The progeny of primiparous sows (gilts) are recognized as a significant burden on the overall production efficiency of Australian pig herds. Gilt progeny (GP) grow slower and have higher rates of morbidity and mortality compared to the progeny of multiparous sows (sow progeny; SP). Previous research suggests that there is an underlying biological basis for differences between GP and SP. Therefore, the aims of this thesis were to clarify the timeframes of when these differences are in effect by investigating gastrointestinal (GI) development in the pre-weaning period and also to develop late gestational and lactational nutritional interventions to improve GP performance. In doing so, this thesis consists of a series of experiments in which three general hypotheses were tested: (1) GP display poorer production performance compared to SP; (2) GP consistently displayed reduced gastrointestinal (GI) tract development compared to SP and (3) GP production performance could be improved by targeting nutritional interventions towards late gestation and/or lactation. Experiment 1 (Chapter 3) involved the quantification of GI functional development at 4 time points; birth (0h), 24 hours after birth (24h), 1-day pre-weaning (PrW) and 1-day post-weaning (PoW) of GI tissues (stomach, jejunum, ileum and colon). Transepithelial resistance (TER) was measured on all organs of the GI tract while the permeability of macromolecules fluorescein isothiocynate (FD4) and tetramethyl rhodamine isothiocynate (T150) labelled dextrans was measured in the mucosa of the jejunum and ileum. Additional GI function measurements were taken such as tight junction proteins and cytokine abundance in the jejunal and ileal tissues. The main findings were that GP showed early signs of lower GI tract function compared to SP at birth, particularly in terms of lower TER in the stomach tissues of the stomach, jejunum and ileum. However, differences between GP and SP were largely observed from PrW to PoW with GP exhibited poor GI barrier function at weaning reflected the reduced epithelial barrier integrity in response to weaning, mainly in the distal portions of the GI tract (ileum and colon). Differences in GI barrier function between the birth cohort and the weaning cohort suggests that the variation between GP and SP is established in the pre-weaning period. This indicates that the pre-weaning period is critical for optimal GI tract function development for GP and their reduced growth performance compared to SP is likely due to a lack of colostrum/milk consumption. As the development in GI barrier function in the piglet is critical for survival and productive efficiency, we investigated the utility of quantifying intestinal fatty acid binding protein (I-FABP) as a biomarker of GI integrity (chapter 4). Fatty acid binding proteins (FABP’s) are ubiquitous intracellular transport proteins integral to fatty acid metabolism. However, organs of the GI tract have a specific intestinal isoform (I-FABP). The use of FABP’s as biomarkers for organ damage have been proposed, but little is known about the utility if I-FABP as a biomarker in the pig. The outcomes of this experiment showed that plasma I-FABP concentrations were substantially lower in piglets than later in life and this led to significant challenges in detection using existing ELISA based methodologies. While it is interesting that I-FABP is expressed in such low concentrations early in life, to properly understand the utility of I-FABP as an intestinal biomarker will require more sensitive technologies such as mass spectroscopy, which will limit its utility as a biomarker. In order to support growth of GP in the pre-weaning period, various nutritional strategies were investigated and implemented during either late gestation and/or lactation. In experiment 3 (chapter 4), the ketogenic substance 1,3-Butanediol (BD) was fed to gilts and sows from day 90 of gestation to farrowing in order to provide and alternative energy source to GP at farrowing. The main result was that birth litter weights were increased in GP from gilts fed the BD diet and this extended to day 21. Furthermore, the proportion of GP born less than 1.1kg were less from those gilts fed the BD diet, increasing their chances of survival to weaning. Previous research suggests that gilts suffer from high levels of oxidative stress during gestation and possibly lactation compared to multiparous sows resulting in reduced GP growth. Experiment 4 (chapter 5) involved supplementing late gestation and lactation diets with a sugar-cane derived polyphenol mixture (Polygain) to improve GP growth during the pre-weaning period. Furthermore, due to the anti-inflammatory properties of Polygain, weaner diets were supplemented with this mixture to reduce post-weaning inflammation. Polygain was unable to increase GP growth in the pre-weaning period nor did it reduce inflammation measured by the circulation pro-inflammatory cytokine interleukin-1 beta (IL-1b). Interestingly, results from this experiment do suggest that GP exhibit reduce immune function compared to SP reflected in their lower plasma IL-1b concentrations overall compared to SP. Lastly, experiment 5 (chapter 7) investigated the effects of feeding gilts and sows a diet supplemented with lucerne chaff or a diet formulated to have the same estimated fibre, amino acid and energy content as lucerne (SIMLUC) to improve GP performance. These diets were able to increase GP average weight and gilt litter weight at day 21 while a similar effect was not observed in SP. The improvement of D21 litter weights in gilts in response to the LUC and SIMLUC diets fed in late gestation is an important finding which demonstrates the importance of targeted feeding strategies towards gilts to maximize GP performance. In conclusion, results from this thesis indicate that GP are consistently born and weaned lighter and growth slower than SP. They display reduced GI tract development, with GP entering weaning with reduced GI integrity. Furthermore, GP display some signs of reduced immunocompetence compared with SP which may impede their ability to cope with the stressors of weaning. Therefore, nutritional interventions are most likely to work when they support higher milk yields in gilts and support growth of GP in the neonatal and pre-weaning period.

