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Teagasc - The Irish Agriculture and Food Development Authority

Measurement of Grassland Management Practice on Commercial Dairy Farms

Michael O'Donovan & Pat Dillon

Dairy Production Department, Dairy Production Research Center, Moorepark, Fermoy, Co. Cork

Teagasc acknowledge with gratitude the support of Irish Fertiliser Industries, FBD Trust and Dairy Levy Farmer Funds in the financing of this research project.

November 1999

Dairy Levy Series No. 1

This report is also available in the printer-friendly Adobe Acrobat PDF (121 KB) format.

Summary

  • Visual assessment (>4 cm) was found to be the preferred method of pasture mass estimation.
  • Grass budgeting with the use of grass cover measurement was found to be the most effective aid to good grazing management.
  • Closing farm grass cover in late November/early December should be 350 to 450 kg DM/ha with a range in covers of 200 to 900.
  • Target farm grass covers of 550 to 600 kg DM/ha at turnout at stocking rate of 2.75 cow/ha.
  • Pre-grazing yields at turnout should not be less than 1000 kg DM/ha, giving daily grass allowance of not less than 5 kg DM/cow.
  • The available grass supply in Spring should be budgeted so as to finish the first grazing rotation between the 10th-20th April (grass supply equal grass demand).
  • During the main grazing season (May to August), grazing grass cover should be maintained at 900 to 1000 kg DM/ha or 200 to 240 kg DM/cow.
  • Pre-grazing yield should be maintained at 1800 to 2000 kg DM/ha, with post-grazing residuals at 150 to 200 kg DM/ha (5.5 to 6.5 cm post-grazing height).
  • Stocking rates of greater than 4.5 cow/ha on the grazing area in May/June mostly resulted in inadequate grass supply at some periods over that time.
  • Rotation length can be increased from 21 days in mid/late August to 35 days in late September, allowing grass cover to increase to 1100 to 1300 kg DM/ha.
  • Last rotation should be 25 to 35 days, with first paddocks rested from the 10th to 15th October.
  • Greater use of grass measurements at farm level will allow dairy farmers to obtain a greater proportion of the dairy herd's feed demand from grazed grass, and higher cow performance.

Measurement of Grassland Management Practice on Commercial Dairy Farms

Introduction

The simplest and most financially rewarding system of milk production for Irish dairy farmers is that based on making the maximum use of grazed grass. With good grazing management Irish dairy farms can have a long grazing season of high quality feed at low cost. The CAP reform proposals may result in lower milk prices and, as a result, may compel dairy farmers to use new technology to maintain their incomes. One such technology will be more efficient use of grazed grass. Grassland management practices were studied on 12 intensive dairy farms with a total of 1600 cows and an average stocking rate of 2.7 cows/ha in the grazing period autumn 1995 to winter 1998.

Grassland Measurement

Pasture mass measurement techniques

A project was carried out at Moorepark in which a rising plate meter, sward stick, a single probe capacitance meter and visual assessment (5 observers) techniques were used to estimate herbage mass of swards which were rotationally grazed with dairy cows. Estimates were obtained on five occasions during the grazing season (spring, early summer, late summer, autumn and winter). Calibration regressions were obtained by simple linear regression for each predictor. The criteria used to establish the precision of the techniques was the residual standard deviation (RSD) and coefficients of variation associated with the calibration. On average 90.3% of the variation (R2adj ) was explained with the visual assessment technique, with individual observers ranging from 84.2 to 88.9%. The plate meter and sward stick accounted for 78.4 and 66.9% of the variability in cut yield, respectively. The lowest R2adj was obtained with the pasture probe with only 21.4% of the variation explained. The results showed that the visual assessment of pasture yield is the preferred option and was the method used on farms.

Visits to farms

Each farm was visited once monthly from November to March and bimonthly from April to September. At each visit, measurements included pasture cover (kg DM/ha >4cm), grass availability (kg DM/cow >4 cm), daily grass allowance (kg DM/cow/day >4 cm), pre and post-grazing height, rotation length, cow condition score and level of supplementation. Milk production and herd reproductive performance was recorded using the Dairy Management Information System (Dairy MIS).

