Projektbeschreibung
Besseres Futter für höhere Produktivität und geringere Methanemissionen
Die Entwicklung neuer Futterpflanzensorten zur Unterstützung der Milch- und Fleischproduktion ist von großer Bedeutung. Gut verdauliches Futter hat positive Effekte auf die Tierproduktion und kann die Methanemissionen einschränken – ein wichtiges Ziel für die Klimapolitik der EU. Trotzdem sind die Verbesserungen der Verdaulichkeit von mehrjährigem Futtergras aufgrund des langen Zuchtzyklus bescheiden. Die Verwendung von Informationen in der DNS zur Schätzung, wie gut verdaulich eine Pflanze ist, stellt eine Möglichkeit dar, die Zeit, die benötigt wird, um einen Auswahlzyklus abzuschließen, um mindestens den Faktor fünf zu reduzieren. Das EU-finanzierte Projekt GenSPaD wird Ansätze zur Verwendung von DNS-Informationen entwickeln und testen, mit denen Nährwerte in Futtermittelzuchtprogrammen vorhergesagt werden können.
Ziel
Breeding for improved perennial ryegrass (PRG) cultivars to support pastoral based production systems for milk and meat is a critically important goal. However, genetic gains for traits such as forage yield and quality have very much lagged behind genetic gain for agronomic traits in cereals. One reason for this is the long breeding cycle in a typical PRG breeding programme, where a single cycle of selection can take 5-6 years. Genomic selection (GS) is a form of marker assisted selection that simultaneously estimates all loci, haplotype, or marker effects across the entire genome to calculate Genomic Estimated Breeding Values (GEBVs). The main advantage that GS could offer PRG breeding is to enable multiple cycles of selection to be achieved in the same time it takes to do a single cycle of conventional selection, thereby increasing the rate of genetic gain. Improving digestibility of the forage leads to an increase in animal performance, and is therefore an important target trait for forage breeders. Furthermore, it has already been shown that increases in organic matter digestibility can reduce methane emissions. Reducing methane emissions is a key target of the EUs climate and energy policy. In this action I will focus on developing and validating GS equations for feed parameters that are being used as model inputs into the Cornell Net Carbohydrate and Protein System (CNCPS). This CNCPS is currently being adapted to predict nutritional value to the grazing animal in pasture based production systems, and it is envisaged that it will be able to identify feed parameters limiting milk-solid production and thereby direct future forage breeding efforts. The work of this action will lead to a novel and innovative forage breeding programme that can select for multiple feed parameters to develop the ideal forage cultivars for pasture production systems.
Wissenschaftliches Gebiet
- natural sciencesbiological sciencesbiochemistrybiomoleculescarbohydrates
- agricultural sciencesagriculture, forestry, and fisheriesagricultureindustrial cropsfodder
- natural scienceschemical sciencesorganic chemistryaliphatic compounds
- natural sciencesbiological sciencesgeneticsgenomes
- agricultural sciencesagriculture, forestry, and fisheriesagriculturegrains and oilseedscereals
Schlüsselbegriffe
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Koordinator
R93 Carlow
Irland