Growth Performance Analysis of Two Italian Slow-Growing Chicken Breeds: Bianca di Saluzzo and Bionda Piemontese
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Ethical Statement
2.2. Management, Identification, Sexing, and Weighing of Chickens
2.3. Analysis of Growth Performance (Actual Data)
2.4. Analysis of Growth Pattern According to the Gompertz Model (Estimated Data)
2.5. Analysis of PAX7 Polymorphism and Its Association with Growth Parameters
3. Results
3.1. Analysis of Growth Performance (Actual Data)
3.2. Analysis of Growth Pattern According to the Gompertz Model (Estimated Data)
3.3. Comparison of Actual and Estimated Growth Data between the BS and BP and Other Chicken Breeds/Hybrids
3.4. Analysis of PAX7 Polymorphism and Its Association with Growth Parameters
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- FAO. The Second Reports of the State of the World’s Animal Genetic Resources for Food and Agriculture; Scherf, B.D., Pilling, D., Eds.; Commission on Genetic Resources for Food and Agriculture: Rome, Italy, 2015. [Google Scholar]
- Associazione Italiana Allevatori, Registro Anagrafico delle razze avicole autoctone. Available online: http://www.aia.it/aia-website/it/settori/area-tecnica/ufficio-sviluppo/registro-anagrafico-delle-razze-avicole-autoctone (accessed on 17 November 2019).
- Domestic Animal Diversity Information System. Available online: http://www.fao.org/dad-is/en/ (accessed on 17 November 2019).
- Sartore, S.; Sacchi, P.; Soglia, D.; Maione, S.; Schiavone, A.; De Marco, M.; Ceccobelli, S.; Lasagna, E.; Rasero, R. Genetic variability of two Italian indigenous chicken breeds inferred from microsatellite marker analysis. Brit. Poult. Sci. 2016, 57, 435–443. [Google Scholar] [CrossRef] [PubMed]
- De Marco, M.; Dalmasso, A.; Bottero, M.T.; Pattono, D.; Sponza, S.; Sacchi, P.; Rasero, R.; Sartore, S.; Soglia, D.; Giacobini, M.; et al. Local poultry breed assessment in Piemonte (northwest Italy). In Proceedings of the 8th European Symposium on Poultry Genetics, Venice, Italy, 25–27 September 2013; p. 71. [Google Scholar]
- Soglia, D.; Sacchi, P.; Sartore, S.; Maione, S.; Schiavone, A.; De Marco, M.; Bottero, M.T.; Dalmasso, A.; Pattono, D.; Rasero, R. Distinguishing industrial meat from that of indigenous chickens with molecular markers. Poult. Sci. 2017, 96, 2552–2561. [Google Scholar] [CrossRef] [PubMed]
- Ferrante, V.; Marelli, S.; Pignatelli, P.; Baroli, D.; Guidobono Cavalchini, L. Perfomance and reactivity in three Italian chicken breeds for organic production. Anim. Sci. Pap. Rep. 2005, 23, 223–229. [Google Scholar]
- Schiavone, A.; Mellia, E.; Salamano, G.; Raccone, V.; Tarantola, M.; Nurisso, S.; Gennero, S.; Doglione, L. Egg quality and blood parameters of “Bianca di Saluzzo” and Isa Brown hens kept under free range conditions. Ital. J. Anim. Sci. 2009, 8, 772–774. [Google Scholar] [CrossRef] [Green Version]
- Ferrante, V.; Mugnai, C.; Ferrai, L.; Marelli, S.; Spagnoli, E.; Lolli, S. Stress and reactivity in three Italian chicken breeds. Ital. J. Anim. Sci. 2016, 15, 303–309. [Google Scholar] [CrossRef] [Green Version]
- De Marco, M.; Martinez Mirò, S.; Tarantola, M.; Bergagna, S.; Mallia, E.; Gennero, M.S.; Schiavone, A. Effect of genotype and transport on tonic immobility and heterophil/lymphocyte ratio in two local Italian breeds and Isa Brown hens kept under free-range conditions. Ital. J. Anim. Sci. 2013, 12, 481–485. [Google Scholar] [CrossRef]
- Strillacci, M.G.; Cozzi, M.C.; Gorla, E.; Mosca, F.; Schiavini, F.; Román-Ponce, S.I.; Ruiz López, F.J.; Schiavone, A.; Marzoni, M.; Cerolini, S.; et al. Genomic and genetic variability of six Italian chicken populations using SNP and CNV as markers. Animal 2017, 11, 737–745. [Google Scholar] [CrossRef]
