Assessment of the Aim Characteristics of Strawberry (Fragaria × Ananassa) Cultivars in Estonia by Using the K-Means Clustering Method
Round 1
Reviewer 1 Report
Successfully grouping and comparing cultivar characteristics across large quantities of 265 varieties is not an easy challenge. The manuscript has carried out the assessment of the aim characteristics of 58 strawberry 266 (Fragaria × ananassa) cultivars in Estonia by using the K-means cluster method was a great 267 success. The results indicated that a K-means clus-er method is ideal for clustering strawberry cultivars according to their characteristics. However, there is no any introduction about the K-means cluster method. I suggested that there have a paragraph to introduce the K-means cluster method and its application fields.
In the result, there is no any comparsion with other method for the productivity. So there should be add more reference and discussion the results with other method.
Author Response
Thank you very much for the suggestions. We updated the article and introduced the K-means cluster method. We also add more references using this method (lines 58-70). We see that analyzing the different methods can be a goal in future challenges of new scientific works.
Author Response File: 
Author Response.docx
Reviewer 2 Report
Dear Authors,
Authors aimed to create a new collection of strawberry cultivars and select for breeding and introducing new promising cultivars to produce. To achieve this goal, the following tasks were solved: strawberry cultivars were evaluated and their valuable economic and biological properties were analysed by winter hardiness, yield, fruit size and high taste characteristics of the berries. Strawberry cultivars characterised by a complex of economically valuable properties were identified. Assessment of the aim characteristics of strawberry cultivars was performed by using K-means clustering. However, I think that parts of the study need to be improved significantly. In addition, data on winter hardiness could not be reached in the main text. Please consider the suggestions in the attached file and improve the manuscript for publication.
Comments for author File: 
Comments.pdf
Author Response
Thank you very much for the suggestions. We improved the study by the suggestion of Your attached file, added information about winter hardness and added more references. We hope that the article has become now much better.
Author Response File: Author Response.docx
Reviewer 3 Report
This study is well designed and performed to high standards. I don’t have major concerns about this article.
Author Response
Thank You very much for a great assessment.
Author Response File: Author Response.docx
Round 2
Reviewer 2 Report
Accept in present form
