Influence of dairy farmers' knowledge on their attitudes toward breeding tools and genomic selection

Ule, Anita (author), Erjavec, Karmen (author), Klopčič, Marija (author)

Understanding farmers' attitudes towards traits is critical for developing appropriate breeding goals for dairy production. In response to a research gap in regards to the influence of farmers' knowledge of breeding tools, this study aimed to determine the effect of farmers' knowledge on their attitudes towards the use of breeding tools and traits in typical family-owned farms in Slovenia. An online questionnaire was sent to dairy farmers affiliated with Slovenian breeding associations, and 256 dairy farmers responded. The analysis was conducted in three steps. First, the basic response patterns according to the farmers' knowledge level were determined using latent class analysis. Second, farmers' attitudes towards breeding tools were assessed by 15 statements using principal component analysis. Finally, we were interested in the relationship between farmers' attitudes and knowledge about selection. The results showed that farmers had more knowledge about the benefits of genomic selection, followed by general knowledge about breeding values and the definition of genomic selection, and they had the least knowledge about the reference population. Farmers with more knowledge were statistically significantly more likely than farmers with less knowledge to have higher education, be younger, have a larger herd size, have higher milk production per cow, have the intent to increase herd size and milk quantity, and use genomically tested bulls. No significant relationship was found between belonging to a specific knowledge class and the main breed in the herd, the farmer's gender, production system, or farming in less-favoured areas. The results also show that farmers basically agree that they need written recorded performance data about a bull/cow to know exactly how good the animal is, that the genetic merit (breeding value) of bulls/cows adds to the performance of their progeny, that it is very important to maintain the breed characteristics of bulls/cows, that cooperation in being able to compare animals with other farmers is essential for improving herd performance, and that the possibilities of selecting dairy cows with genomic selection and monogenetic traits must be fully exploited, indicating a positive attitude towards genomic selection. The level of knowledge was shown to influence attitudes towards various aspects of breeding. It was found that the higher the level of knowledge, the more positive the attitude towards genetic and genomic selection, and the more negative the attitude towards traditional selection.

• Language: English
• Keywords: dairy cattle, farmer views, latent class analysis, selection tools, understanding genomic selection
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: BF - Biotechnical Faculty
• Publication status: Published
• Publication version: Version of Record
• Year: 2023
• Number of pages: 8 str.
• Numbering: Vol. 17, iss. 6, art. 100852
• PID: 20.500.12556/RUL-147383
• UDC: 636.2:575
• ISSN on article: 1751-732X
• DOI: 10.1016/j.animal.2023.100852
• COBISS.SI-ID: 153285123
• Publication date in RUL: 03.07.2023

ULE, Anita, ERJAVEC, Karmen and KLOPČIČ, Marija, 2023, Influence of dairy farmers’ knowledge on their attitudes toward breeding tools and genomic selection. Animal : the international journal of animal biosciences [online]. 2023. Vol. 17, no. 6,  100852. [Accessed 11 April 2025]. DOI 10.1016/j.animal.2023.100852. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=147383

Record is a part of a journal

• Title: Animal : the international journal of animal biosciences
• Publisher: Elsevier, The Animal Consortium
• ISSN: 1751-732X
• COBISS.SI-ID: 2032008

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: govedoreja, krave, molznice, genetika, genomika, selekcija, rejci, stališča, Slovenija