A new equation to predict dry matter intake by Nellore beef cattle in commercial feedlots in Brazil

Menezes, Guilherme Lobato; Azevêdo, José Augusto Gomes; Filho, Sebastião de Campos Valadares; Oliveira, Alan Figueiredo de; Silva, Fabyano Fonseca e; Pires, Frederico Patrus Ananias de Assis; Pereira, Marcela; Gonçalves, Lúcio Carlos; Borges, A. L. C. C.; Jayme, Diogo Gonzaga

doi:10.1016/j.livsci.2022.104952

Cited by 3 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationship between animal weight and DMI is well documented, as an animal's requirements increase in response to an increase in BW [43]. This relationship has been reported in various species, such as sheep [18,44,45], beef cattle [20,41,46], and dairy cattle [40]. Previous studies have used BW and/or BW 0.75 or empty body weight to predict DMI, and these variables have been shown to be significant predictors of nutrient intake.…”

Section: Discussionmentioning

confidence: 92%

“…Most of the prediction models published by international committees are based on research conducted in temperate countries and are therefore designed specifically for the environmental characteristics, breeds, and feed compositions found in those regions [20]. These factors can be very different from the reality of tropical regions, highlighting the need for research in Brazil to develop mathematical models specifically for predicting the nutrient intake and milk characteristics of dairy cows in tropical conditions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mathematical Models to Predict Dry Matter Intake and Milk Production by Dairy Cows Managed under Tropical Conditions

et al. 2023

View full text Add to dashboard Cite

This study aimed to create an equation to predict dry matter intake (DMI) and milk production and N-ureic in the milk of dairy cows managed in tropical conditions in Brazil. We used 113 observations from three experiments using lactating Jersey, Girolando, and Holstein cows. The goodness of fit of the developed equations was evaluated using the coefficients of determination (r2) and root mean square error (RMSE). There was a positive correlation between body weight and milk yield (MY) of r = 0.73. The equation considered DMI to be the most important variable to estimate the MY (r2 = 0.65). Four equations were adjusted to estimate the DMI, where, by a stepwise procedure, the first variable included in the equation was the neutral detergent fibre intake, which explained 92% of the DMI of the cows. However, when the variables BW, MY, and milk fat were included in the equation, there was a reduction of 0.06 in RMSE and an increase in precision (r2 = 0.94). The nutrient intake, milk production, and characteristics prediction equations present satisfactory precision and accuracy for dairy cows managed in tropical conditions in Brazil.

show abstract

Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Mathematical Models to Predict Dry Matter Intake and Milk Production by Dairy Cows Managed under Tropical Conditions

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The use of waste mango silage in the calf diet treatments evaluated did not modify the digestibility and biological value of the feed [ 39 ], given the values reported for NDFI and ADFI ( Table-6 ). The NDFDiv values indicated that there was no problem with the consumption of the diets in each treatment because the consumption variables satisfied the hedonic signals and energy requirements related to the homeostatic balance of the animals [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Effect of waste mango silage on the in vitro gas production, in situ digestibility, intake, apparent digestibility, and ruminal characteristics in calf diets

et al. 2023

View full text Add to dashboard Cite

Background and Aim: Mexico is the fifth largest producer of mangoes in the world. For the conservation of agro-industrial waste and crop residues, the ensiling technique has shown good results. This study aimed to evaluate the effect of increasing the level of mango silage (86% waste mango and 14% pangola grass hay) in calf diets on in vitro gas production, in situ digestibility, intake, apparent digestibility, and ruminal characteristics. Materials and Methods: The diets contained 0 (T0), 30 (T1), 45 (T2), and 60% (T3) mango silage. The partial (24, 48, and 72 h) and cumulative (72 h) biogas, CH4 production, and degradation were determined in the in vitro evaluation. In situ digestibility and estimators of fermentation kinetics of dry matter (DM) and organic matter (OM) were determined. Intake, apparent nutrient digestibility, and rumen parameters of calves (200 kg) were evaluated in a 4 × 4 Latin square design. Response to increased mango silage was calculated by linear and quadratic orthogonal contrasts. Results: In vitro partial and cumulative biogas production decreased linearly (p < 0.05), and the partial and cumulative CH4 production did not show linear or quadratic contrast (p > 0.05); in vitro DM degradation, in vitro neutral detergent fiber degradation, and in vitro acid detergent fiber degradation showed a linear increase (p < 0.05). In situ dry matter digestibility (DMDis), in situ organic matter digestibility (OMDis), b, a + b, c, and effective digestibility (ED) of DMDis, a, a + b, c, and ED of OMDis increased linearly (p < 0.05). Dry matter intake, OM intake, and crude protein intake showed a linear increase (p < 0.05); NDF intake and ADF intake presented a quadratic behavior (p < 0.05). Apparent digestibility of DM, OM, CP, and hemicellulose, pH, N-NH3, total bacterial count, acetate, propionate, butyrate, volatile fatty acids, acetate: propionate ratio, cellulolytic bacteria, and protozoa did not present a linear or quadratic orthogonal effect (p > 0.05). Conclusion: The in vitro, in situ, and in vivo variables demonstrated that up to 60% mango silage can be used for the intensive fattening of calves in confinement. Keywords: alternative feed, alternative feeding, cattle, silage, tropics.

show abstract

Prediction models of intake and productive performance of non-castrated Nellore cattle finished in the feedlot system under tropical conditions

Moura

Ítavo

et al. 2023

Trop Anim Health Prod

View full text Add to dashboard Cite

A new equation to predict dry matter intake by Nellore beef cattle in commercial feedlots in Brazil

Cited by 3 publications

References 21 publications

Mathematical Models to Predict Dry Matter Intake and Milk Production by Dairy Cows Managed under Tropical Conditions

Mathematical Models to Predict Dry Matter Intake and Milk Production by Dairy Cows Managed under Tropical Conditions

Effect of waste mango silage on the in vitro gas production, in situ digestibility, intake, apparent digestibility, and ruminal characteristics in calf diets

Prediction models of intake and productive performance of non-castrated Nellore cattle finished in the feedlot system under tropical conditions

Contact Info

Product

Resources

About