SENSELGO: Sensor-based precision breeding of triticale as a resource-efficient commodity crop

Funding

Federal Ministry of Food and Agriculture (BMEL via FNR)

Duration

2017 - 2020

Research partners

Hochschule Osnabück

Industrial partners

HegeSaat GmbH & Co. KG, Nordsaat Saatzuchtgesellschaft mbH, PZO Pflanzen-zucht Oberlimpurg, Saaten-Union Versuchs-station Moosburg, weitere Züchter Abteilung Getreide in der Gemeinschaft zur Förderung von Pflanzeninnovation e.V. (GFPi)

Team

J. Neuweiler / J. Trini / H.P. Maurer

The project aims to develop and optimise sensor-based precision phenotyping for plant breeding and to establish triticale as a commodity crop. A combination of sensor-based field phenotyping and genomics will be used to increase biomass yield and improve its components. In addition, direct and indirect selection for resource efficiency in triticale, in particular for improving nitrogen efficiency, will be carried out. The project consists of the following components (1) A field relevant population of 1. 000 triticale lines from current breeding programmes and genotype them with genome-wide markers and for candidate genes, (2) integrate new sensors with selectivity for plant physiological parameters not yet recorded into the sensor module of the BreedVision phenotyping platform and evaluate them on triticale, (3) develop a new sensor module for recording stand density and evaluate it on triticale, (4) to extend the BreedVision system for static measurements in stop-and-go mode in addition to the continuous measurement run, (5) to use the BreedVision platform for recording and predicting biomass yield as well as for components not yet recorded that are relevant for yield formation, (6) to evaluate the efficiency of triticale genotypes under reduced nitrogen and pesticide application, and (7) to use the obtained data for predictive breeding of triticale as a resource-efficient commodity crop.