Evaluation of drinking water intake, feed water intake and total water intake in dry and lactating cows fed silages

Kume, Shinji; Nonaka, K.; Oshita, Takafumi; Kozakai, Takaharu

doi:10.1016/j.livsci.2009.10.012

Cited by 52 publications

(53 citation statements)

References 22 publications

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“…The average BW (655 kg) of the cows in the current investigation was in agreement with results of other studies using Holstein cows (Maekawa et al, 2002;Meyer et al, 2004;Kume et al, 2010). In the majority of cows, BW was reduced with a weak decline recorded on the day of estrus.…”

supporting

confidence: 91%

“…Correlations between DMI, WI, and BW and estrus DMI is one of the most important factors affecting WI of dairy cows (Kume et al, 2010). In the present study, a close relationship between DMI and WI existed during the reference period, which is similar to that detected by Holter and Urban (1992) (r = 0.69), higher to that reported by Meyer et al (2004) (r = 0.107) and lower to the correlation indicated by Kume et al (2010) (r = 0.83).…”

supporting

confidence: 63%

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Influence of estrus on dry matter intake, water intake and BW of dairy cows

Reith

Pries²,

Verhülsdonk³

et al. 2014

Animal

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The objectives of this study were to analyze whether dry matter intake (DMI), water intake (WI) and BW were influenced by estrus. A second objective was to determine whether correlations exist among these traits in non-estrous days. Data collection included 34 Holstein-Friesian cows from the research farm 'Haus Riswick' of the Agricultural Chamber North Rhine-Westphalia, Germany. On an individual basis, daily DMI and daily WI were measured automatically by a scale in the feeding trough and a WI monitoring system, respectively. BW was determined by a walk-through scale fitted with two gates -one in front and one behind the scale floor. Data were analyzed around cow's estrus with day 0 (the day of artificial insemination leading to conception). Means during the reference period, defined as days − 3 to − 1 and 1 to 3, were compared with the means during estrus (day 0). DMI, WI and BW were affected by estrus. Of all cows, 85.3% and 66.7% had reduced DMI and WI, respectively, on day 0 compared with the reference period. Lower BW was detected in 69.2% of all cows relative to the reference period. During the reference period, average DMI, WI and BW were 23.0, 86.6 and 654.8 kg. A minimum DMI of 20.4 kg and a minimum BW of 644.2 kg were detected on the day of estrus, whereas the minimum WI occurred on the day before estrus. After estrus, DMI, WI and BW returned to baseline values. Intake of concentrated feed did not seem to be influenced by estrus. Positive correlations existed between daily DMI and daily WI (r = 0.63) as well as between cows' daily BW and daily WI (r = 0.23). The results warrant further investigations to determine whether monitoring of DMI, WI and BW may assist in predicting estrus.

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supporting

confidence: 91%

supporting

confidence: 63%

Influence of estrus on dry matter intake, water intake and BW of dairy cows

Reith

Pries²,

Verhülsdonk³

et al. 2014

Animal

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“…When multiple models had similar likelihood values, the model associated with the least Bayesian information criteria was chosen as the best prediction model. All the meta-analyses were Castle and Watson, 1973;Castle and Thomas, 1975;Little et al, 1976;Holter et al, 1982;Murphy et al, 1983;Stockdale and King, 1983;Andersson et al, 1984;Woodford et al, 1984;Andersson, 1985;Janicki et al, 1985;Nocek and Braund, 1985;Richards, 1985;Anderson, 1987;Gorewit et al, 1989;Holter et al, 1990Shalit et al, 1991;Bahman et al, 1993;Dado and Allen, 1993, 1995, 1996Silanikove et al, 1997;Dahlborn et al, 1998;Dewhurst et al, 1998;Muller et al, 1994;Mooney and Allen, 1997;Burgos et al, 2001;Osborne et al, 2002aOsborne et al, , 2009Voelker and Allen, 2003;Cottee et al, 2004;Meyer et al, 2004;Taylor and Allen, 2005;Harvatine and Allen, 2006;Chaiyabutr et al, 2007Chaiyabutr et al, , 2008Thomas et al, 2007;Cardot et al, 2008;Kume et al, 2008Kume et al, , 2010Longuski et al, 2009;Kramer et al, 2009;…”

mentioning

confidence: 99%

“…1 Seif et al, 1973;Woodford et al, 1984;Silanikove et al, 1997;Osborne et al, 2002bOsborne et al, , 2009Kojima et al, 2005;Kume et al, 2010;Khelil-Arfa et al, 2014;Lamp et al, 2015. …”