Myanmar is an agricultural country with substantial development potential, having abundance of land, water and labor resources. Despite this, agricultural productivity in Myanmar is low and smallholder farm profits and incomes are amongst the lowest in Asia. Many reports have documented that the underperformance of crops and low yield is mainly due to the low use of fertilizers by smallholders in Myanmar. Fertilizer application is an important strategy in increasing crop yield. However, determining the “Right Rate” at the “Right Time” is challenging to achieve economic, social and environmental goals. Many decision support tools (DSTs) have been developed to support farmers in making better informed fertilizer management decisions. Such tools allow farmers to use fertilizers more efficiently and increase production, reduce risks, save resources and gain more profit with a lower detrimental impact on the environment. DSTs are developed to be a solution and support farmers in Myanmar with their fertilizer decisions. However, there is limited evidence of the acceptability and successful ongoing uptake of DSTs by farmers throughout the world. A review of the literature suggested that agricultural DSTs, in general, have suffered from low levels of use, apparently due to limited acceptability by end-users. Reasons for this include lack of user participation in the initial design and development of the tools, complexity of earlier DST versions, insufficient training and technical support and limited ongoing funding for DST maintenance. Participatory approaches to include farmers as users have been investigated to improve the design and development of DSTs. The complexity of the tools has been simplified into decision support smartphone apps but delivering useful information that represents and relates to farmer decision making remains important. A strong emphasis on the farmer decision-making processes with respect to economics and risks are still required for wider adoption of DSTs. New technologies that integrate socio-economic factors into farmer decision making are likely to be valuable. Thus, this study aims to develop a decision support framework to assist farmers with their fertilizer decisions in Myanmar. Data were obtained from a survey of 600 smallholders in Tatkon, Zeyarthiri and Taungoo Townships in the central Dry Zone of Myanmar. The survey was conducted using CommCare, a mobile application for data collection. Field experience in the design and implementation of using CommCare to collect data for a complex farming system in Myanmar was discussed along with the recommendations which may allow other researchers to conduct a smooth and successful survey using similar mobile data collection process. The survey results provided valuable information on fertilizer use to test whether the reportedly low levels of fertilizer use by Myanmar smallholders are generally true for central Myanmar and compared the timing of fertilizer application practices of smallholders against recommended “Good Management Practices”. There have been concerns over the national data quality with very limited evidence in Myanmar. This is the first substantive study in Myanmar to compare smallholder fertilizer use with national recommended rates and report the fertilizer application times on cereal crops (rice and maize). Smallholders used both urea and compound fertilizers for cereal crops. For rice, the average amount of fertilizer applied was much higher than the reported national-level data of average fertilizer use. With respect to the timing of applications, smallholders were mostly aligned with recommended practices for Nitrogen (N), except that nearly half of the surveyed smallholders were not applying N at that the estimated panicle initiation stage, which is crucial to increase yield. With respect to applying Phosphorus (P), the majority (82%) of smallholders were applying as compound fertilizer throughout the growth stages when earlier application of P is recommended. Smallholder farmers may also be able to reduce the cost of labor by reducing the number of P applications and avoiding late applications. These results have enabled a better understanding of smallholder farmer utilization and management of fertilizers, their experiences and their livelihoods which remain crucial in designing and implementing sustainable interventions. The survey also provided information on farmers’ use of smartphones and agricultural mobile applications (apps) and analyzed factors affecting their use. This was used to assess the potential for farm-based decision support. In Myanmar very little literature relates to perceptions and use of Information and Communication Technologies (ICTs) and no study has considered factors related to the use and adoption of mobile apps in the Myanmar agricultural sector. Given the low uptake of decision support tools/apps by farmers throughout the world, this study provides valuable context for discussing farmer perceptions and what factors need to be considered in developing and scaling up mobile applications. A Probit analysis indicated that when introducing mobile-based tools, focus should be given to younger, more educated farmers growing more specialized crops. Smallholder farmers in Myanmar were found to be optimistic and positive towards agricultural apps, but there were many barriers including limited access to smartphones, lack of digital knowledge, and high cost of internet for effective utilization. However, most surveyed farmers were familiar with information received through Facebook groups. Incorporating useful information and functions from an agricultural mobile app to a Facebook Page could have a more useful and sustainable impact, at the same time eliminating the issues such as lack of awareness, lack of use and long-term servicing and sustainability. This new knowledge is important as many agricultural mobile apps have been developed and are continuing to be developed for decision support to farmers when these apps have not been widely utilized by farmers. Another reason for the limited use is that the tools do not account for complex and heterogeneous smallholder farming systems. Farm typology analysis has facilitated transfer and adoption of appropriate technologies to target groups of farmers with similar circumstances. It is important to consider the heterogeneity of farmer groups if DSTs are to be designed to reflect the needs of targeted end-users. Typology analysis was further applied to the survey dataset to distinguish farmer groups with similar socio-economic characteristics. Six distinct groups of farms were identified. A qualitative participatory research approach with smallholders from each farm type was subsequently conducted to identify potential adopters of a DST for fertilizer management. Only one group of farmers indicated that DSTs could be useful in gaining more information and knowledge. These farmers were more likely to adopt a fertilizer DST than other farmer groups. Farmers who were interested in the technology indicated that Discussion Groups are a better learning environment and preferred a learning-based tool rather than a prescription-based tool. Discussion Support is a collaborative approach between farmers, whereas Decision Support is a more instructive approach providing recommendations which can be misinterpreted. Discussion Support can be used by individual farmers, groups of farmers, or a group of farmers with extension officers enabling discussion of alternative management decisions, asking specific questions and seeking new ideas about adjusting farm decisions to meet smallholder management objectives. Farmers expressed preferences for video clips and infographics integrated into digital platforms, including social media and existing agri apps. Integrating a participatory research framework with typology identification is potentially valuable in assessing new technologies and may have a beneficial role in direct interactions with smallholders. This framework creates an opportunity to implement farmers’ suggestions and opinions, which can be a valuable resource for further information system (IS) and decision support system (DSS) researchers. The proposed decision support framework is to abandon the traditional DST approach, which is to be considered as a “black box”, complex requiring substantial manual data entry requirements which are not attractive to farmers. Instead, this framework suggests ongoing participatory approaches with farmers to gain their trust, integrate their inputs and implement their suggestions, identify specific groups of farmers as early adopters, utilize social media platforms to deliver discussion support outputs which are readily usable in the form of video clips and infographics and develop a discussion support format where farmers can discuss and learn from each other. Considerable care should be taken to ensure that farmers’ socio-economic factors and decision-making contexts are also considered. In the case of smallholders in central Myanmar, there was very little evidence from the field survey in support of the perception that Myanmar farmers are using low levels of fertilizers. The results indicated the farmers appeared to be substantially following good fertilizer management practices and decision support should be focused on other management practices instead of fertilizer.

