Organic Livestock Production: A Bibliometric Review

Manuelian, Carmen L.; Penasa, M.; Costa, Luciana da; Burbi, Sara; Righi, Federico; Marchi, Massimo De

doi:10.3390/ani10040618

Cited by 12 publications

(16 citation statements)

References 7 publications

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“…Field control experiments and meta-analysis were mostly used to assess grazing effects, and relevant progress was made in understanding plant community structure, soil physical and chemical properties, and the biogeochemical cycle in grazed grasslands. However, significant controversies exist on the grazing contribution to large-scale grassland degradation (Lehnert et al 2016;Dong et al 2020;Fayiah et al 2020;Manuelian et al 2020). For example, Lehnert argued that climate change is the leading cause of vegetation cover change in the Tibetan Plateau since the new millennium, rather than the grazing effect (Lehnert et al 2016).…”

Section: Cluster #0 "Alpine Meadow"mentioning

confidence: 99%

Characteristics and trends of grassland degradation research

Cui

Scotton

et al. 2022

J Soils Sediments

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Purpose Grasslands are the largest type of terrestrial ecosystem on the earth, providing rich and unique ecosystem services. However, climate change and human activities have triggered a global degradation of grasslands, which has become a major ecological crisis. In this study, a scientometric analysis was performed to explore the hotspots and frontiers of global grassland degradation research. Materials and methods Two methods involving visualization were used to analyze these data: document co-citation analysis and burst analysis based on the papers indexed in the Web of Science (WOS) during 1970-2020. Results and discussion A total of 3580 research papers related to grassland degradation research and 54,666 references were included. The results showed that Harris's paper in 2010 had the strongest burst value of 26.2, far larger than any other, which shows that this paper was a turning point in the research process. The document co-citation network was divided into 14 main theme clusters. The most influential and emerging research theme clusters were including alpine meadow, grazing exclusion, alpine region, and human activities. Alpine meadow was the largest cluster lasting from 2010 to 2020, indicating that this topic is still active in grassland degradation research. Furthermore, research focus has transferred toward grasslands in Qinghai-Tibetan Plateau. The topic of grazing exclusion is both classic and currently active as it lasted as a research hotspot for 15 years (2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018). However, the extent and state of grazing effects research are unclear. Conclusions As the first scientometric review on grassland degradation research, our study identified the research hotspots and their shifts over the past 50 years, pointing to some potential research frontiers in the future. The scientometric analysis is a useful tool for a quantitative evaluation of research hotspots and trends of global grassland degradation.

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Section: Cluster #0 "Alpine Meadow"mentioning

confidence: 99%

Characteristics and trends of grassland degradation research

Cui

Scotton

et al. 2022

J Soils Sediments

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“…As regards agriculture-related scientometrics studies, Aleixandre et al (2015) focused on and analyzed research collaborations on organic agriculture, while Aleixandre-Tudó et al (2018) analyzed research trends on precision agriculture using scientometrics. Elsewhere, Manuelian et al (2020) applied a scientometrics framework to a study on organic livestock production. These studies demonstrate the utility of a scientometrics approach to research topics related to agriculture.…”

Section: Introductionmentioning

confidence: 99%

Understanding Research Trends and Topics on Organic Agriculture based on Scientific Literature in Social Science

KATO¹,

Yamamoto²,

Kobayashi

2023

Journal of Food System Research

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This study focuses on detecting trends and topics in social science research on organic agriculture. We applied scientometric methods, such as keyword co-occurrence analysis and burst detection to keywords assigned to scientific literature related to the social sciences from 2002 to 2021. As a result, various research topics on organic agriculture from production to consumption aspects were detected. Furthermore, recent trends in social science research were detected quantitatively. These trends included meta-analysis through case study accumulation and research topics related to organic agriculture and sustainability.

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“…Consumers of both organic (ORG) and conventional (CONV) foods assume that ORG food is healthier and of better quality than CONV food (Rodríguez-Bermúdez et al, 2020). Along with the increase of ORG production and consumers' demands, the research on ORG production has also increased (Manuelian et al, 2020). In Europe, information on health, robustness, and phenotypic traits of native breeds for dairy production is scarce, and neither the rules for ORG production nor the literature clarify which breeds should be considered (Padel, 2019).…”

Section: Introductionmentioning

confidence: 99%

Detailed comparison between organic and conventional milk from Holstein-Friesian dairy herds in Italy

Manuelian

Vigolo

Burbi

et al. 2022

Journal of Dairy Science

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Several studies have reported gross composition differences between organic and conventional milk; however, most studies have not considered other factors such as breed and diet ingredients, which are known to influence milk composition. Thus, this study aimed to provide a detailed characterization of Holstein-Friesian cow milk from organic (ORG) and conventional (CONV) herds with similar diet ingredients and in the same geographic area. Bulk milk samples (n = 225) of 12 ORG and 12 CONV farms were collected from September 2019 to August 2020. Farms were located in Northern Italy, included corn (meal, silage, or both) in the lactating diets, and had similar management conditions, but ORG herds spent a period on pasture. Factors affecting milk composition were tested using a linear mixed model, which included calendar month, farming system (ORG and CONV), and their interactions as fixed effects, and farm nested within farming system as random effect. Results showed that total fat, lactose, vitamin E, and AA did not significantly differ between farming systems. Total protein and casein contents were significantly lower in ORG than CONV herds, and somatic cell score (SCS) was greater in ORG than CONV. Among minerals, differences were observed for Fe, K, Mg, and S in some months, being lower in ORG than CONV for K, Mg, and S and greater or lower for Fe depending on the month. Among fatty acid (FA) groups, index, and ratios, only polyunsaturated FA and n-3 FA tended to be greater in ORG than CONV, and cis-FA were greater in ORG than CONV during October. Among the most abundant individual FA, only C16: 1n -9 differed, being lower in ORG than CONV. The calendar month (and hence seasonal feed ration) was significant for milk gross composition, SCS, vitamin E, mineral profile (except for Mo, Sr, and Zn), AA profile, FA groups (except for medium-chain FA), FA index and ratios, and individual FA (except C16:0). We conclude that the overall milk composition was quite similar between the 2 farming systems. This could be related to the similarity of the selected farms, the Holstein-Friesian breed, and generally high level of intensity in both farming systems.

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Organic Livestock Production: A Bibliometric Review

Cited by 12 publications

References 7 publications

Characteristics and trends of grassland degradation research

Characteristics and trends of grassland degradation research

Understanding Research Trends and Topics on Organic Agriculture based on Scientific Literature in Social Science

Detailed comparison between organic and conventional milk from Holstein-Friesian dairy herds in Italy

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