Factors Affecting Progesterone in Milk for Pregnancy Diagnosis in Dairy Cattle

1976 ◽  
Vol 132 (5) ◽  
pp. 487-496 ◽  
Author(s):  
J.A. Pennington ◽  
S.L. Spahr ◽  
J.R. Lodge
Author(s):  
MR Begum ◽  
M Anaruzzaman ◽  
MSI Khan ◽  
M Yousuf

A cross sectional study was conducted to observe the factors affecting the productive performance of dairy cattle from northern rural areas of Bangladesh during July and September 2013. Data of 105 cows, 85 (80.95%) from local and 20 (19.05%) cows from cross breed, were randomly selected for the study. A binary logistic regression, expressed by odds ratio with 95% confidence interval, was done to determine the association of daily milk production categorized into ? 2 and > 2 liters (L), based on median, with the significant explanatory variables of body weight, age at first calving, lactation period, vitamin use, type of floor and milking person. The result demonstrated that the probability of milk production of >2 L was 6.16, 4.5, 20.65 and 5.7 times higher from the with animal body weight of >140 kg, age at first calving of >36 m, lactation period of >8 m and vitamin use than that of body weight of 140 kg, age at first calving of ?36 m, lactation period of ? 8 m, and not vitamin used respectively. The chance of milk production of > 2 L was 0.25 and 0.22 times lower for mud floor, and owner milking than that of brick floor and gowala (professional milking person) respectively. DOI: http://dx.doi.org/10.3329/ijarit.v4i2.22646 Int. J. Agril. Res. Innov. & Tech. 4 (2): 41-45, December, 2014


2021 ◽  
Vol 9 (08) ◽  
pp. 723-728
Author(s):  
Heman Sarmah ◽  
◽  
Jnanashree Borah ◽  
Tirthankar Sarma ◽  
◽  
...  

The production of milk is conceived of several factors and a very multifarious process. The knowledge of relative importance of the resource inputs influencing in milk production is essential for the dairy farmer for introducing desirable change in his operation at micro level and for the policy maker for formulating plans for improvements in dairy cattle productivity based on sound economic principles at the macro level (Rao, 1985).The income level of the dairy household is determined by the production of milk they produce at their farms. Generally, the income of the dairy household increases when the milk production cost decreases or when the milk production increases .For this it is essential to study the factors which directly or indirectly effect the milk production. Household samples have been selected both from the municipal wards of Guwahati Municipal Corporation area. Out of 672 dairy farming households, 201 household have been selected for the survey. Regression analysis has been used for the study of factors affecting milk production in greater Guwahati region of Assam.


2019 ◽  
Vol 11 (2) ◽  
pp. 148-160
Author(s):  
Adam Adinegoro ◽  
Edmon Daris ◽  
Zulmanery Z

The purpose of this study are: (1) to identify and to analyze the factors that influence milk production of dairy cattles, and (2) to determine the elasticity of milk production. This research was conducted at the Dairy cattle group KANIA, Bogor. Data were obtained from interviews and questionnaires with cattle ranchers. Multiple linear regression models and elasticity calculations were employed to analyze the data with the Excel 2007 and software for Statistical Product and Service Solution (SPSS) version 16. Results of the analysis revealed that the factors affecting milk production is labor, forages, and feed concentrates. The result of the calculation of the elasticity indicated that all production variables are elastic variables.


1995 ◽  
Vol 11 (1) ◽  
pp. 125-130 ◽  
Author(s):  
R. E. Montoya ◽  
R. A. Bucklin ◽  
R. A. Nordstedt ◽  
J. Van Horn Jr. ◽  
D. R. Bray

2014 ◽  
Vol 56 (1) ◽  
pp. 5 ◽  
Author(s):  
Junsung Lee ◽  
Jakyeom Seo ◽  
Se Lee ◽  
Kwang Ki ◽  
Seongwon Seo

2009 ◽  
Vol 235 (3) ◽  
pp. 292-298 ◽  
Author(s):  
Matthew W. Breed ◽  
Charles L. Guard ◽  
Maurice E. White ◽  
Mary C. Smith ◽  
Lorin D. Warnick

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