Animal welfare science has functionally only existed for a little over 50 years. The last three to four decades in particular have seen a relative boom in the rate of expansion, understanding and attention that this discipline has received. Whilst the foundations of animal welfare science mainly focused on identifying and removing negative welfare states in captive animals, modern scientific inquiry is now starting to understand and approach positive welfare states as a crucial part of any sentient being’s experience of life as well. Positive welfare states may include many elements, such as an animal being fit and healthy, experiencing positive moods and affects, and being able to express natural behaviours (or instead, as this thesis will argue, behaviours that are highly motivated and/or highly rewarding). Encouraging, facilitating and maintaining positive animal welfare states in captive zoo animals are a high priority for modern, ethical zoos. However, there is currently a substantial gap in the published literature exploring positive welfare states associated with human (especially visitor) contact in zoo settings. There is limited research that suggests that human-animal interactions in zoos may potentially be rewarding for some animals that are motivated to participate in, and even ‘solicit’, these interactions, from both familiar husbandry providers (zookeepers) and/or unfamiliar zoo visitors. Ethically, zoos operate under a few key theories pertaining to animal welfare, animal rights, and environmental ethics. A few such theories are: Compassionate Conservation, Conservation Welfare, and Duty of Care. These theories take inspiration from multiple philosophical discourses, and many of them co-exist within the zoological and aquaria communities, institutions and (self-regulated) associations. Many individual institutions may favour particular ethical theories over others, and not all zoos are ethically run, nor is their captivity of certain animals justified or adequate. However, many influential voices within zoological associations are creating a robust model for running ‘modern, ethical zoos’. An amalgamation of many theoretical ethical approaches is required to fully articulate why zoos should, and do, continue to exist. The phylogenetic Class Reptilia (reptiles) is now more correctly termed non-avian reptiles, as recent taxonomic amendments have included all extant and extinct animals back to the clade Diapsida, which includes all dinosaurs, and hence all modern birds - Aves. This now makes reptiles a monophyletic group (i.e. with a single common ancestor). Thus, when discussing modern reptiles, such as tortoises, it is proper to distinguish between avian and non-avian reptiles. Currently, none of the non-avian reptile families have been adequately studied in terms of animal behaviour, cognition and animal welfare sciences. These families include: Sub-order Crocodilia – crocodiles, alligators, gharials, & caimans; Order Lepidosauria, which includes both Squamata – lizards and snakes, and Order Rhynchocephalia – Tuatara; and Order Testudines – turtles, tortoises and terrapins. Declarations of sentience (i.e. feelings) made by governments and scientific associations (such as the World Organisation for Animal Health (OIE)) often include reptiles under the assumption of “all vertebrate animals”, but specific declarations of sentience in reptiles are often missing, or overlooked, in scientific writing and welfare-related policies and discussions. Indeed, the historical assumption that reptiles are merely sedentary automata without complex cognitive and sentient capacities persist. Available cognition and sentience research, however, indicates that there is a very solid basis for assuming and declaring that non-avian reptiles do indeed display all relevant capacities to be classified as conscious, aware, and sentient beings. This means that they most likely are consciously aware of their own welfare, and hence their lives and well-being matter to them. This thesis was designed to weave a coherent story connecting animal ethics, states of consciousness, awareness and sentience in non-avian reptiles (that are often overlooked), and experimental research that addresses whether some zoo-housed reptiles perceive human interaction as rewarding, and whether they are indeed motivated to seek these interactions. Three experiments were conducted: An Aldabran Giant Tortoise (Aldabrachelys gigantea) preference test (n=2); a Leopard Tortoise (Stigmochelys pardalis) preference test (n=5); and a zoo visitor survey of behavioural and ethical beliefs about zoo-housed non-avian reptiles, and the acceptability of human-animal interactions and owning wildlife as pets (n=231). Both tortoise preference tests found individual differences between subjects, and I concluded that some individual tortoises do indeed prefer human interaction (shell scratching and neck rubs) over other stimuli in the experimental circumstances. Whether the rewarding component for the tortoises was the interaction with the human or simply a pleasurable outcome was not determined. While these results could not be generalised to all populations of tortoises or reptiles in general, the results showed significant individual preferences amongst the sample populations, indicating that being aware of, and sensitive to, individual animals’ ‘wants’, rather than making decisions at a species level, is warranted for zoo-housed non-avian reptiles. The results of PCAs of visitor survey responses (n=231) found five common ethical beliefs (components) in the sample of zoo visitors, labelled: 1) Human interaction and entertainment priority component; 2) Complicated zoo ethics and animal welfare component; 3) “Wilding”, natural living and anti-captivity sentiments component; 4) Ethical duty of care component; and 5) Animal agency and respect component. There were some significant differences between agreement with Component 2 and respondents’ education level. Furthermore, Wilcoxon’s Signed Rank tests on 3 paired questions (that were answered before and after randomly allocated positive or negative human-animal interaction statements) significantly influenced the re-rated scores to the questions in either the positive or negative direction corresponding to the information provided, showing a significant influence of education (informative statements) on zoo visitor attitudes. Finally, drawing from relevant information of the known capacities of non-avian reptiles, and from the results of the two preference tests conducted herein that indicated some preferences for human interactions by tortoises studied, I investigated an ethical model of human-animal interactions in zoos that may benefit the well-being and positive welfare of both animal and human participants, and proposed some recommendations for improvement of such interactions. These recommendations may be relevant to zoological institutions and their governing associations, and the results of the ethical and experimental chapters within this thesis may help inform evidence-based improvements for non-avian reptile welfare within these institutions.

The processing tomato industry in Victoria, Australia, has experienced a yield decline over the last decade, resulting in losses estimated at 10% per annum. The decline was attributed to the necrosis of lateral and feeder rootlets and the collar region resulting in plant stunting and a reduction in fruit production. Therefore, the hypothesis underlying this study was that the decline is caused by the cumulative effects of damage by a complex of soil-borne root and collar rot pathogens. Surveys of processing tomato crops were undertaken over three consecutive growing seasons between 2016 and 2019 to investigate the pathogens, symptoms and diseases associated with yield decline. Soil-borne fungal and oomycete pathogens were the focus but bacterial pathogens, viruses, nematodes and phytoplasmas were also noted. Systematic isolation from diseased roots and the collar region of plants putatively infected by fungal and oomycete pathogens was undertaken. Identification of isolates was based on cultural morphology, ITS sequencing and in some cases commercial qPCR testing. Fusarium oxysporum and Pythium spp. were the most abundant putative pathogens associated with plants exhibiting poor growth. Other putative pathogenic fungi and oomycetes which were less commonly encountered included Alternaria spp., Colletotrichum coccodes, Fusarium solani, Phytophthora nictotianae, Phytophthora cajani, Plectosphaerella spp., Rhizoctonia solani, Sclerotinia minor and S. sclerotiorum. A novel Fusarium collar and root rot disease of processing tomatoes was discovered during the surveys. The disease was characterised by chocolate-brown streaking in the internal collar and tap root tissue, as well as lateral root rot of stunted tomato plants. Morphological characterisation and multi-loci phylogenetics (ITS, ef1a and Pgx4), were used to identify the causal pathogen as Fusarium oxysporum. The disease was initially thought to resemble Fusarium Crown and Root Rot (FCRR) caused by Fusarium oxysporum f. sp. radicis-lycopersici (Forl), a disease which has not been reported in Australia. However, subsequent pathogenicity and physiological assessments of isolates suggested the disease was caused by a novel Fusarium pathogen. Consequently, this disease was named chocolate streak disease (CSD) to differentiate it from FCRR. Pythium was the second most abundant organism isolated during the surveys. As Pythium is a large genus consisting of species beneficial, neutral and detrimental to plant growth, further investigation was required to understand the impact of Pythium spp. on processing tomato growth and yield. Eleven species of Pythium were identified based on cultural characteristics and phylogenetic analysis using ITS, Cox-1 and Cox-2 gene sequences. None of these Pythium species had been reported previously from processing or table tomatoes in Australia. In addition, this is the first report of P. carolinianum, P. heterothallicum, P. recalcitrans and a new Pythium sp. from field-grown tomato crops globally. Pythium dissotocum was the most abundant and widespread species. Pythium ultimum, P. aphanidermatum and P. irregulare were the most aggressive towards both seedlings and mature plants, causing pre- and post-germination damping-off, severe root rot and stunting. Collectively, the evidence provided by this study supports the hypothesis that a complex of root and collar rot pathogens, particularly F. oxypsporum and Pythium spp., are contributing to the 10% yield loss in Victorian processing tomatoes.

