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Relationship Between Chemical Composition and In Vitro Methane Production of High Andean Grasses

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Journal Animals (Basel)
Date 2022 Sep 23
PMID 36139207
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Abstract

The present study aims to establish the relationship between chemical composition and in vitro methane (CH) production of high Andean grasses. For this purpose, eight species were collected in dry and rainy seasons: , , , , , , and . They were chemically analyzed and incubated under an in vitro system. Species such as and were characterized by high crude protein (CP. 124 g/kg DM) and low neutral detergent fiber (NDF. 293 g/kg DM) contents in both seasons, contrary to grasses. This same pattern was obtained for , which presented the highest values of gas production, organic matter digestibility (DOM), metabolizable energy (ME) and CH production (241 mL/g DM, 59% DOM, 8.4 MJ ME/kg DM and 37.7 mL CH/g DM, on average). For most species, the content of CP, acid detergent fiber (FDA) and ME was higher in the rainy season than in the dry season, which was the opposite for CH production ( ≥ 0.05). In general, the nutritional content that most explained the behavior of CH production was the NDF content (R = 0.69). Grasses characterized by high NDF content produced less CH (R = -0.85).

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References
1.
Diaz-Cespedes M, Hernandez-Guevara J, Gomez C . Enteric methane emissions by young Brahman bulls grazing tropical pastures at different rainfall seasons in the Peruvian jungle. Trop Anim Health Prod. 2021; 53(4):421. DOI: 10.1007/s11250-021-02871-4. View

2.
Orcasberro M, Loza C, Gere J, Soca P, Picasso V, Astigarraga L . Seasonal Effect on Feed Intake and Methane Emissions of Cow-Calf Systems on Native Grassland with Variable Herbage Allowance. Animals (Basel). 2021; 11(3). PMC: 8003764. DOI: 10.3390/ani11030882. View

3.
Van Soest P, Robertson J, Lewis B . Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci. 1991; 74(10):3583-97. DOI: 10.3168/jds.S0022-0302(91)78551-2. View

4.
Arndt C, Hristov A, Price W, McClelland S, Pelaez A, Cueva S . Full adoption of the most effective strategies to mitigate methane emissions by ruminants can help meet the 1.5 °C target by 2030 but not 2050. Proc Natl Acad Sci U S A. 2022; 119(20):e2111294119. PMC: 9171756. DOI: 10.1073/pnas.2111294119. View

5.
Doreau M, Arbre M, Rochette Y, Lascoux C, Eugene M, Martin C . Comparison of 3 methods for estimating enteric methane and carbon dioxide emission in nonlactating cows. J Anim Sci. 2018; 96(4):1559-1569. PMC: 6140847. DOI: 10.1093/jas/sky033. View