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Review
Peer-Review Record

Systematic Review and Meta-Analysis: Identification of Factors Influencing Milking Frequency of Cows in Automatic Milking Systems Combined with Grazing

Animals 2020, 10(5), 913; https://doi.org/10.3390/ani10050913
by Françoise Lessire 1,2, Nassim Moula 2, Jean-Luc Hornick 2 and Isabelle Dufrasne 1,2,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Animals 2020, 10(5), 913; https://doi.org/10.3390/ani10050913
Submission received: 20 April 2020 / Revised: 13 May 2020 / Accepted: 21 May 2020 / Published: 25 May 2020
(This article belongs to the Special Issue Sustainable Animal Production 2021)

Round 1

Reviewer 1 Report

Brief Summary:

The main aim of the paper was to investigate the factors affecting milking frequency and then to examine impact of milking frequency on milk yield; this was done through statistical methods that allowed results from a large number of studies to be compiled and examined in this one study. The study (a) showed that the parameters influencing milking frequency included concentrate supplementation, milking interval, pasture intake and stage of lactation; (b) quantified the relationship between each parameter and milking frequency; and (c) identified the relationship between milking frequency and milk yield. Finally, by using and interpreting these results the study was able to incorporate an economic perspective and identify the effect of different scenarios on productivity and profitability, and what actions would be economically feasible if, e.g. one feed source was compromised.

Broad comments:

  • In general, I would consider the paper to be very good.
  •  
  • The question is original, is well defined and is very relevant. It is absolutely the case that there are numerous studies published on the impact of different factors on milking frequency and milk production, most are very individual to the geographical area and examine parameters/ effects that are relevant in that area. So it was very necessary to try to pull together all of this information and draw possible conclusions from it. This paper does that and the results provide an advance in current knowledge.
  •  
  • A very good search of the literature appears to have been carried out and that is a key issue here.
  •  
  • I am not a statistician but I am of the view that the results are arrived at correctly. A solid description of the methodology has been outlined and that methodology, or directions/decisions within it, was underpinned by consideration of the foregoing results, context and reasoning of a wide range of variables. I believe that the results are interpreted appropriately and conclusions justified. Hypotheses and speculations are identified properly.
  •  
  • The paper is written well; even though the results section can be complex, it is written and presented in a user friendly manner that is easy to understand and follow. To me, the study is correctly designed and is technically sound. The data is sufficiently robust to draw the conclusions.
  •  
  • The output is of interest to readers. The dairy sector and milking specifically accounts for a significant proportion of researchers and industry. Automatic milking is getting as important worldwide as conventional milking. This study has these features as well as access, nutrition, and economics aspects, so I think it is very relevant.
  •  
  • There is definitely a benefit to publishing this work, such a study is needed. The work provides an advance in current knowledge in this area. The authors have addressed an important long-standing question through the use of appropriate statistical data analysis methodology.
  •  
  • The English language is appropriate and understandable – but I have a number of suggested changes in the next section.Line 22: increases MF
  • Line 14: It seems to us

Line 26: More and more dairy farms (up to more than one in four in some countries) are equipped

Line 29: usually causes

Line 39: allowed maintenance of MF and MY

Line 48: according to Barkema et al.

Line 53-54: on a scale………………………..milk yield – re-write

Line 55: AMS – use abbreviation

Line 56: allow maximum use of grass

Line 57: designed to allow

Line 59: that allows maintenance of a high milk yield

Line 68: could compensate for the lower income associated with a low milk production.

Line 93: had to be

Line 95: 43 papers from (or of) 71 were selected

Line 97: geographical area of the 43 studies was identified

Line 98: forages and a grazed grass allocation

Line 100: New Zealand and Ireland (16 and 11%,respectively), where grass was a major constituent of cows’ rations, the next quarter involved Belgian……………….

Line 101: 13 and 11%, respectively) with limited grazing seasons, and

Line 105: The type of

Line 106: the main proportion of ……….. The remainder comprised of three short

Line 108: refereed

Line 110: included

Line 113: aimed to

Line 114: statistical indicators

Line 115: of observations was considered very relevant

Line 116: accepted studies

Line 124: robot.

Line 126: managed

Table 1: May be better to un-justify text in table

Table 1: re-write NL-Sweden and NZ-Australia

Line 146: provided

Line 160: deduced

Line 172: 0.250 € - units

Line 174: at PMR was evaluated at

Line 175: concentrate feeding

Line 178: , respectively

Line 181: Descriptive analysis were carried out first and then analysis was completed in Multivariate

Line 188: allowed us to

Line 196: to ensure its objectivity.

