• Sites in the Riverina, Cootamundra, Cowra and Grenfell developed high levels of Sclerotinia-infested petals during the flowering period in 2015.
• No correlation was found between individual districts and petal infestation levels.
• The amount of rainfall during flowering was positively correlated to the level of inoculum.
• Rainfall during flowering is not the only factor that determines the level of petal infestation. Other factors such as initial inoculum level (from sclerotia), crop height, crop-canopy density and paddock history play a significant role.

• Average grain yields are maximised by sowing midNovember to early December in southern NSW.
• In northern Victoria, sowing should begin earlier from 1 November until late November.

• Sowing time for the wheat varieties was found to be the key determinant of yield potential. Delays in sowing date (SD) resulted in yield losses of 34% or 1.20 t/ha for EGA GregoryA averaged across years.
• Variety selection was also found to be a significant factor influencing yield potential, with the longer season variety SunvaleA being 16% or 0.6 t/ha lower yielding than LRPB CrusaderA from an early SD. The shorter season variety LRPB CrusaderA performed well across SD options in this environment.
• Increasing targeted plant populations was shown to increase yield potential by ~8% (0.2 t/ha) when SD was delayed, supporting the accepted principle of increasing the target plant population for delayed sowings.
• However, altering variety and/or maturity type, and increasing target plant populations in response to delayed SDs could not fully compensate for yield losses associated with delayed sowings.
• Yield responses to nitrogen (N) and phosphorus (P) fertiliser application rates were variable and influenced by starting soil levels and seasonal conditions. Significant yield responses of around 19% were achieved in response to P application, highlighting the importance of knowing starting soil nutrition values when trying to optimise yield potential.

• Sowing wheat varieties in the early part of their optimum sowing window was found to be a key determinant of yield. Delays in sowing date (SD) averaged across sites resulted in yield losses of 13% for EGA GregoryA and ranged from 8% to 28%.
• Commercially available mid–late maturing spring wheat varieties (e.g. EGA GregoryA) were observed to be broadly adapted and plastic in their yield responses, performing consistently across sowing windows.
• Altering variety and/or maturity type, and increasing target plant populations in response to delays in SD could not fully compensate for the yield losses associated with delayed sowings.
• Yield responses to nitrogen (N) and phosphorus (P) fertiliser application rates, were variable and influenced by the starting soil nutrition and seasonal conditions.
• Crown rot (CR) was shown to be a significant factor influencing yield potential in inoculated vs. uninoculated experiments – the delayed SD decreased yields by 12%. Results highlight the compounding negative impact of delayed sowing and CR infection on yield potential and underline the need for awareness of risk levels from soil-borne pathogens before sowing in order to guide management decisions.

• Although plant available water (PAW) at sowing was ~47 mm (0–120 cm), timely in-crop rainfall of 257 mm improved yield potential.
• If yield and subsequently fertiliser decisions were made on PAW at sowing and a low input approach to nitrogen (N) application was taken, as per the nil treatment in this experiment (42 kg/ha of Granulock Z), 0.9 t/ha or 20% of yield potential would have been lost, compared with the optimum N response rate (120 kg N/ha).
• Significantly, even at modest levels of N application (e.g. 40–80 kg N/ha), grain yield was increased by 0.56 t/ha or 13% over the nil N treatment.
• Although maximum yield was achieved at 11.1% grain protein content (GPC), the rate of grain yield increase per unit of additional N declined at GPC >10%. Importantly, results from this experiment did show that yield was compromised by N deficiency when GPC was <9%.
• Results from this experiment highlight the need to consider yield potential in terms of targeted yields and hence N requirements. Importantly, if N inputs are limited then yield potential can be negatively affected.
   

Albus lupin
• There were no significant differences between varieties for grain yield and no trends between flowering and grain yield. The site mean for grain yield (2.7 t/ha) was above average.
• Murringo was the earliest flowering variety and had the longest flowering duration.
• Rosetta was the last variety to flower and had the highest hundred seed weight.

Faba bean
• PBA Nasma, PBA Nanu and PBA Marne were the highest yielding varieties.
  PBA Amberley, PBA Samira and PBA Bendoc yielded the lowest.
• There was a strong correlation between varieties that flowered early and had a shorter flowering duration, and higher yields.
• PBA Nanu and PBA Nasma were the earliest to flower however, they had the shortest flowering duration. PBA Amberley and PBA    Samira were last to begin flowering but flowered for up to 10 days longer.
• PBA Samira had the highest hundred seed weight whilst PBA Bendoc had the lowest.

Narrow-leaf lupin
• PBA Bateman was the highest yielding variety and had the highest hundred seed weight.
• There was a moderately strong trend that indicated yields were higher in varieties that flowered earlier. There was a moderately strong correlation between high hundred seed weight and grain yield.
• PBA Jindalee was the latest to flower and had the shortest flowering duration, which resulted in the lowest yield and the lowest hundred seed weight.
• PBA Jurien flowered the earliest and had the longest flowering duration (8 days longer than PBA Jindalee).

Chickpea
• PBA Slasher and PBA Striker yielded the highest, compared with PBA Royal,
  Genesis™090, PBA Boundary and CBA Captain, which yielded the lowest.
• Genesis™090 and PBA Royal (kabulis) flowered 5–6 days after desi varieties. Flowering duration was not significantly different between the varieties and there were no trends between flowering and grain yield.
• The kabuli varieties had a significantly higher hundred seed weight, compared with the desi varieties.

Field pea
• There was a moderately strong trend that indicated yields were higher in varieties that began flowering later and had a shorter       flowering duration.
• PBA Percy was the earliest flowering variety, followed by Sturt. PBA Butler was the last to begin flowering.
• PBA Butler, PBA Pearl, PBA Taylor and PBA Wharton were the highest yielding
  varieties. PBA Percy and Sturt were the lowest yielding varieties.
• PBA Percy had the highest hundred seed weight and Sturt had the lowest hundred seed weight.

Lentil
• The highest yielding varieties were PBA Kelpie XTA, PBA Jumbo2A, PBA Greenfield and PBA Ace. Nipper was the lowest yielding variety. There were no trends between flowering and grain yield.
• PBA Blitz and PBA Kelpie XTA were the earliest flowering varieties. However, varieties such as PBA AceA, PBA Highland XTA and PBA Hurricane XTA flowered for a similar duration as PBA Blitz (53 to 54 days) despite flowering 3–6 days after PBA BlitzA.
• PBA Kelpie XTA matured earliest and PBA AceA, PBA Jumbo2 and PBA Hurricane XTA matured last.

Faba bean
• PBA Amberley was the highest yielding variety, while PBA Samira, PBA Nanu, PBA Marne, PBA Bendoc and Nasma had similar  grain yields.
• PBA Marne and PBA Nasma had the highest hundred seed weight.
• PBA Nanu and PBA Nasma were the earliest to flower and continued to flower for over 50 days. PBA Amberley and PBA     Samira were last to begin flowering and had two of the three shortest flowering durations.
 

Albus lupin
• The early flowering Murringo was the highest yielding variety, while Luxor and Rosetta yielded similarly.
• Murringo was the earliest flowering, followed by Luxor then Rosetta.
• Rosetta had the highest hundred seed weight, while Luxor had the lowest.

