Scheduling Fall Seedings for Cold-Climate Revegetation

Abstract

Revegetating construction sites in the fall requires the scheduling of seeding and mulching for either permanent or dormant seedings. Dormant seedings must be late enough in the fall to prevent germination, while permanent seedings must be early enough to permit seedling establishment and avoid winterkill. A technique for determining optimum seeding dates using growing degree-day curves was developed and tested. Small outdoor plots and buried pots in Hanover, New Hampshire, were seeded with tall fescue at intervals during October 1988 and 1989, respectively, and covered with either straw mulch or a Typar row cover. Soil surface temperatures, germination and growth were monitored into the following springs. Fall or spring germination of fall-sown tall fescue seeds required about 100 GDDs (over 5C), while the development of a second leaf required an additional 70 GDDs. In the experimental plots without any cover, these requirements were met with 12 October and 5 October seedings, respectively; with a Typar cover, seeding dates could be delayed by one week. In pots the greatest spring yields were obtained under Typar at the earliest (5 October) seeding date and the latest dormant seeding date (2 November). Straw mulch applied during the fall had little or no effect on the number of growing degree-days remaining. However, during the following spring, it slowed soil warming and germination of dormant seedings. The appropriate fall seeding date for northern areas can be calculated using a power curve for Hanover, New Hampshire: Julian date = 360 x (GDDs required) to the minus 0.05 power.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1990
Accession Number
ADA229742

Entities

People

  • Antonio J. Palazzo
  • Charles H. Racine
  • Ronald N. Bailey

Organizations

  • Cold Regions Research and Engineering Laboratory

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Temperature
  • Cold Regions
  • Construction
  • Cultural Resources
  • Data Acquisition
  • Determinants (Mathematics)
  • Engineering
  • Heat Energy
  • Intervals
  • Low Temperature
  • Materials
  • New Hampshire
  • Plant Structures
  • Plants
  • Scheduling (Production)
  • Surface Temperature

Fields of Study

  • Agricultural and Food sciences
  • Environmental science

Readers

  • Aquatic Ecology
  • Data Mining and Knowledge Discovery.
  • Wetland-Land-Environmental Management.