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1. Meat eating and nutritional quality of lambs sired by high and low muscle density rams

Author

E.M. Thomas, J.A. Roden, W. Haresign, R.I. Richardson, N.R. Lambe, N. Clelland, G.E. Gardner, and N.D. Scollan

Subjects
Computer tomography, Fatty acid composition, Intramuscular fat, Sensory, Trained taste panel, Animal culture, SF1-1100
Abstract

Intramuscular fat (IMF) content affects eating and nutritional quality of lamb meat. Muscle density measured by computer tomography is an in vivo proxy measure of IMF content that affects eating and nutritional quality of lamb meat. Lambs sired by high muscle density (HMD) or low muscle density (LMD) rams, selected for slaughter on commercial criteria were measured for meat quality and nutritional traits. A restricted maximum likelihood model was used to compare lamb traits. Additionally, regression analysis of sire estimated breeding value (EBV) for muscle density was performed for each meat quality trait. Muscle density EBV had a negative regression with IMF content (P

Published
2021
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2. Stability, fatty acid composition and sensory properties of the M. Longissimus muscle from beef steers grazing either chicory/ryegrass or ryegrass

Author

C.L. Marley, R. Fychan, J.W. Davies, V.J. Theobald, N.D. Scollan, R.I. Richardson, and R. Sanderson

Subjects
cattle, Cichorium intybus, meat, lipid, forage, Animal culture, SF1-1100
Abstract

Research has shown both production and health benefits for the use of chicory (Cichorium intybus) within ruminant diets. Despite this, little was known about the effects of this forage, containing differing fatty acid profiles and secondary plant compounds compared with ryegrass, on beef stability, fatty acid composition or sensory properties. An experiment was conducted to investigate whether the inclusion of chicory in the diet of grazing beef steers would alter these three properties in the M. Longissimus muscle when compared with beef steers grazing perennial ryegrass (Lolium perenne). Triplicate 2 ha plots were established with a chicory (cv. Puna II)/perennial ryegrass mix or a perennial ryegrass control. A core group of 36 Belgian Blue – cross steers were used within a 2-year beef finishing experiment (n=6/replicate plot). In the 2nd grazing year, steers were slaughtered as they reached a target fat class of 3. Muscle pH was checked 2 and 48 h post-slaughter. A section of the hindloin joint containing the M. Longissimus lumborum muscle was removed and a 20 mm-thick steak was cut and muscle samples were taken for analysis of vitamin E and fatty acid analysis. The remaining section of the loin was vacuum packed in modified atmosphere packs and subjected to simulated retail display. A section of the conditioned loin was used for sensory analysis. Data on pH, vitamin E concentration and colour stability in a simulated retail display showed there were no effects of including chicory in the diet of grazing beef steers on meat stability. There were also no differences found in the fatty acid composition or the overall eating quality of the steaks from the two treatments. In conclusion, there were no substantive effects of including chicory in the swards of grazing beef cattle on meat stability, fatty acid composition or sensory properties of the M. Longissimus muscle when compared with beef steers grazing ryegrass-only swards.

Published
2018
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3. Comparison of organoleptic quality and composition of beef from suckler bulls from different production systems

Author

G.B. Mezgebo, A.P. Moloney, E.G. O’Riordan, M. McGee, R.I. Richardson, and F.J. Monahan

Subjects
beef, tenderness, flavour, juiciness, fat colour, Animal culture, SF1-1100
Abstract

Bull beef production is traditionally based on high concentrate rations fed indoors. Inclusion of grazed grass, which is generally a cheaper feed, would decrease the cost of bull beef production, but may affect beef quality. Accordingly, the organoleptic quality and composition of beef from continental-sired suckler bulls (n=126) assigned to either ad libitum concentrates to slaughter (C), grass silage (GS) ad libitum for 120 days followed by C (GSC) or GS followed by 100 days at pasture and then C (GSPC) and slaughtered at target carcass weights (CW) of 360, 410 or 460 kg was examined. Tenderness, flavour liking and overall liking were lower (P

Published
2017
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4. Biochemical and organoleptic characteristics of muscle from early and late maturing bulls in different production systems

Author

G.B. Mezgebo, F.J. Monahan, M. McGee, E.G. O’Riordan, B. Picard, R.I. Richardson, and A.P. Moloney

Subjects
beef, breed type, diet, sensory, intramuscular fat, Animal culture, SF1-1100
Abstract

In grass-based beef production systems (PS), early maturing (EM) breed types may be preferable to late maturing (LM) breed types in achieving adequate carcass fat cover. Biochemical and organoleptic characteristics of muscle from suckler bulls were investigated in EM and LM (n=28/breed) assigned to one of two PS (ad libitum concentrates and grass silage to slaughter (C) or ad libitum silage plus 2 kg concentrate daily during winter followed by 99 days at pasture and then an indoor finishing period on C (GSPC)) in a 2 breed type×2 PS factorial arrangement of treatments. Bulls were managed to have a common target carcass weight of 380 kg. Intramuscular fat (IMF) content was higher (P

Published
2017
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5. Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy

Author

N. Prieto, D.W. Ross, E.A. Navajas, R.I. Richardson, J.J. Hyslop, G. Simm, and R. Roehe

Subjects
near infrared reflectance spectroscopy, fibre-optic probe, beef, fatty acid, intramuscular fat, Animal culture, SF1-1100
Abstract

The objective of this study was to examine the online use of near infrared reflectance (NIR) spectroscopy to estimate the concentration of individual and groups of fatty acids (FA) as well as intramuscular fat (IMF) in crossbred Aberdeen Angus (AA×) and Limousin (LIM×) cattle. This was achieved by direct application of a fibre-optic probe to the muscle immediately after exposing the meat surface in the abattoir at 48 h post mortem. Samples of M. longissimus thoracis from 88 AA× and 106 LIM× were scanned over the NIR spectral range from 350 to 1800 nm and samples of the M. longissimus lumborum were analysed for IMF content and FA composition. Statistically significant differences (P < 0.001) were observed in most FA between the two breeds studied, with FA concentration being higher in AA× meat mainly. NIR calibrations, tested by cross-validation, showed moderate to high predictability in LIM× meat samples for C16:0, C16:1, C18:0, trans11 C18:1, C18:1, C18:2 n-6, C20:1, cis9, trans11 C18:2, SFA (saturated FA), MUFA (monounsaturated FA), PUFA (polyunsaturated FA) and IMF content with R2 (SECV, mg/100 g muscle) of 0.69 (146), 0.69 (28), 0.71 (62), 0.70 (8.1), 0.76 (192), 0.65 (13), 0.71 (0.9), 0.71 (2.9), 0.68 (235), 0.75 (240), 0.64 (17) and 0.75 (477), respectively. FA such as C14:0, C18:3 n-3, C20:4 n-6, C20:5 n-3, C22:6 n-3, n-6 and n-3 were more difficult to predict by NIR in these LIM× samples (R2 = 0.12 to 0.62; SECV = 0.5 to 26 mg/100 g muscle). In contrast, NIR showed low predictability for FA in AA× beef samples. In particular for LIM×, the correlations of NIR measurements and several FA in the range from 0.81 to 0.87 indicated that the NIR spectroscopy is a useful online technique for the early, fast and relatively inexpensive estimation of FA composition in the abattoir.

Published
2011
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6. Predicting beef carcass composition using tissue weights of a primal cut assessed by computed tomography

Author

E.A. Navajas, R.I. Richardson, A.V. Fisher, J.J. Hyslop, D.W. Ross, N. Prieto, G. Simm, and R. Roehe

Subjects
carcass composition, primal composition, computed tomography, dissection, beef, Animal culture, SF1-1100
Abstract

The potential of the composition of the forerib measured by X-ray computed tomography (CT) as a predictor of carcass composition was evaluated using data recorded on 30 Aberdeen Angus and 43 Limousin crossbred heifers and steers. The left sides of the carcasses were split into 20 cuts, which were CT scanned and fully dissected into fat, muscle and bone. Carcass and forerib tissue weights were assessed by dissection and CT. Carcass composition was assessed very accurately by CT scanning of the primal cuts (adj-R2 = 0.97 for the three tissues). CT scanning predicted weights of fat, muscle and bone of the forerib with adj-R2 of 0.95, 0.91 and 0.75, respectively. Single regression models with the weights of fat, muscle or bone in the forerib measured by CT as the only predictors to estimate fat, muscle or bone of the left carcass obtained by CT showed adjusted coefficients of determination (adj-R2) of 0.79, 0.60 and 0.52, respectively. By additionally fitting breed and sex, accuracy increased to 0.85, 0.73 and 0.67. Using carcass and forerib weights in addition to the previous predictors improved significantly the prediction accuracy of carcass fat and muscle weights to adj-R2 values of 0.92 and 0.96, respectively, while the highest value for carcass bone weight was 0.77. In general, equations derived using CT data had lower adj-R2 values for bone, but better accuracies for fat and muscle compared to those obtained using dissection. CT scanning could be considered as an alternative very accurate and fast method to assess beef carcass composition that could be very useful for breeding programmes and research studies involving a large number of animals, including the calibration of other indirect methods (e.g. in vivo and carcass video image analysis).

Published
2010
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7. Influence of vitamin E supplementation and basal diet on the vitamin E status, performance and tissue fatty acid concentration in lambs

Author

E. Kasapidou, M. Enser, J.D. Wood, R.I. Richardson, R.G. Wilkinson, and L.A. Sinclair

Subjects
α-tocopherol, concentrates, fatty acids, grass silage, lamb growth, Animal culture, SF1-1100
Abstract

