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Linehan K, Patangia DV, Ross RP, Stanton C. Production, Composition and Nutritional Properties of Organic Milk: A Critical Review. Foods 2024; 13:550. [PMID: 38397527 PMCID: PMC10887702 DOI: 10.3390/foods13040550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 01/27/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
Milk is one of the most valuable products in the food industry with most milk production throughout the world being carried out using conventional management, which includes intensive and traditional systems. The intensive use of fertilizers, antibiotics, pesticides and concerns regarding animal health and the environment have given increasing importance to organic dairy and dairy products in the last two decades. This review aims to compare the production, nutritional, and compositional properties of milk produced by conventional and organic dairy management systems. We also shed light on the health benefits of milk and the worldwide scenario of the organic dairy production system. Most reports suggest milk has beneficial health effects with very few, if any, adverse effects reported. Organic milk is reported to confer additional benefits due to its lower omega-6-omega-3 ratio, which is due to the difference in feeding practices, with organic cows predominantly pasture fed. Despite the testified animal, host, and environmental benefits, organic milk production is difficult in several regions due to the cost-intensive process and geographical conditions. Finally, we offer perspectives for a better future and highlight knowledge gaps in the organic dairy management system.
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Affiliation(s)
- Kevin Linehan
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (K.L.); (D.V.P.)
- APC Microbiome Ireland, University College Cork, T12 Y120 Cork, Ireland;
- School of Microbiology, University College Cork, T12 XF62 Cork, Ireland
| | - Dhrati V. Patangia
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (K.L.); (D.V.P.)
- APC Microbiome Ireland, University College Cork, T12 Y120 Cork, Ireland;
- School of Microbiology, University College Cork, T12 XF62 Cork, Ireland
| | - Reynolds Paul Ross
- APC Microbiome Ireland, University College Cork, T12 Y120 Cork, Ireland;
- School of Microbiology, University College Cork, T12 XF62 Cork, Ireland
| | - Catherine Stanton
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (K.L.); (D.V.P.)
- APC Microbiome Ireland, University College Cork, T12 Y120 Cork, Ireland;
- VistaMilk Research Centre, Teagasc Moorepark, Fermoy, P61 C996 Cork, Ireland
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2
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Jiang W, Mooney MH, Shirali M. Unveiling the Genetic Landscape of Feed Efficiency in Holstein Dairy Cows: Insights into Heritability, Genetic Markers, and Pathways via Meta-Analysis. J Anim Sci 2024; 102:skae040. [PMID: 38354297 PMCID: PMC10957122 DOI: 10.1093/jas/skae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 02/09/2024] [Indexed: 02/16/2024] Open
Abstract
Improving the feeding efficiency of dairy cows is a key component to improve the utilization of land resources and meet the demand for high-quality protein. Advances in genomic methods and omics techniques have made it possible to breed more efficient dairy cows through genomic selection. The aim of this review is to obtain a comprehensive understanding of the biological background of feed efficiency (FE) complex traits in purebred Holstein dairy cows including heritability estimate, and genetic markers, genes, and pathways participating in FE regulation mechanism. Through a literature search, we systematically reviewed the heritability estimation, molecular genetic markers, genes, biomarkers, and pathways of traits related to feeding efficiency in Holstein dairy cows. A meta-analysis based on a random-effects model was performed to combine reported heritability estimates of FE complex. The heritability of residual feed intake, dry matter intake, and energy balance was 0.20, 0.34, and 0.22, respectively, which proved that it was reasonable to include the related traits in the selection breeding program. For molecular genetic markers, a total of 13 single-nucleotide polymorphisms and copy number variance loci, associated genes, and functions were reported to be significant across populations. A total of 169 reported candidate genes were summarized on a large scale, using a higher threshold (adjusted P value < 0.05). Then, the subsequent pathway enrichment of these genes was performed. The important genes reported in the articles were included in a gene list and the gene list was enriched by gene ontology (GO):biological process (BP), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis. Three GO:BP terms and four KEGG terms were statistically significant, which mainly focused on adenosine triphosphate (ATP) synthesis, electron transport chain, and OXPHOS pathway. Among these pathways, involved genes such as ATP5MC2, NDUFA, COX7A2, UQCR, and MMP are particularly important as they were previously reported. Twenty-nine reported biological mechanisms along with involved genes were explained mainly by four biological pathways (insulin-like growth factor axis, lipid metabolism, oxidative phosphorylation pathways, tryptophan metabolism). The information from this study will be useful for future studies of genomic selection breeding and genetic structures influencing animal FE. A better understanding of the underlying biological mechanisms would be beneficial, particularly as it might address genetic antagonism.
