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Déru V, Bouquet A, Zemb O, Blanchet B, De Almeida ML, Cauquil L, Carillier-Jacquin C, Gilbert H. Genetic relationships between efficiency traits and gut microbiota traits in growing pigs fed a conventional or a high fiber diet. J Anim Sci 2022; 100:6586877. [PMID: 35579995 PMCID: PMC9194801 DOI: 10.1093/jas/skac183] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 05/16/2022] [Indexed: 11/20/2022] Open
Abstract
In pigs, the gut microbiota composition plays a major role in the process of digestion, but is influenced by many external factors, especially diet. To be used in breeding applications, genotype by diet interactions on microbiota composition have to be quantified, as well as their impact on genetic covariances with feed efficiency (FE) and digestive efficiency (DE) traits. This study aimed at determining the impact of an alternative diet on variance components of microbiota traits (genera and alpha diversity indices) and estimating genetic correlations between microbiota and efficiency traits for pigs fed a conventional (CO) or a high-fiber (HF) diet. Fecal microbes of 812 full-siblings fed a CO diet and 752 pigs fed the HF diet were characterized at 16 weeks of age by sequencing the V3-V4 region of the 16S rRNA gene. A total of 231 genera were identified. Digestibility coefficients of nitrogen, organic matter, and energy were predicted analyzing the same fecal samples with near infrared spectrometry. Daily feed intake, feed conversion ratio, residual feed intake and average daily gain (ADG) were also recorded. The 71 genera present in more than 20% of individuals were retained for genetic analyses. Heritability (h²) of microbiota traits were similar between diets (from null to 0.38 ± 0.12 in the CO diet and to 0.39 ± 0.12 in the HF diet). Only three out of the 24 genera and two alpha diversity indices with significant h² in both diets had genetic correlations across diets significantly different from 0.99 (P < 0.05), indicating limited genetic by diet interactions for these traits. When both diets were analyzed jointly, 59 genera had h² significantly different from zero. Based on the genetic correlations between these genera and ADG, FE, and DE traits, three groups of genera could be identified. A group of 29 genera had abundances favorably correlated with DE and FE traits, 14 genera were unfavorably correlated with DE traits, and the last group of 16 genera had abundances with correlations close to zero with production traits. However, genera abundances favorably correlated with DE and FE traits were unfavorably correlated with ADG, and vice versa. Alpha diversity indices had correlation patterns similar to the first group. In the end, genetic by diet interactions on gut microbiota composition of growing pigs were limited in this study. Based on this study, microbiota-based traits could be used as proxies to improve FE and DE in growing pigs.
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Affiliation(s)
- V Déru
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France.,France Génétique Porc, 35651 Le Rheu Cedex, France
| | - A Bouquet
- IFIP-Institut du Porc, 35651 Le Rheu Cedex, France
| | - O Zemb
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
| | - B Blanchet
- UE3P, INRAE, Domaine de la Prise, 35590, Saint-Gilles, France
| | - M L De Almeida
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
| | - L Cauquil
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
| | - C Carillier-Jacquin
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
| | - H Gilbert
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31320 Castanet Tolosan, France
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Bouquet A, Déru V, Blanchet B, Ganier P, Flatrès-Grall L, Ligonesche B, Carillier-Jacquin C, Labussière E, Gilbert H. Digestive efficiency traits in growing pigs are genetically correlated with sow litter traits in the Large White breed. Animal 2022; 16:100447. [PMID: 35074648 DOI: 10.1016/j.animal.2021.100447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 12/15/2021] [Accepted: 12/16/2021] [Indexed: 11/15/2022] Open
Abstract
Digestive efficiency traits are promising selection criteria to improve feed efficiency in pigs. However, the genetic relationships between digestive efficiency and sow reproductive traits are mostly unknown and need to be estimated. In this study, reproductive traits were available for 61 601 litters recorded on 21 719 Large White purebred sows. The traits were comprised of the number of born alive (NBA) and the number of weaned piglets (NWP), the number of stillbirths (NSB) and piglet mortality during suckling (PM). For a subset of 32518 litters, the mean (MBW) and CV of piglet birth weights (CVBW) were deduced from individual piglet weights as well as the proportion of piglets weighing less than 1 kg (PPL1K). Growth and feed efficiency traits were available for 4 643 Large White male pigs related to sows with reproductive performances. They comprised average daily gain (ADG), daily feed intake (DFI) and feed conversion ratio (FCR). A subset of 1 391 pigs had predictions for digestibility coefficients (DC) of energy, organic matter and nitrogen obtained by analysing faecal samples with near-infrared spectrometry. Estimated heritabilities were low for NBA, NSB, NWP and PM (0.08 ± 0.01 to 0.11 ± 0.01) and low to moderate for litter weight characteristics (0.14 ± 0.02 to 0.38 ± 0.01). Heritability estimates were moderate to high for ADG, DFI and FCR (0.37 ± 0.04 to 0.54 ± 0.05) and moderate for DC traits (0.26 ± 0.06 to 0.38 ± 0.07). Genetic correlations were low between ADG, or alternatively FCR, and reproductive traits. They were significantly different from zero with MBW (0.19 ± 0.06 with ADG and -0.15 ± 0.06 with FCR) and PPL1K (-0.19 ± 0.07 with ADG and 0.18 ± 0.07 with FCR). All genetic correlations between DFI and reproductive traits were low and not significantly different from zero. Genetic correlations between DC traits and NBA were significantly different from zero for DC of organic matter and energy (<-0.25 ± 0.11). DC traits were moderately correlated with MBW (>0.30 ± 0.11), CVBW (<-0.36 ± 0.11) and PPL1K (<-0.37 ± 0.11) at the genetic level. Genetic correlations between DC traits and PM were significantly negative and hence favourable (<-0.38 ± 0.12). Finally, genetic correlations between DC traits and NWP were close to zero. These results suggested that sows closely related to growing pigs with the best digestive efficiency would produce heavier and more homogeneous piglets, with slightly smaller litter sizes at birth but better survival. Hence, there is usable genetic variation in DC that could be exploited to define new selection strategies in maternal lines aiming at improving not only feed efficiency but also piglet survival.
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Affiliation(s)
- A Bouquet
- IFIP-Institut du Porc, BP 35104, 35651 Le Rheu Cedex, France.
| | - V Déru
- INRAE GenPhySE, Chemin de Borde Rouge, Castanet Tolosan, France; France Génétique Porc, BP 35104, 35651 Le Rheu Cedex, France
| | - B Blanchet
- INRAE UE3P, Domaine de la Motte, 35650 Le Rheu, France
| | - P Ganier
- INRAE PEGASE, Institut Agro, 35590 Saint-Gilles, France
| | | | - B Ligonesche
- Nucléus, 7 rue des orchidées, 35650 Le Rheu, France
| | | | - E Labussière
- INRAE PEGASE, Institut Agro, 35590 Saint-Gilles, France
| | - H Gilbert
- INRAE GenPhySE, Chemin de Borde Rouge, Castanet Tolosan, France
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Li Y, Krishnan K, Gilbert H, Phuong P, He X, Colburn D, Grossman W. P16.07 ARC-10: Phase 3 Study of Zimberelimab ± Domvanalimab vs Standard Chemotherapy in Front-Line, PD-L1-High, Metastatic NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Schmitt O, Reigner S, Bailly J, Ravon L, Billon Y, Gress L, Bluy L, Canario L, Gilbert H, Bonnet A, Liaubet L. Thermoregulation at birth differs between piglets from two genetic lines divergent for residual feed intake. Animal 2021; 15:100069. [PMID: 33516012 DOI: 10.1016/j.animal.2020.100069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/21/2020] [Accepted: 08/25/2020] [Indexed: 11/21/2022] Open
Abstract
Thermoregulation is essential to piglets' neonatal survival. This study used infrared thermography (IRT) to assess thermoregulation abilities of piglets from two lines divergent for residual feed intake (RFI). At birth, morphology (weight, length, width and circumference), vigour (respiration, mobility and vocalisation), and rectal temperature were recorded from piglets of the 11th generation of the low RFI (LRFI, more efficient; n = 34) and the high RFI (HRFI, less efficient; n = 28) lines. Infrared thermography images were taken at 8, 15, 30 and 60 min post partum. Temperatures of the ear base and tip, and of the back (i.e. shoulders to rumps) were extracted (Thermacam Researcher Pro 2.0) and analysed with linear mixed models (SAS 9.4). Piglets had different average hourly weight gain (HRFI = 7.1 ± 1.3 g/h, LRFI = 3.6 ± 1.3 g/h; P < 0,001) but did not differ in morphology or vigour. All temperatures increased overtime. At birth, piglets' rectal temperature was correlated with the initial temperature of the ear base and the maximum back temperature (0.37 and 0.33, respectively; P < 0.05). High residual feed intake piglets had lower ear tip temperatures than LRFI piglets at 15 (24.7 ± 0.37 °C vs. 26.3 ± 0.36 °C, respectively; F1, 63.5 = 9.11, P < 0.005) and 30 min post partum (26.2 ± 0.47 °C vs. 27.6 ± 0.44 °C, respectively; F1, 66.9 = 4.52, P < 0.05). Moreover, thermal pattern of the ear tip differed between the two genetic lines. In conclusion, IRT allowed non-invasive assessment of piglets' thermoregulation abilities and indicated an influence of genetic selection for RFI on neonatal thermoregulation abilities.
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Affiliation(s)
- O Schmitt
- Pig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Fermoy P61 P302, Ireland; Department of Animal Production, Easter Bush Veterinary Centre, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Roslin, Midlothian EH25 9RG, UK; Animal Behaviour and Welfare Team, Animal and Veterinary Sciences Research Group, SRUC, West Mains Road, Edinburgh EH9 3JG, UK.
| | - S Reigner
- INRAE, GENESI, F-17700, Saint Pierre d'Amilly, France
| | - J Bailly
- INRAE, GENESI, F-17700, Saint Pierre d'Amilly, France
| | - L Ravon
- INRAE, GENESI, F-17700, Saint Pierre d'Amilly, France
| | - Y Billon
- INRAE, GENESI, F-17700, Saint Pierre d'Amilly, France
| | - L Gress
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France
| | - L Bluy
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France
| | - L Canario
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France
| | - H Gilbert
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France
| | - A Bonnet
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France
| | - L Liaubet
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France
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Spira A, Conkling P, Chaudhry A, Colburn D, Gilbert H, Scharville M, Gardner O, Krishnan K, Paoloni M, Johnson M. 1309P ARC-4: Efficacy and safety of AB928 plus carboplatin, pemetrexed and a PD-1 antibody in participants with metastatic non-small cell lung cancer (mNSCLC). Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Tusell L, Gilbert H, Vitezica ZG, Mercat MJ, Legarra A, Larzul C. Dissecting total genetic variance into additive and dominance components of purebred and crossbred pig traits. Animal 2019; 13:2429-2439. [PMID: 31120005 DOI: 10.1017/s1751731119001046] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The partition of the total genetic variance into its additive and non-additive components can differ from trait to trait, and between purebred and crossbred populations. A quantification of these genetic variance components will determine the extent to which it would be of interest to account for dominance in genomic evaluations or to establish mate allocation strategies along different populations and traits. This study aims at assessing the contribution of the additive and dominance genomic variances to the phenotype expression of several purebred Piétrain and crossbred (Piétrain × Large White) pig performances. A total of 636 purebred and 720 crossbred male piglets were phenotyped for 22 traits that can be classified into six groups of traits: growth rate and feed efficiency, carcass composition, meat quality, behaviour, boar taint and puberty. Additive and dominance variances estimated in univariate genotypic models, including additive and dominance genotypic effects, and a genomic inbreeding covariate allowed to retrieve the additive and dominance single nucleotide polymorphism variances for purebred and crossbred performances. These estimated variances were used, together with the allelic frequencies of the parental populations, to obtain additive and dominance variances in terms of genetic breeding values and dominance deviations. Estimates of the Piétrain and Large White allelic contributions to the crossbred variance were of about the same magnitude in all the traits. Estimates of additive genetic variances were similar regardless of the inclusion of dominance. Some traits showed relevant amount of dominance genetic variance with respect to phenotypic variance in both populations (i.e. growth rate 8%, feed conversion ratio 9% to 12%, backfat thickness 14% to 12%, purebreds-crossbreds). Other traits showed higher amount in crossbreds (i.e. ham cut 8% to 13%, loin 7% to 16%, pH semimembranosus 13% to 18%, pH longissimus dorsi 9% to 14%, androstenone 5% to 13% and estradiol 6% to 11%, purebreds-crossbreds). It was not encountered a clear common pattern of dominance expression between groups of analysed traits and between populations. These estimates give initial hints regarding which traits could benefit from accounting for dominance for example to improve genomic estimated breeding value accuracy in genetic evaluations or to boost the total genetic value of progeny by means of assortative mating.
