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Salomone-Caballero M, Fresno M, Álvarez S, Torres A. Effects of Parity and Somatic Cell Count Threshold on Udder Morphology, Milkability Traits, and Milk Quality in Canarian Goats. Animals (Basel) 2024; 14:1262. [PMID: 38731266 PMCID: PMC11083688 DOI: 10.3390/ani14091262] [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: 03/21/2024] [Revised: 04/12/2024] [Accepted: 04/22/2024] [Indexed: 05/13/2024] Open
Abstract
The effects of parity and somatic cell count in milk (SCC) threshold on the udder morphology, milkability traits, and milk composition was evaluated in 41 Canarian goats in mid-lactation. The animals were divided according to parity (1st, 2nd, and 3rd), and a SCC threshold of 2000 × 103 cells/mL in milk was set to evaluate the effect of this factor on the different measured parameters. Results showed that primiparous goats had the udder smaller and less distended than multiparous goats, but no differences were detected on milk flow parameters. Furthermore, SCC and total bacterial count (TBC) tended to be higher when the parity increased. On the other hand, goats with SCC ≤ 2000 × 103 had higher cistern-floor distance (CF) and lower TBC values compared with those goats with a count above the predetermined threshold. The results suggest that a reduction in SCC can be achieved by a selection of udder morphological traits. Moreover, milk flow parameters do not seem to be a tool to determine the udder health status in Canarian goats, but long-term studies are needed to verify it.
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Affiliation(s)
| | | | | | - Alexandr Torres
- Unit of Animal Production, Pasture, and Forage in Arid and Subtropical Areas, Canary Islands Institute for Agricultural Research (ICIA), 28260 Tenerife, Spain; (M.S.-C.); (M.F.); (S.Á.)
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Ripoll G, Alcalde MJ, Córdoba MG, Casquete R, Argüello A, Ruiz-Moyano S, Panea B. Influence of the Use of Milk Replacers and pH on the Texture Profiles of Raw and Cooked Meat of Suckling Kids. Foods 2019; 8:foods8110589. [PMID: 31752365 PMCID: PMC6915584 DOI: 10.3390/foods8110589] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 11/11/2019] [Accepted: 11/14/2019] [Indexed: 11/16/2022] Open
Abstract
The aim of this work was to study the texture profile of fresh and cooked longissimusthoracis et lumborum muscle from suckling kids raised with natural milk or milk replacers. Suckling male kids from eight goat breeds (Florida, FL; Cabra del Guadarrama, GU; Majorera, MA; Palmera, PL; Payoya, PY; Retinta, RE; Tinerfeña, TI; Verata, VE), all of single parturition, were raised with milk replacers (MR) or with natural milk from the dams (NM). The meat pH, Warner-Bratzler shear force, texture profile analysis and chemical composition were determined. Kids were clustered based on their pH by k-means clustering. The effect of the rearing system on the textural profile was strongly modulated by breed. The values of Warner-Bratzler shear force and hardness found in these breeds under both rearing systems were very low. Hence, the toughness of very light suckling kids should not be a determining factor in choosing a breed or rearing system. Nevertheless, the use of milk replacers increased the presence of meat with high pH, which modified the textural parameters, decreasing the shear force but increasing cohesiveness and adhesiveness. Consequently, depending on the commercial strategy of the farm, the election of the breed and rearing system must be considered together.
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Affiliation(s)
- Guillermo Ripoll
- Instituto Agroalimentario de Aragón, IA2, CITA-Universidad de Zaragoza, C/Miguel Servet, 177, 50013 Zaragoza, Spain;
- Centro de Investigación y Tecnología Agroalimentaria de Aragón, Avda. Montañana, 930, 50059 Zaragoza, Spain
- Correspondence: ; Tel.: +34-976-716-452
| | - María J. Alcalde
- Department of Agroforestry Science. Universidad de Sevilla. Crta. Utrera, 41013 Sevilla, Spain;
| | - María G. Córdoba
- Instituto Universitario de Investigación de Recursos Agrarios (INURA), Nutrición y Bromatología, Escuela de Ingeniería Agrarias, Universidad de Extremadura, Avda. Adolfo Suarez s/n, 06007 Badajoz, Spain; (M.G.C.); (R.C.); (S.R.-M.)
