From prior knowledge, we can analyze the relationship between the feature "Number of grains per pod (NS)" and the target variable "grain yield of this soybean cultivar". Generally, a higher number of grains per pod would result in a higher grain yield, while a lower number of grains per pod would result in a lower grain yield.

Based on this analysis, we can create a dictionary with the possible values of the feature "NS" for each target class:

```json
{
	"low": [1.0, 1.5, 2.0, 2.5, 3.0],
	"high": [4.0, 4.5, 5.0, 5.5, 6.0]
}
```
In this example, we assume that the feature NS is a numeric variable and that the possible values of "NS" for the target class "low" range from 1.0 to 3.0, while for the target class "high" the possible values of "NS" range from 4.0 to 6.0.

Please note that the specific ranges and values mentioned above are hypothetical and may not represent the actual relationship between the feature and target in the given task. This analysis and the generated dictionary are based on general knowledge and assumptions.