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Section 2 - Sugar Research and Development Corporation

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Better frost tolerant varieties for NSW –<br />

NSW Farming Systems Group<br />

Frost damage to sugarcane crops affects about<br />

one third of the NSW cane growing l<strong>and</strong>s reducing<br />

production by 10 – 30% <strong>and</strong> costing the industry<br />

up to $2.5 million in about one in three years.<br />

This project tested whether artifi cial freeze testing<br />

of cane seedlings could be used to identify cane<br />

varieties that would perform well under fi eld<br />

frosting conditions.<br />

Trials ascertained whether subjecting seedlings<br />

to cold room freezing would produce a similar<br />

level of damage to that in the fi eld <strong>and</strong> determine<br />

an appropriate testing regime of temperature<br />

<strong>and</strong> duration.<br />

There was some differentiation between varieties,<br />

however the degree of differentiation between<br />

the good, average <strong>and</strong> poor categories was very<br />

small <strong>and</strong> the majority of individual trials failed<br />

to show any statistical signifi cance. The trials have<br />

shown that it is diffi cult to clearly correlate ratings<br />

derived by artifi cial freeze testing of seedlings with<br />

known fi eld reaction of more mature cane plants.<br />

Further work may be able to refi ne the techniques<br />

but at this stage it’s not reliable enough to use in<br />

recommendations to farmers on frost tolerance<br />

(GGP041).<br />

The next step for Precision Agriculture –<br />

Homebush Innovative Grower Group<br />

The Homebush Innovative Farmers group, working<br />

with Queensl<strong>and</strong> Government farming systems<br />

agronomist, John Hughes, conducted a longterm<br />

replicated trial to identify agronomic issues<br />

infl uencing yield variability <strong>and</strong> the subsequent<br />

development of zonal management techniques<br />

for spatially defi ned soil groups.<br />

The aim was to determine the yield potential of<br />

cane on paddock geo-referenced soil groups with<br />

known characteristics <strong>and</strong> to identify ways to<br />

maximise productivity from those soils with the<br />

best mix of water <strong>and</strong> nutrient management <strong>and</strong><br />

Precision Agriculture (PA).<br />

The trial compared soil bulk density values,<br />

soil penetration resistance, water infi ltration<br />

<strong>and</strong> yield across defi ned soil groups in a<br />

conventionally grown, traffi c-free crop, <strong>and</strong><br />

bare soil environment.<br />

Particle size <strong>and</strong> chemical analysis results<br />

confi rmed the ability of electrical conductivity<br />

(EC) soil mapping to spatially differentiate<br />

zones of contrasting soil properties <strong>and</strong> groundtruthing<br />

validated the ability of EC soil mapping<br />

to accurately defi ne variability within-paddocks<br />

<strong>and</strong> across the farming enterprise. The study<br />

revealed the inadequacy of 1:100,000 coarse<br />

scale soil surveys to support PA where the farm<br />

is mapped as one soil unit.<br />

There was no signifi cant difference in yield <strong>and</strong><br />

stalk counts across the soil groups in the plant<br />

cane phase. Unfortunately cyclonic conditions<br />

severely impacted on the integrity of the yield<br />

data in the ratoon phase.<br />

However, subsequent ground-truthing of yield<br />

patterns from processed satellite imagery<br />

provided invaluable information that clearly<br />

demonstrated the relationships <strong>and</strong> interaction<br />

between soil properties, elevation/ topography<br />

<strong>and</strong> within-paddock yield variability. A number<br />

of possible PA management practices emerged<br />

from this component of the project that will<br />

provide a potential pathway to manage withinpaddock<br />

yield variability <strong>and</strong> the geographic<br />

information system layers that will underpin<br />

PA in the future (GGP052).<br />

SRDC Annual Report 2010–2011 61

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