Data or statistical facts on the situation and perspectives of agri-food systems and the impact of policies
A study of 159 Gyr crossbred dairy cows under tropical conditions in Peru compared two estrus synchronization protocols (conventional PC9 vs. extended J-Synch6) for follicular timed induction (FTAI) and evaluated their relationship with heat stress index (THI) in seven critical phases of the program. Both protocols showed similar estrus and pregnancy rates, but J-Synch6 produced larger preovulator...
State support for the Peruvian agricultural sector (2019–2022) is analyzed using the OECD methodology (PSE and GSSE), quantifying subsidies, general services, and competitiveness programs, and linking them to the sector's GHG emissions. It assesses its consistency with the NDCs and the National Agricultural Policy 2021–2030, highlighting the need to reorient incentives towards climate-smart an...
The study analyzes local development in the Quevedo canton (Ecuador) based on the strengthening of its agricultural production chains, combining a review of scientific literature and a territorial diagnosis. It identifies the structural conditions, levels of association, and degree of commercial integration of the main crops (bananas, rice, cocoa, African palm, and tropical fruits) revealing an un...
This study phenotypically characterizes 74 wild accessions of Myrciaria dubia (camu camu) from the INIA ex situ germplasm bank to identify variability relevant for genetic improvement, conservation, and sustainable use programs. Morphological, physical, and fruit quality characteristics were evaluated, revealing a wide diversity that can be used to select genotypes with higher yield and quality Im...
This study assessed the use of coffee by-products (mucilage, pulp, and yogurt) as starter cultures in semi-wet fermentation. Significant sugar reduction and enhanced formation of desirable aromatic compounds raised the cup score from 84 (control) to 86.7, qualifying it as specialty coffee (Díaz Medina, J. A. et al., 2024).
Building towards the goal of zero hunger, the food and agriculture sector must be considered when designing nutritional interventions (Duncan et al., 2022).
The study conducts a comprehensive review of the use of predictive models to strengthen food security in Latin America, with an emphasis on Colombia. It analyzes 65 studies published between 2014 and 2024 that apply algorithms such as Random Forests and Neural Networks to anticipate agricultural yields, manage climate risks, and optimize resources. The results show that agricultural, climatic, and...