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Affiliation(s)
- L Tusell
- GenPhySE, Université de Toulouse, Institut National de la Recherche Agronomique, Institut National Polytechnique de Toulouse, Institut National Polytechnique - École Nationale Vétérinaire de Toulouse, 31320, Castanet-Tolosan, France
| | - H Gilbert
- GenPhySE, Université de Toulouse, Institut National de la Recherche Agronomique, Institut National Polytechnique de Toulouse, Institut National Polytechnique - École Nationale Vétérinaire de Toulouse, 31320, Castanet-Tolosan, France
| | - Z G Vitezica
- GenPhySE, Université de Toulouse, Institut National de la Recherche Agronomique, Institut National Polytechnique de Toulouse, Institut National Polytechnique - École Nationale Vétérinaire de Toulouse, 31320, Castanet-Tolosan, France
| | - M J Mercat
- IFIP Institut du Porc/ALLIANCE R&S, La Motte au Vicomte, 35651 Le Rheu, France
| | - A Legarra
- GenPhySE, Université de Toulouse, Institut National de la Recherche Agronomique, Institut National Polytechnique de Toulouse, Institut National Polytechnique - École Nationale Vétérinaire de Toulouse, 31320, Castanet-Tolosan, France
| | - C Larzul
- GenPhySE, Université de Toulouse, Institut National de la Recherche Agronomique, Institut National Polytechnique de Toulouse, Institut National Polytechnique - École Nationale Vétérinaire de Toulouse, 31320, Castanet-Tolosan, France
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McLean K, Glasbey J, Borakati A, Brooks T, Chang H, Choi S, Goodson R, Nielsen M, Pronin S, Salloum N, Sewart E, Vanniasegaram D, Drake T, Gillies M, Harrison E, Chapman S, Khatri C, Kong C, Claireaux H, Bath M, Mohan M, McNamee L, Kelly M, Mitchell H, Fitzgerald J, Bhangu A, Nepogodiev D, Antoniou I, Dean R, Davies N, Trecarten S, Henderson I, Holmes C, Wylie J, Shuttleworth R, Jindal A, Hughes F, Gouda P, Fleck R, Hanrahan M, Karunakaran P, Chen J, Sykes M, Sethi R, Suresh S, Patel P, Patel M, Varma R, Mushtaq J, Gundogan B, Bolton W, Khan T, Burke J, Morley R, Favero N, Adams R, Thirumal V, Kennedy E, Ong K, Tan Y, Gabriel J, Bakhsh A, Low J, Yener A, Paraoan V, Preece R, Tilston T, Cumber E, Dean S, Ross T, McCance E, Amin H, Satterthwaite L, Clement K, Gratton R, Mills E, Chiu S, Hung G, Rafiq N, Hayes J, Robertson K, Dynes K, Huang H, Assadullah S, Duncumb J, Moon R, Poo S, Mehta J, Joshi K, Callan R, Norris J, Chilvers N, Keevil H, Jull P, Mallick S, Elf D, Carr L, Player C, Barton E, Martin A, Ratu S, Roberts E, Phan P, Dyal A, Rogers J, Henson A, Reid N, Burke D, Culleton G, Lynne S, Mansoor S, Brennan C, Blessed R, Holloway C, Hill A, Goldsmith T, Mackin S, Kim S, Woin E, Brent G, Coffin J, Ziff O, Momoh Z, Debenham R, Ahmed M, Yong C, Wan J, Copley H, Raut P, Chaudhry F, Nixon G, Dorman C, Tan R, Kanabar S, Canning N, Dolaghan M, Bell N, McMenamin M, Chhabra A, Duke K, Turner L, Patel T, Chew L, Mirza M, Lunawat S, Oremule B, Ward N, Khan M, Tan E, Maclennan D, McGregor R, Chisholm E, Griffin E, Bell L, Hughes B, Davies J, Haq H, Ahmed H, Ungcharoen N, Whacha C, Thethi R, Markham R, Lee A, Batt E, Bullock N, Francescon C, Davies J, Shafiq N, Zhao J, Vivekanantham S, Barai I, Allen J, Marshall D, McIntyre C, Wilson H, Ashton A, Lek C, Behar N, Davis-Hall M, Seneviratne N, Esteve L, Sirakaya M, Ali S, Pope S, Ahn J, Craig-McQuaide A, Gatfield W, Leong S, Demetri A, Kerr A, Rees C, Loveday J, Liu S, Wijesekera M, Maru D, Attalla M, Smith N, Brown D, Sritharan P, Shah A, Charavanamuttu V, Heppenstall-Harris G, Ng K, Raghvani T, Rajan N, Hulley K, Moody N, Williams M, Cotton A, Sharifpour M, Lwin K, Bright M, Chitnis A, Abdelhadi M, Semana A, Morgan F, Reid R, Dickson J, Anderson L, McMullan R, Ahern N, Asmadi A, Anderson L, Boon Xuan JL, Crozier L, McAleer S, Lees D, Adebayo A, Das M, Amphlett A, Al-Robeye A, Valli A, Khangura J, Winarski A, Ali A, Woodward H, Gouldthrope C, Turner M, Sasapu K, Tonkins M, Wild J, Robinson M, Hardie J, Heminway R, Narramore R, Ramjeeawon N, Hibberd A, Winslow F, Ho W, Chong B, Lim K, Ho S, Crewdson J, Singagireson S, Kalra N, Koumpa F, Jhala H, Soon W, Karia M, Rasiah M, Xylas D, Gilbert H, Sundar-Singh M, Wills J, Akhtar S, Patel S, Hu L, Brathwaite-Shirley C, Nayee H, Amin O, Rangan T, Turner E, McCrann C, Shepherd R, Patel N, Prest-Smith J, Auyoung E, Murtaza A, Coates A, Prys-Jones O, King M, Gaffney S, Dewdney C, Nehikhare I, Lavery J, Bassett J, Davies K, Ahmad K, Collins A, Acres M, Egerton C, Cheng K, Chen X, Chan N, Sheldon A, Khan S, Empey J, Ingram E, Malik A, Johnstone M, Goodier R, Shah J, Giles J, Sanders J, McLure S, Pal S, Rangedara A, Baker A, Asbjoernsen C, Girling C, Gray L, Gauntlett L, Joyner C, Qureshi S, Mogan Y, Ng J, Kumar A, Park J, Tan D, Choo K, Raman K, Buakuma P, Xiao C, Govinden S, Thompson O, Charalambos M, Brown E, Karsan R, Dogra T, Bullman L, Dawson P, Frank A, Abid H, Tung L, Qureshi U, Tahmina A, Matthews B, Harris R, O'Connor A, Mazan K, Iqbal S, Stanger S, Thompson J, Sullivan J, Uppal E, MacAskill A, Bamgbose F, Neophytou C, Carroll A, Rookes C, Datta U, Dhutia A, Rashid S, Ahmed N, Lo T, Bhanderi S, Blore C, Ahmed S, Shaheen H, Abburu S, Majid S, Abbas Z, Talukdar S, Burney L, Patel J, Al-Obaedi O, Roberts A, Mahboob S, Singh B, Sheth S, Karia P, Prabhudesai A, Kow K, Koysombat K, Wang S, Morrison P, Maheswaran Y, Keane P, Copley P, Brewster O, Xu G, Harries P, Wall C, Al-Mousawi A, Bonsu S, Cunha P, Ward T, Paul J, Nadanakumaran K, Tayeh S, Holyoak H, Remedios J, Theodoropoulou K, Luhishi A, Jacob L, Long F, Atayi A, Sarwar S, Parker O, Harvey J, Ross H, Rampal R, Thomas G, Vanmali P, McGowan C, Stein J, Robertson V, Carthew L, Teng V, Fong J, Street A, Thakker C, O'Reilly D, Bravo M, Pizzolato A, Khokhar H, Ryan M, Cheskes L, Carr R, Salih A, Bassiony S, Yuen R, Chrastek D, Rosen O'Sullivan H, Amajuoyi A, Wang A, Sitta O, Wye J, Qamar M, Major C, Kaushal A, Morgan C, Petrarca M, Allot R, Verma K, Dutt S, Chilima C, Peroos S, Kosasih S, Chin H, Ashken L, Pearse R, O'Loughlin R, Menon A, Singh K, Norton J, Sagar R, Jathanna N, Rothwell L, Watson N, Harding F, Dube P, Khalid H, Punjabi N, Sagmeister M, Gill P, Shahid S, Hudson-Phillips S, George D, Ashwood J, Lewis T, Dhar M, Sangal P, Rhema I, Kotecha D, Afzal Z, Syeed J, Prakash E, Jalota P, Herron J, Kimani L, Delport A, Shukla A, Agarwal V, Parthiban S, Thakur H, Cymes W, Rinkoff S, Turnbull J, Hayat M, Darr S, Khan U, Lim J, Higgins A, Lakshmipathy G, Forte B, Canning E, Jaitley A, Lamont J, Toner E, Ghaffar A, McDowell M, Salmon D, O'Carroll O, Khan A, Kelly M, Clesham K, Palmer C, Lyons R, Bell A, Chin R, Waldron R, Trimble A, Cox S, Ashfaq U, Campbell J, Holliday R, McCabe G, Morris F, Priestland R, Vernon O, Ledsam A, Vaughan R, Lim D, Bakewell Z, Hughes R, Koshy R, Jackson H, Narayan P, Cardwell A, Jubainville C, Arif T, Elliott L, Gupta V, Bhaskaran G, Odeleye A, Ahmed F, Shah R, Pickard J, Suleman Y, North A, McClymont L, Hussain N, Ibrahim I, Ng G, Wong V, Lim A, Harris L, Tharmachandirar T, Mittapalli D, Patel V, Lakhani M, Bazeer H, Narwani V, Sandhu K, Wingfield L, Gentry S, Adjei H, Bhatti M, Braganza L, Barnes J, Mistry S, Chillarge G, Stokes S, Cleere J, Wadanamby S, Bucko A, Meek J, Boxall N, Heywood E, Wiltshire J, Toh C, Ward A, Shurovi B, Horth D, Patel B, Ali B, Spencer T, Axelson T, Kretzmer L, Chhina C, Anandarajah C, Fautz T, Horst C, Thevathasan A, Ng J, Hirst F, Brewer C, Logan A, Lockey J, Forrest P, Keelty N, Wood A, Springford L, Avery P, Schulz T, Bemand T, Howells L, Collier H, Khajuria A, Tharakan R, Parsons S, Buchan A, McGalliard R, Mason J, Cundy O, Li N, Redgrave N, Watson R, Pezas T, Dennis Y, Segall E, Hameed M, Lynch A, Chamberlain M, Peck F, Neo Y, Russell G, Elseedawy M, Lee S, Foster N, Soo Y, Puan L, Dennis R, Goradia H, Qureshi A, Osman S, Reeves T, Dinsmore L, Marsden M, Lu Q, Pitts-Tucker T, Dunn C, Walford R, Heathcote E, Martin R, Pericleous A, Brzyska K, Reid K, Williams M, Wetherall N, McAleer E, Thomas D, Kiff R, Milne S, Holmes M, Bartlett J, Lucas de Carvalho J, Bloomfield T, Tongo F, Bremner R, Yong N, Atraszkiewicz B, Mehdi A, Tahir M, Sherliker G, Tear A, Pandey A, Broyd A, Omer H, Raphael M, Chaudhry W, Shahidi S, Jawad A, Gill C, Fisher IH, Adeleja I, Clark I, Aidoo-Micah G, Stather P, Salam G, Glover T, Deas G, Sim N, Obute R, Wynell-Mayow W, Sait M, Mitha N, de Bernier G, Siddiqui M, Shaunak R, Wali A, Cuthbert G, Bhudia R, Webb E, Shah S, Ansari N, Perera M, Kelly N, McAllister R, Stanley G, Keane C, Shatkar V, Maxwell-Armstrong C, Henderson L, Maple N, Manson R, Adams R, Semple E, Mills M, Daoub A, Marsh A, Ramnarine A, Hartley J, Malaj M, Jewell P, Whatling E, Hitchen N, Chen M, Goh B, Fern J, Rogers S, Derbyshire L, Robertson D, Abuhussein N, Deekonda P, Abid A, Harrison P, Aildasani L, Turley H, Sherif M, Pandey G, Filby J, Johnston A, Burke E, Mohamud M, Gohil K, Tsui A, Singh R, Lim S, O'Sullivan K, McKelvey L, O'Neill S, Roberts H, Brown F, Cao Y, Buckle R, Liew Y, Sii S, Ventre C, Graham C, Filipescu T, Yousif A, Dawar R, Wright A, Peters M, Varley R, Owczarek S, Hartley S, Khattak M, Iqbal A, Ali M, Durrani B, Narang Y, Bethell G, Horne L, Pinto R, Nicholls K, Kisyov I, Torrance H, English W, Lakhani S, Ashraf S, Venn M, Elangovan V, Kazmi Z, Brecher J, Sukumar S, Mastan A, Mortimer A, Parker J, Boyle J, Elkawafi M, Beckett J, Mohite A, Narain A, Mazumdar E, Sreh A, Hague A, Weinberg D, Fletcher L, Steel M, Shufflebotham H, Masood M, Sinha Y, Jenvey C, Kitt H, Slade R, Craig A, Deall C, Reakes T, Chervenkoff J, Strange E, O'Bryan M, Murkin C, Joshi D, Bergara T, Naqib S, Wylam D, Scotcher S, Hewitt C, Stoddart M, Kerai A, Trist A, Cole S, Knight C, Stevens S, Cooper G, Ingham R, Dobson J, O'Kane A, Moradzadeh J, Duffy A, Henderson C, Ashraf S, McLaughin C, Hoskins T, Reehal R, Bookless L, McLean R, Stone E, Wright E, Abdikadir H, Roberts C, Spence O, Srikantharajah M, Ruiz E, Matthews J, Gardner E, Hester E, Naran P, Simpson R, Minhas M, Cornish E, Semnani S, Rojoa D, Radotra A, Eraifej J, Eparh K, Smith D, Mistry B, Hickling S, Din W, Liu C, Mithrakumar P, Mirdavoudi V, Rashid M, Mcgenity C, Hussain O, Kadicheeni M, Gardner H, Anim-Addo N, Pearce J, Aslanyan A, Ntala C, Sorah T, Parkin J, Alizadeh M, White A, Edozie F, Johnston J, Kahar A, Navayogaarajah V, Patel B, Carter D, Khonsari P, Burgess A, Kong C, Ponweera A, Cody A, Tan Y, Ng A, Croall A, Allan C, Ng S, Raghuvir V, Telfer R, Greenhalgh A, McKerr C, Edison M, Patel B, Dear K, Hardy M, Williams P, Hassan S, Sajjad U, O'Neill E, Lopes S, Healy L, Jamal N, Tan S, Lazenby D, Husnoo S, Beecroft S, Sarvanandan T, Weston C, Bassam N, Rabinthiran S, Hayat U, Ng L, Varma D, Sukkari M, Mian A, Omar A, Kim J, Sellathurai J, Mahmood J, O'Connell C, Bose R, Heneghan H, Lalor P, Matheson J, Doherty C, Cullen C, Cooper D, Angelov S, Drislane C, Smith A, Kreibich A, Palkhi E, Durr A, Lotfallah A, Gold D, Mckean E, Dhanji A, Anilkumar A, Thacoor A, Siddiqui Z, Lim S, Piquet A, Anderson S, McCormack D, Gulati J, Ibrahim A, Murray S, Walsh S, McGrath A, Ziprin P, Chua E, Lou C, Bloomer J, Paine H, Osei-Kuffour D, White C, Szczap A, Gokani S, Patel K, Malys M, Reed A, Torlot G, Cumber E, Charania A, Ahmad S, Varma N, Cheema H, Austreng L, Petra H, Chaudhary M, Zegeye M, Cheung F, Coffey D, Heer R, Singh S, Seager E, Cumming S, Suresh R, Verma S, Ptacek I, Gwozdz A, Yang T, Khetarpal A, Shumon S, Fung T, Leung W, Kwang P, Chew L, Loke W, Curran A, Chan C, McGarrigle C, Mohan K, Cullen S, Wong E, Toale C, Collins D, Keane N, Traynor B, Shanahan D, Yan A, Jafree D, Topham C, Mitrasinovic S, Omara S, Bingham G, Lykoudis P, Miranda B, Whitehurst K, Kumaran G, Devabalan Y, Aziz H, Shoa M, Dindyal S, Yates J, Bernstein I, Rattan G, Coulson R, Stezaker S, Isaac A, Salem M, McBride A, McFarlane H, Yow L, MacDonald J, Bartlett R, Turaga S, White U, Liew W, Yim N, Ang A, Simpson A, McAuley D, Craig E, Murphy L, Shepherd P, Kee J, Abdulmajid A, Chung A, Warwick H, Livesey A, Holton P, Theodoreson M, Jenkin S, Turner J, Entwisle J, Marchal S, O'Connor S, Blege H, Aithie J, Sabine L, Stewart G, Jackson S, Kishore A, Lankage C, Acquaah F, Joyce H, McKevitt K, Coffey C, Fawaz A, Dolbec K, O'Sullivan D, Geraghty J, Lim E, Bolton L, FitzPatrick D, Robinson C, Ramtoola T, Collinson S, Grundy L, McEnhill P, Harbhajan Singh G, Loughran D, Golding D, Keeling R, Williams R, Whitham R, Yoganathan S, Nachiappan R, Egan R, Owasil R, Kwan M, He A, Goh R, Bhome R, Wilson H, Teoh P, Raji K, Jayakody N, Matthams J, Chong J, Luk C, Greig R, Trail M, Charalambous G, Rocke A, Gardiner N, Bulley F, Warren N, Brennan E, Fergurson P, Wilson R, Whittingham H, Brown E, Khanijau R, Gandhi K, Morris S, Boulton A, Chandan N, Barthorpe A, Maamari R, Sandhu S, McCann M, Higgs L, Balian V, Reeder C, Diaper C, Sale T, Ali H, Archer C, Clarke A, Heskin J, Hurst P, Farmer J, O'Flynn L, Doan L, Shuker B, Stott G, Vithanage N, Hoban K, Nesargikar P, Kennedy H, Grossart C, Tan E, Roy C, Sim P, Leslie K, Sim D, Abul M, Cody N, Tay A, Woon E, Sng S, Mah J, Robson J, Shakweh E, Wing V, Mills H, Li M, Barrow T, Balaji S, Jordan H, Phillips C, Naveed H, Hirani S, Tai A, Ratnakumaran R, Sahathevan A, Shafi A, Seedat M, Weaver R, Batho A, Punj R, Selvachandran H, Bhatt N, Botchey S, Khonat Z, Brennan K, Morrison C, Devlin E, Linton A, Galloway E, McGarvie S, Ramsay N, McRobbie H, Whewell H, Dean W, Nelaj S, Eragat M, Mishra A, Kane T, Zuhair M, Wells M, Wilkinson D, Woodcock N, Sun E, Aziz N, Ghaffar MKA. Critical care usage after major gastrointestinal and liver surgery: a prospective, multicentre observational study. Br J Anaesth 2019; 122:42-50. [PMID: 30579405 DOI: 10.1016/j.bja.2018.07.