The aim of this project is to improve the effectiveness of dry sowing focusing on wheat and canola. It will conduct experiments at three sites with different rainfalls and soils to examine the effect of sowing practices on establishment at a range of sowing times. The project will explore the ability of remote sensing to measure seedbed moisture content to aid decision making. Controlled environment studies on emergence in different soils and moisture contents will support the field studies.
Articles Posted by Bridget Penna
Pairing pulses for improved yield, protein, agronomy and profit (UAD1223)
Nov 23, 2023 | Current Projects
This project will be undertaken by SARDI researchers and will investigate if the pairing of faba bean and semi-leafless field pea will benefit both crops by increased seed and protein yield; reduced lodging, disease and harvestability issues; and improved yield and reduced N fertiliser cost of the following wheat crop. This system could increase faba bean representation in more marginal areas and increase yield in drier seasons as field pea is better adapted to drier conditions.
Processing solutions for a novel high-protein food ingredient from vetch (UAD1123)
Nov 23, 2023 | Current Projects
Researchers have recently found a way to detoxify vetch via a steeping method. This project will be undertaken by SARDI researchers and aims to develop a low-cost, robust method for physical removal of the β-cyanoalanine toxin from common vetch, and capacity in quantitative analysis of toxin levels, towards including vetch as an alternative feedstock for plant protein production in SA.
Improved management of variable phosphorus requirement and strategies for highly responsive soils (TC221)
Nov 23, 2023 | Current Projects
Phosphorus (P) response prediction based on spatial data in variable soils is to be validated in a series of field trials encompassing different soil types. Best practice for long term management of high P response sites is to be determined.
Using grain protein maps to optimise nitrogen fertiliser to paddock scale nitrogen variability (TCO2423)
Nov 23, 2023 | Current Projects
Grain protein map data and other spatial data layers will be investigated for application in targeting nitrogen (N) inputs more precisely to optimise N use, grain yield and protein and profitability. A combination of spatial data and targeted small plot N response trials will improve understanding of how to utilise available spatial data layers for variable rate application of N.
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