ORCID Profile
0000-0002-1535-8019
Current Organisations
Edith Cowan University
,
Department of Primary Industries and Regional Developement, Government of Western Australia
,
Murdoch University
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Publications
Production of cracker biscuits using high-protein Australian Noodle Wheat (ANW)
Publisher: Elsevier BV
Date: 11-2021
A Neuronal Classification System for Plant Leaves Using Genetic Image Segmentation
Publisher: Sciencedomain International
Date: 10-01-2015
Effective ICTs in agricultural value chains to improve food security: An international perspective
Publisher: IEEE
Date: 12-2011
Impact of mid-season sulphur deficiency on wheat nitrogen metabolism and biosynthesis of grain protein.
Publisher: Springer Science and Business Media LLC
Date: 06-02-2018
DOI: 10.1038/S41598-018-20935-8
Abstract: Wheat ( Triticum aestivum ) quality is mainly determined by grain storage protein compositions. Sulphur availability is essential for the biosynthesis of the main wheat storage proteins. In this study, the impact of different sulphur fertilizer regimes on a range of agronomically important traits and associated gene networks was studied. High-performance liquid chromatography was used to analyse the protein compositions of grains grown under four different sulphur treatments. Results revealed that sulphur supplementation had a significant effect on grain yield, harvest index, and storage protein compositions. Consequently, two comparative sulphur fertilizer treatments (0 and 30 kg ha −1 sulphur, with 50 kg ha −1 nitrogen) at seven days post-anthesis were selected for a transcriptomics analysis to screen for differentially expressed genes (DEGs) involved in the regulation of sulphur metabolic pathways. The International Wheat Genome Sequencing Consortium chromosome survey sequence was used as reference. Higher sulphur supply led to one up-regulated DEG and sixty-three down-regulated DEGs. Gene ontology enrichment showed that four down-regulated DEGs were significantly enriched in nitrogen metabolic pathway related annotation, three of which were annotated as glutamine synthetase. The Kyoto Encyclopedia of Genes and Genomes pathway enrichment identified three significantly enriched pathways involved in nitrogen and amino acid metabolism.
A survey of deep learning techniques for weed detection from images
Publisher: Elsevier BV
Date: 05-2021
Noodles made from high amylose wheat flour attenuate postprandial glycaemia in healthy adults
Publisher: MDPI AG
Date: 22-07-2020
DOI: 10.3390/NU12082171
Abstract: Previous research has not considered the effect of high amylose wheat noodles on postprandial glycaemia. The aim of the study is to investigate the effect of consumption of high amylose noodles on postprandial glycaemia over 2-h periods by monitoring changes in blood glucose concentration and calculating the total area under the blood glucose concentration curve. Twelve healthy young adults were recruited to a repeated measure randomised, single-blinded crossover trial to compare the effect of consuming noodles (180 g) containing 15%, 20% and 45% amylose on postprandial glycaemia. Fasting blood glucose concentrations were taken via finger-prick blood s les. Postprandial blood glucose concentrations were taken at 15, 30, 45, 60, 90 and 120 min. Subjects consuming high amylose noodles made with flour containing 45% amylose had significantly lower blood glucose concentration at 15, 30 and 45 min (5.5 ± 0.11, 6.1 ± 0.11 and 5.6 ± 0.11 mmol/L p = 0.01) compared to subjects consuming low amylose noodles with 15% amylose (5.8 ± 0.12, 6.6 ± 0.12 and 5.9 ± 0.12 mmol/L). The total area under the blood glucose concentration curve after consumption of high amylose noodles with 45% amylose was 640.4 ± 9.49 mmol/L/min, 3.4% lower than consumption of low amylose noodles with 15% amylose (662.9 ± 9.49 mmol/L/min), p = 0.021. Noodles made from high amylose wheat flour attenuate postprandial glycaemia in healthy young adults, as characterised by the significantly lower blood glucose concentration and a 3.4% reduction in glycaemic response.