In order to determine the effect of dietary vitamin E level and basal diet on vitamin E status, performance and tissue fatty acid content, five groups of eight Suffolk × Charollais wether lambs with an initial live weight of 28.4 (s.d. 1.6) kg were allocated to one of five concentrate-based diets supplemented with all-rac-α-tocopheryl acetate to contain 30 mg (C-30), 60 mg (C-60), 120 mg (C-120), 250 mg (C-250) or 500 mg (C-500) α-tocopheryl acetate/kg dry matter (DM), for 63 days. Two additional groups of eight lambs entered the study at 31.2 (s.d. 3.3) kg and were fed grass silage and 400 g/day concentrate for 56 days, with the whole diet providing the equivalent of 60 mg (S-60) or 500 mg (S-500) α-tocopheryl acetate/kg DM. Lambs were weighed and blood samples obtained by venipuncture weekly. Dietary vitamin E level did not affect performance (P > 0.05), but lambs fed grass silage grew more slowly (P < 0.001) and had a higher (P < 0.001) feed conversion ratio (kg feed/kg gain) than those fed concentrates. At day 0 plasma α-tocopherol concentrations were 0.8 μg/ml and did not differ between treatments (P > 0.05). Plasma α-tocopherol concentrations then decreased in all lambs except for those fed S-500, which increased, and at slaughter were (μg/ml) 0.07, 0.23, 0.39, 0.76 and 1.57 in C-30, C-60, C-120, C-250 and C-500 and 1.18 and 1.93 in S-60 and S-500, respectively. At slaughter, muscle and liver α-tocopherol concentrations were in the deficiency range for lambs fed C-30, C-60 or C-120, whereas plasma creatine kinase and tissue polyunsaturated fatty acids were unaffected by dietary vitamin E level, but creatine kinase levels were higher (P < 0.05) and glutathione peroxidise levels lower (P < 0.001) in lambs fed grass silage than concentrates alone. Muscle and liver α-tocopherol concentrations were 1.8- and 4.1-fold higher in lambs fed S-60 than C-60, but there was less of a difference between lambs fed S-500 or C-500 with muscle and liver differences of 0.4- and 0.7-fold, respectively. Tissue n-3 polyunsaturated fatty acid concentrations were higher (P < 0.05) and n-6 fatty acids lower in lambs receiving the grass silage compared to concentrate-based diets, but were not affected by dietary vitamin E level. It is concluded that lower plasma and tissue levels of α-tocopherol are present in lambs supplemented with all-rac-α-tocopheryl acetate on a concentrate compared to a mixed diet of silage and concentrates, and that normal growth can be achieved at tissue levels previously considered to represent deficiency.

Published
2009
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8. Genetic analyses of sensory characteristics and relationships with fatty acid composition in the meat from Scottish Blackface lambs

Author

E. Karamichou, R.I. Richardson, G.R. Nute, J.D. Wood, and S.C. Bishop

Subjects
eating quality, fatty acids, genetic parameters, meat, sheep, Animal culture, SF1-1100
Abstract

Genetic parameters for eating quality assessed by trained taste panellists were estimated on longissimus thoracis et lumborum (LTL) muscle in Scottish Blackface lambs, comprising lines previously divergently selected for carcass lean content (FAT and LEAN lines) as well as crosses between these lines. Also, relationships between eating quality assessments and fatty acid composition were investigated. Eating quality and fatty acid phenotypic measurements were made on 350 male lambs, at ca. 8 months of age. Eating quality measurements included 18 descriptive terms and fatty acid composition measurements included in total 17 fatty acids of three types: saturated, monounsaturated and polyunsaturated. The FAT line had juicier meat and more vegetable flavour than the LEAN line. Most of the eating quality traits were moderately to highly heritable, with heritabilities ranging from 0.21 (lamb flavour) to 0.92 (sweet flavour). Lamb flavour, juiciness and overall liking were strongly negatively correlated with individual polyunsaturated fatty acids, with the correlations being significantly different from zero. Overall liking was strongly positively correlated with the proportion of total monounsaturated fatty acids. This study provides new information on genetic parameters for eating quality traits in sheep, which may lead to novel opportunities for genetically improving these traits.

Published
2007
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9. Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

