SCANGREEN Turfgrass species and varieties for integrated pest management of Scandinavian putting greens 2023-26

Summary

Testing of new varieties is key to improving turfgrass quality. Today, breeders are focusing on disease resistance and tolerance to abiotic stresses. STERF’s programmes on IPM and ‘Winter Stress Management’ recommend variety evaluation as one of STERF’s most important tasks.

This project is a continuation of SCANGREEN variety testing for the period 2023-2026. The same protocol as in former projects will be used, i.e. assessment on sand-based greens at NIBIO Landvik and Smørum GC in the southern zone and at NIBIO Apelsvoll and Reykjavik GC in the northern zone.

The project will comprise 7-8 species and we expect breeders to enter about 25 new varieties for comparison with the references. Plots will be evaluated monthly and varieties will be ranked for turf quality, winter tolerance, diseases and invasion of moss and Poa annua. The test sites will be used for field days according to a predetermined schedule and results will be communicated at www.sterf.org,  www.scanturf.org and in greenkeeper magazines.

Contact
Karin Juul Hesselsøe

Karin Juul Hesselsøe, NIBIO Landvik, N-4886 Grimstad,  Norway. Tel: + 47 413 96 851 E-mail: karin.hesselsoe@nibio.no

FACTS
Category: Turfgrass
Status: Ongoing
Project period: 2023-2027

Fundings (kSEK)

 

2023

2024

2025

2026

 

Total

STERF

529

669

635

510

 

2343

Other sources

228

47

47

203

 

525

Total

757

716

682

713

 

2868

 

Project objectives

  • To screen in the field and clarify which varieties of Agrostis, Festuca, Poa and Lolium are most winter-hardy, most stress-tolerant and most disease-resistant on putting greens at four experimental sites representing the two major climate zones in the Nordic countries.
  • To create meeting places for discussions between plant breeders, seed companies and greenkeepers in order to encourage variety awareness, integrated pest management and continued efforts into turfgrass breeding for northern environments.