Parameter estimation of factors affecting milk yield in a multicollinearity by Bayesian Regression method

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.

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ANALYSIS OF FACTORS AFFECTING THE PRICE FLUCTUATION OF CAYENNE PEPPER IN MALANG REGENCY

Agrisocionomics Jurnal Sosial Ekonomi Pertanian ◽

10.14710/agrisocionomics.v5i1.7123 ◽

2021 ◽

Vol 5 (1) ◽

pp. 19-26

Author(s):

Nurul Laili ◽

Sri Hindarti ◽

Dwi Susilowati

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Research Method ◽

Commodity Prices ◽

Secondary Data ◽

Regression Method ◽

Linear Regression Method ◽

Factors Affecting ◽

Independent Variables ◽

Multiple Linear Regression Method

This study aims to 1) Analyze the pattern of changes in commodity prices for spanish pepper in Malang District. 2) Analyzing the factors that influence fluctuations in the price of spanish pepper in Malang District. The research method used is quantitative method that uses secondary data in the form of time series obtained from several related agencies, namely the Central Statistics Agency of Malang District, Department of Industry and Trade, and Department of food crops, horticulture, and plantation in Malang District. Analysis of the data used is multiple linear regression with the dependent variable is the price at the consumer level from 2009-2018, while the independent variables use the data of the price of spanish pepper at the producer level, the amount of production, and the amount of consumption from 2009-2018. The study found that: 1) The development of the price of spanish pepper had a trend that tended to increase during the last 10 years. 2) From the results of data processing using multiple linear regression method with Eviews 9.0 application, it is found that the factor that significantly influences changes in the price of spanish pepper is the price at the producer level, while the amount of production of spanish pepper and the number of requests does not significantly affect the change in spanish pepper prices in Malang District.

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Factors affecting net interest margin of joint-stock commercial banks in Vietnam

Journal of Asian Business and Economic Studies ◽

10.24311/jsabes/2017.24.1.01 ◽

2017 ◽

Vol 24 (01) ◽

pp. 92-103

Author(s):

An Pham Hoang ◽

Loan Vo Thi Kim

Keyword(s):

Commercial Banks ◽

Secondary Data ◽

Regression Method ◽

Factors Affecting ◽

Managerial Efficiency ◽

Net Interest Margin ◽

Panel Data Regression ◽

Data Regression ◽

Negative Effect ◽

Interest Margin

This study analyzes factors affecting net interest margin of joint-stock commercial banks in Vietnam. The paper uses the secondary data of 26 banks with 182 observations for the period of 2008–2014 and applies the panel data regression method. The empirical results indicate that lending scale, credit risk, capitalization, and in-terest rate have positive impacts on net interest margin. In contrast, managerial efficiency has a negative effect on net interest margin. However, bank size and loan to deposit ratio are statistically insig-nificant to net interest margin.

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Factors affecting milk yield and lactation curve fitting in the creole sheep of Chiapas-Mexico

Small Ruminant Research ◽

10.1016/j.smallrumres.2004.11.005 ◽

2005 ◽

Vol 58 (3) ◽

pp. 265-273 ◽

Cited By ~ 6

Author(s):

Marisela Peralta-Lailson ◽

Arturo Ángel Trejo-González ◽

Pastor Pedraza-Villagómez ◽

José M. Berruecos-Villalobos ◽

Carlos G. Vasquez

Keyword(s):

Milk Yield ◽

Curve Fitting ◽

Factors Affecting ◽

Lactation Curve ◽

Fitting In

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Evaluation of extent and amount of heterogeneous variance for milk yield in Uruguayan Holsteins

Animal Science ◽

10.1017/s1357729800055752 ◽

2001 ◽

Vol 72 (2) ◽

pp. 259-268 ◽

Cited By ~ 6

Author(s):

J. I. Urioste ◽

D. Gianola ◽

R. Rekaya ◽

W. F. Fikse ◽

K. A. Weigel

Keyword(s):

