Evaluation with clustering analysis of milk production in small ruminants in the East Black Sea Region

In this study, the efficiency of using cluster analysis in data obtained from small ruminants was being tested. The aim of the study was to test the effectiveness of cluster analysis using milk production data obtained from small ruminants in the Eastern Black Sea Region. The study aims to determine the production differences between the provinces and years in the region by examining the milk production data of small ruminants between the years 2004-2019. The provinces and years with the highest milk production efficiency were determined in the provinces determined by cluster analysis. The small ruminant milk production data used in the study conducted for the Eastern Black Sea Region were obtained from the records kept by TURKSTAT between the years 2004-2019. Due to lack of data, the years before and after these years could not be included in the study. According to the cluster analysis results, it was determined that the highest sheep and goat milk production was produced in the provinces of Ordu, Trabzon and Artvin in the first subcluster of the first main cluster, and then in the province of Giresun in the second subcluster. When examined by years, the highest sheep milk production was obtained in 2019 in the first sub-cluster of the second main cluster, followed by 2017 and 2018 in the second sub-cluster. It was observed that the highest yield in goat milk production belonged to the years 2018 and 2019 in the second main cluster.

Authors

Publication Details

Journal
Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi
Published
2025-08-09
DOI
https://doi.org/10.37908/mkutbd.1669975
Primary Topic
Agricultural and Rural Development Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation with clustering analysis of milk production in small ruminants in the East Black Sea Region

Murat Çimen
Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi
Agricultural and Rural Development Research
article

Evaluation with clustering analysis of milk production in small ruminants in the East Black Sea Region

Murat Çimen
article en

Abstract

In this study, the efficiency of using cluster analysis in data obtained from small ruminants was being tested. The aim of the study was to test the effectiveness of cluster analysis using milk production data obtained from small ruminants in the Eastern Black Sea Region. The study aims to determine the production differences between the provinces and years in the region by examining the milk production data of small ruminants between the years 2004-2019. The provinces and years with the highest milk production efficiency were determined in the provinces determined by cluster analysis. The small ruminant milk production data used in the study conducted for the Eastern Black Sea Region were obtained from the records kept by TURKSTAT between the years 2004-2019. Due to lack of data, the years before and after these years could not be included in the study. According to the cluster analysis results, it was determined that the highest sheep and goat milk production was produced in the provinces of Ordu, Trabzon and Artvin in the first subcluster of the first main cluster, and then in the province of Giresun in the second subcluster. When examined by years, the highest sheep milk production was obtained in 2019 in the first sub-cluster of the second main cluster, followed by 2017 and 2018 in the second sub-cluster. It was observed that the highest yield in goat milk production belonged to the years 2018 and 2019 in the second main cluster.

Mustafa Kemal Üniversitesi Tarım Bilimleri DergisiVol. 30(2)
Life below water
Openalex Percentile: Top 75%
Agricultural and Rural Development Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.