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Article
Peer-Review Record

Genotype Selection for Grain Yield of Sorghum through Generalized Linear Mixed Model

Agronomy 2023, 13(3), 852; https://doi.org/10.3390/agronomy13030852
by Mulugeta Tesfa 1,2,*, Temesgen Zewotir 3, Solomon Assefa Derese 4, Denekew Bitew Belay 1 and Mark Laing 5
Reviewer 2:
Reviewer 3:
Reviewer 4: Anonymous
Agronomy 2023, 13(3), 852; https://doi.org/10.3390/agronomy13030852
Submission received: 22 December 2022 / Revised: 6 March 2023 / Accepted: 10 March 2023 / Published: 14 March 2023
(This article belongs to the Section Farming Sustainability)

Round 1

Reviewer 1 Report

Overall, the manuscript looks good. In the methodology part, tremendous analysis has been done, but the explanation written for each analysis is not perfect.  

 

Modification needed

The last paragraph has to be rewritten and remove the numbers used in between the sentences. The core objective of the work has to be explained in the paragraph.

The explanation written for table 2 is to be changed. No proper punctuation has been used.

Replace figure 3 with a clear image.

The entire manuscript has to be verified thoroughly for punctuation and grammatical errors.

The legend for each table has to be rewritten to get better clarity.  

Author Response

I attached the revised manuscript and response for the revision. See the following document

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear Editor,

 

The new referee report you requested is attached containing the questions and answers you want,

 

Respects.

 

Review Report(Journal of agronomy -mdpi--Manuscript ID Number-agronomy-2146259)

 

Article title:         Genotype selection for Grain yield of Sorghum through Generalized Linear Mixed Model

 

Possible questions and answers about the article:

 

1. What is the main question addressed by the research?

 

                In the article, the  illustrates, necessary properties, definitions and theorems in finding variationality- structural features of a special “Linear Mixed Model” structure modelling are characterized “Random effect” model equations (based Linear Mixed Model mapping and between maps of possibly different non-compact pointed appropriate spaces as The result of PCA from Sorghum).

 

2. Do you consider the topic original or relevant to the field? Does it address a specific gap in the field?

 

                This topic fills the specific gap in characterizing the original “physical-algebraic and non-normality maps , applied mathematics, Linear Mixed Model representation approach, comparative analysis, Distances in Stability Theory” model issue in applied science fields (Mathematical modeling and Genotype performance-relational point theory).

 

3. What does it add to the subject area compared with other published material?

 

                The compared with other published material,there are adding “in determining special approach field, sufficient conditions for a special equation and its contents to be the modelling with among special the physical and space properties of the non-normality structures on the connected Linear Mixed Model approach theory” the subject area(under modified Full-Linear Mixed Model and with combining the Random effect appropriate  with the locally design distance to obtain the pointed design-Fulldistance between maps of possibly different non-compact pointed appropriate spaces and under Gamma distribution and from Sorghum).

 

4. What specific improvements should the authors consider regarding the methodology? What further controls should be considered?

 

                Authors can improve by developing new aspects of a special approach structure on connecting with the Linear Mixed Model-problem equation to the space theory equations of Full-Linear Mixed Model problem transforms regarding the Methodology, The authors can provide a control mechanism by making new different aspects from the phenomenon of developing special approach features(in space approximation method models and under the latter combined with Parameterily  Linear Mixed Model for mass production of sorghum, were G137, G66 and G156 under stress condition and G55, G41 and G78 under irrigated condition to obtain the notion of non-normality stable pointed distributed response variable and using lattice).

 

5. Are the conclusions consistent with the evidence and arguments presented and do they address the main question posed?

 

                The results appear consistent with the evidence and arguments.

 

The arguments presented adequately address the main question.

 

6. Are the references appropriate?

 

                In the article, references appear to be relevant to the study subject.

 

7. Please (if any) include any additional comments on the tables and figures.

 

                model mechanisms formed from special generalized Linear Mixed Model features on computural Qualitativite science and dynamical approach theory and special Fullmapping forms are developed and shown in terms of article images (under pointed appropriate Structural Analysis and Non-normality Qualitativite).

 

report:In the article, it is seen that  the special " in physical -algebraic distributed,computural Qualitativite science and structural  and applied mathematic field method(the theory of applied mathematics and science)( applied theoretic method)" featured definitions and calculations are made (the special mapping forms) for some special applied approach form equations (with strong calculations as pointed distributed response variable Structure-Activity Relationship).

 

findings: In the article, the special “applied physical and structural properties of the Genotype performances” process approach form equations are seen (the special calculations) with the help of some special forms (under special map and Stability-theoretic tool with the dynamic analysis).

 

strengths: In the article, there are proficiency-enhancing “Mathematical modeling and relational point” conditions for the special applied Stability approach forms and non-normality networks with the correlation with the Genotype performance properties.