Polyphenols are widely studied due to their antioxidant activities with the capacity of preventing the generation of free radicals and reactive oxygen species and are therefore associated with reduced risks of chronic diseases caused by excessive oxidative stress. Matrix factors, including plant structure and interactions between polyphenols and macromolecules from diets play crucial roles in the bioaccessibility, digestion and absorption of polyphenols. While it is known that structural changes of polyphenols occur during digestion, the influence of the dietary matrix is not well understood. This project presents a stepwise approach, using black carrot as a model plant and both in vivo and in vitro digestive models, to understand digestion of phenol-rich plant foods and its effect on gut microbiome composition as well as long-term plasma antioxidant capacity under influence of plant cell structure, polyphenol-lipid interactions and polyphenol structural biotransformation. The results provided a comprehensive view of the digestion of phenol-rich plant in context of a whole diet and implied the significance of matrix factors in polyphenols bioavailability and colonic microbiome response to phenol-rich plant digestion. There has been a lack of standardised measurement of polyphenol activity and structure that can be generally applied to various fruits and vegetables. Here, improved methods of detection of potential antioxidant activity of food substances were modified and standaridsed, using high-throughput 96-well plate assays, and individual polyphenols were separated and quantified using HPLC-PDA and LC-ESI-QTOF/MS. Sixteen plant foods were tested. Factor analysis (FA) and Pearson’s correlation tests showed high correlations among 2,2’-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), 1,1-Diphenyl-2-picryl-hydrazyl (DPPH), ferric reducing antioxidant potential (FRAP) and phenolic acids, implying the comparable capabilities of scavenging the DPPH/ABTS free radicals and reducing ferric ions from the antioxidant compounds in the samples. Developing these assays in high-throughput mode allows various fruits and vegetables of different origins to be analysed. Black carrots, together with other anthocyanin-rich fruits and vegetables, showed high antioxidant activities among the tested plant foods. Bioaccessibility of plant phytochemicals to digestive processes is dependent on the integrity of the plant cell but the fate of phenolic compounds is not well described. An in vitro simulated digestive system was used to detect the bioaccessible antioxidant activities and individual polyphenols of black carrots at gastric, small intestinal and colonic digestive stages via the standardised antioxidant assays and LC-ESI-QTOF/MS. Possible degradation pathways of phenolic compounds were proposed. The majority of polyphenols in black carrots were decomposed through anthocyanin and phenolic acid deglycosylation, and phenyl acids and/or benzoic acids pathways during small intestinal and colonic digestions. Using an in vitro system provided standardised interpretation of the biochemical pathways in digesting plant phytochemicals during digestion. The bioavailability of polyphenols is further affected by plant cell structure and dietary compounds. The effect of plant cell structure (raw carrot dices and cooked puree) and dietary lipids (sunflower oil, beef tallow and coconut oil) on polyphenol bioaccessibility and these effects were next studied by investigating the long-term consumption of phenol-rich plants on plasma total antioxidant capacity (TAC) and atherogenic index (AI) with a whole animal (in vivo) pig model. Processing black carrot to smaller particles and inclusion of dietary lipids, especially coconut oil (rich in medium-chain fatty acids (MCFAs)), significantly increased polyphenols bioaccessibility due to attenuated cell wall trapping and increased structural stability of polyphenols enhanced by phenol-micellised lipids interactions. However, the overall bioaccessibility of polyphenols, especially anthocyanins, were low after small intestinal digestion with only around 5% of cooked puree and around 2% of raw diced carrots bioaccessible due to the low stability of anthocyanins at pH 7. The in vivo pig study verified the low bioavailability of polyphenols in black carrots with diets supplemented with black carrots not showing statistically significant increases in plasma TAC in a porcine model after the 4-week length of the study, although it showed the trend with significantly higher plasma TAC in low-fat diet-carrot puree group compared to that of the groups with high-fat diet control and high-fat diet-carrot dices. However, excessive long-term administration of the high-fat diet induced significantly higher plasma AI. These results indicated that although dietary lipids enhance polyphenols bioaccessibility during digestion, consumption of plant material could not counterbalance the negative impacts from long-term excessive intake of lipids. The effect of dietary supplementation of the plant material on the composition of the gut microbiome and production of short-chain fatty acids (SCFAs) were studied both in vitro and in vivo through 16S rRNA sequencing and GC-FID. Presence of dietary black carrots modulated gut microbiome with increased relative abundances in health beneficial bacteria (including the Prevotella, Prevotellaceae NK3B31 group, and Lactobacillus) were observed after 20 h simulated colonic fermentation in the in vitro model. When lipids were included in the dietary matrix, the effect of black carrot was attenuated with more similar microbiome compositions shown between carrot-lipid matrix and the corresponding lipid control groups. In the pig study, however, limited microbial compositional changes were found in pigs with a high- or low-fat diets when combined with pureed or diced carrot. Influence from other polysaccharides in background diets, genetic backgrounds and colonic milieu of the hosts could have contributed to the gut microbiome resilience to the added polyphenols and dietary fibre. Coconut oil (rich in MCFAs) showed much more significant impacts on gut microbiome modulation in vitro compared to sunflower oil and beef tallow (rich in long-chain polyunsaturated fatty acids (PUFAs) and saturated fatty acids (SFAs) respectively) with an increase relative abundance in colonic pathogenic Escherichia. Higher levels of SCFAs were produced by digesta supplemented with raw diced carrots during in both in vitro and in vivo studies. Limited effects on total SCFAs produced were shown when digesta was supplemented with both sunflower oil and beef tallow, but addition of sunflower oil promoted beneficial butyrate production. Coconut oil showed antibacterial activity with significantly reduced SCFAs production. These results contribute to our knowledge of digestion of phenol-rich plants under the influence from complex dietary mixes and the effect on the vast fermentative diversity of the gut microbiome, which could possibly more accurately simulated and reflected the human colonic status responses to the interventions of daily consumed fruits and vegetables. Overall, this project indicated that the impact of polyphenols in the digestive tract should be considered in the context of plant cellular structure and interactions with dietary macromolecules. Destructed cell walls enhanced the absorption of polyphenols but also reduced the fermentation possible from dietary fibre in the large intestine. Bioavailability of polyphenols from anthocyanin-rich plant foods is low due to structural instability of anthocyanins during digestion. Dietary lipids enhance polyphenols bioaccessibility during digestion, but addition of plant material could not counterbalance the negative impacts from long-term excessive intake of lipids when considering a whole animal model. Coupling phenol-rich plant foods with diets containing low amounts (around 5%) of fat could be a good approach to increase the bioavailability of polyphenols.

