The quality of the dry matter yield of the grazing swards | Ganību zelmeņu sausnas ražas kvalitāte
2019
Adamovics, A., Latvia Univ. of Life Sciences and Technologies, Jelgava (Latvia). Faculty of Agriculture | Gutmane, I., Latvia University of Life Sciences and Technologies, Skriveri, Skriveri Municipality (Latvia). Research Inst. of Agronomy
Field trials were carried out with the aim to study the herbage quality of multi-species grass and legume–grass swards for grazing on three types of soil: sod-calcareous, sod-podzolic and sod stagnogley soil. Two nitrogen fertilisation rates: N0 and N120 were used. Data from the third production year were analysed for the following quality dry matter (DM) yield indices: crude protein (CP), neutral detergent fibre (NDF), acid detergent fibre (ADF), net energy for lactation (NEL) and digestibility. The ratio of legumes and the legume species used in swards determined the quality of the DM yield. Legume-containing mixtures achieved higher CP in comparison with grass-only swards at both fertilisation rates. The N-fertilizer rate increased from 0 to 120 kg haE−1 contributed to a significant CP content increase only on sod-podzolic soil. In the third production year positive influence of N fertilisation on DM yield indices (CP. NDF, ADF content, NEL and DM digestibility) on sod-calcareous and sod stagnogley soils was not found. The results of the third production year in all soil types showed a significant (p is less than 0.01) negative CP correlation with crude fiber and NDF content in DM yield. Crude fiber and NDF had a significant (p is less than 0.01) negative correlation with the Ca content, the proportion of legumes in swards, NEL and DM digestibility. A significant (p is less than 0.01) positive correlation was established between crude fiber, NDF and ADF content in DM yield.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Fundamental Library of Latvia University of Life Sciences and Technologies
Découvrez la collection de ce fournisseur de données dans AGRIS