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| Full TGIF Record # 333514 Item 1 of 1 |
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| Web URL(s): | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/151575 Last checked: 12/06/2023 |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Baxter, Ivan |
| Author Affiliation: | Presenting Author and Donald Danforth Plant Science Center, St. Louis, MD |
| Title: | Integrating metabolomics and high throughput phenotyping to understand the response of C4 crops to water deficit |
| Section: | Symposium--advances in plant phenotyping and its applications Other records with the "Symposium--advances in plant phenotyping and its applications" Section C05 turfgrass science Other records with the "C05 turfgrass science" Section |
| Meeting Info.: | St. Louis, Missouri: October 29-November 1, 2023 |
| Source: | ASA, CSSA, SSSA International Annual Meeting. 2023, p. 151575. |
| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
| # of Pages: | 1 |
| Abstract/Contents: | "Plant growth and water use are interrelated processes influenced by the genetic control of both plant morphological and biochemical characteristics. Improving plant water use efficiency (WUE) to sustain growth in different environments is an important breeding objective that can improve crop yields and enhance agricultural sustainability. However, genetic improvements of WUE using traditional methods have proven difficult due to low throughput and environmental heterogeneity encountered in field settings. To overcome these limitations we utilizes a high-throughput phenotyping platform to quantify plant size and water use of populations of the C4 species Setaria viridis and Sorghum Bicolor under water availability contrasts. Leveraged the tight environmental control of the system, we collected samples for extensive untargeted metabolomics to understand the biochemical response of the plants. We have used genome wide association analysis to identify loci controlling the hundreds of physiological traits and thousands of physiological traits. We are leveraging pan genome and transcriptome resources to identify candidate genes for these traits to facilitate targeted improvement of water use efficiency." |
| Language: | English |
| References: | 0 |
| See Also: | See also related item, Integrating Metabolomics and High Throughput Phenotyping to Understand the Response of C4 Crops to Water Deficit, 2023, R=342732.R=342732 |
| Note: | "385-4" This item is an abstract only! |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Baxter, I. 2023. Integrating metabolomics and high throughput phenotyping to understand the response of C4 crops to water deficit. Agron. Abr. p. 151575. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/333514 |
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| Web URL(s) : | https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/151575 Last checked: 12/06/2023 |
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