An eAgriculture-Based Decision Support Framework for Information Dissemination
Publisher: IGI Global
Date: 10-2010
DOI: 10.4018/JHCITP.2010100101
Abstract: The ability of farmers to acquire knowledge to make decisions is limited by the information quality and applicability. Inconsistencies in information delivery and standards for the integration of information also limit decision making processes. This research uses a similar approach to the Knowledge Discovery in Databases (KDD) methodology to develop an ICT based framework which can be used to facilitate the acquisition of knowledge for farmers’ decision making processes. This is one of the leading areas of research and development for information technology in an agricultural industry, which is yet to utilize such technologies fully. The Farmer Knowledge and Decision Support Framework (FKDSF) takes information provided to farmers and utilizes processes that deliver this critical information for knowledge acquisition. The framework comprises data capture, analysis, and data processing, which precede the delivery of the integrated information for the farmer. With information collected, captured, and validated from disparate sources, according to defined sets of rules, data mining tools are then used to process and integrate the data into a format that contributes to the knowledge base used by the farmer and the agricultural industry.
Haplotype analyses in wheat for complex traits: Tracking the chromosome 3B and 7B regions associated with late maturity alpha amylase (LMA) in breeding programs
Publisher: CSIRO Publishing
Date: 2009
DOI: 10.1071/CP08340
Abstract: The quantitative trait loci (QTLs) on chromosomes 7BL and 3BS from Halberd have been used as a major source of tolerance to late maturity α amylase (LMA) within Australian wheat breeding programs. New simple sequence repeat (SSR) markers identified from the sequencing of Bacterial Artificial Chromosome (BAC) clones from the wheat cv. Renan library, and known SSRs, were used to characterise these major QTLs. The reduction or elimination of the LMA defect in wheat cultivars is a major goal for wheat breeding programs and is confounded by the complexity in measuring the trait unambiguously. In this haplotyping study focussing on two significant chromosomal regions, markers and combinations of markers were investigated for their ability to discriminate between 39 Australian and Mexican wheat lines differing in levels of LMA. Genetic relationships among these wheat lines estimated by cluster analysis of molecular marker data were combined with phenotypic information in order to calibrate the genotypes of the wheat lines against their LMA phenotype. It was evident that some SSRs from the respective QTLs had greater discriminating power than others to identify LMA phenotypes. Discrimination was not, however, absolute and a statistical analysis of the data defined a risk factor associated with particular combinations of alleles, for use in early selection or backcrossing.
Heritability of resistance to brown spot and root rot of narrow-leafed lupins caused by Pleiochaeta setosa (Kirchn.) Hughes in field experiments
Publisher: Wiley
Date: 09-1997
Molecular genetic mapping of NIR spectra variation
Publisher: Elsevier BV
Date: 2012
Maternal Healthcare Experiences of and Challenges for Women with Physical Disabilities in Low and Middle-Income Countries: A Review of Qualitative Evidence
Publisher: Springer Science and Business Media LLC
Date: 04-2019
Extent of disease on high-resolution computed tomography lung is a predictor of decline and mortality in systemic sclerosis-related interstitial lung disease
Publisher: Oxford University Press (OUP)
Date: 13-10-2013
Development and Testing of an IoT Spectroscopic Nutrient Monitoring System for Use in Micro Indoor Smart Hydroponics
Publisher: MDPI AG
Date: 02-2023
DOI: 10.3390/HORTICULTURAE9020185
Abstract: Nutrient monitoring in Micro Indoor Smart Hydroponics (MISH) relies on measuring electrical conductivity or total dissolved solids to determine the amount of nutrients in a hydroponic solution. Neither method can distinguish concentrations of in idual nutrients. This study presents the development and testing of a novel spectroscopic sensor system to monitor nitrogen changes in nutrient solutions for MISH systems. The design phase determined that using an inexpensive AS7265x Internet of Thing (IoT) sensor in a transflective spectroscopic application could effectively detect small fluctuations in nitrogen concentraation. Next, a novel transflective sensor apparatus was designed and constructed for use in a MISH system experiment, growing lettuce over 30 days. Two solution tanks of different sizes, 80 L and 40 L, were used in the deployment of the system. S les from each tank were analyzed for nitrogen concentration in a laboratory, and multilinear regression was used to predict the nitrogen concentrations using the AS7265x 18 spectral channels recorded in the sensor system. Significant results were found for both tanks with an R2 of 0.904 and 0.911 for the 80 and 40 L tanks, respectively. However, while the use of all wavelengths produced an accurate model, none of the in idual wavelengths were indicative on their own. These findings indicate that the novel system presented in this study successfully and accurately monitors changes in nitrogen concentrations for MISH systems, using low cost IoT sensors.
