PSX-B-7 Effect of supplementation of a robotic milker pellet on mixed diet intake, milk production, and blood metabolites of lactating cows

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 455-455
Author(s):  
Nick Uzee ◽  
Abigail R Rathert ◽  
Carlee M Salisbury ◽  
Dagan Montgomery ◽  
Andrew P Foote
Keyword(s):  
Body Weight ◽  
Milk Production ◽  
Fixed Effects ◽  
Mixed Model ◽  
Repeated Measure ◽  
Blood Metabolites ◽  
Nutrient Metabolism ◽  
Treatment Groups ◽  
Lactating Cows ◽  
Robotic Milking

Abstract The objective of this experiment was to determine the effect of concentrate pellets, typically supplied by a voluntary robotic milking system (VMS), on milk production and composition, nutrient metabolism, and diet dry matter intake (DMI) of lactating dairy cows. Holstein cows (n = 24) were assigned to receive either no supplemental pellets (CON), 2 kg/d (LP), or 6 kg/d (HP) in addition to ad libitum diet access, with treatments balanced by lactation number and days in milk. The LP group was allotted 1 kg of pellets every 12 hours and the HP group was allotted 2 kg every 8 hours, to simulate the amount consumed while visiting a VMS unit two or three times daily. Pellet and diet consumption were measured using the Insentec feeding system. Milk production was measured daily, utilizing a milk meter in a conventional parlor. Milk samples were collected twice weekly for 35 days and analyzed for components. Blood samples, body weight, and body condition scores were obtained weekly after the morning milking. Data were analyzed using a mixed model (SAS 9.4) with fixed effects of treatment, day, and their interaction, with day as a repeated measure. No treatment × day interaction was present for diet DMI (P = 0.72); however, addition of pellets to the LP and HP treatment groups decreased diet DMI when compared to CON (P < 0.006). Plasma lactate tended to be greater for CON (P = 0.09) than LP and HP treatment groups with no treatment effect on other blood metabolites (P ≥ 0.30). There was no effect of treatment on milk yield, milk components, or body weight and condition (P ≥ 0.23). These data suggest that feeding a pellet similar to conditions in a robotic milking system could alter DMI without negatively impacting metabolism or milk production.

scholarly journals Metabolic Adaptations to Dynamic Energy Requirements during Lactation and Pregnancy in Dairy Cows with Varying Proportions of Holstein and Simmental Breed

Proceedings ◽  
2020 ◽  
Vol 73 (1) ◽  
pp. 9
Author(s):  
Deise Aline Knob ◽  
André Thaler Neto ◽  
Helen Schweizer ◽  
Anna Weigand ◽  
Roberto Kappes ◽  
...  
Keyword(s):  
Energy Balance ◽  
Dairy Cows ◽  
Fixed Effects ◽  
Mixed Model ◽  
Negative Energy ◽  
Negative Energy Balance ◽  
Repeated Measure ◽  
Holstein Cows ◽  
Mixed Model Analysis ◽  
Genetic Groups