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Affiliation(s)
- Wentao Jiang
- Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast, BT9 5DL, UK
- Agri-Food and Biosciences Institute, Large Park, Hillsborough, BT26 6DR, UK
| | - Mark H Mooney
- Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast, BT9 5DL, UK
| | - Masoud Shirali
- Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast, BT9 5DL, UK
- Agri-Food and Biosciences Institute, Large Park, Hillsborough, BT26 6DR, UK
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3
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Leroy G, Boettcher P, Joly F, Looft C, Baumung R. Multifunctionality and provision of ecosystem services by livestock species and breeds at global level. Animal 2024; 18:101048. [PMID: 38160592 DOI: 10.1016/j.animal.2023.101048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 01/03/2024] Open
Abstract
Beyond providing food, livestock species are linked to a wide range of uses and ecosystem services (ESs). Based on information reported by 41 countries on 3 361 national breed populations to the Domestic Animal Diversity Information System of the Food and Agriculture Organization of the United Nations, we investigated how factors such as species, region, breed adaptedness, or management system associate with the recognition of provision of a set of 52 ESs. Among species, a greater number of cultural ESs were reported for horses (2.47 for horses vs 0.75 on average across all species), while the major ruminant species (cattle, goats and sheep) were on average associated with more provisioning ESs (2.99 vs 2.39), and more regulating and maintenance ESs (1.86 vs 1.32). Compared to European breeds, African livestock contribute more provisioning ES (3.95 vs 1.88). Native breeds and, to a lesser extent, locally adapted breeds, were linked to more ESs than were exotic breeds (5.97 and 4.10 vs 2.90, respectively), regardless of the ES category considered. The total number of ES reported was greater for breeds primarily kept under Back Yard/Farm Yard and extensive management systems than in other production environments. Different "bundles" of ES were identified in relation to the interdependence among themselves, or according to species or regional specificities. Overall, our results highlight that native and locally adapted breeds, which tend to be raised in less specialized production systems than exotic breeds, are reported to play multiple roles contributing to rural community livelihoods and environmental sustainability of food systems.
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Affiliation(s)
- G Leroy
- Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153 Roma, Italy.
| | - P Boettcher
- Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153 Roma, Italy
| | - F Joly
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genès-Champanelle, France
| | - C Looft
- Neubrandenburg University of Applied Sciences, Brodaer Str. 2, Neubrandenburg, Germany
| | - R Baumung
- Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153 Roma, Italy
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Júnior RNCC, Fernandes LDS, do Carmo Panetto JC, Barbosa da Silva MVG, de Araújo CV, Maciel E Silva AG, Felipe Marques JR, Silva WCD, de Araújo SI, Castro SRSD, Silva LKX, Castro SV, Júnior JDBL. Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. PLoS One 2023; 18:e0288257. [PMID: 37437036 DOI: 10.1371/journal.pone.0288257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 06/22/2023] [Indexed: 07/14/2023] Open
Abstract
The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires.
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Affiliation(s)
- Raimundo Nonato Colares Camargo Júnior
- Postgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), UFRA, Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, PA, Brazil
| | | | | | | | | | | | | | - Welligton Conceição da Silva
- Postgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), UFRA, Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, PA, Brazil
| | | | | | | | | | - José de Brito Lourenço Júnior
- Postgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), UFRA, Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, PA, Brazil
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Adriaens I, Bonekamp G, Ten Napel J, Kamphuis C, De Haas Y. Differences across herds with different dairy breeds in daily milk yield based proxies for resilience. Front Genet 2023; 14:1120073. [PMID: 37333496 PMCID: PMC10270305 DOI: 10.3389/fgene.2023.1120073] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 05/17/2023] [Indexed: 06/20/2023] Open
Abstract
Global sustainability issues such as climate change, biodiversity loss and food security require food systems to become more resource efficient and better embedded in the local environment. This needs a transition towards more diverse, circular and low-input dairy farming systems with animals best suited to the specific environmental conditions. When varying environmental challenges are posed to animals, cows need to become resilient to disturbances they face. This resilience of dairy cows for disturbances can be quantified using sensor features and resilience indicators derived from daily milk yield records. The aim of this study was to explore milk yield based sensor features and resilience indicators for different cattle groups according to their breeds and herds. To this end, we calculated 40 different features to describe the dynamics and variability in milk production of first parity dairy cows. After correction for milk production level, we found that various aspects of the milk yield dynamics, milk yield variability and perturbation characteristics indeed differed across herds and breeds. On farms with a lower breed proportion of Holstein Friesian across cows, there was more variability in the milk yield, but perturbations were less severe upon critical disturbances. Non-Holstein Friesian breeds had a more stable milk production with less (severe) perturbations. These differences can be attributed to differences in genetics, environments, or both. This study demonstrates the potential to use milk yield sensor features and resilience indicators as a tool to quantify how cows cope with more dynamic production conditions and select animals for features that best suit a farms' breeding goal and specific environment.
