scholarly journals The effect of concentrate feeding amount and feeding strategy on milk production, dry matter intake, and energy partitioning of autumn-calving Holstein-Friesian cows

2015 ◽  
Vol 98 (1) ◽  
pp. 338-348 ◽  
Author(s):  
D.C. Lawrence ◽  
M. O’Donovan ◽  
T.M. Boland ◽  
E. Lewis ◽  
E. Kennedy
Keyword(s):  
Milk Production ◽  
Dry Matter ◽  
Feeding Strategy ◽  
Energy Partitioning ◽  
Dry Matter Intake ◽  
Holstein Friesian ◽  
Friesian Cows

scholarly journals Multinutritional blocks as a food strategy to optimize the use of concentrate for lactating goats

2019 ◽  
Vol 41 (1) ◽  
pp. 47441
Author(s):  
Joao Paulo De Farias Ramos ◽  
Wandrick Hauss de Sousa ◽  
Iara Tamires Rodrigues Cavalcante ◽  
Juliana Silva Oliveira ◽  
Edson Mauro Santos ◽  
...  
Keyword(s):  
Milk Production ◽  
Dry Matter ◽  
Feeding Strategy ◽  
Control Diet ◽  
Latin Squares ◽  
Dry Matter Intake ◽  
Economic Viability ◽  
Control Treatment ◽  
Lactating Goats ◽  
Dunnett Test

The objective of this study was to evaluate the use of multinutritional blocks (BMs) associated with the concentrate content in the diet of lactating goats and their effects on milk production and economic viability. Eight goats Parda Alpina, multiparas were distributed in two Latin squares (4x4). The experiment consisted of four treatments (0.971, 0.746, 0.521 and 0.296 kg concentrate day-1 per goat) and BMs ad libitum. It was evaluated the consumption, milk monitoring and the system was analyzed economically. If there was a significant effect of the concentrate, the control treatment was compared to the others using the Dunnett test and 5% regression analysis. When the concentrate contents were high in the diets, the total dry matter intake decreased linearly. However, there was an inverse behavior for the consumption of BMs. Milk production (PL kg day-1) was linear and positively related to the increase of concentrate levels in the diets. The PL was lower for the decreasing levels of concentrate when compared to the control diet. The economic parameters indicate that the use of low concentrate levels associated with BMs is the best feeding strategy for lactating goats. The multinutritional blocks can be used to feed lactating goats to partially replace the concentrate.

Milk production by dairy cows fed legume grains or barley grain with or without urea as supplements to a cereal hay based diet

1990 ◽  
Vol 30 (1) ◽  
pp. 7 ◽  
Author(s):  
SC Valentine ◽  
BD Bartsch
Keyword(s):  
Milk Production ◽  
Faba Bean ◽  
Milk Fat ◽  
Dry Matter ◽  
Milk Protein ◽  
Barley Grain ◽  
Early Lactation ◽  
Milk Protein Content ◽  
Holstein Friesian ◽  
Friesian Cows

Milk production and composition was determined in Holstein-Friesian cows fed either 3.5 or 7.0 kg dry matter (DM) daily of lupin grain, pea grain, faba bean grain or barley grain with or without 1.5% added urea, as supplements to an oaten hay based diet. All the grains were hammermilled. Daily yields of milk (L), fat (kg) and protein (kg) were significantly (P<0.05) higher for cows fed lupin (20.0, 0.81, 0.57), pea (18.9, 0.80, 0.56) and faba bean (18.9, 0.79,0.55) grains compared with those of cows fed barley grain with (17.8, 0.73, 0.51) or without (18.0, 0.71, 0.52) urea. Yields of milk (L), fat (kg) and protein (kg) and milk protein content (g/kg) were significantly (P<0.05) higher when 7.0 kg DM (19.5, 0.80, 0.57, 29.6) compared with 3.5 kg DM (18.0,0.73,0.51,29.0) of grain was fed. There were no significant differences between treatments in hay DM intake by cows fed 3.5 kg DM of grain daily. A significantly (P<0.05) higher milk fat production per unit DM intake was recorded for cows fed legume compared with barley grain. There were generally higher returns above grain cost for cows fed legume compared with barley grain and for cows fed 4 kg compared to 8 kg daily of grain. It was concluded that it was more economical to feed 3.5 kg DM of legume grain compared with 3.5 kg DM of barley grain, with or without urea, as supplements for cows offered cereal hay in early lactation. However, the economics of feeding 7.0 kg DM of legume grain compared with 7.0 kg DM of barley grain and 7.0 kg DM compared with 3.5 kg DM of grain will depend on the costs of relative changes in hay intake associated with these practices.

scholarly journals Dry matter intake and feed efficiency profiles of 3 genotypes of Holstein-Friesian within pasture-based systems of milk production

2010 ◽  
Vol 93 (9) ◽  
pp. 4318-4331 ◽  
Author(s):  
J. Coleman ◽  
D.P. Berry ◽  
K.M. Pierce ◽  
A. Brennan ◽  
B. Horan
Keyword(s):  
Milk Production ◽  
Feed Efficiency ◽  
Dry Matter ◽  
Dry Matter Intake ◽  
Holstein Friesian

Influence of diet composition, dry-matter intake, milk production and energy balance on time of post-partum ovulation and fertility in dairy cows

