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Maize kernel is an important source of food, feed, and industrial raw materials.
In this study, a novel maize kernel traits scorer (MKTS) was developed for the automatic measurement of 12 maize kernel traits based on line-scan imaging, image processing, and automatic control techniques.
Maize kernel traits such as kernel length, kernel width and kernel number determine kernel weight and, consequently, maize yield.
To this end, a physical model of heat and mass transfer in a maize kernel was designed.
The elucidation of the molecular mechanisms of maize kernel development will be helpful for the manipulation of maize improvements.
Currently, most ethanol produced in the United States is derived from maize kernel, at levels in excess of four billion gallons per year.
The objective of this study was to compare and contrast canonical models of growth and development to determine which provided the best description of maize kernel biomass accumulation.
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The cleft appears to contain maize kernels.
We further sequence the individual embryos and endosperms of 88 maize kernels crossing between regular and inducer lines.
The method scope was expanded to popcorn kernels, white maize kernels and yellow maize grits.
After drying, harvested maize is stored until consumption along with purchased maize kernels from the market.
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