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 07/19/2018] [Accepted: 07/23/2018] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Patient selection for critical care admission must balance patient safety with optimal resource allocation. This study aimed to determine the relationship between critical care admission, and postoperative mortality after abdominal surgery. METHODS This prespecified secondary analysis of a multicentre, prospective, observational study included consecutive patients enrolled in the DISCOVER study from UK and Republic of Ireland undergoing major gastrointestinal and liver surgery between October and December 2014. The primary outcome was 30-day mortality. Multivariate logistic regression was used to explore associations between critical care admission (planned and unplanned) and mortality, and inter-centre variation in critical care admission after emergency laparotomy. RESULTS Of 4529 patients included, 37.8% (n=1713) underwent planned critical care admissions from theatre. Some 3.1% (n=86/2816) admitted to ward-level care subsequently underwent unplanned critical care admission. Overall 30-day mortality was 2.9% (n=133/4519), and the risk-adjusted association between 30-day mortality and critical care admission was higher in unplanned [odds ratio (OR): 8.65, 95% confidence interval (CI): 3.51-19.97) than planned admissions (OR: 2.32, 95% CI: 1.43-3.85). Some 26.7% of patients (n=1210/4529) underwent emergency laparotomies. After adjustment, 49.3% (95% CI: 46.8-51.9%, P<0.001) were predicted to have planned critical care admissions, with 7% (n=10/145) of centres outside the 95% CI. CONCLUSIONS After risk adjustment, no 30-day survival benefit was identified for either planned or unplanned postoperative admissions to critical care within this cohort. This likely represents appropriate admission of the highest-risk patients. Planned admissions in selected, intermediate-risk patients may present a strategy to mitigate the risk of unplanned admission. Substantial inter-centre variation exists in planned critical care admissions after emergency laparotomies.
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Huynh-Tran VH, Gilbert H, David I. Genetic structured antedependence and random regression models applied to the longitudinal feed conversion ratio in growing Large White pigs. J Anim Sci 2018; 95:4752-4763. [PMID: 29293706 DOI: 10.2527/jas2017.1864] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The objective of the present study was to compare a random regression model, usually used in genetic analyses of longitudinal data, with the structured antedependence (SAD) model to study the longitudinal feed conversion ratio (FCR) in growing Large White pigs and to propose criteria for animal selection when used for genetic evaluation. The study was based on data from 11,790 weekly FCR measures collected on 1,186 Large White male growing pigs. Random regression (RR) using orthogonal polynomial Legendre and SAD models was used to estimate genetic parameters and predict FCR-based EBV for each of the 10 wk of the test. The results demonstrated that the best SAD model (1 order of antedependence of degree 2 and a polynomial of degree 2 for the innovation variance for the genetic and permanent environmental effects, i.e., 12 parameters) provided a better fit for the data than RR with a quadratic function for the genetic and permanent environmental effects (13 parameters), with Bayesian information criteria values of -10,060 and -9,838, respectively. Heritabilities with the SAD model were higher than those of RR over the first 7 wk of the test. Genetic correlations between weeks were higher than 0.68 for short intervals between weeks and decreased to 0.08 for the SAD model and -0.39 for RR for the longest intervals. These differences in genetic parameters showed that, contrary to the RR approach, the SAD model does not suffer from border effect problems and can handle genetic correlations that tend to 0. Summarized breeding values were proposed for each approach as linear combinations of the individual weekly EBV weighted by the coefficients of the first or second eigenvector computed from the genetic covariance matrix of the additive genetic effects. These summarized breeding values isolated EBV trajectories over time, capturing either the average general value or the slope of the trajectory. Finally, applying the SAD model over a reduced period of time suggested that similar selection choices would result from the use of the records from the first 8 wk of the test. To conclude, the SAD model performed well for the genetic evaluation of longitudinal phenotypes.
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Sun J, Li Y, Milbury C, Skoletsky J, Burns C, Yip W, Luo J, Dewal N, Johnson A, Gowen K, Tong J, He Y, He J, White J, Roels S, Tsuji A, Truesdell J, Peters E, Gilbert H, Wu C, Schleifman E, Barrett C, Thress K, Jenkins S, Elvin J, Otto G, Lipson D, Ross J, Miller V, Stephens P, Doherty M, Vietz C. P2.02-052 A Clinically-Validated Universal Companion Diagnostic Platform for Cancer Patient Care. J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2017.09.1230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Marsdin E, Ramsden C, Gilbert H. Pilot Study – 10,00 Step Challenge as a Tool for Pre-Habiliatation for Radical Cystectomy. Int J Surg 2017. [DOI: 10.1016/j.ijsu.2017.08.515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Rosé R, Gilbert H, Loyau T, Giorgi M, Billon Y, Riquet J, Renaudeau D, Gourdine JL. Interactions between sire family and production environment (temperate vs. tropical) on performance and thermoregulation responses in growing pigs. J Anim Sci 2017; 95:4738-4751. [PMID: 29293699 PMCID: PMC6292322 DOI: 10.2527/jas2017.1611] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 09/04/2017] [Indexed: 11/13/2022] Open
Abstract
The aim of this study was to evaluate the effect of 2 climatic environments (temperate [TEMP] vs. tropical humid [TROP]) on production and thermoregulation traits in growing pigs. A backcross design involving Large White (LW; heat sensitive) and Creole (CR; heat tolerant) pigs was studied. The same 10 F LW × CR boars were mated with related LW sows in each environment. A total of 1,298 backcross pigs ( = 634 pigs from 11 batches for the TEMP environment and = 664 pigs from 12 batches for the TROP environment) were phenotyped on BW (every 15 d from wk 11 to 23 of age), voluntary feed intake (ADFI, from wk 11 to 23), backfat thickness (BFT; at wk 19 and 23), skin temperature (ST; at wk 19 and 23), and rectal temperature (RT; at wk 19, 21, and 23). The feed conversion ratio was computed for the whole test period (11 to 23 wk). The calculation of the temperature-humidity index showed an average difference of 2.4°C between the TEMP and TROP environments. The ADG and ADFI were higher in the TEMP environment than in the TROP environment (834 vs. 754 g/d and 2.20 vs. 1.80 kg/d, respectively; < 0.001). Body temperatures were higher in the TROP environment than in the TEMP environment (35.9 vs. 34.8°C for ST and 39.5 vs. 39.3°C for RT, respectively; < 0.001). Most of the studied traits (i.e., BW, BFT, ADG, ADFI, and RT) were affected by sire family × environment interactions ( < 0.05), resulting in "robust" and "sensitive" families. Our results show a family dependency in the relationships between heat resistance and robustness, suggesting the possibility of finding genotypes with high production and low heat sensitivity. Further research is needed to confirm the genetic × environment interaction and to detect QTL related to heat tolerance.
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Affiliation(s)
- R. Rosé
- UR143 URZ, INRA, Petit-Bourg (Guadeloupe), France, F-97170
| | - H. Gilbert
- UMR1388 GenPhySE, INRA, Université de Toulouse, INP, ENSAT, ENVT, Castanet Tolosan, France, F-31326
| | - T. Loyau
- UR143 URZ, INRA, Petit-Bourg (Guadeloupe), France, F-97170
| | - M. Giorgi
- UE1294 PTEA, INRA, Petit-Bourg (Guadeloupe), France, F-97170
| | - Y. Billon
- UE1372 GenESI, INRA, Surgères, France, F-17700
| | - J. Riquet
- UR143 URZ, INRA, Petit-Bourg (Guadeloupe), France, F-97170
| | - D. Renaudeau
- UMR1348 PEGASE, INRA Agrocampus Ouest, St Gilles, France, F-35590
| | - J.-L. Gourdine
- UR143 URZ, INRA, Petit-Bourg (Guadeloupe), France, F-97170
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12
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Gilbert H, Billon Y, Brossard L, Faure J, Gatellier P, Gondret F, Labussière E, Lebret B, Lefaucheur L, Le Floch N, Louveau I, Merlot E, Meunier-Salaün MC, Montagne L, Mormede P, Renaudeau D, Riquet J, Rogel-Gaillard C, van Milgen J, Vincent A, Noblet J. Review: divergent selection for residual feed intake in the growing pig. Animal 2017; 11:1427-1439. [PMID: 28118862 PMCID: PMC5561440 DOI: 10.1017/s175173111600286x] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 12/13/2016] [Indexed: 12/22/2022] Open
Abstract
This review summarizes the results from the INRA (Institut National de la Recherche Agronomique) divergent selection experiment on residual feed intake (RFI) in growing Large White pigs during nine generations of selection. It discusses the remaining challenges and perspectives for the improvement of feed efficiency in growing pigs. The impacts on growing pigs raised under standard conditions and in alternative situations such as heat stress, inflammatory challenges or lactation have been studied. After nine generations of selection, the divergent selection for RFI led to highly significant (P<0.001) line differences for RFI (-165 g/day in the low RFI (LRFI) line compared with high RFI line) and daily feed intake (-270 g/day). Low responses were observed on growth rate (-12.8 g/day, P<0.05) and body composition (+0.9 mm backfat thickness, P=0.57; -2.64% lean meat content, P<0.001) with a marked response on feed conversion ratio (-0.32 kg feed/kg gain, P<0.001). Reduced ultimate pH and increased lightness of the meat (P<0.001) were observed in LRFI pigs with minor impact on the sensory quality of the meat. These changes in meat quality were associated with changes of the muscular energy metabolism. Reduced maintenance energy requirements (-10% after five generations of selection) and activity (-21% of time standing after six generations of selection) of LRFI pigs greatly contributed to the gain in energy efficiency. However, the impact of selection for RFI on the protein metabolism of the pig remains unclear. Digestibility of energy and nutrients was not affected by selection, neither for pigs fed conventional diets nor for pigs fed high-fibre diets. A significant improvement of digestive efficiency could likely be achieved by selecting pigs on fibre diets. No convincing genetic or blood biomarker has been identified for explaining the differences in RFI, suggesting that pigs have various ways to achieve an efficient use of feed. No deleterious impact of the selection on the sow reproduction performance was observed. The resource allocation theory states that low RFI may reduce the ability to cope with stressors, via the reduction of a buffer compartment dedicated to responses to stress. None of the experiments focussed on the response of pigs to stress or challenges could confirm this theory. Understanding the relationships between RFI and responses to stress and energy demanding processes, as such immunity and lactation, remains a major challenge for a better understanding of the underlying biological mechanisms of the trait and to reconcile the experimental results with the resource allocation theory.
