Neil I. Huth
Research Subjects
Research Interests
Neil I. Huth has a total of 86 co-authors. Here are the top co-authors by number of shared publications:
- Perry L. Poulton
CSIRO Agriculture and Food, Queensland Bioscience Precinct, St. Lucia, QLD 4067, Australia
4 shared publications - Philip James Smethurst
CSIRO
3 shared publications Enli Wang
2 shared publicationsP.S. Carberry
CSIRO Sustainable Ecosystems, Agricultural Production Systems Research Unit (APSRU), PO Box 102, Toowoomba, Qld 4068, Australia
2 shared publications- Val Snow
AAgResearch – Lincoln, Private Bag 4749, Christchurch 8140, New Zealand
2 shared publications - Aynalem M. Dilla
Center for Environmental Science, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa 1000, Ethiopia
1 shared publication
Latest Publications
- Open Access
- 18 July 2023
- Published by Association for Computing Machinery (ACM)
- p. 3135-3139
SciHarvester: Searching Scientific Documents for Numerical Values
A challenge for search technologies is to support scientific literature surveys that present overviews of the reported numerical values documented for specific physical properties. We present SciHarvester, a system tailored to address this problem for agronomic science. It provides an interface to search PubAg documents, allowing complex queries involving restrictions on numerical values. SciHarvester identifies relevant documents and generates overview of reported parameter values. The system allows interrogation of the results to explain the system's performance. Our evaluations demonstrate the promise of incorporating information extraction techniques with the use of neural scoring mechanisms.
- 18 July 2023
- Published by Association for Computing Machinery (ACM)
- p. 3135-3139
Open AccessSciHarvester: Searching Scientific Documents for Numerical Values
A challenge for search technologies is to support scientific literature surveys that present overviews of the reported numerical values documented for specific physical properties. We present SciHarvester, a system tailored to address this problem for agronomic science. It provides an interface to search PubAg documents, allowing complex queries involving restrictions on numerical values. SciHarvester identifies relevant documents and generates overview of reported parameter values. The system allows interrogation of the results to explain the system's performance. Our evaluations demonstrate the promise of incorporating information extraction techniques with the use of neural scoring mechanisms.
- 25 March 2022
- Published by Elsevier in Soil and Tillage Research
- Vol. 220, 105340
Measured and modeled maize and soybean growth and water use on pipeline disturbed land
- 25 March 2022
- Published by Elsevier in Soil and Tillage Research
- Vol. 220, 105340
Measured and modeled maize and soybean growth and water use on pipeline disturbed land
- Open Access
Nitrate Uptake from an Aquifer by Two Plantation Forests: Plausibility Strengthened by Process-Based Modelling
Forest plantations can access water from some unconfined aquifers that also contain nitrate at concentrations that could support hydroponic culture, but the separate effects of such additional water and nitrogen availability on tree growth have not hitherto been quantified. We demonstrate these effects using simulation modelling at two contrasting sites supporting Eucalyptus globulus Labill. or Pinus radiata D.Don plantations. The APSIM Eucalyptus and Pinus models simulated plantation growth within 2% of observed growth where the water table was at 4 m depth for eucalypts (height 28 m, MAI 32 m3 ha−1 year−1) and at 23 m for pines (height 37 m, MAI 20 m3 ha−1 year−1). In simulations without an aquifer, observed growth could only be matched using unrealistically high surface soil nitrogen (N) supply, suggesting this is an unlikely mechanism. Simulated aquifer N concentrations, evapotranspiration, and net N mineralization and leaching (emergent properties of modelling) were similar to measured values. These results strengthen the plausibility that aquifer N uptake by plantations could be contributing to tree growth. This hypothesis warrants further research that quantifies these processes at multiple sites. Simulations included growth of herbaceous and tree weed species, and pasture, which demonstrated the utility of the process-based APSIM modelling framework for dynamically simulating carbon, water and N of plantations and other mixed-species systems.
Open AccessNitrate Uptake from an Aquifer by Two Plantation Forests: Plausibility Strengthened by Process-Based Modelling
Forest plantations can access water from some unconfined aquifers that also contain nitrate at concentrations that could support hydroponic culture, but the separate effects of such additional water and nitrogen availability on tree growth have not hitherto been quantified. We demonstrate these effects using simulation modelling at two contrasting sites supporting Eucalyptus globulus Labill. or Pinus radiata D.Don plantations. The APSIM Eucalyptus and Pinus models simulated plantation growth within 2% of observed growth where the water table was at 4 m depth for eucalypts (height 28 m, MAI 32 m3 ha−1 year−1) and at 23 m for pines (height 37 m, MAI 20 m3 ha−1 year−1). In simulations without an aquifer, observed growth could only be matched using unrealistically high surface soil nitrogen (N) supply, suggesting this is an unlikely mechanism. Simulated aquifer N concentrations, evapotranspiration, and net N mineralization and leaching (emergent properties of modelling) were similar to measured values. These results strengthen the plausibility that aquifer N uptake by plantations could be contributing to tree growth. This hypothesis warrants further research that quantifies these processes at multiple sites. Simulations included growth of herbaceous and tree weed species, and pasture, which demonstrated the utility of the process-based APSIM modelling framework for dynamically simulating carbon, water and N of plantations and other mixed-species systems.