Wheat quality requirements for char siew bao made from australian soft wheat
Publisher: Wiley
Date: 05-2013
A survey of computer-based vision systems for automatic identification of plant species
Publisher: Journal of Agricultural Informatics
Date: 13-01-2015
DOI: 10.17700/JAI.2015.6.1.152
Abstract: Plants are unavoidable for the existence of most living things on this planet. There are many needs of both humans and animals that are satisfied by materials from plants. These needs include food, shelter, and medicine. The ability to identify plants is highly important in several applications, including conservation of endangered plant species, rehabilitation of lands after mining activities and differentiating crop plants from weeds. This paper reviews several applications and works that have been made towards computer-based vision systems for automatic identification of plant species. It shows the various techniques alongside their descriptions. It portrays how future researchers in this field (especially precision agriculture or agricultural informatics) may move the knowledge domain forward.
Zernike Moments and Genetic Algorithm: Tutorial and Application
Publisher: Sciencedomain International
Date: 10-01-2014
Molecular characterisation of the NAM-1 genes in bread wheat in Australia
Publisher: CSIRO Publishing
Date: 2018
DOI: 10.1071/CP18273
Abstract: The wheat NAM-B1 and NAM-A1 genes are positively associated with grain protein content (GPC) in wheat. We conducted molecular characterisation of the NAM-1 genes in 51 Australian wheat varieties (Triticum aestivum L.), with the aim of improving GPC and nitrogen-usage efficiency in Australian wheat. In summary, the wild type NAM-B1 gene, which originated from Israel, was identified in two Australian wheat varieties. Five varieties contained a deletion allele, whereas the majority (43) harboured a non-functional NAM-B1 allele and one variety contained both functional and non-functional alleles. Twenty-six Australian wheat varieties contained the NAM-A1a haplotype, which was similar to its well-characterised homoeolog NAM-B1 wild type and associated with high GPC. The NAM-D1 gene in the 51 wheat varieties was also characterised, and no gene variation in the exon regions was noted only two single-nucleotide polymorphisms in introns 1 and 2 were found among the 51 varieties.
An evaluation of the efficacy of Doppler flow velocity waveform analysis as a screening test in pregnancy
Publisher: Elsevier BV
Date: 02-1990
DOI: 10.1016/0002-9378(90)90396-O
Abstract: In a prospective double-blind study of 535 medium-risk pregnancies, growth data obtained by ultrasonography and Doppler flow velocity waveform systolic to diastolic ratios were recorded at 18, 24, 28, and 34 weeks' gestation. A significant association was observed between uteroplacental systolic to diastolic ratios at 24 weeks' gestation and subsequent fetal hypoxia with a sensitivity of 24.0% and a specificity of 93.9%. However, 70% of abnormal results were not followed by fetal hypoxia. Umbilical artery systolic to diastolic ratios at 24, 28, and 34 weeks' gestation were found to be predictive of intrauterine growth retardation. This predictive capability was enhanced in those growth-retarded fetuses in which hypoxia developed, but was weak when umbilical artery systolic to diastolic ratios were evaluated as primary screening tests for fetal hypoxia. The results confirm a role for Doppler systolic to diastolic ratios in the evaluation of high-risk pregnancies but do not support a role for their use as primary screening tests in low-risk obstetric populations.
Genomics: Plant genetic improvement
Publisher: Elsevier
Date: 2014
Solubility variation of wheat dough proteins: A practical way to track protein behaviors in dough processing
Publisher: Elsevier BV
Date: 05-2020
DOI: 10.1016/J.FOODCHEM.2019.126038
Abstract: To understand wheat dough protein behavior under dual mixing and thermal treatment, solubility of Mixolab-dough proteins were investigated using nine extraction buffers of different dissociation capacities. Size exclusion high performance liquid chromatography (SE-HPLC) and two-dimensional gel electrophoresis (2-DGE) demonstrated that overall changes of protein fractions and dynamic responses of specific proteins during dough processing were well reflected by their solubility variations. After starch pasting, the abundance of 0.5 M NaCl extractable proteins were decreased except for six protein groups including α-amylase inhibitors and superoxide dismutase (SOD). The solubility loss of glutenin proteins at C3 (32 min 80 ℃) was mainly ascribed to the un-extractable HMW-GSs, LMW-GSs, globulin and triticin, while the extract yield of α-, β-, γ-gliadins and avenin-like proteins (ALPs) increased after starch pasting. Differential responses of dough proteins to extraction systems provides the basis for further exploring wheat protein dynamics in processing.
