DOI: 10.5061/dryad.kwh70rzk7
title: The global peace and food security; a case study of the Global South and the South Pacific Island nations; the need for affordable wheat and grain supply

description: Most countries in the Global South, Africa, and Pacific Islands have
 irregular rainfall patterns, with strains of El Niño patterns causing
 severe food shortages. Plant breeding on grains is non-existent in Pacific
 Island nations, and the main staple foods are imported rice and wheat,
 although their prices are exorbitant. Food labelling and marketing of
 affordable energy grains from conventional and mutational plant breeding
 programs are fundamental for producers and consumers to establish in the
 global food trade. A new paradigm shift in the agrifood system was
 modelled to accompany energy alone food aid from the regions of the wheat
 and grain producing countries, deviating from the recent bio-fortification
 race. Main attentions are stressed on plant breeding and agronomic
 practices to secure food security but however food losses from different
 factors along the way from farm to fork have most times being neglected.
 The data on food loss is sourced from FAOSTAT 2022(top 10 crop species
 from regions), recorded from 2000-2022. The factors of food losses are
 manageable through stringent policy frameworks by field experts and
 stakeholders. 
description: # The global peace and food security; a case study of the Global South and
 the South Pacific Island nations; the need for affordable wheat and grain
 supply Dataset DOI:
 [10.5061/dryad.kwh70rzk7](https://doi.org/10.5061/dryad.kwh70rzk7) ##
 Description of the data and file structure Records of food loss and their
 contributing factors are analyzed in this data. The data is extracted from
 FAOSTAT2022(2000-2022). The data was used mainly to assess the plant
 breeding stress from the bio-fortification of nutrients. The data found
 significant food losses without characters in critical areas of field
 specializations. The data is however readable by Scholars studying factors
 of food losses. ### Files and variables #### File:
 Food_Loss__Top_ten_by_country.csv **Description:** Data recorded from
 column down as per headings ##### Variables/Columns * Column A; code of
 country * Column B; country where food loss measured * Column C;
 region/specific location(Empty spaces means no data available) * Column D;
 code of commodities * Column E; commodity recorded * Column F; year data
 collected/published * Column G; loss_percentage(%) * Column H;
 loss_percentage(%)_original * Column I; loss_quantity(kg/MT)(Empty space
 mean no data available) * Column J; activity(Empty space mean data not
 available) * Column K; food_supply_stage(Empty space mean no data
 avialable) * Column L; treatment(Empty space mean not data avialable) *
 Column M; cause_of_loss(Empty space mean no data avialable) * Column N;
 sample_size(Empty space mean no data available ) * Column O;
 method_data_collection * Column P; reference * Q; * R; notes: ##
 Code/software Zenodo https://doi.org/10.5281/zenodo.18707272 ## Access
 information Other publicly accessible locations of the data: *
 [https://www.fao.org/platform-food-loss-waste/flw-data/en/](https://www.fao.org/platform-food-loss-waste/flw-data/en/) Data was derived from the following sources: * https://doi.org/10.5281/zenodo.18707272