Vetch
• Timok and Volga were the highest yielding varieties. Studenica and Morava yielded the lowest and were not significantly different from each other.
• There were no significant differences in peak dry matter between varieties.
• Studenica was first to flower and had the longest flowering duration. Morava flowered last.
• Studenica was the earliest to mature, followed by Volga, and Timok. Morava matured significantly later.

Lentil
• The highest yielding variety was PBA Ace. There was some loss of pod/seed due to weather conditions before harvest, but this did not influence grain yield values.
• PBA Blitz and PBA Kelpie XT were the earliest flowering varieties and had the longest flowering duration. Nipper and PBA Flash flowered last.
• PBA Kelpie XT and PBA Hallmark XT matured earliest, while Nipper, PBA Ace and PBA Jumbo2 matured significantly later.

Chickpea
• Average chickpea grain yield was significantly lower than all other pulse species at this site. This is attributed to the cooler than average mean daily temperatures affecting pod set during the critical reproductive window.
• While all varieties yielded above average for this environment, PBA Slasher was the best performing variety with a grain yield of 2.8 t/ha.

Lupin
• RosettaA was the highest yielding variety with 3.39 t/ha, with a later start and finish date to flowering as well as a longer flowering duration, than either Luxor or Murringo.
• Luxor and Murringo were similar for grain yield, days to flowering and flowering duration in 2021.
Lentil
• PBA Jumbo2 was the highest yielding variety in 2021 with 2.46 t/ha, more than 0.5 t/ha higher than all other varieties.
• PBA Bolt and PBA Kelpie XT were first to flower, with all varieties flowering within 6 days of each other.
Chickpea
• PBA Slasher was the highest yielding variety with 2.93 t/ha, with CBA Captain and PBA Boundary having similar yields.
• There was 5 days difference between the varieties in time to the start of flowering.
Field pea
• Grain yield was similar for all the field pea varieties at Wagga Wagga in 2021.
• Early flowering was seen in PBA Percy and Sturt at 101 to 103 days after sowing, and late flowering in PBA Butler at 130 days after sowing.
• Flowering duration ranged from 30 to 49 days across all varieties. PBA Butler had a very short flowering duration of 30 days while PBA Percy and Sturt flowered for over 48 days.
Vetch
• Timok grain yield was 2.14 t/ha, similar to Volga at 1.85 t/ha yet higher than the other varieties.
• Sixteen days separated the earliest flowering variety from the latest. Early flowering Studenica flowered 111 days after sowing, 16 days earlier than Morava.
• Flowering duration ranged from 30 to 43 days, for Timok and Studenica, respectively.
Faba bean
• Cairo was the highest yielding variety with 5.7 t/ha, with PBA Marne, PBA Nanu and PBA Nasma having similar yields.
• There was 12 days difference between the first variety to flower, Doza at 96.7 days after sowing, and the last variety to flower, Nura at 109 days after sowing.

• Deep ripping had an adverse effect on crop establishment and crop yield in the establishment year.

• Both lime and magnesium silicate (a blended product of 70% Doonba dunite and 30% F70 lime) were capable of increasing soil pH and decreasing exchangeable aluminium (Al) at the 20–30 cm depth where the soil amendment was applied.

• Deep placement of gypsum had no effect on soil acidity and did not improve grain yield.
 

• Nitrogen fertilisers significantly contribute to on-farm emissions.
• Emissions vary depending on fertiliser type, yields, previous crop and region.
   

• Natural enemies (predators and parasitoids) found within the crop were diverse, but had variable distribution.

• The abundance of natural enemies increased with time, which was probably related to an increase in pest pressure as well as temperature.

• Growers might be able to use more targeted sprays to control pests.

• Seed treatments appeared to have no long-term effects on natural enemy abundance.
 

• In the wet winter of 2016, a single irrigation of a barley crop increased grain yield and grain quality but resulted in reduced water productivity.
• The 50 kg/ha seeding rate improved grain quality and reduced lodging compared with the 80 kg/ha seeding rate with no negative impact on grain yield.
• The waterlogged treatment (ponded for 48 hours) used an additional 0.41 ML/ha or 55% more water in one irrigation than the treatment that was ponded for only five hours.

• Water use can be estimated easily with the (IrriSAT 2017) app.
• First flower, cut out and defoliation can be predicted.
• Cotton water productivity could be up to six bales per hectare below its potential.

• Acidic soil layers below 5 cm adversely affect root growth and architecture, nodulation, plant vigour, N2
fixation and yield potential of acid-sensitive pulses.
• Moderately (pHCa 4.6–5.0) and severely (pHCa <4.5) acidic layers in the 5–20 cm soil profile are not detected using soil samples collected over standard profile depths of 0–10 cm and 10–20 cm.
• Finer sampling at 5 cm intervals is recommended to detect pH stratification.
• The current standard industry practice of spreading lime with no incorporation and sowing with knife point press wheels or disc seeders confines the lime effect to the surface layers.
• Careful paddock selection and forward planning is required to correct pH stratification in the topsoil (0–10 cm).
• Lime application and incorporation with a full cultivation operation at least 6–12 months before sowing acid-sensitive species could be necessary.
• Appropriate lime rates should be used to ensure pHCa >5.5 in the entire top 10 cm layer.
• The effect of pH stratification on more acid-tolerant species, including canola, lucerne and cereals, should also be monitored.

• Although high below-ground carbon input by plants is important to enhance soil organic matter, only a few studies have quantified carbon allocation dynamics in crop-soil systems in dryland regions under contrasting management practices.
• There seems to be environmental constraints and features of dryland farming systems (such as high aridity and low rainfall, low soil carbon and low moisture) that limit the extent of below-ground carbon allocation as found in this study. It is thus challenging to enhance soil organic matter stocks in the dryland regions through conservation tillage only.
• The majority of newly assimilated carbon remained in aboveground plant material, particularly in the wheat-soil system at Condobolin, which is a relatively drier climate than Wagga Wagga.
• A larger proportion of newly assimilated carbon was translocated to below-ground carbon pools in the canola-soil system at Wagga Wagga (7%−11%) than in the wheat-soil system at Condobolin (2%).
• Tillage practices had no effect on the allocation and storage of newly assimilated carbon in the crop-soil systems. Moreover, the management practices had no significant effect on grain yield, soil carbon stocks or bulk density.
• These results suggest that reduced tillage or no-till can maintain equivalent soil functionality relative to conventional tillage while reducing operational costs associated with energy and machinery inputs.

• Favourable climatic conditions in 2021 resulted in the increased prevalence of a range of cereal diseases across NSW, especially the wheat leaf diseases stripe rust, septoria tritici blotch (STB) and yellow leaf spot (YLS).
• In combination with increased cereal stubble loads produced in 2021, pathogen levels are likely to be elevated again in 2022.
• Predicted La Niña conditions over summer will maintain or increase the risk of stripe rust in 2022.
• Multiple stripe rust pathotypes were prevalent across NSW in 2021. Keep up to date with the latest varietal resistance ratings.
• Minimise disease impacts in 2022 by using an integrated approach to management.
• NSW DPI plant pathologists can assist with correct diagnosis and advice on appropriate management options.

