Now on part 7, this series has so far examined mostly visual clues to bowling green performance. Moving on now to the functional qualities of turf grass that can be used to make a more tangible appraisal of the performance of the green, we start to get to the point where we can make a quantitative appraisal of bowling green performance.
Category: Turf Performance Evaluation
Turf Grass Smoothness and Colour. Performance Evaluation of the Bowling Green Part 6.
In the performance evaluation of the bowling green there are visual and functional measurements we can make to ascertain the likely performance of the green. Colour and Smoothness are the last two visual components we need to look at before moving on to the functional attributes we can measure. On the face of it, colour and smoothness seem like fairly innocuous elements to focus on; almost too obvious you might say. Let's see if they are more important or even different to what we previously thought.
Turf Grass Growth Habit. Performance Evaluation of the Bowling Green Part 5.
So far in this series of articles on the subject of bowling green performance we have used some of the common visual clues to assist in our evaluation of the turf. Today we'll break from that to dig a little deeper into the physiological aspect of the different turf grass species that influence what we see on the surface. Turf Grass Growth Habit can play a big role in the ultimate performance of the bowling green. so let's get started on indentfying the main differences.
Turf Grass Density. Performance Evaluation of the Bowling Green Part 3.
In the performance evaluation of the bowling green, one of the key factors is turf grass density which is important due to its ability to influence other performance factors and in monitoring bowling green and soil health generally.
Turf Grass Uniformity. Performance Evaluation of the Bowling Green part 2.
The Performance Evaluation of the Bowling Green we embarked on last time relies on our ability to appraise a range of factors. Some of these are purely visual, while others are functional and can be quantified more readily. The trick lies in gaining the experience to merge the visual data with likely performance traits. Good old fashioned greenkeeping and the greenkeeper's "feel" for the turf are still as relevant as they've always been. Today we get started on the process of evaluating bowling green performance.