LIME AND DAIRY PRODUCTION

Author(s):  
N.A. Thomson

In a four year grazing trial with dairy cows the application of 5000 kg lime/ ha (applied in two applications of 2500 kg/ha in winter of the first two years) significantly increased annual pasture production in two of the four years and dairy production in one year. In three of the four years lime significantly increased pasture growth over summer/autumn with concurrent increases in milk production. In the last year of the trial lime had little effect on pasture growth but a relatively large increase in milkfat production resulted. A higher incidence of grass staggers was recorded on the limed farmlets in spring for each of the four years. In the second spring immediately following the second application of lime significant depressions in both pasture and plasma magnesium levels were recorded. By the third spring differences in plasma magnesium levels were negligible but small depressions in herbage magnesium resulting from lime continued to the end of the trial. Lime significantly raised soil pH, Ca and Mg levels but had no effect on either soil K or P. As pH levels of the unlimed paddocks were low (5.2-5.4) in each autumn and soil moisture levels were increased by liming, these factors may suggest possible causes for the seasonality of the pasture response to lime

2015 ◽  
Vol 44 (5) ◽  
pp. 17-20
Author(s):  
MM Scholtz ◽  
J Du Toit ◽  
FWC Neser

Primary beef cattle farming in South Africa is largely extensive, whereas dairy farming is based on both total mixed ration and pasture production systems. Under natural rangeland conditions, decomposition of manure is aerobic, which produces carbon dioxide (CO2), part of which is absorbed by the regrowth of vegetation rather than released into the atmosphere, and water (H2O) as end products. Thus the cow releases methane (CH4) and the manure CO2. This is in contrast to intensive cow-calf systems in large parts of Europe and North America, where large quantities of manure are stockpiled and undergo anaerobic decomposition and produce CH4. Thus both the cow and the manure release CH4, which result in a higher carbon footprint than the extensive cow-calf systems. In dairy farming, increasing cow efficiency through intensive feeding (same kg milk output by fewer animals) can reduce farm CH4 production by up to 15%. In addition, when differences in productivity are accounted for, pasture systems require more resources (land, feed, water, etc.) per unit of milk produced and the carbon footprint is greater than that of intensive systems. This raises the question as to why the carbon footprint of intensive dairy cow production systems is less, but the carbon footprint of intensive beef cow-calf production systems is higher. The explanation lies in the differences in production levels. In the case of beef cows the weight of the intensive cows will be ± 30% higher than that of the extensive cows, and the weaning weight of their calves will also differ by ± 30%. In the case of dairy cows the weight of the intensive cows will be ± 20% higher, but their milk production will be ± 60% higher. The higher increase in production (milk) of intensive dairy cows, compared to the increase in production (calf weight) of intensive beef cows, explains the antagonism in the carbon footprint between different beef and dairy production systems. Unfortunately, carbon sequestration estimates have been neglected and thus the quantitative effects of these differences are not known.Keywords: Cow-calf production, methane, pasture production, production levels, total mixed ration


2021 ◽  
Vol 7 (1) ◽  
pp. 19
Author(s):  
Wida Nur Ningsih

The purpose of this study was to determine the relationship between milk production of PFH dairy cows with BCS at the first lactation at BBPTU HPT Baturraden. The study was conducted from March 20 to April 20 2018, with research material consisting of 250 production data records and 250 BCS data records that were corrected in lactation months 1 to 10 originating from BBPTU HPT Baturraden. Data analysis shows that milk production has a close relationship with lactation month, the results are shown by the equation y = -0.1223x2 + 0.6068x + 13.493 with R2 of 0.97. These results are reflected in the milk production curve which shows in the first month to the third month that there is an increase in milk production, with peak production being reached in the third month. Average peak milk production is 14.74 liters / head / day and average milk production Daily 12.12 liters / head / day. The results of the BCS analysis show that BCS has a close relationship with the lactation month, the results are shown by the equation y = 2.9133 + 0.0132x2 + 0.0365x shown with R2 of 0.95. The results on the BCS graph show that BCS is increasing as the lactation period progresses, the largest average BCS is obtained 3.79 in the 10th month. The relationship between milk production and BCS based on the analysis shows the equation y = -3,9224x2 + 18,894x - 7,6087, indicated by an R2 of 0.98.


2017 ◽  
Vol 57 (7) ◽  
pp. 1414 ◽  
Author(s):  
G. S. Cun ◽  
G. R. Edwards ◽  
R. H. Bryant

