Next Article in Journal
Resistance Profile of Bovine Mastitis Isolates, Presence of the mecA Gene and Identification of ESBL Producing Strains from Small Rural Dairy Properties
Next Article in Special Issue
Classification of Daily Body Weight Gains in Beef Calves Using Decision Trees, Artificial Neural Networks, and Logistic Regression
Previous Article in Journal
Tramadol Administered Intravenously Either as a Bolus or a Slow Injection in Pain Management of Romifidine-Sedated Calves Undergoing Umbilical Hernia Repair
Previous Article in Special Issue
Estimation of Body Weight Based on Biometric Measurements by Using Random Forest Regression, Support Vector Regression and CART Algorithms
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Animals
Volume 13
Issue 7
10.3390/ani13071146
Review Report
animals-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Communication
Peer-Review Record

Using Multivariate Adaptive Regression Splines to Estimate the Body Weight of Savanna Goats

Animals 2023, 13(7), 1146; https://doi.org/10.3390/ani13071146
by Lebo Trudy Rashijane 1,2, Kwena Mokoena 1 and Thobela Louis Tyasi 1,*
Reviewer 1:
Federica Raspa
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Animals 2023, 13(7), 1146; https://doi.org/10.3390/ani13071146
Submission received: 20 January 2023 / Revised: 16 March 2023 / Accepted: 22 March 2023 / Published: 24 March 2023
(This article belongs to the Special Issue Data-Mining Methods Applied to Livestock Management)

Round 1

Reviewer 1 Report

Dear authors, thank you for your submission, the manuscript is interesting but I suggest some integrations in the attached file

Comments for author File: Comments.pdf

Author Response

Dear Editor 

Kindly find the attachment for responding to the reviewers comments.

Author Response File: Author Response.docx

Reviewer 2 Report

Present paper reports an investigation of the influence of linear body measurements on the body weight of Savanna goats using MARS thought the analysis of 150 Savanna goats.

The paper is complete, well-structured and fully documents the procedure of measurements and statistical analysis of the collected data. It has a set of errors and typos that are noted in the attached file.

 

The introduction section must contain a paragraph defining the structure of the paper.

Acronyms (BW, BL, HD) are defined several times in the text. 

Despite reporting several times that sick and pregnant animals were excluded from the study, the phases of the gestational cycle in which each of the animals are found are not defined. This could help identify weight variations due to this possible mismatch.

The end of section 2 contains a set of equations derived from the model (MARS) without any explanatory text. They must be removed or explained.

Several paragraphs should be rewritten (Lines 200-206, 216-222), in order to make text easier to read/understand.

Conclusions are too short.

Comments for author File: Comments.pdf

Author Response

Dear Editor 

Kindly find the attachment as the response to the reviewers comments. 

Author Response File: Author Response.docx

Reviewer 3 Report

The manuscript investigates the influence of linear body measurements on the body weight of Savanna goats using multivariate adaptive regression splines (MARS). It is an interesting paper; however, I found some text mistakes that need correction. Please check the attached file.

In the section Material and Methods, please specify how you get to Figure 1 (Model selection graph for optimal MARS model).

Comments for author File: Comments.pdf

Author Response

Dear Editor 

Kindly find the attachment for the response to the reviewer 3 comments.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

Dear authors, the manuscript was revised however some points are not fully addressed:

the discussion must be improved and deeper

the practical implications are not sufficient reported

limitations of the study are missing

the model is not well described

attached the file with my specific comments

Comments for author File: Comments.pdf

Author Response

Dear reviewer 

Many thanks for the suggestions for improving our manuscript. We addressed all the comments to improve our manuscript. Kindly find the attachment for the response to your comments.

Many thanks. 

Author Response File: Author Response.docx

Back to TopTop