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Approaches and needs of remote sensing in phenotyping for plant breeding


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Remote sensing –Beyond images
Mexico 14-15 December 2013

The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)

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Approaches and needs of remote sensing in phenotyping for plant breeding

  1. 1. Approaches and needs of remote sensing in phenotyping for plant breeding C. Mariano Cossani Wheat Physiology Group- Global Wheat Program
  2. 2. Are breeders using remote sensing? YES!!! Environmental characterization… (Private company, Sunflower breeder) Phenotyping parental lines (crossing block) for physiological traits; (ii) Selection in early generations; (iii) Selection responding to stress/agronomic management … (Private company, Wheat Breeder) Measuring special traits (NDVI and CT)… (CIMMYT, wheat breeder) What do the breeders expect from remote sensing? Better environmental characterization, soil moisture, stress indices Reduced time between acquisition and interpretation of data High through put in the field and in the DATA PROCESSING
  3. 3. A priori requisites for correct phenotyping, and properly interpretation of results Major genes for phenology are not fixed in most experimental wheat populations ● RILs populations typically show a 30+ day range in flowering ● Because growth stages are not equally sensitive to stress, diverse phenology confounds effects of: weather fluctuation soil moisture depletion Rainfall, temperatures
  4. 4. Kukri/RAC-875 DH popln (n=375) has diverse phenology; QTL analysis for yield under stress identifies only PpdB1 & Ppd-D1 2B 5B 2D 3B 7A 7B Mex heat Mex drought RAC drought Minn drought Bool drought
  5. 5. When the population is split in two phenology groups, the true stress adaptive QTL were identified (on 7A, 7B and 3B) Reynolds, Manes, Izanloo, Langridge (2009) Phenotyping for physiological breeding and gene discovery in wheat. Annals of Applied Biology: 155: 309–320 3B 7A Late sub-population •7A on early & late subpops •7B on late pop •3B on early pop 7B 7A Early sub-population
  6. 6. Accurate design and/or definition of the experimental environment Soil characteristics: Soil moisture, Field Capacity, Conductivity, Fertility, if possible monitoring also during the season… stress indices Tools like EM38 could help to do environment characterization
  7. 7. Opportunities Exploring Trait Diversity of Genetic Resources In situ landrace Oaxaca, Mexico K.C. Bansal Director of NBPGR, India ~ 0.5 million accessions of genetic resources in collections worldwide for wheat. The World Wheat Collection at CIMMYT has ~170,000
  8. 8. HTP Tools CT is one of the most useful physiological traits complementing breeding Rapid •10 sec Economical •$100 Effective Selecting for CT in addition to visual selection for plant type, improved the ability to identify the very highest yielding lines
  9. 9. New lines based on physiological trait (PT) criteria
  10. 10. Next Step Aerial remote sensing phenotyping platforms Carotenoids Carotenoids Wax Wax Pigments Ratios Pigments Ratios Fluorescence Fluorescence Biomass/yield Biomass/yield Plant Height Plant Height Intercepted Radiation Intercepted Radiation Photosynthesis Photosynthesis
  11. 11. Thanks for your attention!