1484 Dry matter intake prediction of heifers under tropical conditions

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 720-720
Author(s):  
M. I. Marcondes ◽  
A. L. Silva
Keyword(s):  
Dry Matter ◽  
Dry Matter Intake ◽  
Tropical Conditions ◽  
Dry Matter Intake Prediction

A note on the in vitro dry-matter digestibility determination of mixed herbage and browse samples collected with oesophageal fistulated steers

1981 ◽  
Vol 96 (2) ◽  
pp. 483-485 ◽  
Author(s):  
C. Shorrock
Keyword(s):  
Dry Matter ◽  
Dry Matter Intake ◽  
Faecal Output ◽  
Pasture Legumes ◽  
Dry Matter Digestibility ◽  
Grazing Cattle ◽  
Tropical Conditions ◽  
Number Of Authors

The determination of in vitro dry-matter digestibility (DMD) of grass and pasture legumes under both temperate and tropical conditions is well established (Tilley & Terry, 1963; Minson & McLeod, 1972). One application of the in vitro DMD estimation of pasture samples is, together with an estimate of faecal output, the measurement of the herbage dry-matter intake of grazing cattle. Pasture samples are usually collected with oesophageal fistulated cattle. This technique is well documented and has been reviewed by a number of authors (Langlands, 1975; Minson et al. 1976).

Prediction of dry matter intake by feedlot beef cattle under tropical conditions

2020 ◽  
Author(s):  
H. M. da Silva ◽  
A. B. Donadia ◽  
L.F. Moreno ◽  
A.S. de Oliveira ◽  
E. H. B. K. Moraes ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Dry Matter ◽  
Dry Matter Intake ◽  
Tropical Conditions

Prediction of Pasture Intake by Beef Cattle in Tropical Conditions

2021 ◽  
Author(s):  
Geferson Antonio Fernandes ◽  
André Soares de Oliveira ◽  
Cláudio Vieira de Araújo ◽  
Victor Rezende Moreira Couto ◽  
Kamila Andreatta Kling de Moraes ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Crude Protein ◽  
Dry Matter ◽  
Prediction Models ◽  
Average Daily Gain ◽  
Random Effect ◽  
The Body ◽  
Dry Matter Intake ◽  
Accuracy And Precision ◽  
Tropical Conditions

Abstract A meta-analytic study was conducted to develop and evaluate models for the prediction of pasture dry matter intake (DMIpasture) by beef cattle in tropical conditions. 804 individual observations of DMIpasture were used, taken from 23 studies through analysis of mixed models, including the study as a random effect. To evaluate the accuracy and precision of the new models proposed as well as for the models of Azevedo et al., (2016) and Minson and McDonald (1987), an independent databank with 87 means from treatments of 21 experiments (n = 888 animals) was used. Three prediction models were adjusted: Model I (Animal Information), Model II (Animal Information + Supplement) and Model III (Animal Information + Supplement + Pasture). The proposed models presented similarity for the average square root of the prediction error. The inclusion of the predictive variables for supplementation (supplement dry matter intake - DMIsupplement - % of the body weight and crude protein intake through supplement) with the variables for the animal (BW0,75 and average daily gain) and of the pasture (% of crude protein) in Model III improves accuracy and precision and provides higher determination and correlation coefficients, and agreement than the other proposed models. Similarly, it was found to be more accurate and precise than the equations of Azevedo et al., (2016) and Minson and McDonald (1987), which presented lower precision and accuracy than the proposed models. The DMIpasture for beef cattle in tropical conditions is more accurate and precise when the information for the animal, supplement and pasture is included.

scholarly journals Predicting dry matter intake using conceptual models for cattle kept under tropical and subtropical conditions1

2019 ◽  
Vol 97 (9) ◽  
pp. 3727-3740 ◽  
Author(s):  
Christian A Bateki ◽  
Uta Dickhoefer
Keyword(s):  
Body Weight ◽  
Dry Matter ◽  
Metabolizable Energy ◽  
Neutral Detergent Fiber ◽  
Dry Matter Intake ◽  
Energy Requirements ◽  
Modified Model ◽  
Tropical Conditions ◽  
The Mean ◽  
Cattle Systems

