Repeatability and ranking of long-term enteric methane emissions measurement on dairy cows across diets and time using GreenFeed system in farm-conditions
Autor: | Y. Rochette, Maguy Eugène, Terrence Dechaux, Cécile Martin, Julien Jurquet, Anne Ferlay, Mauro Coppa, Jean-Michel Lamy |
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Přispěvatelé: | Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de l'élevage (IDELE), Ferme expérimentale des Trinottières |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Greenhouse Effect
Farms Rumen Silage Ecological Parameter Monitoring Biology General Biochemistry Genetics and Molecular Biology Enteric methane 03 medical and health sciences Animal science Lactation medicine Animals Dry matter Molecular Biology 030304 developmental biology 2. Zero hunger 0303 health sciences Dairy herds 030302 biochemistry & molecular biology Dairy cow Methane GreenFeed Ranking Repeatability Long-term Gas emissions Repeatability Gastrointestinal Microbiome medicine.anatomical_structure Biological Variation Population Dietary treatment 13. Climate action Cattle Female Methane [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition |
Zdroj: | Methods Methods, Elsevier, 2021, 186, pp.59-67. ⟨10.1016/j.ymeth.2020.11.004⟩ |
ISSN: | 1046-2023 1095-9130 |
DOI: | 10.1016/j.ymeth.2020.11.004⟩ |
Popis: | The aims of this work were to study on dairy farm conditions: i) the repeatability of long-term enteric CH4 emissions measurement from lactating dairy cows using GreenFeed (GF); ii) the ranking of dairy cows according to their CH4 emissions across diets. Forty-five Holstein lactating dairy cows were randomly assigned to 3 equivalent groups at the beginning of their lactation. The experiment was composed of 3 successive periods: i) pre-experimental period (weeks 1 to 5) in which all cows received a common diet; ii) a dietary treatment transition period (weeks 6 to 10); and iii) an experimental period (weeks 11 to 26) in which each group was fed a different diet. Experimental diets were formulated to generate more or less CH4 production: i) a diet based on ryegrass silage and concentrates, low in starch and lipid, designed to induce high CH4 emissions (CH4+); ii) a diet based on maize silage and concentrates, rich in starch, designed to induce intermediate CH4 emissions (CH4int); iii) a diet based on maize silage and concentrates, rich in starch and lipid, designed to induce low CH4 emissions (CH4-). Gas emissions were individually measured using GF systems. Repeatability of gas emissions, dry matter intake (DMI) and dairy performances measurements was calculated from data averaged over 1, 2, 4, and 8 weeks for each animal. Hierarchical cluster analysis was performed to rank individual animals according to their CH4 emissions. No significant differences were observed for daily CH4 emissions (g/day) among diets, because of lower DMI of CH4+ cows. When CH4 emissions were referred to units of DMI or milk, the differences among diets emerged as significant and persistent over the observed period of lactation. Repeatability values of gas emissions measurements were higher than 0.7 averaged over 8 weeks of measurement, but still higher than 0.6 for CH4 g/day, CO2 g/day, CH4 g/kg milk, and CH4/CO2 even averaging only 2 weeks of measurement. The repeatability of CH4 emissions measurement was systematically lower than those of DMI or dairy performance parameters, like milk and FPCM yield, irrespective of the averaged measurement period. The dairy cow ranking was not stable over time between all individuals or within any of the diets. In our experimental conditions, the GF performance in the long term can be considered reliable in differentiating dairy herds by their CH4 emissions according to diets with different methanogenic potential, but did not allow the ranking of individual dairy cows within a same diet. Our data highlight the importance of phenotyping animals across environment in which they will be expected to perform. |
Databáze: | OpenAIRE |
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