SciELO - Scientific Electronic Library Online

 
vol.29Monitoreo de residuos de pesticidas y sus metabolitos en frutilla comercializada en UruguayAcondicionamiento de semillas de Teramnus labialis (L.f.) Spreng con un com-puesto orgánico: Efectos en la germinación y el crecimiento inicial de las plántulas índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Links relacionados

Compartir


Agrociencia Uruguay

versión On-line ISSN 2730-5066

Agrocienc. Urug. vol.29  Montevideo  2025  Epub 01-Dic-2025

https://doi.org/10.31285/agro.29.1467 

Articles

Temperament of New Zealand and North American Holstein cows maintained in two different feeding strategies

Temperamento de vacas Holando de origen neozelandés y norteamericano mantenidas en dos estrategias alimentarias diferentes

Temperamento de vacas Holandesas Neozelandesas e Norte-americanas mantidas sob duas diferentes estratégias alimentares

1Instituto Nacional de Investigación Agropecuaria (INIA), Programa Nacional de Producción de Leche, Estación Experimental INIA La Estanzuela, Colonia, Uruguay, jmorales@inia.org.uy

2Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias da Unesp (FCAV), Câmpus de Jaboticabal, Jaboticabal, São Paulo, Brasil

3Universidad de la República, Facultad de Veterinaria, Departamento de Biociencias Veterinarias, Montevideo, Uruguay

4Universidad de la República, Facultad de Veterinaria, Núcleo de Bienestar Animal, Montevideo, Uruguay


Abstract:

Genetics is a factor that influences the dairy cows’ temperament. The objective of the present study was to compare the responses to different temperament tests of New Zealand (NZ) and North American (NA) Holstein cows maintained in two different feeding strategies. A total of 120 cows from the Experimental dairy farm of the National Agricultural and Livestock Research Institute (in Spanish, INIA, Uruguay) were grouped into two Holstein strains: NZ or NA, and two feeding strategies: Grass Maximum or Grass Fixed. Milking reactivity (MR), Flight speed and Distance (FD) were assessed in two periods (107.5 ± 30.3 and 173.8 ± 32.1 days in milk). The averages of these repetitions were used in general linear models with Holstein strains (NZ vs. NA), parity (primiparous vs. multiparous), feeding system (Grass Maximum vs. Grass Fixed), and all two-factor interactions as fixed effects. For MR, there was an interaction between strains and parity. The difference between NZ and NA was observed only for multiparous cows, with higher MR in NZ (2.93 ± 1.18) than in NA (2.00 ± 0.90) (P=0.0004). The NZ cows had longer FD (4.2 ± 1.3 m) than NA cows (3.7 ± 1.1 m) (P=0.03). Feeding system did not affect the cow’s reactivity. In conclusion, dairy Holstein cows’ genetic strain was a factor related to MR and FD tests. In the milking parlor, multiparous NZ cows were more reactive than NA, which did not happen for the primiparous ones. The NZ cows were more reactive to humans than NA in the paddock, exhibiting longer flight distances.

Keywords: biotype; cattle; milk; personality

Resumen:

La genética es un factor que influye en el temperamento animal. El objetivo de este trabajo fue comparar la respuesta a tres pruebas de temperamento de vacas Holando neozelandesas (NZ) y norteamericanas (NA) bajo dos estrategias de alimentación. Ciento veinte vacas de la Unidad Experimental del Instituto Nacional de Investigación Agropecuaria (INIA, Uruguay) fueron agrupadas en una combinación de dos orígenes genéticos: NZ o NA, con dos estrategias de alimentación: Máximo pasto o Pasto fijo. La reactividad al ordeñe (RO), la velocidad de fuga y la distancia de fuga (DF) fueron evaluadas en dos períodos (107,5 ± 30,3 y 173,8 ± 32,1 días en leche), y el promedio de esas dos mediciones por animal fue utilizado en modelos lineales generales con la genética (NZ vs NA), la paridad (primíparas vs multíparas), la estrategia de alimentación (Máximo pasto vs. Pasto fijo) y sus interacciones como efectos fijos. Hubo una interacción entre origen genético y paridad para la RO. Las diferencias entre vacas NZ y NA fueron solo observadas en multíparas, presentando mayores valores las vacas NZ (2,93 ± 1,18) que las NA (2,00 ± 0,90) (P=0.0004). Las vacas NZ presentaron mayor DF (4,2 ± 1,3 m) que vacas NA (3,7 ± 1,1 m) (P=0,03). La estrategia de alimentación no afectó la respuesta a ninguna prueba. En conclusión, el origen genético de vacas lecheras Holstein influenció la reactividad a las pruebas de temperamento RO y DF. Las vacas NZ fueron más reactivas al humano y al ordeñe que las vacas NA, pero las diferencias en RO fueron solo observadas en vacas multíparas.