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Affiliation(s)
- H. Gilbert
- GenPhySE, INRA, INP,
ENSAT, Université de Toulouse,
31326 Castanet-Tolosan, France
| | - Y. Billon
- GenESI, INRA, 17700
Surgères, France
| | - L. Brossard
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - J. Faure
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - P. Gatellier
- QuaPA, INRA, 63122 Saint
Genès-Champanelle, France
| | - F. Gondret
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - E. Labussière
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - B. Lebret
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - L. Lefaucheur
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - N. Le Floch
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - I. Louveau
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - E. Merlot
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | | | - L. Montagne
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - P. Mormede
- GenPhySE, INRA, INP,
ENSAT, Université de Toulouse,
31326 Castanet-Tolosan, France
| | - D. Renaudeau
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - J. Riquet
- GenPhySE, INRA, INP,
ENSAT, Université de Toulouse,
31326 Castanet-Tolosan, France
| | - C. Rogel-Gaillard
- GABI, INRA,
AgroParisTech, Université Paris-Saclay,
78350 Jouy-en-Josas Cedex, France
| | - J. van Milgen
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - A. Vincent
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - J. Noblet
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
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Gidenne T, Fortun-Lamothe L, Bannelier C, Molette C, Gilbert H, Chemit ML, Segura M, Benitez F, Richard F, Garreau H, Drouilhet L. Direct and correlated responses to selection in two lines of rabbits selected for feed efficiency under ad libitum and restricted feeding: III. Digestion and excretion of nitrogen and minerals. J Anim Sci 2017; 95:1301-1312. [PMID: 28380512 DOI: 10.2527/jas.2016.1192] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Two rabbit lines have been created to result in better feed efficiency: the ConsoResidual line was selected for a lower residual feed intake under ad libitum feeding, and the ADGrestrict line was selected for higher ADG under restricted feeding (-20% of ad libitum). The present study aimed to analyze the digestion and excretion of N and minerals from 29 to 63 d of age of these 2 lines compared with an unselected control line (G0) under 2 feeding levels (ad libitum or restricted). The ADGrestrict line had greater digestibility compared with G0 (+1.3% for OM and N; < 0.05), and the ConsoResidual line had intermediate values. There was no genetic line effect on the digestibility of N and P and on minerals concentrations (P, Zn, and Cu) in the feces and in the urine. The N balance was improved for the 2 selected lines (+5%; < 0.05), leading to a reduced N output through the feces (0.06 g/d compared with G0; < 0.001) and the urine (-0.07 g/d; < 0.05) and to an improved N retention ratio (+3% compared with G0). Over the whole fattening period (d 29-63), significant differences were observed among lines only when fed ad libitum, with 13% greater DM fecal output and 5% greater N fecal output for G0. The N excretion in urine was 2 g less in the 2 selected lines, leading to a reduction of total N release of 4.4 g (compared with G0). The P excretion in feces (12 g) or urine (0.1 g) did not differ among the 3 lines. Over the whole fattening period and for ad libitum-fed rabbits, the 5% improvement in feed efficiency ( < 0.01) for the 2 selected lines corresponded to 400 g less feed intake (-8%) and to 20 g less N intake. The fecal excretion of the ADGrestrict and ConsoResidual lines were reduced by 200 g DM ( < 0.01), corresponding to 417 g fresh matter and 5 g of N. The excretion in minerals (P, Zn, and Cu) was not affected by the line. The feeding level strongly reduced the fecal and urine outputs (-50 and -60%, respectively; < 0.001). Higher digestibility coefficients ( < 0.001) were found in restricted-fed rabbits for OM (+6%), N (+8%), and P (+11%). The N balance was substantially improved by the restriction, with 40% less total (feces + urine) N excretion ( < 0.001). The P balance was improved by the restriction (0.469 vs. 0.360). Over the fattening period, the P fecal output was 37% less (-6 g) with 24% less feed intake and the Zn and Cu outputs were reduced by 27 (-130 mg) and 29% (-30 mg), respectively.
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Louveau I, Vincent A, Tacher S, Gilbert H, Gondret F. Increased expressions of genes and proteins involved in mitochondrial oxidation and antioxidant pathway in adipose tissue of pigs selected for a low residual feed intake. J Anim Sci 2017; 94:5042-5054. [PMID: 28046150 DOI: 10.2527/jas.2016-0619] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Adipose tissue is a primary sensor for nutrient availability and regulates many functions including feed intake and energy homeostasis. This study was undertaken to determine the molecular responses of adipose tissue to differences in feed intake and feed efficiency. Subcutaneous adipose tissue was collected from two lines of pigs divergently selected for residual feed intake (RFI), a measure of feed efficiency defined as the difference between actual and expected feed intake, and from a subset of high-RFI pigs that were feed-restricted at the level of the voluntary feed intake of low-RFI pigs during the growing-finishing period. Transcriptomics analyses indicated that the number of genes that were differentially expressed ( < 0.01) between low- and high-RFI pigs ( = 8 per group at each stage) in adipose tissue was much lower when pigs were considered at 19 kg (postweaning) than at 115 kg BW (market weight). Extended investigations were performed at 115 kg BW to compare low-RFI ( = 8), high-RFI ( = 8), and feed-restricted high-RFI ( = 8) pigs. They included in silico pathway analyses of the differentially expressed (DE) genes ( < 0.01) and a complementary proteomic investigation to list adipose proteins with a differential abundance ( < 0.10). Only 23% of the DE genes were affected by both RFI and feed restriction. This indicates that the responses of adipose tissue to RFI difference shared only some common mechanisms with feed intake modulation, notably the regulation of cell cycle (including ) and transferase activity pathway. Two carboxylesterase genes (, ) involved in lipolysis, were among the most overexpressed genes in the low-RFI pigs; they were also affected by feed restriction within the high-RFI line. About 60% of the molecular changes between low- and high-RFI pigs were specific to genetic divergence in feed efficiency, independently of feed intake. Different genes and proteins known to be associated with mitochondrial oxidative metabolism were overexpressed in adipose tissue of low-RFI pigs compared with high-RFI pigs; other proteins participating in the generation of energy were also affected by feed restriction within the high-RFI line. Finally, mitochondrial antioxidant genes were upregulated in low-RFI pigs vs. high-RFI pigs. Altogether, increased oxidative and antioxidant processes in adipose tissue might be associated with improved feed efficiency.
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Tran VHH, Gilbert H, David I. How to improve breeding value prediction for feed conversion ratio in the case of incomplete longitudinal body weights. J Anim Sci 2017; 95:39-48. [PMID: 28177346 DOI: 10.2527/jas.2016.0980] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
With the development of automatic self-feeders, repeated measurements of feed intake are becoming easier in an increasing number of species. However, the corresponding BW are not always recorded, and these missing values complicate the longitudinal analysis of the feed conversion ratio (FCR). Our aim was to evaluate the impact of missing BW data on estimations of the genetic parameters of FCR and ways to improve the estimations. On the basis of the missing BW profile in French Large White pigs (male pigs weighed weekly, females and castrated males weighed monthly), we compared 2 different ways of predicting missing BW, 1 using a Gompertz model and 1 using a linear interpolation. For the first part of the study, we used 17,398 weekly records of BW and feed intake recorded over 16 consecutive weeks in 1,222 growing male pigs. We performed a simulation study on this data set to mimic missing BW values according to the pattern of weekly proportions of incomplete BW data in females and castrated males. The FCR was then computed for each week using observed data (obser_FCR), data with missing BW (miss_FCR), data with BW predicted using a Gompertz model (Gomp_FCR), and data with BW predicted by linear interpolation (interp_FCR). Heritability (h) was estimated, and the EBV was predicted for each repeated FCR using a random regression model. In the second part of the study, the full data set (males with their complete BW records, castrated males and females with missing BW) was analyzed using the same methods (miss_FCR, Gomp_FCR, and interp_FCR). Results of the simulation study showed that h were overestimated in the case of missing BW and that predicting BW using a linear interpolation provided a more accurate estimation of h and of EBV than a Gompertz model. Over 100 simulations, the correlation between obser_EBV and interp_EBV, Gomp_EBV, and miss_EBV was 0.93 ± 0.02, 0.91 ± 0.01, and 0.79 ± 0.04, respectively. The heritabilities obtained with the full data set were quite similar for miss_FCR, Gomp_FCR, and interp_FCR. In conclusion, when the proportion of missing BW is high, genetic parameters of FCR are not well estimated. In French Large White pigs, in the growing period extending from d 65 to 168, prediction of missing BW using a Gompertz growth model slightly improved the estimations, but the linear interpolation improved the estimation to a greater extent. This result is due to the linear rather than sigmoidal increase in BW over the study period.
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Scheerens H, Malong A, Bassett K, Boyd Z, Gupta V, Harris J, Mesick C, Simnett S, Stevens H, Gilbert H, Risser P, Kalamegham R, Jordan J, Engel J, Chen S, Essioux L, Williams JA. Current Status of Companion and Complementary Diagnostics: Strategic Considerations for Development and Launch. Clin Transl Sci 2017; 10:84-92. [PMID: 28121072 PMCID: PMC5355969 DOI: 10.1111/cts.12455] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 01/18/2017] [Indexed: 02/06/2023] Open
Abstract
US Food and Drug Administration (FDA)‐approved diagnostic assays play an increasingly common role in managing patients to prolong lifespan while also enhancing quality of life. Diagnostic assays can be essential for the safe and effective use of therapeutics (companion diagnostic), or may inform on improving the benefit/risk ratio without restricting drug access (complementary diagnostic). This tutorial reviews strategic considerations for drug and assay development resulting in FDA‐approved companion or complementary diagnostic status.
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Affiliation(s)
- H Scheerens
- Genentech Inc., San Francisco, California, USA
| | - A Malong
- Genentech Inc., San Francisco, California, USA
| | - K Bassett
- Genentech Inc., San Francisco, California, USA
| | - Z Boyd
- Genentech Inc., San Francisco, California, USA
| | - V Gupta
- Genentech Inc., San Francisco, California, USA
| | - J Harris
- Genentech Inc., San Francisco, California, USA
| | - C Mesick
- Genentech Inc., San Francisco, California, USA
| | - S Simnett
- Genentech Inc., San Francisco, California, USA
| | | | - H Gilbert
- Genentech Inc., San Francisco, California, USA
| | - P Risser
- Genentech Inc., San Francisco, California, USA
| | | | | | - J Engel
- Roche AG, Basel, Switzerland
| | - S Chen
- Roche AG, Basel, Switzerland
| | - L Essioux
- Pharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd, Basel, Switzerland
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Tran VHH, Gilbert H, David I. How to improve breeding value prediction for feed conversion ratio in the case of incomplete longitudinal body weights. J Anim Sci 2017. [DOI: 10.2527/jas2016.0980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Gidenne T, Fortun-Lamothe L, Bannelier C, Molette C, Gilbert H, Chemit ML, Segura M, Benitez F, Richard F, Garreau H, Drouilhet L. Direct and correlated responses to selection in two lines of rabbits selected for feed efficiency under ad libitum and restricted feeding: III. Digestion and excretion of nitrogen and minerals. J Anim Sci 2017. [DOI: 10.2527/jas2016.1192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Merlot E, Gilbert H, Le Floc'h N. Metabolic response to an inflammatory challenge in pigs divergently selected for residual feed intake. J Anim Sci 2016; 94:563-73. [PMID: 27065126 DOI: 10.2527/jas.2015-9445] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Selection for residual feed intake (RFI), which is used to select animals for feed efficiency, also influences nutrient partitioning between growth and maintenance functions. This study was designed to investigate if selection for reduced RFI can alter the trade-off between growth and immunity and contributes to differences in metabolic responses to an inflammatory challenge. Piglets from 2 lines divergently selected on RFI (low: RFI, = 10, and high: RFI, = 11) were challenged at 55 d of age (on d 0) with complete Freund's adjuvant (CFA) to induce a noninfectious pneumonia. Plasma haptoglobin and nutrient concentrations (in fasted state and 2 h after feeding) were determined from d -1 to d 7, and tissue protein metabolism was determined on d 8. Haptoglobin concentrations were greater from d 1 to d 7 relative to d -1 ( < 0.01). Feed intake was less on d 1 than on the other days ( < 0.001), as was total AA plasma concentrations at fasted state ( < 0.05). Fasted concentrations of His ( = 0.06) and Trp ( = 0.05) tended to be less, those of Val were less ( < 0.05), and fed concentrations of Lys were increased ( < 0.05) on d 7 compared to d -1. Uremia was less on d 7 than on d -1 at fasted state ( < 0.05), whereas it did not vary at fed state ( 0.1). Fasted glucose and insulin plasma concentrations were stable across days ( 0.1). In the fed state and in only RFI pigs, glucose concentration was greater on d 1 than on d 3, 5, and 7 ( < 0.05). Total AA, Gln, Ile, Leu, Pro ( < 0.05), and hydroxyproline ( = 0.07) were less in RFI than RFI pigs at fed state, whereas Ala and Gly were less in RFI pigs at fasted and fed states ( < 0.05). Citrulline ( < 0.05) and Met ( < 0.01) concentrations were greater in RFI than RFI pigs in the fasted state, whereas Asp was greater in RFI pigs in both fasted and fed states ( < 0.05). On d 8, liver and LM protein synthesis tended to be lower ( = 0.07 and 0.09, respectively) and liver calpain activity was greater ( = 0.07) in RFI than RFI pigs. Liver and LM proteasome did not differ between lines ( 0.1). The metabolic differences between lines were not associated with differences in feed intake, ADG between d -1 and d 8, and haptoglobin concentration ( 0.1). Thus, it seems that that, using different metabolic strategies, both lines coped similarly with the CFA challenge. Contrary to our hypothesis, this experiment showed, in young pigs, no advantage of RFI animals in response to an inflammatory challenge.