• Mild temperatures, combined with unlimited soil moisture through the season provided optimal conditions for crop growth and development, resulting in very high grain yields in 2021.
• There were significant differences in grain yield responses across sowing dates, with many newly released wheat and barley genotypes achieving higher grain yields compared with current industry benchmarks.
• The barley genotypes flowering window was 15 days earlier compared with the wheat genotypes; barley had higher yields than wheat at comparable flowering dates.
• Rain, combined with cool temperatures during the grain filling stages, had a significant effect on grain quality. There were significant genotype × sowing date interactions, with earlier sowing treatments recording lower falling numbers compared with the late
May sowing.

• There was diversity in phenology between varieties.
• Early sowing extended the crop vegetative period, but increased exposure to frost damage during the flowering phase.
• Desi varieties PBA Striker, PBA Slasher, PBA Boundary and CICA1521 were the highest yielding varieties at both sites.
• Dry conditions severely limited chickpea grain yield in 2019, but favoured early maturing varieties, particularly with mid May sowing.

Key findings:

• In a wet season, substantial yield losses (94%) from Phytophthora root rot (PRR) occurred in susceptible chickpea varieties such as PBA BoundaryA.
• Varieties with improved resistance to PRR (PBA HatTrickA and YorkerA) can also have large yield losses (68–79%) in a season highly conducive to PRR.
• Although yield losses will occur in seasons highly conducive to PRR, crosses between chickpea and wild Cicer species, such as the PBA breeding line CICA1328, currently offer the best levels of PRR resistance.

Summary

Under conditions that are highly conducive to PRR, substantial (94%) yield losses occur in susceptible varieties such as PBA Boundary.  However, significant losses (68-79%) can also occur in varieties with improved resistance to PRR (PBA HatTrick and Yorker).  Crosses between chickpea and wild Cicer species such as the PBA breeding line CICA1328 offer the best resistance to PRR.

• Environmental and management conditions such as water availability and sowing date (SD) significantly affected phenological development, grain yield, disease levels and biomass accumulation. 
• The highest yields at both Wagga Wagga and Leeton were associated with mid to late sowing (SD2 and SD3), and early sowing (SD1) at Condobolin.
• The highest yields at both Wagga Wagga and Leeton were associated with the dryland treatment; there was a significant yield penalty associated with irrigation due to increased disease incidence (Wagga Wagga) and lodging (Leeton).

• Double knock applications of group H containing herbicides followed by paraquat seven days later appear to be very effective in controlling early flowering common sowthistle.
• Paraquat and Velocity were also very effective as standalone treatments in controlling early flowering common sowthistle.

• Double knock applications of some group H containing herbicides followed by paraquat seven days later appear to be a viable alternative to double knocking with Tordon 75D followed by paraquat for the control of early flowering flaxleaf fleabane.
• The most effective group H containing herbicides in combination with paraquat as double knock treatments were Precept, Balance and Velocity in order of effectiveness of their control of early flowering flaxleaf fleabane.

• All of the double knock treatments were very effective in controlling mid-late tillering awnless barnyard grass (BYG).
• Herbicides, apart from haloxyfop or glyphosate, have the potential to be used as the first spray in double knock treatments to control mid-late tillering awnless BYG.
   

• Balance and haloxyfop, followed by a double knock application of paraquat seven days later produced excellent control of mid-late tillering feathertop Rhodes (FTR) grass.
• Atrazine and paraquat, followed by paraquat, was slightly less effective than the Balance and haloxyfop double knock treatments.
   

• All of the herbicides examined appear to work well when tank mixed with paraquat to control early flowering common sowthistle.
• However, paraquat alone also provided excellent control of early flowering common sowthistle which questions the value of tank mixes with other herbicides.

• Tank mixing group H and H/I herbicides with paraquat (Group L) for the control of early flowering fleabane generally only provided moderate efficacy in this experiment.
• Tordon 75-D (Group I) mixed with paraquat and Velocity (Group H/C) mixed with paraquat, however, provided reasonable control at 89% and 81%, respectively.
   

• Tank mixing systemic herbicides and paraquat appears to be an effective tactic to control mid to late tillering awnless barnyard grass (BYG).
• Tank mixes could be a viable alternative to double knocking for BYG control, although further investigation is needed.

• Tank mixing systemic herbicides and paraquat for mid-late tillering feathertop Rhodes (FTR) grass control resulted in one potentially useful treatment (paraquat + haloxyfop).
• Haloxyfop tank mixed with paraquat, provided excellent control at 35 days after treatment (DAT), which was the only treatment to reach 100% efficacy.
   

• Some early flowering varieties developed significantly higher levels of sclerotinia stem rot infection.
• Variety response to infection and yield could be relative to other factors such as infection timing and plant
biomass.

• Sunflower yields were very low at this site in 2015–16, averaging 0.24 t/ha, and overall variability was very high.
• The total removal of leaves at the budding stage had the largest impact on plant structures; plant height, head diameter and arc length.

• Sunflower grain yield averaged 1.07 t/ha at this site with the highest yields obtained from the control and the treatments where only the bottom one third (1/3) of leaves were removed.
• The total leaf removal treatments had the largest effect on yield, at worst yielding only 0.16 t/ha.
• Removing all leaves at budding or at the start of the flowering growth stages had the largest effect on plant structures.
• Total leaf removal at the end of flowering had the largest effect on 1000 grain weight and test weight.

• Sunflower yields were greatly affected by the various defoliation treatments, ranging from 0.12 t/ha to 0.97 t/ha.
• Reductions in yield, of between 55% and 82% compared with the control resulted from total leaf removal at all three of the targeted growth stages (budding, start of flowering and flowering completion) as well as removing two-thirds of the leaves at budding.
• There was no negative effect on grain yield from removing the bottom third of leaves at budding or the start of flowering. Removing the bottom third of leaves at the start of flowering actually provided a slight yield advantage over the control treatment. The largest effect on plant height, head diameter and head arc length were caused by removing all leaves at the budding stage.

• Powdery mildew infection was observed during the 2015–16 season, although less severe than in previous seasons.
• Powdery mildew infection was found on all soybean varieties except Djakal, demonstrating its known resistance.
• Fungicide applications had no effect on the grain yield of Djakal, N005A-80 or P176-2 varieties, however, the SnowyA variety had a significant increase in grain yield when treated with tebuconazole in a split application regime.

• Preliminary projections for NSW suggest a warmer future climate that would be more suited to growing irrigated cotton if water was not limiting.
• More irrigation water will be needed to realise the potential of the future climate.

• Cover cropping did not improve cotton yields in this experiment.
• High stubble loads from spraying out the cover crop after the cereals reached growth stage Z39 negatively affected established cotton plant numbers and consequently lint yield.
• Cover crops terminated at growth stage Z39 had no yield penalty, but stored more soil water than the fallow treatment.

• Ornithopus sativus (French serradella) was capable of yielding as much as Trifolium subterraneum (subterranean clover) with 30% less phosphorus (P).
• Ornithopus compressus (yellow serradella) required 30% less P than T. subterraneum to produce the maximum yield, however its maximum yield was often lower than that of T. subterraneum

• Decreasing row spacing and increasing plant density improved chickpea and faba bean competitive abilities.

• The improved competitive abilities improved yields and reduced sowthistle biomass and seed production, which will improve weed control in subsequent crops.
 

• The single cropping phase of cotton achieved the highest returns for both $/ha and $/ML.
• The double cropping treatment of canola and maize achieved the highest returns for $/ha.
• All double cropping treatments achieved similar returns for $/ML.

