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Animals
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Techniques and Strategies to Quantify and Reduce Greenhouse Gases Emissions...
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Techniques and Strategies to Quantify and Reduce Greenhouse Gases Emissions from Livestock

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal System and Management".

Deadline for manuscript submissions: closed (20 February 2022) | Viewed by 10995

Special Issue Editor

Dr. Amélie Vanlierde

E-Mail Website
Guest Editor
Walloon Agricultural Research Centre, Gembloux, Belgium
Interests: livestock; cow; infrared; methane; proxies

Special Issue Information

Dear colleagues,

Current environmental concerns require each sector to make efforts to mitigate its greenhouse gases (GHGs) emissions. In this context, more and more research is dedicated to acquiring such values more easily, with the purpose of elaborating strategies to reduce them. The agricultural sector and more especially livestock production are also concerned. As reference techniques to measure GHGs from animals are expensive and time consuming, alternative techniques are developed. The values collected help to define strategies to reduce GHGs emissions.

The aim of this Special Issue of the open-access journal Animals will be dedicated to advances of techniques to measure or to estimate indirectly (by proxies) GHGs emissions from livestock as well as their application to reduce GHGs emissions in practice (nutrition, genetic, etc.).

Original research, systematic reviews, meta-analyses, and model studies related to the theme of are welcome. Example topics include, but are not limited to:

New techniques to measure GHGs emissions from livestock to acquire them more easily

  • Development of proxies for indirect estimation of GHGs from livestock at large scale
  • Potential to merge reference datasets acquired with different reference methods
  • Studies about evolution of GHGs at animal, herd or regional scale
  • Integration of measured or estimated values in LCA
  • Strategies to reduce GHGs emissions from livestock

We are looking forward to your submissions!

Dr. Amélie Vanlierde
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Animals is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Greenhouse gases
  • livestock
  • measurement
  • proxies
  • life cycle analysis
  • nutrition
  • genetics
  • databases

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Published Papers (4 papers)