- Open Access
Plot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland
Poor agricultural productivity has led to food shortages for smallholder farmers in Ethiopia. Agroforestry may improve food security by increasing soil fertility, crop production, and livelihoods. Agroforestry simulation models can be useful for predicting the effects of tree management on crop growth when designing modifications to these systems. The Agricultural Production Systems sIMulator (APSIM) agroforestry tree-proxy model was used to simulate the response of maize yield to N fertilizer applications and tree pruning practices in the parkland agroforestry system in the Central Rift Valley, Ethiopia. The model was parameterized and tested using data collected from an experiment conducted under trees and in crop-only plots during the 2015 and 2016 growing seasons. The treatments contained three levels of tree pruning (100% pruned, 50% pruned, and unpruned) as the main plots, and N fertilizers were applied to maize at two rates (9 or 78 kg N ha−1) as sub-plots. Maize yield predictions across two years in response to tree pruning and N applications under tree canopies were satisfactorily simulated (NSE = 0.72, RSR = 0.51, R2 = 0.8). Virtual experiments for different rates of N, pruning levels, sowing dates, and cultivars suggest that maize yield could be improved by applying fertilizers (particularly on crop-only plots) and by at least 50% pruning of trees. Optimal maize yield can be obtained at a higher rate of fertilization under trees than away from them due to better water relations, and there is scope for improving the sowing date and cultivar. Across a 34-year range of recent climate, small increases in yields due to optimum N-fertilizing and pruning were probably limited by nutrient limitations other than N, but the highest yields were consistently in the 2–4 m zone under trees. These virtual experiments helped to form hypotheses regarding fertilizers, pruning, and the effects of trees on soil that warrant further field evaluation.
Open AccessPlot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland
Poor agricultural productivity has led to food shortages for smallholder farmers in Ethiopia. Agroforestry may improve food security by increasing soil fertility, crop production, and livelihoods. Agroforestry simulation models can be useful for predicting the effects of tree management on crop growth when designing modifications to these systems. The Agricultural Production Systems sIMulator (APSIM) agroforestry tree-proxy model was used to simulate the response of maize yield to N fertilizer applications and tree pruning practices in the parkland agroforestry system in the Central Rift Valley, Ethiopia. The model was parameterized and tested using data collected from an experiment conducted under trees and in crop-only plots during the 2015 and 2016 growing seasons. The treatments contained three levels of tree pruning (100% pruned, 50% pruned, and unpruned) as the main plots, and N fertilizers were applied to maize at two rates (9 or 78 kg N ha−1) as sub-plots. Maize yield predictions across two years in response to tree pruning and N applications under tree canopies were satisfactorily simulated (NSE = 0.72, RSR = 0.51, R2 = 0.8). Virtual experiments for different rates of N, pruning levels, sowing dates, and cultivars suggest that maize yield could be improved by applying fertilizers (particularly on crop-only plots) and by at least 50% pruning of trees. Optimal maize yield can be obtained at a higher rate of fertilization under trees than away from them due to better water relations, and there is scope for improving the sowing date and cultivar. Across a 34-year range of recent climate, small increases in yields due to optimum N-fertilizing and pruning were probably limited by nutrient limitations other than N, but the highest yields were consistently in the 2–4 m zone under trees. These virtual experiments helped to form hypotheses regarding fertilizers, pruning, and the effects of trees on soil that warrant further field evaluation.