Author

Klionsky, D.J. Abdelmohsen, K. Abe, A. Abedin, M.J. Abeliovich, H. Arozena, A.A. Adachi, H. Adams, C.M. Adams, P.D. Adeli, K. Adhihetty, P.J. Adler, S.G. Agam, G. Agarwal, R. Aghi, M.K. Agnello, M. Agostinis, P. Aguilar, P.V. Aguirre-Ghiso, J. Airoldi, E.M. Ait-Si-Ali, S. Akematsu, T. Akporiaye, E.T. Al-Rubeai, M. Albaiceta, G.M. Albanese, C. Albani, D. Albert, M.L. Aldudo, J. Algül, H. Alirezaei, M. Alloza, I. Almasan, A. Almonte-Beceril, M. Alnemri, E.S. Alonso, C. Altan-Bonnet, N. Altieri, D.C. Alvarez, S. Alvarez-Erviti, L. Alves, S. Amadoro, G. Amano, A. Amantini, C. Ambrosio, S. Amelio, I. Amer, A.O. Amessou, M. Amon, A. An, Z. Anania, F.A. Andersen, S.U. Andley, U.P. Andreadi, C.K. Andrieu-Abadie, N. Anel, A. Ann, D.K. Anoopkumar-Dukie, S. Antonioli, M. Aoki, H. Apostolova, N. Aquila, S. Aquilano, K. Araki, K. Arama, E. Aranda, A. Araya, J. Arcaro, A. Arias, E. Arimoto, H. Ariosa, A.R. Armstrong, J.L. Arnould, T. Arsov, I. Asanuma, K. Askanas, V. Asselin, E. Atarashi, R. Atherton, S.S. Atkin, J.D. Attardi, L.D. Auberger, P. Auburger, G. Aurelian, L. Autelli, R. Avagliano, L. Avantaggiati, M.L. Avrahami, L. Azad, N. Awale, S. Bachetti, T. Backer, J.M. Bae, D.-H. Bae, J.-S. Bae, O.-N. Bae, S.H. Baehrecke, E.H. Baek, S.-H. Baghdiguian, S. Bagniewska-Zadworna, A. Bai, H. Bai, J. Bai, X.-Y. Bailly, Y. Balaji, K.N. Balduini, W. Ballabio, A. Balzan, R. Banerjee, R. Bánhegyi, G. Bao, H. Barbeau, B. Barrachina, M.D. Barreiro, E. Bartel, B. Bartolomé, A. Bassham, D.C. Bassi, M.T. Bast, R.C., Jr. Basu, A. Batista, M.T. Batoko, H. Battino, M. Bauckman, K. Baumgarner, B.L. Bayer, K.U. Beale, R. Beaulieu, J.-F. Beck, G.R., Jr. Becker, C. Beckham, J.D. Bédard, P.-A. Bednarski, P.J. Begley, T.J. Behl, C. Behrends, C. Behrens, G.M.N. Behrns, K.E. Bejarano, E. Belaid, A. Belleudi, F. Bénard, G. Berchem, G. Bergamaschi, D. Bergami, M. Berkhout, B. Berliocchi, L. Bernard, A. Bernard, M. Bernassola, F. Bertolotti, A. Bess, A.S. Besteiro, S. Bettuzzi, S. Bhalla, S. Bhattacharyya, S. Bhutia, S.K. Biagosch, C. Bianchi, M.W. Biard-Piechaczyk, M. Billes, V. Bincoletto, C. Bingol, B. Bird, S.W. Bitoun, M. Bjedov, I. Blackstone, C. Blanc, L. Blanco, G.A. Blomhoff, H.K. Boada-Romero, E. Böckler, S. Boes, M. Boesze-Battaglia, K. Boise, L.H. Bolino, A. Boman, A. Bonaldo, P. Bordi, M. Bosch, J. Botana, L.M. Botti, J. Bou, G. Bouché, M. Bouchecareilh, M. Boucher, M.-J. Boulton, M.E. Bouret, S.G. Boya, P. Boyer-Guittaut, M. Bozhkov, P.V. Brady, N. Braga, V.M.M. Brancolini, C. Braus, G.H. Bravo-San-Pedro, J.M. Brennan, L.A. Bresnick, E.H. Brest, P. Bridges, D. Bringer, M.