scholarly journals HUBUNGAN MORFOMETRI DENGAN PRODUKSI SUSU SAPI PERAH PERANAKAN FRIESIAN HOLSTEIN (PFH)

2020 ◽  
Vol 8 (1) ◽  
pp. 49
Author(s):  
Yudhistira Eka Putra ◽  
Sri Mulyati ◽  
Sri Mumpuni S.

Dairy cow’s is one of an animal which produce milk. It capable to supply the high necessary of milk in Indonesia. Many factors can influence milk production. Genetic, age, udder size, weight, lactation period, feed are the important part to decided milk production. The research aimed to study the correlation of morphometry based on chest circumference, body length, height, udder circumference, high of udder toward milk production. Data taken in form of chest circumference, body length, height, udder circumference, high of udder, and milk production. Data have been collated and analysize using regression analysis with SPSS software. The result showed that high of udder have a correlation with milk production. Chest circumference, body length, height, and udder circumference have no showed a correlation with milk production.

2017 ◽  
Vol 4 (2) ◽  
pp. 91-98
Author(s):  
Maksuda Begum ◽  
Jahura Begum ◽  
Md Kamrul Hasan Majumder ◽  
Mohammad Monzurul Hasan ◽  
Md Shamsul Hossain ◽  
...  

Data on body measurements like BL (body length), CG (chest girth), WH (wither height) TM (test day milk production), PM (peak milk production), LP (lactation period), CFDC (cost for concentrate feed before test day milk production per cow), GGU (green grass used before test day milk production per cow) and husbandry practices, were collected from a total of 100 dairy cattle at the villages of Islampur upazila under the district of Jamalpur in Bangladesh from January to February 2017. Collected data were analyzed using SPSS software. The highest BL, CG, WH, CFDC and GGU were 175.71±0.42 cm, 161.74±0.24 cm,123.82±0.11 cm 125.54±0.24 bdt/cow/day and 27.29±0.89 kg/cow/day, respectively. The highest amounts of TM, PM and LP were 9.36±0.60 liter/cow, 13.11±0.54 liter/cow and 247.14±1.47 days/cow, respectively. BL, CG and WH increased with increased of the age of crossbred cattle up to 150 months of old. Similarly, CFDC and GGU increased with the increased of the age of crossbred cattle up to 150 months of old. Farmers in the study area were not interested to keep breeding bulls for breeding purpose but they were using artificial insemination system to inseminate their cows and aware about production performance record of the inseminating bull. Farmers took health services from milk vita and sold milk to the same. They believed that dairy cattle rearing a profitable livelihood. TM, PM and LP increased with the increased of the age of crossbred cattle up to 150 months of old. However, increase of CFDC will increase TM, LP and PM but increase of GGU will increase only LP. On the other hand increase of CG will increase TM and increase of BL will increase LP and PM.Res. Agric., Livest. Fish.4(2): 91-98, August 2017


2021 ◽  
Vol 7 (1) ◽  
pp. 19
Author(s):  
Wida Nur Ningsih

The purpose of this study was to determine the relationship between milk production of PFH dairy cows with BCS at the first lactation at BBPTU HPT Baturraden. The study was conducted from March 20 to April 20 2018, with research material consisting of 250 production data records and 250 BCS data records that were corrected in lactation months 1 to 10 originating from BBPTU HPT Baturraden. Data analysis shows that milk production has a close relationship with lactation month, the results are shown by the equation y = -0.1223x2 + 0.6068x + 13.493 with R2 of 0.97. These results are reflected in the milk production curve which shows in the first month to the third month that there is an increase in milk production, with peak production being reached in the third month. Average peak milk production is 14.74 liters / head / day and average milk production Daily 12.12 liters / head / day. The results of the BCS analysis show that BCS has a close relationship with the lactation month, the results are shown by the equation y = 2.9133 + 0.0132x2 + 0.0365x shown with R2 of 0.95. The results on the BCS graph show that BCS is increasing as the lactation period progresses, the largest average BCS is obtained 3.79 in the 10th month. The relationship between milk production and BCS based on the analysis shows the equation y = -3,9224x2 + 18,894x - 7,6087, indicated by an R2 of 0.98.


