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North West Local Land Services (NWLSS)
| Researcher(s) |
Bill Manning (North West LLS) Stuart Marshman (North West LLS) Merv Riley (NSW DPI) Joop van Leur (North West LLS) |
|---|---|
| Year(s) | 2015 |
| Contributor | Department of Primary Industries NSW |
| Trial location(s) |
Breeza, NSW
|
To study the influence of seed size on the yield of the faba bean variety PBA Nasma.
| Lead research organisation |
Department of Primary Industries NSW |
|---|---|
| Host research organisation | N/A |
| Trial funding source | GRDC UA00127 |
| Trial funding source | DPI NSW |
| Trial funding source | North West Local Land Services (NWLSS) |
| Related program |
Pulse Breeding Australia faba bean breeding program |
| Acknowledgments |
This research was funded by NSW DPI, NWLLS and GRDC under project UA00127: Pulse Breeding Australia faba bean breeding program. Thanks to Ivan Stace for technical assistance. |
| Other trial partners | Pulse Breeding Australia; Co-operator: Scott Goodworth (NSW DPI) |
| Crop type | Grain Legume: Faba beans |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Replicated |
| Sow date | 19 May 2015 |
|---|---|
| Harvest date | Not specified |
| Plot size | Not specified |
| Plot replication | Not specified |
| Other trial notes |
Treatments PBA Nasma seed was graded into three size categories (Table 1) with ungraded seed used as a control. Data on yield, seed size and above ground biomass were collected. |
| # |
Treatment 1
|
Grain yield (t/ha) | 100 grain weight (g) | Biomass at harvest (t/ha) |
|---|---|---|---|---|
| 1 | █ Normal (ungraded) | 4 | 51.4 | 9.83 |
| 2 | █ Small (43 g/100 seeds) | 3.65 | 43.4 | 9.67 |
| 3 | █ Medium (76 g/100 seeds) | 4.47 | 53.6 | 9.83 |
| 4 | █ Large (102 g/100 seeds) | 4.3 | 57.7 | 9.97 |
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.