Line 198: low, whereas above 50% it was considered as high.

Line 199: used random effect models to consider the variability

Line 205: Table 3

Line 220: Axis 1 and represented 41 and 19% of the total variation, respectively. Axis 3 achieved

Line 230: , respectively

 

Line 236: (negatively)

Line 238: Impact……………is this a heading or use :

Line 240: Methods Section,               use same units of cost/kg or cost/100 kg    Clusters

Line 241: 1 to 4, respectively

Line 248: were ?

Line 250: subgroups analysed when

Line 251: are indicated in Figures

Line 252: in the description of Results.

Line 256: cow traffic

Line 257: we hypothesized

Line 258: total number

Page of lines 259-288: (a) have consistency in units e.g. milkings/cow/day and milkings/cow per day; (b) use increase instead of rise – e.g. was effective in increasing; (c) be consistent with abbreviations e.g. concentrate supply is used here rather than CS; (d) should HC be high CS

Page of lines 289-310: should concentrate allocation be CS ? and again consistency of units. Line 306: was compared to an MMI and use increase rather than rise

Line 316: as opposed to

Line 318: in early compared to late lactation cows

Line 319: prompted us to

Line 321: late lactation cows

Line 323: 200 days received 4.65

Line 331 – consistency of units

Line 340: choose to challenge

Line 342: is 0.3 to 0.6 correct

Line 358: the effect of short……..vs long……..MMI (12 h) both of which showed ………..

358/359: summary, when increased MF induced increased MY, this effect

Page of lines 366-416: consistency in use of abbreviations, e.g. milking frequency and MF. Also re-write 375-377 (Yet to PMR). Also re-write 381-384 The lowest to 2 clusters).

Line 413: one study that compared high and low rumination levels of cows; this showed large individual cow variations, thus results would not be representative for this cluster.

Line 417: 71)]. It seemed to

Line 419: interval was considered to play

Line 420: irrespective of the amount

Line 425: appeared to indicate

Line 430: allows matching of

Line 432: and this practice was replicated in other

Line 446-448: re-write

Line 466: the choice of system

Line 473: vary depending on

Line 475: productivity within each.

Line 475: the association of a specific model is correlated with

Author Response

Letter to the first Reviewer

 

Dear Reviewer,

 

I thank you very much for your careful reading and for your constructive comments. Here you will find the corrections made in the text following your recommendations. All the changes are tracked in the newly submitted document.

 

Best regards,

 

Françoise

 

  •  
  •  
  • The English language is appropriate and understandable – but I have a number of suggested changes in the next section.
  •  
  • Line 22: increases MF OK
  • Line 14: It seems to us changed

Line 26: More and more dairy farms (up to more than one in four in some countries) are equipped OK

Line 29: usually causes OK

Line 39: allowed maintenance of MF and MY OK

Line 48: according to Barkema et al. OK

Line 53-54: on a scale………………………..milk yield – re-write – Re-wroten

Line 55: AMS – use abbreviation OK

Line 56: allow maximum use of grass OK

Line 57: designed to allow OK

Line 59: that allows maintenance of a high milk yield OK

Line 68: could compensate for the lower income associated with a low milk production. OK

Line 93: had to be OK

Line 95: 43 papers from (or of) 71 were selected OK

Line 97: geographical area of the 43 studies was identified OK

Line 98: forages and a grazed grass allocation OK

Line 100: New Zealand and Ireland (16 and 11%,respectively), where grass was a major constituent of cows’ rations, the next quarter involved Belgian………………. Re-wrotten as suggested

Line 101: 13 and 11%, respectively) with limited grazing seasons, and OK

Line 105: The type of OK

Line 106: the main proportion of ……….. The remainder comprised of three short OK

Line 108: refereed OK

Line 110: included OK

Line 113: aimed to OK

Line 114: statistical indicators OK

Line 115: of observations was considered very relevant OK

Line 116: accepted studies OK

Line 124: robot. Not sure to have understand – replaced by AMS

Line 126: managed Do you mean to change manageable by managed?

