Field Monitoring for Key Corn Growth Stages & Potential Crop Stress Impact

Some of the prior week’s weather conditions in some locations – above average temperatures and below average precipitation – along with the rainfall of this past weekend, continue to raise questions about the condition of the corn crop at this point of the season. A key factor to understanding the potential impact of any stresses is considering the timing of the stress relative to the stage of crop development.

Intelinair Senior Agronomist Keith Porter shares the following summary of key growth stages and any potential impact to the crop from stresses at this time.

  • While corn is less susceptible to heat and moisture stress during vegetative growth stages than during reproductive crop stages, severe early-season stress conditions can reduce yield potential.
  • Key growth stages of a corn crop which can impact yield potential:
    • V3 – V6 – The nodal root system begins development, becoming the primary source of utilizing soil resources by V6
    • By V6 – All aboveground parts of the corn plant have been initiated – this includes all leaves, ear shoots, and the tassel
    • V5 – V7 – The number of kernel rows around on the ear is established
    • V7 – V11 – The maximum number of potential kernels on the ear is established
  • Plant development during this time frame establishes the size of the overall plant and the size of each leaf. This impacts the total leaf area and photosynthetic capacity of the plant.
  • Use AGMRI to continue to monitor crops for any potential impacts, and review crop plans to be certain to take advantage of opportunities to maintain yield potential, and note the differences in response to any crop stresses by hybrid to aid in product selections for coming seasons.

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Yield Forecast

Understand where your corn yield is based on the current state of the crop. As the season unfolds, see how it is having an impact on your final yield.

Yield Loss

Powered by years of Nitrogen research at the University of Missouri, our corn Yield Loss analytic, powered by NVision Ag, gives insight into potential yield loss due to Nitrogen deficiency. Optional analytic for nitrogen management.

Variable Dry Down

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Understand which fields and which areas of the field are drying down to help plan your harvest logistics.

Underperforming Area

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Not all areas of your fields perform the same and low NDVI doesn’t necessarily mean there is anything you can do to fix it this year. Underperforming Area alerts you to the fields and areas of the fields that are performing below their historical potential. This will allow you to quickly find those fields and areas and make adjustments to get them back on target and protect yield.

Nutrient Deficiency

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As the crop grows, it can tell us more of what is wrong with it. This analytic finds the fields and areas of the fields where there is a nutrient deficiency so that issues can be addressed before grain fill.

Disease Stress

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In conjunction with the Thermal Stress, Disease Stress alert takes into account weather information to more precisely indicate the type of stress impacting the crop.

Thermal Stress

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Using our thermal imagery, AGMRI can detect elevated heat patterns of the crop that indicate crop stress.

Crop Health

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Get a complete view of your farms and fields and identify where yield potential is ranked highest to the lowest.

Weed Map & Weed Escape

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Know what fields and areas of the fields have weeds. With machine integration or based on planting date, be alerted to what fields have weeds that may be impacting yield.

Historical Field Performance

AGMRI creates 5 performance zones in each field based on the historical average of those zones. This data is used to compare the current season to help understand where you are underperforming from the zone potential.

Low Emergence

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Notification of what fields and areas of the field have poor emergence.

Stand Assessment

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AGMRI detects the established rows and uses computer vision and machine learning to determine the best segment of row and compares the rest of the field to that segment to give you a relative map. If machine data is integrated, a stand population map is returned.