AS1017RR EDF

  • Maximize Yields, growing season and harvest window with this Roundup Ready Option
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Product Features

  • Ideal choice for short season silage production
  • Superb forage yields from an early silage, high-moisture corn, offering opportunity in shorter season growing areas
  • Slow grain-drying rate preserves reliable and consistent feed quality at ideal moisture content
  • Strong emergence and aggressive spring vigour
  • A solid fit for beef feedlot operations
  • Tall, uniform plant height
  • Produces consistent ear size with flint kernels on white cob
71-76 RM Range
  • EDF or EDP:
    EDF
  • Mid Flowering (GDU):
    1125
  • CHU:
    2125
  • CHU Range:
    2050-2250

Product Characteristics

Overview

Flowering

  • Early
  • Early Average
  • Average
  • Late

Plant Health

  • Fair
  • Good
  • Very Good
  • Excellent

Emergence

  • Fair
  • Good
  • Very Good
  • Excellent

Spring Vigour

  • Fair
  • Good
  • Very Good
  • Excellent

Drought Tolerance

  • Fair
  • Good
  • Very Good
  • Excellent

Plant Structure

Stalk Strength

  • Fair
  • Good
  • Very Good
  • Excellent

Staygreen

  • Fair
  • Good
  • Very Good
  • Excellent

Root Strength

  • Fair
  • Good
  • Very Good
  • Excellent

Plant Height

  • Short
  • Medium
  • Tall
  • Very Tall

Harvest

Starch

  • Fair
  • Good
  • Very Good
  • Excellent

Crude Protein

  • Fair
  • Good
  • Very Good
  • Excellent

NDFD

  • Fair
  • Good
  • Very Good
  • Excellent

Milk or Beef Tonne

  • Fair
  • Good
  • Very Good
  • Excellent

Ear Type

  • Fixed
  • Semi-flex
  • Flexible

Milk or Beef Acre

  • Fair
  • Good
  • Very Good
  • Excellent

Disease Tolerance

Goss's Wilt

  • Fair
  • Good
  • Very Good
  • Excellent
Product ratings and characteristics are assigned by PRIDE Seeds based on comparisons with other PRIDE Seeds product, not competitor products, through in-house field testing. Performance may vary from location to location and from year to year, as local growing, soil and weather conditions may vary. Growers should evaluate data from multiple locations and years whenever possible and should consider the impacts of these conditions on their fields.