Table 1: May be better to un-justify text in table OK

Table 1: re-write NL-Sweden and NZ-Australia OK

Line 146: provided OK

Line 160: deduced OK

Line 172: 0.250 € - units OK

Line 174: at PMR was evaluated at OK

Line 175: concentrate feeding OK

Line 178: , respectively OK

Line 181: Descriptive analysis were carried out first and then analysis was completed in Multivariate OK

Line 188: allowed us to OK

Line 196: to ensure its objectivity. OK

Line 198: low, whereas above 50% it was considered as high. OK

Line 199: used random effect models to consider the variability OK

Line 205: Table 3 OK

Line 220: Axis 1 and represented 41 and 19% of the total variation, respectively. Axis 3 achieved OK

Line 230: , respectively OK

 

Line 236: (negatively) OK

Line 238: Impact……………is this a heading or use : changed

Line 240: Methods Section,               use same units of cost/kg or cost/100 kg    Clusters OK

Line 241: 1 to 4, respectively OK

Line 248: were ? Changed – but not sure of what you meant

Line 250: subgroups analysed when OK

Line 251: are indicated in Figures OK

Line 252: in the description of Results. OK

Line 256: cow traffic OK

Line 257: we hypothesized OK

Line 258: total number OK

Page of lines 259-288: (a) have consistency in units e.g. milkings/cow/day and milkings/cow per day; (b) use increase instead of rise – e.g. was effective in increasing; (c) be consistent with abbreviations e.g. concentrate supply is used here rather than CS; (d) should HC be high CS – I checked

Page of lines 289-310: should concentrate allocation be CS ? and again consistency of units. Line 306: was compared to an MMI and use increase rather than rise I checked and modified

Line 316: as opposed to OK

Line 318: in early compared to late lactation cows OK

Line 319: prompted us to OK

Line 321: late lactation cows OK

Line 323: 200 days received 4.65 OK

Line 331 – consistency of units checked

Line 340: choose to challenge OK

Line 342: is 0.3 to 0.6 correct OK

Line 358: the effect of short……..vs long……..MMI (12 h) both of which showed ……….. OK

358/359: summary, when increased MF induced increased MY, this effect OK

Page of lines 366-416: consistency in use of abbreviations, e.g. milking frequency and MF. Also re-write 375-377 (Yet to PMR). Also re-write 381-384 The lowest to 2 clusters). I re-wrote and verified

Line 413: one study that compared high and low rumination levels of cows; this showed large individual cow variations, thus results would not be representative for this cluster. OK

Line 417: 71)]. It seemed to OK

Line 419: interval was considered to play OK

Line 420: irrespective of the amount OK

Line 425: appeared to indicate OK

Line 430: allows matching of OK

Line 432: and this practice was replicated in other OK

Line 446-448: re-write – I re-wrote it

Line 466: the choice of system OK

Line 473: vary depending on OK

Line 475: productivity within each. OK

Line 475: the association of a specific model is correlated with OK

Reviewer 2 Report

General Comments:

As the use of robotic milking systems has increased, a review of factors affecting milking frequency and milk yield when using these systems in concert with pasture-based dairy production systems should contribute to the literature.  However, this manuscript has a number of concerns that need to be addressed.  First, it is very difficult to read.  Part of problem seems to be the use of English and even the use of some words like exploitation or complement, but in some cases like the relationship between milking frequency and milk yield seem to be correlations that could go in either direction.  In addition, while 43 papers were selected for use in the review, much fewer were used in the analysis of individual variables.  The most extreme example of this was the use of only two studies in analysis of the seemingly important relationships between pasture dry matter intake and milking frequency.  Furthermore, there seems to be little consideration of the effects of pasture forage quality as related to pasture botanical composition or pasture management which likely affects the response to supplemental grain or stored forages.  Additional comments follow:

Line

 

14

Use of the word ‘us’ is unclear.

15

Define ‘exploitation’

22

Change ‘rises’ to ‘increases’

23

While ‘The impact of MF on MY’ presumably means MF increases MY, why couldn’t the increasing MY increase MF?

26

Omit ‘and more’

29

What is the effect of pasture-based AMS being compared to?

37-38

While this effect seems obvious, was there actually an economic analysis conducted?  At what feed prices would pasture-based dairies be justified?

48

Remove ‘following’ and move the Barkema et al. (2015) reference to the end of the sentence.

50

Change ‘grazing practices’ to ‘utilization of grazing’

56

Change to ‘ …exclusively on a diet of grass.’

61

Omit ‘Actually’

61-63

What is this compared to?

71-72

The last sentence is unclear.

75

The term ‘Prisma statement’ is unclear.

95

Change ‘on’ to ‘of’

108

Change ‘referred’ to ‘refereed’

128-142

Tables 1 and 2 essentially present the raw data for the paper and really doesn’t add much to the results or discussion.  Points in the data set that do add something to the analysis could be discussed in the text.

151-155

Grazing management variables should include variables related to forage nutritional quality such as botanical and nutritional composition along with sward height and forage allowance.

154

The term ‘complement’ is unclear.  Should it be ‘mechanically harvested forage or feed’ or ‘stored forage or feed’?  It would seem that supplemental grain could be considered a complement.

