Immature ear photometry in maize
US-9335313-B2 · May 10, 2016 · US
US9933405B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9933405-B2 |
| Application number | US-201615093785-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 8, 2016 |
| Priority date | Dec 30, 2011 |
| Publication date | Apr 3, 2018 |
| Grant date | Apr 3, 2018 |
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Methods for evaluating one or more immature ears of maize are presented in which digital imagery and image processing are used to assess physical properties of immature maize ears that are correlated with yield and other yield-related traits. Also provided are methods for identifying leads using immature ear photometry.
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What is claimed is: 1. A method for high-throughput analysis of the effect of a transgene of interest on yield or a yield related trait in maize comprising: a. providing a population of transgenic maize plants grown in a controlled environment setting; b. acquiring a digital image of at least one immature maize ear from at least two of the transgenic maize plants in the population; c. processing the digital images using binary segmentation; d. calculating a mean or median value of at least one physical property and the coefficient of variation for the population of transgenic maize plants; and e. performing a statistical test to determine if there is a significant difference between a transgenic maize plant and the population of transgenic maize plants for at least one physical property. 2. The method of claim 1 , wherein the yield related trait is selected from the group consisting of: biomass, nitrogen stress tolerance, and drought tolerance. 3. The method of claim 1 , wherein the digital image is acquired using an image sensor. 4. The method of claim 3 , wherein the image sensor is selected from the group consisting of: a charge coupled device (CCD) image sensor, a digital camera, a video camera, a color sensor, a laser/light beam sensor, an X-ray scanner/sensor, and an ultrasonic sensor. 5. The method of claim 3 , wherein the digital image acquired using an image sensor is acquired under controlled lighting conditions. 6. The method of claim 3 , wherein the digital image acquired using an image sensor is acquired using algorithmic or manual determinations of lighting conditions. 7. The method of claim 3 , wherein the image sensor is configured to image one or more immature ears in their entirety or smaller subsections of one or more immature ears. 8. The method of claim 1 , wherein the digital image is acquired by scanning an analog image. 9. The method of claim 1 , wherein the at least one physical property of the at least one immature ear is area, length, width, perimeter, color, silk count, spikelet number, size distribution, or tapering of the ear. 10. The method of 1 , wherein at least one immature ear is harvested from the at least one maize plant. 11. The method of claim 10 , wherein the harvesting is performed by hand or machine. 12. The method of 1 , wherein the population of transgenic plants is a fast cycling uniform maize line. 13. The method of claim 1 , wherein the transgenic maize plants are grown under nitrogen and/or water limiting conditions. 14. The method of claim 1 , wherein the digital images are acquired non-destructively. 15. A method of evaluating an immature ear of a maize plant to assess the effect of a transgene or a recombinant nucleic acid construct on seed yield in the maize plant, the method comprising acquiring a digital image of the immature ear of the maize plant, wherein the immature ear is not physically removed from the maize plant and analyzing the digital image to assess the effect of the transgene or the recombinant nucleic acid construct on seed yield. 16. The method of claim 15 , wherein the transgene is overexpressed. 17. The method of claim 15 , wherein the recombinant nucleic acid construct is an RNAi construct.
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