Institut Agro

Jan 7, 2025 | nph.onlinelibrary.wiley.com | Alexandre Bouille |Université de Lorraine |Institut Agro |Romain Larbat

Data availability Nucleotide sequences coding for CYP71B129, CYP71B130 and CYP71B131a are openly available on EnsemblPlants (https://plants.ensembl.org/index.html) under accession nos. FCD_00002714, FCD_00002719 and FCD_00002721 from the genome assembly UNIPI_FiCari_1.0.

Nov 25, 2024 | iwaponline.com | Institut Agro |Université Clermont Auvergne

environmental impact, French vertical flow wetland, life cycle assessment, mass balance, wastewater treatment, water management Nature-based solutions (NBS) are approaches that use natural processes and ecosystems to address various environmental, social, and economic challenges (European Commission 2015).

Nov 23, 2024 | academic.oup.com | Universite Montpellier |Institut Agro

The development of sensors is opening new avenues in several fields of activity. Concerning agricultural crops, complex combinations of agri-environmental dynamics, such as soil and climate variables, are now commonly recorded. These new kinds of measurements are an opportunity to improve knowledge of the drivers of crop yield and crop quality at harvest.

Oct 26, 2024 | academic.oup.com | Université Laval |Institut Agro

Nitrogen (N) excretion and emissions can be reduced in fattening pigs by reducing dietary crude protein (CP) level. Effects of this strategy are well documented for moderate CP reduction, but little literature exists on further CP reduction made possible by free isoleucine, histidine, and leucine. This trial evaluated the effects of two levels of reduction in CP on growth performance, N balance, and gaseous emissions.

Jun 24, 2024 | academic.oup.com | Univ Montpellier |Institut Agro

Gene Regulatory Networks (GRNs) are traditionally inferred from gene expression profiles monitoring a specific condition or treatment. In the last decade, integrative strategies have successfully emerged to guide GRN inference from gene expression with complementary prior data. However, datasets used as prior information and validation gold standards are often related and limited to a subset of genes.