Milk Yield ◽

Phenotypic Variance ◽

Simple Method ◽

Factors Affecting ◽

Lorenz Curves ◽

Gini Coefficients ◽

Adjustment Procedure ◽

Contemporary Group ◽

Lactation Length ◽

Log Linear

AbstractThe extent and amount of heterogeneous phenotypic variance for milk yield in the Uruguayan Holstein population were evaluated and a simple method of accounting for heterogeneity was developed. Lactation records (159 169) collected between 1989 and 1998 by two recording schemes were used to form 8955 herd-year-season-parity-lactation length contemporary groups. A log-linear model was used to identify factors affecting heterogeneity of phenotypic variance. The model included effects of production level, contemporary group size, recording scheme, herd, season of calving, parity number, calving year period and length of lactation and accounted for 50% of the variation in log variances. Estimates from this model were used in a Bayesian manner, to obtain posterior mean estimates of within-contemporary-group variances, which were then used to standardize records to a baseline variance. Effects of the adjustment were assessed by comparing coefficients of variation before and after correction, by correlation and regression between mean and standard deviations, and by using Gini coefficients and Lorenz curves. The adjustment procedure reduced heteroscedasticity primarily by decreasing the frequency of low-variance contemporary groups. Lorenz curves and Gini coefficients indicated that the largest impact of the standardization procedure was related to the size of the contemporary group. Some differences in the effect of the correction were found between recording schemes. The method for adjusting records is simple and easy to adapt to current genetic evaluation procedures.

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An analysis of the variation between dairy-sire progeny-groups for milk yield and fat content

Proceedings of the British Society of Animal Production ◽

10.1017/s0369852100001883 ◽

1958 ◽

Vol 1958 ◽

pp. 19-29 ◽

Cited By ~ 5

Author(s):

Alan Robertson ◽

S. S. Khishin

Keyword(s):

Milk Yield ◽

Comparison Method ◽

Fat Content ◽

Fat Percentage ◽

Simple Method ◽

Factors Affecting ◽

Special Cases ◽

The Mean ◽

Milk Marketing ◽

The Relationship

The past few years have seen the development in Great Britain of the ‘contemporary comparison’ method for evaluating progeny tests of dairy sires (Macarthur, 1954; Robertson, Stewart and Ashton 1956). The final overall figure attached to a sire is the mean difference between the yield of his daughters and that of other heifers milking in the same herd in the same year, with due regard for the numbers of animals in the two groups. Although it has some imperfections in special cases, this is probably the most informative simple method of evaluating a sire for yield and, fortunately, one which could be easily integrated with the existing recording system. The method has been turned into a simple routine in the Bureau of Records of the Milk Marketing Board and several thousand bulls have now been evaluated. In this paper, we shall be mostly concerned to use this material to investigate the heritabilities of milk yield and fat content and the relationship between the two in the different breeds. The information that we shall use consists, for each bull, of the mean contemporary comparison, with its effective ‘weight’, and the average fat percentage of the daughters. Before we deal with the observed results, we should go into rather more detail into the nature of these two figures and into the factors affecting them.

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Partial milking of cattle in smallholder herds on the Accra Plains: some factors affecting daily partial milk yield and milk composition

Animal Science ◽

10.1017/s0003356100020511 ◽

1992 ◽

Vol 54 (1) ◽

pp. 15-21 ◽

Cited By ~ 3

Author(s):

S. A. Okantah

Keyword(s):

Milk Yield ◽

Milk Composition ◽

Dry Season ◽

Sub Saharan Africa ◽

Factors Affecting ◽

Stage Of Lactation ◽

Lactation Length ◽

Sub Saharan ◽

Quadratic Effects ◽

Accra Plains

AbstractDaily partial milk yield of Sanga cows in 13 smallholder agropastoralist herds at two locations on the Accra Plains was recorded through monthly sampling. Estimates of mean daily partial milk yield and milk composition were computed from 1266 observations. The unadjusted mean daily partial milk yield was 875 (s.e. 11) g. The composition of milk: total solids (TS), fat (F) and solid-not-fat (SNF) were 131 (s.e. 14), 41 (s.e. 11) and 90 (s.e. 7) g/kg respectively. Least squares estimate of mean daily partial milk yield were 808·2 and 462·4 g with average s.e. of 41·8 for wet and dry season respectively. The wet and dry season differences in daily partial milk yield, TS and F were highly significant (P < 0·01). Seasonal difference in SNF was not significant.Herd difference in partial milk yield, TS, F and SNF were highly significant (P < 0·02). There were no significant effects of location on daily partial milk yield and SNF, although location effects on F and TS were significant (P < 0·05). The highest milk yield was observed in cows in third lactation and the lowest in cows in seventh lactation (P < 0·01). Daily partial milk yield peaked in the 3rd month of lactation. On average, lactation length was 210 to 240 days. Both linear and quadratic effects of stage of lactation were highly significant (P < 0·01). Lactation curve parameters for partially milked cows were also estimated. The implications of the results for milk production in sub-Saharan Africa were discussed.

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