Tapping practices and SAP yields of the NIPA palm (NIPA Fruticans) in Papua New Guinea

Methods of tapping the nipa palm (Nipa fruticans Wurmb.) were developed in the course of a 3-year study conducted in seven villages in the Baimuru district of the Gulf Province of Papua New Guinea. The experimental sites were located about 1.5–23 km from the sea. Their plant density varied from 4700 to 2400 palms per ha and the mean height of the plants was nearly 13 m.Five pre-treatment patterns were tested. Once-a-week treatment, maintained for 12 weeks, yielded an average of 155 ml of sap/24 h/palm for one month, whereas 3–5-times-a-week treatment, for 5–12 weeks, yielded an average of 1300 ml of sap. The duration of treatment depended on the state of development of the flower stalk. The pre-treatment pattern chosen as the standard was to bend the stalk 12 times in one direction, to pat with the hands the length of the stalk backwards and forwards 64 times, and to give the base four kicks; this was repeated four times a week.In the course of the 3-year study it was found that the average sugar content of fresh nipa sap is rather high, about 16.4% w/v, as compared with, for example, about 12% w/v of sugar cane. The results of the present study are discussed with reference to producing fuel alcohol from the Papua New Guinea nipa palm.     

Uncertainty in Agricultural CH<Subscript>4</Subscript> AND N<Subscript>2</Subscript>O Emissions from Finland – Possibilities to Increase Accuracy in Emission Estimates

According to the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol under it, industrial countries have to estimate their greenhouse gas emissions annually, and assess the uncertainties in these estimates. In Finland, agricultural methane (CH₄) and nitrous oxide (N_2O) emissions represent 7% of anthropogenic greenhouse gas emissions, and globally the share is much higher. Agriculture is one of the most uncertain emission categories (representing over 20% of greenhouse gas inventory uncertainty in Finland), due to both high natural variability of the emission sources and poor knowledge of the emission-generating processes. In this paper, we present an uncertainty estimate of agricultural CH₄ and N₂O emissions from Finland in 2002. Uncertainties were estimated based on measurement data, literature and expert judgement, and total uncertainty in agriculture was calculated using Monte Carlo simulation. According to the calculations, agricultural CH₄ and N₂O emissions from Finland were 3.7 to 7.8 Tg carbon dioxide (CO₂) equivalents, 5.4 Tg being the mean value.Estimates of CH₄ emissions are more reliable than those of N₂O. N₂O from agricultural soils was the most uncertain emission category, and the uncertainty was not reduced by using available national measurement data of N₂O fluxes. Sensitivity study revealed that the uncertainty in total agricultural inventory could be 7% points lower, if more accurate emission estimation methods were used, including 1) improved data collection in area estimates of organic soils, 2) climate-specific methods for N₂O from agricultural soils as already presented in literature, and 3) more detailed CH₄ estimation methods for enteric fermentation which can be achieved by investigating national circumstances and digestible systems of animals in more detail.     

False-negative prenatal exclusion of Wiskott-Aldrich syndrome by measurement of fetal platelet count and size

The study of the fetal platelet count and size can, according to the literature, be used for the prenatal diagnosis of the Wiskott-Aldrich syndrome (WAS). So far, no affected fetuses have been identified by this method. All pregnancies in which this method had been applied to resulted, as correctly predicted, in the birth of normal children. Here we report on a familial case of WAS where the haematological parameters failed to reveal the affected second child. Hence we assume that the platelet count and size of platelets remain normal in fetuses with WAS to the gestational age of 22 weeks and cannot be used for prenatal diagnosis.