Priority measurements

The measurements which were identified to have the largest influence are as follows:

  1. Farm grass cover;
  2. Post-grazing height; and
  3. Pasture quality.

Farm Grass Cover

Farm grass cover is the total supply of available grass (>4 cm) on all paddocks for grazing. A dairy farmer requires a farm map with the area of each paddock and a knowledge of the amount of grass on each paddock to measure farm grass cover.

Farm map

It is essential that all intensive dairy farmers should have an accurate map of the area available for grazing. This should include individual paddock numbers and the corresponding areas. This can also be used as a grazing calendar and for fertilizer spreading, topping and spraying records.

Estimate of grass available on each paddock

The method used is based on visual assessment. The farmer or advisor can calibrated his own visual assessment during a farm walk. This entailed cutting a series of small quadrats and comparing the measured yield to the yield estimated prior to cutting. To obtain the measured yield, a 0.25 m2 quadrat is cut to 4 cm. The herbage is placed in a plastic bag, weighed on a hand-held scales and the yield is then calculated, knowing the dry matter content.

The calculated yield can be compared to the estimated yield. If the DM content is not known this can be obtained by drying 50g of grass for 30 seconds in a microwave. The DM is then multiplied by 2 to get the DM content (%).

The yield per hectare was calculated as follows :

Yield (kg DM/ha) = Fresh weight (g) x DM % x 0.4

e.g.
Size of quadrat = 0.25 m2
Weight of grass in quadrat = 200 gr
Dry matter content of grass =15%
Yield (kg DM/ha) = 200 * 15 * 0.4 = 1,200 kg DM/ha

Note : If more than one quadrat is taken, one composite grass sample is sufficient for DM (%) content estimation. The following guide may be used for DM (%) content estimation.

  • If the cut herbage has a large quantity of surface moisture then DM content is usually 10-13%.
  • If the cut herbage has only a small amount of surface moisture then DM content is usually 14 to 16%.
  • If the cut herbage has no surface moisture, then DM content is usually 16 to 18%.

A ready reckoner is provided in Appendix 1 for a range of quadrat weights and DM contents. Some dairy farmers found the concept of calibration difficult to understand initially; however, the concept can often be best explained or practiced within a discussion group. Table 1 shows an example of a farm cover grass estimation. Appendix 7 shows the sources and prices of the equipment, for grass yield estimation.

Table 1. Illustration of the method of recording pasture cover

Paddock
Number
Paddock area
(ha)
Estimated
cover
Paddock
cover
1 0.96 2200 2112
2 1.20 1950 2340
3 1.00 1750 1750
4 1.00 1850 1850
5 1.50 1100 1650
6 1.30 1300 1690
7 1.20 800 960
8 1.10 675 743
9 1.10 650 715
10 1.20 300 360
11 1.30 350 455
12 1.30 450 585
13 1.30 600 780
14 1.20 900 1080
15 1.30 1100 1430
16 1.20 950 1140
17 1.20 1150 1380
18 1.30 1500 1950
19 1.20 700 840
20 0.95 1500 1425
21 1.20 250 300
  25.0   25535/25
Pasture cover
(kg DM/ha)
    1021

Post-grazing sward height

Post-grazing sward height is the average height (cm) to which a paddock is grazed when the cows have finished grazing. The post grazing sward heights include both dung pads and non-dung pad areas. These give the farmer an independent measurement of how well his cows are being fed. They can also be used as an indication of the residual grass yield left after grazing which, in turn, will have an effect on pasture quality, in the subsequent grazing rotation. Table 2 shows a range of post-grazing severity scores, the associated grass height and a description of the grazing severity.

Table 2. Post grazing severity score

Grazing Score Grazing Height Description
1 <4.5 grossly over-grazed
2 4.5-5.5 over-grazed
3 5.5-6.5 good grazing
4 6.5-7.5 under-grazed
5 >7.5 grossly under-grazed

Pasture quality

Pasture quality is a measure of the digestible energy content of the feed. There are high correlation's between the quality of the pasture, as measured by either the proportion of live-leaf or organic matter digestibility (OMD), and its milk production potential. Factors which influence this are previous post-grazing heights, rotation length, pasture species and the degree of pasture topping being practiced. It was found that the most practical measurement of pasture quality is the proportion of live-leaf in the sward directly ahead of the cows. It is desirable that the proportion of live leaf should not be less than 65% (Table 3).

Table 3. The relationship between the proportion of live leaf and organic matter digestibility.

