All reviews of published articles are made public. This includes manuscript files, peer review comments, author rebuttals and revised materials. Note: This was optional for articles submitted before 13 February 2023.
Peer reviewers are encouraged (but not required) to provide their names to the authors when submitting their peer review. If they agree to provide their name, then their personal profile page will reflect a public acknowledgment that they performed a review (even if the article is rejected). If the article is accepted, then reviewers who provided their name will be associated with the article itself.
I am happy to inform you that your manuscript has been reviewed by three independent reviewers and all of them have recommended it in favor of acceptance.
The authors have corrected property the suggestions done for the reviewers. And now the ms can be published in this Journal. In my previous report my evaluation was very positive for this ms for the topic of the ms, where the experimental desing and the mathematical procedure were adequate.
In my previous report my evaluation was very positive in this section.
In my previous report my evaluation was very positive in this section.
The authors have corrected property the suggestions done for the reviewers. And now the ms can be published in this Journal. In my previous report my evaluation was very positive for this ms for the topic of the ms, where the experimental desing and the mathematical procedure were adequate.
Very well and accept to publication
Good
Well and acceptable
Good
reviewed appropriately
Addressed appropriately
Addressed appropriately
NA
Dear Authors,
Your manuscript has been reviewed by three independent reviewer and all expressed overall satisfactions on the manuscript (their comments are attached). However, there are some minor points that need to be taken care of. Also some additional editing is required. I encourage you to complete these tasks and submit the revised version soon.
With best regards.
The ms is well written, don’t have any problem with the English. Tables and figures are adequate and relevant. The authors explain step to step the procedure carried out in the experiment: hay sampling, mathematical procedure, analystical methds, etc. The ms is easy to understand and read. In definite, it is a good ms.
The experimental design is adequate with the objectives planted in this experiment.
I want to stand out in the experiment that. I) the number of samples used in this assay give a high degree realistic to the assay; ii) there was wide range of values in the parameters CP, ADF, and NDF what it is also important to obtain a good calibration and prediccition, and iii) it is important to use several mathematical model to know what method is the better in the predccidions.
The validation was done in good way. The big number and variability in the samples did that the authors obtained a good calibration and let them to choose the best model to predict CP, ADF and NDF parameters.
This is a good ms, well written and discussed. With an objective novels, where the use of NIR is being development in a lot of agricultural areas. This method avoid complicated chemical analysis, it is cheap, fast, and reliable.
this manuscript is well written and tried to evaluate of Leymus chinensis quality using Near-Infrared reflectance spectroscopy, as well as the effect of three different statistical analyses on the chemical quality of sheepgrass. The scope is important and fit to this journal. The manuscript has some formatting errors (e.g. line 72: 117.19 ten thousand tons).
The manuscript describes the NIRS prediction of quality factors in sheepgrass. The work has been carried out in the correct manner and is of reasonable scientific interest.
As an important perennial forage grass across the Eurasian Steppe, sheepgrass is known for its adaptability to various environmental conditions, high palatability, rich in nutrients and all kinds of livestock feeding. Hence, sheepgrass in this region is regarded as an important productive grass for the hay industry developing rapidly due to a prosperous status in the dairy industry. However, it remains unclear whether NIRs is applied to search the valuable information about NIRs prediction models and rapidly and accurately assess the quality of the hay dominanted by sheepgrass for CP, ADF and NDF.therefor, this work is very important for sheepgrass.
formatting errors could be improved.
Background information was sufficient. No major issue with the language.
Relevant figures, manuscript complied with basic reporting structure.
Good
Statistical analysis and comparison was good. For NIR data, normalization procedure across various samples needs to be discussed.
Relevant and may be useful for industry
All text and materials provided via this peer-review history page are made available under a Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.