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Drouilhet L, Achard CS, Zemb O, Molette C, Gidenne T, Larzul C, Ruesche J, Tircazes A, Segura M, Bouchez T, Theau-Clément M, Joly T, Balmisse E, Garreau H, Gilbert H. Direct and correlated responses to selection in two lines of rabbits selected for feed efficiency under ad libitum and restricted feeding: I. Production traits and gut microbiota characteristics. J Anim Sci 2016; 94:38-48. [PMID: 26812310 DOI: 10.2527/jas.2015-9402] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
To get insights into selection criteria for feed efficiency, 2 rabbit lines have been created: the ConsoResidual line was selected for residual feed intake (RFI) with ad libitum feeding and the ADGrestrict line was selected for ADG under restricted feeding (-20% of voluntary intake). The first objective of this study was to evaluate, after 9 generations of selection, the direct and correlated responses to selection on production traits in the 2 lines for traits recorded during growth. Second, applying the 2 feeding conditions used for selection to both selected lines plus the control unselected line (generation 0, G0) in a 2 × 3 factorial trial, the line performances were compared and the gut microbiota of the lines was characterized. The correlated responses in feed conversion ratio (FCR) were remarkably equivalent in both selected lines (-2.74 genetic σ) but correlated responses in other traits were notably different. In the ConsoResidual line, selection for decreased RFI resulted in a small negative correlated response in BW at 63 d old (BW63) and in a null response in ADG. In the ADGrestrict line, on the contrary, the correlated response in BW63 was substantial (+1.59 σ). The 2 selected lines had a FCR reduced by 0.2 point compared with the G0 line, and the same difference was found in both feeding regimens ( < 0.001). Indeed, selection on ADG would lead to heavier animals with no significant reduction of feed costs, whereas selection on RFI leads to lower feed costs and no increase of animal BW under ad libitum feeding. Altogether, our results do not suggest any genotype × environment interaction in the response to feeding regimens. The intestinal microbial communities from efficient rabbits differed from their unselected counterparts in terms of fermentation end products and microbial phylotypes, suggesting a central role of these microbes in the better feed efficiency of the rabbits.
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Prunier A, Parois S, Le Floc'h N, Gilbert H. 1733 Sexual development and boar taint in male pigs selected for divergent residual feed intake. J Anim Sci 2016. [DOI: 10.2527/jam2016-1733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Abstract
Selection for disease resistance is a powerful way to improve the health status of herds and to reduce the use of antibiotics. The objectives of this study were to estimate 1) the genetic parameters for simple visually assessed disease syndromes and for a composite trait of resistance to infectious disease including all syndromes and 2) their genetic correlations with production traits in a rabbit population. Disease symptoms were recorded in the selection herds of 2 commercial paternal rabbit lines during weighing at the end of the test (63 and 70 d of age, respectively). Causes of mortality occurring before these dates were also recorded. Seven disease traits were analyzed: 3 elementary traits visually assessed by technicians on farm (diarrhea, various digestive syndromes, and respiratory syndromes), 2 composite traits (all digestive syndromes and all infectious syndromes), and 2 mortality traits (digestive mortality and infectious mortality). Each animal was assigned only 1 disease trait, corresponding to the main syndrome ( = 153,400). Four production traits were also recorded: live weight the day before the end of test on most animals ( = 137,860) and cold carcass weight, carcass yield, and perirenal fat percentage of the carcass on a subset of slaughtered animals ( = 13,765). Records on both lines were analyzed simultaneously using bivariate linear animal models after validation of consistency with threshold models applied to logit-transformed traits. The heritabilities were low for disease traits, from 0.01 ± 0.002 for various digestive syndromes to 0.04 ± 0.004 for infectious mortality, and moderate to high for production traits. The genetic correlations between digestive syndromes were high and positive, whereas digestive and respiratory syndromes were slightly negatively correlated. The genetic correlations between the composite infectious disease trait and digestive or respiratory syndromes were moderate. Genetic correlations between disease and production traits were favorable. Our results indicate that it is possible to select rabbits using visually assessed disease syndromes without the need for a trade-off between health and production traits. Using a composite criterion that includes all infectious syndromes is easy to implement and heritable and is, therefore, a promising way to improve the general disease resistance in livestock species.
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Drouilhet L, Monteville R, Molette C, Lague M, Cornuez A, Canario L, Ricard E, Gilbert H. Impact of selection for residual feed intake on production traits and behavior of mule ducks. Poult Sci 2016; 95:1999-2010. [PMID: 27333975 PMCID: PMC4983686 DOI: 10.3382/ps/pew185] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2016] [Indexed: 12/18/2022] Open
Abstract
A divergent selection experiment of Muscovy sires based on the residual feed intake (RFI) of their male mule progeny was initiated in 2009. Using electronic feeders, the aim of this study was to establish whether 3 generations of selection for RFI had an impact on feeding behavior traits and general behavior, and to examine its effect on liver and meat quality. Eighty mule ducks, issued from 8 Muscovy drakes per line with extreme RFI, were tested in a pen equipped with 4 electronic feeders. Feeding behaviors were recorded from 3 to 7 wk after hatching under ad libitum feeding conditions. Then animals were prepared for overfeeding with a 3-week period of restricted feeding, and overfed during 12 d before slaughter. The RFI was significantly lower in the low RFI line than in the high RFI line (−5.4 g/d, P = 0.0005) and daily feed intake was reduced both over the entire test period (−5 g/d, P = 0.049) and on a weekly basis (P = 0.006). Weekly and total feed conversion ratios were also significantly lower (−0.08, P = 0.03 and −0.06, P = 0.01, respectively). Low RFI ducks had more frequent meals, spent as much time eating as high RFI ducks, and their feeding rate was lower when analyzed at the wk level only. Additionally no significant correlation between feed efficiency and feeding behavior traits was evidenced, indicating only limited relationships between RFI and feeding patterns. Some differences in behavioral responses to stressors (open field test combined with a test measuring the response to human presence) suggested that a lower RFI is associated with less fearfulness. Selection for RFI had no effect on liver weight and quality and a slightly deleterious impact on meat quality (decreased drip loss and L*). Finally, low RFI animals had higher body weights after restricted feeding from wk 10 to wk 12 and after overfeeding than high RFI ducks. This suggests that selection for reduced RFI until 7 wk of age increases the feed efficiency up to slaughter.
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Affiliation(s)
- L Drouilhet
- GenPhySE, University of Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - R Monteville
- GenPhySE, University of Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - C Molette
- GenPhySE, University of Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - M Lague
- INRA, Duck experimental unit, UE89, Benquet, France
| | - A Cornuez
- INRA, Duck experimental unit, UE89, Benquet, France
| | - L Canario
- GenPhySE, University of Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - E Ricard
- GenPhySE, University of Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - H Gilbert
- GenPhySE, University of Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
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Vincent A, Louveau I, Gondret F, Tréfeu C, Gilbert H, Lefaucheur L. Divergent selection for residual feed intake affects the transcriptomic and proteomic profiles of pig skeletal muscle. J Anim Sci 2016; 93:2745-58. [PMID: 26115262 DOI: 10.2527/jas.2015-8928] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Improving feed efficiency is a relevant strategy to reduce feed cost and environmental waste in livestock production. Selection experiments on residual feed intake (RFI), a measure of feed efficiency, previously indicated that low RFI was associated with lower feed intake, similar growth rate, and greater lean meat content compared with high RFI. To gain insights into the molecular mechanisms underlying these differences, 24 Large White females from 2 lines divergently selected for RFI were examined. Pigs from a low-RFI ("efficient") and high-RFI ("inefficient") line were individually fed ad libitum from 67 d of age (27 kg BW) to slaughter at 115 kg BW (n = 8 per group). Additional pigs of the high-RFI line were feed restricted to the daily feed intake of the ad libitum low-RFI pigs (n = 8) to investigate the impact of selection independently of feed intake. Global gene and protein expression profiles were assessed in the LM collected at slaughter. The analyses involved a porcine commercial microarray and 2-dimensional gel electrophoresis. About 1,000 probes were differentially expressed (P < 0.01) between RFI lines. Only 10% of those probes were also affected by feed restriction. Gene functional classification indicated a greater expression of genes involved in protein synthesis and a lower expression of genes associated with mitochondrial energy metabolism in the low-RFI pigs compared with the high-RFI pigs. At the protein level, 11 unique identified proteins exhibited a differential abundance (P < 0.05) between RFI lines. Differentially expressed proteins were generally not significantly affected by feed restriction. Mitochondrial oxidative proteins such as aconitase hydratase, ATP synthase subunit α, and creatine kinase S-type had a lower abundance in the low-RFI pigs, whereas fructose-biphosphate aldolase A and glyceraldehyde-3-phosphate dehydrogenase, 2 proteins involved in glycolysis, had a greater abundance in those pigs compared with high-RFI pigs. Antioxidant proteins such as superoxide dismutase and glutathione peroxidase 3 at the mRNA level and peroxiredoxin-6 at the protein level were also less expressed in LM of the most efficient pigs, likely related to lower oxidative molecule production. Collectively, both the transcriptomic and proteomic approaches revealed a lower oxidative metabolism in muscle of the low-RFI pigs and all these modifications were largely independent of differences in feed intake.
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Abstract
With the development of automatic self-feeders and electronic identification, automated, repeated measurements of individual feed intake (FI) and BW are becoming available in more species. Consequently, genetic models for longitudinal data need to be applied to study FI or related traits. To handle this type of data, several flexible mixed-model approaches exist such as character process (CPr), structured antedependence (SAD), or random regression (RR) models. The objective of this study was to compare how these different approaches estimate both the covariance structure between successive measurements of FI and genetic parameters and their ability to predict future performances in 3 species (rabbits, ducks, and pigs). Results were consistent between species. It was found that the SAD and CPr models fit the data better than the RR models. Estimations of genetic and phenotypic correlation matrices were quite consistent between SAD and CPr models, whereas correlations estimated with the RR model were not. Structured antedependence and CPr models provided, as expected and in accordance with previous studies, a decrease of the correlations with the time interval between measurements. The changes in heritability with time showed the same trend for the SAD and RR models but not for the CPr model. Our results show that, in comparison with the CPr model, the SAD and RR models have the advantage of providing stable predictions of future phenotypes 1 wk forward whatever the number of observations used to estimate the parameters. Therefore, to study repeated measurements of FI, the SAD approach seems to be very appropriate in terms of genetic selection and real-time managements of animals.
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Molette C, Gilbert H, Larzul C, Balmisse E, Ruesche J, Manse H, Tircazes A, Theau-Clément M, Joly T, Gidenne T, Garreau H, Drouilhet L. Direct and correlated responses to selection in two lines of rabbits selected for feed efficiency under ad libitum and restricted feeding: II. Carcass and meat quality1. J Anim Sci 2016; 94:49-57. [DOI: 10.2527/jas.2015-9403] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Abstract
Pig breeding programs worldwide continue to focus on both productivity and robustness. This selection emphasis has to be accompanied by provision of better-quality environments to pigs to improve performance and to enhance health and welfare of pigs. Definition of broader breeding objectives that include robustness traits in addition to production traits is the first step in the development of selection strategies for productivity and robustness. An approach has been presented which facilitates extension of breeding objectives. Post-weaning survival, maternal genetic effects for growth as an indicator of health status and sow mature weight are examples of robustness traits. Further, breeding objectives should be defined for commercial environments and selection indexes should account for genotype by environment interactions (GxE). Average performances of groups of pigs have been used to quantify the additive effects of multiple environmental factors on performance of pigs. For growth, GxE existed when environments differed by 60 g/day between groups of pigs. This environmental variation was observed even on well managed farms. Selection for improved health of pigs should focus on disease resistance to indirectly reduce pathogen loads on farms and on disease resilience to improve the ability of pigs to cope with infection challenges. Traits defining disease resilience may be based on performance and immune measures, disease incidence or survival rates of pigs. Residual feed intake is a trait that quantifies feed efficiency. The responses of divergent selection lines for residual feed intake to various environmental challenges were often similar or even favourable for the more efficient, low residual feed intake line. These somewhat unexpected results highlight the need to gain a better understanding of the metabolic differences between more or less productive pigs. These physiological differences lead to interactions between the genetic potential of pigs for productivity and robustness and the prevalence of specific environmental conditions.