214-215 and 220-223

It is unclear what Figure 1 and 2 represent.  They should be more thoroughly discussed and described in text.

228-229

Why isn’t complementation included as a variable in relation to axis 1

238

‘Impact of Developed Strategies on Feeding Costs’ is an unclear heading.

Figure 3

Better define the Axis headings, Dim.

296

Define ‘this parameter’.

308-310

Change ‘rise’ to ‘an increase’.

308-310

Wouldn’t this relationship be confounded with cows per robot?  If too many cows were allotted per robot, it would seem that Minimum Milking Interval would have less impact.

332-336

Only two studies for this important relationship?  Also no consideration of pasture botanical or nutritional composition which would be very important.

352

The ABC and AB grazing systems need to be fully described either here or in the methods.

371

While the authors assume that increased milking frequency increases milk yield, what evidence is there that it isn’t milk yield increasing milking frequency.

377 and 380

Should ‘grazed grass’ be changed to ‘grazed forage’ to include mixed pastures.?

377-378

How was the proportion of grazed ‘grass’ in Clusters 2 and 4 determined?

395

‘inclusion of some of them’ is unclear.

398

The word ‘targeted’ is unclear.

401

Should ‘to develop’ be ‘the use of’

401

Does the ‘Lower production levels’ refer to grazing-based systems?

412-414

The relationship discussed in this sentence is unclear.

427

What is high pasture dry matter intake being compared to?  This would also seem to be an example where milk yield influences milking frequency.

435

Is milking frequency controlling milk yield or vice versa?

437

Change to ‘…at a concentration…’

441

Change ‘rise’ to ‘increase’

444-448

Unclear sentence

448

Change ‘rising’ to ‘increasing’

450

It is unclear what parameters are being discussed.

458-471

Very unclear.

474

The word ‘exploitation’ is unclear.

475

The phrase ‘The belonging to’ is unclear.

476-478

What data is the conclusion related to the economic point of view are referring to?

480

The word ‘complementation’ seems in unclear here as in other parts of manuscript, it seems to refer harvested forage or harvested forage and grain mixtures.  Perhaps supplementation or substitution would be appropriate.

 

 

 

 

 

Author Response

Letter to the 2d Reviewer

 

Dear Reviewer,

 

Thank you for your comments.

Hereafter you will find the answers and corrections made following your observations.

I sincerely hope that answers I am providing will satisfy you.

If any is incomplete or needs more explanation, please feel free to address me new questions.

 

Best regards,

 

Françoise Lessire

 

 

14

Use of the word ‘us’ is unclear. 

I removed “us”

15

Define ‘exploitation’

 « agricultural exploitations » - completed in the manuscript

22

Change ‘rises’ to ‘increases’

OK

23

While ‘The impact of MF on MY’ presumably means MF increases MY, why couldn’t the increasing MY increase MF?

It is true that MY and MF are linked – especially in robotic systems, the possibility of increasing MF from 2 to 3 milkings/cow per day has induced an increase in MY. The concern with pasture-based robot is linked to decreased MY. The hypothesis was that decreased MY was due to lower MF reported in all the studies. Literature review shows also that feed is a more potent incentive for cows to be milked than milk pressure in the udder due to high milk yield (Jacobs et al., 2012).  This point was argued in the paper.

26

Omit ‘and more’

OK

29

What is the effect of pasture-based AMS being compared to?

Precised in the text

37-38

While this effect seems obvious, was there actually an economic analysis conducted?  At what feed prices would pasture-based dairies be justified?

These points are discussed further in the text

48

Remove ‘following’ and move the Barkema et al. (2015) reference to the end of the sentence.

OK

50

Change ‘grazing practices’ to ‘utilization of grazing’

OK

56

Change to ‘ …exclusively on a diet of grass.’

OK

61

Omit ‘Actually’

OK

61-63

What is this compared to?

completed

71-72

The last sentence is unclear.

changed

75

The term ‘Prisma statement’ is unclear.

More explanation about Prisma was provided

95

Change ‘on’ to ‘of’

OK

108

Change ‘referred’ to ‘refereed’

OK

128-142

Tables 1 and 2 essentially present the raw data for the paper and really doesn’t add much to the results or discussion.  Points in the data set that do add something to the analysis could be discussed in the text.

These tables are included to allow the reader to find the information he is looking for within the results of the systematic review. It’s just informative. In systematic review and meta-analysis, it is strong recommended to give a summary about information gathered.

151-155

Grazing management variables should include variables related to forage nutritional quality such as botanical and nutritional composition along with sward height and forage allowance.