A computer-based vision systems for automatic identification of plant species using kNN and genetic PCA
Publisher: Journal of Agricultural Informatics
Date: 29-06-2015
DOI: 10.17700/JAI.2015.6.2.164
Abstract: Precision farming involves integration of different areas of disciplines to lower production costs and improve productivity. One major arm of precision farming or agriculture is the development of computer-based vision systems for automatic identification of plant species. This work involves application of k Nearest Neighbour (kNN) and genetic principal component analysis (GA-PCA) for the development of computer-based vision systems for automatic identification of plant species. As the first contribution, several image descriptors were extracted from the images of plants found in the Flavia dataset. Lots of these image features are affine maps and amalgamation of such massive features in one study is a novel idea. These descriptors are Zernike Moments (ZM), Fourier Descriptors (FDs), Lengendre Moments (LM) Hu 7 Moments, Texture, Geometrical properties and colour features. The GA-PCA (1907 x 41) feature space improved the classification accuracy of kNN from 84.98% to 88.75%.
Parental factors affecting respiratory function during the first year of life
Publisher: Wiley
Date: 05-2000
DOI: 10.1002/(SICI)1099-0496(200005)29:5<331::AID-PPUL1>3.0.CO;2-A
Abstract: In a prospective, longitudinal, population-based cohort study of familial and environmental influences on the development of wheezing respiratory illness in early childhood, we identified infant length, weight, gender, and exposure to maternal cigarette smoking as significant determinants of lung function during the first year of life. A cohort of 237 infants (106 females: 131 males) was evaluated, and 496 lung function measurements were made between the ages of 1-12 months. Respiratory function was assessed using the rapid thoracic compression technique to obtain maximum expiratory flow at functional residual capacity (V'maxFRC). Parental history of asthma and smoking habits during pregnancy were obtained by questionnaire. Data were analyzed using a longitudinal random effects model. Infants with a parental history of asthma and/or in utero passive smoke exposure were compared to a reference group of infants who had no parental history of asthma and in whom neither parent smoked pre- or postnatally. Boys were found to have a consistently lower V'maxFRC (-21.05 mL.s(-1)) throughout the first year of life in comparison to girls (P < 0.05). Maternal smoking during pregnancy was associated with a lower V'maxFRC in both genders in comparison to unexposed infants (P < 0.05). V'maxFRC was unaffected by parental history of asthma. Gender-specific normative equations for V'maxFRC throughout the first year of life were derived for the infant cohort as a whole and also for subgroups of infants, based on parental asthma and smoking history. We conclude that lung function during the first year of life differs between genders and is adversely affected by in utero passive tobacco smoke exposure. Gender-specific predictive equations for V'maxFRC should be used during infancy.
The inclusion of N-terminal pro-brain natriuretic peptide in a sensitive screening strategy for systemic sclerosis-related pulmonary arterial hypertension: A cohort study
Publisher: Springer Science and Business Media LLC
Date: 2013
DOI: 10.1186/AR4383
Overcoming the barriers of combining early flowering and anthracnose resistance in white lupin (Lupinus albus L.) for the Northern Agricultural Region of Western Australia
Publisher: CSIRO Publishing
Date: 2013
DOI: 10.1071/CP13249
Abstract: White lupin (Lupinus albus L.) is an important grain legume crop in Australia. The anthracnose incursion in the mid-1990s wiped out the white lupin industry in Western Australia (WA). Since then, incorporation of anthracnose resistance has been a major focus in white lupin breeding. After a series of experiments and targeted breeding in WA, high-yielding anthracnose-resistant genotypes were developed. One of these lines, Amira, was released in 2012 as a replacement for the then-benchmark variety Andromeda. Amira is high-yielding and early-maturing and it has substantially improved resistance to anthracnose compared with Andromeda. Its yield and grain quality are similar to Kiev Mutant and it will be suitable for growing in parts of the Northern Agricultural Region of WA where anthracnose risk is moderate to low. With the adoption of this new variety, reliable production of white lupin can recommence in WA. The growing season in WA is characterised by terminal drought, and early flowering is as important as anthracnose resistance. However, combining these traits was difficult and their combination was not achieved at a desired level in earlier work. The incorporation of the early-flowering trait from a different genetic source from France demonstrated that it is possible to combine these traits at an appropriate level. There was no genetic linkage between the two traits, and consequently, new genotypes with earlier phenology and higher levels of resistance than Amira were developed. The combination of early flowering and anthracnose resistance represents a breakthrough that will significantly improve the adaptation and profitability of white lupin production in WA.
Proteomic profiling of developing wheat heads under water-stress.