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Research

16 pages, 2791 KiB  
Article
Exploring Rotational Grazing and Crossbreeding as Options for Beef Production to Reduce GHG Emissions and Feed-Food Competition through Farm-Level Bio-Economic Modeling
by Alexandre Mertens, Lennart Kokemohr, Emilie Braun, Louise Legein, Claire Mosnier, Giacomo Pirlo, Patrick Veysset, Sylvain Hennart, Michaël Mathot and Didier Stilmant
Animals 2023, 13(6), 1020; https://doi.org/10.3390/ani13061020 - 10 Mar 2023
Viewed by 1939
Abstract
In the context of a growing population, beef production is expected to reduce its consumption of human-edible food and its contribution to global warming. We hypothesize that implementing the innovations of fast rotational grazing and redesigning existing production systems using crossbreeding and sexing [...] Read more.
In the context of a growing population, beef production is expected to reduce its consumption of human-edible food and its contribution to global warming. We hypothesize that implementing the innovations of fast rotational grazing and redesigning existing production systems using crossbreeding and sexing may reduce these impacts. In this research, the bio-economic model FarmDyn is used to assess the impact of such innovations on farm profit, workload, global warming potential, and feed-food competition. The innovations are tested in a Belgian system composed of a Belgian Blue breeder and a fattener farm, another system where calves raised in a French suckler cow farm are fattened in a farm in Italy, and third, a German dairy farm that fattens its male calves. The practice of fast rotational grazing with a herd of dairy-to-beef crossbred males is found to have the best potential for greenhouse gas reduction and a reduction of the use of human-edible food when by-products are available. Crossbreeding with early-maturing beef breeds shows a suitable potential to produce grass-based beef with little feed-food competition if the stocking rate considers the grassland yield potential. The results motivate field trials in order to validate the findings. Full article
(This article belongs to the Special Issue Techniques and Strategies to Quantify and Reduce Greenhouse Gases Emissions from Livestock)
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9 pages, 1160 KiB  
Article
Measurement Duration but Not Distance, Angle, and Neighbour-Proximity Affects Precision in Enteric Methane Emissions when Using the Laser Methane Detector Technique in Lactating Dairy Cows
by Raphaël Boré, Thiphaine Bruder, Mohammed El Jabri, Margaret March, Paul R. Hargreaves, Benoît Rouillé, Richard J. Dewhurst and Mizeck G. G. Chagunda
Animals 2022, 12(10), 1295; https://doi.org/10.3390/ani12101295 - 18 May 2022
Cited by 3 | Viewed by 2193
Abstract
The laser methane detector (LMD), is a proprietary hand-held open path laser measuring device. Its measurements are based on infrared absorption spectroscopy using a semiconductor laser as a collimated excitation source. In the current study, LMD measurements were carried out in two experiments [...] Read more.
The laser methane detector (LMD), is a proprietary hand-held open path laser measuring device. Its measurements are based on infrared absorption spectroscopy using a semiconductor laser as a collimated excitation source. In the current study, LMD measurements were carried out in two experiments using 20 and 71 lactating dairy cows in Spain and Scotland, respectively. The study aimed at testing four assumptions that may impact on the reliability and repeatability of the LMD measurements of ruminants. The study has verified that there is no difference in enteric methane measurements taken from a distance of 3 m than from those taken at a distance of 2 m; there was no effect to the measurements when the measurement angle was adjusted from 90° to 45°; that the presence of an adjacent animal had no effect on the methane measurements; and that measurements lasting up to 240 s are more precise than those taken for a shorter duration. The results indicate that angle, proximity to other animals, and distance had no effects and that measurements need to last a minimum of 240 s to maintain precision. Full article
(This article belongs to the Special Issue Techniques and Strategies to Quantify and Reduce Greenhouse Gases Emissions from Livestock)
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16 pages, 1298 KiB  
Article
Comprehensive Assessment of Environmental Pollution in a Poultry Farm Depending on the Season and the Laying Hen Breeding System
by Tomasz Szablewski, Kinga Stuper-Szablewska, Renata Cegielska-Radziejewska, Łukasz Tomczyk, Lidia Szwajkowska-Michałek and Sebastian Nowaczewski
Animals 2022, 12(6), 740; https://doi.org/10.3390/ani12060740 - 16 Mar 2022
Cited by 1 | Viewed by 2343
Abstract
The odors and dust emitted from hen houses affect human health and the condition of crops. The source of fumes is an element of the poultry house environment that affects the level of dust (litter and feed), the concentration of volatile compounds and [...] Read more.
The odors and dust emitted from hen houses affect human health and the condition of crops. The source of fumes is an element of the poultry house environment that affects the level of dust (litter and feed), the concentration of volatile compounds and the composition of the microflora (litter, dust and fodder). The research carried out as part of this study is a comprehensive assessment of the microbiological contamination (Pseudomonas, Enterobacteriaceae, and microscopic fungi) of all the elements that make up the environment of the poultry house (feed, litter, dust pollution and the atmosphere of the poultry house) in an annual cycle. The air from both types of farms is tested in terms of the quantity and quality of volatile compounds. Two types of laying hens reared on litter were compared: commercial and backyard farms. It was found that the seasons of the year and the system of keeping hens have a significant impact on the microbiological contamination with volatile compounds of the environment and the atmosphere of the hen houses. The obtained results of chemical, microbiological and questionnaire tests show that commercial farms carry a lower microbiological risk to the environment than backyard farm. Full article
(This article belongs to the Special Issue Techniques and Strategies to Quantify and Reduce Greenhouse Gases Emissions from Livestock)
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8 pages, 668 KiB  
Article
Detection of Methane Eructation Peaks in Dairy Cows at a Robotic Milking Station Using Signal Processing
by Ali Hardan, Philip C. Garnsworthy and Matt J. Bell
Animals 2022, 12(1), 26; https://doi.org/10.3390/ani12010026 - 23 Dec 2021
Cited by 5 | Viewed by 3368
Abstract
The aim of this study was to investigate the use of signal processing to detect eructation peaks in CH4 released by cows during robotic milking, and to compare recordings from three gas analysers (Guardian SP and NG, and IRMAX) differing in volume [...] Read more.
The aim of this study was to investigate the use of signal processing to detect eructation peaks in CH4 released by cows during robotic milking, and to compare recordings from three gas analysers (Guardian SP and NG, and IRMAX) differing in volume of air sampled and response time. To allow comparison of gas analysers using the signal processing approach, CH4 in air (parts per million) was measured by each analyser at the same time and continuously every second from the feed bin of a robotic milking station. Peak analysis software was used to extract maximum CH4 amplitude (ppm) from the concentration signal during each milking. A total of 5512 CH4 spot measurements were recorded from 65 cows during three consecutive sampling periods. Data were analysed with a linear mixed model including analyser × period, parity, and days in milk as fixed effects, and cow ID as a random effect. In period one, air sampling volume and recorded CH4 concentration were the same for all analysers. In periods two and three, air sampling volume was increased for IRMAX, resulting in higher CH4 concentrations recorded by IRMAX and lower concentrations recorded by Guardian SP (p < 0.001), particularly in period three, but no change in average concentrations measured by Guardian NG across periods. Measurements by Guardian SP and IRMAX had the highest correlation; Guardian SP and NG produced similar repeatability and detected more variation among cows compared with IRMAX. The findings show that signal processing can provide a reliable and accurate means to detect CH4 eructations from animals when using different gas analysers. Full article
(This article belongs to the Special Issue Techniques and Strategies to Quantify and Reduce Greenhouse Gases Emissions from Livestock)
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