Percentage
live leaf
OMD
(g/kg)
50 74
55 76
60 78
65 80
70 82
75 84
80 86

To convert (OMD) to dry matter digestibility (DMD) subtract 4 - 5 units from the OMD

Grassland Measurement Guidelines - Critical Periods

For grassland measurement guideline purposes, it was found that the grazing season can be divided into three distinct periods namely:

  • Autumn/winter
  • Spring
  • Main grazing season

Autumn/winter (late August to December)

The aim is to maximize the amount of grass utilized in the period September to December while finishing the grazing season with the desired farm grass cover. The farm grass covers obtained over this period depend on stocking rate, level of supplementation, autumn nitrogen application, calving pattern and milk yield potential. The following guidelines should be followed.

  • Rotation length should be increased from 21 days in mid/late August to 30 - 35 days in late September.
  • Aim for a pasture cover of 1000 -1100 kg DM/ha (at a stocking rate of 2.75 cows/ha) by late September.
  • Pre-grazing yields should not exceed 3000 kg DM/ha and should be adjusted downwards for wetter type soils. Very high pre-grazing yields result in poor pasture quality and poor utilization of this pasture by the grazing animals.
  • The final grazing rotation of the year should be 25 to 35 days in length and resting of paddocks should begin from October 10 to 15.
  • Avoid grazing very high pre-grazing yields (>2500 Kg Dm/Ha) in the final rotation to avoid the problems outlined above. In addition, high pre-grazing yields in the final rotation were shown to have a detrimental effect on subsequent spring grass growth.
  • The closing farm grass cover in late November/early December should be 400kg DM/ha, paddock cover should range between 200kg DM/ha (last closed paddock) to 900 kg DM/ha(first paddock closed).
  • Pastures should be grazed well in the final rotation to encourage autumn/winter tillering. Aim for a residual grass yield of 200 kg DM/ha (5cm high) in paddocks as they are closed in the mid-October to mid-November period.

Spring (late February to late April)

The aim at this period is to maximize the amount of grazed grass in the cows diet while at the same time having a farm grass cover of >850 kg DM/ha by late April. The management factors which have the largest influence on the quantity of grazed grass consumed/cow over this period are overall stocking rate, calving pattern, autumn closing cover, silage ground availability and spring nitrogen application.

Appendix 2 shows how a feed budget may be used to reach the required targets on the farm. Weekly monitoring of grass cover is required with very variable spring grass growth rate. Appendix 3 shows the grass growth rates measured at five locations in the country.

The following guidelines should be followed:

  • Aim for a farm grass cover of 550 to 600 kg DM/ha at turnout at a stocking rate of 2.75 cows/ha. Turnout at lower and higher cover is possible at lower and higher stocking rates, respectively.
  • Pre-grazing yields at turnout should be greater than 1000kg DM/ha and daily grass allowance per cow should not be less than 5kg DM/cow/day.
  • The available grass supply should be budgeted so that the first grazing rotation finishes at April 10 to 20.
  • The target farm grass cover is 850 kg DM/ha in late April (at a stocking rate of 4.5 cows/ha on the grazing area).
  • Excessively low post-grazing heights (<4.5 cm grass cover) should be avoided in this period as it will slow re-growths.
  • Late turnout, with large farm grass cover, often leads to poor grass utilization and subsequent poor pasture quality.
  • Good grazing management practices, such as, block grazing and a good farm road network reduce the risk of soil damage during this period.

Main Grazing Season (May to August)

The objective over this period is to achieve high cow performance from grass with minimal or no concentrates supplementation. High cow performance is achieved by maintaining a consistent grass supply for the herd on a daily basis. Weekly monitoring of farm grass cover will assist this. This will allow early alteration of grass supply, e.g., adjusting stocking rates and/or introducing supplements.

The key grassland management guidelines for this period are as follows;

  • Farm grass cover should be maintained at 900-950 kg DM/ha or 200 to 240 kg DM/cow on the grazing area during the main grazing season.
  • Under normal grass growth rate conditions, a stocking rate of 4.5 cows/ha from mid- April to early June permits adequate feeding of cows at pasture at a grass allowance of 20 -21 kg grass DM/cow/day. Supplementation is required at higher stocking rates. Appendices 4 & 5 give examples of how to calculate daily grass allowance, intakes per cow and kg DM available per cow.
  • Pre-grazing yields should be maintained at 1800-2200 kg DM/ha.
  • Pastures with high post-grazing residues (>350 kg DM/ha) or high post-grazing heights (>7.5 cm) should be topped. Pasture topping should take place early (mid-May) rather than late in the season.
  • Grazing to a very low post-grazing height (< 5 cm) will result in inadequate grass intakes and will result in reduced milk yields and protein content.
  • Aim to maintain >65% of live leaf in the sward immediately ahead of the cows. Appendix 6 gives the method of calculating the percentage live leaf in the sward.
  • Use grass measurements to identify grass surpluses or deficits.