Strategies to increase herbage dry-matter (DM) production are sought for dairy systems. One proposed strategy is tactical spring defoliation with greater pre-grazing herbage mass and higher post-grazing heights. However, there are concerns over the effects of these strategies on herbage quality, DM intake and milk production. Irrigated, diverse pastures in Canterbury, New Zealand, containing perennial ryegrass, white clover, chicory, plantain and lucerne, were managed over two grazing rotations in spring under normal (grazed to 3.5 cm) or lax management (grazed to 5 cm, allowing early ryegrass seedhead development before normal grazing at anthesis ‘late control’). On the third grazing rotation, a milk production study was conducted. Thirty-six, mid-lactation spring calving Friesian × Jersey dairy cows were allocated to nine groups of four cows and randomly allocated to three replicates of the following three treatments: (1) normal grazing (Norm), (2) lax grazing of standing herbage (Lax) and (3) lax grazing with pre-graze mowing of herbage (Mow). Cows were offered a daily herbage allocation of 30 kg DM/cow above ground level, with milk production measured over 8 days. Pastures managed under lax management had higher pre-grazing herbage mass (4149 kg DM/ha) than did pastures managed under normal management (3105 kg DM/ha), but all treatments had similar metabolisable energy (~12.26 MJ ME/kg DM). Daily milksolid (MS) production tended to be lower (P = 0.07) for cows grazing pastures managed under Lax and Mow (2.34 and 2.24 MS/cow.day respectively) than with Norm (2.43 MS/cow.day). Although there was no difference in daily MS production between mowing and greater pre-graze herbage mass, switching from a high to low grazing residual managed by either grazing or mowing in late spring is likely to have a negative impact on milk production.


Author(s):  
A. Cushnahan ◽  
F.J. Gordon

Recent work by Chiy and Phillips (1991, 1992) has shown that the application of sodium (Na) fertiliser can produce improvements in pasture growth, pasture composition and the performance of grazing dairy cattle. However other studies have shown much smaller or zero effects in terms of pasture production following Na application (Smithet al., 1983; O'Connoret al., 1989). The objective of the present series of studies was to examine the milk production response to Na fertilisation of pasture under a differing set of soil and climatic conditions and to establish if there was an optimum level of Na input. In addition it was important to pursue the mechanisms of any animal production responses recorded. A series of studies were therefore undertaken to examine: (a) the influence of Na fertilisation of pasture on dairy cattle performance in comparison with any effects obtained through dietary Na supplementation, and (b) the effects of Na on herbage production, composition and digestibility.


1969 ◽  
Vol 50 (4) ◽  
pp. 255-269
Author(s):  
Paul F. Randel

Seven Brown Swiss and nine Holstein cows, which attained a milk-production level of at least 35 pounds daily by the third week of lactation, were divided into two groups as nearly alike as possible. During the preliminary period, days 3 to 21 of lactation, all cows received the same standard concentrates mixture: 1 pound per 2 pounds of milk produced, plus green chopped grass or silage ad libitum, and nightime grazing mostly on unimproved pastures. During the comparison period, days 22 to 49 of lactation, the control cows continued under the same conventional ration, except that concentrate allowances were adjusted by the Maryland Feeding Standards, while the experimental cows were fed a mixture containing 15 percent of sugarcane bagasse and 85 percent of concentrates ad libitum, along with decreasing amounts of harvested forage with no pasture. During the comparison period, days 50 to 259 of lactation, the control cows were treated as in the preceding period, while, the experimental cows received only the concentrate-bagasse mixture, plus standard-concentrates mixture (during milking) and loose unground bagasse.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246922
Author(s):  
Saheed A. Salami ◽  
Colm A. Moran ◽  
Helen E. Warren ◽  
Jules Taylor-Pickard

Slow-release urea (SRU) is a coated non-protein nitrogen (NPN) source for providing rumen degradable protein in ruminant nutrition. A meta-analysis was conducted to evaluate the effects of replacing vegetable protein sources with SRU (Optigen®, Alltech Inc., USA) on the production performance of dairy cows. Additionally, the impact of SRU supplementation on dairy sustainability was examined by quantifying the carbon footprint (CFP) of feed use for milk production and manure nitrogen (N) excretion of dairy cows. Data on diet composition and performance variables were extracted from 17 experiments with 44 dietary comparisons (control vs. SRU). A linear mixed model and linear regression were applied to statistically analyse the effect of SRU on feed intake and production performance. Feeding SRU decreased (P < 0.05) dry matter intake (DMI, -500 g/d) and N intake (NI, -20 g/d). There was no significant effect (P > 0.05) on milk yield, fat-corrected milk, energy-corrected milk, and milk fat and protein composition. However, SRU supplementation improved (P < 0.05) feed efficiency (+3%) and N use efficiency (NUE, +4%). Regression analyses revealed that increasing SRU inclusion level decreased DMI and NI whereas increasing dietary crude protein (CP) increased both parameters. However, milk yield and feed efficiency increased in response to increasing levels of SRU inclusion and dietary CP. The NUE had a positive relationship with SRU level whereas NUE decreased with increasing dietary CP. The inclusion of SRU in dairy diets reduced the CFP of feed use for milk production (-14.5%; 373.13 vs. 319.15 g CO2 equivalent/kg milk). Moreover, feeding SRU decreased manure N excretion by 2.7% to 3.1% (-12 to -13 g/cow/d) and N excretion intensity by 3.6% to 4.0% (-0.50 to -0.53 g N/kg milk). In conclusion, feeding SRU can contribute to sustainable dairy production through improvement in production efficiency and reduction in environmental impacts.


