Faba bean time of sowing - Wagga Wagga 2014

2014

Research organisaton
Funding sources

Trial details

Researcher(s) Eric Armstrong (NSW DPI)
Luke Gaynor (NSW DPI)
Gerard O'Connor (NSW DPI)
Year(s) 2014
Contributor Department of Primary Industries NSW
Trial location(s) Wagga Wagga, ACT
Further information View external link
Faba bean time of sowing - Wagga Wagga 2014 locations
Aims

To compare the growth, development and yield of current commercial faba bean varieties and promising advanced breeding lines at three sowing dates on a hard-setting, acidic, red brown soil at Wagga Wagga.

Key messages
  • 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. 
Lead research organisation N/A
Host research organisation N/A
Trial funding source GRDC DAV00113
Trial funding source DPI NSW
Related program Expanding the use of pulses in the Southern region
Acknowledgments

This experiment was part of the project ‘Expanding the use of pulses in the southern region’, DAV00113 2013–16, a collaborative pulse project between state agencies in Victoria, NSW and South Australia, jointly funded by NSW DPI and GRDC.


Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Grain Legume: Faba beans
Treatment type(s)
  • Crop: Variety
  • Sowing: Timing
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Wagga Wagga 2014

Sow rate or Target density Targeted 35 plants/m2 adjusted for seed size and germination
Sowing machinery

Direct-drilled using a six-row cone seeder with 300 mm row spacing, press wheels and GPS auto-steer

Sow date (TOS 1) 2 April, (TOS 2) 24 April, (TOS 3) 12 May
Harvest date none specified
Plot size Not specified
Plot replication Not specified
Fertiliser

80 kg/ha SuPerfect® grain legume fertiliser (NPKS 0:13.8:0:6.1) placed 2 cm below seed.

Herbicide

Commercial practices aimed at weed-free conditions to eliminate weed competition and prevent weed seed set.
Fallow weed control: 2 L/ha glyphosate (450 g/L) and 1 L/ha 2,4-D LV ester (680 g/L)
Incorporated by sowing: 2 L/ha glyphosate (450 g/L), 2 L/ha Stomp® (440 g/L pendimethalin), 2 L/ha
Avadex® (400 g/L tri-allate) and 1 kg/ha Terbyne® (750 g/kg terbuthylazine)
Post sow pre-emergent: 250 g/ha Terbyne® (750 g/kg terbuthylazine)
Post emergent: 330 mL/ha Select® (240 g/L clethodim), 100 mL/ha Verdict®
(520 g/L haloxyfop) and 500 mL/100 L Uptake® spraying oil

Insecticide

Targeting Helicoverpa sp.:
400 mL/ha Fastac® Duo (100 g/L alpha-cypermethrin) – 20 September and 24 October

Fungicide

Penncozeb® 750 (mancozeb) – 2 kg/ha on 23 June for chocolate spot
Howzat® (carbendazim) – 500 mL/ha on 8 August and 1 September for chocolate spot

Inoculant Group F peat inoculant was mixed directly into an on-board 200 L water tank then pumped through micro-tubes into each sowing furrow
Other trial notes

This research paper is an extract from the publication Southern NSW Research Results 2015, available at
https://www.dpi.nsw.gov.au/agriculture/broadacre-crops/guides/publications/southern-nsw-research-results

Download the trial report to view additional method/treatment information

Download results

Trial results Dry matter production

@T1: 2 April @T2: 24 April @T3: 12 May
# Variety
Dry matter (t/ha) Dry matter (t/ha) Dry matter (t/ha)
1 PBA Rana 9.67 9.56 7.66
1 PBA Rana 9.72 10.15 7.63
1 PBA Rana 8.88 8.73 7
2 PBA Zahra 9.62 8.56 7.51
2 PBA Zahra 9.42 8.39 7.36
2 PBA Zahra 9.5 9.24 6.88
3 AF06125 8.23 8.49 7.31
3 AF06125 9.71 9.61 7.63
3 AF06125
4 Af07125
4 Af07125
4 Af07125
5 PBA Nasma
5 PBA Nasma
5 PBA Nasma
6 Farah
6 Farah
6 Farah
7 PBA Nura
7 PBA Nura
7 PBA Nura
8 PBA Samira
8 PBA Samira
8 PBA Samira

Dry matter t/ha


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Wagga Wagga, ACT Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Wagga Wagga, ACT Sodosol
Soil Moisture Source: BOM/ANU
Average amount of water stored in the soil profile during the year, estimated by the OzWALD model-data fusion system.
Year Wagga Wagga ACT
2014 514.0mm
2013 495.6mm
2012 532.6mm
2011 518.9mm
2010 554.8mm
2009 505.6mm
2008 495.7mm
2007 453.3mm
2006 460.7mm
2005 525.9mm
2004 458.7mm
2003 439.3mm
2002 496.0mm
2001 510.7mm
2000 422.1mm
National soil grid Source: CSIRO/TERN
NOTE: National Soil Grid data is aggregated information for background information on the wider area
Actual soil values can vary significantly in a small area and the trial soil tests are the most relevant data where available

Soil properties

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Climate

Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

Wagga Wagga ACT

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Some data on this site is sourced from the Bureau of Meteorology

SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol 16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.



Trial last modified: 19-10-2023 14:43pm AEST