Year: 2025
Type: conference-paper
Abstract: This study aims to examine the use of the Multiple Adaptive Regression Splines (MARS) method in the field of animal husbandry from a bibliometric perspective.MARS is increasingly gaining attention in areas such as animal breeding, genetic selection, feed efficiency and live weight estimation due to its capacity to model complex and nonlinear relationships.Within the scope of bibliometric analysis, studies published in the relevant literature will be scanned through international databases such as Web of Science and Scopus, and publication trends, most cited articles, influential authors, collaborative networks and subject headings will be examined in detail.In addition, scientific collaborations and changes in the research agenda will be revealed using analysis tools such as R software, VOSviewer and CiteSpace.This analysis will provide an important reference source to determine current trends and future research opportunities in the use of the MARS method in animal breeding.
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
SDG: Zero hunger
Open Access status: gold
OpenAlex ID: W4410285607