{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T09:38:36Z","timestamp":1793093916044,"version":"4.5.0"},"reference-count":48,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T00:00:00Z","timestamp":1770768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T00:00:00Z","timestamp":1770768000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/tdm\/tdmrep-policy.json"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Dairy Research"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This study explored the relationship between dairy technology adoption (DTA), crop diversification and food security among smallholder farmers practicing mixed agriculture in Bason Werana Woreda, North Shewa Zone, Amhara Region. A systematic sampling method selected 252 households from two randomly chosen government administrative areas (kebeles), proportional to size. Data were analysed using descriptive statistics and an endogeneity-corrected recursive conditional mixed process regression model to examine bidirectional causation. Findings showed a 34% adoption rate of dairy technology, with improved housing and vaccination being the most common, while artificial insemination and improved breeds had the lowest adoption. The Herfindahl Iindex for crop diversification was 0.31, indicating a lower-middle level. Food security analysis, based on the Food Consumption Score, revealed that 78.57% of households were food secure, while 16.27% and 5.16% had borderline and poor food security, respectively. The regression results indicated that DTA significantly improves food security, and vice versa, but no causal relationship was found between these factors and crop diversification. The study identified key household-level and policy-related variables that are critical for enhancing DTA and addressing food insecurity. Overall, the findings underscore the importance of designing and promoting context-specific, locally optimal agricultural strategies that are closely aligned with household characteristics. Such alignment is essential for advancing dairy sector development and improving the welfare of smallholder farmers in Ethiopia.<\/jats:p>","DOI":"10.1017\/s0022029926102064","type":"journal-article","created":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T06:33:08Z","timestamp":1770791588000},"page":"211-217","source":"Crossref","is-referenced-by-count":0,"title":["Exploring the link between dairy technology adoption, crop diversification and food security: insights from mixed farming systems in central highlands of Ethiopia"],"prefix":"10.1017","volume":"93","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7329-6740","authenticated-orcid":false,"given":"Abrham Seyoum","family":"Tsehay","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/038b8e254","id-type":"ROR","asserted-by":"publisher"}],"name":"Arts and Humanities, Addis Ababa University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2026,2,11]]},"reference":[{"key":"S0022029926102064_ref7","unstructured":"Central Statistical Authority (CSA) (2021) Agricultural sample survey 2020\/21 (2013 E.C). report on livestock and livestock characteristics. Addis Ababa, Ethiopia."},{"key":"S0022029926102064_ref52","unstructured":"World Food Program (WFP) (2008) Food consumption analysis: calculation and use of the food consumption score in food security analysis. Technical Guidance Sheet. Rome: Vulnerability Analysis and Mapping Branch, World Food Programme. pp. 1\u201324."},{"key":"S0022029926102064_ref32","volume-title":"Ethiopia National Dairy Development Strategy 2022-2031","author":"Legese","year":"2023"},{"key":"S0022029926102064_ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e12764"},{"key":"S0022029926102064_ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.landusepol.2023.106663"},{"key":"S0022029926102064_ref40","first-page":"128","article-title":"Pattern of crop concentration and crop diversification: an economic analysis","volume":"20","author":"Nagpure","year":"2017","journal-title":"Maharashtra Journal of Agricultural Economics"},{"key":"S0022029926102064_ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s12571-018-0795-2"},{"key":"S0022029926102064_ref37","first-page":"78","article-title":"Pattern, Trend and Determinants of Crop Diversification: empirical Evidence from Smallholders in Eastern Ethiopia","volume":"2","author":"Mesfin","year":"2011","journal-title":"Journal of Economics and Sustainable Development"},{"key":"S0022029926102064_ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.gfs.2022.100645"},{"key":"S0022029926102064_ref55","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1510982112"},{"key":"S0022029926102064_ref3","first-page":"1","article-title":"A review on roles of smallholder milk production in Ethiopia","volume":"8","author":"Ayza","year":"2020","journal-title":"Research and Reviews: Journal of Food and Dairy Technology"},{"key":"S0022029926102064_ref21","doi-asserted-by":"publisher","DOI":"10.1002\/geo2.149"},{"key":"S0022029926102064_ref53","volume-title":"Statistics: an Introductory Analysis","author":"Yamane","year":"1967"},{"key":"S0022029926102064_ref47","doi-asserted-by":"publisher","DOI":"10.1080\/23322039.2023.2288466"},{"key":"S0022029926102064_ref45","first-page":"1","volume-title":"Dairy Technology Adoption and Its Impact on Household Food Security: The Case of Basona Warena Woreda","author":"Taddese","year":"2019"},{"key":"S0022029926102064_ref33","doi-asserted-by":"publisher","DOI":"10.1080\/0376835X.2014.911694"},{"key":"S0022029926102064_ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodpol.2014.01.008"},{"key":"S0022029926102064_ref51","unstructured":"World Bank (2024) World development indicators [Data set]. 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