Abstract Arsenic (As) is a toxic metalloid, which is carcinogenic i.e. cancerous to humans. Besides the drinking water, accumulation of As in food grains through plant uptake, when cultivated in As contaminated soils, is a potential route of human dietary As exposure. This has inspired research into alleviating grain As accumulation, despite there being already existing strategies with major disadvantages such as low efficiency, high costs, and usage being restricted to smaller-scale operations. Therefore, pre-sowing microwave (MW) soil heating and sawdust biochar were used to investigate if they can reduce As concentration in wheat and rice. Microwave is a form of electromagnetic radiation, which can produce heat in the soil by inducing the rotation of the dipoles of polar molecules (e.g. water). Microwave heating depends on the dielectric properties of the soil. Therefore, a study was conducted to determine the dielectric properties of different types of soils with different moisture content. The results showed that the soil moisture was the major contributor to the dielectric behavior of soil since dielectric properties increase as soil moisture increases. Soil types also had an influence as the dielectric properties of sandy soil were much lower than the other soils such as clay and loam soil. To investigate the effect of MW and biochar on wheat and rice grain As concentration, both the wheat and rice soils were spiked with five As concentrations (As-0, As-20, As-40, As-60, and As-80 mg kg-1 soil). In addition to MW, biochar was used to reduce rice grain As accumulation since biochar has been gaining attention for its heavy metal immobilization capacity. After As application, three levels of biochar (BC-0, BC-10, and BC-20 t ha-1 soil) were added only in the rice-growing soil. Then, soils were treated for 0, 3, and 6 minutes (MW-0, MW-3, and MW-6) in an MW chamber to achieve the soil temperature of around room temperature, 60 oC, and 90 oC respectively. The crops were grown in a completely randomized design with four replications in a glasshouse during 2017 (wheat) and 2018 (rice). The results demonstrated that, in both the wheat and rice, MW soil treatments, especially the MW-6, alleviated As phytotoxicity and facilitated less grain total As concentration compared with the MW-0 treatment across all the soil As concentrations. Also, MW treatment significantly reduced the concentration of arsenite [As(III)], the most toxic form of As. Decreased grain As concentration in rice was recorded at BC-10 in lower levels of soil As concentrations (As-20 and As-40) while, a negative impact was observed at BC-20 across all the soil As concentration, compared with BC-0 treatment. Furthermore, rice grain As(III) concentration increased significantly in BC-20 treatment. Thus, MW-6 treatment could be used for the alleviation of grain As concentration in wheat and rice grain, whereas more study is needed for the best biochar application rate. However, understanding the residual effect of MW and biochar is crucial for the sustainability of the treatment. Therefore, the same varieties of wheat and rice were grown in the following year, using the same pots, without the addition of further MW or biochar treatment. The results revealed that, 360 days after MW soil treatments there was still the potential to alleviate grain As concentration in both wheat and rice. A similar result was observed for biochar treatment in the residual year with a positive effect at BC-10 and a negative effect at BC-20 treatment. Furthermore, it is unclear whether MW soil treatment is just a heating effect or if there is some other effect of the electromagnetic wave involved. Therefore, a glasshouse pot study was designed to investigate the effect of MW and conventional electric oven (EO) soil heating on As phytotoxicity alleviation in rice. The soil was spiked with three levels of soil As concentration (As-0, As-40, and As-80 mg kg-1) prior to applying MW and EO heat treatments, to achieve the soil temperature of around 80 - 90 oC. The results showed that, there was no statistically significant difference between MW and EO treatments regarding As phytotoxicity alleviation. However, the positive effect was more in MW treatment than the EO treatment. Significantly less total energy required in the MW to treat the soil than the EO. Besides the As phytotoxicity alleviation, the effect of MW soil heating on soil microorganisms, particularly bacteria, was a topmost concern and investigation was needed to ascertain that MW soil heating does not affect it drastically. Therefore, an experiment was designed to investigate the effect of MW heating (80 - 90 oC) on the soil bacterial community in As contaminated (As-0, As-40, and As-80 mg kg-1 soil) soils. The 16S rRNA bacterial gene copy numbers decreased significantly after MW soil heating but recovered back to its previous number 42 days post treatment. The bacterial diversity also decreased significantly in MW treated soils but did not recover even after 56 days from MW heating. However, there was no noticeable effects of soil As concentration on bacterial community were observed. Furthermore, relative abundance of some beneficial bacteria such as Bacillus and Symbiobacterium were significantly higher in the MW treated soils. Thus, MW soil heating at 80 - 90 oC can potentially be applied for As phytotoxicity alleviation without significantly destroying the ecologically important taxa. Overall, pre-sowing MW soil heating could be applied as a novel technique to alleviate As phytotoxicity in wheat and rice with lower As accumulation in the grain. Thus, application of the MW technology in the As contaminated area like Bangladesh could add another feather in the crown of the As remediation techniques and help to reduce the human health risk through As contaminated food grain. However, further research needed before adopting the MW soil heating technique where different aspects should be explored such as response of MW technology in the field condition, scaling up the MW equipment for field application, cost of MW application in the field at farmers level, long-term effect of MW treatment on soil nutrient dynamics, soil organic matter and soil biota and sustainability of the MW technology in field condition. Also, sawdust biochar could be used in combination with MW soil heating for As phytotoxicity alleviation; however, more study needed to set the appropriate rate of biochar application.

