalance tissues to normal. To induce this process of repairing a limited treatment is applied to cow called dry cows therapy. The dry cows therapy is a treatment for controlling bovine mastitis from intact to mammary gland. commonly the recommended dry period practices for about 45-50 days. A practices dry period is less than 40 days, can effect on decreasing of next lactation (Swanson 1965 Coppock et al. 1974 Dias and Allaire, 1982). According to Capuco et al. (1997) the cows given 60 days dry period can increasing mammary DNA synthesis begin occurring about2.2.6 Calving Interval and ParityBreeding efficiency can be measured by looking to calving interval and age at first calving, although they are not the only measures of herd performance. Speicher and Meadows (1967) have suggested the correct calving interval is 12 months (365 days), the longer calving interval more than 12 months can lose the profit in overdue of feed cost. McDowell (1971) considers the following factors adequate for successful dairying a calving interval between lactations of less than 450 days an excess of 200 days in lactation less than 30 percent female mortality and fit management.According to Murdia and Tripathi, 1993 a good calving interval for cows at puke of 360 to 390 day (12 month to 13 month), if the calving interval swerve than 360 days it can give impact on milk production decline 3.7 to 9 percent in lactation length. If the condition vice versa having longer calving interval more than 450 days (15 months) it will increasing milk yield production for 3.5 per cent. Although, the longer calving interval more 15 months increased milk production this situation may theorize on farmer profit because the milk has been produced not equivalent to feed has been giving to the cows.A study from I.R. Bajwa et al, 2004 t he effect of average lactation length on parity is decreased begin at parity quaternate and 5th, after parities 5th the milk yield and lactation length start to increased back until parties 8. Both breed and parity effects have been shown to exist on lactation curves (e.g. Wood, 1980 Collins-Lusweti, 1991 Friggens et al., 1999 Rekaya et al., 2001) and can now easily be included as fixed factors in test-day models and other linear models that check time trends (Van der Werf et al., 1998 Macciotta et al., 2005).2.2.7 EnvironmentResults to characterize effects of climate on milk production are important for commercial milk production, perhaps particularly under circumstances where climate is a limiting factor (Sharma et al, 1988). major(ip) benefits of shade management on milk yield appear to be related to indirect effects such as feed intake and digestive tract performance rather than direct effects on ability of the mammary gland to synthesize milk (Collier et al, 1981). Cows calvi ng from November through with(predicate) March yielded more milk and fat than cows that calved in July and August. These results are similar to those reported by Blanehard etal. (3), Frick et al. (6), Gaunt et al. (7), and Wunder and McGilliard (22). Seasonal variation in animal performance in tropics is expected to be primarily a manifestation of variation in feed quality and quantity (Javed et al., 2000). The animals of temperate regions maintained in tropical conditions cannot behave in like manner in both the environments (Javed et al., 2002). This indicated that the animals of temperate zone did not adapt to the tart environments of tropics and could not perform satisfactorily (Javed et al., 2004).CHAPTER 3 MATERIALS AND METHODS3.1 Source of DataThe information on 233 performance records of 170 Jersey heifers, five bulls for ingrained mating purpose and 58 are in calves stages during the period of 2007 through 2009 were utilized for present study. All Jersey breed at this farm are pure and imported from Australia. afterward editing3.2 Background and side of FarmThe data sources are from farm dairy at state of Keratong, Muadzam, Pahang at longitude 103.4833T and latitude 2.8167U in closed house system with temperature 24C. The sources of data are from Makmur Dairy Sdn Bhd. The Makmur Dairy Sdn Bhd was completed under LKPP (Lembaga Kemajuan Perusahaan Pertanian) Corporation Sdn Bhd in May 2006. At beginning farm affording, 300 Jersey animals were imported from Australia. This farm not only counsel on dairy animal but also doing multiple ranches including feedlot cattle, dual purpose goat Shami breed.3.3 General Management and Feeding PracticeThis farm practices cut and carry feeding (Guinea and Napier grass) system 40kg/head and concentrate 5-10kg/ head. This farm practices machine milking two daily routine, first at 7.00am and 4.00pm at evening. The stallion animal at this farm are under intensive system. After milking process, the animal allow to free-range at paddock from 9.30 am until 10.00am. In this farm consist with two animal barns, barn A and barn B. within barn B it completely closed house system provided with cool pad and seven fans for cooling purpose. At this farm, they practices animal bedding utilise sand.3.4 Data Record Extraction and EditingThe following data will be collected animal identification, date of calving, lactation milk yield, lactation length, lactation stage, parity, dry period, calving interval and nutrition value on concentrate feed.Following performance traits will be recorded/ psychoanalysis and utilized in the present study. The data analyze starting from year 2007 until 2009.3.4.1 Lactation Milk Yield and Milk Yield per Day be milk produced during a given lactation which terminated normally was considered as lactation milk yield. Lactation milk yield Effects of lactation length calving interval and service period on lactation milk yield also estimated. Two lactation milk yields was gr oup to three classes, this is because the farm newly established for about four years. The take to be value, average and example deviation is counted for lactation milk yield and milk yield per day beginning from 2007 until 2009.3.4.2 Lactation LengthLactation period each cows is counted start from calving until the cows has dried up. separately of lactation length of cows is counting on average and soaked value. The length of lactation period depends on production level and open period of each cow.3.4.3 Lactation StageIn study the data lactation stage has categorized to three sub classes the three sub class are 1 early lactation stage between 14 to 100 days, 2 mid lactation stage between 100 to 200 days and 3 late lactation stage between 200-350 days. The data regarding from 2007 to 2009 record farm