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C D Grant

Publications and source records attributed to C D Grant.

5 recordsLinked to original sources
PubMed2006

Estimating the unknown components of nutrient mass balances for forestry plantations in mine rehabilitation, upper Hunter Valley, New South Wales, Australia.

Commercial forestry plantations as a postmining land use in the Upper Hunter Valley of New South Wales, Australia are restricted by both the poor nutrient availability of mining substrates and low regional rainfall. An experiment was conducted to investigate whether municipal waste products and saline groundwater from coal mining operations could improve early tree growth without impacting on the environment through salt accumulation and/or nutrient enrichment and changes in groundwater quality. Potential impacts were investigated by quantifying the nutrient cycling dynamics within the plantation using an input-output mass balance approach for exchangeable calcium (Ca(2+)), exchangeable magnesium (Mg(2+)), exchangeable potassium (K(+)), exchangeable sodium (Na(+)), nitrogen (N), and phosphorus (P). Measured inputs to and outputs from the available nutrient pool in the 0-30 cm of the overburden subsystem were used to estimate the net effect of unmeasured inputs and outputs (termed "residuals"). Residual values in the mass balance of the irrigated treatments demonstrated large leaching losses of exchangeable Ca, Mg, K, and Na. Between 96% and 103% of Na applied in saline mine-water irrigation was leached below the 0-30-cm soil profile zone. The fate of these salts beyond 30 cm is unknown, but results suggest that irrigation with saline mine water had minimal impact on the substrate to 30 cm over the first 2 years since plantation establishment. Accumulations of N and P were detected for the substrate amendments, suggesting that organic amendments (particularly compost) retained the applied nutrients with very little associated losses, particularly through leaching.

Calcium↗
PubMed1998

PTEN/MMAC1 is infrequently mutated in pT2 and pT3 carcinomas of the prostate.

Deletion of the q23-24 region of human chromosome 10 is one of the most frequent genetic alterations in prostate cancer, suggesting that inactivation of a tumor suppressor gene in this region is involved in the development or progression of this carcinoma. A candidate gene, PTEN/MMAC1, has been identified from this chromosomal region; mutations of this gene have been found in various advanced tumors and cell lines including those of prostate cancer. To further define the role of PTEN/MMAC1 in the development of prostate cancer and its spectrum of genetic alterations, we analysed 40 pT2 or pT3 prostate tumors for allelic loss, mutations, and homozygous deletions using PCR-based methods. Six tumors showed loss of heterozygosity for one of the ten markers analysed, while one tumor showed loss of two markers. None of the markers within PTEN/MMAC1 was lost. Direct sequencing of PCR amplified exons and intron/exon junctions of all 40 tumors revealed three sequence variants, one of which was a point mutation in exon 9, while the other two were polymorphisms. Using multiplex PCR, no homozygous deletions were detected in any of the neoplasms. Our results showing a low frequency of alterations of PTEN/MMAC1 in pT2 and pT3 prostate cancers suggest that this gene plays an insignificant role in the development of most low stage carcinomas of the prostate.

Adult↗
PubMed1984

Error pattern and item order on Halstead's Speech Sounds Perception Test.

Examined the possibility that the previously reported pattern of errors on the Speech Sounds Perception Test could be explained on the basis of learning (N = 30). This possibility was examined by altering the order of presentation of subtests so that the series with the highest mean error scores in the previous study were moved to the positions in which fewest errors had been observed previously. It was found that in spite of the alteration of order of presentation, the subtests that had the greatest number of errors in the previous study again had the largest mean errors. Conversely, the subtests with the lowest mean errors previously again had the lowest mean errors. It was concluded that order of administration did not influence the number of errors on each subtest and that therefore the observed pattern could not be explained on the basis of learning. Further data were presented that suggested a relationship between the mean number of errors on each subtest and the number of items in each subtest with correct choices that were phonetically similar to real words.

Adult↗