The following conditions indicate a grass surplus:

  • Pasture covers greater than 1100 kg DM/ha on the grazing area in the period from late-April to early August
  • An extremely steep grass supply wedge pattern (350 to 1/43000 kg DM/ha) on the grazing area.
  • Grazing large covers (>2500kg DM/ha) will often result in reduced milk production while topping large residuals often reduces grass supply in the following rotation.

There is a grass deficit when the farm pasture cover is less than 750 kg DM/ha (at a stocking rate >3.5 cow/ha on the grazing area) and when pre-grazing yields are less than 1500kg DM/ha. Reducing grass covers to very low levels results in reduced grass growth rates on the total farm and generally results in underfeeding of the cows. Low farm grass cover can be alleviated by increasing the grazing area and/or introducing supplements while maintaining rotation length at 20 to 24 days.

Benefits to increased use of grass measurements on farms

The study highlighted the following benefits obtained from more routine grass measurement on farms.

  • Greater spring grass supply through improved autumn management.
  • Optimum utilization of spring grass.
  • Identification of grass surpluses and deficits.
  • Achieving higher performance from grazed grass.

Greater spring grass supply by improved autumn management

The study showed the importance of end of season grazing management and its large effect on spring grass supply. Figure 1 shows the increased grass covers at the end of the grazing seasons over the three years and its consequences for the following spring grass supply. The farmers in the study recognized this and changed their grazing management to obtain the benefit.

4351fig01.gif

Figure 1: The average improvement in closing and opening covers over the three year period

Optimum utilisation of spring grass

Research results have shown the large benefit to be obtained from early spring grass. Weekly monitoring of farm grass supply from late February to late April allowed the dairy farmers to maximize this benefit although circumstances differed on the farms, eg., stocking rate, calving pattern, grass supply, etc.

Figure 2 shows the increase, in one spring calving herd, in the proportion of grazed grass in the diet from turnout until the end of April over the three years. The combination of better autumn grazing management and better feed budgeting in spring allowed the farmer to increase the amount of grazed grass by 1.0 tones over the three years.

4351fig02.gif

Figure 2: The increase in the early spring allowance of grazed grass in the diet of one spring calving herd

Identification of grass surpluses and deficits

Frequent monitoring of grass supply during the grazing season allowed the dairy farmers to make earlier and better grazing management decisions. Allowing the grass supply to reduce to very low levels has been shown to reduce the total grass grown on a farm. Likewise, allowing very large grass covers to accumulate reduces milk production and increases the requirement for pasture topping. Excessive topping results in poor grass utilization and probably reduces grass supply in the following rotation. Figure 3 shows how frequent monitoring of grass supply allowed one dairy farmer to make the decisions required to match feed supply to feed demand. Figure 4 shows the grass cover profile of a poorly managed grazing system, pasture cover was in deficit both at turnout and during the main grazing season.

Achieving higher performance from grazed grass

One of the main reasons for low performance being obtained from grazed grass on some farms in the study was an inadequate daily grass allowance.

  • This theory is supported by the very low post-grazing height, large reduction in milk yield, below optimum body condition score and reduced milk protein content of milk.
  • A knowledge of pre-grazing yield and post-grazing height allowed dairy farmers to become more confident in achieving high performance from grazed grass. Figures 5 and 7 show daily feed allowance and milk production, respectively, over the grazing season for a well fed spring calving herd. Figures 6 and 8 show the daily feed allowance and the milk production, respectively, over the grazing season for a poorly fed spring calving herd.
4351fig03.gif

Figure 3: Well managed grass cover over the grazing season

Grazing cover (Y axis on left of graph), stocking rate (Y axis on right of graph). Paddocks cut for silage: 3 paddocks on 27/5, 4 paddocks on 25/7 and 4 paddocks on 5/9.