2011 ◽  
Vol 27 (2) ◽  
pp. 217-225 ◽  
Author(s):  
M. Zujovic ◽  
N. Memisi ◽  
V. Bogdanovic ◽  
Z. Tomic

This paper presents the results of the variability and correlation of body measurements and milk production of domestic Balkan goat breed that is reared in the mountain range Sharplanina, depending on the lactation. Studied animals were monitored and lactation, or order of kidding (I, II, III and IV and the next lactation together). Control of milk production, included a total of 290 goats in different lactations (first-81 animals, the second-69 heads, 71 heads third-and fourth and following along latkacije-69 heads). In order to determine the measure of body development in adult goats, one takes values for height at withers, body length, chest depth, chest width, the width of the cross and body weight. The variability of the analyzed characteristics is presented descriptive parameters and the effect of lactation is determined by a factorial analysis of variance. The determined average values for milk production and measures of body development are located within those identified for this population of goats. During these tests showed statistically significant correlation dependence (P <0.05) between all studied variables, except when it comes to length lactation period and individual measures of body development. The correlation coefficient between length of lactation and established measures of body development. are low and reflect the existence uncorrelation dependence, and their values range from 0.08 to 0.11, while they were unjustified and statistically (P> 0.05).


2017 ◽  
Vol 52 (12) ◽  
pp. 1261-1267
Author(s):  
Andréa Carolina Santos de Souza ◽  
Marcos Paulo Gonçalves de Rezende ◽  
Paulo Luiz Souza Carneiro ◽  
Bárbara Machado Campos ◽  
Carlos Henrique Mendes Malhado

Abstract: The objective of this work was to assess the effect of editing and modeling of milk production data for genetic evaluation of Murrah buffaloes. Six strategies for evaluating milk production were analyzed: observed milk production (OMP); adjustment of milk production data to 305 (MP305) and 270 (MP270) days of lactation; removal of the 5 (MP5%) and 10% (MP10%) shortest lactation periods; and milk production along the lactation period as linear covariate (MPCO). Genetic parameters were estimated using the Bayesian inference, with heritability estimates of 0.19 to 0.23 and repeatability estimates of 0.35 to 0.36. Sires classified by OMP were high correlated to those classified by the other models, however, correlations to MP270, MP305 and MPCO decreased when considering only the best 20% sires. OMP showed greater differences in absolute mean deviations when compared with MPCO, MP270 and MP305. The strategies of analysis had similar heritabilities and stabilities. However, changes in the ranking of sires with better classifications, due to overestimation of genetic values, as occurred in the models MP305, MP270 and MPCO, may lead to a decrease in the genetic progress of the herd.


Author(s):  
Wahyu Puji Santoso, M Dima Iqbal Hamdani, Arif Qisthon, and Sulastri

This research aimed to determine the relationship between body measurements including body length (x1), body height (x2), chest circumference (x3), and udder volume (before milking (x4)) with milk production of Etawah Crossbreed goat at the Mandiri Jaya Bersama and Yosomukti farms, Metro Timur District from July-August 2019. This study used a survey method with twenty female Etawah Cross Breed goats as samples taken by purposive sampling. Data were analyzed using correlation and linear regression analysis. The results showed that volume of udder before milking has a strong relationship (r = 0.82) with milk production, with regression line equation Ŷ = 109,65+0,82X4 (R2 = 0.66). Each of body length (r = 0,09), body height (r = 0,09), or chest circumference (r = 0,18) variables were very low correlated with milk production. Combination variables of body length, body height, chest circumference, and udder volume before milking had a strong correlation with milk production, with r = 0.832 and the regression line equation of Ŷ = 172,457-16,322X1+5,414X2+8,361X3+0,845X4 (R2 = 0.68). It can be concluded that volume of udder before milking can be used in the estimation of milk production of Etawah Crossbreed goat.   Keywords: Etawah Crossbreed, Correlation, Regression, Body measurements, Milk production


2020 ◽  
Vol 8 (2) ◽  
pp. 169
Author(s):  
Mujahid Mujahid ◽  
Imam Mustofa ◽  
Benjamin Chr Tehupuring ◽  
Tjuk Imam Restiadi ◽  
Hana Eliyani ◽  
...  

