Data

Chickpea (deep sandy soils), deep ripping and organic matter, Northern Mallee (Kooloonong), Victoria. Lentil (deep sandy soils), deep ripping and organic matter, Northern Mallee (Kooloonong), Victoria Lupin (deep sandy soils), deep ripping and organic mat

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Southern Pulse Agronomy ; Moodie, Michael
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://www.farmtrials.com.au/trial/32090&rft.title=Chickpea (deep sandy soils), deep ripping and organic matter, Northern Mallee (Kooloonong), Victoria. Lentil (deep sandy soils), deep ripping and organic matter, Northern Mallee (Kooloonong), Victoria Lupin (deep sandy soils), deep ripping and organic mat&rft.identifier=https://www.farmtrials.com.au/trial/32090&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=To evaluate the impacts of the soil amelioration practices of deep ripping and organic matter inputs on the growth and production of lupin, lentil and chickpea grown on deep sandy soils in the Mallee.&rft.creator=Southern Pulse Agronomy &rft.creator=Moodie, Michael &rft.date=2021&rft.coverage=northlimit=-34.871916; southlimit=-34.871916; westlimit=143.140496; eastlimit=143.140496; projection=WGS84&rft_rights=Online Farm Trials Terms of Use https://www.farmtrials.com.au/terms-of-use/&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=CROP AND PASTURE PRODUCTION&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=Pulse&rft_subject=Chickpeas&rft_subject=Lentils&rft_subject=Lupins&rft_subject=Crop Type&rft.type=dataset&rft.language=English Access the data

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To evaluate the impacts of the soil amelioration practices of deep ripping and organic matter inputs on the growth and production of lupin, lentil and chickpea grown on deep sandy soils in the Mallee.

Created: 2019

Issued: 22 11 2021

Data time period: 2019 to 2019

This dataset is part of a larger collection

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143.1405,-34.87192

143.140496,-34.871916

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