Grazing management, slope aspect and canopy effects on the compression characteristic of soils of the Gonbad experimental watershed in Hamedan, Iran

Geoderma ◽  
2022 ◽  
Vol 409 ◽  
pp. 115641
Author(s):  
Hossein Bayat ◽  
Mohsen Sheklabadi ◽  
Mohsen Moradhaseli ◽  
Mostafa Rastgou ◽  
Andrew S. Gregory
Keyword(s):  
Grazing Management ◽  
Slope Aspect

Management of grazing systems

1989 ◽  
pp. 117-122 ◽  
Author(s):  
J. Hodgson
Keyword(s):  
Management Practices ◽  
Management Control ◽  
Grazing Management ◽  
Relative Importance ◽  
Stocking Rate ◽  
Pastoral Systems ◽  
Starting Point ◽  
Alternative Means ◽  
Grazing Systems ◽  
Stocking Rates

Recent assessments of the relative importance of stocking rate. stocking policy and grazing management on the output from pastoral systems are used as a starting point to argue the need for objective pasture assessments to aid control of livestock enterprises to meet production targets. Variations in stocking rates, stocking policy and other management practices all provide alternative means of control of pasture conditions which are the major determinants of pasture and animal performance. Understanding of the influence of pasture conditions on systems performance should provide a better basis for management control and for Communication between farmers, extension officers and researchers. Keywords: Stocking rate, pasture condition, pasture cover

Regular estimates of paddock pasture mass can improve profitability on New Zealand dairy farms

2015 ◽  
Vol 77 ◽  
pp. 29-34 ◽  
Author(s):  
P.C. Beukes ◽  
S. Mccarthy ◽  
C.M. Wims ◽  
A.J. Romera
Keyword(s):  
Supply And Demand ◽  
Grazing Management ◽  
Average Error ◽  
Value Proposition ◽  
Perfect Knowledge ◽  
Operating Profit ◽  
A Value ◽  
Main Driver ◽  
Imperfect Knowledge ◽  
Farm Scale

Paddock selection is an important component of grazing management and is based on either some estimate of pasture mass (cover) or the interval since last grazing for each paddock. Obtaining estimates of cover to guide grazing management can be a time consuming task. A value proposition could assist farmers in deciding whether to invest resources in obtaining such information. A farm-scale simulation exercise was designed to estimate the effect of three levels of knowledge of individual paddock cover on profitability: 1) "perfect knowledge", where cover per paddock is known with perfect accuracy, 2) "imperfect knowledge", where cover per paddock is estimated with an average error of 15%, 3) "low knowledge", where cover is not known, and paddocks are selected based on longest time since last grazing. Grazing management based on imperfect knowledge increased farm operating profit by approximately $385/ha compared with low knowledge, while perfect knowledge added a further $140/ha. The main driver of these results is the level of accuracy in daily feed allocation, which increases with improving knowledge of pasture availability. This allows feed supply and demand to be better matched, resulting in less incidence of under- and over-feeding, higher milk production, and more optimal post-grazing residuals to maximise pasture regrowth. Keywords: modelling, paddock selection, pasture cover

MANAGEMENT OF NEW CULTIVARS FOR DRYLAND

1983 ◽  
pp. 61-73 ◽  
Author(s):  
J.A. Lancashire ◽  
J.L. Brock
Keyword(s):  
Tall Fescue ◽  
Seed Quality ◽  
Technical Information ◽  
Grazing Management ◽  
Grass Species ◽  
Hill Country ◽  
Seasonally Dry ◽  
Prairie Grass ◽  
Management Procedures ◽  
New Cultivars

