Models to predict milk fat concentration and yield of lactating dairy cows: A meta-analysis

Daley, V.L.; Armentano, L.E.; Hanigan, M.D.

doi:10.3168/jds.2022-21777

Cited by 8 publications

(4 citation statements)

References 70 publications

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“…Surprisingly, the milk fat content observed in our study (35.5 g/kg) was higher than that of the other reports (mean 32.0 g/kg) conducted in different years on the same farms, in 4 th calving cows, with BW and days in milk similar to those of the presents study (Salvador-Loreto et al, 2016;Salas-Reyes et al, 2019;Esparza-Jiménez et al, 2020) and from other farms in the same region reported by Morales et al (2011 ) of 26.7 (g/kg). Although the milk fat content values mentioned here are in the normal range reported in the literature (Daley et al, 2022).…”

Section: Discussionsupporting

confidence: 49%

Productive Response of Lactating Dual-Purpose Cows Grazing in an Agrosilvopastoral System During the Dry Season Supplemented With Low Levels of Crude Protein

Albarran Portillo,

Salas-Reyes,

Arriaga-Jordán

et al. 2023

Trop Subtrop Agroecosyst

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Background. Cattle production in tropical regions of Mexico is in dual-purpose farms (DP) on unintended agrosilvopastoral systems (ASPS) with pastures dominated by tropical grasses with scattered shrubs and trees. During the dry season due to the forage diminished nutritional value and availability most farmers supplement their cattle to sustain milk production and weight gains of calves, without taking into consideration the wide variety of forages available in grazing lands to decide the composition of supplements offered to their cattle. Objective/hypothesis. The objective of the study was to determine the effect of low levels of crude protein (CP) content in supplements (S10 = 100, S11 = 110 and S12 = 120 g CP/kg of DM) on the performance of lactating Brown Swiss (BS) cows on an ASPS during the dry season. We hypothesize that low levels of CP in supplements of lactating grazing cows on an agrosilvopastoral system during the dry season would not affect animal performance. Methodology. The study was carried out in the dry season (March to June of 2012), in a commercial DP in the State of Mexico. Eighteen multiparous BS cows and their calves were used in the study, randomly allocated to three groups (six cows/group), to receive one of three supplements (4.5 kg DM/cow/day), consisting of 100, 110 or 120 g/kg DM of crude protein (CP) S10, S11 and S12, respectively. Data were analysed as a complete random experimental design with a mixed model. Results. There were no significant differences in most of the animal performance variables (P > 0.05), except for fat protein corrected milk (FPCM) where S12 (6.4) was significantly higher than S10 and S11 (4.7 and 4.5 kg/day, respectively). Milk protein yields (kg/day) significantly increased as the CP level increased in supplements. High levels of milk urea nitrogen (MUN) were detected (mean 14.0 mg/dL). Implications. In similar DP farms where cattle have access to other sources of forages like shrubs and trees, it is possible to reduce the CP content of supplements and to increase the efficiency of utilization of those alternative forages as well as a reduction in supplementation costs. Conclusion. There were no significant differences in the performance of BS cows grazing on an ASPS during the dry season receiving supplements with low crude protein levels. When correcting to fat-protein milk yields a significant difference was found in favour of supplement with 120 g CP/kg of DM.

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Section: Discussionsupporting

confidence: 49%

Productive Response of Lactating Dual-Purpose Cows Grazing in an Agrosilvopastoral System During the Dry Season Supplemented With Low Levels of Crude Protein

Albarran Portillo,

Salas-Reyes,

Arriaga-Jordán

et al. 2023

Trop Subtrop Agroecosyst

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“…Maxin et al [ 35 ] demonstrated the accuracy and precision of short-chain and long-chain FA as predictors of milk fat production, although their models were based on in vitro studies. In a recent study, Daley et al [ 36 ] identified C16:0, C18:2, and C18:3 as predictors of milk fat production. These findings, combined with the present study, emphasize the significance of considering the FA profile of the diet as predictive variables of both milk fat production and proportion.…”

