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Section = Dairy Small Ruminants

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13 pages, 344 KiB  
Article
Designing Selection Indices for the Florida Dairy Goat Breeding Program
by Chiraz Ziadi, Manuel Sánchez, Eva Muñoz-Mejías and Antonio Molina
Dairy 2023, 4(4), 606-618; https://doi.org/10.3390/dairy4040042 - 14 Nov 2023
Viewed by 1133
Abstract
The aim of this study was to compare selection indices for important traits in intensive Spanish goat breeds in four economic scenarios, using the Florida as most representative breed of this production system in Spain. For this analysis, we considered the following traits: [...] Read more.
The aim of this study was to compare selection indices for important traits in intensive Spanish goat breeds in four economic scenarios, using the Florida as most representative breed of this production system in Spain. For this analysis, we considered the following traits: milk yield (MY), fat plus protein yields (FPY), casein yield (CY), somatic cell score (SCS), reproductive efficiency (RE), litter size (LS), mammary system (MS), final score (FS), body capacity index (BCI), and length of productive life (LPL). We estimated the genetic parameters and EBVs of most of these traits with REML methodology, while LPL was modeled through survival analysis. Four scenarios were proposed, depending on the overall objective for improvement: (1) milk production, (2) milk production and cheese extract, (3) cheese extract, and (4) milk production, cheese extract and sale of animals. Then, within each scenario, three different types of indices were designed using the different primary and secondary objectives/criteria considered suitable to improve the overall objective. The results indicated that selecting only for primary traits yielded the highest genetic response for all the scenarios. Including secondary traits led to positive correlated responses in those traits, but a decrease in the responses in the primary criteria. Full article
(This article belongs to the Section Dairy Small Ruminants)
12 pages, 297 KiB  
Review
Essential Oil Supplementation in Small Ruminants: A Review on Their Possible Role in Rumen Fermentation, Microbiota, and Animal Production
by Mariangela Caroprese, Maria Giovanna Ciliberti, Rosaria Marino, Antonella Santillo, Agostino Sevi and Marzia Albenzio
Dairy 2023, 4(3), 497-508; https://doi.org/10.3390/dairy4030033 - 13 Sep 2023
Cited by 5 | Viewed by 2168
Abstract
Essential oils are bioactive compounds, originating from the secondary metabolism of plants, recognized for their ability to modify rumen fermentation, gut health, and to function as antioxidant molecules in small ruminants. Indeed, small ruminant-derived products, such as milk, dairy, and meat can benefit [...] Read more.
Essential oils are bioactive compounds, originating from the secondary metabolism of plants, recognized for their ability to modify rumen fermentation, gut health, and to function as antioxidant molecules in small ruminants. Indeed, small ruminant-derived products, such as milk, dairy, and meat can benefit from the utilization of essential oils, that have demonstrated antimicrobial, antioxidant and anti-inflammatory affects, in the animals’ diet. This review reports on the findings that demonstrates the possible role of essential oils in controlling greenhouse gas emissions from ruminants through the modulation of ruminal microbial populations, in sustaining animal health and welfare by affecting the gut microbiota, and in ameliorating animals’ products through enhancement of their nutritional composition from a human diet perspective. However, the current review highlighting the inconclusive findings related to the use of essential oils in small ruminant nutrition, supports the need of further studies to better understand the administration of how essential oils and to explore their specific actions at the molecular level. Full article
(This article belongs to the Section Dairy Small Ruminants)
17 pages, 860 KiB  
Review
Physiological Aspects of Milk Somatic Cell Count in Small Ruminants—A Review
by Shehadeh Kaskous, Sabine Farschtschi and Michael W. Pfaffl
Dairy 2023, 4(1), 26-42; https://doi.org/10.3390/dairy4010002 - 30 Dec 2022
Cited by 19 | Viewed by 4320
Abstract
The aim of this review was to focus on the physiological aspects of milk somatic cell count (SCC) in small ruminants (SM). The SCC is an important component naturally present in milk and is generally used as an indicator of milk quality and [...] Read more.
