| Literature DB >> 28301604 |
Gesa Busch1,2, Daniel M Weary1, Achim Spiller2, Marina A G von Keyserlingk1.
Abstract
Public concerns regarding the quality of life of farm animals are often focused on specific practices such as separating the cow and calf immediately after birth. The available scientific literature provides some evidence in support of this practice (including reduced acute responses to separation when it does occur), as well as evidence of disadvantages (such as increased risk of uterine disease in cows). The aim of this study is to systematically examine public views around this practice. Specifically, this study analyzes the views of American and German citizens to separation of cow and calf at birth using a quantitative segmentation approach. Although the majority of participants opposed early separation, a small proportion of our sample supported the practice. According to participants' preference for early and later separation and their evaluation of different arguments for both practices, three clusters were identified. US participants were more likely to support early separation compared to German participants. The arguments presented for and against both practices caused different reactions in the three clusters, but did not appear to sway the opinions of most participants. The results show considerable opposition to the practice of early separation in large parts of the sample and suggest that the dairy industry should consider approaches to address this concern.Entities:
Mesh:
Year: 2017 PMID: 28301604 PMCID: PMC5354428 DOI: 10.1371/journal.pone.0174013
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Examples of illustrative quotes reported by Ventura et al. [31] and the related, balanced quantitative arguments developed for the current study for each of six main themes.
| Main theme: Subtheme | Original Quote | Arguments in the questionnaire |
|---|---|---|
| “The cow being a mother is supposed to have an emotional string attached to her calf….by no means having a lesser degree of recognition compared to a human mother” (p. 6109) | 1. The cow has an emotional attachment to her calf. | |
| 2. The attachment between cow and calf cannot be compared to that between human mother and child. | ||
| “There is no way to monitor for adequate colostrum intake if the calf nurses freely” (p. 6110) “Calves benefit from the care they receive from the cow (e.g. better access to milk and colostrum” (p. 6112). “The cow produces colostrum which isn’t commercially saleable and the calf should have free access to this for the first couple of days at least” (p. 6112) | 1. By allowing calves to nurse freely from the cow, the calf has better access to milk. | |
| 2. By separating cow and calf early, the farmer can ensure that the calf receives adequate colostrum (the first milk which is important for calf health). | ||
| “Allowing the cow to be with her calf certainly keeps her happy and content. I believe a happy cow produces more milk” (p. 6112). “The farmers than have to use oxytocin on the cow to force her milk to come out….cows can get very sick if they don’t release their milk” (p. 6112) | 1. A cow that is together with her calf produces more milk. | |
| 2. If the cow nurses her calf, she won’t release her milk to the farmer. | ||
| “Nature tells us the cow is born to enjoy the companionship of her calf for a certain time and vice versa” (p. 6112). “…those calves separated early from their mothers are believed to have low socialization and [are] more stressed when mixed later with groupmates in a pen.” (p. 6112) | 1. Nature tells us the cow enjoys the companionship of her calf for a certain time. | |
| 2. Even when separated early from the cow, calves can develop normal social behavior. | ||
| “I think early cow-calf separation is practiced for the purpose of reducing labor management of the owner, not for the cow-calf wellbeing” (p. 6113). “Why can’t farmers treat the very thing that makes them so much money with some respect?” (p. 6113) | 1. Early cow-calf separation is done to reduce labor for the farmer and does not consider the welfare of the calf and cow. | |
| 2. Farmers treat their cows with respect because cows are their livelihood. | ||
| "If most of the problems around leaving the cow and calf together are a matter of environment, why not change the environment?" (p. 6113) | 1. Farms that separate cows and calves early cannot easily change practices. | |
| 2. Housing systems on dairy farms can be changed to maximize benefits for cows and calves. |
Distribution of demographics in the US (n = 476) and German (n = 491) online sample compared to census data from both countries.
| Attribute | US sample | US population | German sample | German population |
|---|---|---|---|---|
| Male | 49.4% | 49.2% | 50.7% | 49.0% |
| Female | 50.6% | 50.8% | 48.3% | 51.0% |
| No specification | - | - | 1.0% | - |
| 18–29 | 39.9% | 21.8% | 39.3% | 16.7% |
| 30–39 | 31.9% | 16.9% | 25.3% | 14.4% |
| 40–49 | 16.6% | 16.9% | 14.7% | 18.3% |
| 50–59 | 8.8% | 18.0% | 15.7% | 18.3% |
| > 60 | 2.7% | 26.4% | 5.1% | 32.3% |
| Northeast/North | 20.0% | 17.6% | 17.1% | 18.1% |
| Midwest/ East | 22.3% | 21.2% | 27.1% | 30.4% |
| South/South | 38.2% | 37.6% | 22.4% | 29.8% |
| West/West | 19.5% | 23.6% | 33.4% | 21.7% |
a Gender and age [51]
b Region [52]
c Gender [53]
d Age [54]
e Region [55]
Responses by American (US; n = 476) and German (German; n = 491) participants’ to whether cow-calf separation should take place early or later, BEFORE and AFTER the provision of arguments.
