Breeding programs generate vast amount of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi-environment analyses and genomic selection. This research work describes the process of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice (Oryza sativa L.) breeding program, and the features and structure of the resulting database.

Breeding programs generate vast amounts of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi-environment analyses and genomic selection. This dataset is the result of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice breeding program. All the available data from 1997 to 2020 corresponding to field trials, blast nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines are gathered.

Rotational rice systems, involving pastures, other crops and/or livestock, are common in temperate South America, exemplified by the rice-pasture-livestock system of Uruguay which combines very high rice yields with tight nitrogen (N) balances. The generally good nutrient use efficiency in these systems provides a template for nutrient management in other mixed farming systems, if the underlying processes can be sufficiently well quantified and understood.

Biological nitrogen fixation contributes greatly to the sustainability of agroecosystems. However, more information is needed about the impact that agricultural intensification, a frequent practice nowadays, would have on diazotrophic communities associated with plants. This work addresses the influence of intensifying rice cropping systems on the abundance, diversity, and structure of diazotrophic communities associated with rice roots (rhizospheric and endophytic bacteria) from a field experiment.

British and Northern Irish agri-food systems are faced with the challenge of reducing their supplychain emissions of greenhouse gases (GHGs) such as nitrous oxide (N2O), carbon dioxide (CO2) and methane (CH4) in line with the UK's ambition of achieving a cross-sector 'net zero' economy by 2050. Approximately 10% of the GHG emissions are generated by agriculture, and approximately 56% of these GHGs are generated by livestock in the form of CH4 from enteric fermentation (eructation primarily) and manure management (i.e., storage and subsequent application as an organic fertiliser).

It is unclear to what extent and on which variables does supplementing beef cattle on native grasslands affect sward structure, specifically on the dynamics of its grazing horizons.