Palabras clave: biotipo; bovino; leche; personalidad

Resumo:

A genética é um fator que influencia o temperamento dos animais. O objetivo deste trabalho foi comparar vacas holandesas de linhagens neozelandesas (NZ) e norte-americanas (NA) quanto à reatividade avaliada por meio de três testes de temperamento. Foram avaliadas 120 vacas da Unidade Experimental do Instituto Nacional de Investigación Agropecuaria (INIA, Uruguai) de 4 grupos genéticos: NZ ou NA, mantidas sob duas estratégias alimentares: pastejo máximo ou pastejo fixo. A reatividade na ordenha (RO), a velocidade de fuga e a distância de fuga (DF) foram avaliadas em dois períodos (107,5 ± 30,3 e 173,8 ± 32,1 dias de lactação). A média das repetições por animal foi utilizada como variável dependente em modelos lineares gerais que incluíram a genética (NZ ou NA), ordem do parto (primíparas ou multíparas), estratégia alimentar (pastejo máximo ou pastejo fixo), e suas interações como efeitos fixos. Houve interação entre grupo genético e ordem do parto para RO. As diferenças entre vacas NZ e NA foram observadas apenas em multíparas, sendo que vacas NZ apresentaram valores maiores (2,93 ± 1,18) que as vacas NA (2,00 ± 0,90) (P=0,0004). As vacas NZ tiveram maior DF (4,2 ± 1,3 m) que as vacas NA (3,7 ± 1,1 m, P=0,03). A estratégia alimentar não teve efeito nas respostas dos testes. Conclui-se que a origem genética influenciou a reatividade nos testes de temperamento de RO e DF. As vacas NZ foram mais reativas ao homem e à ordenha do que as vacas NA, porém as diferenças na reatividade à ordenha foram observadas apenas em vacas multíparas.

Palavras-chave: biotipo; bovino; leite; personalidade

1. Introduction

Efficiency indicators in milk systems are affected by several factors which could be related to individual characteristics. Interindividual differences in animals’ behavioral responses to different environmental circumstances are defined as temperament 1)(2) 3. For dairy cows, temperament has been associated with productivity (milk yield, quality, and milk ability) 4)(5)6)(7) ; metabolic features 8)(9) , and behaviors such as adaptation to a novel milking system 10)(11) . However, the knowledge about what determines or modulates temperament remains limited. Genetics is a factor that influences the cows’ temperament, since differences between dairy breeds have been reported 12)(13) 14. Additionally, the differences in productivity among breeds could be, in part, explained by temperament differences 12)(15) 16. In Uruguay, North American (NA) Holstein is the most common dairy strain (78%), but cows of New Zealand (NZ) origin (13%) have increased17. Previous studies have reported that NZ cows produced lower individual milk yield but higher milk component concentrations18, spending more time eating total mixed ration19 and having greater energy and feed efficiency than NA cows20, although both had a similar economic-productive breeding index. A possible explanation for the differences in milk yield between cows of different temperament is the human-animal relationship 21)(22) . Therefore, differences in milk yield between NZ and NA could be attributed to variations in their reactivity to humans, such as milking reactivity, across both strains. The genetic differences in temperament between strains could be due to history of pasture breeding and selection based on productivity and body size of each one 23)(24) . Additionally, the feeding system could be another factor that affects the cow’s reactivity. In pasture-based management systems, human-cow interaction is typically lower than in indoor housing systems, which could result in cows under grazing systems showing greater reactivity in tests that assess fear of humans, such as increased flight distance 25)(26) 27. According to our knowledge, studies comparing the cow’s temperament of the different breeds or by different strains within the same breed are scarce. Thus, we hypothesize that the NZ cows would have greater reactivity to different temperament tests than NA ones, and cows under pasture system will show greater reactivity than cows under pasture+partial mixed ration. The objective of the present study was to compare the responses to different temperament tests of NA and NZ Holstein cows maintained in two different feeding strategies (pasture or pasture+partial mixed ration).

