Jackie Ouzman
Commonwealth Scientific and Industrial Research Organisation
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Publication
Featured researches published by Jackie Ouzman.
Weed Technology | 2017
Michael Walsh; Jackie Ouzman; Peter Newman; Stephen B. Powles; Rick Llewellyn
HWSC systems that target weed seed production during harvest have been in use in Australian crop production systems for over 30 years. Until recently, though, grower adoption of these systems has been relatively low. It is now apparent with the introduction of a range of new weed seed targeting systems that there is renewed grower interest in the use of this approach to weed control. With the aim of determining the current adoption and use of HWSC systems, 600 crop producers from throughout Australias cropping regions were interviewed on their adoption and use of these systems. This survey established that 43% of Australian growers are now routinely using HWSC to target weed seed production during grain harvest. The adoption of narrow-windrow burning (30%) was considerably greater than the other currently available techniques of chaff tramlining (7%), chaff carts (3%), bale-direct system (3%), and the Harrington Seed Destructor (HSD) (<1%). When growers were asked about their future use of these systems 82% indicated that they would be using some form of HWSC within five years. Grower preferences for future HWSC use were primarily for either narrow-windrow burning (42%) or the HSD (29%). This very high level of current and potential HWSC adoption signifies that HWSC is now considered an established weed control practice by Australian growers.
Precision Agriculture | 2018
R. G. V. Bramley; Jackie Ouzman; David Gobbett
Nitrogen (N) fertilizer management in the Australian sugar industry is guided by the ‘SIX EASY STEPS’ (6ES) advisory program, for which the potential yield and amount of N that is potentially mineralizable from the soil are key input parameters; the latter is estimated from soil carbon (C) content. Whilst 6ES is not prescriptive about the scale at which it is used to deliver advice to sugarcane growers, common practice is to use the ‘district yield potential’ (DYP) to guide N fertilizer recommendations at the farm and block scales. Analysis of yield variation at the block scale, using sugar mill records over 7 seasons (2009–2015) from the Herbert River district, showed yield to be markedly spatially variable, with the patterns of this variation stable across seasons and crop class. Accordingly, DYP is sub-optimal as an input to 6ES. A block yield potential (BYP), derived from a map of the estimated maximum block-scale yield of first ratoon cane achieved over the 7 seasons, is suggested as a better alternative which can be readily updated as more data become available. Further refinement of the application of 6ES is possible with access to soil C data, derived from either regional soil survey or local soil testing. The present study suggests that use of BYP rather than DYP could lead to a total annual reduction in N applied of approximately 1700 t N over the Herbert River district without negatively impacting yield. Whilst the value of this to growers (A
Precision Agriculture | 2018
R. G. V. Bramley; Jackie Ouzman
23/ha) is a minimal proportion of the costs of production, a reduction in the risk of N loss to receiving waters of this magnitude could be of significant benefit to the protection of the Great Barrier Reef. Since data similar to those used here are collected by all sugar mills, similar analyses could be conducted in other sugarcane growing areas. The approach may also be of value in other cropping systems which use central points of delivery (e.g., grain silos).
Agricultural Systems | 2015
Marta Monjardino; Therese M. McBeath; Jackie Ouzman; Rick Llewellyn; B. Jones
A survey of Australian grain growers was conducted to gauge grower attitudes to crop and soil sensing and their role in nitrogen fertilizer management. The technologies considered were yield monitors, remote and proximal crop sensing, high resolution soil survey, soil moisture sensing and digital elevation models (DEM). Whereas Australian grain growers have readily adopted machine guidance and autosteer, and a majority have access to yield monitoring, the rate of use of many crop and soil sensors remains comparatively low. However, the survey results suggest a positive effect on sensor adoption through present use of yield mapping. Access to yield maps was significantly associated with the use of remotely sensed imagery, high resolution soil survey, soil moisture sensing, DEM and variable rate application of fertilizers and/or soil amendments. There is some support for proximal crop sensing, albeit with low present rates of use; the use of soil water sensors and DEM is presently very low. For the further development of precision agriculture (PA), the results make clear that expending effort in enhancing the adoption and use of yield maps would be valuable as a lever to gain ‘buy-in’ from growers to sensing and PA more broadly. Since growers use many sources of information to support fertilizer decision-making, any new fertilizer decision aid needs to establish a point of difference from, but be complementary to, existing tools. One way of achieving this would be to use sensors, supported by locally derived algorithms, as a key input to fertilizer decision support.
Agricultural Systems | 2017
Geoff Kuehne; Rick Llewellyn; David J. Pannell; Roger Wilkinson; Perry Dolling; Jackie Ouzman; Mike Ewing
Agriculture, Ecosystems & Environment | 2016
Nadine Marshall; Steve Crimp; Matt Curnock; Murni Greenhill; Geoff Kuehne; Zoe Leviston; Jackie Ouzman
Field Crops Research | 2018
Randall J. Donohue; Roger Lawes; G. Mata; David Gobbett; Jackie Ouzman
Archive | 2017
Rob Bramley; Lawrence Di Bella; Jackie Ouzman; David Gobbett; M. Sefton; Rod Nielson
Advances in Animal Biosciences | 2017
Rob Bramley; Jackie Ouzman; David Gobbett
Archive | 2016
Peter Brown; Uday Bhaskar Nidumolu; Geoff Kuehne; Rick Llewellyn; Olive Mungai; Brendan Brown; Jackie Ouzman
Collaboration
Dive into the Jackie Ouzman's collaboration.
Commonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputs