976 resultados para Cotton, Josiah--1680-1756


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History of the Cotton family with biographical information on Cotton, his mother, father, siblings, and some distant relations, including information on the Rosseter family, his mother's family line; often with transcripts of family letters. Also contains further genealogical information added by a later hand.

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Pós-graduação em Educação Matemática - IGCE

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Sermons concerning passages from Luke, Matthew, Ephesians, Isaiah, and other books.

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Mode of access: Internet.

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Mode of access: Internet.

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Handwritten order to Penn Townsend to pay scholarship funds to student Josiah Cotton (Harvard AB 1722), signed by Benjamin Wadsworth, Thomas Foxcroft, Samuel Marshall, and Jonathan Williams.

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Handwritten order to Penn Townsend to pay scholarship funds to Rowland Cotton on behalf of his son Ward Cotton (Harvard AB 1729), signed by Thomas Foxcroft, John Marion, Samuel Marshall, and Jonathan Williams.

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Handwritten receipt signed by Daniel Marsh acknowledging payment by John Sale of scholarship funds.

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An automated gas sampling methodology has been used to estimate nitrous oxide (N2O) emissions from heavy black clay soil in northern Australia where split applications of urea were applied to furrow irrigated cotton. Nitrous oxide emissions from the beds were 643 g N/ha over the 188 day measurement period (after planting), whilst the N2O emissions from the furrows were significantly higher at 967 g N/ha. The DNDC model was used to develop a full season simulation of N2O and N2 emissions. Seasonal N2O emissions were equivalent to 0.83% of applied N, with total gaseous N losses (excluding NH3) estimated to be 16% of the applied N.

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Cotton is one of the most important irrigated crops in subtropical Australia. In recent years, cotton production has been severely affected by the worst drought in recorded history, with the 2007–08 growing season recording the lowest average cotton yield in 30 years. The use of a crop simulation model to simulate the long-term temporal distribution of cotton yields under different levels of irrigation and the marginal value for each unit of water applied is important in determining the economic feasibility of current irrigation practices. The objectives of this study were to: (i) evaluate the CROPGRO-Cotton simulation model for studying crop growth under deficit irrigation scenarios across ten locations in New South Wales (NSW) and Queensland (Qld); (ii) evaluate agronomic and economic responses to water inputs across the ten locations; and (iii) determine the economically optimal irrigation level. The CROPGRO-Cotton simulation model was evaluated using 2 years of experimental data collected at Kingsthorpe, Qld. The model was further evaluated using data from nine locations between northern NSW and southern Qld. Long-term simulations were based on the prevalent furrowirrigation practice of refilling the soil profile when the plant -available soil water content is<50%. The model closely estimated lint yield for all locations evaluated. Our results showed that the amounts of water needed to maximise profit and maximise yield are different, which has economic and environmental implications. Irrigation needed to maximise profits varied with both agronomic and economic factors, which can be quite variable with season and location. Therefore, better tools and information that consider the agronomic and economic implications of irrigation decisions need to be developed and made available to growers.