-A. Brini, M. Brito, G.C. Brodin, B. Brookes, P.S. Brown, E.J. Brown, K. Broxmeyer, H.E. Bruhat, A. Brum, P.C. Brumell, J.H. Brunetti-Pierri, N. Bryson-Richardson, R.J. Buch, S. Buchan, A.M. Budak, H. Bulavin, D.V. Bultman, S.J. Bultynck, G. Bumbasirevic, V. Burelle, Y. Burke, R.E. Burmeister, M. Bütikofer, P. Caberlotto, L. Cadwell, K. Cahova, M. Cai, D. Cai, J. Cai, Q. Calatayud, S. Camougrand, N. Campanella, M. Campbell, G.R. Campbell, M. Campello, S. Candau, R. Caniggia, I. Cantoni, L. Cao, L. Caplan, A.B. Caraglia, M. Cardinali, C. Cardoso, S.M. Carew, J.S. Carleton, L.A. Carlin, C.R. Carloni, S. Carlsson, S.R. Carmona-Gutierrez, D. Carneiro, L.A.M. Carnevali, O. Carra, S. Carrier, A. Carroll, B. Casas, C. Casas, J. Cassinelli, G. Castets, P. Castro-Obregon, S. Cavallini, G. Ceccherini, I. Cecconi, F. Cederbaum, A.I. Ceña, V. Cenci, S. Cerella, C. Cervia, D. Cetrullo, S. Chaachouay, H. Chae, H.-J. Chagin, A.S. Chai, C.-Y. Chakrabarti, G. Chamilos, G. Chan, E.Y.W. Chan, M.T.V. Chandra, D. Chandra, P. Chang, C.-P. Chang, R.C.-C. Chang, T.Y. Chatham, J.C. Chatterjee, S. Chauhan, S. Che, Y. Cheetham, M.E. Cheluvappa, R. Chen, C.-J. Chen, G. Chen, G.-C. Chen, G. Chen, H. Chen, J.W. Chen, J.-K. Chen, M. Chen, M. Chen, P. Chen, Q. Chen, Q. Chen, S.-D. Chen, S. Chen, S.S.-L. Chen, W. Chen, W.-J. Chen, W.Q. Chen, W. Chen, X. Chen, Y.-H. Chen, Y.-G. Chen, Y. Chen, Y. Chen, Y. Chen, Y.-J. Chen, Y.-Q. Chen, Y. Chen, Z. Chen, Z. Cheng, A. Cheng, C.H.K. Cheng, H. Cheong, H. Cherry, S. Chesney, J. Cheung, C.H.A. Chevet, E. Chi, H.C. Chi, S.-G. Chiacchiera, F. Chiang, H.-L. Chiarelli, R. Chiariello, M. Chieppa, M. Chin, L.-S. Chiong, M. Chiu, G.N.C. Cho, D.-H. Cho, S.-G. Cho, W.C. Cho, Y.-Y. Cho, Y.-S. Choi, A.M.K. Choi, E.-J. Choi, E.-K. Choi, J. Choi, M.E. Choi, S.-I. Chou, T.-F. Chouaib, S. Choubey, D. Choubey, V. Chow, K.-C. Chowdhury, K. Chu, C.T. Chuang, T.-H. Chun, T. Chung, H. Chung, T. Chung, Y.-L. Chwae, Y.-J. Cianfanelli, V. Ciarcia, R. Ciechomska, I.A. Ciriolo, M.R. Cirone, M. Claerhout, S. Clague, M.J. Cl� ria, J. Clarke, P.G.H. Clarke, R. Clementi, E. Cleyrat, C. Cnop, M. Coccia, E.M. Cocco, T. Codogno, P. Coers, J. Cohen, E.E.W. Colecchia, D. Coletto, L. Coll, N.S. Colucci-Guyon, E. Comincini, S. Condello, M. Cook, K.L. Coombs, G.H. Cooper, C.D. Cooper, J.M. Coppens, I. Corasaniti, M.T. Corazzari, M. Corbalan, R. Corcelle-Termeau, E. Cordero, M.D. Corral-Ramos, C. Corti, O. Cossarizza, A. Costelli, P. Costes, S. Cotman, S.L. Coto-Montes, A. Cottet, S. Couve, E. Covey, L.R. Cowart, L.A. Cox, J.S. Coxon, F.P. Coyne, C.B. Cragg, M.S. Craven, R.J. Crepaldi, T. Crespo, J.L. Criollo, A. Crippa, V. Cruz, M.T. Cuervo, A.M. Cuezva, J.M. Cui, T. Cutillas, P.R. Czaja, M.J. Czyzyk-Krzeska, M.F. Dagda, R.K. Dahmen, U. Dai, C. Dai, W. Dai, Y. Dalby, K.N. Valle, L.D. Dalmasso, G. D'amelio, M. Damme, M. Darfeuille-Michaud, A. Dargemont, C. Darley-Usmar, V.M. Dasarathy, S. Dasgupta, B. Dash, S. Dass, C.R. Davey, H.M. Davids, L.M. Dávila, D. Davis, R.J. Dawson, T.M. Dawson, V.L. Daza, P. de Belleroche, J. de Figueiredo, P. de Figueiredo, R.C.B.Q. de la Fuente, J. De Martino, L. De Matteis, A. De Meyer, G.R.Y. De Milito, A. De Santi, M. de Souza, W. De Tata, V. De Zio, D. Debnath, J. Dechant, R. Decuypere, J.