In response to the dual challenge of global agricultural greening and digital transformation, it is imperative for agricultural colleges and universities in China to restructure talent cultivation models to support the development of sustainable and intelligent agriculture. This study combines literature analysis, case studies, and questionnaire surveys to identify misalignments between the current agricultural education system and industry needs. Focusing on educational objectives, curricula, practical training, and faculty expertise, the authors propose a novel four-dimensional collaborative cultivation model, “Objectives–Curriculum–Practice–Faculty”. This model centers on interdisciplinary course clusters (e.g., agricultural artificial intelligence and blockchain traceability), industry–academia-integrated training platforms (e.g., smart agriculture innovation centers), and a Dynamic Adjustment Mechanism (DCAM). To support the implementation of this model, this study advances policy recommendations from three perspectives. First, governments should accelerate reforms by providing special funding support and formulating legislation on industry–academia integration. Second, universities must establish early-warning response mechanisms. Third, enterprises must participate in developing education on ecosystems. This paper establishes both a theoretical framework and a practical pathway to transform agricultural education, offering significant referential value for global agricultural institutions adapting to technological revolutions.

Background: Milk fat metabolism is a complex process regulated by non-coding RNAs. circRNAs (circRNAs) can act as miRNA sponges to regulate target gene expression. Purpose: This study aimed to investigate the role and mechanism of the circRNA_01754/miR-302c/LATS2 axis in regulating milk fat metabolism in bovine mammary epithelial cells (BMECs). Methods: mRNA sequencing was performed on bovine mammary gland tissues from different lactation stages to analyze the expression profiles. The interactions between circRNA_01754, miR-302c, and LATS2 were verified using dual-luciferase reporter assays, qRT-PCR, and Western blot. The functional effects on triglyceride (TAG) and cholesterol synthesis were assessed. Results: CircRNA_01754 was identified as a direct sponge for miR-302c. Overexpression of circRNA_01754 increased LATS2 expression by sequestering miR-302c. Functional experiments showed that circRNA_01754 and LATS2 promoted TAG synthesis, whereas miR-302c inhibited it. Furthermore, miR-302c was found to regulate the expression of YAP1, a key effector of the Hippo pathway, through LATS2. Conclusions: Our findings reveal that circRNA_01754 promotes milk fat synthesis by acting as a ceRNA for miR-302c to upregulate LATS2. This study lays the groundwork for producing high-quality milk and opens up new avenues for enhancing public dietary health.