Advanced Agronomy

Cross-examine everything the platform records for your course: weather and your own station, GDD, growth potential, water balance, disease-model indices, work hours, applications and NPK, clippings and HOC, playing-quality measurements and robot fleet activity — all classified into day series. Build custom charts (line, bar, area, dots, normalisation for mixed units, rolling means), correlation matrices with Pearson r on overlapping days, and lag analysis such as rain versus disease pressure three days later. Every series names its source; missing days stay visible as gaps — no estimates, ever.

Search the scientific literature without leaving the platform: over 250 million works indexed by OpenAlex, DOI details from Crossref. Turf topics as starting points (snow moulds, dollar spot, Poa annua, nitrogen, wetting agents, ET, robots, carbon, biodiversity), filters by year, type and open access, abstracts, the course's reading list with notes, tags and links to the tools a study informs, RIS/BibTeX/CSV export, and the papers behind the platform's own models. Citation counts are shown, never used as proof — only graded studies in the research library count as evidence.

The year's agronomic input plan by surface — nutrition, wetting agents, growth regulation, plant protection, seed and soil amendments. Turf condition leads: needs come from the turf, MLSN reserves are validated against the course's own disease, clipping and damage records every time new soil samples arrive, and laboratory or field-crop recommendations are shown, never followed directly. Nitrogen is spread by growth potential, products are chosen by need, stock is used first, and the plan feeds Application Records (demand, planned applications, RFQs) and the Budget Planner without ever overwriting a budget.

What the term meansMLSN (Minimum Levels for Sustainable Nutrition) is a research-based guideline for the lowest sufficient soil nutrient levels for healthy turf. Fertilise to soil-test need — often well below traditional tables, with no loss of quality.

Turn heat accumulation into action rather than another weather statistic. Primo Maxx, wetting-agent, topdressing and nitrogen programmes track GDD since the previous application against a defined application window. Select a base temperature of 0 °C for Nordic seasonal tracking or 6 °C for plant growth regulator applications. Includes a growth-flush warning, custom programmes and location data from the Course Profile.

What the term meansGDD (growing degree days) accumulates daily by how much the mean temperature exceeds a base. Agronomic uses time PGR re-applications, disease risk and germination by heat sum — the plant lives by warmth, not the calendar.

Tournament-week putting-green log: Stimpmeter speed, Clegg hammer firmness (Gmax) and VWC per green and session (AM/NOON/PM) against event benchmarks, with gauges, week trends and a shareable report. Logs maintenance operations (rolling, mowing, mow & roll, double/triple cut, dew removal) per green and session and analyses how they relate to speed and firmness.

Daily risk for eight turf diseases relevant to northern conditions, 7–14 days ahead. Includes the Smith–Kerns and Danneberger ASI equations and indices calibrated for northern conditions. Uses Open-Meteo, the course weather station or manual entry; location can be read from the Course Profile.

What the term meansDisease-pressure models forecast turf disease risk from weather: temperature, leaf wetness and humidity determine when conditions for e.g. microdochium or dollar spot are met. The forecast times prevention to risk, not routine.

Organic matter accumulation and annual sand requirement — GP-weighted programmes, 5-year OM2 projection, traffic-light logic.

What the term meansOM246 measures rootzone organic matter at three depths: 0–2, 2–4 and 4–6 cm. Surface organic matter (thatch) drives green firmness, infiltration and disease pressure — OM246 tracking shows whether aeration and topdressing are keeping it in check.

Spray Mix Calculator with the W·A·L·E·S mixing order, compatibility checks, water quality and jar testing. Uses the same product catalogue as Application Records.

Calculate the surface area impacted by hollow-tine aeration (SAI) and the volume of topdressing sand required to fill the holes (TVC), based on tine dimensions, penetration depth and spacing.

The course map for agronomic decisions, powered by Golfkit's Course Editor: observations and marks located with the phone's GPS, ground-under-repair and closed areas, pin and tee positions attributed by name, distance and area measurement by surface type, and the course's own drone orthophoto, green outlines and pin history when the club is a Golfkit client. Opens full-screen from the platform with no separate login; every change is saved on the map.