2. Materials and methods

An experiment study18 was carried out with 120 Holstein cows over a one-lactation period at the experimental station of the National Agricultural and Livestock Research Institute (in Spanish, INIA), Colonia, Uruguay (34°20′ S, 57°41′ W). All procedures were approved by the Ethics Committee of INIA (file number INIA.2019.11). A full description of the experimental design was included in Stirling and others18. Four groups were derived from the combination of two feeding strategies: Grass Maximum or Grass Fixed, and two Holstein strains: NZ or NA. The Grass Maximum and Grass Fixed feeding strategies differed in the proportions of grazed pasture in the diet with the same level of concentrate per cow. The cows in Grass Fixed were fed an allowance of ⅓ pasture, ⅓ concentrate, and ⅓ silage. The silage was offered as a partial mixed ration on a concrete and dirt feedpad (4.5 m2/cow), and the total area (feeding and rest area) was 240 m2 per cow. The cows in Grass Maximum had a flexible pasture allowance determined by the pasture growth rate, which was estimated weekly, offering whole-crop silage on a feedpad as a buffer in case of pasture shortage. The pasture was a mix of Festuca arundinacea, Dactylis glomerata, Medicago sativa, and Lolium multiflorum. The commercial concentrate was offered daily and individually in the milking parlor.

Thirty NA and 30 NZ cows were randomly assigned to each feeding strategy before calving, ensuring that groups were balanced for expected calving date, parity, milk yield, and milk fat content from the previous lactation. Finally, of the 60 cows in each Holstein strain cow temperament was assessed in a total of 48 NZ cows (primiparous: 12, multiparous: 36) and 50 NA cows (primiparous: 19, multiparous: 31), in the milking parlor (herringbone type) using a milking reactivity score (MR), and in the handling pen using flight speed and flight distance tests (details given below). The tests in the milking and handling pen were performed on the same day at 107.5 ± 30.3 and 173.8 ± 32.1 days in milk (two repetitions). First, the MR was assessed during afternoon milking, and then the cows were transferred to the handling pen where the other tests were performed, by the same observer. Milking reactivity was measured using a method modified from Sutherland and Huddart28. Each cow was scored based on the stepping and kicking behaviors using an 8-point scale during preparation for milking and attachment of the milking cluster: (1) no hind foot movement, (2) one or two slow and gentle (hoof elevated at less than 15 cm above the ground) hind limb movements, (3) three or more slow and gentle hind limb movements in inconstant rhythm (not moving during the whole procedure), (4) three or more slow and gentle hind limb constant movements (during the whole procedure), (5) vigorous hind limb movements (elevating hooves 15 cm above the ground), (6) vigorous and constant hind limb movements, (7) kicking the milker, elevating the hind hoof above hock line and directing it laterally, and (8) the cow presented high reactivity and had to have one or both hind limbs tied to enable the procedure to be performed. The observation was made by one observer positioned behind the animal in the milker pit, being able to observe both hind legs.

Flight speed (FS) was measured using a method modified from Gibbons and others29. The time taken by each cow to exit the squeeze chute and cover a distance of 2.7 m was recorded using a purpose-built device that measured exit speed. The unit comprised two light beams and reflectors and one readout unit. Once the cow passed through both light beams, the exit time was recorded in seconds and converted into speed, in m/s. The handler stood approximately 1 m away from the side of the crush and behind the shoulder of the animal during the test. Flight distance (FD) was measured using a method modified by Waiblinger and others26. The distance (in m) that cows allowed a non-familiar person to approach before expressing the first withdrawal response was recorded. The test was performed with each cow individually kept in a pen of 131 m2. After the cows exited the squeeze chute, the observer remained stationary on the opposite side of the pen entrance, approximately 8 m away from the cow, waiting for the cow to stand still before starting the test. Then, the person approached the animal slowly (one step per s), with her hands down and arms held close to the body. When the cow expressed any withdrawal reaction (i.e., the animal moved both forelimbs), the observer stopped and measured the distance to the cow's nearest front hoof using an odometer (MW40M, Stanley, USA).

