Cereal Ear Counting
Cereal Ear Counting - Related Videos
11:49
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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Cited by 7 •
2019
We present a protocol for counting durum wheat and barley ears, using natural color (RGB) digital photographs taken in natural sunlight under field conditions. With minimal adjustments for camera parameters and some environmental condition limitations, the technique provides precise and consistent results across a range of growth stages.
09:10
Ear Exam
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2023
Source: Richard Glickman-Simon, MD, Assistant Professor, Department of Public Health and Community Medicine, Tufts University School of Medicine, MA This video describes the examination of the ear, beginning with a review of its surface and interior anatomy (Figure 1). The cartilaginous auricle consists of the helix, antihelix, earlobe, and tragus. The mastoid process is positioned just behind the earlobe. The slightly curving auditory canal ends at the tympanic membrane, which transmits sound...
10:19
Using a Hemacytometer to Count Cells
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2023
Many biomedical experiments require manipulation of a known quantity of cells, in order to achieve accurate, reproducible, and statistically-relevant data. Therefore, learning how to count cells is a particularly essential technique for any successful biomedical scientist. The most common way to count cells is by using a hemacytometer - an instrument that bears two laser-etched grids, which aid in the enumeration of an aliquot cells under a simple light microscope. This data can then be used to...
05:47
Counting and Determining the Viability of Cultured Cells
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Cited by 19 •
2008
Determining the number of cells in culture is important in standardization of culture conditions and in performing accurate quantitation experiments. In this video, we demonstrate how cells are counted using a hemacytometer.
06:37
Counting Human Neural Stem Cells
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Cited by 14 •
2007
Knowledge of the exact number of viable cells is required for many tissue culture manipulations. This protocol describes how to differentiate between live and dead cells and quantify cells using a hemacytometer. Although it describes counting human neural stem/precursor cells (hNSPCs), it can be used for other cell types.
FAQs
Because the number of grain-bearing ears reflects cereal stand density within a defined area, ear density can indicate crop development and potential productivity. Standardizing observations to ears per square meter makes results comparable among sampled locations. This supports yield estimation and assessment of how the crop is developing across a field.
Spatial variation matters because a single location may not represent the whole field. Sampling representative quadrats or using measured transects spreads observations across defined portions of the crop, while standardization to ears per square meter allows locations with different sampled areas to be compared. This helps distinguish field-wide patterns from local differences associated with soil, weather, or management.
Repeated counts reveal whether differences in ear density remain stable or change as the crop develops. Comparing observations across times helps assess crop growth and field variability rather than treating one survey as the complete picture. This temporal perspective is useful when evaluating environmental or management influences and determining whether conditions produce consistent stand patterns.
An effective workflow begins by defining the area to be assessed and selecting representative quadrats or measured transects. The observer then counts grain-bearing ears within each sampling unit, records the results, and converts them to a common area basis, typically ears per square meter. Comparing standardized values across locations provides a consistent basis for crop assessment and yield estimation.
Quadrats and transects organize sampling in different spatial ways. A quadrat supplies a defined area for a localized count, whereas a measured transect provides observations along a measured route through the crop. Applying either approach across representative parts of a field helps capture spatial variation and prevents interpretation from relying on one potentially unrepresentative location.
Within environmental studies, ear counts can be compared among field areas exposed to different soil conditions, weather patterns, or management practices. Differences in standardized ear density show how these factors relate to cereal development and potential productivity. The measurements also support sustainable crop-production decisions by revealing field variability that might otherwise be overlooked.