| They definitely should be separated later. | They should be separated later. | They probably should be separated later. | I am not sure. | They probably should be separated early. | They should be separated early. | They definitely should be separated early. | |
|---|---|---|---|---|---|---|---|
| US BEFORE | 20.6% | 17.9% | 16.6% | 17.6% | 14.9% | 6.9% | 5.5% |
| US AFTER | 18.5% | 18.5% | 19.5% | 21.8% | 12.2% | 5.9% | 3.6% |
| German BEFORE | 31.6% | 21.0% | 16.1% | 11.2% | 9.4% | 6.3% | 4.5% |
| German AFTER | 23.8% | 21.8% | 21.4% | 18.5% | 7.7% | 4.3% | 2.4% |
Percentages and means (± S.D.) falling into the 7-point Likert scale on whether cow-calf separation should take place early or later BEFORE and AFTER the provision of arguments.
| -3 | -2 | -1 | 0 | +1 | +2 | +3 | Mean (Standard deviation) | t-value | |
|---|---|---|---|---|---|---|---|---|---|
| Cluster “Late” BEFORE | 55.9% | 29.7% | 10.5% | 2.4% | 0.3% | 0.8% | 0.3% | -2.35 (0.93) | 3.59 |
| Cluster “Late” AFTER | 54.6% | 42.4% | 2.4% | 0.5% | - | - | - | -2.52 (0.58) | |
| Cluster “Unsure” BEFORE | 9.1% | 17.7% | 26.4% | 27.3% | 12.5% | 4.1% | 2.9% | -0.60 (1.41) | 0.56n.s. |
| Cluster “Unsure” AFTER | - | 9.1% | 45.3% | 45.6% | - | - | - | -0.64 (0.65) | |
| Cluster “Early” BEFORE | 2.3% | 2.3% | 5.3% | 8.8% | 36.8% | 25.7% | 18.7% | 1.27 (1.35) | -3.34 |
| Cluster “Early” AFTER | - | - | - | 0.6% | 55.6% | 28.7% | 15.2% | 1.58 (0.75) |
Responses are shown separately BEFORE and AFTER the provision of arguments, together with the p-value from a paired-sample t-tests comparing these responses. Responses are also shown separately for the “Late”, “Unsure”, and “Early” clusters. Scales: Separation question: 7-point scale from -3 =“They definitely should be separated later”, -2 =“They should be separated later”, -1 =“The probably should be separated later”, 0 =“I am not sure”, +1 =“The probably should be separated early”, +2 =“They should be separated early”, +3 =“They definitely should be separated early”. Cluster “Late” =“Favor later separation”; cluster “Unsure” =“Unsure whether to favor later separation”; cluster “Early” =“Favor early separation”.
***p≤0.001
**p≤0.01
n.s.: non-significant
Cluster “Late”, “Unsure” and “Early” means (±S.D.) for the cluster-building variables “When do you think calves should be separated from the cow?” and factor 1, 2 and 3 arising from exploratory factor analysis.