Depending on the breed or crossbreed line, cows have to cope with a more or less severe negative energy balance during the period of high milk yields in early lactation, which can be detected by beta-hydroxybutyrate (BHBA) and non-esterified fatty acids (NEFAs) in blood. Preventing cows from undergoing a severe negative energy balance by breeding and/or feeding measures is likely to be supported by the public and may help to improve the sustainability of milk production. The aim was to compare BHBA and NEFA concentrations in the blood of Holstein and Simmental cows and their crosses during the prepartum period until the end of lactation. In total, 164 cows formed five genetic groups according to their theoretic proportion of Holstein and Simmental genes as follows: Holstein (100% Holstein; n = 9), R1-Hol (51–99% Holstein; n = 30), F1 crossbreds (50% Holstein, 50% Simmental; n = 17), R1-Sim (1–49% Holstein; n = 81) and Simmental (100% Simmental; n = 27). NEFA and BHBA were evaluated once a week between April 2018 and August 2019. A mixed model analysis with fixed effects breed, week (relative to calving), the interaction of breed and week, parity, calving year, calving season, milking season, and the repeated measure effect on cows was used. Holstein cows had higher NEFAs (0.196 ± 0.013 mmol/L), and Simmental cows had the lowest NEFA concentrations (0.147 ± 0.008 mmol/L, p = 0.03). R1-Sim, F1 and R1-Hol cows had intermediate values (0.166 ± 0.005, 0.165 ± 0.010, 0.162 ± 0.008 mmol/L; respectively). The highest NEFA value was found in the first week after calving (0.49 ± 0.013 mmol/L). BHBA did not differ among genetic groups (p = 0.1007). There was, however, an interaction between the genetic group and week (p = 0.03). While Simmental, R1-Sim and F1 cows had the highest BHBA value, the second week after calving (0.92 ± 0.07 and 1.05 ± 0.04, and 1.10 ± 0.10 mmol/L, respectively), R1-Hol and Holstein cows showed the BHBA peak at the fourth week after calving (1.16 ± 0.07 and 1.36 ± 0.12 mmol/L, respectively). Unexpectedly, Holstein cows had a high BHBA peak again at week 34 after calving (1.68 ± 0.21 mmol/L). The genetic composition of the cows affects NEFA and BHBA. Simmental and R1-Sim cows mobilize fewer body reserves after calving. Therefore, dairy cows with higher degrees of Simmental origin might be more sustainable in comparison with Holstein genetics in the present study.

scholarly journals PSXI-32 Potential improvements in milk production of mid lactating Holstein cows through changes in the defoliation intensity on a mixed pasture

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 384-385
Author(s):  
Oliver Fast Hinz ◽  
Pablo Chilibroste ◽  
Gabriel Menegazzi ◽  
Matías Oborsky ◽  
Pablo Soca ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Festuca Arundinacea ◽  
Fixed Effects ◽  
Mixed Model ◽  
Body Condition Score ◽  
Random Effect ◽  
Milk Composition ◽  
Control Treatment ◽  
Condition Score

Abstract An experiment was performed to study the effect of two contrasting defoliation intensities of a fescue based pasture on milk production of 24 mid lactating multiparous cows. The animals were blocked according to parity, body weight (587 ± 42 kg), body condition score (2.77 ± 0.16) and calving date, and were randomly allocated to one of these two treatments: lax treatment (TL) 12 cm and control treatment (TC) 6 cm, with four replications. It was used a second-year pasture of Festuca arundinacea and Lotus corniculatus (2530 ± 180 kgDM/ha), divided into eight plots of 0.3 ha. Each plot was grazed by three cows during as many days as necessary until the defoliation height of each treatment was achieved. This would be determined by daily measures of the pasture height. Animals had one grazing session from 8:00 to 16:00 h. Both treatments received 7.5 kgDM of supplementation (17% Crude Protein; 2.81 Mcal/kgDM) in individual troughs. The cows were milked twice a day (05:00 and 17:00 h). Milk production was registered daily while milk composition was measured at the beginning and at the end of the experiment (samples from two consecutive milking). For milk yield results, a mixed model was used (Glimmix procedure, SAS 9.2, 2010) to analyse with treatment, day and their interaction as fixed effects and block as a random effect. While milk composition was analysed with only treatment as fixed effect. Milk yield was greater for TL than TC, while there was no difference in milk composition between treatments (Table 1). There is a significant effect of the day and an interaction between treatment and day (Figure 1), as difference was greater for TL to the end of the grazing period. This leads to the conclusion that it is possible to improve the milk production through less defoliation intensity.

Appetite-stimulating effect of gabapentin vs mirtazapine in healthy cats post-ovariectomy

2020 ◽  
Vol 22 (12) ◽  
pp. 1176-1183
Author(s):  
Marco Fantinati ◽  
Julien Trnka ◽  
Amélia Signor ◽  
Séverine Dumond ◽  
Géraldine Jourdan ◽  
...  
Keyword(s):  
Placebo Group ◽  
Food Intake ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Repeated Measure ◽  
Mixed Model Analysis ◽  
Treatment Groups ◽  
Significant Difference ◽  
Post Hoc ◽  
Difference Test