• Yield losses of up to 20% due to crown rot were observed in 2015.
• Losses ranged from 2%–11% in bread wheat and 1.5%–3% for barley.
• Crown rot has a significant effect on gross margins when comparing grain quality and yields between crown rot treated and untreated plots.
• Select the highest yielding varieties rather than those with enhanced crown rot tolerance to minimise losses.
• Reduce the risk of crown rot infection by using crop rotation as well as stubble management.

• Yield loss response curves are an additional tool to help growers in varietal selection decisions to maximise returns where disease is present.
• Variations occurred in the yield response of varieties to crown rot, along with their resistance to this disease.
• The variety Suntop, although displaying crown rot symptoms similar to that of a susceptible variety, demonstrated a greater ability to maintain yield where disease was present than other varieties that are considered tolerant.
• The selection of varieties based purely on current resistance categories may be overlooking genetics with improved tolerance, such as the variety Suntop.
   

Key findings:

• Nitrogen (N) decision making requires a good understanding of background soil and plant science, and soil test interpretation.
• Training for new agronomists needs to be a priority issue.
• Senior NSW agronomists identified crop yield expectation as guided by soil moisture at sowing (or at the time of N decision making) as the most important determinant of N fertiliser requirement.
• Further research is needed to increase the understanding of how management practices affect potentially large gaseous N losses. 
• Changing from legume pasture-crop sequences to continuous cropping in many central and southern areas of New South Wales is posing new questions for managing N supply. The absence of N-fixation by pasture legumes is seen as a substantial loss of N-buffering capacity.
• Despite most advisers choosing soil testing as a key approach for determining N fertiliser required, many of their clients had a lower confidence in soil testing, citing ‘high perceived variability in soil nitrate results in the lead up to sowing’.
• Conclusions and Recommendations Senior advisers highlighted the importance of quality training in N decision-making, understanding the background soil and plant science involved, and soil test interpretation for the next generation of agronomists, with training courses including representation from highly experienced local agronomists.
• The understanding of gaseous N losses requires further research, development and extension to the grains industry. Recent field research in the north was limited in scope and produced challenging outcomes that can potentially lead to large practice changes in when and how N fertiliser is applied. Further research and development work is warranted to answer more of the practical questions growers and advisers are asking in regards to losses associated with various alternative practices.

• The northern results on N loss pathways are less relevant to advisers in the central and southern regions where N application timing, soil type and climatic differences are generally quite different from the dominant medium-heavy clays of the north. New N loss research is recommended for the lighter textured soils in regards to the potential for N volatilization losses from surface N application of various products. Economic outcomes from the various strategies being practiced are also needed. Nitrogen loss research should focus less on expensive slow-release products and more on optimising results from urea, the cheapest N source.

• Research into better soil water measurement was seen as a priority area, especially given the importance all advisers place on knowing this when making expensive N-fertiliser decisions for a coming cropping season. Zonal management within paddocks is not possible with single site characterisations, so atypical areas of paddocks are over or under-fertilised.

• The very early application of N fertiliser ahead of a winter cropping season is well established, but what is not known is how well the subsoil N may be protected or at risk from denitrification in flooding events. Also, better knowledge on specific N use within the profile during the cropping season will help growers to know when late-applied N is likely to be inaccessible to crop use.

• Nitrogen mineralisation was highlighted by agronomists from all three regions as an area for greater understanding with regards to the differences caused by climatic conditions, especially rainfall. They also require better understanding of the N produced from both native organic matter and recent legume pasture residues.

• There are a number of good decision support tools available currently, with several advisers suggesting that combining the best points of each into one package, even one available as an app, would be highly useful, particularly one with good grower-friendly reports.

• Many farmers have low confidence in soil testing.  This may be related to a range of factors from poor sampling strategies, to poor sample handling, to poor service from laboratory analysts, to insufficient sample numbers or poor interpretation of the results. It is seen as an expensive option for many, with some advisers looking for quicker and cheaper means of estimating soil mineral N.

• Variety-specific N management packages were seen by some senior advisers as key areas for continued research funding, as results from some new varieties have been quite different in terms of N uptake and protein outcomes.

• Making nitrogen (N) management decisions requires an understanding of soil and plant science, and soil test interpretation.
• Training new agronomists is a priority.
• Senior NSW agronomists identified crop yield expectation as guided by soil moisture at sowing (or at the time of N decision making) as the most important determinant of N fertiliser requirement.
• Further research will increase the understanding of how management practices affect potentially large gaseous N losses.
• Changing from legume pasture-crop sequences to continuous cropping in many central and southern areas of New South Wales is posing new questions for managing N supply. Less frequent pasture legume phases with their N-fixation benefits to the soil is seen as a substantial loss of N-buffering capacity.
• Despite most advisers choosing soil testing as a key approach for determining N fertiliser required, many of their clients had a lower confidence in soil testing, citing ‘high perceived variability in soil nitrate results in the lead up to sowing’.

• Deep phosphorus (P) placement at a depth of 20 cm resulted in root proliferation in desi chickpeas at Terry Hie Hie.
• Deep P applied in the plant line produced more vegetative biomass compared with deep P placed between alternate plant lines (66 cm spacing) four weeks after sowing.

 

• Relationships between remote sensing data and hand harvest data were identified for some varieties and sowing dates, suggesting remotely sensed data might be useful for determining canola maturity.
• Both variety and sowing date alter the relationship between remotely sensed data and hand harvested data.

• All crops go through stages of development known as critical growth periods (CGP) where stress can reduce yield potential more than at any other time.

• Shading can be used to induce defined periods of stress on a crop to identify CGP.

• The critical growth period for canola was identified as approximately 100–400 degree days (°C.days) after the start of flowering (defined as 50% plants with one open flower).

• There was minimal effect of pre- and post-flowering stress on grain yield.

• Phytophthora medicaginis (Pm) inoculum concentrations decline to low levels (within 6−12 months) of a diseased crop and the distribution becomes more uneven.
• Within 6−12 months, survival populations of Pm (oospores) can be below detectable levels based on both soil DNA and isolate baiting methods.
• These inoculum decline factors limit the ability of PreDicta B to identify paddocks that have a significant disease risk.
• The Pm test is useful for in-crop disease diagnosis when the pathogen is active and inoculum decline has not taken place.
   

• Changing the pre-plant N fertiliser from the non-irrigated side of the plant bed to the irrigated side of the plant bed did not affect soil mineral nitrogen (N), plant growth or cotton lint yield.
• The pattern of nitrous oxide (N2O) emissions after the first irrigation event differed according to N fertiliser placement treatment, but the total amount of N2O released was the same.
• Pre-plant N fertiliser placement did affect N2O emitted after the second irrigation (with water-run N), with more lost from the irrigated, non-fertilised side of the hill.
• The cumulative N2O losses summed over all the measurement events showed no treatment differences resulting from pre-plant N fertiliser location, indicating that there is no agronomic or environmental benefit to changing N fertiliser location.
   

• Changing the pre-plant nitrogen (N) fertiliser location from beside the non-irrigated furrow to beside the irrigated furrow increased nitrous oxide (N2O) emissions, primarily from the fertiliser band location.
• Irrigating every single furrow instead of every second furrow did not significantly change N2O emissions.
• Altering irrigation furrows in relation to pre-plant N fertiliser did not significantly affect mineral N in the surface soil, nor did it affect any measure of crop production.
• These results do not support changing from the current irrigation and N fertiliser placement system in use.
   