Abstract Using empirical models to predict voluntary dry matter intake (VDMI) of cattle across production systems in the (Sub-)Tropics often yields VDMI estimates with low adequacy (i.e., accuracy and precision). Thus, we investigated whether semimechanistic conceptual mathematical models (CMM) developed for cattle in temperate areas could be adopted and adjusted to adequately predict VDMI of stall-fed cattle in the (Sub-)Tropics. The CMM of Conrad et al. (1964) (C1) and Mertens (1987) (M1) were identified and adopted for their simplicity in reflecting physicophysiological VDMI regulation. Both CMM use 2 equations that estimate the physiologically and physically regulated VDMI and retain the lower VDMI prediction as actual VDMI. Furthermore, C1 was modified by increasing the daily average fecal dry matter output from 0.0107 to 0.0116 kg/kg body weight, yielding the modified model C2. For M1, the daily neutral detergent fiber intake capacity was increased from 0.012 to 0.0135 kg/kg body weight and the daily metabolizable energy requirements for maintenance from 0.419 to 0.631 MJ/kg0.75 body weight, whereas the metabolizable energy requirements for gain was reduced from 32.5 to 24.3 MJ/kg body weight gain, yielding the modified model M2. Last, also the mean of the physically and physiologically regulated VDMI rather than the lower of both estimates was retained as actual VDMI to generate the models C3 (from C1), C4 (from C2), M3 (from M1), and M4 (from M2). The 8 CMM were then evaluated using a data set summarizing results from 52 studies conducted under (sub)tropical conditions. The mean bias, root mean square error of prediction (RMSEP) and concordance correlation coefficient (CCC) were used to evaluate adequacy and robustness of all CMM. The M4, C2, and C1 were the most adequate CMM [i.e., lowest mean biases (0.07, −0.22, and 0.14 kg/animal and day, respectively), RMSEP (1.62, 1.93, and 2.0 kg/animal and day, respectively), and CCC (0.91, 0.86, and 0.85, respectively)] and robust of the 8 CMM. Hence, CMM can adequately predict VDMI across diverse stall-fed cattle systems in the (Sub-)Tropics. Adjusting CMM to reflect the differences in feed quality and animal physiology under typical husbandry conditions in the (Sub-)Tropics and those in temperate areas improves the adequacy of their VDMI predictions.

scholarly journals A meta-analysis of dry matter intake in Nellore and Zebu-crosses cattle

2010 ◽  
Vol 39 (8) ◽  
pp. 1801-1809 ◽  
Author(s):  
José Augusto Gomes Azevêdo ◽  
Sebastião de Campos Valadares Filho ◽  
Douglas dos Santos Pina ◽  
Mario Luiz Chizzotti ◽  
Rilene Ferreira Diniz Valadares
Keyword(s):  
Beef Cattle ◽  
Significant Variation ◽  
Dry Matter ◽  
Meta Analysis ◽  
Analysis Procedure ◽  
Genetic Group ◽  
Dry Matter Intake ◽  
Regression Equations ◽  
Tropical Conditions ◽  
Nellore Cattle

The study was carried out to develop and to evaluate new equations to predict dry matter intake (DMI) of Nellore and Zebu-crosses cattle using meta-analysis procedure. The data used to estimate the parameters were collected from independent performance experiments using growing and fattening Nellore and Zebu-crosses cattle, and they were compiled from 561 experimental units. Before proposing an equation to predict DMI, it was observed that the genetic group was a source of statisticaly significant variation. Therefore, equations to predict dry matter intake in the Zebu-Crosses and Nellore cattle were independently developed. The regression equations for Zebu-crosses cattle were: DMI = -2.6098 + 0.08844BW0.75 + 4.4672ADG - 1.3579ADG2 and DMI = -1.0094 + 0.01608BW + 4.4363ADG -1.2548ADG2. The regression equations for Nellore cattle were: DMI = -2.7878 + 0.08789BW0.75 + 5.0487ADG - 1.6835ADG2 and DMI = -1.3559 + 0.0159BW + 5.6397ADG - 1.8494ADG2. In order to evaluate fitted equations, it was utilized data from independent experiments published from 2005 to 2008 in the Revista Brasileira de Zootecnia. The equations (DMI) for Nellore overpredicted dry matter intake for estimates lower than 7 and higher than 10 kg·d-1. For Zebu-crosses cattle, dispersions of 3 kg d-1 were observed when extreme intakes were evaluated, however, when the equation included BW 0.75, the intercept did not differ from zero and the slope did not differ from 1. It is not possible to fit only one equation for preditcting DMI for beef cattle in tropical conditions, because there are differences between Zebu and Zebu-crosses. Fitted equations that include ADG and BW 0.75 should be used as an alternative method to predict dry matter intake of Zebu-crosses and Nellore beef cattle in tropical conditions.

scholarly journals ‘Meta-analysis of dry matter intake and neutral detergent fiber intake of hair sheep raised in tropical areas’