4351fig04.gif

Figure 4: Shows the grass cover profile of a poorly managed grasscover. Pasture cover is in deficit both at turnout and during the main grazing season

Grazing cover (Y axis on left of graph), stocking rate (Y axis on right of graph). Paddocks cut for silage: 4 paddocks cut for silage 26/8.

4351fig05.gif

Figure 5: Feed allowance of an adequately fed spring calving

4351fig06.gif

Figure 6: Feed allowance of an inadequately fed spring calving herd.

4351fig07.gif

Figure 7: Milk yield and milk composition from the feed allowance shown in Figure 5

4351fig08.gif

Figure 8: Milk yield and milk composition from the feed allowances shown in Figure 6

Conclusions

  • Dairy farmers improved their grassland management when they frequently measured grass covers on their farms.
  • It was possible to closely match grass supply to cows demand for grass by either closing off paddocks for silage when there was surplus grass or by the timely introduction of supplements when there was a grass scarcity.
  • The best method of measuring grass supply was by visual observation. The farmers calibrated themselves by cutting quadrat samples and comparing their yield estimate to the actual cut quadrat yield.
  • The critical grass measurements were pre-grazing grass yield, post grazing grass height, farm grass cover and percentage live leaf in the sward.
  • The last grazing before closing off the farm is most critical since it affects the subsequent spring grass growth.
  • Dairy farmers with spring calving herds produced up to 80 % of milk from grass when they used the good grassland management techniques which were made possible by grass measurements.

Appendices

VIEW APPENDIX 1

VIEW APPENDIX 2

Appendix 3: Grasses growth rates (kg DM/ha)

  Moorepark Wexford Mullingar Claremorris Clones
5 Feb 6.0 4.5 2.3 2.3 2.3
19 Feb 11.5 8.5 6.0 6.0 6.0
4 Mar 15.3 15.3 11.5 13.5 11.5
18 Mar 19.5 19.5 14.6 16.6 14.6
1 Apr 29.6 29.6 26.6 26.6 26.6
15 Apr 56.5 56.5 51.0 51.0 51.0
29 Apr 83.0 83.0 74.7 74.7 74.7
13 May 98.6 93.7 93.7 93.7 93.7
27 May 93.9 89.2 89.2 89.2 89.2
10 Jun 87.4 81.3 81.3 81.3 81.3
24 Jun 84.6 78.7 78.7 78.7 78.7
8 Jul 64.6 61.4 61.4 61.4 61.4
22 Jul 55.0 52.3 52.3 52.3 52.3
6 Aug 60.6 55.1 55.1 55.1 55.1
19 Aug 46.6 42.4 42.4 42.4 42.4
2 Sep 40.1 36.9 36.9 36.9 36.9
16 Sep 37.6 34.6 34.6 34.6 34.6
30 Sep 32.6 29.9 29.9 29.9 29.9
14 Oct 22.7 22.7 19.5 19.5 19.5
29 Oct 13.5 13.5 11.6 11.6 11.6
11 Nov 7.4 5.0 3.9 3.9 3.9
25 Nov 1.3 0.9 .07 0.7 0.7

Appendix 4: Calculating daily grass allowance and intake per cow

a.) Allowance per cow

Example

100 cow herd.
Grazed on 1.2 hectare paddock for one day.
Estimated pre-grazing grass cover on the paddock is 1800 kg DM/ha.
Total grass available to the cows for the day is 1800 x 1.2 = 2160 kg DM.
Daily grass allowance per cow = 2160/100 = 21.6 kg DM.

b.) Intake per cow

Example

Details as above with a post-grazing grass cover on the paddock of 250 kg DM/ha giving a total post-grazing grass cover on the paddock of (250 x 1.2) 300 kg of DM.
Daily herd grass intake is equal to 2,160 minus 300 = 1,860 kg DM.
Daily grass intake per cow = 1,860/100 = 18.6 kg DM.

