We use cookies to enable you to make the best possible use of our website. Only cookies that are necessary for the operation of the site are set. Details in our privacy policy.
Advanced Search
Search results
Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 8038 ResultsSorting
Relevancy: 1%
Collaborative project: GPS- and server-based irrigation management for vegetable crops using climatic water balance (GS-Mobil) - subproject 1 (Project)
The aim of this project is to create a system for irrigation scheduling, which is based on the state-of-the-art of science and technology. This system focuses on determining the water demand of vegetable crops precisely, easily and in real time by combining climatic water balance with GPS and smartphone technique. The benefits are increased water use efficiency, a reduction of nitrate leaching...
Funding period: 2012 - 2015
Relevancy: 1%
RYE-BARLEY-DIVERSITY - Bridging genomics and genetic diversity: Association between gene polymorphism and trait variation in cereals (Part 1) (Project)
To gain a further understanding of genes involved in determining grain quality and flowering time in cereal species, we propose to undertake association studies between gene polymorphism and the variation of these traits. Five key candidate genes will be considered for each trait. Comparative sequencing will be achieved on a representative set of inbred lines of maize, sorghum, rice, wheat,...
Funding period: 2004 - 2007
Relevancy: 1%
EVA I FNR Biogas. Subproject 1: Design and optimisation of site-adapted cropping systems for energy crops in crop rotations (Project)
Various crop rotations of energy crops are tested in typical production areas of Germany. Old and new crop species like Jerusalem artichoke (Helianthus tuberosum) and sorghum millet are integrated in these crop rotations which are partly characteristic for the regions. The objective of the project is to use a broad range of species for the supply of bioenergy via biogas and to develop...
Funding period: 2005 - 2009
Relevancy: 1%
Collaborative project: development of tools for the assurance of genetic quality of breeding programmes(QA @ Breeding) - Subproject 1 (Project)
A set of software tools were developed in the QS@Breedings project with the objective to enhance competetiveness of breeding programs. Based on inputs and outputs of routine genetic evaluations, a software pipeline (GePipe) is automatically parameterized and executed with a minimum of manual intervention. As outputs, GePipe delivers a complete analysis of the genetic evaluation: a population...
Funding period: 2009 - 2013
Relevancy: 1%
Collaborative project: Conservation of resources and increase in efficiency in horticultural production by a comprehensive data management – Subproject 1 (Project)
The research project deals with comprehensive data management of horticultural farms. In this context, the software package 'ProdIS-Plant' was developed. ProdIS-Plant provides the necessary data base to optimize resource usage in terms of environmental and economical aspects. Providing comprehensive company data management, a high level of transparency in the production process is possible and...
Funding period: 2008 - 2011
Relevancy: 1%
Collaborative project: 'Deep Phenotyping' of disease resistance based on hyperspectral imaging and data mining methods in high troughput. Subproject 1 (Project)
Within the project DePhenSe the implementation of hyperspectral measurements in automated processes as well as an extension to the UV range for plant phenotyping of relevant crops was achieved by the partners Uni Bonn, IfZ, Uni Darmstadt and LemnaTec GmbH. Based on these results, hyperspectral measurements in the UV range can be performed for plant phenotyping. The establishment of new deep...
Funding period: 2017 - 2020
Relevancy: 1%
Collaborative project: Scaling up Nutrition - Implementing Potentials of nutrition-sensitive and diversified agriculture to increase food security. Subproject 1 (Project)
Aim of Scale-N is to achieve food security of the population in rural Tanzanian by supporting and further development of diversified and sustainable agriculture. The reduction of malnutrition and undernourishment of rural dwellers should in this context be achieved by the development of nutrient sensitive modifications in agricultural production, processing and nutrition behaviour as well as...
Funding period: 2015 - 2018
Relevancy: 1%
Collaborative project: Development of a systematic breeding strategy for hydrangea (Hydrangea macrophylla ssp. macrophylla) considering interploid crossings - Subproject 1 (Project)
In hydrangea (Hydrangea macrophylla ssp. macrophylla), diploid as well as triploid cultivars exist, however, the ploidy level is not known for all varieties and genotypes, since first results on this topic have not been published until 2000 – 2007. Triploid varieties are often strikingly vital and healthy. Moreover, they are fertile and can be crossed with diploid genotypes. Notwithstanding,...
Funding period: 2015 - 2019
Relevancy: 1%
Collaborative project: Development of non-chemical seed treatments for control of seed- and soilborne pathogens of maize - Subproject 1 (Project)
Aim of the project SaatMaisPlus was the development of non-chemical seed treatment methods to control seed- and soil-borne diseases in maize (Fusarium, Rhizoctonia, Pythium). In order to achieve this goal, a combined approach of physical methods (electron treatment) and the application of microbial antagonists was carried out. Firstly the method of electron treatment was optimized for maize...
Funding period: 2017 - 2020
Relevancy: 1%
Collaborative project: Adaptive control of the harvesting and cleaning process of beet harvesters using image-based quality evaluation. Subproject 1 (Project)
The aim of this project is to optimize the quality of the beet harvesting process, but also to save resources and to supply the machine operator. The beet quality is measured based on images which refers as an input for the adaptive control of the harvesting and cleaning elements. In the first step the system supports the driver to find the optimal machine settings for the desired harvesting...
Funding period: 2016 - 2020