The aim of this review was to focus on the physiological aspects of milk somatic cell count (SCC) in small ruminants (SM). The SCC is an important component naturally present in milk and is generally used as an indicator of milk quality and udder health in milk producing ruminants. SCC contains the following cells: polymorphonuclear neutrophils (PMN), macrophages, lymphocytes, and many milk epithelial (MEC) cells, cell fragments, and cytoplasmic particles/vesicles. PMN (40–80%) represent the major cell type in milk in healthy uninfected goats, whereas the macrophages (45–88%) are the major cell type in sheep’s milk. However, dairy goats and sheep have an apocrine secretory system that produces cytoplasmic cellular particles/vesicles and large numbers of cell fragments, resulting in the physiological SCC limit being exceeded. It is obvious that the SCC level in milk of SM can be affected by various influencing factors, such as milk fraction, breed, stage of lactation, parity, type of birth, milking system, and others. An increase in the SCC above the physiological level not only indicates an udder or general health problem but reduces milk production, changes the milk composition, and hence affects milk processing. Moreover, the milking machine plays an important role in maintaining udder health in SM and stable SCC at physiological levels in the milk obtained. So far, there are no healthy or pathological physiological SCC levels defined in SM milk. Furthermore, a differential cell count (DCC) or even a high resolution DCC (HRDCC), which were recently developed for cattle milk, could also help in SM to gain deeper insight into the immunology of the mammary gland and find biomarkers to assess udder health. In conclusion, SCC is an indication of udder health or exposure of the udder to infectious agents or mechanical stress and should therefore always be considered a warning sign. Full article
(This article belongs to the Section Dairy Small Ruminants)
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Graphical abstract

Graphical abstract
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<p>SCC level during lactation in Syrian Awassi ewes. SCCR: Somatic cell count in the right half of the udder; SCCL: Somatic cell count in the left half of the udder; log SCC: logarithmic somatic cell count. “Reprinted/adapted with permission from Ref. [<xref ref-type="bibr" rid="B43-dairy-04-00002">43</xref>]. Copyright year 2021, copyright owner’s name Kaskous”. More details on “Copyright and Licensing” are available via the following link: <uri>https://www.mdpi.com/ethics#10</uri>.</p>
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<p>Goats were milked with the new milking machines from Siliconform-Germany (pictures from Kaskous, 2020). Permission has been obtained and there is no copyright issue.</p>
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13 pages, 1881 KiB  
Article
Seasonal Variations of Milk Composition of Sarda and Saanen Dairy Goats
by Paola Scano and Pierluigi Caboni
Dairy 2022, 3(3), 528-540; https://doi.org/10.3390/dairy3030038 - 25 Jul 2022
Cited by 9 | Viewed by 2984
Abstract
Traditionally, in Mediterranean areas the goat population was composed of autochthonous breeds with strong milk production seasonality. In the last decades, high productive alpine breeds were introduced together with more widespread out-of-season milk production practices. This study is a large-scale survey on the [...] Read more.
Traditionally, in Mediterranean areas the goat population was composed of autochthonous breeds with strong milk production seasonality. In the last decades, high productive alpine breeds were introduced together with more widespread out-of-season milk production practices. This study is a large-scale survey on the seasonal variations of the main compositional characteristics of goat milk obtained from Sarda and Saanen breeds reared on the Mediterranean island of Sardinia (Italy). Analysis of data indicated that milk from the Sarda breed was significantly richer, at p < 0.001, in protein, fat, and lactose, and had a lower urea mean content than Saanen. Throughout the year, fluctuations of mean contents of the milk parameters were similar for the two groups of goats, indicating that, besides genetic intrinsic differences, climate and herbage growth influenced the Sarda as well as the Saanen goats. During the summer, milk from Saanen showed a marked drop in fat and protein contents, with 21% of samples showing a fat-to-protein ratio <1. No significant differences were found for the somatic cell count; however, the Sarda breed showed a higher bacterial count, suggesting improper milk handling and/or storage equipment more frequently encountered in extensive and semi-extensive farm systems. Full article
(This article belongs to the Section Dairy Small Ruminants)
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Figure 1
<p>Number of collected milk samples per month over four years.</p>
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<p>Monthly mean contents of: (<b>a</b>) fat; (<b>b</b>) protein; (<b>c</b>) fat-to-protein ratio; (<b>d</b>) box and whisker plots of fat-to-protein ratio (boxes indicate the mean and SD, whiskers the lower and upper quartile, the green line indicates the value of one). Data are reported for the Sarda (blue line and diamonds) and Saanen (red line and squares) groups of milk samples.</p>
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<p>Monthly mean contents of: (<b>a</b>) lactose; (<b>b</b>) urea. Data are reported for the Sarda (blue line and diamonds) and Saanen (red line and squares) groups of milk samples.</p>
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<p>Monthly calculated mean % contents of: (<b>a</b>) saturated fatty acids (SFA); (<b>b</b>) unsaturated fatty acids (MUFA); (<b>c</b>) polyunsaturated fatty acids (PUFA). Data are reported for the Sarda (blue line and diamonds) and Saanen (red line and squares) groups of milk samples.</p>
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<p>Monthly mean contents of: (<b>a</b>) log 10 SCC (decadic logarithm of somatic cell count); (<b>b</b>) log 10 TBC (decadic logarithm of total bacterial count). Data are reported for the Sarda (blue line and diamonds) and Saanen (red line and squares) groups of milk samples.</p>
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18 pages, 6059 KiB  
Article
Laboratory Tests to Optimize the Milking Machine Settings with Air Inlet Teat Cups for Sheep and Goats
by Shehadeh Kaskous
Dairy 2022, 3(1), 29-46; https://doi.org/10.3390/dairy3010003 - 10 Jan 2022
Cited by 6 | Viewed by 4510
Abstract
Milking machine design and performance are directly related to the milkability of sheep and goats, with the aim of milking quickly, completely and gently. This leads to an increase in the milk yield with improved quality, and the maintenance of healthy udders. The [...] Read more.
