Australian Agriculture Research Articles

Closed genomes of commercial inoculant rhizobia provide a blueprint for management of legume inoculation.

Inoculation of cultivated legumes with exotic rhizobia is integral to Australian agriculture in soils lacking compatible rhizobia. The Australian inoculant program supplies phenotypically characterized high-performing strains for farmers but in most cases, little is known about the genomes of these rhizobia. Horizontal gene transfer (HGT) of symbiosis genes from inoculant strains to native non-symbiotic rhizobia frequently occurs in Australian soils and can impact the long-term stability and efficacy of legume inoculation. Here, we present the analysis of reference-quality genomes for 42 Australian commercial rhizobial inoculants. We verify and classify the genetics, genome architecture, and taxonomy of these organisms. Importantly, these genome sequences will facilitate the accurate strain identification and monitoring of inoculants in soils and plant nodules, as well as enable detection of horizontal gene transfer to native rhizobia, thus ensuring the efficacy and integrity of Australia's legume inoculation program.

Drought adaptation in Austrian agriculture: empirically based farmer types

AbstractFarmers perceive and appraise climate change, related risks and opportunities as well as adaptation measures differently. Such differences are not well understood and rarely considered in extension services, outreach activities and agricultural policies. We aim to develop empirically based farmer types, who differ in their socio-cognitive and emotional processes towards droughts, their expected drought impacts, their appraisal of drought adaptation measures, and their previous and intended implementation of such measures. The Model of Private Pro-Active Adaptation to Climate Change provides the theoretical foundation for a three-phase procedure of semi-structured interviews, a standardized survey and a qualitative workshop. The principal component analysis reveals eight socio-cognitive and emotional processes of relevance for forming the famer types of drought adaptation: perceived opportunities resulting from droughts, perceived effectiveness of drought adaptation measures, negative affect towards droughts, perceived work effort and perceived social approval of drought adaptation measures, fatalism, trust in public measures, and perceived self-efficacy. Cluster analyses of these processes yield four types of Austrian farmers. The social implementers perceive themselves as capable, and drought adaptation measures as effective, socially approved, and effortless. The unaffected profiteers have hardly been affected by droughts and perceive beneficial impacts due to a decline in precipitation. The trusting fearfuls have already experienced severe drought impacts and express intense negative affect towards droughts. The passive fatalists focus on avoidance and do neither trust in important others nor in public measures. The identified farmer types of drought adaptation may support the design of climate and agricultural policy instruments and of tailor-made education and communication programs, for instance to increase self-efficacy and reduce fatalism.

A dynamic capabilities framework for agriculture education partnerships

ABSTRACT Purpose Our study aimed to identify the characteristics required to develop effective teacher-industry partnerships in Australia. These partnerships are increasingly important in agricultural for teachers to better understand the technological careers available for their students in agriculture. To determine the dynamic capabilities required for effective partnership in agriculture, we examined how teachers and industry representatives worked in partnerships to increase knowledge and understanding of agriculture technology in schools. Design/Methodology/Approach A qualitative case study methodology was used which focussed on industry representatives’ and teachers’ experiences in the context of a teacher professional development programme. Semi-structured interviews were used to explore five purposively selected teacher-industry partnerships that were formed during the programme. Findings This study has identified specific characteristics and behaviours required for effective teacher-industry partnerships in Australia and provide a practical guide for those seeking to work together to improve the visibility of agriculture careers and support a talent pipeline into the sector. Practical Implications Our research has found that for Australian teachers to be role models for future agriculture professionals and provide up-to-date information about the career opportunities available in agriculture, they require knowledge of authentic industry practices that can be developed through partnerships with industry. Theoretical Implications This study applies the Dynamic Capabilities (Dentoni et al. 2016) framework to an agriculture education context and extends it by identifying critical characteristics for agricultural education partnerships. Originality/Value Establishing stronger ties between agriculture teachers and industry is more important than ever given the critical talent pipeline issues facing the Australian agriculture sector. This paper contributes by providing a framework of dynamic capabilities required for effective teacher-industry partnerships in agriculture education.