| | - Rocío Casquete
- Instituto Universitario de Investigación de Recursos Agrarios (INURA), Nutrición y Bromatología, Escuela de Ingeniería Agrarias, Universidad de Extremadura, Avda. Adolfo Suarez s/n, 06007 Badajoz, Spain; (M.G.C.); (R.C.); (S.R.-M.)
| | - Anastasio Argüello
- Department of Animal Pathology, Animal Production and Science and Technology of Foods, Universidad de Las Palmas de Gran Canaria, 35416 Las Palmas, Spain;
| | - Santiago Ruiz-Moyano
- Instituto Universitario de Investigación de Recursos Agrarios (INURA), Nutrición y Bromatología, Escuela de Ingeniería Agrarias, Universidad de Extremadura, Avda. Adolfo Suarez s/n, 06007 Badajoz, Spain; (M.G.C.); (R.C.); (S.R.-M.)
| | - Begoña Panea
- Instituto Agroalimentario de Aragón, IA2, CITA-Universidad de Zaragoza, C/Miguel Servet, 177, 50013 Zaragoza, Spain;
- Centro de Investigación y Tecnología Agroalimentaria de Aragón, Avda. Montañana, 930, 50059 Zaragoza, Spain
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Kusebauch U, Hernández-Castellano LE, Bislev SL, Moritz RL, Røntved CM, Bendixen E. Selected reaction monitoring mass spectrometry of mastitis milk reveals pathogen-specific regulation of bovine host response proteins. J Dairy Sci 2018; 101:6532-6541. [PMID: 29655560 DOI: 10.3168/jds.2017-14312] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 02/16/2018] [Indexed: 01/29/2023]
Abstract
Mastitis is a major challenge to bovine health. The detection of sensitive markers for mastitis in dairy herds is of great demand. Suitable biomarkers should be measurable in milk and should report pathogen-specific changes at an early stage to support earlier diagnosis and more efficient treatment. However, the identification of sensitive biomarkers in milk has remained a challenge, in part due to their relatively low concentration in milk. In the present study, we used a selected reaction monitoring (SRM) mass spectrometry approach, which allowed the absolute quantitation of 13 host response proteins in milk for the first time. These proteins were measured over a 54-h period upon an in vivo challenge with cell wall components from either gram-negative (lipopolysaccharide from Escherichia coli; LPS) or gram-positive bacteria (peptidoglycan from Staphylococcus aureus; PGN). Whereas our data clearly demonstrate that all challenged animals have consistent upregulation of innate immune response proteins after both LPS and PGN challenge, the data also reveal clearly that LPS challenge unleashes faster and shows a more intense host response compared with PGN challenge. Biomarker candidates that may distinguish between gram-negative and gram-positive bacteria include α-2 macroglobulin, α-1 antitrypsin, haptoglobin, serum amyloid A3, cluster of differentiation 14, calgranulin B, cathepsin C, vanin-1, galectin 1, galectin 3, and IL-8. Our approach can support further studies of large cohorts of animals with natural occurring mastitis, to validate the relevance of these suggested biomarkers in dairy production.
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Affiliation(s)
| | - Lorenzo E Hernández-Castellano
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark; Department of Animal Science, Aarhus University, 8830 Tjele, Denmark
| | - Stine L Bislev
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark; Department of Animal Science, Aarhus University, 8830 Tjele, Denmark
| | | | | | - Emøke Bendixen
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark; Department of Animal Science, Aarhus University, 8830 Tjele, Denmark.
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Cai J, Wang D, Liu J. Regulation of fluid flow through the mammary gland of dairy cows and its effect on milk production: a systematic review. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2018; 98:1261-1270. [PMID: 28758674 DOI: 10.1002/jsfa.8605] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Revised: 07/27/2017] [Accepted: 07/27/2017] [Indexed: 06/07/2023]
Abstract
Dairy milk consists of more than 85% water. Therefore, understanding the regulation of fluid absorption in the mammary gland is relevant to improving milk production. In recent decades, studies using different approaches, including blood flow, transmembrane fluid flow, tight junction, fluid flow of the paracellular pathway and functional mammary epithelial cell state, have been conducted aiming to investigate how mammary gland fluid absorption is regulated. However, the relationship between regulation mechanisms of fluid flow and milk production has not been studied systematically. The present review summarizes a series of key milk yield regulatory factors mediated by whole-mammary fluid flow, including milk, mammary blood flow, blood/tissue fluid-cell fluid flow and cell-alveolus fluid flow. Whole-mammary fluid flow regulates milk production by altering transporter activity, ion channels, local microcirculation-related factors, driving force of fluid transport (osmotic pressure or electrochemical gradient), cellular connection state and a cell volume sensitive mechanism. In addition, whole-mammary fluid flow plays important roles in milk synthesis and secretion. Knowledge gained from fluid flow-mediated regulatory mechanisms of the dairy mammary gland will lead to a fundamental understanding of lactation biology and will be beneficial for the improvement of dairy productivity. © 2017 Society of Chemical Industry.