• Nitrous oxide (N2O) emissions at the Gunnedah site were approximately three times higher than at the Emerald site, probably because of the heavier clay soil at Gunnedah.
• High and highly variable N2O emissions occurred at both sites during the week following the first irrigation event after the pre-planting nitrogen (N) application. There was no significant effect from the amount of N applied at pre-planting on these first emissions, nor overall at Gunnedah. At Emerald, overall N2O losses were greater from the split N treatment.
• N2O emissions were low–negligible following the subsequent 4–5 irrigation events, except where N was water-run, which caused small and temporary increases in N2O.
• The greatest N2O emission came from the soil above the pre-plant N fertiliser bands. More was emitted from the non-irrigated side of the plant bed, even when both sides of the bed had been fertilised (Emerald).
• Cotton lint yield was not affected by N timing treatment, however, plant biomass was smaller and more N-concentrated from the split N treatment at Gunnedah.
• The 2015–16 weather conditions did not favour either N-timing treatment agronomically or environmentally, but different rainfall patterns in other years may be more influential.
   

• Durum varieties (CaparoiA, DBA AuroraA, DBA LillaroiA and JandaroiA) displayed differential grain quality and yield responses to time of sowing (TOS) and nitrogen (N) management. Increased screenings (>5%) were the most common cause of quality downgrades.
• DBA AuroraA, due to increased risk of screenings (>5%) in part because of reduced grain size, would appear to offer less flexibility in terms of agronomic management, specifically delayed sowing and N management.
• The newly released Northern Durum breeding program variety DBA LillaroiA appears to offer excellent grain size and grain stability, achieving low screenings from a delayed sowing and high N rates.
• Results also highlight the need to sow varieties within recommended sowing windows. An earlier than recommended sowing date of May 19 for the Liverpool Plains resulted in yield losses of ~25% averaged across N treatments for earlier maturing varieties such as JandaroiA and DBA LillaroiA, with possible grain quality implications (e.g. increased screenings).

• Durum varieties displayed differential grain quality and yield responses to time of sowing (TOS) and nitrogen (N) management.
• DBA AuroraA appears to offer good yield potential, but exhibits an increased risk of screenings with increasing rates of N application at sowing or when N is applied before stem elongation (GS31). It also appears to have an increased potential for lower grain protein concentrations (GPC) due to yield dilution under high yielding situations.
• A strategy involving a split application of N at sowing and either GS31 or GS39, could reduce the potential for screening issues in DBA AuroraA while maintaining adequate GPC.
• Findings from this experiment further highlight the need to sow appropriate variety maturity types within their recommended sowing windows.
   

• New winter genotypes had different phenology responses compared with current commercial genotypes.

• Frost significantly affected phenology and grain yield responses in 2017.

• The highest grain yields were achieved through various sowing date × variety combinations.

• Best management practice is matching varietal phenology with sowing date, however, pre-flowering phases had a significant influence on grain yield responses.
 

• Despite the significant effect of seasonal conditions in 2019, grain yields of >5.5 t/ha were achieved, highlighting the opportunity for early sown winter wheats in grain-only systems. • Differences in phenology and yield responses across sowing dates suggest cultivar
performance can be manipulated by sowing time and can vary across environments. • New winter and long season spring types with consistent yield performance provide alternative early sowing options for growers in southern NSW.

• Under extreme disease pressure, Ascochyta blight can be successfully and economically managed on susceptible varieties such as KyabraA.
• However, Ascochyta blight management is easier and more cost effective on varieties with improved resistance such as PBA HatTrickA and PBA BoundaryA.
• The 2015 Ascochyta trial, confirmed the next variety planned for release (CICA0912) has an improved level of resistance to Ascochyta blight.
   

• Grain yield and quality was significantly reduced in all varieties when harvest was delayed. Oxford and La TrobeA suffered least yield penalty, while BassA, and FathomA had the greatest yield losses.

• Yield losses and quality downgrades ranged from $75–300/ha in lost revenue in 2016, despite overall low prices and distinction between malt and F1 grades.

• Blackleg infection of flowers, pods, branches and upper stems can be collectively termed as upper canopy infection (UCI).

• Early flowering of canola increases the risk of UCI.

• Fungicide can reduce disease levels and increase grain yield, but does not provide full disease control.

• Matching sowing date and varietal phenology so that flowering occurs in late winter will reduce UCI.

• Heat stress during the reproductive development phase significantly reduced grain yield, harvest index and oil percentage.
• Varieties respond differently to heat stress: Nuseed Diamond had the highest reduction in grain yield and oil percentage under heat stress, whereas ATR Stingray had the lowest reduction in grain yield.
• Under heat stress, seed formation is more severely affected than pod formation.
• Canola pods that appear healthy can produce less, or even no, seed, and therefore do not achieve yield potential under heat stress.

• A preliminary experiment in 2017 showed that extra heat can be applied to canola plots successfully using specially designed heat chambers.

• Heat stress of four days, applied seven days after flowering started, significantly reduced the grain yield of the flowers opening during that period.

• Four days of heat stress significantly reduced harvest index and thousand seed weight at the plot level, however, grain yield and biomass yield was not affected due to recovery during cooler nights.

• Further research is needed to extend the duration and intensity of heat stress to show differences, and for rigorous validation across different varieties.

• Rosalind (fast maturity) had the highest grain yield at all rates of applied nitrogen.
• Higher lodging at higher nitrogen rates reduced yield response to applied nitrogen in Compass, Commander and scope CL
• High spring rainfall and mild growng conditions resulted in high yields and full use of applied nitrogen

• La Trobe and Compass displayed the best combination of yield and quality traits for achieving malt specification.
• The environment, or experiment site, had a greater effect on yield than variety, nitrogen (N) rate or sowing rate. Low rainfall at Condobolin resulted in significantly lower yields than at Parkes.
• The sowing rate did not significantly affect yield above 150 plants/m2 at Condobolin or Parkes.
• Nitrogen (N) applications, in the absence of adequate rainfall, can have a negative effect on yield.

• Yield was reduced by dry and hot conditions during flowering for both times of sowing.
• Spitfire yielded highest in time of sowing 1 (1.55t/ha) and Condo yelded highest in time of sowing 2 (1.15t/ha).
• The nil nirtogen treatment yield highest (1.01 t/ha); increasing nitrogen rate decreased grain yield for both times of sowing.

• At all crop nitrogen levels applying nitrogen at panicle initiation (PI) increased grain yield above where no PI nitrogen was applied.
• When crop nitrogen levels are deficient applying nitrogen close to PI increased grain yield above later applications.
• The timing of PI topdressing nitrogen application had no effect on grain yield when crop nitrogen levels were adequate.

• Averaged across sowing densities Djakal, N005A-80 and P176-2 yielded the highest with 3.7 t/ha, 3.8 t/ha and 3.9 t/ha respectively, while SnowyA achieved a significantly lower grain yield of 3.2 t/ha.
• Grain yield of Djakal and N005A-80 did not vary significantly between target sowing densities. Both varieties maintained high yields even at the lowest target sowing density (15 plants/m2).
• Lodging was exacerbated at higher sowing densities for all varieties except P176-2, which was consistently low across all sowing densities.
• The length of time to maturity did not vary significantly between target sowing densities for SnowyA, N005A-80 or P176-2. However, Djakal’s maturity length was extended by 4 days at the 60 plants/m2 sowing density when compared with the three lower target plant densities.

