Author: Junoo Kamal Tuladhar Publisher: Cuvillier Verlag ISBN: 3898739740 Category : Science Languages : en Pages : 130
Book Description
The low productivity of the rice-wheat cropping system in Nepal is associated with a low efficiency of applied mineral N in rice. The aquatic fern Azolla was used to reduce N losses via ammonia volatilization from the flooded lowland rice in farmers' field conditions in Nepal. The Azolla cover changed the floodwater chemistry, thus reducing ammonia volatilization losses. The use of Azolla in combination with Urea increased rice yields by 15% and reduced urea-N losses from 17-38% to 2-8%. A combined use of Azolla and urea is a viable option to enhance the productivity of rice-wheat systems in Nepal.
Author: Marcos Garcia Publisher: Cuvillier Verlag ISBN: 386537106X Category : Languages : en Pages : 297
Book Description
Duas importantes questões foram levantadas neste estudo: (1) O efeito e destino dos pesticidas em solos de regiões temperadas podem ser diferentes em solos tropicais? (2) Os dados produzidos nas regiões temperadas podem ser usados para a avaliação de risco ambiental nos trópicos?
Author: Taye Kufa Obso Publisher: Cuvillier Verlag ISBN: 386727990X Category : Languages : en Pages : 331
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: Akmal Akramkhanov Publisher: Cuvillier Verlag ISBN: 3865376541 Category : Languages : en Pages : 139
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.
Author: Junoo Kamal Tuladhar
Author: Marcos Garcia
Author: Ashabul Anhar
Author: Bao-Le Quang
Author: Damaris Achieng Odeny
Author: Kassahun Tesfaye Geletu
Author: Taye Kufa Obso
Author: Akmal Akramkhanov
Author: Carlos Javier Puig
Author: Nathaniel Kwamina Howard