Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 76,87
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 117,33
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K., 2008
ISBN 10: 3639014928 ISBN 13: 9783639014921
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Four organic materials namely cow dung, maize stover, M. pruriens vines and L. Leucocephala prunnings along with varying rates of inorganic fertilizer recommendation, were evaluated in the laboratory, the greenhouse and in the field for their impact on soil fertility and productivity in the Nigerian savanna, with maize as the test crop. Based on their nutrient concentrations and deduced ratios, cowdung, M pruriens vines and L. Leucocephala prunnings were characterized as high quality materials. Maize Stover may be considered as a low quality material. Principal component and correlation analysis confirmed this grouping of the organic materials. Applications of the organic materials alone led to 160 to 630% increases in maize grain yield relative to unamended control. The yield increases were in the following order: cow dung> M pruriens vines > L.leucocephala prunnings> maize stove. Combined applications of organic and inorganic fertilizers led to higher values of soil N and P, and better maintained the integrity of soil CEC without a corresponding decline in yield.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642646921 ISBN 13: 9783642646928
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Soil organic matter (SOM) represents a major pool of carbon within the biosphere, roughly twice than in atmospheric CO2. SOM models embody our best understanding of soil carbon dynamics and are needed to predict how global environmental change will influence soil carbon stocks. These models are also required for evaluating the likely effectiveness of different mitigation options. The first important step towards systematically evaluating the suitability of SOM models for these purposes is to test their simulations against real data. Since changes in SOM occur slowly, long-term datasets are required. This volume brings together leading SOM model developers and experimentalists to test SOM models using long-term datasets from diverse ecosystems, land uses and climatic zones within the temperate region.