Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

333-4 Are Physiology and Phenomics Going to be Phruitful for Breeding.

See more from this Division: C01 Crop Breeding and Genetics
See more from this Session: Crop Breeding & Genetics Oral III : Focus on Phenotyping

Wednesday, October 25, 2017: 8:50 AM
Marriott Tampa Waterside, Florida Salon VI

Scott C. Chapman1, David R. Jordan2, Bangyou Zheng3, Andries Potgieter4, Graeme L. Hammer5, Wei Guo6, Tao Duan7, Barbara George-Jaeggli8, James Watson4, Pengcheng Hu3 and Matthew P. Reynolds9, (1)CSIRO Agriculture and Food, CSIRO, St. Lucia, QLD, AUSTRALIA
(2)The University of Queensland, Warwick, Australia
(3)CSIRO Agriculture & Food, CSIRO, St Lucia, Australia
(4)Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, Australia
(5)The University of Queensland, Brisbane, Australia
(6)International Field Phenomics Laboratory, Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
(7)College of Resources and Environmental Sciences, China Agricultural University, Beijing, China
(8)Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Warwick, Australia
(9)Global Wheat Program, CIMMYT, Houston, TX
Abstract:
Investment in phenomics technologies is rapidly increasing - even some ex-molecular biologists are getting on the bandwagon. The capabilities of these technologies can be impressive, but how do we ensure that this research becomes more than a stamp-collecting exercise. Breeders need to balance resources across their programs and had major challenges in working out how to deploy molecular marker technology to accelerate gain. Statistical and logistical short-cuts (e.g. using pedigree info etc) have helped with this. What kinds of 'short-cuts' can we make in phenomics? For example, our experiences with ground and aerial vehicle phenotyping, mainly in wheat and sorghum, have indicated that we can take some short-cuts in data processing and by using 'in-field' calibration to gain precision that is hard to achieve by relying on better but expensive (in time and cost) methods. Estimating crop height is one example - how can you use UAVs to match the moderate precision required for this trait without taking days to geo-position and process the data. Extracting key adaptation traits using phenomics and using this information to drive crop simulation models can also be used to derive or compute traits that are difficult to measure. This paper explosres some of the ways that we can 'add biological value' to raw phenomics data.

See more from this Division: C01 Crop Breeding and Genetics
See more from this Session: Crop Breeding & Genetics Oral III : Focus on Phenotyping