1992 ◽  
Vol 54 (3) ◽  
pp. 323-331 ◽  
Author(s):  
M. C. Lucy ◽  
C. R. Staples ◽  
W. W. Thatcher ◽  
P. S. Erickson ◽  
R. M. Cleale ◽  
...  
Keyword(s):  
Energy Balance ◽  
Dry Matter ◽  
Ovarian Function ◽  
Post Partum ◽  
Food Additives ◽  
Dry Matter Intake ◽  
Holstein Friesian ◽  
Days Open ◽  
Post Partum Period ◽  
Friesian Cows

AbstractLactating Holstein-Friesian cows from two calving groups (no. = 90) were studied during the early post-partum period to determine the effect of dry-matter intake (DM1), 40 g/kg fat-corrected milk (FCM) production, energy balance (EB), parity, and food additives (calcium salts of long-chain fatty acids [CaLCFA] and niacin) on the recrudescence of ovarian function and establishment of pregnancy. Cows that ovulated early during the post-partum period (15 to 21 days after calving) consumed more food and tended to produce more FCM compared with cows ovulating later (22 to 42 days or after 42 days). Primiparous cows had lower EB and tended to have longer intervals to first ovulation compared with multiparous cows but the average interval to pregnancy was similar for primiparous and multiparous cows. Feeding CaLCFA tended to extend the interval to first service and decreased pregnancy rate. Production characteristics (including DMI and FCM production) seem to determine interval from calving to first ovulation as well as interval from calving to pregnancy (days open). Fertility was affected negatively by feeding CaLCFA.

Selecting for nutritive value in Digitaria milanjiana. 4. Milk production from an elite genotype compared with Digitaria eriantha ssp. pentzii (pangola grass)

1991 ◽  
Vol 31 (5) ◽  
pp. 603 ◽  
Author(s):  
KF Lowe ◽  
RJ Moss ◽  
RT Cowan ◽  
DJ Minson ◽  
JB Hacker
Keyword(s):  
Milk Production ◽  
Dry Matter ◽  
Nutritive Value ◽  
Pasture Management ◽  
Leaf Quality ◽  
Digitaria Decumbens ◽  
Holstein Friesian ◽  
Digitaria Eriantha ◽  
Matter Basis ◽  
Friesian Cows

An elite genotype of Digitaria milanjiana, which had been selected on the basis of improved leaf digestibility, was compared with pangola grass (Digitaria eriantha ssp. pentzii, formerly Digitaria decumbens) in terms of milk production, at Mutdapilly in south-eastem Queensland. Unsupplemented Holstein-Friesian cows grazed nitrogen-fertilised, irrigated swards of 2 grasses using a switch-back experimental design. Pasture management and stocking rate were adjusted to provide the animals with 15 kg of green leaf (on a dry matter basis) per cow per day, so that any differences in milk yield could be attributed to differences in leaf quality rather than to total dry matter yield. Cows grazing the selected genotype produced 0.9 kg more milk, 0.07 kg more butterfat and 0.05 kg more protein per cow per day (5.8, 13.0 and 10.9%, respectively) than those grazing pangola grass. These increases were associated with a small increase in leaf digestibility, a faster rate of breakdown of leaf (in an artificial masticator) and a higher proportion of leaf in the diet chosen by the cows grazing the selected genotype. The results of this experiment demonstrate that a tropical grass selected on the basis of digestibility increased milk production of grazing cows. However, factors other than higher digestibility (such as leafiness) contributed to the improvement in production over that from pangola grass.

scholarly journals External validation of the GrazeIn model of pasture dry matter intake and milk yield prediction for cows managed at different calving dates and stocking rates

2018 ◽  
Vol 15 (4) ◽  
pp. e0608
Author(s):  
Ana I. Roca-Fernández ◽  
Antonio González-Rodríguez
Keyword(s):  
Milk Yield ◽  
Dry Matter ◽  
External Validation ◽  
Dry Matter Intake ◽  
Holstein Friesian ◽  
Grazing System ◽  
The Mean ◽  
Using Data ◽  
Stocking Rates ◽  
Friesian Cows

The aim was to evaluate the prediction accuracy of pasture dry matter intake (PDMI) and milk yield (MY) predicted by the GrazeIn model using a database representing 124 PDMI measurements at paddock level and 2232 MY measurements at cow level. External validation of the model was conducted using data collected from a trial carried out with Holstein-Friesian cows (n=72) while grazed 28 paddocks and were managed in a 2×2 factorial design by considering two calving dates (CD), with different number of days in milk (DIM), early (E, 29 DIM) vs. middle (M, 167 DIM), and two stocking rates (SR), medium (M, 3.9 cows ha-1) vs. high (H, 4.8 cows ha-1), under a rotational grazing system. Cows were randomly assigned to four grazing scenarios (EM, EH, MM and MH). The mean observed PDMI of the total database was 14.2 kg DM cow-1 day-1 while GrazeIn predicted a mean PDMI for the database of 13.8 kg DM cow-1 day-1. The mean bias was −0.4 kg DM cow-1 day-1. GrazeIn predicted PDMI for the total database with a relative prediction error (RPE) of 10.0% at paddock level. The mean observed MY of the database was 23.2 kg cow-1 day-1 while GrazeIn predicted a MY for the database of 23.1 kg cow-1 day-1. The mean bias was –0.1 kg cow-1 day-1. GrazeIn predicted MY for the total database with a mean RPE of 17.3% at cow level. For the scenarios investigated, GrazeIn predicted PDMI and MY with a low level of error which made it a suitable tool for decision support systems.

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