Grazing Management Systems for the Shortgrass Prairie

2019 ◽  
pp. 9-24
Author(s):  
R. H. Hart ◽  
M. J. Samuel ◽  
J. W. Waggoner ◽  
C. C. Kaltenbach ◽  
M. A. Smith
Keyword(s):  
Grazing Management ◽  
Management Systems ◽  
Shortgrass Prairie

Simulated evaluation of grazing management systems for arid chenopod rangelands in Western Australia

1994 ◽  
Vol 44 (4) ◽  
pp. 397-418 ◽  
Author(s):  
R.B. Hacker ◽  
G.S. Richmond
Keyword(s):  
Western Australia ◽  
Grazing Management ◽  
Management Systems

scholarly journals Intensive Grazing Management Systems for Deer

2003 ◽  
Vol 9 ◽  
pp. 89-91
Author(s):  
G. Steven
Keyword(s):  
Grazing Management ◽  
Management Systems

Managing pastures…

scholarly journals THE VALUE OF GRASS IN REDUCING FARM WINTERING COSTS IN HAWKE'S BAY

1975 ◽  
pp. 16-22
Author(s):  
I.B. Spiers
Keyword(s):  
Management Practices ◽  
Historical Data ◽  
Grazing Management ◽  
Management Systems ◽  
Winter Grazing ◽  
Supplementary Feed ◽  
Management Changes ◽  
Stocking Rates

Historical data on stocking rates and supplementary feed used on the 321 ha farm are given for the years 1970 to,l975. During this period major changes in winter grazing management practices were adopted. Management changes and reasons for thim are described and cost of and labour advantages of these changes; associated with a reduction of supplementary feed, are outlined: It is concluded that increases in stocking rates do not necessarily increase profit since in some instances they cause an increase in supplememary feeding. It is also concluded that the farm could winter l8 stock units/ha provided buying and selling policies were correctly timed and management systems used that can control intakes to the level desired.

A Decision Support Approach to Sustainable Grazing Management for Spatially Heterogeneous Rangeland Paddocks.

1996 ◽  
Vol 18 (2) ◽  
pp. 370 ◽  
Author(s):  
JA Bellamy ◽  
D Lowes ◽  
AJ Ash ◽  
JG Mcivor ◽  
ND Macleod
Keyword(s):  
Decision Support ◽  
Production Systems ◽  
Sustainable Use ◽  
Integrated Approach ◽  
Grazing Management ◽  
Management Systems ◽  
Land Resource ◽  
Management Options ◽  
Grazing Land ◽  
Spatial And Temporal Scales

Public concern for the way land resources are used has led to the introduction of legislation in several Australian States requiring the demonstration of sustainable use of the pastoral resource. However, no practical system of appraisal of sustainability in grazing management systems exists. The common situation facing decision-makers at policy and enterprise levels is one of inadequate, unobtainable or inappropriate data, or systematic indeterminacy. This necessitates erring on the side of caution, through an adaptive integrated approach to decision-making. Such an approach requires: (i) an understanding of the key processes that govern the interactions between livestock, plants, and heterogeneous landscape systems; (ii) the identification of indicators of potential problems in these systems at spatial and temporal scales relevant to human use and management; and (iii) the availability of effective tools to evaluate management options in terms of their risks to the sustainability of the grazing land resource, and the profitability of production. This paper describes a decision support approach to improving our understanding of the complexities of grazing management systems. The paper first proposes an integrated framework for a decision support system (DSS) for evaluating the sustainability of grazing management in terms of the risk of changes to the vegetation and soil resource, and the profitability of production. It then examines an application of a DSS approach, called Landassess DSS, to the tropical woodlands in northern Australia, and discusses the broader implications for sustainable management of extensive native pasture livestock production systems.