Section: Discussionmentioning

confidence: 99%

Associations between Dietary Fatty Acid Profile and Milk Fat Production and Fatty Acid Composition in Dairy Cows: A Meta-Analysis

Gallardo

Teixeira

2023

Animals

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This meta-analysis aimed to investigate the effect of dietary fatty acid (FA) profile on milk fat production and FA profile in dairy cows. The study also aimed to develop prediction models using a meta-regression approach. The database included 217 peer-reviewed articles on lactating dairy cows (n = 12,892), consisting of 515 treatment means. Effect size was assessed using the raw mean differences between diets with supplementary lipid sources and those without. Subgroup analyses were employed to assess heterogeneity. Diets rich in saturated FA (SFA) increased milk fat production and proportion, while reducing de novo FA in milk. Diets high in monounsaturated FA and polyunsaturated FA decreased mixed FA in milk. Most lipid-supplemented diets increase preformed FA in milk, except those rich in SFA. Prediction models were developed using meta-regression. Key predictors of milk fat production included neutral detergent fiber (NDF), dietary myristic acid, and milk production. Milk fat proportion was best predicted by dietary unsaturated FA, NDF, and forage. De novo FA in milk was predicted by dry matter intake (DMI) and dietary FA, while preformed FA was predicted by DMI, dietary oleic and linoleic acids. In conclusion, this study emphasizes the importance of the dietary FA profile in evaluating the effects of lipids on milk fat production and FA profile. Accurate and precise predictions of milk fat production, proportion, and FA profile can be achieved by considering cow production and dietary characteristics.

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“…In the eighth revised edition of Nutrient Requirements of Dairy Cattle, the National Academies of Sciences, Engineering, and Medicine ( NASEM ) proposed an equation to predict milk fat yield ( MFY ) using animal characteristics and diet composition as input variables ( NASEM, 2021 ). This multivariate equation was developed and cross-validated by Daley and Hanigan (2019) and Daley et al (2022) and reads as follows: Milk_Fat_g = 453 − (1.42 × An_LactDay ) + [24.52 × ( Dt_DMIn − Dt_FAIn )] + (0.41 × Dt_DigC160In × 1,000) + (1.80 × Dt_DigC183In × 1,000) + (1.45 × Abs_Ile_g ) + (1.34 × Abs_Met_g ), where Milk_Fat_g = MFY (g/d), An_LactDay = DIM (d), Dt_DMIn = DMI (kg/d), Dt_FAIn = FA intake (kg/d), Dt_DigC160In = predicted digested 16:0 intake (kg/d), Dt_DigC183In = predicted digested 18:3 intake (kg/d), Abs_Ile_g = absorbed Ile (g/d), and Abs_Met_g = absorbed Met (g/d).…”

mentioning

confidence: 99%

“…The issued NASEM model has been developed and cross-validated using data from the scientific literature ( Daley et al, 2022 ). Measurements were performed under controlled conditions, and actual DMI was available.…”

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confidence: 99%

External evaluation of the prediction equation for milk fat yield by the 2021 NASEM dairy model using data from eastern Canadian dairy herds

2023

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Graphical Abstract Summary: This communication presents the results of an evaluation of the 2021 National Academies of Sciences, Engineering, and Medicine (NASEM) model developed to predict milk fat yield using data from Canadian dairy operations. The model was shown to be accurate and therefore appears to be a valuable tool for estimating the impact of changes in diet composition on milk fat yield in commercial herds.

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Models to predict milk fat concentration and yield of lactating dairy cows: A meta-analysis

Cited by 8 publications

References 70 publications

Productive Response of Lactating Dual-Purpose Cows Grazing in an Agrosilvopastoral System During the Dry Season Supplemented With Low Levels of Crude Protein

Productive Response of Lactating Dual-Purpose Cows Grazing in an Agrosilvopastoral System During the Dry Season Supplemented With Low Levels of Crude Protein

Associations between Dietary Fatty Acid Profile and Milk Fat Production and Fatty Acid Composition in Dairy Cows: A Meta-Analysis

External evaluation of the prediction equation for milk fat yield by the 2021 NASEM dairy model using data from eastern Canadian dairy herds

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