2008 ◽  
Vol 91 (5) ◽  
pp. 2151-2163 ◽  
Author(s):  
K.A. Macdonald ◽  
J.W. Penno ◽  
J.A.S. Lancaster ◽  
J.R. Roche

1999 ◽  
Vol 7 ◽  
pp. 39-44
Author(s):  
E.R. Thom ◽  
D.A. Clark ◽  
C.D. Waugh

Sixteen short term tests of the effects of ryegrass (Lolium perenne L.) endophyte on milk production from dairy cows were carried out at Dairying Research Corporation (DRC) sites in Taranaki (1992/93) and Waikato (1993-1999). Increasing contamination of endophyte-free areas with volunteer endophyte-infected ryegrass could have modified milk production responses to endophyte in the first of two trials in the Waikato (1993- 1996). Test periods were in spring, summer and autumn. Significant effects of endophyte on milk production were detected on only 4 occasions. Small (


2019 ◽  
Vol 58 ◽  
pp. 23-32
Author(s):  
T. V. Orikhivskyi ◽  
V. V. Fedorovych ◽  
N. P. Mazur

Dairy productivity of the milking herd is one of the main indicators that characterize the effectiveness of dairy cattle breeding. Optimal internal and external factors of cow productivity are directly dependent on the dynamics of yields throughout the lactation displayed by the lactation curve. In production conditions, preference is given to cows whose yields curve is gradually increasing and decreasing evenly, what means such animals have high lactation activity. The high and steady lactation curve indicates the ability of cow withstand a long physiological load for a long time. The purpose of our work was to study the nature of lactation curves and lactation resistance in different cows’production types of Simmental breed. Researches were carried out in agricultural limited liability company “Litinske” of Drohobych district of Lviv oblast on Simmental cows. A sample includes 161 mature cowbanes cows with the third full lactation. The distribution of cows into production types was performed by the method, described by Z. Aysanov. It was found that cows' yields for 305 days of first lactation at average over the herd was 4358 kg, and in 305 days of the third lactation – 4850 kg. When dividing animals into production types we found that the highest milk yields for the studied lactation were characterized dairy cows. Lactation curves of cows of the studied production types were quite stable. They had the highest average monthly yields from the second to the fifth month of lactation, and the maximum yields were mostly in the third month. The heifers and mature cowbanes of dairy production type compared to the same year cows of dairy-meat and meat-dairy types have higher monthly average milk yields. The minimum difference between the average milk yield per third lactation between dairy and dairy-meat and meat-dairy production types were observed at the first months of lactation, and the maximum – in the last. This indicates that animals of dairy production type lactation curves were more stable than the same year of different types. The best lactation activity of dairy production cows is show also indices calculated by different methods. In particular, these animals are mostly have significantly higher values of indices of dairy constancy by H. Terner, lactation constancy by I. Yoganson and A. Hanson, the full value of lactation according to V. B. Veselovsky, A. Zhyrnov, lactation resistance according to J. I. Weller et al., lactation decline according to D. V. Elpatyevskyi and index of actation curve forms by P. Mahadevan. A certain dependence of lactation resistance in cows of different production types was established on their age. In particular, dairy production animals had more stable third lactation, than the first.  Higher lactation resistance of dairy cows shows only half of the calculated indices, and the meat-dairy type animals had more valuable first lactation. The yields of the cows depends to some extent on the shape of the lactation curve. Among the animals of the production types under study, cows with a highly stable form had the highest yield lactation curve. The second position in this indicator had animals with a medium-stable lactation curve and lowest milk yields had low-stability lactation curve. However, it should be noted that significantly higher milk yields highly stable lactation curve was observed only in mature cowbanes dairy production type. In order to choose the best method that will most objectively allow to establish individual and group characteristics of cows by nature of lactation activity, we calculated the coefficients of correlation of yield with the indices that characterize lactation activity of cows of different production types. Correlation analysis showed that between lactation yields and indices calculated by H. Terner, V. Veselovskyi, and A. Zhirnov and J. I. Weller et al., exists mostly a positive high-quality correlation. These indexes are the most predictive about the nature of lactation activity of cows of the studied production types. The lowest values correlation coefficients, and in some places negative indices, are noted between animal yields and indices, calculated by I. Yohansson and A. Hanson, D. V. Elpatyevskyi, and P. Mahadevan. It is established that the character of lactation activity of cows is influenced by their belonging toproduction type. This factor both heifers and mature cowbanes had greatest affected at the constancy of the yield by H. Terner (63.7 and 32.0% of the total phenotypic variability, P < 0.001), the value of lactation according to V. B. Veselovskyi and A. Zhirnov (73.4 and 34.5%, P < 0.001) and lactation resistance according to J. I. Weller et al. (41.9 and 31.3%, P < 0.001).


2011 ◽  
Vol 168 (1-2) ◽  
pp. 131-143 ◽  
Author(s):  
J. Baudracco ◽  
N. Lopez-Villalobos ◽  
L.A. Romero ◽  
D. Scandolo ◽  
M. Maciel ◽  
...  

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