Cows were weighed individually and fortnightly after the morning milking throughout lactation using a portable electronic scale (Farmquip Ltd., Hawke's Bay, New Zealand). All statistical analyses were carried out with SAS software (version 9.4, SAS Institute Inc., Cary, NC, USA). Univariate analyses were performed to identify outliers and to verify the normality of residuals, and homogeneity of variances was verified with Levene’s test. Considering that the day of assessment (107.5 and 173.8 days in milk) did not affect the cow’s reactivity, we averaged the two repetitions by each test to obtain a single value per cow for the analyses. General linear models (GLM procedure) were used for the dependent variables FS and FD, and a generalized linear model with gamma distribution and inverse link function (GENMOD procedure) was used for MR. Fixed effects of Holstein strains (NZ and NA), parity (primiparous and multiparous), feeding system (Grass Maximum and Grass Fixed), and all two-factor interactions were included. Non-significant interactions (α>0.05) were excluded from the final models. In addition, body weight average was compared between primiparous and multiparous cows by GLM procedure. Post-hoc analysis was performed using Tukey´s test. The α values were considered significant when ≤0.05, and the data are presented as least square means ± SEM.

3. Results and discussion

For MR, the main factors of strain and parity were not significant, but their interaction affected cows’ reactivity (P=0.05). The difference on MR between NZ and NA was observed only for multiparous cows, with higher milking reactivity for NZ than NA (Table 1). The Holstein strains differed for FD (P=0.03), with longer flight distances for NZ (4.2 ± 1.3 m) than for NA (3.7 ± 1.1 m) cows, without parity effect. The FS was not affected by both factors studied (1.18 ± 0.3 m/s; mean ± SD). Finally, the feeding system did not affect the cow’s reactivity nor their interactions with strain.

Table 1: Milking reactivity (MR) of primiparous and multiparous Holstein cows of two genetic strains (North American - NA, and New Zealand - NZ) 

Different letters in the same column are main statistical differences between Holstein strain in the same cow parity (capital letters, p≤0.05), and between parity in the same strain (lowercase letters p≤0.05).

To our knowledge, this is the first study evaluating the relationship between temperament tests and Holstein genetic strains. The current study showed that NZ cows were more reactive to humans in both milking (MR) and paddock (FD) than NA cows. However, at milking this difference was only shown for multiparous cows. Differences for temperament among dairy breeds have been reported in previous studies30. For example, in a study conducted in New Zealand Jersey, cows were regarded as more “placid” during milking than Holstein cows of NZ origin31. In its turn, Mpisana and others32 compared crossbred Jersey × Friesian with purebred Friesian cows in South Africa, showing that the crossbreds had greater avoidance distance but lower milking reactivity than the Friesian cows reared in the same environment. To our knowledge, this is the first study to examine temperament differences of NZ and NA breeding lines. As evidenced in our study, cows of different genetic lines cannot only differ in physical and productive parameters 18)(20)23)(24) , but also in their behavior. The genetic selection could explain the greater flight distance and milking reactivity in NZ than in NA cows, since both lines were breeding under different environmental circumstances and with different goals. The effects of selection primarily for some traits (e.g. productivity or body size) could be related to the temperament genomic loci 30)(33) 34. On one hand, for Holstein cows of NA origin the genetic correlation between milking temperament and milk flow was reported, as well as genetic correlations between bull EBV for milking temperament and milk flow and with various reproduction, conformation, and auxiliary traits35. On the other hand, the NZ cows have been selected for smaller body size23, which could be associated with reactive temperament34. Additionally, cows of lower weight or smaller sizes could be characterized as more “nervous/anxious”32, since smaller animals would have more room to move in the milking parlor36. This also might be an explanation for our findings, since our NZ cows were smaller than NA18. The NZ cows were also more reactive than NA cows for MR test, but this was observed only in multiparous animals. First, we could speculate that for primiparous, the novel milking environment would lead to high milking reactivity, making it difficult to observe differences between strains (NZ or NA). In fact, previous studies reported that primiparous Holstein cows had higher incidence of stepping and kicking during milking than multiparous ones 4)(6) 37. It is interesting to highlight that for NZ cows we did not observe MR differences between primiparous and multiparous.