Milking machine design and performance are directly related to the milkability of sheep and goats, with the aim of milking quickly, completely and gently. This leads to an increase in the milk yield with improved quality, and the maintenance of healthy udders. The aim of this study was to carry out laboratory tests to determine the optimal level of vacuum, pulsation rate and pulsation ratio of new milking machines in high and low milk lines for sheep and goats. This study was conducted at the Department of Research and Development, Siliconform, Germany. For this purpose, different levels of vacuum (32, 34, 36, 38 and 40 kPa), milk jet (2, 2.5, 3 and 4 mm), milk line (high line and low line) and pulsation ratio (50:50 and 60:40) were used. First minute water flow (1st WF/kg) was used as an indicator for assessing the best combination in the milking machine. In addition, the cyclic vacuum fluctuation was measured in the inner chamber of the teat cup during the 1st WF/kg with the aid of a Vacuscope device. Statistical analysis was conducted using the mixed procedure in SAS. Our results show that the vacuum level, the milk jet and the pulsation ratio had a significant influence (p < 0.05) on the 1st WF/kg in the two milking machines for goats and sheep. In conclusion, the ideal conditions for milking goats with air inlet teat cups in the milking machine are a vacuum level of 36–38 kPa (low line) and 38–40 kPa (high line), a pulsation rate of 90 cycles/min and a pulsation ratio of 60:40, while the ideal conditions in the sheep milking machines are a vacuum level of 35–36 kPa (low line) and 36–38 kPa (high line), a pulsation rate of 120 cycles/min and a pulsation ratio of 60:40 or 50:50. Full article
(This article belongs to the Section Dairy Small Ruminants)
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Figure 1
<p>Cyclical vacuum fluctuations in the pulsation and inner chambers of the teat cup during milking the 1st WF in the sheep milking machine with the following settings: 34 vacuum level (kPa), 120 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
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<p>Cyclical vacuum fluctuations in the pulsation and inner chambers of the teat cup during the 1st WF in the sheep milking machine with the following settings: 36 vacuum level (kPa), 120 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
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<p>Cyclical vacuum fluctuations in the pulsation and inner chambers of the teat cup during milking the 1st WF in the sheep milking machine with the following settings: 38 vacuum level (kPa), 120 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
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<p>Cyclical vacuum fluctuations in the pulsation and inner chambers of the teat cup during milking the 1st WF in the sheep milking machine with the following settings: 40 vacuum level (kPa), 120 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
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<p>Cyclical vacuum fluctuations in the pulsation and inner chambers of the teat cup during the 1st WF in the goat milking machine, with the following settings: 34 vacuum level (kPa), 90 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
Full article ">Figure 5 Cont.
<p>Cyclical vacuum fluctuations in the pulsation and inner chambers of the teat cup during the 1st WF in the goat milking machine, with the following settings: 34 vacuum level (kPa), 90 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
Full article ">Figure 6
<p>Cyclical vacuum fluctuations in the pulsation and inner chambers of the teat cup during the 1st WF in the goat milking machine, with the following settings: 36 vacuum level (kPa), 90 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
Full article ">Figure 7
<p>Cyclical vacuum fluctuations in the pulsation and inner chambers of the teat cup during the 1st WF in the goat milking machine, with the following settings: 38 vacuum level (kPa), 90 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
Full article ">Figure 8
<p>Cyclical vacuum fluctuations in the pulsation and inner chamber of the teat cup during the 1st WF in the goat milking machine, with the following settings: 40 vacuum level (kPa), 90 pulsation rate (cycles/min) and 60:40 pulsation ratio.</p>
Full article ">Scheme 1
<p>Overview on methodology of the parameters of two areas: milking system and the animals (dairy goat and sheep).</p>
Full article ">Scheme 2
<p>Examination parameters used in the Siliconform laboratory.</p>
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3 pages, 166 KiB  
Editorial
Innovation Meets Tradition in the Sheep and Goat Dairy Industry
by Paola Scano and Pierluigi Caboni
Dairy 2021, 2(3), 422-424; https://doi.org/10.3390/dairy2030033 - 5 Aug 2021
Viewed by 2163
Abstract
Small ruminants, such as sheep and goats, are mostly raised in smallholder farming systems widely distributed throughout the world [...] Full article
(This article belongs to the Special Issue Innovation Meets Tradition in the Sheep and Goat Dairy Industry)
12 pages, 2071 KiB  
Article
Changes in Native Whey Protein Content, Gel Formation, and Endogenous Enzyme Activities Induced by Flow-Through Heat Treatments of Goat and Sheep Milk
by Golfo Moatsou, Ekaterini Moschopoulou, Evangelia Zoidou, Aggeliki Kamvysi, Dimitra Liaskou, Vassiliki Tsigkou and Lambros Sakkas
Dairy 2021, 2(3), 410-421; https://doi.org/10.3390/dairy2030032 - 3 Aug 2021
Cited by 5 | Viewed by 2878
Abstract
The aim of the present study was to assess the effects of different flow-through heat treatments—68, 73, 78, 85, 100 °C for 16 s—applied to in-line homogenized goat and sheep milk. Alkaline phosphatase (ALP) activity in raw goat milk was 324.5 ± 47.3 [...] Read more.