Objective from this research was to determine the relationship of udder morphometry which consists of the height of the front udder, the height of the rear udder and the circumference ofudder on milk production in the Bima District of West Nusa Tenggara. One of ways to choose a good lactational mare is to pay attention at the shape of the part external body which is udder. The sample had used 32 mares that were in lactation period. Milk production has been measured from the average milk production per day in the lactation period. Milking process in Bima District, West Nusa Tenggara has done in three to four times a day in the span of four to five hours per day. Body length had been measured from os thoracalis to os coxae, chest circumference had been measured from os vertebrae thoracalis to os thoracalis, posterior abdomen of pelvic to os pelvis and the last of os lumbar vetebrae. The research design in this study was survey on every wild mares rancher. Data that has been collected and processed using Multiple Regression with SPSS program version 23th. The result showed that there was a strong relationship between height of rear udder and udder circumference to milk production with back udder with height coefficient of 0.21 (P <0.05) and udder circumference was 0.11 (P <0.05) and equation in Y = 2.423 - 0.398LA + 0.793TAB. However, there is no significant relationship between the height of the front udder and milk production.


2018 ◽  
Vol 28 (2) ◽  
pp. 134
Author(s):  
Dwi Nurul Febriana ◽  
Diah Wahyu Harjanti ◽  
Priyo Sambodho

<p>The outer performance can be used for livestock selection. Body size and udder can be used to assess livestock productivity. This study aimed to determine the correlation between body size (body length, shoulder height and chest size), udder volume and milk production. The material used were 35 lactation PE goats in the lactation period of II-III and lactation month of 4-5. The analysis used was simple linear correlation regression and non-linear quadratic. The results showed that milk production and udder volume did not increase during the increasing of body length. Shoulder height with udder volume and milk production have unreal correlation. The overall calculation shows that there is no relationship between chest size, udder volume and milk production in livestock. The udder volume with milk production shows a strong correlation. In conclusion, there is no relationship between body length, shoulder height and chest size with udder volume and milk production. The correlation between udder volume and milk production is more udder volume, more milk can be produced.</p>


Author(s):  
Rahman Hussein AL-Qasimi ◽  
Shatha Mohammed Abbas ◽  
Allawi L.D. AL-Khauzai

The study was carried out on 19 ewes of local Awassi sheep and 12ewes local Arabi sheep in the Al-kafeel sheep station Karbala, to determine the effect of breed and some non-genetic factors such as (sex of the lamb, type of birth, age and weight of ewes at birth) on daily and total milk production and lactation period and some of milk components (fat, protein and lactose). The results showed that a significant effect (P <0.05) of the breed on milk production traits where Awassi sheep recorded the highest mean (0.91 kg , 101.63 kg , 104.86 day) compared to the Arabi sheep she was means (0.77 kg , 88.15 kg , 99.15 day) respectively. As well as in proportions of milk components with mean( 5.1 , 4.90 , 5.51) % respectively compared to the Arabi sheep (4.70 . 4.20 . 4.89) ewes with male lambs also exceeded superior ewes with female lambs in daily and total milk production and the lactation period the sex of the lamb did not affect the proportions of milk components the weight of the ewes had a significant effect (P <0.05) in milk production attributes with superior weight of ewes on lower ewes and did not affect the proportions of milk ingredients except for lactose. The type of birth and the age of the ewes did not have a significant effect in all the studied traits except for the superiority (P<0.05) of young ewes on age ewes in the fat percentage of milk.


Dairy farming is vulnerable to seasonal variable factors such as temperature, cold climatic conditions, and rainfall. These affect the production and reproduction traits of dairy animals. Seasonal variability also affects the quantity of consumption and marketing of milk considerably. The study aimed to assess the seasonal fluctuation in milk production in Sivagangai District Cooperative Milk Producer Union Limited (SDCMPUL), Tamil Nadu. The study used secondary data. The milk production data were collected from SDCMPUL, Karaikudi, Tamil Nadu. The data covered the period from 2001-02 to 2020-21. The study used descriptive statistics, CAGR, and paired ‘t-test to determine the variation of milk production according to seasonal changes. The MS office - Excel software and SPSS software were used to analyse the data. The results revealed that the mean milk production of the lean and flush season was 2.46 and 2.30 lakh liters, and the CAGR of milk production in SDCMPUL, Tamil Nadu, during the period 2001-02 to 2020-21 was 5.65 percent, and it was 5.23 percent in lean season and 6.11 percent in the flush season while the growth rate of milk production during the lean and flush season was positive and was significant statistically. It was found that the quantity of milk production was higher in the lean season than a flush season; however, the variability of milk production was more in the flush season than in the lean season.


1996 ◽  
Vol 79 (10) ◽  
pp. 1885-1894 ◽  
Author(s):  
T.A. Scott ◽  
B. Yandell ◽  
L. Zepeda ◽  
R.D. Shaver ◽  
T.R. Smith

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