Publisher: Springer Science and Business Media LLC
Date: 17-07-2020
Impact and mechanism of sulphur-deficiency on modern wheat farming nitrogen-related sustainability and gliadin content
Publisher: Springer Science and Business Media LLC
Date: 06-08-2021
DOI: 10.1038/S42003-021-02458-7
Abstract: Two challenges that the global wheat industry is facing are a lowering nitrogen-use efficiency (NUE) and an increase in the reporting of wheat-protein related health issues. Sulphur deficiencies in soil has also been reported as a global issue. The current study used large-scale field and glasshouse experiments to investigate the sulphur fertilization impacts on sulphur deficient soil. Here we show that sulphur addition increased NUE by more than 20% through regulating glutamine synthetase. Alleviating the soil sulphur deficiency highly significantly reduced the amount of gliadin proteins indicating that soil sulphur levels may be related to the biosynthesis of proteins involved in wheat-induced human pathologies. The sulphur-dependent wheat gluten biosynthesis network was studied using transcriptome analysis and amino acid metabolomic pathway studies. The study concluded that sulphur deficiency in modern farming systems is not only having a profound negative impact on productivity but is also impacting on population health.
Hybridisation-based target enrichment of phenology genes to dissect the genetic basis of yield and adaptation in barley
Publisher: Wiley
Date: 06-12-2019
DOI: 10.1111/PBI.13029
Survival and Hunting Mortality of Pacific Black Ducks and Grey Teal
Publisher: JSTOR
Date: 1993
DOI: 10.2307/3808998
Signatures for torque variation in wheat dough structure are affected by enzymatic treatments and heating
Publisher: Elsevier BV
Date: 06-2020
Associations of NAM-A1 alleles with the onset of senescence and nitrogen use efficiency under Western Australian conditions
Publisher: Springer Science and Business Media LLC
Date: 24-09-2018
NAM gene allelic composition and its relation to grain-filling duration and nitrogen utilisation efficiency of Australian wheat
Publisher: Public Library of Science (PLoS)
Date: 15-10-2018
Wheat grain protein accumulation and polymerization mechanisms driven by nitrogen fertilization.
Publisher: Wiley
Date: 23-10-2018
DOI: 10.1111/TPJ.14096
Abstract: In wheat (Triticum aestivum) grain yield and grain protein content are negatively correlated, making the simultaneous increase of the two traits challenging. Apart from genetic approaches, modification of nitrogen fertilization offers a feasible option to achieve this aim. In this study, a range of traits related to nitrogen-use efficiency in six Australian bread wheat varieties were investigated under different nitrogen treatments using 3-year multisite field trials. Changes in the in idual storage protein composition were detected by high-performance liquid chromatography. Our results indicated that wheat grain yield and grain protein content reacted similarly to nitrogen availability, with grain yield being slightly more sensitive than grain protein content, and that genotype is a vital determinant of grain protein yield. Measurement of the glutamine synthetase activity of flag leaves and developing grains revealed that high nitrogen availability prompted the participation of glutamine in biological processes. In addition, a more significant accumulation of gluten macropolymer was observed under the high-nitrogen treatment from 21 days post-anthesis, and the underlying mechanism was elucidated by a comparative proteomics study. A yeast two-hybrid experiment confirmed this mechanism. The results of this study revealed that peptidyl-prolyl cis-trans isomerase (PPIase) was SUMOylated with the assistance of small ubiquitin-related modifier 1 and that high nitrogen availability facilitated this connection for the subsequent protein polymerization. Additionally, luminal-binding protein 2 in the endoplasmic reticulum played a similar role to PPIase in the aggregation of protein under high-nitrogen conditions.
The effectiveness of workplace health promotion in low- and middle-income countries
Publisher: Oxford University Press (OUP)
Date: 08-09-2019
Abstract: Although many literature reviews synthesize literature regarding workplace health promotion (WHP) interventions, systematic reviews on the effectiveness of and factors influencing the operation of WHP activities in low- and middle-income countries (LMIC) are scarce. Therefore, we systematically reviewed evaluation studies to examine the effectiveness and factors related to the implementation of WHP programmes in LMIC. Twenty-six peer-reviewed and grey evaluation studies, published before November 2017, were included from electronic databases (PubMed, The Cochrane Library, PsycINFO, EMBASE and Web of Science) and manual searching. The results revealed that WHP intervention in LMIC was effective in reducing health risks in a wide range of industries and settings, including in resource-poor contexts such as small enterprises and the manufacturing industry. The main factors positively influencing the effectiveness of the intervention are long intervention time period, and needs-based and active intervention strategies. In addition, commitment from workplace leaders, the involvement of workers and support from authorities and professionals are factors contributing to a successful WHP programme. However, the evidence regarding the effectiveness of WHP in LMIC regarding the health outcomes and business productivity is inconclusive due to the several remaining methodological limitations. Future developments of more rigorous methods of evaluating the effectiveness of WHP activities should be addressed to produce higher-quality evidence that would inform future practice.