Objectives The aim of the study was to evaluate the appetite-stimulating effect of gabapentin by comparing it with mirtazapine in healthy cats in the first 8 h after ovariectomy surgery. Methods This double-masked, placebo-controlled, prospective clinical trial included 60 healthy cats presented to the hospital for ovariectomy: 20 received gabapentin, 21 received mirtazapine and 19 received a placebo immediately before and 6 h after surgery. Food was offered at 2, 4, 6 and 8 h post-ovariectomy. After each meal, food intake was measured. Data were analysed using repeated-measure ANOVA and a linear mixed-model analysis. Post-hoc Tukey’s honest significant difference test was performed for multiple comparisons. Results Food intake increased in both treatment groups vs placebo. No statistically significant difference was found between cats treated with gabapentin or mirtazapine. Conclusions and relevance Cats receiving gabapentin ate more than cats in the placebo group. Thirty percent of cats in the gabapentin group covered their resting energy requirements, while none of the cats in the placebo group did. Gabapentin and mirtazapine produced similar effects on food intake.

The effects of anAspergillus oryzaeextract containing alpha-amylase activity on ruminal fermentation and milk production in lactating Holstein cows

2005 ◽  
Vol 81 (3) ◽  
pp. 365-374 ◽  
Author(s):  
J. M. Tricarico ◽  
J. D. Johnston ◽  
K. A. Dawson ◽  
K. C. Hanson ◽  
K. R. McLeod ◽  
...  
Keyword(s):  
Milk Production ◽  
Amylase Activity ◽  
Latin Square ◽  
Alpha Amylase ◽  
Holstein Cows ◽  
Ruminal Fermentation ◽  
Nutrient Metabolism ◽  
Lactating Cows

AbstractThe effects of anAspergillus oryzaeextract containing alpha-amylase activity (Amaize™, Alltech Inc., Nicholasville, KY) were examinedin vivoandin vitro. A lactating cow study employed 20 intact and four ruminally fistulated Holstein cows in a replicated 4 × 4 Latin-square design to examine the effects of four concentrations of dietary Amaize™ extract on milk production and composition, ruminal fermentation and serum metabolite concentrations. The treatment diets contained 0, 240, 480 or 720 alpha-amylase dextrinizing units (DU) per kg of total mixed ration (TMR) (dry-matter basis). The supplemental alpha-amylase increased the yields of milk (P= 0·02), fat (P= 0·02) and protein (P= 0·06) quadratically. The maximum milk yield was obtained when 240 DU per kg of TMR were offered. Ruminalin situstarch disappearance was not affected by alpha-amylase supplementation in lactating cows or ruminally cannulated steers. Supplemental alpha-amylase extract reduced the molar proportion of propionate in the rumen of steers (P= 0·08) and lactating cows (P= 0·04), and in rumen-simulating cultures (P= 0·04). The supplement also increased the molar proportions of acetate (P= 0·06) and butyrate (P= 0·05), and the serum beta-hydroxybutyrate (P= 0·01) and non-esterified fatty acid (P= 0·03) concentrations in lactating cows. The improvements in milk production appear to be a consequence of the effects of alpha-amylase on ruminal fermentation and the potential changes in nutrient metabolism that result from them. We conclude that supplemental alpha-amylase may be given to modify ruminal fermentation and improve milk and component yield in lactating Holstein cattle.

scholarly journals Detection of Methane Eructation Peaks in Dairy Cows at a Robotic Milking Station Using Signal Processing

Animals ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 26
Author(s):  
Ali Hardan ◽  
Philip C. Garnsworthy ◽  
Matt J. Bell
Keyword(s):  
Signal Processing ◽  
Fixed Effects ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Random Effect ◽  
Air Sampling ◽  
Analysis Software ◽  
Sampling Volume ◽  
Ch4 Concentration ◽  
Robotic Milking