Based on the results, we suggest that NA cows reduce their reactivity over time, which would not be the case of NZ cows. The strain differences in MR could also be attributed to variations in body size, which only differed between multiparous cows of both strains. In primiparous, the body weight did not differ for both strains (NZ= 450.3 ± 13.5 Kg, NA= 505.6 ± 51.5 Kg, P= 0.09). However, in multiparous, NZ cows were lighter (544.0 ± 58.5 Kg) than NA multiparous cows (625.4 ± 68.1 Kg) (P<0.0001), explaining the strains differences only for multiparous cows. Finally, it is interesting to note the result that the feeding system did not affect the temperament of the cows. In this sense, not only the different interaction with humans, but also the characteristics of the feed itself in composition as well as in other behavioral parameters (such as grazing) did not greatly influence temperament in our study.

Beyond our results, future studies would be important to evaluate whether different feeding systems can affect temperament by considering other variables, such as animal density, feeding management characteristics (for example, 100% confinement and 100% pasture systems), as well as different diets, among other factors. The advantages of a herd with calm animals could be fewer human accidents and less stressed cows during milking, therefore, fewer negative effects on milk production. However, this could be true in conventional milking systems, as automatic milking systems (AMS) are recommended for reactive animals11. In this sense, future research should determine the reactivity and productivity of both Holstein strains in other milking systems, such as the AMS. In addition, reducing the susceptibility of dairy cows to be frightened should improve their ability to adapt to various farm environments and, consequently, enhance farm economy and animal welfare.

4. Conclusions

In conclusion, dairy cows’ genetic strain and parity were factors related to temperament in adult Holstein cows, mainly in MR and FD tests. In the milking parlor, multiparous NZ cows were more reactive than NA cows, what did not happen for the primiparous ones, for which the variations between both strains were not evident. The NZ cows were more reactive to humans than NA cows in the paddock, exhibiting longer flight distances.

Acknowledgements:

The authors thank Jacqueline Santa Cruz for her help with the data collection in the project. Financial support was provided by the National Agricultural and Livestock Research Institute (INIA, Route 50, 11 km, Colonia, Uruguay (Grant No. N-18284 PL_21_0_00)). Also, Aline Cristina Sant’Anna received a Productivity Grant by the Brazilian National Research Council CNPq.

References

1. Fordyce G, Goddard ME, Seifert GW. The measurement of temperament in cattle and the effect of experience and genotype. Proc Aust Soc Anim Prod. 1982;14:329-32. [ Links ]

2. Réale D, Reader SM, Sol D, McDougall PT, Dingemanse NJ. Integrating animal temperament within ecology and evolution. Biol Rev Camb Philos Soc. 2007;82(2):291-318. Doi: 10.1111/j.1469-185X.2007.00010.x. [ Links ]

3. Koolhaas JM, de Boer SF, Coppens CM, Buwalda B. Neuroendocrinology of coping styles: towards understanding the biology of individual variation. Front Neuroendocrinol. 2010;31(3):307-21. Doi: 10.1016/j.yfrne.2010.04.001. [ Links ]

4. Sutherland MA, Dowling SK. The relationship between responsiveness of first-lactation heifers to humans and the behavioral response to milking and milk production measures. J Vet Behav. 2014;9:30-3. Doi: 10.1016/j.jveb.2013.09.001. [ Links ]

5. Hedlund L, Løvlie H. Personality and production: nervous cows produce less milk. J Dairy Sci. 2015;98(9):5819-28. Doi: 10.3168/jds.2014-8667. [ Links ]

6. Antanaitis R, Juozaitienė V, Jonike V, Čukauskas V, Urbšienė D, Urbšys A, Baumgartner W, Paulauskas A. Relationship between temperament and stage of lactation, productivity and milk composition of dairy cows. Animals (Basel). 2021;11(7):1840. Doi: 10.3390/ani11071840. [ Links ]

7. Marçal-Pedroza MG, Canozzi MEA, Campos MM, Sant'Anna AC. Effects of dairy cow temperament on milk yield: a systematic review and meta-analysis. J Anim Sci. 2023;101:skad099. Doi: 10.1093/jas/skad099. [ Links ]

8. Marçal-Pedroza MG, Campos MM, Sacramento JP, Pereira LGR, Machado FS, Tomich TR, Paranhos da Costa MJR, Sant'Anna AC. Are dairy cows with a more reactive temperament less efficient in energetic metabolism and do they produce more enteric methane? Animal. 2021;15(6):100224. Doi: 10.1016/j.animal.2021.100224. [ Links ]