The aim of this article is to gather maximum information on several concerns that can be completed from the included references and aims to investigate factors that could influence MF. The dataset already included 14 parameters. Few missing data were recorded. As you highlighted, for pair-wise comparisons, few publications could be used because PDMI had to be mentioned low vs high in the same conditions to allow comparison. I recognize the importance of botanical and nutritional composition on grazing but data on these factors were not available in all the papers. Thus, including these in the dataset would lead to more incomplete data and so prevent analysis that could reach the objectives of the paper. Only one paper is about grazing of soybean (Clark et al., 2014). All the other papers are based on grazing pastures including a large part of grasses.

154

The term ‘complement’ is unclear.  Should it be ‘mechanically harvested forage or feed’ or ‘stored forage or feed’?  It would seem that supplemental grain could be considered a complement.

More precisions were given

214-215 and 220-223

It is unclear what Figure 1 and 2 represent.  They should be more thoroughly discussed and described in text.

More precisions were provided

228-229

Why isn’t complementation included as a variable in relation to axis 1:

The value of this variable was completed

238

‘Impact of Developed Strategies on Feeding Costs’ is an unclear heading.

Corrected

Figure 3

Better define the Axis headings, Dim.

OK

296

Define ‘this parameter’.

Changed in “variables”  

308-310

Change ‘rise’ to ‘an increase’.

 OK

308-310

Wouldn’t this relationship be confounded with cows per robot?  If too many cows were allotted per robot, it would seem that Minimum Milking Interval would have less impact.

In this pair-wise comparison, the Authors of the papers included divided the herd into 2 groups of similar size. Thus, one group out of the herd with a short MMI was challenged to another group with extended MMI. There is no confounding effect in the analysis as the groups presented the same number of cows. The MMI is a parameter that the farmer set by himself depending on his production objectives and of some other factors including the size of the herd.

332-336

Only two studies for this important relationship?  Also no consideration of pasture botanical or nutritional composition which would be very important.

To be included in this comparison, the study has to give information on contrasted PDMI with their effect on MF. Only 2 studies provided these data. Concerning the systematic review, no publication studied the relationship between two botanical/ nutritional composition and their effect on MF. The systematic review included only one paper investigating soybean grazing (Clark et al., 2014).

352

The ABC and AB grazing systems need to be fully described either here or in the methods.

OK

371

While the authors assume that increased milking frequency increases milk yield, what evidence is there that it isn’t milk yield increasing milking frequency.

The concern you arose is discussed in “Discussion”.The aim of this research is about the lower MY observed at grazing compared with barn and its relationship with lower MF. Studies have demonstrated that milk pressure did not motivate cows to come back to AMS but grass or concentrate supply did (Jacobs et al., 2012). Literature review underlined that low MF in pasture-based AMS was observed. So, with regards with literature review, we assumed that low MF induced low MY and not the contrary.  

377 and 380

Should ‘grazed grass’ be changed to ‘grazed forage’ to include mixed pastures.?

All the studies lead and included in this meta-analysis were on pastures composed of grass and legumes

377-378

How was the proportion of grazed ‘grass’ in Clusters 2 and 4 determined?

Explained in M&M

395

‘inclusion of some of them’ is unclear.

Re-wroten

398

The word ‘targeted’ is unclear.

Changed

401

Should ‘to develop’ be ‘the use of’

OK

401

Does the ‘Lower production levels’ refer to grazing-based systems?

Yes and completed

412-414

The relationship discussed in this sentence is unclear.

Rewroten

427

What is high pasture dry matter intake being compared to?  This would also seem to be an example where milk yield influences milking frequency.

High PDMI could be defined as 90% grazed grass in cow diet – it was specified in results

435

Is milking frequency controlling milk yield or vice versa?

This is discussed above as answer to your comments

437

Change to ‘…at a concentration…’

 OK

441

Change ‘rise’ to ‘increase’

OK

444-448

Unclear sentence

Re-wroten

448

Change ‘rising’ to ‘increasing’

OK

450

It is unclear what parameters are being discussed.

Re-wroten

458-471

Very unclear.

Re-wroten

474

The word ‘exploitation’ is unclear.

Term was changed into management

475

The phrase ‘The belonging to’ is unclear.

Re-wroten

476-478

What data is the conclusion related to the economic point of view are referring to?

Calculation of feeding costs was explained in M&M and results presented in 3.1.4. I extended the 3.1.4 to give more explanations.

480

The word ‘complementation’ seems in unclear here as in other parts of manuscript, it seems to refer harvested forage or harvested forage and grain mixtures.  Perhaps supplementation or substitution would be appropriate.

Complementation was specified all around the manuscript

 

 

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