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Affiliation(s)
- Ines Adriaens
- Animal Breeding and Genomics, Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
- Department of Biosystems, Livestock Technology, KU Leuven, Leuven, Belgium
| | - Gerbrich Bonekamp
- Animal Breeding and Genomics, Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
| | - Jan Ten Napel
- Animal Breeding and Genomics, Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
| | - Claudia Kamphuis
- Animal Breeding and Genomics, Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
| | - Yvette De Haas
- Animal Breeding and Genomics, Wageningen Livestock Research, Wageningen University and Research, Wageningen, Netherlands
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Gazzonis AL, Zanzani SA, Aloisio G, Migliorati E, Villa L, Manfredi MT. Gastrointestinal parasitic infections in intensive dairy cattle breeding: Update on the epidemiology and associated risk factors in northern Italy. Parasitol Int 2022; 91:102641. [PMID: 35933035 DOI: 10.1016/j.parint.2022.102641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 10/16/2022]
Abstract
Parasitic infections such as Strongylida and Eimeria still represent a major health problem of dairy cattle impacting their health, welfare, and productivity. In view of the scarcity of data on risk factors contributing to the spread of parasitic infections in cattle breeding, an epidemiological study in intensive dairy farms in northern Italy was planned. 495 animals (lactating and dry cows, heifers, and calves) from 19 farms were enrolled in the study. Individual fecal samples were analyzed by a quantitative copromicroscopic analysis to detect the number of Strongylida eggs or Eimeria oocysts per gram of faeces (EPG/OPG). Data concerning management, sanitary and biosecurity measures were collected using a questionnaire; a management measures score (MMS) was also calculated. The possible influence of risk factors on Strongylida and Eimeria was thus assessed by statistical analysis using generalized linear mixed models (GLMMs). Eimeria spp. was the most frequently detected parasitic taxon (herd and individual prevalence: 89.5% and 46.2%, respectively), followed by Strongylida (herd and individual prevalence: 63.1% and 16.6%, respectively). The presence of Strongylida resulted associated to the productive category (p-value = 0.028), with heifers and dry cows at higher risk of infection than lactating cows and calves, and to the MMS (p-value = 0.007). Higher prevalence values were recorded in farms with intermediate or low MMS compared to those with optimal MMS. As regard Eimeria infection, a greater effect of MMS on OPG counts was recorded in calves when compared to those recorded in heifers (OR = 0.228, p-value = 0.003) and dry cows (OR = 0.241, p-value = 0.009). Gastrointestinal parasitic infections still remain an underestimated problem in intensive dairy cattle breeding. MMS may help in the choice of strategies aimed at minimizing the impact of parasites on animal health, thus improving the productivity of the entire herd.
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Affiliation(s)
- Alessia Libera Gazzonis
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università, 6, 26900 Lodi, Italy.