9. Morales-Piñeyrúa JT, Damián JP, Banchero G, Blache D, Sant'Anna AC. Metabolic profile and productivity of dairy Holstein cows milked by a pasture-based automatic milking system during early lactation: effects of cow temperament and parity. Res Vet Sci. 2022;147:50-9. Doi: 10.1016/j.rvsc.2022.04.001. [ Links ]

10. Sutherland MA, Rogers AR, Verkerk GA. The effect of temperament and responsiveness towards humans on the behavior, physiology and milk production of multi-parous dairy cows in a familiar and novel milking environment. Physiol Behav. 2012;107(3):329-37. Doi: 10.1016/j.physbeh.2012.07.013. [ Links ]

11. Morales-Piñeyrúa JT, Sant'Anna AC, Banchero G, Damián JP. Dairy cows' temperament and milking performance during the adaptation to an automatic milking system. Animals (Basel) . 2023;13(4):562. Doi: 10.3390/ani13040562. [ Links ]

12. Sewalem A, Miglior F, Kistemaker GJ. Analysis of the relationship between workability traits and functional longevity in Canadian dairy breeds. J Dairy Sci . 2010;93(9):4359-65. Doi: 10.3168/jds.2009-2969. [ Links ]

13. Norris D, Ngambi JW, Mabelebele M, Alabi OJ, Benyi K. Genetic selection for docility: a review. J Anim Plant Sci. 2014;24(1):13-8. [ Links ]

14. Friedrich J, Brand B, Schwerin M. Genetics of cattle temperament and its impact on livestock production and breeding: a review. Arch Anim Breed. 2015;58:13-21. Doi: 10.5194/aab-58-13-2015. [ Links ]

15. Berry DP, Harris BL, Winkelman AM, Montgomerie W. Phenotypic associations between traits other than production and longevity in New Zealand dairy cattle. J Dairy Sci . 2005;88(8):2962-74. Doi: 10.3168/jds.S0022-0302(05)72976-3. [ Links ]

16. Orbán M, Gaál KK, Pajor F, Szentléleki A, Póti P, Tőzsér J, Gulyás L. Effect of temperament of Jersey and Holstein Friesian cows on milk production traits and somatic cell count. Arch Anim Breed . 2011;54(6):594-9. Doi: 10.5194/aab-54-594-2011. [ Links ]

17. INALE. Encuesta Lechera 2019: resultados preliminares (Internet). Montevideo: INALE; 2019 (cited 2025 Feb 27). Available from: Available from: https://www.inale.org/estadisticas/encuesta-lechera-2019-resultados-preliminares/Links ]

18. Stirling S, Delaby L, Mendoza A, Fariña S. Intensification strategies for temperate hot-summer grazing dairy systems in South America: effects of feeding strategy and cow genotype. J Dairy Sci . 2021;104(12):12647-63. Doi: 10.3168/jds.2021-20507. [ Links ]

19. Mendoza A, Fernandez G, Fariña S, Capelesso A, Cajarville C, Ungerfeld R. Holstein genetic strains and feeding system affects feeding behaviour strategy of dairy cows during late lactation (Internet). 2018 (cited 2025 Feb 27). Available from: Available from: https://www.researchgate.net/publication/333811810_Holstein_genetic_strains_and_feeding_system_affects_feeding_behaviour_strategy_of_dairy_cows_during_late_lactation . [ Links ]

20. Talmón D, Mendoza A, Carriquiry M. Holstein strains affects energy and feed efficiency in a grazing dairy system. Anim Prod Sci. 2022;62:765-73. Doi: 10.1071/AN20587. [ Links ]

21. Breuer K, Hemsworth PH, Barnett JL, Matthews LR, Coleman GJ. Behavioural response to humans and the productivity of commercial dairy cows. Appl Anim Behav Sci. 2000;66(4):273-88. Doi: 10.1016/s0168-1591(99)00097-0. [ Links ]

22. Hemsworth PH. Human-animal interactions in livestock production. Appl Anim Behav Sci . 2003;81:185-98. Doi: 10.1016/s0168-1591(02)00280-0. [ Links ]

23. Miglior F, Muir BL, Van Doormaal BJ. Selection indices in Holstein cattle of various countries. J Dairy Sci . 2005;88(3):1255-63. Doi: 10.3168/jds.S0022-0302(05)72792-2. [ Links ]

24. Harris BL, Kolver ES. Review of Holsteinization on intensive pastoral dairy farming in New Zealand. J Dairy Sci . 2001;84 Suppl.:E56-E61. Doi: 10.3168/jds.S0022-0302(01)70197-X. [ Links ]