-P. Deegan, S. Dehay, B. Del Bello, B. Del Re, D.P. Delage-Mourroux, R. Delbridge, L.M.D. Deldicque, L. Delorme-Axford, E. Deng, Y. Dengjel, J. Denizot, M. Dent, P. Der, C.J. Deretic, V. Derrien, B. Deutsch, E. Devarenne, T.P. Devenish, R.J. Di Bartolomeo, S. Di Daniele, N. Di Domenico, F. Di Nardo, A. Di Paola, S. Di Pietro, A. Di Renzo, L. Di Antonio, A. Díaz-Araya, G. Díaz-Laviada, I. Diaz-Meco, M.T. Diaz-Nido, J. Dickey, C.A. Dickson, R.C. Diederich, M. Digard, P. Dikic, I. Dinesh-Kumar, S.P. Ding, C. Ding, W.-X. Ding, Z. Dini, L. Distler, J.H.W. Diwan, A. Djavaheri-Mergny, M. Dmytruk, K. Dobson, R.C.J. Doetsch, V. Dokladny, K. Dokudovskaya, S. Donadelli, M. Dong, X.C. Dong, X. Dong, Z. Donohue, T.M., Jr. Donohue-Jr, T.M. Doran, K.S. D'orazi, G. Dorn, G.W., II Dosenko, V. Dridi, S. Drucker, L. Du, J. Du, L.-L. Du, L. du Toit, A. Dua, P. Duan, L. Duann, P. Dubey, V.K. Duchen, M.R. Duchosal, M.A. Duez, H. Dugail, I. Dumit, V.I. Duncan, M.C. Dunlop, E.A. Dunn, W.A., Jr. Dupont, N. Dupuis, L. Durán, R.V. Durcan, T.M. Duvezin-Caubet, S. Duvvuri, U. Eapen, V. Ebrahimi-Fakhari, D. Echard, A. Eckhart, L. Edelstein, C.L. Edinger, A.L. Eichinger, L. Eisenberg, T. Eisenberg-Lerner, A. Eissa, N.T. El-Deiry, W.S. El-Khoury, V. Elazar, Z. Eldar-Finkelman, H. Elliott, C.J.H. Emanuele, E. Emmenegger, U. Engedal, N. Engelbrecht, A.-M. Engelender, S. Enserink, J.M. Erdmann, R. Erenpreisa, J. Eri, R. Eriksen, J.L. Erman, A. Escalante, R. Eskelinen, E.-L. Espert, L. Esteban-Martínez, L. Evans, T.J. Fabri, M. Fabrias, G. Fabrizi, C. Facchiano, A. Færgeman, N.J. Faggioni, A. Fairlie, W.D. Fan, C. Fan, D. Fan, J. Fang, S. Fanto, M. Fanzani, A. Farkas, T. Faure, M. Favier, F.B. Fearnhead, H. Federici, M. Fei, E. Felizardo, T.C. Feng, H. Feng, Y. Feng, Y. Ferguson, T.A. Fernández, Á.F. Fernandez-Barrena, M.G. Fernandez-Checa, J.C. Fernández-López, A. Fernandez-Zapico, M.E. Feron, O. Ferraro, E. Ferreira-Halder, C.V. Fesus, L. Feuer, R. Fiesel, F.C. Filippi-Chiela, E.C. Filomeni, G. Fimia, G.M. Fingert, J.H. Finkbeiner, S. Finkel, T. Fiorito, F. Fisher, P.B. Flajolet, M. Flamigni, F. Florey, O. 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Zhang, J. Zhang, J.-P. Zhang, L. Zhang, L. Zhang, L. Zhang, M.-Y. Zhang, X. Zhang, X.D. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhao, M. Zhao, W.-L. Zhao, X. Zhao, Y.G. Zhao, Y. Zhao, Y. Zhao, Y.-X. Zhao, Z. Zhao, Z.J. Zheng, D. Zheng, X.-L. Zheng, X. Zhivotovsky, B. Zhong, Q. Zhou, G.-Z. Zhou, G. Zhou, H. Zhou, S.-F. Zhou, X.-J. Zhu, H. Zhu, H. Zhu, W.-G. Zhu, W. Zhu, X.-F. Zhu, Y. Zhuang, S.-M. Zhuang, X. Ziparo, E. Zois, C.E. Zoladek, T. Zong, W.-X. Zorzano, A. Zughaier, S.M.