• Yield responses to seeding density and nitrogen rate varied between the 2016 and 2017 seasons.

• BannisterA achieved the highest grain yields and had consistent grain quality in both years compared with other varieties.

• In 2017 the new milling variety KowariA had a yield advantage over benchmark variety MitikaA, and had a more stable grain quality at higher seeding and nitrogen rates.
 

• There was no significant interaction between sowing time and phosphorus (P) in response in 2014 and 2015.
• Both sites and years responded positively to P fertiliser with 10kg P/ha achieving a relative yield of 88% and 97% in 2014 and 2015 respectively.
• Further research is required to determine if winter canola requires less applied P than slow spring phenology types (due to teh longer vegetative phase to accumulate biomass by flowering. 

• Increased nitrogen application rates equated to increased grain yield.
• Eary sowing had a grain yield advantage of 0.74t/ha averaged accross all varieties and nitrogen application rates.
• Corack was the highest yielding variety in this trial.
• Splittimg nitrogen application in the second time of sowing increased grain yield. 
• Grain protein concentration increased as nitrogen application rates increased.
• The highest protiens occured at the maximum nitrogen rate of 160kg/ha in Lancer, EGA_Gregory and SPitfire from the 12th May sowing. 

• In 2019, the highest yields came from sowing in late March due to the dry spring conditions and only mild frosts at Wallendbeen.
• Nuseed Diamond was the highest yielding variety from all sowing dates. The highest yield was from the late March  sowing date.
• The winter varieties were lower yielding than the spring types, with yields declining from later sowing dates.
• Open pollinated triazine tolerant varieties were generally lower yielding than the hybrid Clearfield® varieties with similar phenology.

• Grain yeild was maximised by matching variety phenology with the correct sowing time to target the optimal flowring period.
• Early maturing spring types sown on 16 April suffered frost damage and reduced grain yeild as a result of higher moistuer and heat stress conditions at flowering. 
• The highest yielding variety was Sunvale (6.3t/ha) sown on 16 April.
• Beckon sown on 7 May yielded 6.2t/ha and Condo swn on 28 May yielded 4.9t/ha

• The variety Beckom sown on 5 May yielded highest (5.67 t/ha).
• Grain yield reductions up to 4t/ha occured when varieties were not sown at the correct time (due to flowering throughout August - September frost events).
• Greatest yield losses occured when quick maturing varieties were sown early rather than longer season varieties sown late.
• Winter wheats and very long springs spring wheats performed better in 2015 than 2014, presumably due to less aphid pressure (BYDV) in 2015. 
• Grain yield was maximised when winter wheats were sown early (mid-April) or mid to mid-fast varieties were sown in teh first week of May. If spring conditions had been favourable, the winter whaets may have outperformed the mid to mid-fast varities when sown in late May.
• Screening increased as sowing was delayed. 

• The highest grain yields were attained from mid May sowing accross all barley varieties.
• Longer-season varieties were high yielding in the 2016.
• Oxford acheived the highest grain yield for both sowing dates.
• Lodging was prevalent in 2016, significantly reducing grain yield oil susceptible varieties in the first sowing.

• For all varieties, the middle sowing date (4 December) resulted in higher grain yields than the early (11 November) or late (23 December) sowing dates.
• Varieties, N005A-80 and BidgeeA consistently achieved the highest seed protein concentrations.
• Varieties, SnowyA and BidgeeA achieved consistent seed protein concentrations across the three sowing dates, while later sowing dates reduced the seed protein of Djakal, N005A-80 and P176-2 varieties.

• Cooler spring temperatures and excellent plant available soil moisture, favoured the yield potential of longer season and mid maturing wheat varieties in 2016.
• The mid–late and mid-season bread wheat varieties SuntimeA, LRPB FlankerA, SuntopA, BeckomA, MitchA and EGA GregoryA all performed well from an April 27 sowing date (SD1) with yields >6.5 t/ha. The new long-season spring type SunmaxA, likewise achieved ~6.5 t/ha.
• The longer season bread wheat varieties LRPB KittyhawkA and SunlambA also demonstrated their yield potential, achieving yields >6 t/ha for SD1.
• Varieties that performed well across the three sowing dates included EGA GregoryA, MitchA, LRPB FlankerA, SuntopA and BeckomA.
• The new mid-fast season variety LRPB ReliantA yielded well from a main season and delayed sowing date.
• Warm autumn temperatures resulted in many spring wheat entries, particularly the more temperature responsive cultivars, reaching anthesis faster (days from effective SD to anthesis) for SD1 compared with SD2. LRPB LancerA for example was ~9 days faster to reach anthesis for SD1 vs SD2.
• The advanced durum line AGT D043 performed well, achieving yields comparable to the best performing durum DBA AuroraA and bread wheats from a main season sowing date.

• Grain yield was highest from the early sowing date (17 April) .
• Pioneer 44Y89 (CL) was the higest yielding variety.
• The early sowing treatments grew more total biomass and had a higher harvest index than the two later sowing dates.
• Pioneer 44Y89 (CL) had a better harvest index than all other varities in this experiment.

• It is critical to match sowing time with yield varietal phenology to optimise yield potential
• Longer-season varieties were high yielding in 2016 due to the extended grain filling period due to adequate soil moisture and mild spring temperatures
• There is a range of newer varieties with varied phenology with high yield potential 

• Sowing canola early highlights the inherent differences in phenology.

• Slow-developing varieties maintained consistent yield across all sowing dates (late March to late April), whereas fast-developing varieties achieved their highest yield from late April sowing.

• Early flowering (from sowing fast-developing varieties early) reduced yield potential and exposed those treatments to greater disease pressure.

• Early sowing exacerbated phenological differences between the varieties.
• The spread of days to reach 50% flowering within each time of sowing (TOS) varied by 35, 26 and 14 days in TOS 1, TOS 2 and TOS 3 respectively.
• The highest yield was acheived by Nuseed GT-50 (3.9 t/ha) sown on 1 May.
• Hyola 600RR was the highest yielding variety when averaged across all sowing dates.
• The sowing time had a neglible impact on grain yield. 
• The biomass at 50% flowering was greatest in TOS 2 (9.92 t/ha) followed by TOS 1 (7.93 t/ha) and TOS 3 (9.23 t/ha).
• There was strong correlation between biomass at maturity and grain yield, i.e. a higher biomass produced a higher yield.  

• Frost and terminal drought were key determining factors on barley grain yield and development at Condobolin in 2017.
• Selecting sowing date and varietal phenology maximised grain yield by timing flowering for the first week of September at Condobolin.
• Grain plumpness, as indicated by screenings and retention, can be adversely affected by late sowing dates in the absence of spring rainfall.

• Slower maturing varieties had the highest yields in 2016, uncharacteristic of long-term yield trends in central west NSW, where weather conditions typically favour shorter-season varieties.
• While anthesis date is a important contributor to yield, high rainfall and a long grain filling period diluted this association and was confounded by lodging, secondary tillering and waterlogging events.
• Highest yields were attained from the second sowing date (mid May), while late sowing dates suffered yield penalties due to poor plant establishment from waterlogging.  