Some characteristics of seed quality, establishment rates, performance in mixtures and response to grazing management of 5 new pasture plants with potential in dryland are described. On a dry hill country site in the Wairarapa, the contribution of the sown grasses established in separate plots with clovers under rotational grazing was 'Grasslands Wana' cocksfoot 65%; 'Grasslands Maru' phalaris 23%; 'Grasslands Matua' prairie grass 22%; and 'Grasslands Roa' tall fescue 13% after 2 years. The other main grass species was resident perennial ryegrass which established from buried seed (ca. 240 plants/m*) and had a major impact on the establishment and growth of the sown grasses. On a seasonally dry Manawatu flat land soil 3 grazing managementsviz. set stocked all year (S); rotational all year (R); and combination (Cl (set stocked from lambing to drafting and rotational for the remainder of the year) were applied to mixtures of the new cultivars (except that 'Grasslands Apanui' cocksfoot replaced Wana) with ryegrass and white clover stocked at 20 sheep/ha. After 3 years the contribution of the new cultivars was negligible under S and ryegrass was dominant. The R pastures became cocksfoot dominant and Matua (in winter) and chicory (in summer) contributed more than in the S system. The C system produced the most evenly balanced species contribution with only Roa remaining at (5%. A sub-trial with cocksfoot cultivars demonstrated that Wana maintained better production and tiller density ~ll,000/m2 ) than Apanui (1000/m' ) under set stocking IS). Although some of the new cultivars will require specialised management procedures to fulfil their potential in dryland, the increasing and widespread use of Matua prairie grass in farming suggests that these techniques can be adopted in commercial agriculture provided good technical information is available in a management package when the cultivar is released. Keywords: Dryland, grazing management, mixtures, Matua prairie grass, Wana cocksfoot, Roa tall fescue, Maru phalaris, Chicory

scholarly journals Influence of Slope Gradient and Aspect on Soil Organic Carbon Content in the Region of Niš, Serbia

2021 ◽  
Vol 13 (15) ◽  
pp. 8332
Author(s):  
Snežana Jakšić ◽  
Jordana Ninkov ◽  
Stanko Milić ◽  
Jovica Vasin ◽  
Milorad Živanov ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Slope Aspect ◽  
Available Phosphorus ◽  
Organic Carbon Content ◽  
Slope Gradient ◽  
Phosphorus And Potassium ◽  
Uncultivated Land

Topography-induced microclimate differences determine the local spatial variation of soil characteristics as topographic factors may play the most essential role in changing the climatic pattern. The aim of this study was to investigate the spatial distribution of soil organic carbon (SOC) with respect to the slope gradient and aspect, and to quantify their influence on SOC within different land use/cover classes. The study area is the Region of Niš in Serbia, which is characterized by complex topography with large variability in the spatial distribution of SOC. Soil samples at 0–30 cm and 30–60 cm were collected from different slope gradients and aspects in each of the three land use/cover classes. The results showed that the slope aspect significantly influenced the spatial distribution of SOC in the forest and vineyard soils, where N- and NW-facing soils had the highest level of organic carbon in the topsoil. There were no similar patterns in the uncultivated land. No significant differences were found in the subsoil. Organic carbon content was higher in the topsoil, regardless of the slope of the terrain. The mean SOC content in forest land decreased with increasing slope, but the difference was not statistically significant. In vineyards and uncultivated land, the SOC content was not predominantly determined by the slope gradient. No significant variations across slope gradients were found for all observed soil properties, except for available phosphorus and potassium. A positive correlation was observed between SOC and total nitrogen, clay, silt, and available phosphorus and potassium, while a negative correlation with coarse sand was detected. The slope aspect in relation to different land use/cover classes could provide an important reference for land management strategies in light of sustainable development.

scholarly journals Big landscapes meet big data: Informing grazing management in a variable and changing world

Rangelands ◽  
2020 ◽  
Author(s):  
Tipton D. Hudson ◽  
Matthew C. Reeves ◽  
Sonia A. Hall ◽  
Georgine G. Yorgey ◽  
J. Shannon Neibergs
Keyword(s):  
Big Data ◽  
Grazing Management ◽  
Changing World
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