keeping.3.4.4 ParityThe date of calving from first calving at years 2007 until 2009 is record for analyzing the data. Parity if a one major factors effect on lactation milk yield. more(prenominal) parity indicated lower of milk yield in dairy cattle especially in parities 4th and 5th (I.R Bajwa, 2004). The parities are divided into three group first is one for first parity, second is two for second parity and thirdly is three for third parity.3.4.5 Dry PeriodThe powerful and proper management of dry period is one of keywords to make sure the milk production can stand in a high amount production. The data regarding dry period is going to make three sub class 1 dry period for 0 to 40days, 2 dry period 40 to 70 days and 3 dry period above 70 days.3.4.6 Calving IntervalThe data from date of parturition is used for calculating calving interval, the symbolizes, standard deviation and standard error are applied to summarize the data. Because of the cows only have three parities, the calving interval is calculated base on first parities and second parities. The calving interval is divided into four categories that is energy delineate for no calving interval, on e is below than 360days, two for calving interval at range 360 to 390days and three is above 390.3.4.7 Nutrition Value on Concentrate feedProximate analysis of concentrate feed from the farm record is taking up for comparing the nutrition value concentrate feed at farm with recommended nutrient requirements for dairy cattle in different lactation stage. Nutrition is a factors effecting milk production of dairy animal. In different year the nutrition value is different in each year. The lactating ration and the basal ration nutrition value are taking up for comparison on effecting milk yield.3.5 Data AnalysisAnalyzing data with unequal parameters and disproportionate sub class analyzed using statistical analysis software SAS 9.0. The data will be analyzed using SAS software with analysis of dissonance (ANOVA). The two independent variables in ANOVA are called factors, the factors are genetic and environment which can influence milk yield of Jersey cows.Mean values of several factors effecting on milk production capacity of Jersey cows were analyzed on analysis of variance (ANOVA)Production Capacity Based on social class 2007-2009 relating nutrient value on concentrated feed.Production Capacity Based on Parity, Lactation Stage, Dry Period, and Calving Interval.CHAPTER 4 RESULTS AND watchwordThe analysis performance groups of Jersey cows productivity from 2007-2009 in various responses factors is interpret.4.1 Production Capacity Patterns4.1.1 Production Capacity Based on Year 2007-2009 Relating with Nutrient Value on Concentrated FeedCalculating remember of milk yields begin from year 2007 to 2009 for 126 milking cows was 906.1563.32 liters with a coefficient of variation 78.4%. The highest yield was 949.91 liters at year 2009. In year 2007, the mean milk yield is 615.46 85.23liters with coefficient variations 57%. In the next year 2008 the mean milk yield is 953.2799.44liters with coefficient variations 74%. In year 2009 the mean milk yield is 949.91101.84 with coefficient variations 81.4%.The mean lactation length of all cows was 1667.71days, with a coefficient variation 52.2%. For year 2007 it was 16613.19days of lactation length with coefficient variations 32.8%. In year 2008 the mean lactation length is 16512.57days with 54.4% coefficient variations. In year 2009 the mean lactation length is 16712.13days with 55.3% coefficient variations. The milk production and lactation days based on year are shown in table 4.1.1(a) and fig 4.1.1(a).The analysis of variance on milk yield based on nutrient value of year has no significant different effect (P1.66). Nutrient value may effect on milk yield (liters), in nutrient value based on year one the NFE amount around 43-38%, for year two the amount of NFE is around 52-49% and third year the amount of NFE in range 48-52%. The requirement of nitrogen free extracts (NFE) not complete for supporting milk production as recommended value is 63.4% NFE. In year 2007-2008 the amount of total digestibl e nutrient (TDN) is in rage 56-68% only and it not enough for supporting milk production as recommended amount 72.8%. In year 2007-2009 value of metabolisms energy is sufficient for supporting milk yield because the recommended amount of metabolism energy in ration must be 11.10%.4.1.2 Production Capacity Based on Parity, Lactation Stage, Dry Period, and Calving Interval. depend of 30 heads milking cow have been observed on the style milk yield (liters) of cows in parities one is 1219.51126.17 with coefficient variance 56.7% and means value for second parities is 1403.22101.02 with 26.9% of coefficient variance in fourteen cows been milking. The third parities for means value of milk yield is 1153.74162.08 liters with 34.4% with six heads milking cows. Analysis of variance (ANOVA) on factor effecting milk yield on parity one, parity two and parity three are significantly different (PLactation stage are divided to three sub classes, the sub classes are lactation stage one considerin g as early lactation for 14-100days, second lactation stage is a mid lactation in range of 100-200days and third lactation stage with range of days 200-305days. The mean value for lactation stage one is 160 251.29 with coefficient variance 14.4%. In second lactation stage the mean value is 777.10 92.04 with coefficient variance 45.87%. The third lactation stage the men value is 1550.80 77.91 with coefficient variance 28.86%. The analysis of variance (ANOVA) is lactation stage one, two and three have significantly (PMean value in first dry period is 2266.42 221.66 with coefficient variance 19.56% and second dry period on mean value 1362.10 163.19 with coefficient variance 23.96%. The last, third dry period on mean value is 1158.10 81.58 with coefficient variance 45.65%. The number one, two and three is representing on 1 for 0 to 40days, 2 for 40 to 70days and 3 for above 70days dry period. The analysis of variance (ANOVA) in dry period are significantly (PThe mean value for calving i nterval on zero is 1229.70 130.17 with 57% and second calving interval the mean value is 1605.20 76.88 with coefficient variance 6.8%. The third calving interval is 1300.30 129.46 of mean value and 29.86% of coefficient variance. The calving interval in one and three have not significantly (PRelating all factor effect on milk yield from analysis of variance they are significant between lactation stage and dry period (PCHAPTER 5 CONCLUSIONAfter al