• The combination of extra stored water (20mm) and early sowing (17 April) resulted in the highest grain yield in this experiment.
• Early sowing without extra stored water gave a higher yield than late sowing (4 May), regardless of teh irrigation treatment at the later sowing date.
• The extra grain yield from early sowing and irrigation was due to increased biomass accumulation and imprved harvest index.
• Oil concentration was low overall, but was higher from the early sowing (33.6%) than th elater sowing (30.5%).

• LBP10 - 0018 was the highest yielding variety sown on the 30th April (2.09 t/ha)
• Emu Rock was the highest yeilding variety sown on 22 May (1.72 t/ha) and 11 June (0.89 t/ha)
• Emu rock was the highest yielding variety (1.49 t/ha) when averaged accross all sowing times.
• Dry conditions during September and October contributed to the lower average yields in the 22 May  and 11 June sowing times

• Sclerotinia stem rot levels were reduced with a single foliar fungicide applied at 10% and 30%, and multiple applications at the 30% and 50% bloom stages.
• Multiple applications at the 30% and 50% bloom stages had the most significant effect in reducing disease.
• Significant yield benefits were measured when multiple fungicide applications were applied during the growing season.

• Fungicides with different active ingredients had similar efficacy.
• Timing application was the most important factor in reducing sclerotinia stem rot development.
• Disease levels were reduced across all treatments, in particular at 30% bloom and the multiple applications at both 30% and 50% bloom stages.
• Yield increases were observed across all treatments, regardless of the fungicide’s active ingredients.

• The presence of oats reduced barley yields from no significant reduction up to 31.27%.
• Varieties FathomA and CommanderA were the most effective varieties at suppressing oat development.
• BassA and BulokeA demonstrated no significant yield reduction in the presence of oats.

Key findings:

• Increasing levels of inoculum (oospores/ plant) of Phytophthora medicaginis (P. med) was strongly correlated with the decreasing yield of Yorker, a moderately resistant chickpea variety.
• An inoculum level of 660 oospores/plant (PreDicta B >5000 P. med copies/g soil) at sowing significantly reduced yield compared with lower inoculum levels under both dryland and irrigated conditions.
• These findings provide further evidence that the PreDicta B P. med test will be a useful tool for growers to determine their risk of Phytophthora root rot before sowing chickpeas.
• Note: the SARDI PreDicta B test for Phytophthora medicaginis is under development and is not yet available commercially.

Summary

P.med inoculum level, PRR disease and yield

Can the P.med DNA soil test predict the risk of Phytophthora root rot?  Based on the results of this trial with Yorker (MR) and the 2014 Tamworth trial with Sonali (S), the answer is YES.  For Yorker significant yield loss can be expected with starting (pre-sow sampling) inoculum levels above ca 3000 P.med DNA sequences/g soil (ca 130 oospores/plant). However, these values may need to be interpreted with some caution as seasonal conditions will modify outcomes, for instance in a dry season less disease may develop from the same amount of inoculum.

As Phytophthora can reproduce rapidly and cause new infections over a relatively short period there was concern that under PRR conducive conditions (a wet season), that low initial levels of inoculum could catch up to high initial levels as cause similar disease severity and yield loss.  The 2015 season was wet but not very wet, under these conditions there was separation in the disease and yields of the low and high inoculum treatments.

P.med DNA detection in commercial in paddocks and disease risk determination

These second season of detection capability results for the soil P.med DNA test were again generally promising, with most samples with positive and negative P.med DNA results corresponding to expected P.med isolation results.  However, results for some samples indicate that further work is required to a) identify what factors may contribute to false negative results and b) determine if false positives are due to the presence of dead or inactive P.med DNA

The DNA result for a soil sample from a paddock can only provide an indication of inoculum concentration and disease risk for the areas of the paddock which were sampled.  Therefore, the spread and locations of sampling across a paddock will affect how representative DNA results are for a paddock.  Because of the risk of rapid PRR disease buildup following wet conditions it may be appropriate to treat a negative Predicta B® test result as indicating a low risk rather than a nil risk, as the pathogen could still be in areas of the paddock that were not sampled and so still cause PRR and reduce yield. 

Work in 2016 will evaluate maximising the probability of detecting P. med by targeting those areas of the paddock where P.med is more likely to occur.  The pathogen thrives in high soil moisture contents and so often occurs in low lying regions of paddocks where pooling following rain may occur.  The pathogen also carries over from season to season on infected chickpea volunteers, lucerne and, native medics.  Including low lying areas and weedy areas of paddocks during PreDicta B® soil sampling may provide the best strategy to detecting P. med and so identifying a paddocks disease risk of PRR in chickpea.

• Mungbean yield potential ranged from a low of 0.81 t/ha up to a high of 2.70 t/ha in three years of irrigated variety evaluation experiments at Trangie in the Macquarie Valley.
• Jade_AUA (released 2013) is the recommended variety for Macquarie Valley mungbean growers with the highest yield potential, largest seed size (an important quality attribute for marketing) and best disease tolerance package. CrystalA would be an adequate second-best option based on yield and potential seed size.
• Niche mungbean varieties such as Regur (black gram type), and the two small-seeded lines Celera IIA and Green DiamondA, would have to command a substantial premium for their respective seed quality attributes to compensate for the poorer yield potential demonstrated in these experiments.

• Soybean yield potential ranged from a low of 1.01 t/ha up to a high of 2.94 t/ha in two years of harvested irrigated variety evaluation experiments at Trangie in the Macquarie Valley.
• Delayed sowing of a soybean crop in the Macquarie Valley can increase the likelihood of delayed maturity, potentially running into prolonged periods of wet autumn weather at harvest time; the 2015–16 experiment was not able to be harvested for this reason.
• MoonbiA (released 2010) is the recommended variety for Macquarie Valley soybean growers under fully irrigated conditions. It has high yield potential, maturity adaptation, excellent grain quality to meet human consumption markets, and resistance to powdery mildew.
• Djakal (southern NSW variety) is recommended for partial irrigation or dryland situations. Its earlier maturity and lodging resistance due to shorter height and reduced biomass enables it to achieve high yields and human consumption quality under less favourable growing conditions.

Key messages:

• Treating EGA GregoryA seed with Rancona Dimension reduced establishment losses associated with the addition of crown rot inoculum to 7% compared with 26% when no seed treatment was used.
• In this instance, Rancona Dimension did not provide a significant or consistent yield benefit in the presence of high levels of crown rot infection across the 12 trial sites in 2015.
• Growers should not expect Rancona Dimension to provide a significant and consistent reduction in yield loss from crown rot infection when used as a standalone management strategy.
• Growers considering the use of Rancona Dimension should follow the manufacturer’s advice and only consider it as part of an integrated management strategy against crown rot.