| | - Sergio Aurelio Zanzani
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università, 6, 26900 Lodi, Italy
| | - Giulia Aloisio
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università, 6, 26900 Lodi, Italy
| | - Elisa Migliorati
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università, 6, 26900 Lodi, Italy
| | - Luca Villa
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università, 6, 26900 Lodi, Italy
| | - Maria Teresa Manfredi
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università, 6, 26900 Lodi, Italy
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Tangorra FM, Calcante A, Vigone G, Assirelli A, Bisaglia C. Assessment of technical-productive aspects in Italian dairy farms equipped with automatic milking systems: A multivariate statistical analysis approach. J Dairy Sci 2022; 105:7539-7549. [PMID: 35863930 DOI: 10.3168/jds.2021-20859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 04/23/2022] [Indexed: 11/19/2022]
Abstract
The aim of this study was to assess technical-productive aspects of dairy farms equipped with automatic milking system (AMS) in Northern and Central Italy. A survey was carried out on 62 dairy farms selected through convenience sampling with the following inclusion criteria: adoption of robotic milking for at least 1 yr and ability to provide farm data. Data were collected using a structured questionnaire to obtain a general description of farm characteristics and overall management practices. Through the combination of principal component analysis and k-means cluster analysis, the farms were allocated in 3 clusters. The identified clusters were described and afterward compared using one-way ANOVA or a chi-squared test. The main observed differences between clusters were the average number of lactating cows and AMS installed, average annual milk production, average AMS loading, average annual milk yield per full-time employee, average daily milk yield per cow and AMS, and the average annual veterinary costs per cow. cluster 1 (n = 24) included small-to-medium-sized semi-intensive farms with low AMS loading and low average daily milk yield per cow. In this farm typology, the AMS is not fully used and is likely perceived as a means to improve quality of life rather than profitability. Clusters 2 (n = 31) and 3 (n = 7) included, respectively, small-medium-sized and large intensive farms. These 2 farm typologies are characterized by an intensive approach to dairy cattle breeding, with average higher AMS loading, labor efficiency, and milk yield compared with the farms of cluster 1, likely due to better farm management. This classification could help dairy technicians give farmers customized management advice for the function of the cluster they belong to, and farmers falling in a specific cluster could evaluate whether they are reaching their objectives.
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Affiliation(s)
- F M Tangorra
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università 6, 26900 Lodi, Italy.
| | - A Calcante
- Department of Agricultural and Environmental Sciences Production Territory Agroenergy, Università degli Studi di Milano, Via Celoria 2, 20133 Milan, Italy
| | - G Vigone
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - A Assirelli
- CREA-Centro di ricerca Ingegneria e Trasformazioni agroalimentari, Via la Pascolare 16, 00015 Monterotondo Scalo RM, Italy
| | - C Bisaglia
- CREA-Centro di ricerca Ingegneria e Trasformazioni agroalimentari, Via Milano 43, 24047 Treviglio (BG), Italy
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Stergiadis S, Qin N, Faludi G, Beauclercq S, Pitt J, Desnica N, Pétursdóttir ÁH, Newton EE, Angelidis AE, Givens I, Humphries DJ, Gunnlaugsdóttir H, Juniper DT. Mineral Concentrations in Bovine Milk from Farms with Contrasting Grazing Management. Foods 2021; 10:2733. [PMID: 34829015 PMCID: PMC8620383 DOI: 10.3390/foods10112733] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/03/2021] [Accepted: 11/04/2021] [Indexed: 11/19/2022] Open
Abstract
Thirty conventional and twenty-four organic dairy farms were divided into equal numbers within system groups: high-pasture, standard-pasture, and low-pasture groups. Milk samples were collected monthly for 12 consecutive months. Milk from high-pasture organic farms contained less fat and protein than standard- and low-pasture organic farms, but more lactose than low-pasture organic farms. Grazing, concentrate feed intake and the contribution of non-Holstein breeds were the key drivers for these changes. Milk Ca and P concentrations were lower in standard-pasture conventional farms than the other conventional groups. Milk from low-pasture organic farms contained less Ca than high- and standard-pasture organic farms, while high-pasture organic farms produced milk with the highest Sn concentration. Differences in mineral concentrations were driven by the contribution of non-Holstein breeds, feeding practices, and grazing activity; but due to their relatively low numerical differences between groups, the subsequent impact on consumers' dietary mineral intakes would be minor.
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Affiliation(s)
- Sokratis Stergiadis
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK; (N.Q.); (G.F.); (S.B.); (J.P.); (E.E.N.); (A.E.A.); (D.T.J.)
| | - Nanbing Qin
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK; (N.Q.); (G.F.); (S.B.); (J.P.); (E.E.N.); (A.E.A.); (D.T.J.)
| | - Gergely Faludi
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK; (N.Q.); (G.F.); (S.B.); (J.P.); (E.E.N.); (A.E.A.); (D.T.J.)