Published
2016

10. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Author

Klionsky, D.J. Abdelmohsen, K. Abe, A. Abedin, M.J. Abeliovich, H. Arozena, A.A. Adachi, H. Adams, C.M. Adams, P.D. Adeli, K. Adhihetty, P.J. Adler, S.G. Agam, G. Agarwal, R. Aghi, M.K. Agnello, M. Agostinis, P. Aguilar, P.V. Aguirre-Ghiso, J. Airoldi, E.M. Ait-Si-Ali, S. Akematsu, T. Akporiaye, E.T. Al-Rubeai, M. Albaiceta, G.M. Albanese, C. Albani, D. Albert, M.L. Aldudo, J. Algül, H. Alirezaei, M. Alloza, I. Almasan, A. Almonte-Beceril, M. Alnemri, E.S. Alonso, C. Altan-Bonnet, N. Altieri, D.C. Alvarez, S. Alvarez-Erviti, L. Alves, S. Amadoro, G. Amano, A. Amantini, C. Ambrosio, S. Amelio, I. Amer, A.O. Amessou, M. Amon, A. An, Z. Anania, F.A. Andersen, S.U. Andley, U.P. Andreadi, C.K. Andrieu-Abadie, N. Anel, A. Ann, D.K. Anoopkumar-Dukie, S. Antonioli, M. Aoki, H. Apostolova, N. Aquila, S. Aquilano, K. Araki, K. Arama, E. Aranda, A. Araya, J. Arcaro, A. Arias, E. Arimoto, H. Ariosa, A.R. Armstrong, J.L. Arnould, T. Arsov, I. Asanuma, K. Askanas, V. Asselin, E. Atarashi, R. Atherton, S.S. Atkin, J.D. Attardi, L.D. Auberger, P. Auburger, G. Aurelian, L. Autelli, R. Avagliano, L. Avantaggiati, M.L. Avrahami, L. Azad, N. Awale, S. Bachetti, T. Backer, J.M. Bae, D.-H. Bae, J.-S. Bae, O.-N. Bae, S.H. Baehrecke, E.H. Baek, S.-H. Baghdiguian, S. Bagniewska-Zadworna, A. Bai, H. Bai, J. Bai, X.-Y. Bailly, Y. Balaji, K.N. Balduini, W. Ballabio, A. Balzan, R. Banerjee, R. Bánhegyi, G. Bao, H. Barbeau, B. Barrachina, M.D. Barreiro, E. Bartel, B. Bartolomé, A. Bassham, D.C. Bassi, M.T. Bast, R.C., Jr. Basu, A. Batista, M.T. Batoko, H. Battino, M. Bauckman, K. Baumgarner, B.L. Bayer, K.U. Beale, R. Beaulieu, J.-F. Beck, G.R., Jr. Becker, C. Beckham, J.D. Bédard, P.-A. Bednarski, P.J. Begley, T.J. Behl, C. Behrends, C. Behrens, G.M.N. Behrns, K.E. Bejarano, E. Belaid, A. Belleudi, F. Bénard, G. Berchem, G. Bergamaschi, D. Bergami, M. Berkhout, B. Berliocchi, L. Bernard, A. Bernard, M. Bernassola, F. Bertolotti, A. Bess, A.S. Besteiro, S. Bettuzzi, S. Bhalla, S. Bhattacharyya, S. Bhutia, S.K. Biagosch, C. Bianchi, M.W. Biard-Piechaczyk, M. Billes, V. Bincoletto, C. Bingol, B. Bird, S.W. Bitoun, M. Bjedov, I. Blackstone, C. Blanc, L. Blanco, G.A. Blomhoff, H.K. Boada-Romero, E. Böckler, S. Boes, M. Boesze-Battaglia, K. Boise, L.H. Bolino, A. Boman, A. Bonaldo, P. Bordi, M. Bosch, J. Botana, L.M. Botti, J. Bou, G. Bouché, M. Bouchecareilh, M. Boucher, M.-J. Boulton, M.E. Bouret, S.G. Boya, P. Boyer-Guittaut, M. Bozhkov, P.V. Brady, N. Braga, V.M.M. Brancolini, C. Braus, G.H. Bravo-San-Pedro, J.M. Brennan, L.A. Bresnick, E.H. Brest, P. Bridges, D. Bringer, M.-A. Brini, M. Brito, G.C. Brodin, B. Brookes, P.S. Brown, E.J. Brown, K. Broxmeyer, H.E. Bruhat, A. Brum, P.C. Brumell, J.H. Brunetti-Pierri, N. Bryson-Richardson, R.J. Buch, S. Buchan, A.M. Budak, H. Bulavin, D.V. Bultman, S.J. Bultynck, G. Bumbasirevic, V. Burelle, Y. Burke, R.E. Burmeister, M. Bütikofer, P. Caberlotto, L. Cadwell, K. Cahova, M. Cai, D. Cai, J. Cai, Q. Calatayud, S. 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Váchová, L. Vakifahmetoglu-Norberg, H. Valdor, R. Valente, E.M. Vallette, F. Valverde, A.M. Van den Berghe, G. Van Den Bosch, L. van den Brink, G.R. van der Goot, F.G. van der Klei, I.J. van der Laan, L.J.W. van Doorn, W.G. van Egmond, M. van Golen, K.L. Van Kaer, L. Campagne, M.L. Vandenabeele, P. Vandenberghe, W. Vanhorebeek, I. Varela-Nieto, I. Vasconcelos, M.H. Vasko, R. Vavvas, D.G. Vega-Naredo, I. Velasco, G. Velentzas, A.D. Velentzas, P.D. Vellai, T. Vellenga, E. Vendelbo, M.H. Venkatachalam, K. Ventura, N. Ventura, S. Veras, P.S.T. Verdier, M. Vertessy, B.G. Viale, A. Vidal, M. Vieira, H.L.A. Vierstra, R.D. Vigneswaran, N. Vij, N. Vila, M. Villar, M. Villar, V.H. Villarroya, J. Vindis, C. Viola, G. Viscomi, M.T. Vitale, G. Vogl, D.T. Voitsekhovskaja, O.V. von Haefen, C. von Schwarzenberg, K. Voth, D.E. Vouret-Craviari, V. Vuori, K. Vyas, J.M. Waeber, C. Walker, C.L. Walker, M.J. Walter, J. Wan, L. Wan, X. Wang, B. Wang, C. Wang, C.-Y. Wang, C. Wang, C. Wang, C. Wang, D. 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Published
2016

12. Live weight, body size and carcass characteristics of young bulls of fifteen European breeds

Author

R.I. Richardson, John L. Williams, G.R. Nute, Carlos Sañudo, R. Jailler, Pere Albertí, S. Concetti, S. Gigli, Gilles Renand, José Luis Olleta, Begoña Panea, Per Ertbjerg, S. Rudel, Jean-François Hocquette, Mette Christensen, Guillermo Ripoll, S. Failla, Centro de Investigacion y Tecnologia Agroalimentaria (CITA), University of Zaragoza - Universidad de Zaragoza [Zaragoza], Department of Food Science, Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Istituto Sperimentale per la Zootecnia, Unité de Recherches sur les Herbivores (URH), Institut National de la Recherche Agronomique (INRA), Station de Génétique Quantitative et Appliquée (SGQA), Division of Farm Animal Science, University of Bristol [Bristol], and Parco Tecnologico Padano

Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Veterinary medicine, Withers, Marchigiana, Live weight, Body size, Beef cattle, LONGISSIMUS THORACIS MEASURES, Intermediate group, 03 medical and health sciences, Carcass weight, Animal science, PHENOTYPIC RELATIONSHIPS, 030304 developmental biology, CARCASS MORPHOLOGY, 2. Zero hunger, CARCASS TRAITS, 0303 health sciences, General Veterinary, biology, 0402 animal and dairy science, 04 agricultural and veterinary sciences, biology.organism_classification, 040201 dairy & animal science, Animal Science and Zoology, BEEF CATTLE
Abstract

