The Agricultural Genome to Phenome Initiative (AG2PI): creating a shared vision across crop and livestock research communities

• Published in: Genome Biology Vol. 23; no. 1; p. 3
• Main Authors: Tuggle, Christopher K, Clarke, Jennifer, Dekkers, Jack C M, Ertl, David, Lawrence-Dill, Carolyn J, Lyons, Eric, Murdoch, Brenda M, Scott, Nicole M, Schnable, Patrick S
• Format: Journal Article
• Language: English
• Published: England BioMed Central 03-01-2022; BMC
• Subjects: Agricultural production; Agriculture; Animals; Big Data; Biology; Crops; Dairy cattle; Data science; Digestibility; Emissions; Engineering; Farms; Genetics; Genomes; Genomics; Genotype & phenotype; Genotypes; Greenhouse gases; Growth models; Livestock; Phenotypes; Scientists; Society; Sustainability; United States > US
• ISSN: 1474-760X; 1474-7596; 1474-760X
• DOI: 10.1186/s13059-021-02570-1

Towards these ends, this AG2PI project is organizing virtual field days, conferences, training workshops, and awarding seed grants to conceive new insights (details at www.ag2pi.org). Since October 2020, more than 10,000 unique participants from every inhabited continent have engaged in these activities. Collaboration with agricultural scientists can focus such engineering and big data analytical approaches on analysis of phenotypes and environmental data that will facilitate an understanding of gene function and address fundamental problems of agricultural productivity and sustainability. [...]crop genotypes have the potential to affect livestock phenotypes through their use as feed (e.g., increased digestibility of silage enhances efficiency and sustainability of livestock production while potentially reducing greenhouse gas emissions). When an advancement develops in a specific life science research area, there is often a lag before it is translated and adapted by other communities. [...]there is a unique and timely opportunity to address these challenges by bringing together the crop and livestock G2P research communities to share best practices, identify common analytical pain-points, and co-develop solutions.