Appendix 5: Appendices Calculating kg of dry matter per cow

(The method recording farm grass cover was outlined in Table 1)

Example

Farm grass cover = 900kg DM/ha
Stocking rate = 4.5 cows/ha
Farm grass cover per cow = Farm grass cover/stocking rate = 900/4.5 = 200 kg DM/cow

Appendix 6: Calculating the percentage live leaf in a sward

  1. Take a range of grass samples from the sward (cut to 4cm).
  2. From this range of samples take a 50 g sub sample.
  3. Divide this sub sample into two samples, one consisting of live leaf and the other one consisting of all other vegetative material.
  4. Dry both samples in a microwave oven.
  5. Weigh the dried samples.
  6. The live leaf is expressed as a percentage of the combined weights
    eg.,
    • Dried sample of live leaf = 6.5g
      Dried sample of all other material = 2.5 g
      Total weight = = 9.0 g
      Live leaf as a percentage of total weight is 72%

Appendix 7: Equipment required for pasture estimation

Grass shears

Hand scales: Salter Spring Balance S/S (1 kg x 5g) may be sourced from AGB Scientific: Contact Gerry Power Fax (01) 8309533.
Cost £36

Quadrat: (0.25m2) quadrat can be made by welding 0.5m iron 2 segments together

Microwave: A650 watt Microwave £150 was used.

Publications

O'Donovan, M. (1997). Improved Techniques for Grazing Management. M.Agr.Sc. Thesis, University College Dublin.

O'Donovan, M.,Stakelum, G., Dillon, P., Connolly, J. and Rath, M. (1997). The estimation of pasture mass for grazing management. (abstract). Irish Journal of Agricultural and Food Research Vol. 36, No. 1. pp - 130.

O'Donovan, M.,Dillon P., Stakelum, G., and Rath, M. (1998). Feed budget for spring milk production. (abstract) Irish Journal of Agricultural and Food Research Vol, 37 No. 1. p. 132.

O'Donovan, M.,Dillon P., Stakelum, G., and Rath, M. (1998). The influence of grazing management on herd productivity of two spring calving herds. (abstract) Irish Journal of Agricultural and Food Research Vol, 37 No. 1. pp - 132.

O'Donovan, M., Dillon, P., Stakelum, G. (1998). Spring grassland management - using the proper measurements. Farm & Food Vol 8 No. 4 Autumn/Winter (1998) pp 4-7.

O'Donovan, M., Dillon, P., Stakelum, G. and Crosse, S. (1997). Using pasture measurements to monitor performance on intensive dairy farms. Proceedings Irish Grassland and Animal Production Association Dairy Conference, Limerick, 11th April 1997. pp 40-50.

O'Donovan, M., Dillon, P., Stakelum, G. (1998). Grassland management - effect on herd performance. Proceedings Irish Grassland and Animal Production Association Dairy Conference, Limerick, 17th April 1998. pp 39-54.

O' Donovan, M., Stakelum, G., Dillon, P., Connolly, J, and Rath, M. (1997). The estimation of pasture mass for grazing management. Proceedings of the Irish Grassland and Animal Production Association 23rd Annual Research Meeting - Agricultural Research Forum University College Dublin, 3-4th April, 1997, pp.317-318.

O'Donovan, M., Dillon, P., Stakelum, G. and Rath, M. (1998). Moorepark model for spring milk production. Irish Grassland and Animal Production Association, Agricultural Research Forum, University College Dublin, 19th and 20th March, 1998. pp 241-242.

O'Donovan, M., Dillon, P., Stakelum, G. and Rath, M. (1998). The influence of grazing management on herd productivity of two spring calving herds. Poster : Irish Grassland and Animal Production Association, Agricultural Research Forum, University College Dublin, 19th and 20th March, 1998.

O'Donovan, M. (1998). Editor/Author of Booklet "Grassland

Measurement - Benefits and Guidelines". pp.1-24. 12th October, 1998. Teagasc-IFI.

O' Donovan, M. and Dillon, P. (1998). Mid season grassland management. Today's Farm - Vol 9,1. pp20-23.

O' Donovan, M. and Dillon, P. (1998). Beating the spring grass trap. Toady's Farm - Vol 8,5, pp 28-29.

O'Donovan, M, Leonard, S. and Dillon, P. (1999). Improving cow performance with increased use of grazed grass. Proceedings Irish Grassland and Animal Production Association Dairy Conference, Limerick, 16th April 1999, pp 58-64.

O'Donovan, M., Dillon, P., Stakelum, G. Harrington, D. and Rath, M. (1999). An evaluation of four different techniques of pasture mass estimation. Irish Grassland and Animal Production Association, Agricultural Research Forum, University College Dublin, 25th and 26th March, 1999, pp 99-100.

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