Among a wide range of factors that can affect animals’ wellbeing, stress levels and health status have been identified as relevant factors in production animals. The increasing awareness about animal welfare and the impact that it has on farm productivity has been promoting scientific research and the development of novel and less invasive methods to monitor animals and obtain measurements that can be used as indicators to assess animal wellbeing, including stress and health status. Research presented in this thesis deals with red-green-blue (RGB) and thermal infrared (TIR) imagery, and computer vision techniques, as non-invasive tools to measure physiological changes in cattle and pigs to assist in the assessment of their stress and health. One study was conducted to evaluate the performance of the proposed methods, which were used to analyse RGB and TIR imagery to measure eye-temperature, heart rate (HR) and respiration rate (RR) in cattle. The study was performed in a robotic dairy farm, where TIR and RGB cameras recorded ten dairy cows during six handling procedures, across two consecutive days. Simultaneously, core body temperature, HR and RR were measured using standard methods for comparison with the data obtained from the recorded images using the developed algorithms. A feature tracking algorithm was developed to facilitate the processing of RGB videos, which showed an accuracy between 92% and 95% depending on the area analysed. From the physiological parameters analysed, the highest correlations were observed between eye-temperature and intravaginal temperature (r = 0.8; P<0.01), and between remote RR and the RR obtained from visual observations (r = 0.87; P<0.01). A further two studies were carried out to implement the proposed computer-based methods to remotely measure eye-temperature, heart rate and respiration rate of cattle, and to investigate whether these measures could be used to evaluate the physiological response of cattle to stressful situations and whether they could be used as predictors of beef quality. For these two studies, 215 beef cattle were recorded with RGB and TIR cameras on the farm and at the abattoir to obtain eye-temperature, HR, and RR measurements. Cuts of the respective beef were evaluated by consumers, and the ultimate pH (pHu) and meat colour were obtained from the respective carcasses. It was observed that the physiological variables of cattle were higher at the abattoir compared to the farm. Moreover, eye-temperature obtained on farm and at the abattoir were highly correlated. However, the results of these studies indicated that these measurements had low contribution when predicting beef quality. Finally, two studies were performed to investigate the use of the proposed computer vision methods with RGB and TIR imagery to monitor pigs and detect changes in eye-temperature, ear-base temperature, HR, and RR. The objective was to identify whether these physiological changes could assist in the early detection of pigs affected by respiratory disease. The first of these studies was performed under experimental conditions, where pigs were challenged with Actinobacillus pleuropneumoniae (APP). Images (TIR and RGB) were recorded after this challenge, and the data obtained was then compared between the group of pigs that presented clinical signs of respiratory disease and the group of pigs that were considered healthy. Clear changes in temperature and HR were observed six or more hours before the clinical observations identified sick animals. Conversely, changes in RR were detected in the last period of observations, around the time when clinical signs started to be present. The second of these experiments used different cameras and included improvements to the proposed methods to monitor pigs constantly and in a commercial setting. A total of 48 pigs were monitored between 9 and 20 weeks of age. Eye-temperature, HR and RR measurements were compared between the pigs that were identified as sick and those that were considered healthy. Similarly to what was observed in the previous study, changes in these parameters were identified before the clinical observations indicated signs of illness (up to 2 days before), where the earliest changes were observed in eye-temperature and HR, and the latest changes were observed in RR. This thesis provides evidence that computer vision techniques may be suitable as a non-invasive method for monitoring farm animals. Therefore, it prompts further investigation via controlled studies to continue the development and automatization of these techniques, leading to the improvement of science-based industry-relevant monitoring systems.

In dairy animals, the transition period, which spans from 3 weeks before to 3 weeks after parturition, is the most stressful time in their productive lives. This period is characterized by drastic physiological, metabolic, and endocrine adaptations to accommodate parturition and lactogenesis. Goats unable to adapt to this challenging time are more susceptible to infections and metabolic diseases, which might have a substantial impact on maternal health and productive efficiency beyond the transition period. An in-depth understanding of the biology of the transition period is essential for developing optimized strategies that could enhance milk yield without compromising herd health and welfare. While there is ample published information regarding the transition period in dairy cattle, to date, the endocrine and metabolic status of periparturient dairy goats has only been vaguely described in the literature. Therefore, the overall goal of this dissertation was to expand on previous knowledge of hormonal and metabolic regulation of energy metabolism during the transition period and to explore factors that might aggravate the metabolic burden of pregnancy and lactation in periparturient dairy goats. Thus, a series of studies were conducted in a large commercial goat dairy farm in Australia to 1) determine the effects of month of kidding, parity number, and litter size on lactation curves of dairy goats raised in intensive systems; 2) characterize temporal variations in circulating levels of selected hormones and metabolites involved in energy balance regulation during the transition period; 3) investigate the effects of level of milk production, parity number and litter size on maternal metabolic profile; 4) determine whether higher plasma concentrations of markers of negative energy balance are associated with inferior productive performance; and 5) determine whether differential productivity is related to differences in nutrient partitioning between high- and low-yielding goats. In the first part of this study, an analysis of the production data revealed that goats kidding in spring, in third/fourth parity, or carrying multiple fetuses produce more milk than their counterparts. Interestingly, although the month of kidding had the most significant impact on the shape of lactation curves, the magnitude of such impact increased with increasing parity number. Also, based on the concentration of key biomarkers of energy metabolism analyzed during this time, it was possible to conclude that nutritional deficit was increased with increasing milk yield, parity, and litter size (listed in order of importance) and that both pregnancy and lactation were less able to elicit lipomobilization in primiparous compared with multiparous goats. Further, the likelihood of early removal from the milking herd was significantly increased in goats with elevated blood levels of beta-hydroxybutyrate (BHB). On the other hand, contrasting studies in dairy cows, a positive association was observed between blood levels of non-esterified fatty acids (NEFA) and milk yield. Nevertheless, it was unclear what role, if any, the endocrine system played in the differential productivity in early lactation observed between high- and low-yielding goats. Therefore, in the second part of this study, goats of high and low milk yield were subjected to 3 metabolic challenges (glucose, insulin, and adrenocorticotropin hormone infusions) to determine if differential productivity is related to differences in some aspects of the regulation of nutrient partitioning in dairy goats. The results suggested that differences in milk yield, and overall production efficiency in early lactation, are primarily due to differences in insulin secretion and clearance rates rather than related to differences in peripheral tissue responsiveness to the effects of catabolic and anabolic hormones. In summary, the research within this thesis provides the first comprehensive overview of both lactation performance and the metabolic status of Australian dairy goats. Collectively, the novel findings presented here contribute to further the current understanding of various aspects of the regulation of energy metabolism in periparturient dairy goats. Just as important, this study also provides the local industry with robust and relevant information on the effects of several factors on the productive and metabolic responses of dairy goats during the transition period. Such information can assist with the optimization of farming practices and breeding plans, thereby accelerating increments in the national herd productivity.