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Drouilhet L, Basso B, Bernadet MD, Cornuez A, Bodin L, David I, Gilbert H, Marie-Etancelin C. Improving residual feed intake of mule progeny of Muscovy ducks: Genetic parameters and responses to selection with emphasis on carcass composition and fatty liver quality1. J Anim Sci 2014; 92:4287-96. [DOI: 10.2527/jas.2014-8064] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- L. Drouilhet
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31076 Toulouse, France
| | - B. Basso
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31076 Toulouse, France
| | - M.-D. Bernadet
- INRA, UE89 Unité expérimentale sur les Palmipèdes à Foie Gras, Artiguères, F-40280 Benquet, France
| | - A. Cornuez
- INRA, UE89 Unité expérimentale sur les Palmipèdes à Foie Gras, Artiguères, F-40280 Benquet, France
| | - L. Bodin
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31076 Toulouse, France
| | - I. David
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31076 Toulouse, France
| | - H. Gilbert
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31076 Toulouse, France
| | - C. Marie-Etancelin
- INRA, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31326 Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d'Elevage, F-31076 Toulouse, France
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Gondret F, Louveau I, Mourot J, Duclos MJ, Lagarrigue S, Gilbert H, van Milgen J. Dietary energy sources affect the partition of body lipids and the hierarchy of energy metabolic pathways in growing pigs differing in feed efficiency. J Anim Sci 2014; 92:4865-77. [PMID: 25253805 DOI: 10.2527/jas.2014-7995] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The use and partition of feed energy are key elements in productive efficiency of pigs. This study aimed to determine whether dietary energy sources affect the partition of body lipids and tissue biochemical pathways of energy use between pigs differing in feed efficiency. Forty-eight barrows (pure Large White) from two divergent lines selected for residual feed intake (RFI), a measure of feed efficiency, were compared. From 74 d to 132 ± 0.5 d of age, pigs (n = 12 by line and by diet) were offered diets with equal protein and ME contents. A low fat, low fiber diet (LF) based on cereals and a high fat, high fiber diet (HF) where vegetal oils and wheat straw were used to partially substitute cereals, were compared. Irrespective of diet, gain to feed was 10% better (P < 0.001), and carcass yield was greater (+2.3%; P < 0.001) in the low RFI compared with the high RFI line; the most-efficient line was also leaner (+3.2% for loin proportion in the carcass, P < 0.001). In both lines, ADFI and ADG were lower when pigs were fed the HF diet (-12.3% and -15%, respectively, relatively to LF diet; P < 0.001). Feeding the HF diet reduced the perirenal fat weight and backfat proportion in the carcass to the same extent in both lines (-27% on average; P < 0.05). Lipid contents in backfat and LM also declined (-5% and -19%, respectively; P < 0.05) in pigs offered the HF diet. The proportion of saturated fatty acids (FA) was lower, but the percentage of PUFA, especially the EFA C18:2 and C18:3, was greater (P < 0.001) in backfat of HF-fed pigs. In both lines, these changes were associated with a marked decrease (P < 0.001) in the activities of two lipogenic enzymes, the fatty acid synthase (FASN) and the malic enzyme, in backfat. For the high RFI line, the hepatic lipid content was greater (P < 0.05) in pigs fed the HF diet than in pigs fed the LF diet, despite a reduced FASN activity (-32%; P < 0.001). In both lines, the HF diet also led to lower glycogen content (-70%) and lower glucokinase activity (-15%; P < 0.05) in the liver. These results show that dietary energy sources modified the partition of energy between liver, adipose tissue, and muscle in a way that was partly dependent of the genetics for feed efficiency, and changed the activity levels of biochemical pathways involved in lipid and glucose storage in tissues.
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Affiliation(s)
- F Gondret
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France Agrocampus-Ouest, UMR1348 Pegase, F-35000 Rennes, France
| | - I Louveau
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France Agrocampus-Ouest, UMR1348 Pegase, F-35000 Rennes, France
| | - J Mourot
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France Agrocampus-Ouest, UMR1348 Pegase, F-35000 Rennes, France
| | - M J Duclos
- INRA, UR83 Recherches Avicoles, F-37380 Nouzilly, France
| | - S Lagarrigue
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France Agrocampus-Ouest, UMR1348 Pegase, F-35000 Rennes, France
| | - H Gilbert
- INRA, UMR1388 GenPhySE, F-31326 Castanet-Tolosan cedex, France
| | - J van Milgen
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France Agrocampus-Ouest, UMR1348 Pegase, F-35000 Rennes, France
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Renaudeau D, Gourdine JL, Fleury J, Ferchaud S, Billon Y, Noblet J, Gilbert H. Selection for residual feed intake in growing pigs: effects on sow performance in a tropical climate. J Anim Sci 2014; 92:3568-79. [PMID: 24987064 DOI: 10.2527/jas.2014-7711] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The aim of the study was to evaluate the consequences of a divergent selection for residual feed intake (RFI) during growth in a temperate environment (TEMP) on sow performance in a tropical environment (TROP). Sows came from a selection experiment conducted at INRA in which 2 lines were selected for larger (RFI(+)) or smaller (RFI(─)) feed intake than predicted from performance. In the first analysis, a subsample of data obtained in TROP conditions (49 lactations) was compared to those obtained in TEMP on their sibs mated with the same boars (54 lactations). In the second analysis, data obtained in the TROP environment (82 lactations) were analyzed for testing the effect of season (warm vs. hot) and line on sow performance. Except for the lactation length, the interaction between line and climatic environment was not significant for the others traits (P > 0.05). The ADFI expressed per kilogram of litter BW gain tended to be higher in the RFI(+) line bred in the TROP environment (P = 0.080), together with piglet BW at weaning, which tended to be lower (P = 0.080). The ADFI was lower in TROP than in TEMP (4.56 vs. 5.86 kg/d; P = 0.003), with negative consequence on litter BW gain and maternal BW loss. The RFI(-) sows tended to eat less feed than RFI(+) sows during lactation (4.55 vs. 5.86 kg/d; P = 0.099). Litter BW at weaning was higher in the RFI(─) line. The RFI(─) sows ate significantly less feed to produce 1 kg of litter than the RFI(+) sows and tended to lose a larger amount of BW during lactation than the RFI(+) sows (2.40 vs. 3.02 kg/kg and -0.66 vs. -0.39 kg/d, respectively, P < 0.10). Whatever the line, ADFI was reduced by about 21% in the hot season (P < 0.05). Litter BW gain was depressed (P < 0.05) in the hot season (1.72 vs. 2.08 kg/d in the warm season; P = 0.023). Lactation maternal BW loss tended to increase in the hot season (1.10 vs. 0.71 kg/d in the warm season; P = 0.016), but back fat loss remained constant (P = 0.295). In the TROP environment, the amount of feed required to produce 1 kg of litter was not influenced by the line in the warm season (2.53 kg/kg on average; P = 0.99), but it tended to be lower in the RFI(─) line when compared to the RFI(+) line in the hot season (2.06 vs. 3.45 kg/kg; P = 0.050). This higher apparent efficiency in RFI(─) sows was mainly related to greater maternal body reserve mobilization (i.e., BW and back fat losses). In conclusion, selection for low RFI during growth in a TEMP environment did not impair sow and litter performance in tropical conditions.
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Affiliation(s)
- D Renaudeau
- INRA, UR143, Unité de Recherches Zootechniques (URZ), F-97170 Petit Bourg, France INRA, UMR1348, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage (PEGASE), F-35590 Rennes, France
| | - J L Gourdine
- INRA, UR143, Unité de Recherches Zootechniques (URZ), F-97170 Petit Bourg, France
| | - J Fleury
- INRA, UE1294, Plateforme Tropicale Expérimentale Animale (PTEA) F-97170 Petit Bourg, France
| | - S Ferchaud
- INRA, UE1372, Génétique, Expérimentation et Systèmes Innovants (GenESI), F-17700 Surgères, France
| | - Y Billon
- INRA, UE1372, Génétique, Expérimentation et Systèmes Innovants (GenESI), F-17700 Surgères, France
| | - J Noblet
- INRA, UMR1348, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage (PEGASE), F-35590 Rennes, France
| | - H Gilbert
- INRA, UMR1388, Génétique, Physiologie et Systèmes d'Elevage (GenPhySE), F-31326 Toulouse, France INRA, UMR1313, Génétique Animale et Biologie Intégrative (GABI), F-78352 Jouy-en-Josas, France
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Montagne L, Loisel F, Le Naou T, Gondret F, Gilbert H, Le Gall M. Difference in short-term responses to a high-fiber diet in pigs divergently selected for residual feed intake1. J Anim Sci 2014; 92:1512-23. [DOI: 10.2527/jas.2013-6623] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- L. Montagne
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France
- Agrocampus Ouest, UMR1348 Pegase, F-35000 Rennes, France
- Université européenne de Bretagne, France
| | - F. Loisel
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France
- Agrocampus Ouest, UMR1348 Pegase, F-35000 Rennes, France
| | - T. Le Naou
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France
- Agrocampus Ouest, UMR1348 Pegase, F-35000 Rennes, France
| | - F. Gondret
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France
- Agrocampus Ouest, UMR1348 Pegase, F-35000 Rennes, France
| | - H. Gilbert
- INRA, UMR1313 GABI, F-78352 Jouy-en-Josas Cedex, France
- INRA, UMR444 LGC, F-31326 Castanet-Tolosan Cedex, France
| | - M. Le Gall
- INRA, UMR1348 Pegase, F-35590 Saint-Gilles, France
- Agrocampus Ouest, UMR1348 Pegase, F-35000 Rennes, France
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Drouilhet L, Gilbert H, Balmisse E, Ruesche J, Tircazes A, Larzul C, Garreau H. Genetic parameters for two selection criteria for feed efficiency in rabbits1. J Anim Sci 2013; 91:3121-8. [DOI: 10.2527/jas.2012-6176] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- L. Drouilhet
- INRA, UR 631 SAGA, Auzeville, F-31326, Castanet-Tolosan, France
| | - H. Gilbert
- INRA, UMR 444 LGC Auzeville, F-31326, Castanet-Tolosan, France
| | - E. Balmisse
- INRA, UE 1322 PECTOUL PEA Cunicole Toulousain, Auzeville, F-31326, Castanet-Tolosan, France
| | - J. Ruesche
- INRA, UR 631 SAGA, Auzeville, F-31326, Castanet-Tolosan, France
| | - A. Tircazes
- INRA, UR 631 SAGA, Auzeville, F-31326, Castanet-Tolosan, France
| | - C. Larzul
- INRA, UMR 1313 GABI, F-78352, Jouy-En-Josas, France
| | - H. Garreau
- INRA, UR 631 SAGA, Auzeville, F-31326, Castanet-Tolosan, France
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Hopkins JC, Wood JJ, Gilbert H, Wheeler JMD, Borley N. Trans-anal rectoscopic ball diathermy (TARD) for radiotherapy-induced haemorrhagic telangiectasia: a safe and effective treatment. Colorectal Dis 2013; 15:566-8. [PMID: 23320526 DOI: 10.1111/codi.12107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2012] [Accepted: 08/15/2012] [Indexed: 02/08/2023]
Abstract
AIM Rectal bleeding may occur late after radiotherapy for prostate or bladder cancer, particularly when given by external beam, due to radiotherapy-induced haemorrhagic telangiectasia (RIHT). We present the results of trans-anal rectoscopic ball diathermy (TARD) for RIHT. METHOD Data were collected from patients who received TARD for RIHT. The diagnosis was made during endoscopic examination. Treatment involved discretely spaced spot monopolar diathermy coagulation of the rectal mucosa to the affected areas. RESULTS Thirteen patients [median age 76 (69-80) years] underwent TARD for RIHT between 2005 and 2008. All presented late with rectal bleeding following radiotherapy for prostate or bladder cancer. Eight were treated as a day case, four remained in hospital for one night and one was hospitalized for 2 days. There was no mortality. Eleven patients achieved excellent symptomatic control requiring no further treatment at a median follow-up of 20 (3-36) months. One patient underwent further TARD for recurrence. One patient complained of severe anorectal pain of no obvious cause and one developed constipation. CONCLUSION Trans-anal rectoscopic ball diathermy (TARD) is a safe and effective treatment for patients with rectal bleeding due to RIHT.
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Affiliation(s)
- J C Hopkins
- Department of Colorectal Surgery, Cheltenham General Hospital, Cheltenham, UK.