- Georgikon Campus, Szent Istvan University, Deák Ferenc u. 16, H-8360 Keszthely, Hungary
| | - Stephane Beauclercq
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK; (N.Q.); (G.F.); (S.B.); (J.P.); (E.E.N.); (A.E.A.); (D.T.J.)
| | - Joe Pitt
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK; (N.Q.); (G.F.); (S.B.); (J.P.); (E.E.N.); (A.E.A.); (D.T.J.)
| | - Natasa Desnica
- Matís Ltd., Vinlandsleid 12, 113 Reykjavik, Iceland; (N.D.); (Á.H.P.); (H.G.)
| | | | - Eric E. Newton
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK; (N.Q.); (G.F.); (S.B.); (J.P.); (E.E.N.); (A.E.A.); (D.T.J.)
| | - Angelos E. Angelidis
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK; (N.Q.); (G.F.); (S.B.); (J.P.); (E.E.N.); (A.E.A.); (D.T.J.)
| | - Ian Givens
- Institute for Food, Nutrition and Health, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK;
| | - David J. Humphries
- Centre for Dairy Research, School of Agriculture, Policy and Development, University of Reading, Hall Farm House, Church Ln, Reading RG2 9HX, UK;
| | - Helga Gunnlaugsdóttir
- Matís Ltd., Vinlandsleid 12, 113 Reykjavik, Iceland; (N.D.); (Á.H.P.); (H.G.)
- Faculty of Food Science and Nutrition, School of Health Sciences, University Iceland, 102 Reykjavik, Iceland
| | - Darren T. Juniper
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK; (N.Q.); (G.F.); (S.B.); (J.P.); (E.E.N.); (A.E.A.); (D.T.J.)
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Brodziak A, Wajs J, Zuba-Ciszewska M, Król J, Stobiecka M, Jańczuk A. Organic versus Conventional Raw Cow Milk as Material for Processing. Animals (Basel) 2021; 11:ani11102760. [PMID: 34679781 PMCID: PMC8532914 DOI: 10.3390/ani11102760] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/12/2021] [Accepted: 07/13/2021] [Indexed: 01/10/2023] Open
Abstract
Milk, as one of the basic raw materials of animal origin, must be of adequate hygienic and physicochemical quality for processing. The aim of the article was to compare the quality of raw milk from three production systems, intensive, traditional (together referred to as conventional), and organic, as material for processing, as well as the quality of products made from it. Particular attention was focused on hygienic quality (somatic cell count and total bacterial count), physical characteristics (acidity), basic nutritional value (content of dry matter, total protein, casein, fat, and lactose), content of health-promoting substances (whey proteins, fatty acids, vitamins, and minerals), and technological parameters (rennet clotting time, heat stability, and protein-to-fat ratio). Research assessing the quality of organic milk and dairy products is significantly less extensive (if available at all) than for milk from conventional production (intensive and traditional). The available reports indicate that raw milk from organic farms is more valuable, especially in terms of the content of health-promoting compounds, including vitamins, fatty acids, whey proteins, and minerals. This applies to organic dairy products as well, mainly cheese and yoghurt. This is explained by the fact that organic farming requires that animals are kept in the pasture. However, the hygienic quality of the raw milk, and often the products as well, raises some concerns; for this reason, organic milk producers should be supported in this regard, e.g., through consultancy and training in Good Hygienic Practices. Importantly, milk production in the traditional and organic systems is in line with the concept of the European Green Deal.
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Affiliation(s)
- Aneta Brodziak
- Institute of Quality Assessment and Processing of Animal Products, Faculty of Animal Sciences and Bioeconomy, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland; (A.B.); (J.K.); (M.S.); (A.J.)
| | - Joanna Wajs
- Institute of Quality Assessment and Processing of Animal Products, Faculty of Animal Sciences and Bioeconomy, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland; (A.B.); (J.K.); (M.S.); (A.J.)
- Correspondence: ; Tel.: +48-814456836
| | - Maria Zuba-Ciszewska
- Institute of Economics and Finance, Faculty of Social Sciences, The John Paul II Catholic University of Lublin, Racławickie 14, 20-950 Lublin, Poland;
| | - Jolanta Król
- Institute of Quality Assessment and Processing of Animal Products, Faculty of Animal Sciences and Bioeconomy, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland; (A.B.); (J.K.); (M.S.); (A.J.)
| | - Magdalena Stobiecka
- Institute of Quality Assessment and Processing of Animal Products, Faculty of Animal Sciences and Bioeconomy, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland; (A.B.); (J.K.); (M.S.); (A.J.)
| | - Anna Jańczuk
- Institute of Quality Assessment and Processing of Animal Products, Faculty of Animal Sciences and Bioeconomy, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland; (A.B.); (J.K.); (M.S.); (A.J.)
