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Agronomy
Volume 12
Issue 1
10.3390/agronomy12010119
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Article
Peer-Review Record

Performance of New Muchamiel Tomato Lines with Virus Resistance Genes Grafted onto Two Commercial Rootstocks

Agronomy 2022, 12(1), 119; https://doi.org/10.3390/agronomy12010119
by Pedro Carbonell 1, José Ángel Cabrera 1, Juan Francisco Salinas 1, Aránzazu Alonso 1, Adrián Grau 1, Lucía Sánchez-Rodríguez 1, Joaquín Parra 2, Julián Bartual 1,2, Raul Martí 3, Jaime Cebolla-Cornejo 3, Juan J. Ruiz 1 and Santiago García Martínez 1,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Agronomy 2022, 12(1), 119; https://doi.org/10.3390/agronomy12010119
Submission received: 26 November 2021 / Revised: 21 December 2021 / Accepted: 2 January 2022 / Published: 4 January 2022
(This article belongs to the Special Issue Fruit and Vegetable Quality and Bioactive Compounds at Harvest and during Postharvest Storage)

Round 1

Reviewer 1 Report

line 406 - It must be made clear that the results are applicable to the conditions under which the tests were carried out. Authors cannot disregard the GE interaction.

line 69 - What factors contribute to the downside?

line 97 - Describe rootstock characteristics.

line 101 - The methods need to be better described. Experimental design, plots, etc... Does the low number of repetitions influence the results? Why different tests for traits? Is there an influence on the result?

line 111 - Why the difference in the stems numbers? How to draw parallels with the number of distinct stems?

lines117 to 119 - Why practice in one trial?

lines 187 - Was a test for normality and homogeneity of variances performed?

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 2 Report

This research investigated the effects of grafting on yield-related parameters and fruits properties and attributes of Muchamiel tomato lines. The paper was written logically with a clear description of the experiment set-up, materials and measurements, and results. Furthermore, the author provided proper statistical tests to analyze the data. Moreover, the discussion part well explained the results and dug deep. Overall, the experiment was well designed, and the paper was well structured.

I only have three small questions.

  1. It is acceptable to analyze your two different location replicates separately, but I would like to know if you have considered your two locations as two blocks?
  2. Did you check your data following the ANOVA assumptions? In other words, check the homogeneity and the normality of your data?
  3. For your results, I would suggest using figures, such as a histogram to present the main difference in your data. Though the ANOVA table contains detailed information, the histogram is more intuitive.

 

Author Response

Please see the attachment

Author Response File: Author Response.docx

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