The aim of the present study was to assess the effects of different flow-through heat treatments—68, 73, 78, 85, 100 °C for 16 s—applied to in-line homogenized goat and sheep milk. Alkaline phosphatase (ALP) activity in raw goat milk was 324.5 ± 47.3 μg phenol/mL, and that of lactoperoxidase (LPO) was 199.3 ± 6.7 U/L. The respective activities in raw sheep milk were 7615 ± 141 μg phenol/mL and 319 ± 38.6 U/L. LPO activity was not detected in both milk kinds treated at 85 °C for 16 s. Residual enzyme activities at 73 °C for 16 s with respect to the initial levels in raw milk were higher in goat than in sheep milk. The whey protein fraction of sheep milk was more heat sensitive compared to goat counterpart. Sheep milk rennet clotting time (RCT) was not affected by the treatments, while curd firmness decreased significantly (p < 0.05) at 100 °C for 16 s. Treatments more intense than 73 °C for 16 s increased the RCT of goat milk significantly but inconsistently and decreased curd firmness significantly, while yoghurt-type gels made from 73 °C or 78 °C for 16 s treated goat milk exhibited the highest water-holding capacity. Full article
(This article belongs to the Section Dairy Small Ruminants)
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Figure 1
<p>Effect of continuous flow-through treatments at different temperatures for 16 s on the β-lg/α-la and SN/TN ratios of goat and sheep milk. Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) between the treatments of each milk kind.</p>
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<p>Post-acidification expressed as % lactic acid and pH changes of yoghurt-type gels made from heat-treated homogenized goat milk, after inoculation with yoghurt starter and incubation at 43 °C. G2, 73 °C/16 s; G3, 78 °C/16 s; G4, 85 °C/16 s; G5, 100 °C/16 s; G6, 90 °C/5 min. Control C7, reconstituted cow skim milk powder, 90 °C/5 min.</p>
Full article ">Figure 2 Cont.
<p>Post-acidification expressed as % lactic acid and pH changes of yoghurt-type gels made from heat-treated homogenized goat milk, after inoculation with yoghurt starter and incubation at 43 °C. G2, 73 °C/16 s; G3, 78 °C/16 s; G4, 85 °C/16 s; G5, 100 °C/16 s; G6, 90 °C/5 min. Control C7, reconstituted cow skim milk powder, 90 °C/5 min.</p>
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10 pages, 1516 KiB  
Communication
GC-MS Metabolomics and Antifungal Characteristics of Autochthonous Lactobacillus Strains
by Paola Scano, M. Barbara Pisano, Antonio Murgia, Sofia Cosentino and Pierluigi Caboni
Dairy 2021, 2(3), 326-335; https://doi.org/10.3390/dairy2030026 - 23 Jun 2021
Cited by 10 | Viewed by 3872
Abstract
Lactobacillus strains with the potential of protecting fresh dairy products from spoilage were studied. Metabolism and antifungal activity of different L. plantarum, L. brevis, and L. sakei strains, isolated from Sardinian dairy and meat products, were assessed. The metabolite fingerprint of [...] Read more.