The aim of this study was to investigate the use of signal processing to detect eructation peaks in CH4 released by cows during robotic milking, and to compare recordings from three gas analysers (Guardian SP and NG, and IRMAX) differing in volume of air sampled and response time. To allow comparison of gas analysers using the signal processing approach, CH4 in air (parts per million) was measured by each analyser at the same time and continuously every second from the feed bin of a robotic milking station. Peak analysis software was used to extract maximum CH4 amplitude (ppm) from the concentration signal during each milking. A total of 5512 CH4 spot measurements were recorded from 65 cows during three consecutive sampling periods. Data were analysed with a linear mixed model including analyser × period, parity, and days in milk as fixed effects, and cow ID as a random effect. In period one, air sampling volume and recorded CH4 concentration were the same for all analysers. In periods two and three, air sampling volume was increased for IRMAX, resulting in higher CH4 concentrations recorded by IRMAX and lower concentrations recorded by Guardian SP (p < 0.001), particularly in period three, but no change in average concentrations measured by Guardian NG across periods. Measurements by Guardian SP and IRMAX had the highest correlation; Guardian SP and NG produced similar repeatability and detected more variation among cows compared with IRMAX. The findings show that signal processing can provide a reliable and accurate means to detect CH4 eructations from animals when using different gas analysers.

scholarly journals Effect of dietary inclusion of black soldier fly larvae (Hermetia illucens) on broiler performance: A meta-analysis

2022 ◽  
Vol 335 ◽  
pp. 00013
Author(s):  
Sandi Nayohan ◽  
Irwan Susanto ◽  
Dessy Permata ◽  
Raiza Tri Pangesti ◽  
Mardiah Rahmadani ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Mixed Model ◽  
Meta Analysis ◽  
Average Daily Gain ◽  
Live Weight ◽  
Blood Metabolites ◽  
P Value ◽  
Black Soldier Fly ◽  
Hermetia Illucens ◽  
Broiler Performance

Black Soldier Fly (BSF, Hermetia illucens) is an insect species that potentially can be used as a protein source for broiler nutrition. This study aimed to evaluate different inclusion level of BSF on broiler performance and blood metabolites by integrating various data from related studies using meta-analysis. Total of 12 studies that comprised of 31 data points were integrated in the database. Parameters observed included Live Weight (LW), Average Daily Gain (ADG), Daily Feed Intake (DFI), Feed Conversion Ratio (FCR), blood metabolites, and carcass proportion. The database was statistically analyzed by using mixed model method. Different studies were considered as random effects, and the level of BSF was treated as fixed effects. The model statistics used were the p-values and the Akaike information criterion. The significance of an effect was stated when its p-value was < 0.05. The results revealed that BSF feeding had significant linearly reduction effect on LW, ADG, and FCR of broiler (P < 0.05) and significant linearly increase effect on DFI and carcass proportion. However, BSF did not significantly affect on blood metabolites of broilers. It can be concluded that BSF negatively affect the performance of broiler.

FACTORS INFLUENCING DRY MATTER INTAKE AND UTILIZATION OF CORN SILAGE BY LACTATING COWS

1968 ◽  
Vol 48 (2) ◽  
pp. 207-214 ◽  
Author(s):  
L. J. Fisher ◽  
V. S. Logan ◽  
L. S. Donovan ◽  
R. B. Carson
Keyword(s):  
Body Weight ◽  
Moisture Content ◽  
Milk Production ◽  
Dry Matter ◽  
Energy Content ◽  
Corn Silage ◽  
Dry Matter Intake ◽  
Factors Affecting ◽  
Lactating Cows ◽  
Factors Influencing

Moisture content, hay supplementation and energy content of corn silages were studied as factors affecting dry matter (DM) intake and utilization by lactating cows. In experiment I, a two-week delay in date of harvest resulted in an increase in DM content of silage for the two varieties of corn, but this was associated with significantly greater (P < 005) DM intake and fat-corrected milk production for only the earlier-maturing variety (Pride 5). Harvest date had no influence on solids-not-fat (SNF) content of the milk or body weight, but silage from Pride 5 corn resulted in a significantly (P < 0.05) higher SNF content and greater loss in body weight. In experiment II, feeding 4.7 kg of hay per day significantly reduced (P < 0.05) silage dry-matter intake and increased total ration dry-matter intake but did not change milk production or composition when compared with feeding 2.3 kg of hay per day. In experiment III, ear silage, stalk and leaf silage and hay were compared as a source of roughage for lactating cows. Total ration dry-matter intake was significantly greater (P < 0.05) for hay fed alone, but milk production was apparently higher when the ear silage was fed.