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244201
Author(s):  
Alessandra Pinto de Oliveira ◽  
Camila Soares Cunha ◽  
Elzânia Sales Pereira ◽  
Stefano Biffani ◽  
Ariosvaldo Nunes de Medeiros ◽  
...  
Keyword(s):  
Dry Matter ◽  
Meta Analysis ◽  
Average Daily Gain ◽  
Neutral Detergent Fiber ◽  
Dry Matter Intake ◽  
Fiber Intake ◽  
Hair Sheep ◽  
Final Body Weight ◽  
Tropical Regions ◽  
Tropical Conditions

Inadequate estimates of fiber and dry matter intake of sheep raised in tropical conditions may explain part of the inefficiency of those production systems. Therefore, we aimed to estimate dry matter intake (DMI) and neutral detergent fiber intake (NDFI) of hair sheep raised under tropical conditions. A meta-analysis of 61 independent performance experiments, comprising a total of 413 experimental units (treatment means or animals), was performed. Trials were conducted in tropical conditions, using hair sheep in growing and finishing phases and endowed with the following information: neutral detergent fiber (NDF) in diet, initial and final body weight (BW), average daily gain (ADG), DMI and NDFI of treatment means (51 studies) or individual data (10 studies). Data on organic matter and NDF digestibilities were collected to estimate D-value (Dv) and B-value (Bv) (20 and 33 studies, respectively). The equations obtained were: DMI(g/day)=50.5773±71.0504+1.4423±0.1704×ADG+28.4406±2.9697×BW;DMI(g/kgBW)=42.1088±4.7298+0.05516±0.009427×ADG−0.4402±0.1865×BW;NDFI(g/day)=−52.2187±47.7718+1.3773±0.2292×NDF(g/kgDM)−0.0007±0.0002×NDF(g/kgDM)2. DMI (g/kg BW) as a function of Dv (g/kg DM) revealed a quadratic relationship, whose point of maximum DMI (38.69 g/kg BW) was obtained at 634.1 g/kg DM Dv. On the other hand, DMI decreased linearly as Bv (g/kg DM) increased. In conclusion, equations to predict DMI from BW and ADG as well to predict NDFI from dietary NDF were fitted with great accuracy and are recommended for hair sheep raised in tropical regions. DMI values were, in general, greater than those reported by the NRC, AFRC and INRA systems, which may be a reflection of the sheep breeds used in this study. Using Dv and Bv concepts was satisfactory to describe an integrated mechanism between metabolic and bulking regulation of DMI in sheep.

scholarly journals Effects of dietary cation and anion difference on eating, ruminal function and plasma leptin in goats under tropical condition

2020 ◽  
Vol 33 (6) ◽  
pp. 941-948
Author(s):  
Thiet Nguyen ◽  
Somchai Chanpongsang ◽  
Narongsak Chaiyabutr ◽  
Sumpun Thammacharoen
Keyword(s):  
Dry Matter ◽  
Nutrient Digestibility ◽  
Dry Matter Intake ◽  
Apparent Digestibility ◽  
Ruminal Fermentation ◽  
Dairy Goats ◽  
Tropical Condition ◽  
Volatile Fatty Acid Concentration ◽  
Tropical Conditions ◽  
Plasma Leptin

Objective: This study was carried out to determine the effects of elevated dietary cation and anion difference (DCAD) on dry matter intake (DMI) and ruminal fermentation pattern in lactating dairy goats under tropical conditions.Methods: Ten dairy goats were divided into two groups of five animals each. The groups received diets at different DCAD levels, either a control diet (22.81 mEq/100 g dry matter [DM], DCAD-23) or a DCAD-39 diet (39.08 mEq/100 g DM, DCAD-39). After parturition, DMI and water intake were recorded daily. Ruminal fluid and urine were collected, and nutrient digestibility measurements were carried out at 8th weeks postpartum (PP-8). Blood samples were collected at PP-4 and PP-8 to measure plasma leptin.Results: Dry matter intake/body weight (DMI/BW) at PP-8 of the animals fed the DCAD-39 diet was significantly higher than those fed with DCAD-23 diet (p<0.05). Animals fed with DCAD-39 consumed more water than those fed DCAD-23 over 24 h, particularly at night (p<0.05). Ruminal pH, acetate concentration, and urinary allantoin excretion increased with the DCAD-39 diet, whereas ruminal butyrate concentration was lower with the DCAD-39 diet. On the other hand, other ruminal parameters, such as total volatile fatty acid concentration, propionate molar proportion and acetate/propionate average ratio, were not affected by increased DCAD supplementation. Apparent digestibility was improved by increased DCAD supplementation. Plasma leptin concentration was higher with DCAD supplementation.Conclusion: When feeding goats with DCAD-39 under tropical conditions, an increase in DMI was associated with improved apparent digestibility of nutrients, ruminal fermentation and microbial protein synthesis. An increase in plasma leptin concentration could not explain the effect of high DCAD on DMI.

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