| Item (Factor loading) | Cluster | ||
|---|---|---|---|
| “Late” n = 370 | “Unsure” n = 417 | “Early” n = 171 | |
| -2.51 | -0.64 | 1.58 | |
| 1.72 | 0.87 | 0.75 | |
| 2.03 (0.97) | 1.28 (1.07) | 1.11 (1.27) | |
| 2.12 (0.89) | 1.24 (1.01) | 1.12 (1.12) | |
| -1.65 (1.20) | -0.68 (1.25) | -0.47 (1.44) | |
| -0.97 (1.63) | 0.00 (1.38) | 0.08 (1.59) | |
| 1.81 (1.08) | 1.13 (1.03) | 1.12 (1.08) | |
| -1.08 | -0.15 | 0.37 (0.75) | |
| -0.98 (1.36) | 0.08 (1.16) | 0.40 (1.23) | |
| -1.44 (1.21) | -0.48 (1.13) | -0.07 (1.38) | |
| -1.00 (1.32) | 0.16 (1.23) | 1.32 (1.36) | |
| -1.40 (1.26) | -0.59 (1.19) | -0.18 (1.38) | |
| -0.88 (1.55) | 0.06 (1.19) | 0.53 (1.29) | |
| -0.78 (1.43) | -0.11 (1.17) | 0.19 (1.33) | |
| 1.37 | 0.59 | 0.34 | |
| 1.14 (1.08) | 0.47 (0.93) | 0.20 (1.22) | |
| 1.18 (1.10) | 0.41 (0.90) | 0.35 (1.06) | |
| 1.35 (1.57) | 0.45 (1.12) | 0.30 (1.27) | |
| 1.28 (1.41) | 0.49 (1.09) | 0.16 (1.27) | |
| 1.92 (1.11) | 1.14 (1.05) | 0.68 (1.36) | |
The table shows a mean comparison of all four cluster-building variables and all single variables using ANOVA and post-hoc tests. Cluster “Late” =“Favor later separation”; cluster “Unsure” =“Unsure whether to favor later separation”; cluster “Early” =“Favor early separation”. CA = Cronbach’s Alpha for the factor. Numbers in brackets behind the single items indicate loadings on the factor above. Numbers in the main part of table show means and standard deviation in brackets. Means for the factors show non-weighted factor scores. Scales: Separation question: 7-point scale from -3 =“They definitely should be separated later” over 0 =“I am not sure” to +3 =“They definitely should be separated early”; all other questions: 7-point scale from -3 =“I strongly disagree” over 0 =“I neither agree nor disagree” to +3 =“I strongly agree”. Stars indicate differences with ***p≤0.000;
a, b, c = Letters indicate significant differences (p≤0.05) between clusters according to post-hoc tests, e.g. a indicates that this cluster differs from cluster”Late” in this variable with p≤0.05.
1 = LSD post-hoc test was used because of no differences in variances in clusters.
2 = Tamhane post-hoc test was used because of differences in variances in clusters.
3Separation question asked after the presentation of 22 different arguments.
Cluster “Late”, “Unsure” and “Early” means (±S.D.) for cluster-describing variables about weaning that were not related to the factors.
| Item (factor loading) | Cluster | ||
|---|---|---|---|
| “Late” n = 370 | “Unsure” n = 417 | “Early” n = 171 | |
| Early separation of cow and calf causes distress for both.*** | 1.89 | 0.85 | 0.16 |
| The cow helps to protect the calf from threats and injury.*** | 1.89 | 1.12 | 0.72 |
| If the cow nurses her calf, she won’t release her milk to the farmer.*** | -0.44 | -0.15 | 0.32 |
| Nature tells us the cow enjoys the companionship of her calf for a certain time.*** | 1.82 | 1.01 | 0.91 |
| Even when separated early from the cow, calves can develop normal social behavior.*** | -0.25 | 0.33 | 0.84 |
| Farmers treat their cows with respect because cows are their livelihood.*** | 0.20 | 0.42 | 0.73 |
Displayed are mean comparisons using ANOVA and post-hoc tests for the arguments not included as cluster-building variables. Cluster “Late” =“Favor later separation”; cluster “Unsure” =“Unsure whether to favor later separation”; cluster “Early” =“Favor early separation”. Differences between clusters were tested using ANOVA and post-hoc tests. Stars indicate differences according to ANOVA with ***p≤0.000. Tamhane post-hoc test was used because of differences in variances in clusters.
a, b, c = Letters indicate significant differences (p≤0.05) between clusters according to post-hoc tests, e.g. a indicates that this cluster differs from cluster “Late” in this variable with p≤0.05.
Cluster “Late“, “Unsure”and “Early” means (±S.D.) for cluster describing variables in relation to pets and Schwartz values.