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Affiliation(s)
- Jie Cai
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Diming Wang
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Jianxin Liu
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
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Ferro MM, Tedeschi LO, Atzori AS. The comparison of the lactation and milk yield and composition of selected breeds of sheep and goats. Transl Anim Sci 2017; 1:498-506. [PMID: 32704673 PMCID: PMC7204986 DOI: 10.2527/tas2017.0056] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 09/08/2017] [Indexed: 11/15/2022] Open
Abstract
The objective of this study was to characterize the milk yield (MY) and milk composition of relevant sheep and goat breeds raised around the world to be used with nutrition models for diet formulation and nutrient balancing. A 2-step approach was used. First, a database developed by the Food and Agriculture Organization was used to identify relevant breeds (i.e., frequently raised) by comparing the occurrence of transboundary breed names across countries. We selected transboundary breeds that occurred more than 3 times and other relevant breeds obtained from the specialized literature that had milk production information (e.g., MY, days in milk, and milk fat, protein, and lactose). The majority of sheep breeds were classified as nondairy (76%) because they lacked milk production information. Karakul and Merino accounted for up to 2.4% of sheep breeds raised around the world, whereas the other individual breeds accounted for less than 1%. In contrast, nondairy breeds of goats accounted for 46.3% and of the remaining 53.7%, Saanen, Boer, Anglo-Nubian, Toggenburg, and Alpine accounted for 6.5, 5, 4.4, 4, and 3%, respectively, of the transboundary breeds. Second, a database compiled from published studies for the selected sheep (n = 65) and goats (n = 78) breeds were analyzed using a random coefficients model (studies and treatments within studies as random effects). For sheep breeds, the average and SD were 1.1 ± 0.3 kg/d for MY, 6.9 ± 1% for milk fat, 5.4 ± 0.4% for milk protein, 5 ± 0.3% for milk lactose, 17.7 ± 1.4% for milk total solids, and 1,073 ± 91 kcal/kg of milk energy. Lacaune had the greatest MY compared to Comisana and Tsigai (1.65 versus 0.83 and 0.62 kg/d; respectively, P < 0.05), but milk components were not different among breeds. For goats breeds, the average and SD across breeds were 1.7 ± 0.6 kg/d for MY, 4.2 ± 0.9% for milk fat, 3.3 ± 0.4% for milk protein, 4.4 ± 0.4% for milk lactose, 12.7 ± 1.1% for milk total solids, and 750 ± 75 kcal/kg of milk energy. Alpine had similar MY to Saanen (2.66 versus 2.55 kg/d, respectively; P > 0.05), but greater (P < 0.05) than other breeds. The Boer breed had the greatest milk fat, protein, lactose, and total solids than several other breeds, leading to the greatest milk energy content (907 kcal/kg). Because there are many factors that can alter MY and milk composition, averages provided in this study serve as guidelines, and nutritionists must obtain observed values when using nutrition models.
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Affiliation(s)
- M M Ferro
- Department of Animal Science, Texas A&M University, College Station 77843-2471.,Departmento de Zootecnia, Universidade Federal de Mato Grosso, Cuiabá 78020, Brazil
| | - L O Tedeschi
- Department of Animal Science, Texas A&M University, College Station 77843-2471
| | - A S Atzori
- Dipartimento di Agraria, Università di Sassari, Sassari 07100, Italy
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Hernández-Castellano LE, Ferreira AM, Nanni P, Grossmann J, Argüello A, Capote J, Cai G, Lippolis J, Castro N, de Almeida AM. The goat (Capra hircus) mammary gland secretory tissue proteome as influenced by weight loss: A study using label free proteomics. J Proteomics 2016; 145:60-69. [DOI: 10.1016/j.jprot.2016.03.030] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 03/10/2016] [Accepted: 03/18/2016] [Indexed: 01/02/2023]
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