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1.
J Sci Food Agric ; 99(4): 1880-1887, 2019 Mar 15.
Article in English | MEDLINE | ID: mdl-30264542

ABSTRACT

BACKGROUND: A rapid non-destructive in-line grading system that can rapidly and accurately assess individual avocado fruit for internal quality attributes, including bruises and rots, would allow the avocado industry to provide a more consistent fruit quality to the consumer, optimise market distribution and ensure maximum yield for the producer and retailer. Fourier transform-near-infrared (FT-NIR) spectroscopy was investigated to detect bruises and rot susceptibility as an indication of shelf-life in avocado fruit at both the sprung stage of ripeness and eating ripe fruit. RESULTS: The classification models (principal component linear discriminant analysis, partial least squares discriminant analysis and support vector machine) for each of three growing seasons found hard green fruit that were deliberately bruised could be correctly detected with 70-78% accuracy after 2-5 h following impact damage and with 83-89% accuracy after 24 h. For eating ripe fruit, the accuracy was 60-100% after 2-5 h following impact damage and 66-100% after 24 h. The ability of the classification models to accurately predict rot development into two classes, ≤10% and >10% of flesh affected, ranged from 65% to 84% over the three growing seasons. When the rot classes were defined as ≤30% and >30% the accuracy was 69-77%. CONCLUSIONS: The results of the study highlight the potential of FT-NIR reflectance spectroscopy for application in a commercial, in-line setting for the non-destructive evaluation of impact damage and rot susceptibility of whole avocado fruit. The study indicates that fruit should be held for approximately 24 h prior to scanning to allow bruise development to occur, particularly in hard fruit (i.e., stage 2) prior to bruise assessment. © 2018 Society of Chemical Industry.


Subject(s)
Fruit/chemistry , Persea/chemistry , Spectroscopy, Near-Infrared/methods , Discriminant Analysis , Fruit/classification , Least-Squares Analysis , Persea/classification , Quality Control , Seasons , Support Vector Machine
2.
Mycologia ; 104(5): 1008-19, 2012.
Article in English | MEDLINE | ID: mdl-22505434

ABSTRACT

Across three tropical Australian sclerophyll forest types, site-specific environmental variables could explain the distribution of both quantity (abundance and biomass) and richness (genus and species) of hypogeous fungi sporocarps. Quantity was significantly higher in the Allocasuarina forest sites that had high soil nitrogen but low phosphorous. Three genera of hypogeous fungi were found exclusively in Allocasuarina forest sites including Gummiglobus, Labyrinthomyces and Octaviania, as were some species of Castoreum, Chondrogaster, Endogone, Hysterangium and Russula. However, the forest types did not all group according to site-scale variables and subsequently the taxonomic assemblages were not significantly different between the three forest types. At site scale, significant negative relationships were found between phosphorous concentration and the quantity of hypogeous fungi sporocarps. Using a multivariate information theoretic approach, there were other more plausible models to explain the patterns of sporocarp richness. Both the mean number of fungal genera and species increased with the number of Allocasuarina stems, at the same time decreasing with the number of Eucalyptus stems. The optimal conditions for promoting hypogeous fungi sporocarp quantity and sporocarp richness appear to be related to the presence and abundance of Allocasuarina (Casuarinaceae) host trees. Allocasuarina tree species may have a higher host receptivity for ectomycorrhizal hypogeous fungi species that provide an important food resource for Australian mycophagous animals.


Subject(s)
Eucalyptus/microbiology , Fungi/classification , Fungi/isolation & purification , Trees/microbiology , Australia , Biodiversity , Biomass , Fruiting Bodies, Fungal/metabolism , Fungi/metabolism , Nitrogen/metabolism , Phosphorus/metabolism , Soil , Spores/metabolism , Tropical Climate
3.
J Sci Food Agric ; 91(2): 233-8, 2011 Jan 30.
Article in English | MEDLINE | ID: mdl-20839265

ABSTRACT

BACKGROUND: The inability to consistently guarantee internal quality of horticulture produce is of major importance to the primary producer, marketers and ultimately the consumer. Currently, commercial avocado maturity estimation is based on the destructive assessment of percentage dry matter (%DM), and sometimes percentage oil, both of which are highly correlated with maturity. In this study the utility of Fourier transform (FT) near-infrared spectroscopy (NIRS) was investigated for the first time as a non-invasive technique for estimating %DM of whole intact 'Hass' avocado fruit. Partial least squares regression models were developed from the diffuse reflectance spectra to predict %DM, taking into account effects of intra-seasonal variation and orchard conditions. RESULTS: It was found that combining three harvests (early, mid and late) from a single farm in the major production district of central Queensland yielded a predictive model for %DM with a coefficient of determination for the validation set of 0.76 and a root mean square error of prediction of 1.53% for DM in the range 19.4-34.2%. CONCLUSION: The results of the study indicate the potential of FT-NIRS in diffuse reflectance mode to non-invasively predict %DM of whole 'Hass' avocado fruit. When the FT-NIRS system was assessed on whole avocados, the results compared favourably against data from other NIRS systems identified in the literature that have been used in research applications on avocados.


