Progress 01/01/18 to 12/31/21
Outputs
Target Audience:G2F data generators (maize geneticists and breeders), engineers, computational scientists, and graduate and undergraduate students. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided? A total of 35 graduate students and post-doctoral researchers were exposed to innovative phenotyping technologies and data analyses methods. In addition, they learned by participation in discussion sessions about working in industry and entrepreneurship. The larger community benefitted from streamed presentations coordinated by the AG2PI project. How have the results been disseminated to communities of interest?The presentations at this conference are viewable as live stream video at the project website. The final White Paper was distributed to NIFA and is available at https://figshare.com/articles/G2F_NIFA_FACT_Workshop_High_Throughput_Field-based_Phenotyping_Technologies_for_the_Genomes_to_Fields_G2F_Initiative/7074860. What do you plan to do during the next reporting period to accomplish the goals?
Nothing Reported
Impacts
What was accomplished under these goals?
The overarching goal of this award was to foster the development of more efficient methods for crop breeding to help the challenges facing US agriculture. By bringing together Genome to Fields (G2F) data generators, engineers, data scientists, industry scientists and graduate and undergraduate students, this project sought to address this goal by creating opportunities for the integration of research and technologies, the diffusion of similar integration models on campuses across the US and the training and recruiting into the maize research community the next generation of researchers and breeders. We successfully conducted the proposed conference and produced the corresponding deliverables. We were planning to use some of the funds to conduct additional seminars or workshops to expose the agricultural genomes to phenomes (AG2P) community to experts in statistics, modeling and machine learning/AI. We anticipated that speakers would travel to ISU where they would present high-level introductions to new technologies and methods of data analysis available in their fields and that these seminars would be streamed/recorded for broadcast to the larger community.However, due to COVID-19, it was not possible to have in-person seminars.Considering the similarity of the goals, we obtained NIFA's permission to use residual funding from 2018-67013-27389 to support the project activities outlined in our recent AG2PI award (award number 2020-70412-32615), which has similar but larger-scale goals. This additional exposure of the G2F community to new approaches and technologies broadened the impact of this award. Objectives: 1. Aconference will be held on January 28-30, 2018 at The Gateway Hotel and Conference Center in Ames, IA, to promote the development of more efficient methods for crop breeding. The conference was held on the scheduled dates with a total of 81 registered attendants including 25 faculty members, 30 graduate students, 3 Post-Doctoral Researchers, 7 industry scientists/participants, 11 staff scientists and 5 scientist managers from ISU, NIFA and Iowa Corn Growers Association. Additional local students and scientist attended without formal registration. 2. At the conclusion of the conference the G2F executive committee will prepare a white paper that will focus on new phenotyping technologies and analysis approaches available to the G2F community and an identification of technology and analysis gaps. The white paper is available on project website (see product section). Four themes emerged as areas ripe for focused effort in the coming years: (1) support for ongoing community experiments; (2) development and use of field sensors and plant imaging platforms, (3) creation of data management, sharing, and analytics platforms especially for making effective use of large-scale image sets, and (4) engaging additional scientific disciplines in G2F and training the next generation of agricultural scientists. The group also made recommendation of several High-Intensity Phenotyping Sites (HIPS) that can be embedded withing the G2F network to further promote the advancement of research in these four areas. 3. To broaden exposure of maize and other crop experts to new approaches and technologies from the livestock genome to phenotype community by supporting project activities of our AG2PI award (2020-70412-32615). The remaining funds from of this award were used to partially support staff who facilitated exposure of experts working with maize and other crop species to novel approaches and technologies from the livestock genome to phenotype community. Detailed activities of the AG2PI award are available at: https://www.ag2pi.org/project-summary/.
Publications
- Type:
Websites
Status:
Published
Year Published:
2018
Citation:
https://www.genomes2fields.org/meetings/2018-nifa-fact/
- Type:
Other
Status:
Published
Year Published:
2018
Citation:
High Throughput, Field-Based Phenotyping Technologies for the Genomes to Fields (G2F) Initiative White Paper
https://www.genomes2fields.org/meetings/2018-nifa-fact/
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Progress 01/01/20 to 12/31/20
Outputs
Target Audience:
Nothing Reported
Changes/Problems:We started the planning of the proposed workshop/seminars in early 2020 but all activities were halted after the shelter-at-home directive was announced due to the COVID-19 pandemic in March, 2020. All in-person meetings are suspended until further notice and we were not able to continue as proposed.We requested a 12-month extension and revised our approach to achieve project goals. What opportunities for training and professional development has the project provided?
Nothing Reported
How have the results been disseminated to communities of interest?
Nothing Reported
What do you plan to do during the next reporting period to accomplish the goals?We are now working to expose experts working with maize and other crop species to novel approaches and technologies from the livestock genome to phenotype community via virtual platforms. Such exposure will broaden the impact of this project.
Impacts
What was accomplished under these goals?
We continued to explore interest of topics and solicit recommendations of candidate speakers for the conference/workshop at the beginning of the year. These activities were suspended after the breakout of the COVID-19 pandemic as we were uncertain when we may be able to host the proposed in-person conference/workshop.
Publications
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Progress 01/01/19 to 12/31/19
Outputs
Target Audience:G2F data generators (maize geneticists and breeders), engineers, computational scientists, and graduate and undergraduate students. Changes/Problems:Due to novelty of this approach, we need more time to identify suitable speakers and complete these goals. Our request for no cost extension has been approved by Porgram ManagerEdwardKaleikau, as of on 12/5/2019. We are in the pocess to finalize this NCE with the Award Management at NIFA. What opportunities for training and professional development has the project provided?
