Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Agricultural Literacy in Artificial Insemination and Agribusiness Management for Social Innovation in Rural Populations Affected by Armed Conflict in Colombia

Version 1 : Received: 30 September 2022 / Approved: 4 October 2022 / Online: 4 October 2022 (10:29:11 CEST)
Version 2 : Received: 15 September 2023 / Approved: 18 September 2023 / Online: 19 September 2023 (07:57:52 CEST)

A peer-reviewed article of this Preprint also exists.

Lenis, Y.Y.; Montgomery, A.J.; Carrillo-González, D.F.; González-Palacio, E.V.; Barrios, D.; Elmetwally, M.A. Agricultural Literacy in Artificial Insemination and Agribusiness Management for Social Innovation in Rural Populations Affected by Armed Conflict in Colombia. Frontiers in Sustainable Food Systems 2024, 7, doi:10.3389/fsufs.2023.1254261. Lenis, Y.Y.; Montgomery, A.J.; Carrillo-González, D.F.; González-Palacio, E.V.; Barrios, D.; Elmetwally, M.A. Agricultural Literacy in Artificial Insemination and Agribusiness Management for Social Innovation in Rural Populations Affected by Armed Conflict in Colombia. Frontiers in Sustainable Food Systems 2024, 7, doi:10.3389/fsufs.2023.1254261.

Abstract

Artificial insemination (AI) is considered as the most efficient feasible tool to improve the dairy cows’ profitability and productivity. In bovines, AI helps to promote genetic improvement and can positively impact the rural economy. The achievement of education in rural populations was one of the Millennium Development Goals (MDGs), made by the United Nations. During the last World Summit on Sustainable Development (WSSD), it was concluded that most of the world’s poor, illiterate and undernourished population lives in rural areas; therefore, access to education is considered one of the greatest challenges for governments in countries with developing economies. To determine the effects of a theoretical-practical training program related to rural management and leadership, AI, and bovine genetic improvement, on the perception and level of knowledge in a rural Colombian population that has been affected by the armed conflict. Phase 1. Included the practical and theoretical training of undergraduate animal sciences students in three dimensions rural management; leadership (D-ML), AI in bovines (D-AI), and genetic improvement (D-GI) after training students were evaluated and selected according to their skills, characteristics, solidarity skills, and their social sensitivity was identified. Phase 2. Included the socioeconomic characterization and training of rural residents by students and field experts in three dimensions D-ML, D-AI, and D-GI. After training we evaluated the perception and level of knowledge before and after training in 63 rural residents using an evaluative instrument. The data before and after (post-test) of the theoretical-practical training, were analyzed to obtain a statistical significance. The perception of knowledge in rural residents was low for general knowledge (2.48±0.76, p ˂ 0.05), D-ML (2.89±1.18, p ˂ 0.05) and D-AI and D-GI (2.17±0.83, p ˂ 0.05). On the other hand, before the theorical-practical training the level of general knowledge was 45.9%, however, after the training increased at 77.6% (p<0.01), while the level of knowledge for the D-AI was increased from 38.5 % to 80.6 % (p ˂ 0.05) after training. Regarding the level of knowledge for the D-GI pre-training was 50.8 and increased to 73.0% (p<0.01) then after. Finally, the level of knowledge for the D-ML was increased (p<0.01) from 54.8 before training to 75% after training. Altogether, the rural extension programs contribute to the closing of knowledge gaps in relation to the use of reproductive biotechnologies and bovine management in rural areas affected by armed conflict.

Keywords

bovine; insemination; knowledge; reproduction

Subject

Biology and Life Sciences, Agricultural Science and Agronomy

Comments (1)

Comment 1
Received: 19 September 2023
Commenter: Mohammed Elmetwally
Commenter's Conflict of Interests: Author
Comment: nothing
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