Evidence map›Paper›PMID 33561924›Full record

ArticleAnimal bioscience2021

Laser methane detector-based quantification of methane emissions from indoor-fed Fogera dairy cows.

Nobuyuki Kobayashi, Fujiang Hou, Atsushi Tsunekawa, Tianhai Yan, Firew Tegegne, Asaminew Tassew, Yeshambel Mekuriaw, Shigdaf Mekuriaw, Beyadglign Hunegnaw, Wondimeneh Mekonnen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Animal bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 5 countries.

Nobuyuki KobayashiArid Land Research Center, Tottori University, Tottori 680-0001, Japan.
Fujiang HouState Key Laboratory of Grassland Agroecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730000, China.
Atsushi TsunekawaArid Land Research Center, Tottori University, Tottori 680-0001, Japan.
Tianhai YanAgri-Food and Biosciences Institute, Hillsborough, County Down BT26 6DR, UK.
Firew TegegneBahir Dar University, Bahir Dar 6000, Ethiopia.
Asaminew TassewCollege of Agriculture and Environmental Sciences, Bahir Dar University, Bahir Dar 6000, Ethiopia.
Yeshambel MekuriawCollege of Agriculture and Environmental Sciences, Bahir Dar University, Bahir Dar 6000, Ethiopia.
Shigdaf MekuriawThe United Graduate School of Agricultural Sciences, Tottori University, Tottori 680- 8550, Japan.
Beyadglign HunegnawAndassa Livestock Research Center, Amhara Region Agricultural Research Institute, Bahir Dar 6000, Ethiopia.
Wondimeneh MekonnenAndassa Livestock Research Center, Amhara Region Agricultural Research Institute, Bahir Dar 6000, Ethiopia.
Toshiyoshi IchinoheFaculty of Life and Environmental Science, Shimane University, Matsue 690-8504, Japan.
Amhara Agricultural Research Institute · ETBahir Dar University · ETTottori University · JPAgri Food and Biosciences Institute · GBMinistry of Agriculture · EEShimane University · JP

Funding

Andassa Livestock Research CenterChinese Academy of Sciences XDA20100102Innovative Research Team at the University of China IRT17R50Japan International Cooperation AgencyJapan Science and Technology Agency JPMJSA1601Key R & D Program of Ningxia Hui Autonomous Region 2019BBF02001Lanzhou University LZUCKY-S-DXCLZ-001Science and Technology Research Partnership for Sustainable DevelopmentSustainable Land ManagementTottori University
6 · The paper itself

Abstract

objectivePortable laser methane detectors (LMDs) may be an economical means of estimating CH4 emissions from ruminants. We validated an LMD-based approach and then used that approach to evaluate CH4 emissions from indigenous dairy cows in a dryland area of Ethiopia.

methodsFirst, we validated our LMD-based approach in Simmental crossbred beef cattle (n = 2) housed in respiration chambers and fed either a high- or low-concentrate diet. From the results of the validation, we constructed an estimation equation to determine CH4 emissions from LMD CH4 concentrations. Next, we used our validated LMD approach to examine CH4 emissions in Fogera dairy cows grazed for 8 h/d (GG, n = 4), fed indoors on natural-grassland hay (CG1, n = 4), or fed indoors on Napier-grass (Pennisetum purpureum) hay (CG2, n = 4). All the cows were supplemented with concentrate feed.

resultsThe exhaled CH4 concentrations measured by LMD were linearly correlated with the CH4 emissions determined by infrared-absorption-based gas analyzer (r2 = 0.55). The estimation equation used to determine CH4 emissions (y, mg/min) from LMD CH4 concentrations (x, ppm m) was y = 0.4259x+38.61. Daily CH4 emissions of Fogera cows estimated by using the equation did not differ among the three groups; however, a numerically greater milk yield was obtained from the CG2 cows than from the GG cows, suggesting that Napiergrass hay might be better than natural-grassland hay for indoor feeding. The CG1 cows had higher CH4 emissions per feed intake than the other groups, without significant increases in milk yield and body-weight gain, suggesting that natural-grassland hay cannot be recommended for indoor-fed cows.

conclusionThese findings demonstrate the potential of using LMDs to valuate feeding regimens rapidly and economically for dairy cows in areas under financial constraint, while taking CH4 emissions into consideration.

Indexed as

Ethiopian DrylandFogera Dairy CowIndoor FeedingLaser Methane DetectorMethane EmissionsNapier Grass

Identifiers

PMID33561924
PMCPMC8255885
OpenAlexW3124615028

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.