Advisors as key partners for achieving adoption at scale: embedding “My Climate View” into agricultural advisory networks

IntroductionThis paper examines the role of agricultural advisors as key partners for scaling adoption of long-term climate information. Agri-food sectors across the world face significant challenges in responding to climate change, which intersect with broader pressures driving transitions to more climate resilient and sustainable agri-food systems. Making better climate information available to farmers is a key part of responding to these challenges, since relevant and usable climate information can help farmers to adapt to future climate conditions. The development of climate services, which seek to provide climate information to assist with decision making, has therefore increased significantly over the last decade. The Climate Services for Agriculture (CSA) program provides long-term climate projections to help the Australian agriculture sector prepare for and adapt to future climate conditions. ‘My Climate View’ is an online tool produced by CSA, which provides localised and contextualised, commodity-specific climate information, through historic weather data and multi-decadal projections of future climate, aimed at Australian famers and farm advisors. Agricultural advisors have a critical yet often underutilised role as climate information intermediaries, through assisting farmers translate climate information into action.MethodsThis paper uses CSA as a case study to examine farmer-advisor interactions as a key adoption pathway for My Climate View. We interviewed 52 farmers and 24 advisors across Australia to examine the role of advisors as key partners in helping farmers to understand climate information and explore on-farm climate adaptation options.Results and discussionInteractions between farmers and their trusted advisors are an essential part of the enabling environment required to ensure that this long-term climate information can be used at the farm scale to inform longer-term decisions about climate adaptation. We use the concept of an interaction space to investigate farmer-advisor interactions in the adoption and sustained use of My Climate View. We find that although My Climate View is not a transformational technology on its own, its ability to enable farmers and advisors to explore and discuss future climate conditions and consider climate adaptation options has the potential to support transformational changes on-farm that are needed to meet the sustainability transition pressures that climate change presents.

Modelling the impacts of future climate change on mixed farming system in southeastern Australia

Mixed farming systems play a crucial role in Australian agriculture, offering economic, social, and environmental advantages. However, these systems are vulnerable to climate change, characterized by rising temperatures and increased rainfall variability. We utilized the pre-calibrated AusFarm model, forced with daily climate data downscaled from 27 Global Climate Models, to simulate how climate change would affect mixed-farming systems at two sites, Condobolin and Wagga Wagga located in southeastern Australia. The results indicated that climate change had diverse effects on crop yields. The simulated yield for some crops, such as canola, was projected to decrease, while others, like field peas, were expected to increase. Elevated atmospheric CO2 levels were anticipated to boost pasture production, but the overall outcome would depend on how these changes interact with rising temperatures and changed rainfall patterns. The increase in pastures was associated with higher live sheep weights and increased fleece growth, with a more significant impact observed at the drier Condobolin site. Furthermore, we found that the gross margin was projected to rise at both sites, with Condobolin experiencing more variability under the influence of climate change. These modelling findings highlight the capacity of mixed-farming systems, which integrate both crops and livestock, to uphold or even improve farm profitability in the context of impending climate change. This underscores the crucial significance of mixed-farming systems in southeastern Australia.

Determinants of Blockchain Technology Adoption in the Australian Agricultural Supply Chain: A Systematic Literature Review

Blockchain technology (BCT) is emerging as a key enabler of sustainability in various sectors, including agriculture. This study explores the impact of BCT adoption on sustainability within the Australian agriculture sector. Through a systematic literature review (SLR) of studies published between 2015 and 2021, ten key themes influencing BCT adoption were identified: transparency, traceability, contract exchange, transaction efficiency, trade finance management, quality control, real-time information dissemination, security, trust, and legislative frameworks. The findings suggest that BCT adoption in agriculture can lead to improved sustainability outcomes. By enhancing transparency and traceability, BCT enables stakeholders to track the provenance of products, reducing the risk of fraud and ensuring compliance with environmental standards. The automation and efficiency gains afforded by BCT streamline supply chain processes, reducing waste and resource consumption. BCT enhances trust among stakeholders, fostering collaboration and information sharing to address sustainability challenges. This study contributes to the literature by highlighting how BCT can drive sustainability in agriculture through improved transparency, efficiency, and collaboration.

