Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance

Chapman, D. F.; Kenny, Sean; Beca, D.; Johnson, I. R.

doi:10.1016/j.agsy.2008.02.001

Cited by 77 publications

(38 citation statements)

References 22 publications

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“…Pasture growth, feed intake, cow liveweight, milk yield (autumn and spring), explore different management and risk scenarios, effect of dairy cow reproduction on farm economic performance. (Moore et al 2007) (Eckard et al 2006;Bryant et al 2007;Cullen et al 2007Cullen et al ,2008Chapman et al 2008;White et al 2008) (Berntsen et al 2005;Hutchings et al 2007) (Ándales et al 2005) (Hill et al 1999;Boschma & Scott 2000;Clark et al 2000Clark et al ,2003Cohen et al 2003;Salmon et al 2004;Bryant et al 2005;Robertson 2006) (Thornley & Verberne 1989;Thornley et al 1995;Cannell & Thornley 1998;Thornley & Cannell 2000;Thornley 2001;Barrettetal. 2004) (Rotz et al 1999b(Rotz et al ,c, 2003Sanderson et al 2001;Corson et al 2006Corson et al ,2007 (Cacho et al , 1999) Wastney et al 2002;Beukes et al 2005aBeukes et al ,b, 2007 was identified, the name of the model and the keyword "simulation" were entered as keywords in web of Knowledge®.…”

Section: Model Identificationmentioning

confidence: 99%

Modelling pastoral farm agro‐ecosystems: A review

Bryant

Snow

2008

New Zealand Journal of Agricultural Research

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A pastoral farm is a complex agro-ecosystem that produces agricultural outputs such as milk, meat and wool. Detailed consideration of the complexities of agro-ecosystem components, and the interactions between these components, may be best approached with simulation modelling. We reviewed nine simulation models (APSIM, EcoMod, FASSET, GRAZPLAN, GPFARM, Hurley Pasture Model, IFSM, LINCFARM, and WFM) used primarily for research of grazing systems. GrassGro (one of the GRAZPLAN suite of decision support tools), LINC-FARM, and WFM had particular strength in their simulation of animal production and farm management. The strengths of APSIM, EcoMod and FAS-SET lie in their simulation of soil nutrient dynam ics, crop or pasture production and spatial variations in soil properties. The Hurley Pasture Model has particular capability to model nutrient cycling in the presence of climate change. The IFSM includes a comprehensive representation of machinery. GP-FARM can be used to predict forage production of different plant functional groups.We suggest that more emphasis could be placed on including the effects of pests and diseases on pasture production and animal performance, more detailed representation of management practices, inclusion of more mechanistic voluntary feed intake and rumen processes and including the effect of specific genes and gene-by-environment interactions on plant quality and yields, nutrient use and animal performance. The Common Modelling Protocol, used in APSIM and the GRAZPLAN suite, may enable the development of a powerful and flexible pastoral agro-ecosystem model which incorporates newly developed modules of the nature mentioned above.

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Section: Model Identificationmentioning

confidence: 99%

Modelling pastoral farm agro‐ecosystems: A review

Bryant

Snow

2008

New Zealand Journal of Agricultural Research

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“…Chapman et al (26) suggested that increased use of home-grown forages may increase the farm operating profits of southern Australian dairy farmers by 30% to 45%. Similarly, a study conducted by Alford et al (8) showed that feeding systems based on home-grown forages can achieve around 8%-12% return on total assets while the systems based on only pasture and concentrates generate around 6% return on assets (9).…”

Section: Increased Profitability Through Increased Use Of Home-grown mentioning

confidence: 99%

“…After silage production, the land is reused to sow a summer-brassica crop (generally turnip or kale) for grazing in mid-to late summer. This is to support milk production when perennial ryegrass pasture is yielding no more than 5 kg to 10 kg DM/ha per day (4,26) (Table 3). …”

Section: Types Of Complementary Forage Systems Availablementioning

confidence: 99%

“…Similarly, a study conducted by Alford et al (8) showed that feeding systems based on home-grown forages can achieve around 8%-12% return on total assets while the systems based on only pasture and concentrates generate around 6% return on assets (9). Some of the alternative feeding systems to achieve increased return on assets are oversowing pastures with annual ryegrass, summer shoulder pastures (based on tall fescue), and double-cropping systems comprising a winter crop followed by a summer crop (26).…”

Section: Increased Profitability Through Increased Use Of Home-grown mentioning

confidence: 99%

“…The utilization of these surpluses depends on the requirements and performance of the dairy business (stocking rate, milk production level, feed supply, cost of production, and knowledge of the farmer), and these may be carried forward to the next lactation for feeding, or sold (7,26). There may be an extra cost associated with conserving surplus feeds due to storage and wastage (27) since the pasture not utilized deteriorates and decays, resulting in wastage (12).…”

Section: Principles Of Energy Balancementioning

confidence: 99%

See 2 more Smart Citations

Implementing innovative farm management practices on dairy farms:a review of feeding systems

Özkan¹,

Hill²

2015

Turk J Vet Anim Sci

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The Australian dairy industry relies primarily on pasture for its feed supply. However, the variability in rainfall negatively affects plant growth, leading to uncertainty in dryland feed supply, especially during periods of high milk price. New feeding (complementary) systems combining perennial ryegrass with another crop and/or pasture species may have the potential to mitigate this seasonal risk and improve productivity and profitability by providing off-season feed. To date, the majority of research studying the integration of alternative crops into pasture-based systems has focused on substitution and utilization of alternative feed sources. There has been little emphasis on the impacts of integration of forage crops into pasture-based systems. This review focuses on pasture-based feeding systems in southeastern Australia and how transitioning of systems contributes to improved productivity leading to improved profitability for dairy farmers.

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Optimal management of on-farm resources in small-scale dairy systems of Central Mexico: model development and evaluation

Castelán-Ortega

Martínez‐García

Mould

et al. 2016

Trop Anim Health Prod

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This study evaluates the available on-farm resources of five case studies typified as small-scale dairy systems in central Mexico. A comprehensive mixed-integer linear programming model was developed and applied to two case studies. The optimal plan suggested the following: (1) instruction and utilization of maize silage, (2) alfalfa hay making that added US$140/ha/cut to the total net income, (3) allocation of land to cultivated pastures in a ratio of 27:41(cultivated pastures/maize crop) rather than at the current 14:69, and dairy cattle should graze 12 h/day, (4) to avoid grazing of communal pastures because this activity represented an opportunity cost of family labor that reduced the farm net income, and (5) that the highest farm net income was obtained when liquid milk and yogurt sales were included in the optimal plan. In the context of small-scale dairy systems of central Mexico, the optimal plan would need to be implemented gradually to enable farmers to develop required skills and to change management strategies from reliance on forage and purchased concentrate to pasture-based and conserved forage systems.

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Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance

Cited by 77 publications

References 22 publications

Modelling pastoral farm agro‐ecosystems: A review

Modelling pastoral farm agro‐ecosystems: A review

Implementing innovative farm management practices on dairy farms:a review of feeding systems

Optimal management of on-farm resources in small-scale dairy systems of Central Mexico: model development and evaluation

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