Conclusions

Rancona® Dimension is registered in Australia for the suppression of crown rot infection. Rancona® Dimension reduced establishment losses associated with severe early infection, created by the addition of crown rot inoculum to the seed furrow at sowing, to 7% compared to 26% in the absence of a seed treatment. Further research is required to determine if this improvement in establishment is associated with reduced Fusarium seedling blight. It should also be established whether such severe establishment losses are an artefact of the inoculation process used in the trials or occurs naturally in paddocks with high stubble-borne inoculum loads. In a separate larger trial conducted at Tamworth in 2015 in which infected stubble at the surface was the inoculum source Rancona® Dimension did not have a significant impact on the establishment of EGA Gregory compared to the Nil seed treatment (data not presented). Establishment benefits apparent in the 12 trials unfortunately did not translate into any improvement in grain yield. Rancona® Dimension did not provide a significant yield benefit over the use of no seed treatment or the two other commonly used seed treatments examined in this study under high crown rot pressure across 12 sites in 2015.

Although Rancona® Dimension is registered for the suppression of crown rot, with activity against early infection and potential establishment losses evident in this study, growers should not expect this to translate into a significant and consistent reduction in yield loss from crown rot infection when the product is used as a standalone management strategy. Integrated management remains the best strategy to reduce losses to crown rot. Growers may like to consider including Rancona® Dimension (320 mL/100 kg seed) as one additional component in their integrated management of crown rot.

• In a year with high rust pressure, fungicide application provided beneficial to all genotypes, even those with a good level of rust resistance.
• Several advanced breeding lines from the northern breeding program show promise, with high yield and large seed size combined with rust and chocolate spot resistance equal to or better than the current northern varieties.

Conclusion:

The high rust pressure and frequent rainfall towards the end of the season was likely responsible for the poor fungicide response in the LF experiment in terms of reducing symptoms and improving yield and seed size. In the HF experiment, mancozeb and
tebuconozole were most effective overall in reducing symptoms and improving yield and seed size. Four of the five fungicides were effective in increasing yield in the HF experiment compared with only one in the LF experiment, indicating the need for repeated sprays when disease pressure is high.

Note that the permit for tebuconazole allows for only three applications of 145 mL/ha in commercial crops.

 

• Adding phosphorus (P) did not significantly increase yield or seed weight in the varieties PBA WardaA and PBA NasmaA.
• PBA NasmaA produced greater yield and seed size than PBA WardaA.

Conclusions:

In this experiment, additional P did not increase yield, however, on a lower P site, a positive response to P might occur. The reduction in yield caused by adding N might be due to reduced nodulation in N-treated plots, although nodulation was not measured in this trial. The greater yield and seed size of PBA NasmaA compared with PBA WardaA supports other experimental data.

• In a year of high disease pressure, most fungicides did not provide a yield and seed size benefit when used at low frequency.
• A high frequency fungicide strategy provided yield benefit using a number of products.
   

• Early sowing and water treatment increased grain yield.
• PBA Marne and PBA Nasma were the highest yielding varieties, while PBA Amberley and PBA Samira were the lowest yielding.
• PBA Nasma was the earliest maturing variety.
• Early sowing and water treatment prolonged the growth duration.
• More biomass was accumulated in early sowing and under the water treatment.

•Across all varieties tested, there was no significant response to sowing time, which validates the current sowing window recommendation. Therefore, the optimum time to sow faba bean at Lockhart in 2016 was late April–mid May.
• PBA Nasma and Fiesta VF were the two highest yielding commercial varieties.
• The advanced breeding lines AF10089 and AF09169, developed by Pulse Breeding Australia (PBA) were significantly higher yielding than all other varieties.
• PBA Samira and Nura yielded significantly higher when sown on 18 May compared to 28 April.
• Crop lodging was significantly less for the 18 May sowing date.
• PBA Nasma flowered 17 and 14 days earlier than PBA Samira and PBA Zahra at 28 April, and eight and six days earlier at 18 May.

• The optimum time to sow faba beans in southern NSW was late April–mid May.
• Even in a favourable season such as 2016 there was a 10% yield penalty when sowing was delayed from 7 May to 2 June.
• Average seed size reduced by 8% when sown outside the recommended window.
• PBA Nasma, Fiesta VF, and PBA Zahra were the highest yielding commercial varieties.
• Advanced breeding lines AF10089 and AF09169 had significantly higher grain yields, particularly at the 28 April sowing date when compared to other sowing dates.
• Flowering duration for PBA Samira and PBA Zahra was stable across sowing dates, but reduced for PBA Nasma as sowing was delayed.

• The optimum timing to sow faba beans at Junee in 2015 was mid-April.
• PBA Zahra, PBS Samira and PBA Nasma were the highest yielding varieties.
• Commercial yields of 3t/ha are acheivable with appropriate variety and selection management. 

• Th optimum time to sow faba beans at Lockhart in 2015 was mid-Apri.
• PBA NAsma, PBA Samira and Fiesta VF were the highest yielding commercial varieties.
• The 23 April sowing had a mean bottom pod height of 42.3cm, 29% higher than the 13 May sowing.

• Sowing time has far greater consequences on growth, development, dry matter and grain yield of faba bean than variety choice.
• The dry spring combined with temperature constraints, imposed a common ceiling to yield despite large differences measured in dry matter (DM), height and reproductive number across all treatments.
• Early sown faba bean was primarily affected by severe frosts, while later sown was limited by flower node production and heat stress.
• Under these conditions, early April sowings resulted in greater biomass, taller plants, more flowering nodes, additional lodging, more disease and greater frost damage. Given a more favourable spring, disease and lodging could have been further exacerbated, inflicting even greater yield penalties to the first time of sowing (TOS).
•  Findings from this and previous experiments show the optimum sowing window for faba bean on acidic, red brown soils of southern NSW to be from 20 April to 15 May. The later sown crops within this window could still be disadvantaged under early unfavourable finishing conditons. 

• The optimum time to sow faba beans at Wagga Wagga in 2015 was mid-late April.
• PBA Nasma, PBA Samira, PBA Zahra, Farah and Fiesta VF were the highest yielding commercial varieties.
• Time of sowing had a far greater effect on growth, development and grain yield, of faba bean than variety in this experiment.
• PBA Nasma prduced a small grain size of 53g/100 seeds, which could have negative marketing implications. Further testing is required to determine if this was a seasonal effect.

• The Making Better Fertiliser Decisions for Cropping Systems in Australia (BFDC) database allows us to search for soil test calibrations for four macronutrients across a range of crops, soils types, regions and time spans.
• As an example, the critical range for soil test P (Colwell) for wheat grown in red chromosols in NSW has increased under minimum-tillage management.

• A soil and sediment survey of 10 irrigated cotton paddocks across four cotton-growing valleys revealed the tail drain sediments were enriched in organic carbon (1.03% ± 0.05) and nitrogen (0.11% ± 0.01) compared with head ditch soils (0.73% ± 0.07 for carbon and 0.08% ± 0.01 for nitrogen) of the same paddocks. Nitrate-nitrogen and dissolved organic carbon analyses showed similar trends.
• After irrigation, tail drain samples tended to release more nitrous oxide compared with head ditch samples. Emission rates were linked to the pre-irrigation mineral nitrogen concentrations of the soil/sediments.
• These non-cropped areas, representing up to 2% of the paddock area, are a significant source of nitrous oxide emission per unit area of farm as they retain high soil moisture and nutrient concentrations in the absence of plants.
• Nitrous oxide emission calculations for cotton farming systems should incorporate the emissions from head ditch and tail drain sections of the irrigation network.
   

• Canola is susceptible to frost damage risk during its reproductive development phase.
• Late-season frosts can have negative economic implications.
• Accurate frost damage identification is important for making appropriate management decisions.