Spectroscopic and chemical fingerprints in malted barley
Publisher: Elsevier BV
Date: 09-2012
Adaptalight: An Inexpensive PAR Sensor System for Daylight Harvesting in a Micro Indoor Smart Hydroponic System
Publisher: MDPI AG
Date: 25-01-2022
DOI: 10.3390/HORTICULTURAE8020105
Abstract: Environmental changes and the reduction in arable land have led to food security concerns around the world, particularly in urban settings. Hydroponic soilless growing methods deliver plant nutrients using water, conserving resources and can be constructed nearly anywhere. Hydroponic systems have several complex attributes that need to be managed, and this can be daunting for the layperson. Micro Indoor Smart Hydroponics (MISH) leverage Internet of Things (IoT) technology to manage the complexities of hydroponic techniques, for growing food at home for everyday citizens. Two prohibitive costs in the advancement of MISH systems are power consumption and equipment expense. Reducing cost through harvesting ambient light can potentially reduce power consumption but must be done accurately to sustain sufficient plant yields. Photosynthetic Active Radiation (PAR) meters are commercially used to measure only the light spectrum that plants use, but are expensive. This study presents Adaptalight, a MISH system that harvests ambient light using an inexpensive AS7265x IoT sensor to measure PAR. The system is built on commonly found IoT technology and a well-established architecture for MISH systems. Adpatalight was deployed in a real-world application in the living space of an apartment and experiments were carried out accordingly. A two-phase experiment was conducted over three months, each phase lasting 21 days. Phase one measured the IoT sensor’s capability to accurately measure PAR. Phase two measured the ability of the system to harvest ambient PAR light and produce sufficient yields, using the calibrated IoT sensor from phase one. The results showed that the Adaptalight system was successful in saving a significant amount of power, harvesting ambient PAR light and producing yields with no significant differences from the control. The amount of power savings would be potentially greater in a location with more ambient light. Additionally, the findings show that, when calibrated, the AS7265x sensor is well suited to accurately measure PAR light in MISH systems.
N-terminal pro-brain natriuretic peptide in a novel screening algorithm for pulmonary arterial hypertension in systemic sclerosis: a case-control study
Publisher: Springer Science and Business Media LLC
Date: 2012
DOI: 10.1186/AR3876
Doppler flow velocity waveform analysis in high risk pregnancies: a randomized controlled trial
Publisher: Wiley
Date: 10-1991
DOI: 10.1111/J.1471-0528.1991.TB15332.X
Abstract: To test whether the introduction of Doppler waveform analysis into the ultrasound department of a tertiary level hospital reduces neonatal morbidity and improves obstetric management. A randomized controlled trial. Department of Ultrasound, King Edward Memorial Hospital, Perth, Western Australia. 505 women with pregnancy abnormalities referred to an ultrasound department for fetal investigation during the third trimester. Continuous wave Doppler studies of umbilical and uteroplacental arterial circulations. Results were revealed to patients and clinicians. Principal end point was the duration of neonatal stay in hospital other end points included the number and type of fetal heart rate monitoring studies, obstetric interventions, frequency of fetal distress, birthweight, Apgar scores and need for neonatal intensive care. There was no effect on the duration of neonatal stay in hospital. Small trends in obstetric management were observed with study group patients having fewer contraction stress tests, less likelihood of antepartum fetal distress, and more likelihood of fetal distress after induction of labour leading to emergency caesarean section. Depressed Apgar scores were more frequent in the study group. Introduction of Doppler waveform studies did not result in reduced neonatal morbidity but did have a small effect on obstetric management. For each institution the role of Doppler studies in late pregnancy will be influenced by the usage of other tests of fetal welfare already entrenched in clinical practice.
Related Organisations
Department Of Primary Industries And Regional Developement, Government Of Western Australia
Location: Australia
Related Funding Activities
No related grants have been discovered for Dean Diepeveen.