Lactobacillus strains with the potential of protecting fresh dairy products from spoilage were studied. Metabolism and antifungal activity of different L. plantarum, L. brevis, and L. sakei strains, isolated from Sardinian dairy and meat products, were assessed. The metabolite fingerprint of each strain was obtained by GC-MS and data submitted to multivariate statistical analysis. The discriminant analysis correctly classified samples to the Lactobacillus species and indicated that, with respect to the other species, L. plantarum had higher levels of organic acids, while L. brevis and L. sakei showed higher levels of sugars than L. plantarum. Partial Least Square (PLS) regression correlated the GC-MS metabolites to the antifungal activity (p < 0.05) of Lactobacillus strains and indicated that organic acids and oleamide are positively related with this ability. Some of the metabolites identified in this study have been reported to possess health promoting proprieties. These overall results suggest that the GC-MS-based metabolomic approach is a useful tool for the characterization of Lactobacillus strains as biopreservatives. Full article
(This article belongs to the Special Issue Innovation Meets Tradition in the Sheep and Goat Dairy Industry)
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Figure 1
<p>PLS-DA of GC-MS data, R<sup>2</sup>Y = 0.93 and Q<sup>2</sup>Y = 0.88, over 2 validated components. (<b>a</b>) score plot (<span class="html-italic">Lb</span>, <span class="html-italic">Lp</span>, and <span class="html-italic">Ls = L. brevis</span>, <span class="html-italic">L. plantaris</span>, and <span class="html-italic">L. sakei</span>, respectively); (<b>b</b>) loading plot, red hexagons = organic acids; green circles = amino acids; light blue stars = saccharides and polyols; yellow circles = fatty acids and analogues; black diamond = loadings of <span class="html-italic">Lactobacillus</span> classes. Unknown metabolites are not displayed. Metabolites are abbreviated as in <a href="#app1-dairy-02-00026" class="html-app">Table S2</a>.</p>
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<p>Relative abundance of metabolites in each strain: green <span class="html-italic">L. plantarum</span> (1 = 1/14537, 2 = 4/16898, 3 = C1/15); light blue <span class="html-italic">L. brevis</span> (4 = DSM 32516, 5 = M8/1 S4); yellow <span class="html-italic">L. sakei</span> (6 = S4, 7 = S3, 8 = S3/1, 9 = S5). Y-axis values are in A.U. and refer to the intensity of a selected <span class="html-italic">m</span>/<span class="html-italic">z</span> ion fragment. Abbreviation of metabolites as in <a href="#app1-dairy-02-00026" class="html-app">Table S2</a>.</p>
Full article ">Figure 2 Cont.
<p>Relative abundance of metabolites in each strain: green <span class="html-italic">L. plantarum</span> (1 = 1/14537, 2 = 4/16898, 3 = C1/15); light blue <span class="html-italic">L. brevis</span> (4 = DSM 32516, 5 = M8/1 S4); yellow <span class="html-italic">L. sakei</span> (6 = S4, 7 = S3, 8 = S3/1, 9 = S5). Y-axis values are in A.U. and refer to the intensity of a selected <span class="html-italic">m</span>/<span class="html-italic">z</span> ion fragment. Abbreviation of metabolites as in <a href="#app1-dairy-02-00026" class="html-app">Table S2</a>.</p>
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<p>Antifungal activity of <span class="html-italic">Lactobacillus</span> strains: inhibition zones against <span class="html-italic">A. alternata</span>, <span class="html-italic">C. herbarum</span>, <span class="html-italic">M. recurvus</span>, <span class="html-italic">P. variotii</span>, <span class="html-italic">F. oxysporum</span>, <span class="html-italic">A. flavus</span> ATCC 46283, <span class="html-italic">P. chrysogenum</span> ATCC 9179.</p>
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<p>PLS variable loadings plot of GC-MS data (X-variables) superimposed with antifungal activity (Y-variables). R<sup>2</sup>Y = 0.89 and Q<sup>2</sup>Y = 0.65 over 5 validated components. Black triangles = Y coefficients for antifungal activity; red hexagons = organic acids; green circles = amino acids; light blue stars = saccharides and polyols; yellow circles = fatty acids and analogues; black diamond = loadings of <span class="html-italic">Lactobacillus</span> classes. Unknown metabolites are not displayed. Metabolites are abbreviated as in <a href="#app1-dairy-02-00026" class="html-app">Table S2</a>.</p>
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18 pages, 1557 KiB  
Article
Quality Control in Fiore Sardo PDO Cheese: Detection of Heat Treatment Application and Production Chain by MRI Relaxometry and Image Analysis
by Roberto Anedda, Riccardo Melis and Elena Curti
Dairy 2021, 2(2), 270-287; https://doi.org/10.3390/dairy2020023 - 26 May 2021
Cited by 8 | Viewed by 4872
Abstract
Fiore Sardo (FS), a traditional Italian cheese, is present in the market as a heterogeneous variety of products. The use of heat-treated (HT) milk is forbidden by the official production protocol, but no official analytical method able to detect heat application is yet [...] Read more.