Agricultural biotechnology, such as genetic modification, has been proposed as a way to face food security and climate change. All new crop varieties with altered genetics must be subjected to safety assessments to fulfil regulatory requirements, prior to marketing and/or commercial release. The aim of this thesis is to undertake part of the safety assessment of transgenic plants, using emerging molecular biology technologies. Initially, the molecular characterisation of two genetically modified plants were performed using long read DNA sequencing. Results demonstrate the capability of this technique to characterise transgenes located in complex and or repetitive regions of the plant genomes, in a fast and cost effective way with simple and robust bioinformatic pipelines that would be broadly applicable and accessible. Then, a reliable methodology was developed using droplet digital PCR tools for the detection of transgenes in a variety of complex pasture based products relevant to livestock industries. Later, a toxicological assessment of the high energy perennial ryegrass was performed using a metabolomics approach. The current study indicates that the new technologies can provide a highly reliable and efficient solution for the safety assessment. This thesis represents a contribution in the use of new technologies to improve the risk assessment procedure of genetically modified plants.

Microbes are a vital part of ecosystems and play key roles in the essential processes of the functioning. In agriculture, microbial ecology has wide reaching impacts on crop growth and quality commodity production. As a high value agricultural product, wine is a useful model for elucidating the effects of microbial ecology from the vineyard to the winery. Microbial growth and metabolism is an inherent component of wine production, influencing grapevine health and productivity, conversion of sugar to ethanol during fermentation, and the flavour, aroma and quality of finished wines. Recent advances in genetic sequencing and metagenomic approaches has extended our understanding of microbial distribution patterns and established the unique biogeography model in viticulture. While the contributions of microbial biogeography to wine metabolites and regional distinctiveness (known as terroir, a well-recognised and celebrated character in wine industry), and by which mechanisms, remain tenuous. This thesis focuses on the microbial biogeography of wine, the interplay between microbial patterns and affecting factors, and how these patterns drive wine quality and styles. I begin by investigating the distribution patterns of bacteria and fungi at large scale, and their roles in shaping wine characteristics. Samples were collected from vineyard soil, grape must, and wine ferments across six geographically separated wine-producing regions in southern Australia (~ 400 km). Soil and grape must microbiota exhibited distinctive regional patterns, as well as wine aroma profiles. Associations among soil and wine microbiota, abiotic factors (weather and soil properties), and wine regionality were modelled, highlighting that fungal communities was the most important driver of wine aroma profiles. Source tracking wine-related fungi in the vineyard suggests that soil is a source reservoir of grape- and must-associated fungi which might be translocated via xylem sap. I then move on to elucidate the fungal ecology within vineyards. Fungal communities were characterised over space and time that associated with the grapevine (grapes, flowers, leaves, roots, root zone soil) during the annual growth cycle (flowering, fruit set, veraison, and harvest). Fungi were significantly influenced by the grapevine habitat and plant development stage, with little influences from the geographic location (<5 km). The developmental stage of veraison, where grapes undergo a dramatic change in metabolism and start ripening process, saw a distinct shift in fungal communities. A core fungal microbiota of grapevines (based on abundance-occupancy models) existed over space and time which drove the seasonal community succession. Beyond coinciding with the changing plant metabolism and physiology, strong correlations with solar radiation and water status suggests that the core microbiota changes with respect to the changing environments during plant development. I further investigate fungal contributions to wine aroma profiles by quantifying multiple layers of fungi, combining metagenomics and population genetics. Fungal communities were characterised associated with Pinot Noir and Chardonnay grape must/juice and ferments coming from three wine estates (including 11 vineyards) in the Mornington Peninsula wine region. At this scale (< 12 km), fungal communities, yeast populations, and Saccharomyces cerevisiae populations differentiated between geographic origins (estate/vineyard), with influences from the grape variety. During spontaneous fermentation, growth and dominance of S. cerevisiae reshaped the fungal community and structured the biodiversity at strain level. Associations between fungal microbiota and wine metabolites highlights the primary role of S. cerevisiae in determining wine aroma profiles at sub-regional scale. Overall, this thesis provides a significant body of knowledge to the microbial ecology field. Using vineyards, grapes, and wine as a model system, these findings relate microbial biogeography, environments, and quality agricultural commodity production. It provides fundamental perspectives to conserve the biodiversity and functioning for sustainable agriculture under the changing climate.

Most of the lentil and field pea grown in Australia are exported to India and surrounding countries, to the Middle East, Turkey and North Africa. While each country may utilise pulses differently, common to all, is that quality is based on the visual characteristics of the whole-grain and split-pulse, and its cooking quality. One of the objectives of pulse-breeding programs is to ensure that the quality traits of new varieties align with the preferences defined by the export markets. Pulse-quality traits were historically determined using empirical tests to quantify seed size, colour, contamination and defects. Since many of these tests are time-consuming to perform, comprehensive quality evaluation is reserved for advanced germplasm. Therefore, adoption of rapid and objective methods would improve efficiency and consistency of quality evaluation and enable comprehensive assessment of early generation lines. Technological advances in digital imaging and machine learning has seen a broad application of machine vision to assess agricultural products. While there is extensive research in this field, there are still relatively few machine vision methods which have been developed for the quality-assessment of lentil and field pea grains. Within this study, rapid and objective methods were developed to assess three grain-traits, which related to visual characteristics of lentil and field pea and were identified to be important within breeding programs. The targeted applications were the classification of broad market classes of field pea, quantitation of bleaching discoloration within the ‘green pea’ market class and classification of split and dehulled fractions of lentil and field pea post milling. Machine vision algorithms were developed based on the analysis of multispectral images. Linear discriminant analysis, based on image-derived colour, shape and size features, was used for the classification of field pea market classes. The model was applied to sound and defective grain samples, achieving perfect classification of sound grain and distinguishing sound from defective grain with 97% accuracy. The extent of bleaching in green field pea samples was quantified through an objective model which was developed on visible reflectance spectra (spectrophotometric analysis) and subsequently adapted for image-based analysis of grain colour. The image-derived colour scores closely matched the spectrophotometric analysis and additionally enabled the distribution or uniformity of bleaching to be objectively quantified within each sample. Furthermore, through the image analysis scoring system, the relative susceptibility to bleaching, of each genotype, was also quantified. Milled fractions of lentil and field pea were classified through the application of artificial neural networks, where network architectures and inputs were compared. A convolutional neural network, trained on image-derived feature distributions, was found to be the most accurate and computationally efficient model. Machine vision is an expanding field of research which offers the potential for consistent, accurate and rapid product-quality evaluation. The results of this study demonstrate the efficacy of machine vision applications throughout the pulse value chain and particularly within germplasm enhancement programs. Adoption of machine vision systems can increase the capacity for comprehensive screening at all stages of breeding which is currently not practicable through standard assessment methods.