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Saintilan R, Mérour I, Brossard L, Tribout T, Dourmad JY, Sellier P, Bidanel J, van Milgen J, Gilbert H. Genetics of residual feed intake in growing pigs: Relationships with production traits, and nitrogen and phosphorus excretion traits. J Anim Sci 2013; 91:2542-54. [PMID: 23482579 DOI: 10.2527/jas.2012-5687] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Residual feed intake (RFI) is defined as the difference between the observed ADFI and the ADFI predicted from production and maintenance requirements. The objectives of this study were to evaluate RFI as a selection criterion to improve feed efficiency and its potential to reduce N and P excretion in 4 pig breeds. Data were collected between 2000 and 2009 in French central test stations for 2 dam breeds [French Landrace (LR) and Large White (LWD)], and 2 sire breeds [Large White (LWS) and Piétrain (PP)]. Numbers of recorded pigs were 6407, 10,694, 2342, and 2448 for the LR, LWD, LWS, and PP breeds, respectively. All PP animals were genotyped for the halothane mutation. This data set was used to calculate RFI equations for each of the 4 breeds, and to estimate genetic parameters for RFI together with growth, carcass, and meat quality traits, and N and P excretion during the test period (35 to 110 kg BW). The RFI explained 20.1% in PP, 26.5% in LWS, 27.6% in LWD, and 29.5% in LR of the phenotypic variability of ADFI. The PP breed differed from the others in this respect, probably due to a lower impact of the variation of body composition on ADFI. Heritability estimates of RFI ranged from 0.21 ± 0.03 (LWD) to 0.33 ± 0.06 (PP) depending on the breed. Heritabilities of N and P excretion traits ranged from 0.29 ± 0.06 to 0.40 ± 0.06. The RFI showed positive genetic correlations with feed conversion ratio (FCR) and excretion traits, these correlations being greater in the sire breeds (from 0.57 to 0.86) than in the dam breeds (from 0.38 to 0.53). Compared with FCR, RFI had weaker genetic correlations with carcass composition, growth rate, and excretion traits. Estimates of genetic correlations between FCR and excretion traits were very close to 1 for all breeds. Finally, excretion traits were, at the genetic level, correlated positively with ADFI, negatively with growth rate and carcass leanness, whereas the halothane n mutation in PP was shown to reduce N and P excretion levels. To conclude, new selection indexes including RFI can be envisaged to efficiently disentangle the responses to selection on growth rate and body composition from those on feed efficiency, with favorable impacts on N and P excretions, particularly in sire pig breeds. However, the switch from FCR to RFI in selection indexes should not resolve the genetic antagonism between feed efficiency and meat quality.
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Affiliation(s)
- R Saintilan
- INRA, UMR1313, GABI, F-78352 Jouy-en-Josas Cedex, France.
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Renaudeau D, Frances G, Dubois S, Gilbert H, Noblet J. Effect of thermal heat stress on energy utilization in two lines of pigs divergently selected for residual feed intake. J Anim Sci 2013; 91:1162-75. [PMID: 23296816 DOI: 10.2527/jas.2012-5689] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Castrated males from 2 lines of purebred French Large White obtained from a divergent selection experiment for their residual feed intake (RFI) over 7 generations were measured for their energy utilization during thermal acclimation to increased ambient temperature. The RFI(+) line consumed more feed than predicted from its performance, whereas the RFI- line consumed less feed. Each pig was exposed to 24°C for 7 d (P0) and thereafter to a constant temperature of 32°C for 3 consecutive periods of 7 d (P1, P2, P3). Feed intake, feeding behavior parameters, digestibility, components of heat production (HP; measured by indirect calorimetry in respiration chambers), and energy, nitrogen, fat, and water balance were measured in pigs offered feed and water ad libitum and individually housed in respiratory chambers. Two identical respiratory chambers were simultaneously used, and 5 pigs of each line were measured successively. Whatever the trait, the interaction between line and period was not significant (P > 0.10). On average, ADFI was greater in the RFI+ than in the RFI- line (1,945 vs. 1,639 g/d; P = 0.051) in relation to an increase of the mean size of each feeding bout (128 vs. 82 g/visit; P < 0.001). There was no line effect on nutrient and energy digestibility. Total HP tended to be greater in RFI+ than in RFI- lines (1,279 vs. 1,137 kJ·kg BW-0.60·d-1; P = 0.065), which tended to retain more energy (968 vs. 798 kJ·kg BW-0.60·d-1; P = 0.050). The sensible heat loss was greater in RFI+ compared with the RFI- line (644 vs. 560 kJ·kg BW-0.60·d-1; P = 0.020). The RFI+ pigs consumed more water (+981 vs. 657 g·kg BW-0.60·d-1; P = 0.085) and produced more urine (589 vs. 292 g·kg BW-0.60·d-1; P < 0.001) than RFI- pigs, whereas water evaporation was similar for both lines. On average, ME intake and HP declined by about 38% and 20%, respectively, from P0 to P1 (P < 0.001). In contrast to ME intake, HP gradually decreased (P < 0.05) from P1 to P3 in connection with a reduction of the activity related HP. The evaporative heat loss represented 30% on the total heat loss on P0, and this proportion significantly increased on P1 (61%; P < 0.001) and remained constant thereafter. In conclusion, our results suggest that thermal heat acclimation in pigs is mainly related to a biphasic reduction of HP rather than a change in the ability of losing heat, and it did not significantly differ between RFI+ and RFI- lines despite a decreased HP in the latter ones.
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Affiliation(s)
- D Renaudeau
- INRA, UR143, Unité de Recherches Zootechniques, F-97170 Petit Bourg, France
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Ytournel F, Teyssèdre S, Roldan D, Erbe M, Simianer H, Boichard D, Gilbert H, Druet T, Legarra A. LDSO: a program to simulate pedigrees and molecular information under various evolutionary forces. J Anim Breed Genet 2012; 129:417-21. [PMID: 22963363 DOI: 10.1111/j.1439-0388.2011.00986.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Simulations are a major tool to evaluate new statistical methods and optimize experimental designs in the genomic era. However, this can only be achieved when the simulations are close enough to reality, as well as diverse enough to be realistic. For mapping studies, it is thus critical to re-create as much as possible the forces generating linkage (mutation, random drift, changes in population sizes, selection and pedigree structure) and the mechanisms producing trait genetic architecture (additivity, dominance, epistasis). We present here a computer program (ldso) simulating these phenomena. Optional outputs provide statistics on the linkage disequilibrium (LD) structure and the identity by descent between chromosomal segments, facilitating further data analyses. Furthermore, ldso enables the simulation of genomic data in known pedigrees, which sticks as precisely as possible to recent population history and structures of the long-range LD, allowing optimization of fine-mapping strategies.
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Affiliation(s)
- F Ytournel
- INRA, Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France.
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Le Naou T, Le Floc'h N, Louveau I, Gilbert H, Gondret F. Metabolic changes and tissue responses to selection on residual feed intake in growing pigs. J Anim Sci 2012; 90:4771-80. [PMID: 22871936 DOI: 10.2527/jas.2012-5226] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Previous selection experiments using residual feed intake (RFI) to select pigs with a high feed efficiency have reported that a low RFI was associated with a reduced body fat content and a greater muscle glycogen content. In the current study, growing Large White female piglets from 2 lines divergently selected for RFI were used to determine the changes in energy and protein metabolisms in key tissues and their cross talks in response to selection. Pigs of low RFI (RFI(-); n = 26) or high RFI (RFI(+); n = 36) selection lines were offered free access to feed during postweaning and growing periods. Pigs of each line were then slaughtered at 19 kg (n = 8 per line) or 115 kg BW (n = 14 to 18 per line). A third group of pigs of the RFI(+) line was offered feed at the same level per metabolic BW (BW0.60) as RFI- pigs (group RFI+R, n = 14). Regardless of the growth period considered, G:F was less in RFI(+) pigs than in RFI(-) pigs. At 19 kg BW, RFI(+) and RFI(-) pigs had a similar body composition and tissue lipid content. The fractional rate of protein synthesis and proteasome activity were decreased (P < 0.090) in the livers of RFI(+) pigs compared with RFI(-) pigs whereas activities of energy catabolic enzymes did not differ in the liver and LM samples. Plasma insulin was conversely greater (P = 0.049) in RFI(+) pigs at this stage. At 115 kg BW, enzyme activities of protein catabolism in the liver and in the LM did not differ (P > 0.10) between RFI(+) pigs and RFI(-) pigs. Both lactate dehydrogenase activity participating in glucose metabolism and hydroxylacylCoA dehydrogenase activity involved in fatty acid oxidation were greater (P < 0.05) in the liver and LM of RFI(+) pigs compared with RFI(-) pigs. In the liver, contrary to the LM, those differences in enzyme activities were directly associated with selection on RFI regardless of ADFI. Increased backfat depth and content and greater lipid content and adipocyte hypertrophy (P < 0.05) in subcutaneous adipose tissue were reported in RFI(+) pigs compared with RFI(-) pigs at 115 kg BW without marked changes in key lipogenic enzyme activities; these changes were directly associated with ADFI. In conclusion, the present study shows an increase of catabolic pathway activities in the liver and muscle of RFI(+) pigs at market weight that is likely to generate more ATP compared with RFI(-) pigs.
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Affiliation(s)
- T Le Naou
- INRA, UMR1348 PEGASE, F-35590 Saint-Gilles, France
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Faure J, Lefaucheur L, Bonhomme N, Ecolan P, Meteau K, Coustard SM, Kouba M, Gilbert H, Lebret B. Consequences of divergent selection for residual feed intake in pigs on muscle energy metabolism and meat quality. Meat Sci 2012; 93:37-45. [PMID: 22910803 DOI: 10.1016/j.meatsci.2012.07.006] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2012] [Revised: 06/25/2012] [Accepted: 07/03/2012] [Indexed: 02/07/2023]
Abstract
Selection to decrease Residual Feed Intake (RFI) is a relevant way to improve feed efficiency in growing pigs. However, RFI criterion is correlated with body composition and muscle characteristics. Present study evaluated adaptive responses to divergent selection on RFI on muscle metabolism and homeostasis through AMP-activated protein kinase pathway. Consequences on technological and sensory meat quality were also analyzed in two lines of Large White pigs after six generations of divergent selection on RFI. RFI(-) pigs (n=60) exhibited similar growth rate but lower feed intake and conversion ratio, and were leaner than RFI(+) pigs (n=57). Despite higher glycogen content, metabolic enzyme capacities involved in glycolytic, fatty acid oxidation pathway and energy balance were reduced in the Longissimus muscle of the RFI(-) pigs. Reduced muscle homeostasis in the RFI(-) line influenced post-mortem metabolism and impaired technological quality traits of loin and ham but had only slight effects on meat eating quality.
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Affiliation(s)
- J Faure
- INRA, UMR1348 Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage, F-35590 Saint-Gilles, France.
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Gilbert H, Bidanel JP, Billon Y, Lagant H, Guillouet P, Sellier P, Noblet J, Hermesch S. Correlated responses in sow appetite, residual feed intake, body composition, and reproduction after divergent selection for residual feed intake in the growing pig. J Anim Sci 2011; 90:1097-108. [PMID: 22100596 DOI: 10.2527/jas.2011-4515] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Residual feed intake (RFI) has been explored as an alternative selection criterion to feed conversion ratio to capture the fraction of feed intake not explained by expected production and maintenance requirements. Selection experiments have found that low RFI in the growing pig is genetically correlated with reduced fatness and feed intake. Selection for feed conversion ratio also reduces sow appetite and fatness, which, together with increased prolificacy, has been seen as a hindrance for sow lifetime performance. The aims of our study were to derive equations for sow RFI during lactation (SRFI) and to evaluate the effect of selection for RFI during growth on sow traits during lactation. Data were obtained on 2 divergent lines selected for 7 generations for low and high RFI during growth in purebred Large Whites. The RFI was measured on candidates for selection (1,065 pigs), and sow performance data were available for 480 sows having from 1 to 3 parities (1,071 parities). Traits measured were sow daily feed intake (SDFI); sow BW and body composition before farrowing and at weaning (28.4 ± 1.7d); number of piglets born total, born alive, and surviving at weaning; and litter weight, average piglet BW, and within-litter SD of piglet BW at birth, 21 d of age (when creep feeding was available), and weaning. Sow RFI was defined as the difference between observed SDFI and SDFI predicted for sow maintenance and production. Daily production requirements were quantified by litter size and daily litter BW gain as well as daily changes in sow body reserves. The SRFI represented 24% of the phenotypic variability of SDFI. Heritability estimates for RFI and SRFI were both 0.14. The genetic correlation between RFI and SRFI was 0.29 ± 0.23. Genetic correlations of RFI with sow traits were low to moderate, consistent with responses to selection; selection for low RFI during growth reduced SDFI and increased number of piglets and litter growth, but also increased mobilization of body reserves. No effect on rebreeding performance was found. Metabolic changes previously observed during growth in response to selection might explain part of the better efficiency of the low-RFI sows, decreasing basal metabolism and favoring rapid allocation of resources to lactation. We propose to consider SRFI as an alternative to SDFI to select for efficient sows with reduced input demands during lactation.
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Affiliation(s)
- H Gilbert
- INRA, UMR1313 GABI, F-78350 Jouy-en-Josas, France.
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Saintilan R, Sellier P, Billon Y, Gilbert H. Genetic correlations between males, females and castrates for residual feed intake, feed conversion ratio, growth rate and carcass composition traits in Large White growing pigs. J Anim Breed Genet 2011; 129:103-6. [DOI: 10.1111/j.1439-0388.2011.00972.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Rosendo A, Iannuccelli N, Gilbert H, Riquet J, Billon Y, Amigues Y, Milan D, Bidanel JP. Microsatellite mapping of quantitative trait loci affecting female reproductive tract characteristics in Meishan x Large White F(2) pigs. J Anim Sci 2011; 90:37-44. [PMID: 21948608 DOI: 10.2527/jas.2011-3989] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
A QTL analysis of female reproductive data from a 3-generation experimental cross between Meishan and Large White pig breeds is presented. Six F(1) boars and 23 F(1) sows, progeny of 6 Large White boars and 6 Meishan sows, produced 502 F(2) gilts whose reproductive tract was collected after slaughter at 30 d of gestation. Five traits [i.e., the total weight of the reproductive tract, of the empty uterine horns, of the ovaries (WOV), and of the embryos], as well as the length of uterine horns (LUH), were measured and analyzed with and without adjustment for litter size. Animals were genotyped for a total of 137 markers covering the entire porcine genome. Analyses were carried out based on interval mapping methods, using a line-cross regression and a half-full sib maximum likelihood test. A total of 18 genome-wide significant (P < 0.05) QTL were detected on 9 different chromosomes (i.e., SSC 1, 5, 6, 7, 9, 12, 13, 18, and X). Five genome-wide significant QTL were detected for LUH, 4 for weight of the empty uterine horns and WOV, 2 for total weight of the reproductive tract, and 1 for weight of the embryos. Twenty-two additional suggestive QTL were also detected. The largest effects were obtained for LUH and WOV on SSC13 (9.2 and 7.0% of trait phenotypic variance, respectively). Meishan alleles had both positive (e.g., on SSC7) and negative effects (e.g., on SSC13) on the traits investigated. Moreover, the QTL were generally not fixed in founder breeds, and opposite effects were in some cases obtained in different families. Although reproductive tract characteristics had only a moderate correlation with reproductive performances, most of the major QTL detected in this study were previously reported as affecting female reproduction, generally with reduced significance levels. This study thus shows that focusing on traits with high heritability might help to detect loci involved in low heritability major traits for breeding.