Fiore Sardo (FS), a traditional Italian cheese, is present in the market as a heterogeneous variety of products. The use of heat-treated (HT) milk is forbidden by the official production protocol, but no official analytical method able to detect heat application is yet available. Here, a combined magnetic resonance imaging (MRI) relaxometry and image analysis approach to recognize FS made from raw milk is presented. Artisanal FS cheeses were produced from raw milk (RC) by five shepherds in accordance with the official protocol. They were compared to HT-milk counterparts (HTC). Additionally, industrially manufactured commercial FS cheeses (I) were also purchased and compared to RC and HTC. Relaxometry data of FS indicated the presence of two water populations; the ratio of characteristic relaxation time constant T2 and area fraction (Score, Ṩ) of the fastest relaxing population was used to compare RC, HTC and I samples. RC from HTC were successfully discriminated, the latter exhibiting lower Ṩ (enhanced protein hydration). I cheeses exhibited the lowest Ṩ values, sometimes comparable to HTC. Since visual appearance of RC and HTC is appreciably different, an image analysis deep learning approach using MRI and photographic pictures was adopted to discriminate the two productions, with promising percentages (>93%). Full article
(This article belongs to the Special Issue Innovation Meets Tradition in the Sheep and Goat Dairy Industry)
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Graphical abstract

Graphical abstract
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<p>Representative T<sub>2</sub> distribution profile of an aged FS cheese at 300 MHz. Two proton populations are observed, characterized by geometric mean T<sub>2</sub> values (T<sub>21</sub> and T<sub>22</sub>) and area fractions of each population (AF1 and AF2).</p>
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<p>Score factors (Ṩ) of Fiore Sardo cheeses from Dataset 1: 105 days (<b>a</b>) and 180 days (<b>b</b>) of ripening, Season 1 (March–April 2019); 105 days (<b>c</b>) and 180 days (<b>d</b>) of ripening, Season 2 (January–February 2020). Blue circles represent samples made from raw milk (RC) and red circles represent cheeses made starting from heat-treated milk (HTC).</p>
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<p>Box plots of the Score values (Ṩ) of each group of cheeses (RC, HTC, industrial and maturer cheeses).</p>
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<p>Representative images of the visual appearance of RC, HTC and industrial samples: Producer S1, Season 2, 105 days of ripening, Fiore Sardo from raw milk (upper row) and from heat-treated milk (lower row) (<b>a</b>); details of RC (<b>b</b>) and HTC (<b>c</b>) samples ripened 105 days upon cutting; industrial Fiore Sardo purchased from a local market, with at least 105 days of ripening (<b>d</b>).</p>
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10 pages, 1122 KiB  
Article
LC-QTOF/MS Untargeted Metabolomics of Sheep Milk under Cocoa Husks Enriched Diet
by Cristina Manis, Paola Scano, Anna Nudda, Silvia Carta, Giuseppe Pulina and Pierluigi Caboni
Dairy 2021, 2(1), 112-121; https://doi.org/10.3390/dairy2010011 - 22 Feb 2021
Cited by 7 | Viewed by 3696
Abstract
The aim of this work was to evaluate, by an untargeted metabolomics approach, changes of milk metabolites induced by the replacement of soybean hulls with cocoa husks in the ewes’ diet. Animals were fed with a soybean diet integrated with 50 or 100 [...] Read more.
The aim of this work was to evaluate, by an untargeted metabolomics approach, changes of milk metabolites induced by the replacement of soybean hulls with cocoa husks in the ewes’ diet. Animals were fed with a soybean diet integrated with 50 or 100 g/d of cacao husks. Milk samples were analyzed by an ultra high performance liquid chromatograph coupled to a time of flight mass spectrometer (UHPLC-QTOF-MS) platform. Multivariate statistical analysis showed that the time of sampling profoundly affected metabolite levels, while differences between treatments were evident at the fourth week of sampling. Cocoa husks seem to induce level changes of milk metabolites implicated in the thyroid hormone metabolism and ubiquinol-10 biosynthesis. Full article
(This article belongs to the Special Issue Innovation Meets Tradition in the Sheep and Goat Dairy Industry)
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Figure 1

Figure 1
<p>Principal component analysis (PCA) score plots of milk samples. Samples are colored by week of treatment (first, blue; second, red; third, green; and fourth, light blue circles). Metabolite data collected in the liquid chromatography-mass spectrometry (LCMS) (<b>a</b>) positive and (<b>b</b>) negative ionization modes.</p>
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<p>Score plots of pairwise orthogonal partial least squares-discriminant analysis (OPLS-DA) of milk samples data in liquid chromatography-mass spectrometry positive ((<b>a</b>) CH0 vs. CH100 and (<b>b</b>) CH50 vs. CH0), and negative ((<b>c</b>) CH0 vs. CH100 and (<b>d</b>) CH50 vs. CH0) ionization modes. CH0 = green circles; CH50 = red boxes; CH100 = light blue triangles.</p>
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<p>Box plots of (<b>a</b>) thyroxine (T4) and (<b>b</b>) tetraiodothyroacetate (T4A) levels in milk samples for the CH0, CH50, and CH100 groups in the last four weeks of treatments (week 1 = blue, 2 = red, 3 = green, 4 = cyan).</p>
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11 pages, 856 KiB  
Article
Functional Odd- and Branched-Chain Fatty Acid in Sheep and Goat Milk and Cheeses
by Anna Nudda, Fabio Correddu, Alberto Cesarani, Giuseppe Pulina and Gianni Battacone
Dairy 2021, 2(1), 79-89; https://doi.org/10.3390/dairy2010008 - 5 Feb 2021
Cited by 23 | Viewed by 5207
Abstract
The inverse association between the groups of odd-chain (OCFA) and branched-chain (BCFA) and the development of diseases in humans have generated interest in the scientific community. In experiment 1, the extent of the passage of odd- and branched-chain fatty acids (OBCFA) from milk [...] Read more.
