A research on determination of factors affecting the artificial insemination of dairy farms: A case study of Van province of Gevaş district

Abstract

ÖZET Suni tohumlama, düşük verimli hayvan ırklarının genetik iyileştirilmesi için tasarlanmış en önemli tekniktir. Çalışmada süt sığırcılığı işletmelerinde, suni tohumlama yaptırma durumuna etki eden başlıca sosyo-ekonomik ve işletmecilik özellikleri belirlenmeye çalışılmıştır. Çalışmanın ana materyalini, Van İli Gevaş ilçesinde süt sığırcılığı üretim faaliyetinde bulunan 81 adet işletmeden toplanan veriler oluşturmaktadır. Suni tohumlama yaptıran ve yaptırmayan işletmelerin kimi değişken ortalama değerleri arasındaki farklar t testi, suni tohumlama yaptırmaya etki eden faktörler ise Lojistik regresyon yöntemi kullanılarak analiz edilmiştir. Araştırma sonuçlarına göre; suni tohumlama yaptıran işletmelerle, yaptırmayan işletmeler arasında sosyo-ekonomik ve işletmecilik özellikleri bakımından anlamlı farklar bulunmuştur. Suni tohumlama yaptırmaya; işletmecinin yaşı, işletme arazisi büyüklüğü, yıllık süt üretim miktarı ve kooperatif üyeliği pozitif; işletmecinin deneyimi ve işletmenin ilçe merkezine olan uzaklığı ise negatif yönde etkilemektedir.A research on determination of factors affecting the artificial insemination of dairy farms: A case study of Van province of Gevaş district Anahtar Sözcükler: Lojistik regresyon Süt sığırcılığı Suni tohumlama Van ABSTRACT Artificial insemination is the most important technical practice designed to improve the genetic structure of low yielding breeds of animals. The objective of this study is to determine the socio-economical and administrative factors affecting artificial insemination in dairy farms. The information gathered from the 81 dairy farms in Gevaş District of Van Province comprise the main data of this study. t test were used in order to determine statistical differences of some variables between farms practicing and non-practicing artificial insemination. The probability rate of applying artificial insemination were estimated through logistic regression method. The results revealed that there existed a positive relationship between the artificial insemination practice and the farm land quantity (decar), yearly milk production quantity and being a membership of the cooperative. On the other hand, the relationship between the artificial insemination practice and experience duration of the farmers and the distance between the farm and the district center were found to be negative.

Factors affecting the use of artificial insemination of farmers in dairy farming

“…It was found that 38.1% of the farmers were aged between 26-36 and the average age was 40.8. In studies conducted in province of Van in Turkey and Uganda, the average age of the farmers was reported to be 45.0 and 44.5, respectively (Kaaya et al, 2005;Gençdal et al, 2015). Thus, it can be said that the results of this study are congruent with the findings of previous studies.…”

“…In this study, the ratio of the farmers who use AI was 85.3% and those who do not use AI was 14.7%. Similarly, the ratio of the farmers using AI was determined as 49%, 50.3%, 54.5%, 75.2% and 56%, respectively, in some studies (Howard and Cranfield, 1995;Aksoy et al, 2011;Özyürek et al, 2014;Gençdal et al, 2015). According to these results, it can be said that the ratio of AI use in the four districts known as the mountain region is higher than the ratio found in previous studies.…”

“…It was found that the majority of the farmers (72.2%) attended primary education and the average year of schooling was 6.2 in this study. In the studies conducted by Kaaya et al (2005) and Gençdal et al (2015), it is reported that the average year of schooling of the farmers was 10.3 years and 4.5 years, respectively. Therefore, the average year of schooling of the farmers in this study is lower than the value reported by Kaaya et al (2005) and higher than the value explained by Gençdal et al (2015).…”

“…It was found that 58.7% of the farmers had a dairy farming experience of 11-20 years and the average experience was 15.1 years. In studies conducted by Howard and Cranfield (1995), Kaaya et al (2005) and Gençdal et al (2015) found that the dairy farming experience of the farmers was 16.5 years, 19 years and 25 years, respectively. Thus, the results of this study on the dairy farming experience are lower than those obtained from previous studies.…”

“…Accordingly, these results were combined into a dummy variable; if the farmer do not use AI, this is given the value of 0 (0=no event) and the value of 1 is given when the farmer uses AI (1=event). The independent variables included in the model were selected from some studies in the literature (Tefera et al, 2014;Gençdal et al, 2015). Age is one of the important demographic characteristics affecting farmers' behaviors.…”