Nothing Reported
How have the results been disseminated to communities of interest?
Nothing Reported
What do you plan to do during the next reporting period to accomplish the goals?We plan to host seminar series or a short workshop and invite experts in statistics, modeling and machine learning/AI. Instead of speaking only about their specific research projects invitees will be asked to discuss their FIELDs of research and offer new ways to analyze data. These presentations will be broadcasted over the Internet and saved for on-demand downloading.
Impacts
What was accomplished under these goals?
In accordanceto the goalto invite experts in statistics, modeling and machine learning/AIfor the next workshop, we have been soliciting feedback from the research community on campus and through various work groups at professional conferences to identify speakers with both relevant expertise and ability and willingness to present broad seminars. We identified areas of interest and several potential candidates. We are in the process of extending invitations to speakers and planning the conference.
Publications
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Progress 01/01/18 to 12/31/18
Outputs
Target Audience:G2F data generators (maize geneticists and breeders), engineers, computational scientists, and graduate and undergraduate students. Changes/Problems:We requested a one-year no-cost extension and will host a seminar series focused on innovative data analyses methods and tools. What opportunities for training and professional development has the project provided?A total of 35 graduate students and post-doctoral researchers were exposed to innovative phenotyping technologies and data analyses methods. In addition, they learned by participation in discussion sessions about working in industry and entrepreneurship. How have the results been disseminated to communities of interest?The presentations at this conference are viewable as live stream video at the project website. The final White Paper was distributed to all authors and NIFA, and is available at https://figshare.com/articles/G2F_NIFA_FACT_Workshop_High_Throughput_Field-based_Phenotyping_Technologies_for_the_Genomes_to_Fields_G2F_Initiative/7074860. What do you plan to do during the next reporting period to accomplish the goals?We plan to host seminar series and invite experts in statistics, modeling and machine learning/AI. Rather than focusing on their own research, speakers will be encouraged to speak about how their fields of research could contribute to the analysis of phenomic data. These presentations will be broadcasted over the Internet and saved for on-demand viewing.
Impacts
What was accomplished under these goals?
Overall impact statement: The U.S. has long played a leading role in developing advanced agricultural technology. We must continue to develop novel approaches to increase the production of food, fiber and fuel while protecting our natural resources and ensuring an economically vibrant agriculture sector. The Genomes to Fields (G2F) Initiative strives to take advantage of new technologies to improve the productivity and stability of maize. In particular, this initiative seeks to connect advances in our understanding of crop genomes with new robotics, high-throughput sensing technologies, and other data gathering devices to understand how plant traits are influenced by genetics and the environment with a long-term aim of developing crops that will exhibit sustainable enhanced productivity across diverse sets of environments and years. In January 2018, G2F hosted a NIFA-supported meeting in Ames, Iowa, increasing knowledge of needed trajectories for research in field-based phenotyping and how best to support those trajectories, and informing USDA NIFA and other federal agencies of our findings and conclusions. For four years, a distributed network of G2F field sites and public-sector collaborators has been generating the data needed to develop predictive models. Generating a vibrant community of researchers from diverse disciplines including the breadth of the plant sciences (e.g., genetics, agronomy, physiology, modeling, and breeding), engineering, computational sciences, and climatology) continues to be critical to the full success of the initiative. Objective 1... Aconference will be held on January 28-30, 2018 at The Gateway Hotel and Conference Center in Ames, IA, to promote the development of more efficient methods for crop breeding. The conference was held on the scheduled dates with a total of 81 registered attendants including 25 faculty members, 30 graduate students, 3 Post-Doctoral Researchers, 7 industry scientists/participants, 11 staff scientists and 5 scientists managers from ISU, NIFA and Iowa Corn Growers Association. Additional local students and scientist attended without formal registration. Objective 2... At the conclusion of the conference the G2F executive committee will prepare a white paper that will focus on new phenotyping technologies and analysis approaches available to the G2F community and an identification of technology and analysis gaps. Many topics were discussed over the course of the three-day workshop, but four themes emerged as areas ripe for focused effort in the coming years: (1) support for ongoing community experiments; (2) development and use of field sensors and plant imaging platforms, (3) creation of data management, sharing, and analytics platforms especially for making effective use of large scale image sets, and (4) engaging additional scientific disciplines in G2F and training the next generation of agricultural scientists. It was suggested that these topics were of interest to advance not only the goals of the G2F initiative, but also the field of predictive plant phenomics more generally. The group supported the idea to enhance coordination efforts across all four themes by designating and/or creating a number of High-Intensity Phenotyping Sites (HIPS) where individualized research areas and local expertise could develop alongside intentional, coordinated linkages focused on advancing topics within the four shared themes. While community experiments are necessarily extensive, these HIPS experiments can be embedded within the G2F testing network and allow for more intensive investigation and development of predictive phenomics tools. Tools and learnings from the HIPS could then be deployed more broadly.
Publications
- Type:
Other
Status:
Other
Year Published:
2018
Citation:
High Throughput, Field-Based Phenotyping Technologies for the Genomes to Fields (G2F) Initiative White Paper.
https://figshare.com/articles/G2F_NIFA_FACT_Workshop_High_Throughput_Field-based_Phenotyping_Technologies_for_the_Genomes_to_Fields_G2F_Initiative/7074860
- Type:
Websites
Status:
Published
Year Published:
2018
Citation:
https://www.genomes2fields.org/meetings/2018-nifa-fact/
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