The Role of Biological Nitrogen Fixation in the Cacao Agroforestry System in Central Sulawesi Indonesia PDF Download
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Author: Ashabul Anhar
Publisher: Cuvillier Verlag
ISBN: 3865374735
Category :
Languages : en
Pages : 131
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Book Description
Author: Ashabul Anhar
Publisher: Cuvillier Verlag
ISBN: 3865374735
Category :
Languages : en
Pages : 131
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Book Description
Author: Daniel Stietenroth
Publisher: Universitätsverlag Göttingen
ISBN: 3938616202
Category :
Languages : en
Pages : 223
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Book Description
This international symposium featured three interconnected thematic foci of interdisciplinary research. They focussed on the changes in the extent and intensity of agricultural and forest land use in tropical forest margins and their implications for rural development and for conservation of natural resources such as biodiversity, soils and water. The symposium took place in Goettingen. Almost 130 international authors have contributed a short abstract and their adress.
Author: Bao-Le Quang
Publisher: Cuvillier Verlag
ISBN: 3865376274
Category :
Languages : en
Pages : 305
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Book Description
Author: Taye Kufa Obso
Publisher: Cuvillier Verlag
ISBN: 386727990X
Category :
Languages : en
Pages : 331
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Book Description
Coffea arabica, one of the economically most important crops worldwide, occurs naturally in the undergrowth of montane rainforests of Ethiopia. The study provides the first detailed ecophysiological investigations of wild coffee populations. It demonstrates the inter- and intra-regional variability in phenotypic and hydrological characteristics of wild coffee. The results reveal very different strategies of wild coffee seedlings for coping with drought stress. The ecophysiological diversity shows the importance of Ethiopian wild coffee populations as gene pools for future breeding programs, and underlines the need for an in-situ conservation strategy. The study includes recommendations for coffee forest management and the use of wild arabica coffee in Ethiopia.
Author: Maria Teresa Almanza Fandiño
Publisher: Cuvillier Verlag
ISBN: 3867271879
Category :
Languages : en
Pages : 131
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Book Description
Solanum quitoense (Lulo) from the northern Andes is a fruit with an attractive taste. It has a high export potential but its production is hampered by insufficient pollination. Studies on the reproductive system of Lulo revealed that, due to their poricidal anthers, the flowers need pollinators for self- and cross-pollination. Pollination by native bumblebees significantly increases fruit set and quality. Experiments show that colonies of Bombus atratus can be reared in captivity and used in Lulo fields for providing increased pollination services. Modeling based on data on colony development reveal larva/workers ratio and the supply of pollen as main parameters for improving the rearing method.
Author: Kassahun Tesfaye Geletu
Publisher: Cuvillier Verlag
ISBN: 3867279861
Category : Coffee
Languages : en
Pages : 160
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Book Description
Author: Damaris Achieng Odeny
Publisher: Cuvillier Verlag
ISBN: 3867279918
Category :
Languages : en
Pages : 115
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Book Description
Author: Nathaniel Kwamina Howard
Publisher: Cuvillier Verlag
ISBN: 3865376533
Category :
Languages : en
Pages : 175
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Book Description
Author: Carlos Javier Puig
Publisher: Cuvillier Verlag
ISBN: 3865376940
Category :
Languages : en
Pages : 181
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Book Description
Author: Akmal Akramkhanov
Publisher: Cuvillier Verlag
ISBN: 3865376541
Category :
Languages : en
Pages : 139
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Book Description
Soils of irrigated lands in the Aral Sea Basin are often plagued by high salinity,hampering profitable agriculture on these soils. In this context, the present study has three specific objectives: to identify techniques that enable a rapid estimation of soil salinity, to characterize its spatial distribution and to estimate its spatial distribution based on readily obtainable environmental parametersusing a Neural Network Model Approach. Topsoil salinity was highly variable atshort distances and terrain attributes were the most influential factors. The use of relationships between environmental attributes and soil salinity for upscaling spatial distribution of soil salinity from farm to district level proved to be satisfactory. A possible application is the development of salinity prediction toolsfor farm-level decision making.
