This study aims to investigate the relationship between human behaviour, buffalo behaviour and prevalence of oxytocin injection at milking. The research was carried out on 17 buffalo farms. On each farm the stockperson's behaviour toward the buffaloes and the buffaloes' behaviour were observed during one afternoon's milking. Stockperson's behaviour was observed from collection of the animals in the waiting area to exit from the milking parlour. The following variables were recorded: number of positive, neutral and negative interactions. The number of steps and kicks were recorded from the entrance to the milking parlour to the removal of cups whenever the stockperson was less than 0.5 m from the animal. The prevalence of oxytocin injection at milking was recorded on two separate occasions with a 5-month interval to obtain a measure of the long-term consistency of this variable. Significant correlations were found between stepping and kicking, stepping and prevalence of oxytocin injection, kicking and prevalence of oxytocin injection and stockperson positive interactions and kicking. These results indicate that stockperson behaviour is related to buffalo behaviour at milking and the latter to the use of oxytocin injections. In addition, prevalence of oxytocin injection proved to be highly reliable when re-tested five months later.

The objectives of this study were to estimate the genetic parameters and genetic trends for different measures of persistency (PM) for milk yield in Iranian buffaloes using a random regression test day model. Test day records of the first three lactations of buffaloes within 715 herds comprising 43 014, 38 941 and 33 937 records, respectively, were obtained from the Animal Breeding Center of Iran during 1992 to 2012. Legendre polynomial functions were chosen to fit the lactation curves in the framework of a random regression test day model for estimating (co)variance components. Three measures of persistency were modified based on the lactation curve conditions of buffaloes: (1) The average of estimated breeding values (EBVs) for test day milk yields from day 226 to day 270 as a deviation from the average of EBVs from day 44 to day 62 (PM1), (2) A summation of contribution for each day from day 53 to day 247 as a deviation from day 248 (PM2), (3) The difference between EBVs for day 257 and day 80 (PM3). The highest heritability estimates were observed for PM2 over the first three lactations (0·29, 0·80 and 0·42, respectively). Estimates of genetic correlations between persistency measures and milk yield varied from −0·48 to 0·29 (first lactation), from −0·12 to 0·48 (second lactation), and from −0·62 to 0·63 (third lactation). Estimate of genetic trend for first lactation PM2 was negative (−0·0088 ± 0·0043; P < 0·05). It is essential to include milk yield persistency in the breeding goal of Iranian buffaloes along with other important traits such as milk yield or reproductive traits.

The aim of this study was to compare seven non-linear mathematical models (Brody, Wood, Dhanoa, Sikka, Nelder, Rook and Dijkstra) to examine their efficiency in describing the lactation curves for milk fat to protein ratio (FPR) in Iranian buffaloes. Data were 43 818 test-day records for FPR from the first three lactations of Iranian buffaloes which were collected on 523 dairy herds in the period from 1996 to 2012 by the Animal Breeding Center of Iran. Each model was fitted to monthly FPR records of buffaloes using the non-linear mixed model procedure (PROC NLMIXED) in SAS and the parameters were estimated. The models were tested for goodness of fit using Akaike's information criterion (AIC), Bayesian information criterion (BIC) and log maximum likelihood (−2 Log L). The Nelder and Sikka mixed models provided the best fit of lactation curve for FPR in the first and second lactations of Iranian buffaloes, respectively. However, Wood, Dhanoa and Sikka mixed models provided the best fit of lactation curve for FPR in the third parity buffaloes. Evaluation of first, second and third lactation features showed that all models, except for Dijkstra model in the third lactation, under-predicted test time at which daily FPR was minimum. On the other hand, minimum FPR was over-predicted by all equations. Evaluation of the different models used in this study indicated that non-linear mixed models were sufficient for fitting test-day FPR records of Iranian buffaloes.

In order to describe the lactation curves of milk yield (MY) and composition in buffaloes, seven non-linear mathematical equations (Wood, Dhanoa, Sikka, Nelder, Brody, Dijkstra and Rook) were used. Data were 116 117 test-day records for MY, fat (FP) and protein (PP) percentages of milk from the first three lactations of buffaloes which were collected from 893 herds in the period from 1992 to 2012 by the Animal Breeding Center of Iran. Each model was fitted to monthly production records of dairy buffaloes using the NLIN and MODEL procedures in SAS and the parameters were estimated. The models were tested for goodness of fit using adjusted coefficient of determination ( $$_{{{\rm adj}}}^{2} $$ ), root means square error (RMSE), Durbin–Watson statistic and Akaike’s information criterion (AIC). The Dijkstra model provided the best fit of MY and PP of milk for the first three parities of buffaloes due to the lower values of RMSE and AIC than other models. For the first-parity buffaloes, Sikka and Brody models provided the best fit of FP, but for the second- and third-parity buffaloes, Sikka model and Brody equation provided the best fit of lactation curve for FP, respectively. The results of this study showed that the Wood and Dhanoa equations were able to estimate the time to the peak MY more accurately than the other equations. In addition, Nelder and Dijkstra equations were able to estimate the peak time at second and third parities more accurately than other equations, respectively. Brody function provided more accurate predictions of peak MY over the first three parities of buffaloes. There was generally a positive relationship between 305-day MY and persistency measures and also between peak yield and 305-day MY, calculated by different models, within each lactation in the current study. Overall, evaluation of the different equations used in the current study indicated the potential of the non-linear models for fitting monthly productive records of buffaloes.

This review deals with the behaviour of river buffaloes (Bubalus bubalis), in confinement and in extensive conditions, also focusing on the effects of different housing and rearing conditions on their welfare. The behavioural repertoire expressed by buffaloes in extensive and intensive conditions is similar to those displayed by other domestic ruminants. However, through natural selection, buffaloes have also acquired several morphological, physiological and behavioural (i.e. wallowing) adaptations to hot climatic conditions. Buffaloes kept in intensive conditions and having no access to pasture and water for wallowing extend their periods of idling and are less often involved in investigative activities. Confinement is also associated with a reduction of space; however, no specific studies have been carried out to determine the specific requirements of this species. Space restriction can adversely affect various aspects of buffalo welfare, such as health (increased levels of lesions and injuries), social behaviour (increased number of agonistic interactions) and heat dissipation. The buffaloes, originating from tropical areas, are well adapted to large variations in food availability and quality, and to dietetic unbalances. As to human animal relationship, it has been observed that the incidence of stepping and kicking behaviour of buffaloes in the milking parlour is positively correlated with the frequency of oxytocin injections, whereas the frequency of positive stockperson interactions with the animals such as talking quietly, petting and gentle touching are negatively correlated with the number of kicks during milking. Data from farms where both dairy cattle and buffaloes are present show that avoidance distance measured in the pen is lower in buffaloes than in cattle. This may be attributed to the fact that buffaloes are generally recognised to be curious animals. Finally, the effects of different farming practices on animal-related indicators are described. However, these measures should be integrated into a monitoring protocol, such as the Welfare Quality® scheme, to reliably assess buffalo welfare in the current intensive farming conditions.