25. Battini M, Andreoli E, Barbieri S, Mattiello S. Long-term stability of avoidance distance tests for on-farm assessment of dairy cow relationship to humans in alpine traditional husbandry systems. Appl Anim Behav Sci . 2011;135:267-70. Doi: 10.1016/j.applanim.2011.10.013. [ Links ]

26. Waiblinger S, Boivin X, Pedersen V, Tosi MV, Janczak AM, Visser EK, Jones RB. Assessing the human-animal relationship in farmed species: a critical review. Appl Anim Behav Sci . 2006;101:185-242. Doi: 10.1016/j.applanim.2006.02.001. [ Links ]

27. Crossley RE, Bokkers EAM, Browne N, Sugrue K, Kennedy E, de Boer IJM, Conneely M. Assessing dairy cow welfare during the grazing and housing periods on spring-calving, pasture-based dairy farms. J Anim Sci . 2021;99(5):skab093. Doi: 10.1093/jas/skab093. [ Links ]

28. Sutherland MA, Huddart FJ. The effect of training first-lactation heifers to the milking parlor on the behavioral reactivity to humans and the physiological and behavioral responses to milking and productivity. J Dairy Sci . 2012;95(12):6983-93. Doi: 10.3168/jds.2011-5211. [ Links ]

29. Gibbons JM, Lawrence AB, Haskell MJ. Consistency of flight speed and response to restraint in a crush in dairy cattle. Appl Anim Behav Sci . 2011;131:15-20. Doi: 10.1016/j.applanim.2011.01.009. [ Links ]

30. Haskell MJ, Simm G, Turner SP. Genetic selection for temperament traits in dairy and beef cattle. Front Genet. 2014;5:368. Doi: 10.3389/fgene.2014.00368. [ Links ]

31. Chan FY. Genome wide association studies for temperament in New Zealand dairy cattle (master’s thesis). Palmerston North (NZ): Massey University; 2012. 93p. [ Links ]

32. Mpisana Z, Jaja IF, Oguttu J, Muchenje V. Avoidance behaviour of first lactating cows in a pasture-based dairy system in South Africa. J Anim Health Prod. 2021;9(3):277-84. Doi: 10.17852/journal.jahp/2021/9.3.277.284. [ Links ]

33. Chen Q, Zhang F, Qu K, Hanif Q, Shen J, Jia P, Ning Q, Zhan J, Zhang J, Chen N, Chen H, Huang B, Lei C. Genome-wide association study identifies genomic loci associated with flight reaction in cattle. J Anim Breed Genet. 2020;137(5):477-85. Doi: 10.1111/jbg.12461. [ Links ]

34. Lawstuen DA, Hansen LB, Steuernagel GR, Johnson LP. Management traits scored linearly by dairy producers. J Dairy Sci . 1988;71:788-99. Doi: 10.3168/jds.S0022-0302(88)79619-8. [ Links ]

35. Sewalem A, Miglior F, Kistemaker GJ. Genetic parameters of milking temperament and milking speed in Canadian Holsteins. J Dairy Sci . 2011;94(1):512-6. Doi: 10.3168/jds.2010-3479. [ Links ]

36. Jago J, Kerrisk K. Training methods for introducing cows to a pasture-based automatic milking system. Appl Anim Behav Sci. 2011;131:79-85. Doi: 10.1016/j.applanim.2011.02.002. [ Links ]

37. Cerqueira JOL, Araújo JPP, Blanco-Penedo I, Cantalapiedra J, Sørensen JT, Niza-Ribeiro JJR. Relationship between stepping and kicking behavior and milking management in dairy cattle herds. J Vet Behav . 2017;19:72-7. Doi: 10.1016/j.jveb.2017.02.002. [ Links ]

Transparency of data Data not available: The data set that supports the results of this study is not publicly available.

Author contribution statement JTMP: Conceptualization; Formal analysis; Investigation; Project administration; Writing - original draft ACS: Conceptualization; Methodology; Writing - review & editing JPD: Conceptualization; Methodology; Writing - review & editing

Editor The following editor approved this article: Mariana Carriquiry (https://orcid.org/0000-0002-1600-2591) Universidad de la República, Montevideo, Uruguay

Received: March 18, 2024; Accepted: September 23, 2024

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License