Factors affecting the marketing channel choice of sheep and goat farmers in the region of east Macedonia in Greece regarding the distribution of their milk production

2008 ◽  
Vol 79 (1) ◽  
pp. 87-97 ◽  
Author(s):  
L. Tsourgiannis ◽  
J. Eddison ◽  
M. Warren
Keyword(s):  
Milk Production ◽  
Marketing Channel ◽  
Factors Affecting ◽  
Channel Choice

Factors affecting marketing channel choice decisions of smallholder Citrus growers

2018 ◽  
Vol 8 (3) ◽  
pp. 426-453 ◽  
Author(s):  
Muhammad Imran Siddique ◽  
Elena Garnevska ◽  
Norman Edward Marr
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Marketing Channel ◽  
Small Scale ◽  
Decision Making Process ◽  
Citrus Industry ◽  
Content Type ◽  
Factors Affecting ◽  
Channel Choice ◽  
Choice Decision

Purpose Despite the fact that citrus industry is growing in Pakistan where production is dominated by small-scale citrus growers, no research has been done to evaluate and analyse the marketing channel choice decision-making process of these citrus growers. The purpose of this paper is to review the existing factors affecting decision making of small-size citrus growers in citrus supply chain in Pakistan and also measures and analyses the factors that affect the marketing channel decisions of these small size growers. Design/methodology/approach A multivariate decision analysis technique, conjoint analysis, was used to analyse and evaluate the major factors affecting marketing channel choice decisions of small-size citrus growers. Findings It was concluded that among nine very important factors, six factors played a major role in the marketing channel choice decision making. Only three factors namely, “price”, “time of complete fruit picking” and “number of fruit pickings” were considered highly important factors and reflected that citrus growers not only want to secure his payments but also to save their orchards for next season(s). Research limitations/implications The research would provide valuable information about citrus grower’s marketing decision-making process and thus would contribute to improving the efficiency and effectiveness of citrus industry in Pakistan. Originality/value This analysis would suggest them to make rational decisions and help choosing them the most appropriate combination of different levels of different factors which would increase their profits. This study identifies the most relevant factors and their levels which citrus growers and pre-harvest contractors preferred in citrus marketing channel choice decision making, thus, server as a guideline for the buyer’s to deal with them accordingly. This would improve the efficiency and reduce the transaction cost along the citrus supply chain in Pakistan.

scholarly journals Factors affecting the milk production of dairy cattle in northern rural areas of Bangladesh

2015 ◽  
Vol 4 (2) ◽  
pp. 41-45 ◽  
Author(s):  
MR Begum ◽  
M Anaruzzaman ◽  
MSI Khan ◽  
M Yousuf
Keyword(s):  
Body Weight ◽  
Dairy Cattle ◽  
Milk Production ◽  
Rural Areas ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Lactation Period ◽  
Cross Sectional ◽  
Age At First Calving ◽  
Factors Affecting

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

scholarly journals Analisis Faktor-Faktor Yang Mempengaruhi Produksi Susu Kambing Perah Peranakan Etawa (PE) di Desa Limpok Kecamatan Darussalam Kabupaten Aceh Besar

2017 ◽  
Vol 2 (1) ◽  
pp. 127-133
Author(s):  
Rini Afrida ◽  
Edy Marsudi ◽  
Ismayani Ismayani
Keyword(s):  
Milk Production ◽  
Goat Milk ◽  
Dairy Goat ◽  
Case Study Method ◽  
Dairy Goats ◽  
Factors Affecting ◽  
Livestock Farm ◽  
Simultaneous Test ◽  
Object Of Study

