PLANT BREEDING PARTNERSHIP: A Metabolic Modeling-Based Strategy to Accelerate the Citrus Genetic Engineering Process

PLANT BREEDING PARTNERSHIP: A Metabolic Modeling-Based Strategy to Accelerate the Citrus Genetic Engineering Process

Authors
James Borneman
Discipline
Biosystems and agricultural engineering
Funder
United States Department of Agriculture
Field
Engineering and Technology
Organization
University of California, Riverside
Location
United States
Description
This DMP aims to collect both non-digital and digital data. The specific forms of data are hand-written observations, images, videos, nucleotide and protein sequences, genome sequences, genome annotations, metabolic models, metabolomics and transcriptomics data, genetic and phenotypic data, media formulations, and plant growth measurements. This data will be used in the aim to improve the economics, productivity, and sustainability of U.S. agriculture by using metabolic models to accelerate the engineering process of all crops.
Date Last Modified
2024
Keywords
agriculture
crops
plant
citrus
genetic
metabolic
sustainability
economic