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Brito LF, Bedere N, Douhard F, Oliveira HR, Arnal M, Peñagaricano F, Schinckel AP, Baes CF, Miglior F. Review: Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world. Animal 2021; 15 Suppl 1:100292. [PMID: 34294547 DOI: 10.1016/j.animal.2021.100292] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 11/28/2022] Open
Abstract
The massive improvement in food production, as a result of effective genetic selection combined with advancements in farming practices, has been one of the greatest achievements of modern agriculture. For instance, the dairy cattle industry has more than doubled milk production over the past five decades, while the total number of cows has been reduced dramatically. This was achieved mainly through the intensification of production systems, direct genetic selection for milk yield and a limited number of related traits, and the use of modern technologies (e.g., artificial insemination and genomic selection). Despite the great betterment in production efficiency, strong drawbacks have occurred along the way. First, across-breed genetic diversity reduced dramatically, with the worldwide use of few common dairy breeds, as well as a substantial reduction in within-breed genetic diversity. Intensive selection for milk yield has also resulted in unfavorable genetic responses for traits related to fertility, health, longevity, and environmental sensitivity. Moving forward, the dairy industry needs to continue refining the current selection indexes and breeding goals to put greater emphasis on traits related to animal welfare, health, longevity, environmental efficiency (e.g., methane emission and feed efficiency), and overall resilience. This needs to be done through the definition of criteria (traits) that (a) represent well the biological mechanisms underlying the respective phenotypes, (b) are heritable, and (c) can be cost-effectively measured in a large number of animals and as early in life as possible. The long-term sustainability of the dairy cattle industry will also require diversification of production systems, with greater investments in the development of genetic resources that are resilient to perturbations occurring in specific farming systems with lesser control over the environment (e.g., organic, agroecological, and pasture-based, mountain-grazing farming systems). The conservation, genetic improvement, and use of local breeds should be integrated into the modern dairy cattle industry and greater care should be taken to avoid further genetic diversity losses in dairy cattle populations. In this review, we acknowledge the genetic progress achieved in high-yielding dairy cattle, closely related to dairy farm intensification, that reaches its limits. We discuss key points that need to be addressed toward the development of a robust and long-term sustainable dairy industry that maximize animal welfare (fundamental needs of individual animals and positive welfare) and productive efficiency, while also minimizing the environmental footprint, inputs required, and sensitivity to external factors.
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Affiliation(s)
- L F Brito
- Department of Animal Sciences, Purdue University, 270 S. Russell Street, West Lafayette, IN 47 907, USA.
| | - N Bedere
- INRAE, Institut Agro, PEGASE, 35 590 Saint-Gilles, France
| | - F Douhard
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France
| | - H R Oliveira
- Department of Animal Sciences, Purdue University, 270 S. Russell Street, West Lafayette, IN 47 907, USA; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada
| | - M Arnal
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France; Institut de l'Elevage, Chemin de Borde Rouge, 31 326 Castanet-Tolosan cedex, France
| | - F Peñagaricano
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53 706, USA
| | - A P Schinckel
- Department of Animal Sciences, Purdue University, 270 S. Russell Street, West Lafayette, IN 47 907, USA
| | - C F Baes
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada; Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern 3 000, Switzerland
| | - F Miglior
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada
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Springer A, Jordan D, Kirse A, Schneider B, Campe A, Knubben-Schweizer G, Müller KE, Hoedemaker M, Strube C. Seroprevalence of Major Pasture-Borne Parasitoses (Gastrointestinal Nematodes, Liver Flukes and Lungworms) in German Dairy Cattle Herds, Association with Management Factors and Impact on Production Parameters. Animals (Basel) 2021; 11:ani11072078. [PMID: 34359205 PMCID: PMC8300236 DOI: 10.3390/ani11072078] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 11/25/2022] Open
Abstract