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI SUSU KAMBING PERAH PERANAKAN ETAWA (PE) DI DESA LIMPOK KECAMATAN DARUSSALAM KABUPATEN ACEH BESAR (STUDI KASUS DI UD. ATJEH LIVESTOCK FARM) OLEH Rini Afrida / Agribisnis Universitas Syiah Kuala  ABSTRAK Susu kambing perah merupakan komoditas yang cukup penting di Indonesia. Penelitian ini bertujuan untuk  Menganalisis pengaruh jumlah pemberian pakan hijauan dan  ampas tahu terhadap  produksi susu kambing perah di UD. Atjeh Livestock Farm yang berada  di Desa Limpok Kecamatan Darussalam Kabupaten Aceh Besar. Metode penelitian yang digunakan adalah metode studi kasus dengan objek penelitian seluruh kambing perah peranakan etawa (PE) yang memproduksi susu di UD. Atjeh Livestock Farm. Metode analisis yang digunakan dalam penelitian ini adalah Model Cobb Douglas. Hasil penelitian menunjukkan bahwa variabel jumlah pakan hijauan dan ampas tahu mempunyai pengaruh nyata baik secara  serempak  maupun parsial terhadap produksi   susu, dimana diperoleh nilai dari uji serempak untuk   Fhit = 138.415 sedangkan untuk Ftabel = 3.98, karena nilai Fhit = 138.415   Ftabel = 3.98, maka kesimpulan yang dapat diambil adalah menolak H0. Artinya variabel hijauan  dan ampas tahu secara bersama – sama mempunyai pengaruh nyata terhadap produksi susu kambing perah, sedangkan dari uji parsial diperoleh nilai variabel hijauan untuk thitung = 4,016 sedangkan ttabelnya = 2,17881, karena nilai thitung= 4,016   ttabel = 2,17881, maka kesimpulan yang dapat diambil adalah menolak H0. Begitu juga untuk  variabel ampas tahu  diperoleh nilai untuk thitung =  2,255 sedangkan ttabelnya = 2,17881, karena nilai thitung = 2,255   ttabel = 2,17881, maka kesimpulan yang dapat diambil adalah menolak H0. Artinya  variabel hijauan maupun ampas tahu mempunyai pengaruh nyata terhadap produksi susu kambing perah.ANALYSIS OF THE FACTORS AFFECTING THE PRODUCTION OF GOAT MILK DAIRY CROSSBREED ETAWA (PE) IN THE LIMPOK VILLAGE SUB-DISTRICTS OF DARUSSALAM ACEH BESAR REGENCY(A Case Study in UD. Atjeh Livestock Farm)ABSTRACT Dairy goat milk is a commodity that is quite important in Indonesia. This study aimed to analyze the influence of the number of feeding forage and pulp out of the milk production of dairy goats in UD. Atjeh Livestock Farm that are in the Limpok village sub-district of Darussalam Aceh Besar regency. The method used is the case study method with the object of study throughout the dairy goat hybrid etawa (PE), which produces milk in UD. Atjeh Livestock Farm. The analytical method used in this study is a model Cobb Douglas. The results showed that the variable amount of green feed and tofu has a real influence both simultaneously and partially to the production of milk, which gained the value of simultaneous test for Fcount = 138.415 whereas for Ftable = 3.98, because the value Fcount = 138.415   Ftable = 3.98, the conclusions that can be drawn is to reject H 0. This means that the variable forages and pulp out together have a significant effect on the milk production of dairy goats, whereas the values obtained from the partial test variable forage for tcount = 4,016 whereas ttable = 2,17881, because the value of tcount= 4,016   ttable = 2,17881, the conclusions that can be drawn is to reject H 0. Likewise for variable pulp out obtained value for tcount =  2,255 whereas ttable  = 2,17881, because the value of tcount = 2,255   ttable = 2,17881, the conclusions that can be drawn is to reject H 0. This means that the variable forage or pulp out has a significant effect on the milk production of dairy goats.  

scholarly journals THE FACTORS AFFECTING MILK YIELD IN DIARY FARMING IN GREATER GUWAHATI REGION OF ASSAM

2021 ◽  
Vol 9 (08) ◽  
pp. 723-728
Author(s):  
Heman Sarmah ◽  
◽  
Jnanashree Borah ◽  
Tirthankar Sarma ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Dairy Cattle ◽  
Milk Production ◽  
Milk Yield ◽  
Policy Maker ◽  
Production Cost ◽  
Relative Importance ◽  
Factors Affecting ◽  
Micro Level ◽  
Farming Households

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.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI SUSU SAPI PERAH KELOMPOK TANI TERNAK SAPI PERAH (KTTSP) KANIA, KABUPATEN BOGOR

2019 ◽  
Vol 11 (2) ◽  
pp. 148-160
Author(s):  
Adam Adinegoro ◽  
Edmon Daris ◽  
Zulmanery Z
Keyword(s):  
Linear Regression ◽  
Dairy Cattle ◽  
Multiple Linear Regression ◽  
Milk Production ◽  
Regression Models ◽  
Linear Regression Models ◽  
Factors Affecting ◽  
Cattle Ranchers ◽  
Multiple Linear Regression Models

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.

scholarly journals Factors affecting heat tolerance in crossbred cattle in central Brazil

2014 ◽  
Vol 15 (2) ◽  
pp. 152-158 ◽  
Author(s):  
Concepta Margaret Mcmanus ◽  
Helder Louvandini ◽  
Tiago Prado Paim ◽  
Flávia Cristina Paula e Silva ◽  
Francisco Ernesto Moreno Bernal
Keyword(s):  
Milk Production ◽  
Bos Indicus ◽  
Test Group ◽  
Genetic Group ◽  
Lactation Period ◽  
The Sun ◽  
Factors Affecting ◽  
Central Brazil ◽  
Genetic Groups ◽  
Daily Milk Production

This study compared the adaptation traits in common crosses of crossbred dairy cattle in central Brazil. Twenty animals of each of three genetic groups were used: zebu (Bos indicus), Simmental x Zebu (SZ) and Holstein x Zebu (HZ). The test measured variations in rectal temperature (RT), respiration rate (RR) and heart rate (HR) of animals in the shade and after exposure to the sun, as well as mean daily milk production throughout the lactation period. The procedure was repeated three times. There were significant interactions between test group and genetic group for the traits investigated and the correlations among traits were low. The RR of the crossbred groups may be controlling body temperature in such a way as not to cause an increase in RT. Milk production influenced RR in crossbred cows exposed to the sun, confirming their poorer adaptation in comparison with zebu cows. We observed that the adaptation can be measured in terms of production within the same genetic group. In conclusion, the crosses with European breeds produced more milk than zebu, although they were influenced by heat/solar radiation.

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