Is human activity driving climate change? Perspectives from Australian landholders

Australian agriculture and the rural communities that depend upon it are expected to experience significant impacts from climate change. The recognition of the human role in climate change is central in the design and implementation of effective strategies to mitigate and adapt to its impacts. Understanding the extent to which members of the public, such as private landholders, acknowledge human-caused climate change is critical, given their role as custodians of large tracts of natural resources. Rural social benchmarking studies are a useful tool for understanding landholder values and beliefs. Here, we use a rural social benchmarking survey to examine landholder agreement regarding the extent to which humans contribute to climate change across four Australian agricultural regions. We perform hierarchical clustering analysis to determine subgroups of landholders with similar patterns of survey responses. We then evaluate this effect of cluster membership and demographic characteristics using Bayesian ordinal regression on levels of agreement with the statement “that human activities are influencing climate change.” Our findings reveal three distinct clusters based on patterns of responses to survey questions eliciting participants values beliefs and norms. Cluster membership exhibits the strongest positive influence on agreement (0.52, 95% CI: 0.37 to 0.67). This was followed by higher education levels (0.32, 95% CI: 0.22 to 0.41). Gender showed a moderately uncertain but positive influence. Years residing on the property, participant age, and property size showed very little influence, while rainfall zones showed a negative influence of-0.29 (95% CI: −0.47 to-0.12). Our results underscore the need for extension programs to consider landholder typologies based on a combination of lived experience and demographics.

Machine vision solutions for monitoring pest snails in Australian no-till cropping fields: An exploration of spectral characteristics and detectability

In the realm of Australian agriculture, the invasive presence of two round snail species, Cernuella virgata and Theba pisana, and two conical snail species, Cochlicella acuta and Cochlicella barbara, has inflicted substantial economic losses. Effective integrated snail management hinges on precise monitoring of snail populations, yet current manual sampling techniques are prohibitively labour-intensive and susceptible to errors. This study underscores the imperative for a machine vision system capable of accurately and efficiently observing snail populations in the diverse landscapes of Australian broadacre no-till cropping fields. The inherent challenges of varied plant residues, gravels, and soil types in crop fields demands a sophisticated optical system to detect small, clustered, and camouflaged snails. Through a meticulous exploration of spectral features and detectability, employing different combinations of wavelengths and machine learning algorithms, this study yielded the promising findings that live round snails, dead round snails, live conical snails, dead conical snails, and complex field materials, were classified with F1 scores ranging from 0.7 to 0.9. This study not only highlights the potential of such a machine vision system, but also delineates ongoing challenges that warrant further investigation. The insights derived serve as a guide for the development of a robust machine vision system aimed at mitigating the impact of pest snails in agricultural fields.

States of Australia’s agri-environment: visual extractions from degraded landscapes

Under perpetual growth-geared economic, governance and sociocultural systems, continued increases in agricultural output are necessary to feed an ever-expanding human population, as well as neoliberal appetites for financial profitability. These translate to intensifying and expanding agri landscapes. Yet agribusiness industries routinely seek to obfuscate visual tangibility of their production practices and impacts from public view. A gap exists in public availability of high-resolution imagery depicting Australian agriculture’s industrial scales, degraded lands and landscape impacts. This visualisation endeavour is situated between the blurry and pixelated resolution of freely available agricultural satellite imagery, and agri- marketings’ frequently glossy, colour-saturated and romanticised depictions from on-ground photography and video. Positioned between these two purviews, the drone-eye-view provides sharp and incisive imagery contributing new insights into agri- landscapes and practices. This visual essay draws from drone imagery captured during continental-scale field research spanning all Australian states and territories, all commodities and major industries, and all scales of commercial farming. As Australian agribusiness is landscape and resource extractive in its geometric pattern arrays, transmuted images are extricated from aerial stills and videos into compositional strips. Together with the poetic and interpretative text, the work reveals industrial and degraded landscapes at nested scales, links foods with their production contexts, and is suggestive of the state of Australia’s agricultural environment.

Examining the Role of Material Science in Atrazine Herbicide Biodegradation by Pseudomonas putida MTCC 2252

Atrazine is a chlorinated herbicide of the triazine class. It is used to prevent pre-emergence broadleaf weeds in crops such as maize (corn), soybean and sugarcane and on turf, such as golf courses and residential lawns. Atrazine's primary manufacturer is Syngenta and it is one of the most widely used herbicides in the United States, Canadian, and Australian agriculture. The bacteria used for the bio degradation of Atrazine is Pseudomonas putida. In this study, we report the biodegradation of Atrazine at high initial concentrations. The biodegradation of this Atrazine was investigated using Pseudomonas putida. For Pseudomonas putida optimization parameters like Contact time, Ph, Initial concentration, Temperature, Inoculum volume, Carbon source, Nitrogen source

Comparing established practice for short-term forecasts and emerging use of climate projections to identify opportunities for climate services in Australian agriculture