The inverse association between the groups of odd-chain (OCFA) and branched-chain (BCFA) and the development of diseases in humans have generated interest in the scientific community. In experiment 1, the extent of the passage of odd- and branched-chain fatty acids (OBCFA) from milk fat to fresh cheese fat was studied in sheep and goats. Milk collected in two milk processing plants in west Sardinia (Italy) was sampled every 2 weeks during spring (March, April and May). In addition, a survey was carried out to evaluate the seasonal variation of the OBCFA concentrations in sheep and goats’ cheeses during all lactation period from January to June. Furthermore, to assess the main differences among the sheep and goat cheese, principal component analysis (PCA) was applied to cheese fatty acids (FA) profile. Concentrations of OBCFA in fresh cheese fat of both species were strongly related to the FA content in the unprocessed raw milk. The average contents of OBCFA were 4.12 and 4.13 mg/100 mg of FA in sheep milk and cheese, respectively, and 3.12 and 3.17 mg/100 mg of FA in goat milk and cheese, respectively. The OBCFA concentration did no differed between milk and cheese in any species. The content of OBCFA was significantly higher in sheep than goats’ dairy products. The OBCFA composition of the cheese was markedly affected by the period of sampling in both species: odd and branched FA concentrations increased from March to June. The seasonal changes of OBCFA in dairy products were likely connected to variations in the quality of the diet. The PCA confirmed the higher nutritional quality of sheep cheese for beneficial FA, including OBCFA compared to the goat one, and the importance of the period of sampling in the definition of the fatty acids profile. Full article
(This article belongs to the Special Issue Innovation Meets Tradition in the Sheep and Goat Dairy Industry)
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Figure 1

Figure 1
<p>Temporal evolution of (<b>a</b>) odd chain fatty acids (FA) and (<b>b</b>) branched chain FA from January to July in cheeses from sheep (light grey line) and goats (dark grey line) milk.</p>
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<p>Temporal evolution of (<b>a</b>) C15:0, (<b>b</b>) C17:0, (<b>c</b>) anteisoC15:0) and (<b>d</b>) anteisoC17:0 from January to July in sheep (light grey line) and in goats (dark grey line) cheeses.</p>
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<p>Scores (<b>a</b>) and loadings (<b>b</b>) plots of the two first principal components explaining 36 and 22% of the total variance, respectively. In <a href="#dairy-02-00008-f003" class="html-fig">Figure 3</a>a, circle identifies goat cheese, triangle identifies sheep cheese; green symbols identified cheese produced in winter early spring, red symbols identified cheese produced in early spring–summer.</p>
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<p>Scores (<b>a</b>) and loadings (<b>b</b>) plots of the two first principal components explaining 36 and 22% of the total variance, respectively. In <a href="#dairy-02-00008-f003" class="html-fig">Figure 3</a>a, circle identifies goat cheese, triangle identifies sheep cheese; green symbols identified cheese produced in winter early spring, red symbols identified cheese produced in early spring–summer.</p>
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16 pages, 1064 KiB  
Article
Survival of Selected Pathogenic Bacteria during PDO Pecorino Romano Cheese Ripening
by Giacomo Lai, Rita Melillo, Massimo Pes, Margherita Addis, Antonio Fadda and Antonio Pirisi
Dairy 2020, 1(3), 297-312; https://doi.org/10.3390/dairy1030020 - 7 Dec 2020
Cited by 3 | Viewed by 4339
Abstract
This study was conducted to assess, for the first time, the survival of the pathogenic bacteria Listeria monocytogenes, Salmonella spp., Escherichia coli O157:H7, and Staphylococcus aureus during the ripening of protected designation of origin (PDO) Pecorino Romano cheese. A total of twenty-four [...] Read more.