mentioning

confidence: 99%

Prediction of drinking water intake by dairy cows

Appuhamy

Judy

Kebreab

et al. 2016

Journal of Dairy Science

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Mathematical models that predict water intake by drinking, also known as free water intake (FWI), are useful in understanding water supply needed by animals on dairy farms. The majority of extant mathematical models for predicting FWI of dairy cows have been developed with data sets representing similar experimental conditions, not evaluated with modern cows, and often require dry matter intake (DMI) data, which may not be routinely available. The objectives of the study were to (1) develop a set of new empirical models for predicting FWI of lactating and dry cows with and without DMI using literature data, and (2) evaluate the new and the extant models using an independent set of FWI measurements made on modern cows. Random effect meta-regression analyses were conducted using 72 and 188 FWI treatment means with and without dietary electrolyte and daily mean ambient temperature (TMP) records, respectively, for lactating cows, and 19 FWI treatment means for dry cows. Milk yield, DMI, body weight, days in milk, dietary macro-nutrient contents, an aggregate milliequivalent concentration of dietary sodium and potassium (NaK), and TMP were used as potential covariates to the models. A model having positive relationships of DMI, dietary dry matter (DM%), and CP (CP%) contents, NaK, and TMP explained 76% of variability in FWI treatment means of lactating cows. When challenged on an independent data set (n = 261), the model more accurately predicted FWI [root mean square prediction error as a percentage of average observed value (RMSPE%) = 14.4%] compared with a model developed without NaK and TMP (RMSPE% = 17.3%), and all extant models (RMSPE% ≥ 15.7%). A model without DMI included positive relationships of milk yield, DM%, NaK, TMP, and days in milk, and explained 63% of variability in the FWI treatment means and performed well (RMSPE% = 17.9%), when challenged on the independent data. New models for dry cows included positive relationships of DM% and TMP along with DMI or body weight. The new models with and without DMI explained 75 and 54% of the variability in FWI treatment means of dry cows and had RMSPE% of 12.8 and 15.2%, respectively, when evaluated with the literature data. The study offers a set of empirical models that can assist in determining drinking water needs of dairy farms.

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“…At a given DMI level, when the DM content of the feed decreased, the amount of water ingested with feed decreased and the cows had to increase their FWI intake to maintain an amount of TWI consistent with DMI. This was also observed by Kume et al (2010). The inclusion of DM content as an important predictor of FWI has been considered by, at least, all the authors who considered diets based on fresh herbage, such as Paquay et al (1970), Stockdale and King (1983) and Castle and Thomas (1970).…”

Section: Discussionmentioning

confidence: 86%

Prediction of water intake and excretion flows in Holstein dairy cows under thermoneutral conditions

Khelil-Arfa

Boudon

Maxin

et al. 2012

animal

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The increase in the worldwide demand for dairy products, associated with global warming, will emphasize the issue of water use efficiency in dairy systems. The evaluation of environmental issues related to the management of animal dejections will also require precise biotechnical models that can predict effluent management in farms. In this study, equations were developed and evaluated for predicting the main water flows at the dairy cow level, based on parameters related to cow productive performance and diet under thermoneutral conditions. Two datasets were gathered. The first one comprised 342 individual measurements of water balance in dairy cows obtained during 18 trials at the experimental farm of Mé jussaume (INRA, France). Predictive equations of water intake, urine and fecal water excretion were developed by multiple regression using a stepwise selection of regressors from a list of seven candidate parameters, which were milk yield, dry matter intake (DMI), body weight, diet dry matter content (DM), proportion of concentrate (CONC) and content of crude protein (CP) ingested with forage and concentrate (CPf and CPc, g/kg DM). The second dataset was used for external validation of the developed equations and comprised 196 water flow measurements on experimental lots obtained from 43 published papers related to water balance or digestibility measurements in dairy cows. Although DMI was the first predictor of the total water intake (TWI), with a partial r 2 of 0.51, DM was the first predictive parameter of free water intake (FWI), with a partial r 2 of 0.57, likely due to the large variability of DM in the first dataset (from 11.5 to 91.4 g/100 g). This confirmed the compensation between water drunk and ingested with diet when DM changes. The variability of urine volume was explained mainly by the CPf associated with DMI (r.s.d. 5.4 kg/day for an average flow of 24.0 kg/day) and that of fecal water was explained by the proportion of CONC in the diet and DMI. External validation showed that predictive equations excluding DMI as predictive parameters could be used for FWI, urine and fecal water predictions if cows were fed a well-known total mixed ration. It also appeared that TWI and FWI were underestimated when ambient temperature increased above 258C and possible means of including climatic parameters in future predictive equations were proposed.

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Evaluation of drinking water intake, feed water intake and total water intake in dry and lactating cows fed silages

Cited by 52 publications

References 22 publications

Influence of estrus on dry matter intake, water intake and BW of dairy cows

Influence of estrus on dry matter intake, water intake and BW of dairy cows

Prediction of drinking water intake by dairy cows

Prediction of water intake and excretion flows in Holstein dairy cows under thermoneutral conditions

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