The use of climate services in agriculture to improve both tactical and strategic management decisions on farm is an area of increasing societal interest and technological development in Australia, as climate change increases climate variability and risk. Yet the focus of most uses of climate services remains on weather and seasonal forecasts and tactical farm responses, with longer term climate projections less often empirically examined. In this paper we analyse 25 interviews with farmers in Australia and use social practice theory to compare farm risk management decisions utilising short-term weather forecasting and longer-term climate projection planning. We identify different elements of climate risk management as a social practice, looking particularly at materials (objects and tools), meanings (beliefs and thinking) and competencies (skills and knowledge) associated with climate services. We find that there are significant differences in how decisions are made using different temporal data scales and furthermore, that there are large gaps in the materials, meaning and competencies for the use of longer-term climate projections. This analysis allows us to clearly identify opportunities for the agricultural sector in Australia, and globally, to better support decisions in both weather and climate timeframes by treating these as distinctly different capabilities and addressing the different elements of social practice outlined here.

Discovery of insecticide resistance in field-collected populations of the aphid pest, Acyrthosiphon kondoi Shinji.

The bluegreen aphid (Acyrthosiphon kondoi) is a worldwide pest of alfalfa, pulses, and other legume crops. An overreliance on insecticides to control A. kondoi has potentially placed populations under selection pressure favouring resistant phenotypes, but to date, there have been no documented cases of insecticide resistance. Recently, Australian growers began reporting that conventional insecticides were failingto adequately control A. kondoi populations, prompting this laboratory-based investigation into whether these populations have evolved resistance. We discovered four A. kondoi populations with moderate resistance (10-40-fold) to three different insecticide groups: organophosphates, carbamates and pyrethroids. However, A. kondoi populations showed no resistance to the butenolide, flupyradifurone. We were unable to identify general metabolic mechanisms using synergist assays (cytochromes P450, glutathione S-transferases, or esterases), indicating that further detailed molecular investigations to characterise the putative resistance mechanism are needed. Insecticide-resistant A. kondoi present an emerging challenge to Australian agriculture. Growers require new tools and updated strategies, including access to newer chemistries, to alleviate their reliance on the few insecticides currently registered against A. kondoi. The implications of insecticide resistant A. kondoi for future management, the potential mechanisms of resistance, and future research priorities are discussed. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Applications of seaweed extracts in agriculture: An Australian perspective

AbstractSociety depends on food production. However, agricultural productivity is greatly challenged by extreme climate events and volatility. Seaweed extracts (SWE) have a key role in food production and their use is central to improving agricultural productivity by increasing crop tolerance to stress, improving the efficiency of plant nutrient use, and by contributing to sustainable farm practices. The benefits of SWE to crops have previously been reviewed in the context of the northern hemisphere, but not since 2015 in Australia – specific to its crops and unique stressors. This review is focused on the scientific progress since 2015 and insights from Australian research related to: (i) SWE-stimulated plant responses, (ii) field research on SWE, (iii) optimising the use of SWE in agriculture. The review considers the effects of SWE (made from Durvillaea potatorum and Ascophyllum nodosum) in the field, across crops, seasons, regions, and farming systems in Australia, and research conducted in the laboratory under controlled conditions on model and crop plants at the molecular, cellular, and physiological levels. The results from the review highlight the role of SWE in plant priming responses in laboratory experiments and its association with improved plant tolerance in the field. The review discusses the field effects related to production and fruit quality. The uniqueness of the Australian research is the inclusion of the same SWE in laboratory and field research, and the characterisation of plant responses under challenged and un-challenged conditions. This information provides deeper insights into the actions of SWE and enables growers and agronomists to optimize their field application in Australian agriculture.

A Summary of Fatal Injury Surveillance Methods in Australian Agriculture and Their Impact on Safety Policies and Practices

ABSTRACT Agriculture is one of the most important and also hazardous industries in Australia. Having a sound knowledge and understanding of the circumstance of injury events is critical to developing evidence-based intervention programs. This paper aims to provide a brief historical snapshot of the development of data systems underpinning the assessment of fatal farm injury in Australia and how it has impacted on safety policy and practice. The first Australian studies used coronial information to explore agricultural fatalities, these studies reviewed paper-based records (in-situ) and collected the information for analysis and reporting. This task was laborious and costly. When the National Coronial Information System (NCIS) was established in 2000, this allowed access to coronial records online. Information provided about the deceased includes demographics, contextual details on the nature of the fatality and autopsy, toxicology, and police reports, as-well-as the coroner’s finding. Information from the NCIS, along with media reports, have been used to develop the farm fatality database. This information has been used to inform the safety goals and targets for farm commodity groups, identify key risks, provide long-term benchmark indicators and underpin the development of prevention materials and training resources. Without accurate, timely, concise and relevant data about injury occurring on farms, there is no evidence to drive policy and practice or to evaluate programs of work. As such, the continued utilization and extension of the NCIS data will prove crucial to further reducing the burden of preventable fatal injuries on Australian farms.

