Animal board invited review: Specialising and intensifying cattle production for better efficiency and less global warming: contrasting results for milk and meat co-production at different scales

Faverdin, Philippe; Guyomard, Hervé; Puillet, Laurence; Forslund, Agneta

doi:10.1016/j.animal.2021.100431

Cited by 27 publications

(15 citation statements)

References 38 publications

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“…However, dairy farming is increasingly blamed for environmental and climatic damage because it emits greenhouse gases (GHGs) (Herron et al, 2022). Improving cow productivity can be an effective strategy for sustainable milk production (Kelly et al, 2020) while reducing the associated environmental impacts (Lamkowsky et al, 2021;Faverdin et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Can the use of digital technology improve the cow milk productivity in large dairy herds? Evidence from China's Shandong Province

Han

Shadbolt

et al. 2022

Front. Sustain. Food Syst.

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IntroductionImproving milk productivity is essential for ensuring sustainable food production. However, the increasing difficulty of supervision and management, which is associated with farm size, is one of the major factors causing the inverse relationship between size and productivity. Digital technology, which has grown in popularity in recent years, can effectively substitute for manual labor and significantly improve farmers' monitoring and management capacities, potentially addressing the inverse relationship.MethodsBased on data from a survey of farms in Shandong Province in 2020, this paper employs a two-stage least squares regression model to estimate the impact of herd size on dairy cow productivity and investigate how the adoption of digital technology has altered the impact of herd size on dairy cow productivity.ResultsAccording to the findings, there is a significant and negative impact of herd size on milk productivity for China's dairy farms. By accurately monitoring and identifying the time of estrus, coupled with timely insemination, digital technology can mitigate the negative impact of herd size on milk productivity per cow.DiscussionTo increase dairy cow productivity in China, the government should promote both small-scale dairy farming and focus on enhancing management capacities of farm operators, as well as large-scale dairy farms and increase the adoption of digital technologies.

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Section: Introductionmentioning

confidence: 99%

Can the use of digital technology improve the cow milk productivity in large dairy herds? Evidence from China's Shandong Province

Han

Shadbolt

et al. 2022

Front. Sustain. Food Syst.

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“…Reduced CH 4 emissions will halt climate change and lower greenhouse gas levels [ 7 ]. Increasing milk yield lowers climate consequences at the animal and farm levels [ 8 ]. The new findings could stimulate more research into the effects of methanogenesis suppression on rumen fermentation and post-absorptive metabolism, which could increase animal productivity and efficiency [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…According to Cantor [ 9 ], reticulorumen temperature is an effective predictor of aspects of cattle well-being, such as daily herd water intake or inflammation [ 9 ]. Alzahal et al [ 8 ] investigated the association between ruminal temperature and pH, as well as their potential to predict nutritional and health status in dairy cows. Cooper-Prado et al [ 9 ] found that the ruminal temperature reduces one day before parturition.…”

Section: Introductionmentioning

confidence: 99%

Relationship between Reticulorumen Parameters Measured in Real Time and Methane Emission and Heat Stress Risk in Dairy Cows

Antanaitis

Anskienė

Rapaliutė³

et al. 2022

Animals

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The objective of this study was to investigate a connection between CH4 emissions and reticulorumen pH and temperature. During the experiment, we registered the following parameters: reticulorumen pH (pH), reticulorumen temperature (RR temp.), reticulorumen temperature without drinking cycles, ambient temperature, ambient relative humidity, cow activity, heat index, temperature–humidity index (THI), and methane emissions (CH4). The experimental animals were divided into two groups based on the reticulorumen pH: 1. pH < 6.22 and 2. pH 6.22–6.42. We found that cows assigned to the second pH class had higher (46.18%) average values for methane emissions (p < 0.01). For the other indicators, higher average values were detected in cows of the first pH class, RR temperature (2.80%), relative humidity (20.96%), temperature–humidity index (2.47%) (p < 0.01), and temperature (3.93%) (p < 0.05), which were higher compared to cows of the second pH class. Reticulorumen pH was highly negatively correlated with THI and temperature (r = −0.667 to 0.717, p < 0.001) and somewhat negatively with heat index, relative humidity, and RR temperature (r = −0.536, p < 0.001; r = −0.471 to 0.456, p < 0.01). Cows with a higher risk of heat stress had a higher risk of lower reticulorumen pH.

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“…, 2018), fertilizers (Kyttä et al. , 2021), water treatment (Sandoval and Salazar, 2021) and foods (Faverdin et al. , 2022; Lamnatou et al.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, LCA studies approach engineering models or assessment tools systems with an interpretation concerning sustainable systems (Fan et al, 2020). Among some popular issues approached by LCA applications are: waste (Yao et al, 2020), biodiesel (Faleh et al, 2018), fertilizers (Kytt€ a et al, 2021), water treatment (Sandoval and Salazar, 2021) and foods (Faverdin et al, 2022;Lamnatou et al, 2022). Therefore, TBL areas can be combined in the Life Cycle Sustainable Assessment (LCSA) model.…”

Section: Introductionmentioning

confidence: 99%

Life cycle assessment and relations with triple bottom line in meat production: a systematic approach about cleaner production

DENES

Schneider

Kipper

2022

MEQ

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PurposeThe objective of the present research was to carry out a scientific map about life cycle assessment (LCA) and triple bottom line (TBL) at slaughterhouse areas, looking for Cleaner Production practices aiming at recognizing strategic themes for maintaining the sustainability of productive systems, according to the development of sustainable practices and production evolution in slaughterhouse areas.Design/methodology/approachThe literature analysis was based on general approach, with steps adapted of study phases and activities of preferred reporting items for systematic review and meta-analyses (PRISMA) recommendation guide to do systematic literature review. Activities were subdivided to discuss the results in two kinds of analysis: quantitative and qualitative.FindingsThe main findings of our study reinforce the LCA importance in slaughterhouses to promote Cleaner Production, so that the main measures suggested and/or adopted by different authors include the substitution of raw materials by feeding, with the adoption of grains, protein supplements with less environmental impact in the composition of the feed and changes in the processes seeking for better energy efficiency and optimization of water consumption in meat processing.Research limitations/implicationsThere is another action of sustainability considering LCA and Cleaner Production practices in the industrial meat area that should also be considered. These actions are restricted to documents of business circulation, with limited access since they involve issues regarding innovations in economic and technological aspects of slaughterhouses, as well as industrial confidentiality. Furthermore, in patent bases it is possible to advance the studies looking for how the digital transformation has been carried out in this industrial branch, since the 4.0 transformation industry tends to use clean technologies.Originality/valueThere are LCA models with a systemic approach to measure the level of sustainability of a process, comprising analysis of impacts related to different areas: environmental, social and economic although in terms of the meat production chain, the impact analysis focuses mainly on the environmental area. So, future works should be developed in meat production chain to assess social and economic impacts, i.e. a sustainable LCA addressing the three areas to consolidate models and standardize metrics with a scientific basis.

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Animal board invited review: Specialising and intensifying cattle production for better efficiency and less global warming: contrasting results for milk and meat co-production at different scales

Cited by 27 publications

References 38 publications

Can the use of digital technology improve the cow milk productivity in large dairy herds? Evidence from China's Shandong Province

Can the use of digital technology improve the cow milk productivity in large dairy herds? Evidence from China's Shandong Province

Relationship between Reticulorumen Parameters Measured in Real Time and Methane Emission and Heat Stress Risk in Dairy Cows

Life cycle assessment and relations with triple bottom line in meat production: a systematic approach about cleaner production

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