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Affiliation(s)
- A Rosendo
- INRA, UMR1313 Génétique Animale et Biologie Intégrative F-78350 Jouy-en-Josas, France
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Lefaucheur L, Lebret B, Ecolan P, Louveau I, Damon M, Prunier A, Billon Y, Sellier P, Gilbert H. Muscle characteristics and meat quality traits are affected by divergent selection on residual feed intake in pigs. J Anim Sci 2010; 89:996-1010. [PMID: 21148787 DOI: 10.2527/jas.2010-3493] [Citation(s) in RCA: 78] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Residual feed intake (RFI) is defined as the difference between the observed feed intake and that expected based on requirements for maintenance and production. A divergent selection was conducted during 4 generations in Large White male pigs to produce low and high RFI lines. The present study aims at determining the influence of this selection on biochemical and histological traits of skeletal muscle, and relating these changes to correlated effects on growth, carcass composition, and meat quality traits. At 8 d preslaughter, biopsies from the LM were taken in the fed state on 14 females from each RFI line fed ad libitum. Animals were slaughtered at 107.8 ± 8.0 kg of BW without any previous fasting. Samples of LM, semimembranosus (SM), biceps femoris (BFM), and rhomboideus muscles were taken at both 30 min and 24 h postmortem. Myofiber typing was only assessed in LM. Low RFI pigs ("efficient") had leaner carcasses with greater muscle content (P < 0.001), less backfat thickness (P < 0.001), and less intramuscular fat content in all 4 muscles (P < 0.01 to P = 0.04). Their greater muscle content was associated with hypertrophy of all fast-twitch fibers. Glycogen content in all glycolytic muscles (i.e., LM, SM and BFM), was greater in low than high RFI pigs. The greater accumulation of glycogen in LM of low RFI pigs was specifically located in the fast-twitch glycolytic IIBW fibers, which correspond to fibers containing IIb, IIb + IIx, or IIx myosin heavy chains. The difference in muscle glycogen content between RFI line pigs was more significant in the living animals (P = 0.0003) than at 30 min postmortem (P = 0.08). This was associated with a decreased ultimate pH (P = 0.001), and greater lightness of color (P = 0.002) and drip loss (P = 0.04) in LM of low than high RFI line pigs, suggesting that selection for reduced RFI may impair some meat quality traits, such as water-holding capacity. Pigs from the low RFI line exhibited a greater (P = 0.02) percentage of IIBW fibers in LM and tended (P < 0.10) to have less lipid β-oxidative capacity in LM, SM, and BFM. In contrast, no difference (P > 0.10) between lines was found for citrate synthase and lactate dehydrogenase activities, mitochondrial activity, and expression of genes coding for uncoupling proteins 2 and 3. Differences between RFI pigs in plasma leptin, cortisol, and thyroid hormone concentrations are presented and discussed. In conclusion, selection for low RFI influenced muscle properties in a way favoring muscle mass, but likely impairing meat quality.
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Affiliation(s)
- L Lefaucheur
- INRA, UMR1079 Systèmes d'Elevage, Nutrition Animale et Humaine, F-35590 Saint-Gilles, France.
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Barea R, Dubois S, Gilbert H, Sellier P, van Milgen J, Noblet J. Energy utilization in pigs selected for high and low residual feed intake. J Anim Sci 2010; 88:2062-72. [PMID: 20154162 DOI: 10.2527/jas.2009-2395] [Citation(s) in RCA: 92] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Genetic selection on residual feed intake (RFI) can be used as an alternative method to G:F to improve feed efficiency in pigs. The objective of this study was to determine the effects of selection for RFI on digestive and metabolic utilization of energy in 2 lines of purebred French Large White castrated male pigs obtained from a divergent selection experiment over 6 generations. The RFI(+) (high RFI) line consumed more feed than predicted from performance compared with the RFI(-) (low RFI) line. Digestibility of energy and nutrients, total heat production (HP), HP related to physical activity, and energy and N balance were measured in respiration chambers for a 6-d period in pigs offered feed ad libitum. Pigs remained in the chamber for an additional day and did not receive any feed to estimate the fasting HP and calculate the thermic effect of feeding. Five pairs of 2 littermates from the same farrowing batch were used in each line. Because 2 respiration chambers were available for the trial, pigs were measured regularly during the 25- to 95-kg growing period. Two pigs per chamber were used until pigs reached 45 kg of BW, and 1 pig per chamber was used thereafter. Individual feed intake and BW gain were measured continuously from weaning to the end of the trial. Pigs were fed 3 diets with decreasing CP contents during the 25 to 45 (period 1), 45 to 65 (period 2), and 65 to 95 (period 3) kg of BW periods. Average daily feed intake was greater in RFI(+) pigs than in RFI(-) pigs between 25 and 65 kg of BW (2,128 vs. 1,891 g/d; P < 0.01) and G:F was 8% greater in RFI(-) pigs compared with RFI(+) pigs (P < 0.01). There was no line effect on digestibility coefficients or N retention, irrespective of the experimental period studied. Nitrogen retention was 31.2, 28.7, and 20.8 g/d at periods 1, 2, and 3, respectively (P < 0.001). The HP was greater in RFI(+) pigs than in RFI(-) pigs (1,497 vs. 1,383 kJ.kg of BW(-0.60).d(-1); P < 0.01), with no subsequent line effect on energy retention. The activity-related HP tended to be greater in RFI(+) pigs than in RFI(-) pigs (250 vs. 218 kJ.kg of BW(-0.60).d(-1); P = 0.09), and the fasting HP was 10% greater (P = 0.04) in RFI(+) pigs than in RFI(-) pigs (846 vs. 771 kJ.kg of BW(-0.60).d(-1)). The thermic effect of feeding, expressed as a percentage of ME intake, was the same for both lines of pigs (average, 14.7%). In conclusion, the RFI(+) pigs are energetically less efficient because of their greater HP related to physical activity and basal metabolic rate.
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Affiliation(s)
- R Barea
- INRA, UMR1079 Systèmes d'Elevage, Nutrition Animale et Humaine, F-35590 Saint-Gilles, France
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Le Mignon G, Pitel F, Gilbert H, Le Bihan-Duval E, Vignoles F, Demeure O, Lagarrigue S, Simon J, Cogburn LA, Aggrey SE, Douaire M, Le Roy P. A comprehensive analysis of QTL for abdominal fat and breast muscle weights on chicken chromosome 5 using a multivariate approach. Anim Genet 2009; 40:157-64. [PMID: 19243366 DOI: 10.1111/j.1365-2052.2008.01817.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Quantitative trait loci (QTL) influencing the weight of abdominal fat (AF) and of breast muscle (BM) were detected on chicken chromosome 5 (GGA5) using two successive F(2) crosses between two divergently selected 'Fat' and 'Lean' INRA broiler lines. Based on these results, the aim of the present study was to identify the number, location and effects of these putative QTL by performing multitrait and multi-QTL analyses of the whole available data set. Data concerned 1186 F(2) offspring produced by 10 F(1) sires and 85 F(1) dams. AF and BM traits were measured on F(2) animals at slaughter, at 8 (first cross) or 9 (second cross) weeks of age. The F(0), F(1) and F(2) birds were genotyped for 11 microsatellite markers evenly spaced along GGA5. Before QTL detection, phenotypes were adjusted for the fixed effects of sex, F(2) design, hatching group within the design, and for body weight as a covariable. Univariate analyses confirmed the QTL segregation for AF and BM on GGA5 in male offspring, but not in female offspring. Analyses of male offspring data using multitrait and linked-QTL models led us to conclude the presence of two QTL on the distal part of GGA5, each controlling one trait. Linked QTL models were applied after correction of phenotypic values for the effects of these distal QTL. Several QTL for AF and BM were then discovered in the central region of GGA5, splitting one large QTL region for AF into several distinct QTL. Neither the 'Fat' nor the 'Lean' line appeared to be fixed for any QTL genotype. These results have important implications for prospective fine mapping studies and for the identification of underlying genes and causal mutations.
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Affiliation(s)
- G Le Mignon
- INRA, UMR598 Génétique Animale, 35042 Rennes, France
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Gilbert H, Bidanel JP, Gruand J, Caritez JC, Billon Y, Guillouet P, Lagant H, Noblet J, Sellier P. Genetic parameters for residual feed intake in growing pigs, with emphasis on genetic relationships with carcass and meat quality traits. J Anim Sci 2007; 85:3182-8. [PMID: 17785600 DOI: 10.2527/jas.2006-590] [Citation(s) in RCA: 141] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Data were collected over the first 4 generations of a divergent selection experiment for residual feed intake of Large White pigs having ad libitum access to feed. This data set was used to obtain estimates of heritability for residual feed intake and genetic correlations (r(a)) between this trait and growth, carcass, and meat quality traits. Individual feed intake of group-housed animals was measured by single-space electronic feeders. Upward and downward selection lines were maintained contemporarily, with 6 boars and 35 to 40 sows per line and generation. Numbers of records were 793 for residual feed intake (RFI1) of boar candidates for selection issued from first-parity (P1) litters and tested over a fixed BW range (35 to 95 kg) and 657 for residual feed intake (RFI2) and growth, carcass, and meat quality traits of castrated males and females issued from second-parity (P2) litters and tested from 28 to 107 kg of BW. Variance and covariance components were estimated using REML methodology applied to a series of multitrait animal models, which always included the criterion for selection as 1 of the traits. Estimates of heritability for RFI1 and RFI2 were 0.14 +/- 0.03 and 0.24 +/- 0.03, respectively, whereas the estimate of r(a) between the 2 traits was 0.91 +/- 0.08. Estimates of r(a) indicated that selection for low residual feed intake has the potential to improve feed conversion ratio and reduce daily feed intake, with minimal correlated effect for ADG of P2 animals. Estimates of r(a) between RFI2 and body composition traits of P2 animals were positive for traits related to the amount of fat depots (r(a) = 0.44 +/- 0.16 for carcass backfat thickness) and negative for carcass lean meat content (r(a) = -0.55 +/- 0.14). There was a tendency for a negative genetic correlation between RFI2 and carcass dressing percent (r(a) = -0.36 +/- 0.21). Moreover, selection for low residual feed intake is expected, through lower ultimate pH and lighter color, to decrease pork quality (r(a) = 0.77 +/- 0.14 between RFI2 and a meat quality index intended to predict the ratio of the weight of ham after curing and cooking to the weight of defatted and boneless fresh ham).
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Affiliation(s)
- H Gilbert
- INRA, UR337 Génétique Quantitative et Appliquée, 78352 Jouy-en-Josas, France.
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Najmudin S, Carvalho A, Romão M, Guerreiro CIPD, Prates JAM, Correia MAS, Alves V, Ferreira LMA, Gilbert H, Bolam DN, Fontes CMGA. Structure and function of PKD-CBM44 and CBM30 modules of the bifunctional Clostridium thermocellumcellulase, CtCel9D-Cel44A. Acta Crystallogr A 2006. [DOI: 10.1107/s0108767306097224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Gilbert H, Sutton S, Sutherland G. Who Calls QUIT®? The characteristics of smokers seeking advice via a telephone helpline compared with smokers attending a clinic and those in the general population. Public Health 2005; 119:933-9. [PMID: 16083927 DOI: 10.1016/j.puhe.2005.03.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2004] [Revised: 11/29/2004] [Accepted: 03/02/2005] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To compare the characteristics of callers to a telephone helpline with those of smokers seeking assistance through a clinic and smokers in a general population sample. STUDY DESIGN Data were gathered from callers to the Quitline in May and June 2000. Screening data were used for smokers attending the South London & Maudsley NHS Smokers' Clinic from May 2000 to April 2001. The results of the 2000/2001 General Household Survey (GHS) were used to estimate the characteristics of smokers in the general population. METHODS Callers to the Quitline (n=1162) surveyed during the summer of 2000, smokers attending the Maudsley Hospital Smokers' Clinic between May 2000 and April 2001 (n=1127), and smokers surveyed in the GHS between April 2000 and March 2001 (n=14,089) were compared on demographic characteristics, tobacco dependence and readiness to quit. RESULTS Women and older smokers are more likely to seek help, but the Quitline attracts more calls from younger smokers. The age profile of helpline callers corresponds more closely to that of the general population of smokers than does the age profile of clinic attenders. Quitline callers are more dependent than the general population of smokers; clinic attenders are even more dependent. In comparison with the general population, the majority of Quitline callers have plans to quit smoking soon or have already stopped smoking. CONCLUSIONS Telephone helplines reach a more representative sample of smokers in various states of readiness to quit, and provide a service for a population not reached by clinics.
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Affiliation(s)
- H Gilbert
- Department of Epidemiology and Public Health, University College London, London, UK.
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Nurizzo D, Turkenburg J, Nagy T, Gilbert H, Davies G. α- D-glucuronidase: experiences with a SAD experiment in space group P1. Acta Crystallogr A 2002. [DOI: 10.1107/s0108767302088438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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