Subject(s)
Food Technology , Fruit/chemistry , Persea/chemistry , Spectroscopy, Fourier Transform Infrared/methods , Spectroscopy, Near-Infrared/methods , Agriculture , Fruit/standards , Least-Squares Analysis , Queensland , Seasons
4.
Mol Phylogenet Evol ; 50(2): 364-75, 2009 Feb.
Article in English | MEDLINE | ID: mdl-19056501

ABSTRACT

Ribosomal DNA internal transcribed spacers (ITS) and partial external transcribed spacers (ETSf) are popularly used to infer evolutionary hypotheses. However, there is generally little consideration given to the secondary structures of these small RNA molecules and their potential effects on sequence alignment and phylogenetic analyzes. Intergeneric relationships amongst three of the four major lineages in the Sapindaceae, the Dodonaeoideae, Hippcastanoideae and Xanthoceroideae were assessed by firstly, generating secondary structure predictions for ITS and partial ETSf sequences, and then these predictions were used to assist alignment of the sequences. Secondly, the alignment was analyzed using RNA specific models of sequence evolution that account for the variation in nucleotide evolution in the independent loops and covariating stems regions of the ribosomal spacers. These models and phylogeny drawn from these analyzes were compared with that from analyzes using 'traditional' 4-state models and previous plastid analyzes. These analyzes identified that paired-site models developed to deal specifically with stem structures in RNA encoding sequences more appropriately account for the evolutionary history of the sequences than traditional 4-state substitution models.


Subject(s)
DNA, Ribosomal Spacer/genetics , Evolution, Molecular , Nucleic Acid Conformation , Phylogeny , Sapindaceae/genetics , Models, Genetic , RNA, Plant/genetics , Sapindaceae/classification , Sequence Alignment , Sequence Analysis, RNA
5.
Mycol Res ; 110(Pt 12): 1441-54, 2006 Dec.
Article in English | MEDLINE | ID: mdl-17113276

ABSTRACT

The diversity and distribution of microfungal assemblages in leaf litter of a tropical Australian forest was assessed using two methods: (1) cultures were isolated using a particle filtration protocol (wet season 2001), and (2) fruit bodies were observed directly on leaf surfaces following incubation in humid chambers (wet and dry season of 2002). Four tree species were studied using both methods, namely Cryptocarya mackinnoniana (Lauraceae), Elaeocarpus angustifolius (Elaeocarpaceae), Ficus pleurocarpa (Moraceae), and Opisthiolepis heterophylla (Proteaceae). An additional two species, Darlingia ferruginea (Proteaceae) and Ficus destruens (Moraceae), were studied using direct observations. In total, fruiting bodies of 185 microfungal species were recorded on leaf surfaces (31-81 species per tree species), and 419 morphotypes were detected among isolates obtained by particle filtration (111-203 morphotypes per tree species). Although the observed microfungal diversity was higher with the particle filtration protocol, both methods concurred with respect to microfungal distributions. The overlap of microfungal species in pair wise comparisons of tree species was low (14-30%), and only 2 and 3% of microfungal species were observed in leaves of all tree species by particle filtration and by direct observations respectively. Multivariate analysis of data from direct observations confirmed the hypothesis that microfungal assemblages are strongly influenced by host phylogeny and are also affected by seasonal and site factors. The importance of host species in shaping microfungal distributions was also supported by the particle filtration data. Several taxa new to science, as well as some widespread saprotrophs, were detected on only one host. The underlying reasons for this affinity remain unclear, but we hypothesise that a number of factors may be involved such as fungal adaptation to plant secondary metabolites or the presence of a biotrophic phase in the fungus' life cycle.


Subject(s)
Ecosystem , Fungi/growth & development , Magnoliopsida/metabolism , Elaeocarpaceae/microbiology , Genetic Variation , Lauraceae/microbiology , Moraceae/microbiology , Multivariate Analysis , Plant Leaves/microbiology , Proteaceae/microbiology , Queensland , Tropical Climate
6.
Mycologia ; 96(5): 1074-87, 2004.
Article in English | MEDLINE | ID: mdl-21148927

ABSTRACT

During an investigation of saprobic microfungi in leaf litter from an Australian rainforest, five new species of Thozetella, namely T. acerosa, T. boonjiensis, T. falcata, T. gigantea and T. queenslandica, were identified and these are described and illustrated here. The morphology of specimens derived from cultures grown under different conditions and from natural substrata was compared. DNA sequence data of ITS regions within nuclear rDNA confirmed the morphological species concept and indicated that Thozetella species are anamorphs of the ascomycete genus Chaetosphaeria.

7.
Mycol Res ; 107(Pt 6): 748-56, 2003 Jun.
Article in English | MEDLINE | ID: mdl-12951801

ABSTRACT

Fungal species richness and abundance were assessed in leaf litter of the Australian rainforest tree Neolitsea dealbata (Lauraceae) using particle filtration. Results were comparable to the species richness and abundance reported in previous studies of tropical leaf litter microfungi. Eight leaf samples yielded 1365 strains. In an assessment of the effect of surface treatments, 736 strains in 112 morphotaxa were isolated, while 639 strains in 141 morphotaxa were recovered to assess the effect of surface treatment. Isolation rates in airdried leaves stored at room temperature for four weeks declined linearly, while the number of morphotaxa remained essentially constant for the first three weeks. Isolates of common morphotaxa were lost preferentially over those of rarer taxa. Such losses of isolates may be acceptable if only presence/absence data are collected. If frequency data are vital for community analysis, only fresh material should be utilised. Two surface sterilisation treatments were applied to N. dealbata leaves. An ethanol/sodium hypochlorite treatment was considered unsuitable because it significantly reduced the number of morphotaxa derived from the leaf lamina. A sodium hypochlorite treatment reduced the number of detectable propagules in the wash water without changing the number of morphotaxa derived from leaf particles in comparison with those of the control group.


Subject(s)
Ecosystem , Fungi/isolation & purification , Lauraceae/microbiology , Plant Leaves/microbiology , Tropical Climate , Filtration/methods , Fungi/classification , Mycological Typing Techniques , Particle Size , Plant Leaves/metabolism
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