2021-04-29 - Jonathon Moore - Classifying the suitability of soils for cotton

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Riverina Branch of the Australian Society of Soil Science

A presentation of work done to date to classify the suitability of lower Murrumbidgee valley soils for cotton production Jonathon Moore, Sydney University PhD student, to Soil Science Australia's Riverina branch workshop on "Parna and Cotton Soils" held at Yanco on 29 April 2021.

Classifying the suitability of lower
Murrumbidgee valley soils for
cotton production
Classifying the suitability of lower
Murrumbidgee valley soils for
cotton production

Study area
• Diverse agricultural production
• Highly variable soil types

An evaluation of the understanding of
cotton growing soils
“The cotton growers of Southern NSW need to know more about their soils
so that they are able to refine soil-related management practices.”
“The cotton growers of Southern NSW need to know more about their soils
so that they are able to refine soil-related management practices.”

Geomorphology
• Fluviatile elements - ancient streams
• Prior deltaic characteristics
• Located centrally within the Riverine plain
• Aeolian elements - Parna
• Sub-plastic properties
• High soil variability

Soils research in the region
• Historical surveys of Irrigation
areas
• 94 identified soil types
• 5 broad soil groups:
• Clays,
• Red-brown earths,
• Transitional red-brown earths,
• Sands over clay, and,
• Deep sandy soils (Hornbuckle et al.,
2008).

Deficiencies in soil knowledge
• Very low confidence
• Lack of published
data
• Significant
knowledge gaps
Data: Office of Environment and Heritage, 2017, Australian Soil Classification (ASC) Soil Type map of NSW, NSW Office of Environment and Heritage, Sydney.

Research aims
• Identify and map soil property variations
• Identify and map soil property variations
• Understand the impact of variations in soil properties on cotton yield
• Understand the impact of variations in soil properties on cotton yield
• Map cotton suitability across the region
• Map cotton suitability across the region

Soil sampling
• 150 cotton soil cores
• 100 non-cotton soil cores
• K-means clustering
• Laboratory analysis

Applications of data
• Linear mixed or random forest models
• Linear mixed or random forest models
• Soil data compared against cotton lint yields
• Soil data compared against cotton lint yields
• Map selected soil properties
• Five depths
• 30 x 30 m resolution
• Map selected soil properties
• Five depths
• 30 x 30 m resolution
• Suitability classification
• Suitability classification

Expected research contribution
• Where are the optimal cotton growing soils within the region?
• Assist in decision making
• Guide infrastructure investment
• Where are the optimal cotton growing soils within the region?
• Assist in decision making
• Guide infrastructure investment
• Improve regional soil knowledge
• Improve regional soil knowledge
• Drive future research
• Drive future research

Progress update
• 77 soil cores extracted
• 77 soil cores extracted

Supervisors:
• A/Prof Stephen Cattle
• Dr Patrick Filippi
• Cotton Research and Development Corporation (CRDC)
Acknowledgements

Thank you!
Contact:
jonathon.moore@sydney.edu.au

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