Impact of water stress during reproductive development on seed dormancy in Bromus diandrus Roth and Lolium rigidum Gaudin

Context Bromus diandrus Roth and Lolium rigidum Gaudin are important weeds of cereal-based cropping systems of Australian agriculture. Adaptation to environmental stresses, protracted seed germination and herbicide resistance have made these weeds serious threats to crop production. Aims Studies were undertaken to determine the impact of moisture stress during reproductive development on the extent of seed dormancy and the expression of genes involved with gibberellic acid and abscisic acid synthesis. Methodology A pot study was undertaken at two locations, with two populations each of B. diandrus and L. rigidum. Water stress was applied from either the GS31 or GS60 stage until seed maturation, along with a well-watered treatment. Seeds of stressed vs well-watered treatments were assessed for seed dormancy and the expression of ABA1 and GA20ox genes using quantitative polymerase chain reaction. Results The seeds from GS31 treatment, where plants experienced the longest water stress, were most dormant in both weed species. Water stress treatments altered the expression of the GA20ox gene, which was correlated with the level of dormancy in seeds of B. diandrus and L. rigidum. Conclusions This investigation has provided clear evidence of the impact of water stress on seed dormancy and on expression of genes involved in regulating seed dormancy in these weed species. Implications As spring rainfall in the Australian agricultural landscape is highly variable, weeds are likely to experience variable levels of water stress during reproductive development, which in turn is likely to influence seed dormancy, weed seedling emergence and effectiveness of pre-sowing weed management next season.

Impact of heat stress on flower visitation and pollination of Phaseolus coccineus by honey bees (Apis mellifera)

High summer temperatures caused major crop losses in scarlet runner beans (Phaseolus coccineus) in Austrian agriculture. To evaluate the impact of temperature on pollination, a greenhouse experiment was conducted. Pollination of P. coccineus by Apis mellifera was studied under standard temperature conditions (22 °C) and was compared to heat stress conditions (35 °C) in the greenhouse as well as to natural insect–flower interactions in the field trial. Under heat stress conditions, workers of A. mellifera significantly decreased their flower visitation, while the duration of flower visits significantly increased compared to normal greenhouse temperatures. Heat stress leads to a foraging stop of honey bees on the flowers of runner beans within a few days. It is concluded that the raised ambient temperature that we are facing during global warming may have negative effects on pollination and fruit set of P. coccineus.

Land Application of Biosolids-Derived Biochar in Australia: A Review

Thermal treatment in Australia is gaining interest due to legislative changes, waste reduction goals, and the need to address contaminants’ risks in biosolids used for agriculture. The resulting biochar product has the potential to be beneficially recycled as a soil amendment. On-farm management practices were reviewed to identify barriers that need to be overcome to increase recycling and examine the role of pyrolysis and gasification in effectively improving the quality and safety of biochar intended for land application. Key findings revealed the following: (1) thermal treatment can effectively eliminate persistent organic pollutants, microplastics, and pathogens, and (2) more than 90% of the total heavy metals content in biosolids may become immobilized when these are converted to biochar, thus reducing their bioavailability following land application. While the reported research on the short-term effects of biosolids-derived biochar suggests promising agronomic results, there is a dearth of information on long-term effects. Other knowledge gaps include the optimization of land application rates, understanding of the rate of breakdown, and the fate of contaminants in soil and water, including heavy metal mobility and redistribution in the environment by processes such as erosion and runoff following land application. An improved understanding of nutrients and contaminants dynamics in soils receiving biosolids-derived biochar is a pre-requisite for their safe use in Australian agriculture, and therefore, it is highlighted as a priority area for future research.

