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Estimation of precaecal digestibility of amino acids by pigs by means of a laboratory methods enables use of small-seeded legumes in a sustainable, nitrogen-otpimzed feeding strategy (KLEE)

Project


Project code: 2818EPS013
Contract period: 15.09.2019 - 14.09.2022
Budget: 160,074 Euro
Purpose of research: Applied research
Keywords: animal nutrition, clover, sustainability, emissions, Precision livestock, farming, pigs, animal feed, lucerne, alfalfa, diagnostics

For the first time a practical approach for the estimation of the standardized precaecal digestibility of crude protein (spcDCP) and amino acids (spcDAA) in feedstuffs for pigs is being developed. With regard to specific characteristics and the range of variation in the protein value between e.g. varieties, locations and years of cultivation this enables the use of small-seeded legumes in a performance-based and nitrogen-reduced protein supply in animal production possible. Existing data gaps will be closed; this has a positive impact on use, acceptance and economy of legumes. Protein sources of various origin/treatment are characterized by non-fibre bound amino acids. By comparison of in vivo data with laboratory analytical results a generalised estimating equation for spcDAA may be derived. On the basis of the large data pool of laboratory-derived spcDAA data an NIRS calibration enabling a rapid, practical and cost-effective protein evaluation will be made. A nitrogen-optimized feeding strategy will be possible and include the use of local, i.a. specifically-treated feedstuffs trough precise combination of various protein sources and supplementation of specific amino acids. A unique pool of samples of up to now 100 feeding stuffs (legumes and soybean-based commodities, various treatments and genotypes), of which spcDAA in pigs has already been determined in vivo, is available. Thus regionally produced legumes may be integrated in efficient feeding strategies thereby harmonising animal requirements (animal health), economic (flexible planning of rations, optimised production processes) and ecopolitical needs (reduction of greenhouse gases and nitrate in ground water,) as well as social expectations (ecology, reduction of animal experiments and GMO soy).

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