- Open Access
- 30 December 2019
- Published by MDPI AG in Proceedings
- Vol. 36 (1) , 13
Drivers of Phosphorus Efficiency in Tropical and Subtropical Cropping Systems
Phosphorus (P) is an essential nutrient but is commonly limiting for food production in tropical and subtropical maize cropping. The efficiency of P fertiliser uptake is often low (5–30%) for various site-specific reasons and so identifying the drivers of P efficiency for different systems is important. We conducted a sensitivity analysis on the parameters of a well-established cropping systems model (APSIM) for a wide range of soil, crop and management factors to understand their influence on yield. The analysis was conducted for two contrasting maize cropping systems: (a) a high-input, large-scale commercial system in subtropical Queensland, Australia and (b) a low-input, small-holder system in tropical, western Kenya. In Queensland, yield was most sensitive to available P and mineral N supply, and the sensitivity of both increased with in-crop rainfall. Available P was also the most important parameter in Western Kenya, but N supply had much weaker influence due to higher levels of organic matter. Parameters controlling P sorption were more important than other soil parameters at both sites irrespective of seasonal conditions. In conclusion, these results suggest that efforts to improve efficiency of P use by plants need to account for interactions between water and N supply in environments where these are limiting. They also highlight a potential constraint to modelling of these systems as some of the most influential parameters are difficult to measure directly.
- 30 December 2019
- Published by MDPI AG in Proceedings
- Vol. 36 (1) , 13
Open AccessDrivers of Phosphorus Efficiency in Tropical and Subtropical Cropping Systems
Phosphorus (P) is an essential nutrient but is commonly limiting for food production in tropical and subtropical maize cropping. The efficiency of P fertiliser uptake is often low (5–30%) for various site-specific reasons and so identifying the drivers of P efficiency for different systems is important. We conducted a sensitivity analysis on the parameters of a well-established cropping systems model (APSIM) for a wide range of soil, crop and management factors to understand their influence on yield. The analysis was conducted for two contrasting maize cropping systems: (a) a high-input, large-scale commercial system in subtropical Queensland, Australia and (b) a low-input, small-holder system in tropical, western Kenya. In Queensland, yield was most sensitive to available P and mineral N supply, and the sensitivity of both increased with in-crop rainfall. Available P was also the most important parameter in Western Kenya, but N supply had much weaker influence due to higher levels of organic matter. Parameters controlling P sorption were more important than other soil parameters at both sites irrespective of seasonal conditions. In conclusion, these results suggest that efforts to improve efficiency of P use by plants need to account for interactions between water and N supply in environments where these are limiting. They also highlight a potential constraint to modelling of these systems as some of the most influential parameters are difficult to measure directly.
- 1 November 2019
- Published by Elsevier in European Journal of Agronomy
- Vol. 111
Combine observational data and modelling to quantify cultivar differences of soybean
- 1 November 2019
- Published by Elsevier in European Journal of Agronomy
- Vol. 111
Combine observational data and modelling to quantify cultivar differences of soybean
- 1 March 2019
- Published by Elsevier in Agricultural and Forest Meteorology
- Vol. 266-267, 184-197
Optimized sowing time windows mitigate climate risks for oats production under cool semi-arid growing conditions
- 1 March 2019
- Published by Elsevier in Agricultural and Forest Meteorology
- Vol. 266-267, 184-197
Optimized sowing time windows mitigate climate risks for oats production under cool semi-arid growing conditions
- Open Access
- 1 May 2018
- Published by Elsevier in Agricultural Systems
- Vol. 162, 259-268
Warm nights in the Argentine Pampas: Modelling its impact on wheat and barley shows yield reductions
- 1 May 2018
- Published by Elsevier in Agricultural Systems
- Vol. 162, 259-268
Open AccessWarm nights in the Argentine Pampas: Modelling its impact on wheat and barley shows yield reductions
- 4 July 2017
- Published by Taylor & Francis in Water International
- Vol. 42 (5) , 599-617
Use of coal seam water for agriculture in Queensland, Australia
The development of the coal seam gas industry in Australia has led to the extraction of large volumes of relatively salty groundwater. Once treated, this coal seam water (CSW) is being made available for irrigation and it is an opportunity for landholders to increase the level and reliability of their agricultural production. This paper reviews the use of CSW and approaches to sustainable agriculture. The review suggests that, barring technical and economic constraints, re-injection of treated CSW into stressed agricultural aquifers may provide more equitable access to water and broader economic benefits than current location-specific irrigation schemes.
- 4 July 2017
- Published by Taylor & Francis in Water International
- Vol. 42 (5) , 599-617
Use of coal seam water for agriculture in Queensland, Australia
The development of the coal seam gas industry in Australia has led to the extraction of large volumes of relatively salty groundwater. Once treated, this coal seam water (CSW) is being made available for irrigation and it is an opportunity for landholders to increase the level and reliability of their agricultural production. This paper reviews the use of CSW and approaches to sustainable agriculture. The review suggests that, barring technical and economic constraints, re-injection of treated CSW into stressed agricultural aquifers may provide more equitable access to water and broader economic benefits than current location-specific irrigation schemes.