 

weaknesses: In the article, it may be necessary to develop some extra new conditions for the special algorithms and applied approach forms of this type.

 

any minor issue: Although there are some minor weaknesses in terms of mathematical language, the article can be considered sufficient.

 

result: The article is suitable for publication for the journal.

Comments for author File: Comments.pdf

Author Response

The manuscript is modified and see the attached manuscript.

Author Response File: Author Response.pdf

Reviewer 3 Report

A generalised linear mixed model can be used to select genotypes for sorghum grain yield. Genomic information, genotype predictions, and combining skills can all be evaluated using this paradigm. Therefore, using this statistical model in sorghum breeding efforts should be urgently necessary. The purpose of this study is to use a generalised linear mixed model to perform genotype selection and determine how treatment and related factors affect grain yield. The phenotypic characteristics of sorghum were measured using a lattice-square approach for data collection. The general linear mixed model's input variable was the PCA result. A general linear mixed model using maximum likelihood techniques was used for the data analysis to estimate the model's parameters. The outcome demonstrated that there was a treatment effect on grain production and that the grain yield had a gamma distribution. For grain yield, the first main component was important. The replication within treatment, genotype, and the interaction of genotype with treatment were important random factors that contributed to the variability of grain yield. Under stressful conditions, the best genotypes for mass sorghum production were G137, G66, and G156, while under irrigated conditions, the best genotypes were G55, G41, and G78. In general, it is advised for plant breeding genotype selection to use a generic linear mixed model for grain yield. The findings of this study are therefore highly intriguing and may be helpful for upcoming sorghum breeding projects. In addition, the text features excellent writing and a strong finish. Overall, I must urge the chief editor of "Agronomy" to take this manuscript under consideration for publication.

Author Response

See the attached manuscript below

Author Response File: Author Response.pdf

Reviewer 4 Report

Dear Autors

Many important issues were raised in the article, however, there is many comments when it comes to the technical side of the article:

1. Where are the Author List??

2. School of Mathematics, statistics & Computer Science, University of KwaZulu Natal, Durban, South Africa;  - is the “statistic” shouldn't  be capitalized?

3. Abstract – why there is italic font ?

4. In the text, reference numbers should be placed in square brackets [ ], and placed before the punctuation; for example [1], [1–3] or [1,3]. For embedded citations in the text with pagination, use both parentheses and brackets to indicate the reference number and page numbers; for example [5] (p. 10). or [6] (pp. 101–105).

The reference list should include the full title, as recommended by the ACS style guide.

5. line spacing is too small - main text

I refer to the requirements for authors, , because there are many basic errors regarding formatting.

6. The aim of article or the aim of the study was?

7. I don’t think this description in necessary

The article is organized as follows. In section 1, we state the background of the study which includes literature review and purpose of the study. Next, the second section describes the data and statistical models used for data analysis. The result of the study, which is presented in section 3, explains the main results of the study while the fourth section discusses and compares the results with other scientific works.89
Finally, the conclusion and the recommendation of the study are presented in section five.

8.Time of study 2014 and 2015? 2 years of research??- unclearly presented

9. Figure 1, you need to improve the graphs, Y axis description unreadable

10. Table 1. comparing the possible link functions for the invers function- Comparing-  capital letter

11.  Figure 3 - unclear, it must be corrected

12. The description of the tables is written on the principle, table 1 shows, table 2 shows, maybe here it could be written a little differently

13. Figure 4- visible outer borders of the chart, it would be good to remove them

14. I also refer you to the guide- The reference list should include the full title, as recommended by the ACS style guide.

 

References should be described as follows, depending on the type of work:

Journal Articles:

1. Author 1, A.B.; Author 2, C.D. Title of the article. Abbreviated Journal Name Year, Volume, page range.

Books and Book Chapters:

2. Author 1, A.; Author 2, B. Book Title, 3rd ed.; Publisher: Publisher Location, Country, Year; pp. 154–196.

3. Author 1, A.; Author 2, B. Title of the chapter. In Book Title, 2nd ed.; Editor 1, A., Editor 2, B., Eds.; Publisher: Publisher Location, Country, Year; Volume 3, pp. 154–196.

etc……..

Author Response

The manuscript is modified as per the comments provided. See the responses for the comments 

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

I have gone through the manuscript in detail. The authors have addressed all the comments suggested by the reviewers. Hence, I recommend accepting the manuscript. 

Reviewer 4 Report

Dear Authors,

Reference notation [1,2], normal notation, not in superscript notation Unreadable graphs.

After corrections, the article can be published.

Author Response

The manuscript is corrected accord to the comment provided. Please, take a look the manuscript attached below.

Author Response File: Author Response.docx

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