scholarly journals PSVIII-4 Live growth performance of Jersey steers using an aggressive implant strategy

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 304-304
Author(s):  
Tylo J Kirkpatrick ◽  
Sierra L Pillmore ◽  
Kimberly Cooper ◽  
Travis Tennant ◽  
Ty Lawrence
Keyword(s):  
Growth Performance ◽  
Repeated Measures ◽  
Fixed Effects ◽  
Dry Matter ◽  
Mixed Model ◽  
Average Daily Gain ◽  
Dry Matter Intake ◽  
Repeated Measure ◽  
Feed Ratio ◽  
Daily Gain

Abstract This experiment was designed to study the effect of days on feed and an aggressive implant strategy on Jersey steer growth performance. Steers (n = 30; start of trial body weight (BW) 183 ± 43 kg) were randomly assigned to one of two treatments; negative control (CON) or implanted with Revalor 200 every 70 d (REV; d 0, d 70, d 140, d 210, d 280, d 350) for a total of 6 implants. Steers were weighed every 35 d and daily feed delivery was recorded daily. Data for dry matter intake (DMI) and gain to feed ratio (G:F) were analyzed via a mixed model; the fixed effects were day and treatment. Live growth BW and average daily gain (ADG) used day as the repeated measure and animal as the subject in a repeated measures analysis. Change in BW increased linearly (P &lt; 0.01); treatments differed in BW from d 280 through d 350 (P &lt; 0.01). Average daily gain decreased (P &lt; 0.01) linearly and differed (P &lt; 0.01) at d 70, d 140, d 280, and d 350, but not (P ≥ 0.10) at d 210 or d 420. Dry matter intake was greater (P &lt; 0.05) for REV steers (7.6 kg/d) than CON (6.8 kg/d). Gain to feed ratio did not differ (P ≥ 0.78) between CON steers (0.13 kg/kg dry matter (DM)) and REV (0.14 kg/kg DM) steers, yet G:F differed (P &lt; 0.01) amongst periods (d 70 = 0.21 kg/kg, d 140 = 0.16 kg/kg, d 210 = 0.15 kg/kg, d 280 = 0.13 kg/kg, d 350 = 0.08 kg/kg, d 420 = 0.08 kg/kg). Aggressively implanting Jersey steers improved growth performance by 9.6%, 13.2%, 11.3%, and 7.7% for BW, ADG, DMI, and G:F, respectively.

scholarly journals Linear mixed model for weight analysis in mice infected by Trypanosoma cruzi

2020 ◽  
Vol 42 ◽  
pp. e49916
Author(s):  
Roney Peterson Pereira ◽  
Terezinha Aparecida Guedes ◽  
Érika Cristina Ferreira ◽  
Silvana Marques de Araújo ◽  
Larissa Aparecida Ricardini ◽  
...  
Keyword(s):  
Trypanosoma Cruzi ◽  
Hierarchical Linear Modeling ◽  
Fixed Effects ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Ratio Test ◽  
Linear Modeling ◽  
Components Of Variance ◽  
Treatment Groups ◽  
Random Intercept

The use of linear mixed models for nested structure longitudinal data is called hierarchical linear modeling. This modeling takes into account the dependence of existing data within each level and between hierarchical levels. The process of modeling, estimating and analyzing diagnoses was illustrated through data on the weights of mice experimentally infected by Trypanosoma cruzi, divided into different treatment groups, with the purpose of verifying the evolution of their body weight as a result of using different types of biotherapeutics produced from Gallus gallus domesticus (chicken) serum to treat Trypanosoma cruzi. Through the model selection criteria AIC and BIC and the likelihood ratio test, a model was chosen to describe the data correctly. Model diagnoses were then performed by means of residual analysis for both levels and an analysis of influential observations to verify if any observations were signaled as influencing the fixed effects, the components of variance and the adjusted values. After the analysis, it was possible to notice that the observations that were signaled as influential had little impact on the Model chosen initially, so it was maintained, with no differences being evidenced between the treatments with the biotherapeutics tested; only the Time variable and the Random intercept were necessary to describe the weight of the mice.

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