International audience; A total of 436 young bulls from fifteen Western European breeds, including beef, dairy and local types from five countries, were studied to assess variability in live weight, live weight gain, body measurements and carcass traits. Animals were logged indoors, and fed a diet based on concentrate and straw offered ad libitum from 9 months of age to slaughter at 15 months of age. The weight, body length, height at withers and pelvis width, of the animals were recorded at 9, 12 and 15 months of age. After slaughter, 15 carcass variables were recorded, including carcass weight, EU classification scores, morphological measurements and dissection data. Data were analysed by GLM, regression and principal component analysis procedures. Significant differences were found between breeds for all variables studied, however, the body size measurements and the carcass traits were more useful to discriminate among cattle breeds, than either live weight or daily gain. With respect to the body size and carcass traits the studied breeds could be grouped as: Specialized beef breeds, comprising Piemontese, Asturiana de los Valles, Pirenaica, Limousin, South Devon, Charolais and Aberdeen Angus, all of which were characterized by high muscularity, wide pelvis and medium height and a low to medium level of fatness. Local and dairy breeds, comprising Jersey, Casina, Highland, Holstein and Danish Red, the latter two breeds were tall animals, while the former three breeds were small in size. In general the group was poorly muscled and tended to have a high or medium level of fat. Intermediate group, Avilena, Marchigiana and Simmental: these breeds were characterized by an intermediate muscle conformation and fatness level and were relatively tall. This study provides a detailed assessment or a wide range of variables in the major breeds, and several minor breeds, that are used in breeding programmes across Europe and elsewhere, and will provide information that will be of use to define breeding strategies to meet the demands of the European beef market. (c) 2007 Elsevier B.V. All rights reserved.

Published
2008

13. A partial genome scan to map quantitative trait loci for carcass composition, as assessed by X-ray computer tomography, and meat quality traits in Scottish Blackface Sheep.

Author

E. Karamichou, R.I. Richardson, G.R. Nute, K.A. McLean, and S.C. Bishop

Abstract

Quantitative trait loci (QTL) were identified for traits related to carcass and meat quality in Scottish Blackface sheep. The population studied was a double backcross between lines of sheep divergently selected for carcass lean content (LEAN and FAT lines), comprising nine half-sib families. Carcass composition (600 lambs) was assessed non-destructively using computerized tomography (CT) scanning and meat quality measurements (initial and final pH of m. semimembranosus, colour, shear force value, carcass weight, lamb flavour, juiciness, tenderness and overall liking) were taken on 300 male lambs. Lambs and their sires were genotyped across candidate regions on chromosomes 1, 2, 3, 5, 14, 18, 20 and 21. QTL analyses were performed using regression interval mapping techniques. In total, nine genome-wise significant and 11 chromosome-wise and suggestive QTL were detected in seven out of eight chromosomes. Genome-wise significant QTL were mapped for lamb flavour (OAR 1); for muscle densities (OAR 2 and OAR 3); for colour a* (redness) (OAR 3); for bone density (OAR 1); for slaughter live weight (OAR 1 and OAR 2) and for the weights of cold and hot carcass (OAR 5). The QTL with the strongest statistical evidence affected the lamb flavour of meat and was on OAR 1, in a region homologous with a porcine SSC 13 QTL identified for pork flavour. This QTL segregated in four of the nine families. This study provides new information on QTL affecting meat quality and carcass composition traits in sheep, which may lead to novel opportunities for genetically improving these traits. [ABSTRACT FROM AUTHOR]

Published
2006
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14. Influence of cold on growth and survival of bacteria

Author

Michel Hebraud, Jean-Claude Labadie, Station de recherches sur la viande, Institut National de la Recherche Agronomique (INRA), A.A. Taylor (Editeur), R.I. Richardson (Editeur), European Commission - European Union DG XII, Bruxelles (BEL), and ProdInra, Migration

Subjects
[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering, [SDV.IDA]Life Sciences [q-bio]/Food engineering, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, [SDV.IDA] Life Sciences [q-bio]/Food engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1998

15. What price beef tenderness ?

Author

Dransfield, Eric, Station de recherches sur la viande, Institut National de la Recherche Agronomique (INRA), A.A. Taylor (Editeur), R.I. Richardson (Editeur), and ProdInra, Migration

Subjects
[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering, [SDV.IDA]Life Sciences [q-bio]/Food engineering, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, [SDV.IDA] Life Sciences [q-bio]/Food engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1998

16. Effect of very fast chilling on lag phase, growth and protein synthesis in the psychrotrophic spoilage bacterium, Pseudomonas Fragi

Author

Michel Hebraud, Michel, V., ProdInra, Migration, A.A. Taylor (Editeur), R.I. Richardson (Editeur), Station de recherches sur la viande, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering, [SDV.IDA]Life Sciences [q-bio]/Food engineering, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, [SDV.IDA] Life Sciences [q-bio]/Food engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1998

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