| Item (factor loading) | Cluster | ||
|---|---|---|---|
| “Late” n = 370 | “Unsure” n = 417 | “Early” n = 171 | |
| 1.27 | 0.86 | 0.68 | |
| 1.22 (1.44) | 0.85 (1.44) | 0.71 (1.38) | |
| 0.58 (1.49) | 0.23 (1.40) | 0.06 (1.43) | |
| 2.02 (1.06) | 1.50 (1.12) | 1.27 (1.32) | |
| 0.08 | 0.42 | 0.62 | |
| 0.24 (1.49) | 0.52 (1.38) | 0.73 (1.30) | |
| -0.18 (1–61) | 0.18 (1.37) | 0.57 (1.36) | |
| 0.18 (1.62) | 0.57 (1.34) | 0.55 (1.30) | |
| 0.64 | 0.27 | 0.26 | |
| 0.80 (1.79) | 0.28 (1.79) | 0.20 (1.73) | |
| 1.46 (1.52) | 0.97 (1.66) | 0.96 (1.61) | |
| 0.78 (1.70) | 0.34 (1.73) | 0.25 (1.73) | |
| 1.01 (1.69) | 0.53 (1.68) | 0.62 (1.66) | |
| 0.04 (1.90) | -0.30 (1.78) | -0.29 (1.82) | |
| -0.26. (1.79) | -0.18.(1.68) | -0.18 (1.73) | |
| 0.42n.s. (1.24) | 0.40 n.s (1.19) | 0.58 n.s (1.12) | |
| -0.28 | -0.41 | -0.80 | |
Displayed are mean comparisons using ANOVA and post-hoc tests for factors indicating participants’ “Belief in animal mind”, their pet relation and their value orientation measured on a Short Schwarz Value Scale. Cluster “Late” =“Favor later separation”; cluster “Unsure” =“Unsure whether to favor later separation”; cluster “Early” =“Favor early separation”. CA = Cronbach’s Alpha for the factors. Numbers in brackets behind the items indicate loadings on the factor above. Numbers in the table show means and standard deviation in brackets. Scales: Schwartz values: 7-point scale from: -1 =“Opposed to my principles” over “0 =“not important” to +5 =“Of surpreme importance; all other questions: 7-point scale from -3 =“I strongly disagree” over 0 =“I neither agree nor disagree” to +3 =“I strongly agree”. Stars indicate differences according to ANOVA with ***p≤0.000. n.s. = indicates no differences.
1 = LSD post-hoc test was used because of no differences in variances in clusters.
2 = Tamhane post-hoc test was used because of differences in variances in clusters.
a, b, c = Letters indicate significant differences (p≤0.05) between clusters according to post-hoc tests, e.g. a indicates that this cluster differs from cluster “Late” in this variable with p≤0.05;
n.s. = indicates no differences compared to the other cluster (p≥0.05).
Percentage of participants falling into clusters “Late”, “Unsure” and “Early”, in relation to participant demographics.
| Cluster | |||
|---|---|---|---|
| “Late” | “Unsure” | “Early” | |
| Total participants | n = 370 = 100% | n = 417 = 100% | n = 171 = 100% |
| USA | 43.0% | 50.4% n.s. | 59.1% |
| Germany | 57.0% | 49.6% n.s. | 40.9% |
| Female | 62.2% | 46.3% | 31.6% |
| Male | 37.3% | 53.0% | 68.4% |
| No answer | 0.5% n.s. | 0.7% n.s. | 0.0% n.s. |
| 18–29 years | 30.3% | 42.7% | 52.6% |
| 30–39 years | 29.2% n.s. | 28.3% n.s. | 27.5% n.s. |
| 40–49 years | 18.6% | 15.3% n.s. | 8.8% |
| 50–59 years | 16.8% | 9.8% | 9.4% n.s. |
| >60 years | 5.1% n.s. | 3.8% n.s. | 1.8% n.s. |
| Urban | 32.2% n.s. | 31.4% n.s. | 34.5% n.s. |
| Suburban | 44.3% n.s. | 46.5% n.s. | 44.4% n.s. |
| Rural (not on a farm) | 21.9% n.s. | 20.4% n.s. | 20.5% n.s. |
| Rural (on a farm) | 1.6% n.s. | 1.7% n.s. | 0.6% n.s. |
| No restrictions | 86.5% | 92.1% | 94.2% |
| No Meat but fish | 2.4% n.s. | 3.8% n.s. | 4.1% n.s. |
| Vegetarian | 7.3% | 3.4% | 1.2% |
| Vegan | 3.8% | 0.7% | 0.6% n.s. |
| None | 30.0%n.s. | 35.5% n.s. | 36.8% n.s. |
| Spent holidays on farms | 29.5% n.s. | 24.4% n.s. | 25.7% n.s. |
| Seen pictures and movies about farms | 54.1% n.s. | 51.1% n.s. | 49.1% n.s. |
| Are regularly in contact with agriculture through others | 29.5% | 19.9% | 22.8% n.s. |
| Someone in the family works in agriculture | 13.8% | 18.2% n.s. | 22.2% |
| Work/Worked themselves in agriculture | 8.4% n.s. | 6.2% n.s. | 9.9% n.s. |
Cluster “Late” =“Favor later separation”; cluster “Unsure” =“Unsure whether to favor later separation”; cluster “Early” =“Favor early separation”. Differences between clusters were tested using Chi-square test and Cross tabulation z-test with Bonferroni adjustment of p-levels. Stars indicate differences according to Chi-Square Test with ***p≤0.000 and **p≤0.01. n.s. = indicates no differences.
a, b, c = Letters indicate significant differences (p≤0.05) between clusters according to z-test in the cross tabulation, e.g. a indicates that this cluster differs from cluster “Late” in this variable with p≤0.05. n.s. = indicates no differences compared to the other cluster (p≥0.05).