Grazing management of white clover in mixed pastures

2006 ◽  
pp. 303-307 ◽  
Author(s):  
J.L. Brock
Keyword(s):  
Plant Growth ◽  
White Clover ◽  
Management Practices ◽  
Management Strategies ◽  
Dairy Industry ◽  
Poor Performance ◽  
Grazing Management ◽  
Management Systems ◽  
The Face ◽  
Light Management

Poor performance of white clover in the current climate of innovation farm management practices has become problematical, particularly within the dairy industry. There are as many grazing management systems as there are farmers and management guidelines can only be broad generalisations at best, with little interpretive value in the face of the multitude of options available and variables recognised and unrecognised. The principles of plant growth are used to interpret grazing management strategies in order for farmers to have greater understanding of their pastures and determine for themselves what the expectations and outcomes of various management strategies may be. This is of greater relevance to the dairy industry where innovative changes (pasture covers, grass cultivars, pasture renewal and establishment techniques, fertiliser N) can combine to produce a 'clover unfriendly environment'. Keywords: competition, fertiliser N, grazing management, light, management systems, plant growth, protection, space, white clover.

scholarly journals Effects of three whole-farmlet management systems on Merino ewe fat scores and reproduction

2013 ◽  
Vol 53 (8) ◽  
pp. 740 ◽  
Author(s):  
G. N. Hinch ◽  
M. Lollback ◽  
S. Hatcher ◽  
J. Hoad ◽  
R. Marchant ◽  
...  
Keyword(s):  
Reproductive Performance ◽  
Additive Model ◽  
Grazing Management ◽  
Management Systems ◽  
Emergent Properties ◽  
Stocking Rate ◽  
Generalised Additive Model ◽  
District Management ◽  
Average Proportion ◽  
Fat Score

As part of the Cicerone Project’s whole-farmlet experiment on the Northern Tablelands of New South Wales, Australia, the fat scores and reproductive performance of ewes were measured to assess the effect of different management systems on these important production parameters over time. The three farmlets (each of 53 ha) included one (farmlet B) subjected to ‘typical’ district management consisting of moderate levels of inputs and a target stocking rate of 7.5 dse/ha, with flexible grazing management across eight paddocks. A second farmlet (A) was managed in a similar fashion to farmlet B with respect to number of paddocks and grazing management, but modified by high rates of pasture renovation and higher levels of soil fertility, with a target stocking rate of 15 dse/ha. The third farmlet (C) was managed at the same level of moderate inputs as farmlet B but employed intensive rotational grazing over 37 paddocks and also had a high target stocking rate of 15 dse/ha. The experiment was conducted over 6.5 years from July 2000 to December 2006. In spite of the fact that target levels of stocking rate were chosen at the beginning of the experiment, stocking rate, together with fat scores and reproduction were treated as emergent properties of each farmlet system. Joining took place in April–May and lambing occurred in September–October of each year. Over the first 2 years of the experiment, there were few differences among farmlets in ewe fat scores or reproductive performance. From 2003 onwards, while the percentage of ewes pregnant was similar between farmlets, the average proportion of multiple births (ewes scanned in late July, with twins) was 30%, 16% and 12%, respectively, on farmlets A–C. However, lamb losses were greater on farmlet A, with average lamb mortalities recorded on farmlets A–C of 29%, 10% and 19%, respectively. Over the duration of the experiment, ewes on farmlets A and B were more often above a fat score level of 3, and less often below 2.5, than were ewes from farmlet C. Differences among farmlet ewes in fat score were found to be significant in 7 of the total of 13 assessments over the duration of the experiment. A generalised additive model applied to whole-farmlet data showed that green digestible herbage, legume herbage, stocking rate, the amount of supplement fed and especially the proportion of each farmlet grazed at any one time all influenced fat scores of ewes. While fat scores and conception rates tended to be highest on farmlet A, farmlet B had slightly better reproductive outcomes due to less lambing losses, whereas ewes on farmlet C tended to have somewhat lower fat scores and levels of reproduction. These farmlet-scale findings highlighted the importance for livestock managers to focus not only on grazing management, stocking rate and stock density during lambing, but also on the availability of sufficient green, and especially legume herbage, and the difficulty of overcoming a deficit in quality herbage with supplementation.

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