The recovery of P from organic waste streams (known as organic amendments, OA) is becoming increasingly popular. Besides a source of P, OA have also been reported to increase soil P availability and reduce P adsorption in acidic soil. The main mechanism involves the reduction in the soil P adsorption sites (especially Al and Fe) by the organic anion producing compounds of the OA. Organic anions form organometallic complexes in the soil to reduce P adsorption. The potential representative organic anion producing compounds of the OA are phenolic and carbonyl compounds. The phenolic and carbonyl compounds usually represent the aromatic (such as benzoic, hydroxybenzoic, protocatechuic acids etc) and aliphatic (such as oxalic, malic, citric etc) organic acids, respectively. This study aimed to investigate if these signature phenolics and carbonyl compounds of the OA can be used to predict their role in soil P availability for future prescriptive applications. An acidic soil (Red Chromosol) from the Rutherglen, northeast of Victoria, Australia was collected and waste from two different streams namely food waste and biosolid and their three different processed forms (untreated or raw, biochar and compost) were utilized as sources of OA in this study. Nuclear magnetic resonance (NMR) spectroscopy was utilized to identify forms of C (solid-state 13C NMR) and P compounds (solution-state 31P NMR) in the OA. The effect of OA on soil P availability was studied in a 110-day laboratory incubation study. Further, some selected representative compounds of phenolic and carbonyl C of OA (aromatic and aliphatic organic acids) were tested against soil P availability in another 110-day laboratory incubation experiment. Finally, a plant bioassay experiment with Triticale (genus Triticosecale) was conducted to understand the effect of both OA and organic acid on soil P availability and plant P uptake with or without the addition of external P. Results from incubation of OA with soil showed an increase in soil P availability (Olsen P) and a decrease in soil P buffering capacity, (PBC). An additional increase in soil Olsen P was observed above the total amount of Olsen P from OA that was added. It might imply that this additive increase of the soil Olsen P was due to the substitution of previously fixed P by the action of organic anions (coming from the dissociation of phenolic and carbonyl compounds) and formation of the stable organometallic complexes. This was further supported by a strong and positive correlation between the delta Olsen P (difference between observed and expected Olsen P) and phenolic and carbonyl C content of the OA. The phenolic and carbonyl C content of the OA also showed a significant correlation with the decrease of soil PBC (delta PBC, the difference between treatment and control). In both correlation studies, the ratio of phenolic to carbonyl C compounds of OA showed a strong correlation with soil P availability compared to their total abundance. The contrasting nature of phenolic and carbonyl compounds was speculated as to the reason why there was a high correlation between soil P availability and the ratio of phenolic to carbonyl C content of OA. The OA with a nearly equal abundance of phenolic to carbonyl C content showed a maximum increase in soil P availability. Therefore, it was concluded that the ratio of phenolic and carbonyl C content of OA could be used to predict P availability in acidic soil. In the next study, some naturally occurring aromatic organic acids (representative of the phenolic compounds) and aliphatic organic acids (representative of the carbonyl compounds) were added either individually or in combination (at 1:1 ratio of aliphatic and aromatic organic acids). The experimental results suggested that aliphatic organic acids were more effective in increasing soil P availability and decreasing soil PBC compared to aromatic organic acids. However, the effect of aliphatic organic acids on increasing soil P availability was prolonged when applied in combination with aromatic organic acids at 1:1 ratio. Therefore, this study concluded that the effect of an OA can be predicted based on their phenolic and carbonyl C content. Finally, the results from the plant bioassay experiment showed that the addition of OA increased the soil P availability irrespective of addition of external P to the soil. As hypothesized in the previous study, this increase in soil P availability after OA addition was expected to show a strong correlation with the ratio of phenolic to carbonyl C content of the OA. The correlation study between the soil P availability and the ratio of phenolic to carbonyl C content of the OA showed a moderate to weak correlation. The differences in those studies (laboratory incubation vs pot) were speculated as to the reason for obtaining this moderate to week correlation between the soil P availability and ratio of phenolic to carbonyl C content of the OA. In the plant bioassay experiment, OA and P were added simultaneously to the soil. Therefore, a competition between organic anions (which was coming from dissociation of organic acid compounds of OA) and P and was expected to increase P availability in the soil by reducing P adsorption. However, the preferential sorption of P by Al and Fe compared to organic anions was speculated as the main reason for observed moderate correlation. The phenolic and carbonyl C content of OA would correlate strongly with the soil P availability if OA were added first (which might reduce P sorption by forming organometallic complexes) and then P to the soil as also observed in previous study. Therefore, it was concluded that the phenolic and carbonyl C content of the OA would predict soil P availability better if OA was first added (which would form organometallic complexes) and then P added to the soil rather than adding both simultaneously. The addition of OA significantly increased the plant P uptake and showed a positive correlation with soil Olsen P. There it was concluded that soil Olsen P was a good indicator of plant P availability. In the plant bioassay experiment, organic acid treatments showed no significant effect on soil P availability and plant P uptake compared to the control. This might be due to the addition of organic acids at 10 times lower concentration in this experiment compared to the previous incubation experiment. In conclusion, this thesis showed that the ratio of the phenolic to carbonyl C content of the organic amendments could be used to predict the role of organic amendments on increasing soil P availability. The availability of fertilizer P could also be predicted by phenolic and carbonyl C content, if OA added first and then P added to the soil compared to their simultaneous addition. The OA with a nearly equal abundance of phenolic and carbonyl C content would have a maximum effect on increasing soil P availability. This knowledge would be beneficial for farmers, agricultural landholders and especially OA producers to assess the impact of their organic waste products on soil P availability in the quickest possible time based on the abundance of the signature C compounds (phenolic and carbonyl).