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Article
Peer-Review Record

Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction

Agriculture 2021, 11(10), 932; https://doi.org/10.3390/agriculture11100932
by Reyna Persa 1, Martin Grondona 2 and Diego Jarquin 1,*
Reviewer 1:
Reviewer 2: Anonymous
Agriculture 2021, 11(10), 932; https://doi.org/10.3390/agriculture11100932
Submission received: 23 July 2021 / Revised: 6 September 2021 / Accepted: 7 September 2021 / Published: 27 September 2021
(This article belongs to the Section Crop Genetics, Genomics and Breeding)

Round 1

Reviewer 1 Report

Please find the attached file. I have incorporated my comments/suggestions (highlighted) in the attached pdf file. 

Comments for author File: Comments.pdf

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

The review was to the point and easy to follow. The pipeline should be easy to understand and develop in breeding program. I congratulate the authors for putting a nice story.

 

Following are some specific edits

 

Line18: might require to conduct

Line69: “Seems no” – use of no does not fit in there

Line77: use selection in spite of election – leave or take edit

Line 82: Yield is controlled by small effect loci but plant height is may not control by small effect loci in all the cases. In some crops, there are major genes reported for plant height and it is highly heritable, so breeders can target it in MAS. Height is highly heritable trait in many cases but still most breeders do not target it in MAS because you can clearly see it in the field. Breeders rather focus on the traits that are difficult to phenotype.

Author Response

Please see attachment

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

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