Simple Summary Pasture-borne worm infections impact cattle health and productivity worldwide. The present study assessed exposure of dairy cattle herds to the three most important pastural parasites, i.e., gastrointestinal worms, liver flukes and lungworms, in three parts of Germany by measuring antibodies in bulk tank milk samples. The results show a high level of exposure to gastrointestinal worms, while antibodies against liver flukes were less frequently detected and lungworm-positive herds were rare. Regional and breed differences regarding parasite exposure were detected. In addition, the presence of antibodies was associated with access to fresh grass, access to hay, silage quality and deworming frequency. Furthermore, parasite exposure was significantly associated with a poor body condition across all regions. Parasite-exposed cows of high-performance breeds also produced on average less milk per year than dual-purpose breeds. Abstract Pasture-borne parasites adversely affect bovine health and productivity worldwide. In Europe, gastrointestinal nematodes, especially Ostertagia ostertagi, the liver fluke Fasciola hepatica and the lungworm Dictyocaulus viviparus represent the most important parasites of dairy cattle. The present study assessed exposure towards these parasites among 646 cattle herds in three parts of Germany during 2017–2019 via antibody detection in bulk tank milk (BTM). Overall, O. ostertagi levels indicative of production losses were detected in 41.2% (266/646; 95% confidence interval (CI): 37.4–45.1%) of BTM samples, while F. hepatica seroprevalence amounted to 14.9% (96/646; 95% CI: 12.2–17.9%). Only 2.3% (15/646; 95% CI: 1.4–3.9%) of samples were D. viviparus antibody-positive. Significantly lower O. ostertagi as well as F. hepatica seroprevalence was detected in dual-purpose breeds compared to high-performance breeds from the same region. Management factors related to parasite exposure included access to fresh grass and hay, silage quality and anthelmintic treatment. Furthermore, F. hepatica and O. ostertagi seropositivity was significantly associated with suboptimal herd-level body condition. Interestingly, the relationship between seropositivity and productivity differed between breed types. Negative impacts on milk yield were detected only in high-performance breeds, while O. ostertagi seropositivity was associated with a lower milk fat content in dual-purpose herds.
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Affiliation(s)
- Andrea Springer
- Centre for Infection Medicine, Institute for Parasitology, University of Veterinary Medicine Hannover, 30559 Hanover, Germany; (A.S.); (D.J.)
| | - Daniela Jordan
- Centre for Infection Medicine, Institute for Parasitology, University of Veterinary Medicine Hannover, 30559 Hanover, Germany; (A.S.); (D.J.)
| | - Alina Kirse
- Department of Biometry, Epidemiology and Information Processing (IBEI), WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, 30559 Hanover, Germany; (A.K.); (B.S.); (A.C.)
| | - Bettina Schneider
- Department of Biometry, Epidemiology and Information Processing (IBEI), WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, 30559 Hanover, Germany; (A.K.); (B.S.); (A.C.)
| | - Amely Campe
- Department of Biometry, Epidemiology and Information Processing (IBEI), WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, 30559 Hanover, Germany; (A.K.); (B.S.); (A.C.)
| | - Gabriela Knubben-Schweizer
- Clinic for Ruminants with Ambulatory and Herd Health Services, Ludwig-Maximilians-Universität Munich, 85764 Oberschleißheim, Germany;
| | - Kerstin E. Müller
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, Free University of Berlin, 14163 Berlin, Germany;
| | - Martina Hoedemaker
- Clinic for Cattle, University of Veterinary Medicine Hannover, 30173 Hanover, Germany;
| | - Christina Strube
- Centre for Infection Medicine, Institute for Parasitology, University of Veterinary Medicine Hannover, 30559 Hanover, Germany; (A.S.); (D.J.)
- Correspondence: ; Tel.: +49-511-9538711
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Clasen JB, Kargo M, Fikse W, Strandberg E, Wallenbeck A, Østergaard S, Rydhmer L. Conservation of a native dairy cattle breed through terminal crossbreeding with commercial dairy breeds. ACTA AGR SCAND A-AN 2021. [DOI: 10.1080/09064702.2020.1867632] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- J. B. Clasen
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - M. Kargo
- Center for Quantitative Genetics and Genomics, Faculty of Science and Technology, Aarhus University, Tjele, Denmark
- SEGES, Danish Agriculture & Food Council, Agro Food Park, Aarhus N, Denmark
| | - W.F. Fikse
- Växa Sverige, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - E. Strandberg
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - A. Wallenbeck
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Department of Animal Environment and Health, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - S. Østergaard
- Department of Animal Science, Science and Technology, Aarhus University, Tjele, Denmark
| | - L. Rydhmer
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
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Davis H, Stergiadis S, Chatzidimitriou E, Sanderson R, Leifert C, Butler G. Meeting Breeding Potential in Organic and Low-Input Dairy Farming. Front Vet Sci 2020; 7:544149. [PMID: 33195517 PMCID: PMC7655643 DOI: 10.3389/fvets.2020.544149] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 09/16/2020] [Indexed: 11/18/2022] Open
Abstract