Beyond waste-to-energy: Bioenergy can drive sustainable Australian agriculture by integrating circular economy with net zero ambitions

The race to meet net zero targets by 2050, while rapidly transitioning to a circular economy (CE) within the next decade, is shaping strategic Australian sustainability policy. While the success of integrating CE concepts relies on coordinating system-wide change, policies and strategies are still evolving under the traditional silos of waste and energy management. This presents multiple barriers to critical sectors, such as agriculture, which aims to become an $AUD100 billion industry by 2030. Agri-food systems face the challenge to meet growing global food demand, expected to increase by 70% by 2050, while decreasing emissions, resource use and waste production. Agriculture plays essential push and pull roles in meeting net zero targets and in developing a truly CE. Bioenergy, a critical part of the renewable circular bioeconomy, sits at the intersection of net zero and CE by producing renewable energy and recovering bioresources from waste biomass. By integrating agricultural end-users as key stakeholders, bioenergy can shift from a waste-to-energy process to a multi-resource generating process. These policy areas could be integrated via a similar approach to the Australian National Agricultural Innovation Policy Statement, with the goal of supporting agricultural production, while reducing emissions and maximising renewable resource use efficiency.

A regional-scale assessment of nutritional-system strategies for abatement of enteric methane from grazing livestock

Progress towards methane (CH4) mitigation for the red meat, milk and wool sectors in Australia and reduced CH4 emissions intensity (g CH4/kg animal product, typically milk or liveweight gain) involves not only reduced net emissions but also improved productive efficiency. Although nutritional additives have potential to reduce CH4 production rate of livestock (g CH4/head.day), systemic improvement of the nutrition of grazing breeding females, the largest source of CH4 emissions in Australian agriculture, will also be required to reduce emissions intensity. Systemic changes that increase productive efficiency for producers are part of the economic and environmental ‘win–win’ of reducing emissions intensity, and so offer good potential for adoption by industry. For sheep and cattle breeding enterprises, improved nutrition to achieve a younger age at first joining and increased reproductive rate will reduce the proportion of CH4-emitting, but unproductive, animals in a herd. However, if breeding stock are managed to be more productive (e.g. by superior nutrition leading to greater product/breeder) and more efficient (e.g. greater product per kilogram DMI) the producer is faced with the following management challenge. Should the enterprise increase stock numbers to utilise surplus feed and gain extra product, or reduce stock numbers to maintain previous product output with smaller enterprise net emissions (and emissions intensity), and so make land available for other uses (e.g. tree plantings, conservation zones). The right balance of incentives and price on carbon is necessary to achieve a result whereby total emissions from Australian agriculture are reduced, and so a positive impact on climate change is achieved.

Revised emission factors for estimating direct nitrous oxide emissions from nitrogen inputs in Australia’s agricultural production systems: a meta-analysis

Context Agricultural soils are a major source of emissions of the greenhouse gas nitrous oxide (N2O). Aim Quantify direct N2O emissions from Australian agricultural production systems receiving nitrogen (N) inputs from synthetic and organic fertilisers, crop residues, urine and dung. Method A meta-analysis of N2O emissions from Australian agriculture (2003–2021) identified 394 valid emission factors (EFs), including 102 EFs with enhanced efficiency fertilisers (EEFs). Key results The average EF from all N sources (excluding EEFs) was 0.57%. Industry-based EFs for synthetic N fertiliser (excluding EEFs) ranged from 0.17% (non-irrigated pasture) to 1.77% (sugar cane), with an average Australia-wide EF of 0.70%. Emission factors were independent of topsoil organic carbon content, bulk density and pH. The revised EF for the non-irrigated cropping (grains) industry is now 0.41%; however, geographically-defined EFs are recommended. Urea was the most common N source with an average EF of 0.72% compared to urine (0.20%), dung (0.06%) and organo-mineral mixtures (0.26%). The EF for synthetic N fertilisers in rainfed environments increased by 0.16% for every 100 mm over 300 mm mean annual rainfall. For each additional 50 kg N ha−1 of synthetic fertiliser, EFs increased by 0.13%, 0.31% and 0.38% for the horticulture, irrigated and high rainfall non-irrigated cropping industries, respectively. The use of 3,4 dimethylpyrazole-phosphate (DMPP) produced significant reductions in EFs of 55%, 80% and 84% for the horticulture, non-irrigated and irrigated cropping industries, respectively. Conclusions and implications Incorporation of the revised EFs into the 2020 National Greenhouse Accounts (NGA) produced a 12% increase in direct N2O emissions from the application of synthetic N fertilisers. The lack of country-specific crop residue decomposition data is a major deficiency in the NGA.