Water Partitioning and Intake Prediction in Dry and Lactating Holstein Cows

Holter, J.B.; Urban, W. E.

doi:10.3168/jds.s0022-0302(92)77904-1

Cited by 99 publications

(105 citation statements)

References 12 publications

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“…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). Incidentally, further research on this could be interesting to clarify whether the causal relationship would come from both traits.…”

supporting

confidence: 81%

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: 81%

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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“…This was consistent with the fact that DMI drives the two major water inputs to lactating dairy cows, drinking water (Holter and Urban 1992;Murphy 1992) and water in feed (Seo et al 2007). When evaluated with data not used for model development, Eqn 6 predicted F Water using DMI data well (RMSPE% = 14.6% with less than 1% of the error being systematic, Table 6).…”

Section: Faecal Water Outputsupporting

confidence: 82%

“…The negative relationship between DIM and F Water (Eqn 6) implies that cows in early lactation may excrete more water in faeces than cows in late lactation. Again, this may be related to increased free water intake in early lactating cows compared with late lactating cows because cows producing more milk tend to drink more water independently of DMI (Murphy et al 1983;Holter and Urban 1992;Khelil-Arfa et al 2012). Dietary DM content had a negative impact on F Water .…”

Section: Faecal Water Outputmentioning

confidence: 99%

Development of mathematical models to predict volume and nutrient composition of fresh manure from lactating Holstein cows

et al. 2014

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Abstract. Organic compounds in dairy manure undergo a series of reactions producing pollutants such as ammonia and methane. Because various organic compounds have different reaction rates, the emissions could be accurately determined if amounts and concentrations of individual nutrients in manure are known. A set of empirical models were developed for predicting faecal and urinary water, carbon (C), nitrogen (N), acid detergent fibre and neutral detergent fibre output (kg/day) from lactating Holstein cows. Dietary nutrient contents, milk yield and composition, bodyweight, age and days in milk were used with or without dry matter intake (DMI) as potential predictor variables. Multi-collinearity, goodness of fit, model complexity, and random study and animal effects were taken into account during model development, which used 742 measured faecal or urinary nutrient output observations (kg/day). The models were evaluated with an independent dataset (n = 364). When DMI was used as a predictor variable, the models predicted faecal and urinary nutrient outputs successfully with root mean square prediction error as a percentage of average observed values (RMSPE%) ranging from 9.1% to 20.7%. All the predictions except urine output had RMSPE% ranging from 18.3% to 24.6% when DMI was not used. The nutrient output predictions were in reasonable agreement with observed values throughout the data range (systematic bias <14% of total bias). Fresh manure C : N ratio predictions were acceptable (RMSPE% = 14.3-15.2%) although the systematic bias were notable (17.1-20.7% of total bias). The models could be integrated successfully with process-based manure or soil models to assess nutrient transformation in dairy production systems.

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“…Compared to most other mammals, where water loss exceeding 15% body mass may be lethal (Al-Ramamneh et al 2012), ruminants such as cattle, sheep, camels and Bedouin goats are able to tolerate losses exceeding 18, 20, 25 and 40% of their body masses, respectively (Al-Ramamneh et al 2012). Water, as a necessary substance for the maintenance of body heat balance, is the primary solvent of intra-and doi: 10.17221/144/2015-VETMED extracellular bodily fluids; it represents 90% of the blood plasma and is essential to maintain a high blood flow in lactating animals (Carter and Grovum 1990;Holter and Urban 1992;Andrew et al 1995). Water scarcity can also have a negative impact on the endocrine and metabolic balance of animal, reducing adaptive capacity.…”

mentioning

confidence: 99%

The effect of water-restriction on various physiological variables in intensively reared Lacaune ewes

Casamassima¹,

Vizzarri²,

Nardoia³

et al. 2016

Vet. Med. - Czech

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ABSTRACT:The effects of water restriction on rectal temperature, respiratory rate and selected blood variables in intensively reared Lacaune ewes were evaluated. The tests were carried out over the course of 28 days in spring on 30 lactating sheep divided into three groups of 10 animals each, matched by lactation status and body weight and allocated into individual boxes. The animal groups were as follows: control group W100 with drinking water for the whole day (24 h/24 h), while the two experimental groups each received 80% (W80 group) and 60% (W60 group) of the water ration of the control group, respectively. The feed, in according with physiological and production needs of the animals, was administered in three daily meals (08:00, 14:00 and 20:00 h). Water intake was recorded three times per day (at 08:00, 14:00 and 20:00 h) and the daily feed intake at 08:00 h, while the rectal temperature, respiratory rate were measured and blood samplings were carried out on Day 0, Day 14 and Day 28. In water-restriction groups (W80 and W60) a lower (P < 0.01) feed intake of meadow hay, and a lower ingestion of alfalfa hay pellet in the W60 group compared to W100 group were observed. In addition, the water restriction regimen resulted in a significant decrease of respiratory rate (P < 0.05) and an increase in serum total protein, urea, creatinine, sodium, chlorine, reactive oxygen metabolites, cortisol, haemoglobin and mean corpuscular haemoglobin concentration (P < 0.05), red blood cell counts, and haematocrit (P < 0.01). These results show the important role of water, as limiting factor for animal breeding in low-water availability environments. Where possible, the management of low-dairy breeds should be well adapted to support the productive performance.

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Water Partitioning and Intake Prediction in Dry and Lactating Holstein Cows

Cited by 99 publications

References 12 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

Development of mathematical models to predict volume and nutrient composition of fresh manure from lactating Holstein cows

The effect of water-restriction on various physiological variables in intensively reared Lacaune ewes

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