```json
{
	"low": [15.0, 16.5, 17.2, 13.8, 14.6],
	"high": [25.1, 23.8, 26.0, 24.6, 22.9]
}
```
In this case, the relationship between the feature "NS" (Number of grains per pod) and the target variable "grain yield" can be analyzed as follows:

1. Low grain yield: The typical values for feature NS in the low grain yield category are around 15.0, 16.5, 17.2, 13.8, and 14.6 (all values are approximate). This indicates that soybean cultivars with a smaller number of grains per pod tend to have lower grain yield.

2. High grain yield: The typical values for feature NS in the high grain yield category are around 25.1, 23.8, 26.0, 24.6, and 22.9 (all values are approximate). This suggests that soybean cultivars with a larger number of grains per pod tend to have higher grain yield.

Please note that these values are based on hypothetical examples and your actual analysis may differ based on the specific dataset you are working with.