This study was conducted to assess, for the first time, the survival of the pathogenic bacteria Listeria monocytogenes, Salmonella spp., Escherichia coli O157:H7, and Staphylococcus aureus during the ripening of protected designation of origin (PDO) Pecorino Romano cheese. A total of twenty-four cheese-making trials (twelve from raw milk and twelve from thermized milk) were performed under the protocol specified by PDO requirements. Sheep cheese milk was first inoculated before processing with approximately 106 colony-forming unit (CFU) mL−1 of each considered pathogen and the experiment was repeated six times for each selected pathogen. Cheese composition and pathogens count were then evaluated in inoculated raw milk, thermized milk, and cheese after 1, 90, and 150 days of ripening. pH, moisture, water activity, and salt content of cheese were within the range of the commercial PDO Pecorino Romano cheese. All the cheeses made from raw and thermized milk were microbiologically safe after 90 days and 1 day from their production, respectively. In conclusion, when Pecorino Romano cheese is produced under PDO specifications, from raw or thermized milk, a combination of factors including the speed and extent of curd acidification in the first phase of the production, together with an intense salting and a long ripening time, preclude the possibility of growth and survival of L. monocytogenes, Salmonella spp., and E. coli O157:H7. Only S. aureus can be still detectable at such low levels that it does not pose a risk to consumers. Full article
(This article belongs to the Special Issue Innovation Meets Tradition in the Sheep and Goat Dairy Industry)
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<p>Experimental flow diagram of protected designation of origin (PDO) Pecorino Romano cheese production. RH = relative humidity.</p>
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<p>Acidification profiles of Pecorino Romano cheese produced from raw (RM), and thermized milk (TM). Twelve replicates for each cheese-making technology. Error bars indicate standard deviations. Different letters at the same time point indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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12 pages, 787 KiB  
Article
An Untargeted Metabolomic Comparison of Milk Composition from Sheep Kept Under Different Grazing Systems
by Paola Scano, Patrizia Carta, Ignazio Ibba, Cristina Manis and Pierluigi Caboni
Dairy 2020, 1(1), 30-41; https://doi.org/10.3390/dairy1010004 - 5 Apr 2020
Cited by 19 | Viewed by 4639
Abstract
This study aimed to evaluate the effects of different feedings on main traits and polar and semi-polar metabolite profiles of ovine milk. The milk metabolome of two groups of Sarda sheep kept under different grazing systems were analyzed by gas chromatography coupled with [...] Read more.
This study aimed to evaluate the effects of different feedings on main traits and polar and semi-polar metabolite profiles of ovine milk. The milk metabolome of two groups of Sarda sheep kept under different grazing systems were analyzed by gas chromatography coupled with mass spectrometry (GC-MS) and multivariate statistical analysis (MVA). The results of discriminant analysis indicated that the two groups showed a different metabolite profile, i.e., milk samples of sheep kept under Grazing System 1 (GS1) were richer in nucleosides, inositols, hippuric acid, and organic acids, while milk of sheep under Grazing System 2 (GS2) showed higher levels of phosphate. Statistical analysis of milk main traits indicates that fat content was significantly higher in GS1 samples while milk from GS2 sheep had more urea, trans-vaccenic acid, and rumenic acid. MVA studies of the associations between milk main traits and metabolite profile indicated that the latter reflects primarily the long chain fatty acid content, the somatic cell count (SCC), and lactose levels. All together, these results demonstrated that an integrated holistic approach could be applied to deepen knowledge about the effects of feeding on sheep’s milk composition. Full article
(This article belongs to the Special Issue Innovation Meets Tradition in the Sheep and Goat Dairy Industry)
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Figure 1
<p>Representative GC-MS chromatograms of milk metabolites from sheep kept under grazing system 1 (GS1) (<b>b</b>) and grazing system 2 (GS2) (<b>a</b>).</p>
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<p>Pair-wise OPLS-DA score plot of GS2 (<span class="html-italic">n</span> = 33, empty circles) and GS1 (<span class="html-italic">n</span> = 37, empty boxes) milk samples, based on their GC-MS features. Components = 1 + 2, R<sup>2</sup>Y = 0.96, Q<sup>2</sup>Y = 0.89, discriminant metabolites along the predictive axis (<span class="html-italic">x</span>-axis) are reported in <a href="#dairy-01-00004-t003" class="html-table">Table 3</a>.</p>
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