Low-input (LI) dairy farming, relying heavily on grazing, is increasing in popularity for perceived sustainability, welfare, and milk nutritional quality benefits. However, there is little research into the breed suitability for these systems. The popular Holstein–Friesians are not well-suited to LI production as, to achieve their potential high yields, they require high levels of concentrate intakes and veterinary inputs. Holstein–Friesians were traditionally bred for high milk yields, which often correlate negatively with functional traits, such as fertility and health. This drives the need for alternative breed choices, and UK dairy farmers use several crossbreeding practices. Additionally, classic measures of production efficiency (kilogram feed per liter of milk) are not the sole priority in LI systems, which also aim for improved health, fertility, forage conversion, and milk quality. This study aimed to explore the effect of breeding strategy on LI and organic production in dairy systems, collecting data from 17 farms throughout England and Wales: 7 organic and 10 low-input conventional systems with both purebred and crossbred cows from different breeds. Records from 1,070 cows were collected, including background data, health, fertility, breeding, and parity. Additionally, milk was analyzed on four occasions (autumn 2011 and winter, spring, and summer 2012). Principal components analysis was used to visualize the effect of management, Farm ID, and stage of lactation on LI production. The analysis clustered cows by Farm ID, showing that individual management practice on each farm had the greatest impact on various production traits. Cows were allocated a composite score based on their yield, health records, and milk fatty acid profile, and a linear mixed-effects model indicated (p < 0.01) that crossbred New Zealand Friesian cows scored highest, whereas Dairy Shorthorn cows scored the lowest. This paper highlights weaknesses in current breeding programs for LI and organic farms in the UK, in terms of the alignment of breeds with husbandry practices. Additional research is needed to explore any gene by environment interactions to meet the true potential of individual cows and certain breeds under LI and organic management.
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Affiliation(s)
- Hannah Davis
- School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Sokratis Stergiadis
- Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom
| | - Eleni Chatzidimitriou
- French Agency for Food Environmental and Occupational Health and Safety (ANSES), Regulated Products Assessment Department, Residues and Food Safety Unit, Maisons-Alfort, France
| | - Roy Sanderson
- School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Carlo Leifert
- Centre for Organics Research, Southern Cross University, Lismore, NSW, Australia
| | - Gillian Butler
- School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
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Rodríguez-Bermúdez R, Miranda M, Fouz R, Orjales I, Diéguez FJ, Minervino AHH, López-Alonso M. Breed performance in organic dairy farming in Northern Spain. Reprod Domest Anim 2019; 55:93-104. [PMID: 31765032 DOI: 10.1111/rda.13595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 11/21/2019] [Indexed: 11/27/2022]
Abstract
Organic farm management combines best environmental practices, a high level of biodiversity, preservation of natural resources and high animal welfare standards. To meet these criteria, farmers must have livestock well adapted to local organic conditions and information about how different breeds and crosses perform under different conditions. The objective of this study was to compare the performance of different pure breeds and cross-breeds of cattle in organic dairy systems in Northern Spain. The data analysed were obtained from monthly records kept between 2010 and 2016 on organic farms registered in the regional milk recording system. Analysis of various traits indicated that the Holstein-Friesian breed suits the organic production system in the study region. Although the reproductive performance of Holstein-Friesian cows was poorer (in terms of number of services per conception) than that of cross-breed and Brown Swiss cows, the Holstein-Friesian produced more milk and lived longer. In addition, there was no difference in calving type or calving ease between the different breed groups. The better milk fat and protein yields produced by the crosses may be useful traits for farmers interested in milk transformation. The advantage of continuing to use Holstein-Friesian cattle is that the breed is predominant worldwide, and the genealogy is well documented. If Holstein-Friesian cattle continue to be used, the main priority will be to search for well-adapted bulls (particularly for pasture-based conditions) and to elaborate a genetic merit index for organic and pasture-based systems with the aim of predicting and minimizing genotype × environment interactions.
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Affiliation(s)
- Ruth Rodríguez-Bermúdez
- Departamento de Patoloxía Animal, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
| | - Marta Miranda
- Departamento de Anatomía, Produción Animal e Ciencias Clínicas Veterinarias, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
| | | | - Inmaculada Orjales
- Departamento de Anatomía, Produción Animal e Ciencias Clínicas Veterinarias, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
| | - Francisco Javier Diéguez
- Departamento de Anatomía, Produción Animal e Ciencias Clínicas Veterinarias, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
| | | | - Marta López-Alonso
- Departamento de Patoloxía Animal, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo, Spain
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