- Schiavone, S.; De Marco, M.; Dalmasso, A.; Bottero, M.T.; Pattono, D.; Sacchi, P.; Rasero, R.; Sartore, S.; Soglia, D.; Maione, S.; et al. Preliminary Study on the carcass and meat characteristics of two free-range reared Italian localo hen breeds: Bianca di Saluzzo and Biona Piemontese. Ital. J. Anim. Sci. 2015, 14, 97–98. [Google Scholar]
- Mugnai, C.; Schiavone, A.; De Marco, M.; Sartore, S.; Soglia, D.; Maione, S.; Rasero, R.; Sacchi, P.; Dalmasso, A.; Bottero, M.T.; et al. Market chain of “Consortium for safeguard of Bianca di Saluzzo e Bionda Piemontese breeds” in Piedmont: 2. Meat quality. Ital. J. Anim. Sci. 2017, 16, 84–85. [Google Scholar]
- Sartore, S.; Soglia, D.; Maione, S.; Dabbou, S.; Gariglio, M.; Sacchi, P.; Rasero, R.; Mugnai, C.; Gasco, L.; Gai, F.; et al. Genetic diversity, productive and reproductive performance in Italian chicken breed Bianca di Saluzzo. Ital. J. Anim. Sci. 2019, 18, 133–134. [Google Scholar]
- Soglia, D.; Sartore, S.; Maione, S.; Gariglio, M.; Sacchi, P.; Rasero, R.; Mugnai, C.; Gasco, L.; Gai, F.; Schiavone, A.; et al. Genetic diversity, productive and reproductive performance in Italian chicken breed Bionda Piemontese. Ital. J. Anim. Sci. 2019, 18, 134. [Google Scholar]
- Soglia, D.; Sartore, S.; Maione, S.; Dabbou, S.; Sacchi, P.; Rasero, R.; Mugnai, C.; Gasco, L.; Gai, F.; Schiavone, S. Mating strategy based on DNA parentage information in Italian chicken breeds. Ital. J. Anim. Sci. 2019, 18, 28–29. [Google Scholar]
- Schiavone, A.; Brugiapaglia, A.; De Marco, M.; Sartore, S.; Soglia, D.; Maione, S.; Rasero, R.; Sacchi, P.; Dalmasso, A.; Bottero, M.T.; et al. Market chain of “Consortium for safeguard of Bianca e Bionda breeds” in Piedmont: 1. demography, housing and slaughtering conditions. Ital. J. Anim. Sci. 2017, 16, 84. [Google Scholar]
- Conservation of Biodiversity in Italian Poultry Breeds (TuBAvI). Available online: https://www.pollitaliani.it/en/project/ (accessed on 17 November 2019).
- Gous, R.M.; Moran, E.T., Jr.; Stilborn, H.R.; Bradford, G.D.; Emmans, G.C. Evaluation of the parameters needed to describe the overall growth, the chemical growth, and the growth of feathers and breast muscles of broilers. Poult. Sci. 1999, 78, 812–821. [Google Scholar] [CrossRef]
- Sakomura, N.K.; Longo, F.A.; Oviedo-Rondon, E.O.; Boa-Viagem, C.; Ferraudo, A. Modeling energy utilization and growth parameter description for broiler chickens. Poult. Sci. 2005, 84, 1363–1369. [Google Scholar] [CrossRef]
- Darmani-Kuhi, H.; Porter, T.; López, S.; Kebreab, E.; Strathe, A.B.; Dumas, A.; Dijkstra, J.; France, J. A review of mathematical functions for the analysis of growth in poultry. Worlds Poult. Sci. J. 2010, 66, 227–239. [Google Scholar] [CrossRef] [Green Version]
- Rizzi, C.; Contiero, B.; Cassandro, M. Growth patterns of Italian local chicken populations. Poult. Sci. 2013, 92, 2226–2235. [Google Scholar] [CrossRef] [PubMed]
- Narinç, D.; Aksoy, T.; Karaman, E.; Isaslan Curek, D. Analysis of fitting growth models in medium growing chickens raised indoor system. Trends Anim. Vet. Sci. J. 2010, 1, 12–18. [Google Scholar]
- Barbato, G.F. Genetic architecture of growth curve parameters in chckens. Theor Appl Genet. 1991, 83, 24–32. [Google Scholar] [CrossRef]
- Darmani Kuhi, H.; Kebreab, E.; Lopez, S.; France, J. An evaluation of different growth functions for describing the profile of live weight with time (age) in meat and egg strains of chicken. Poult. Sci. 2003, 82, 1536–1543. [Google Scholar] [CrossRef]
- Narinç, D.; Narinç, N.Ö.; Aygün, A. Growth curves analyses in poultry science. Worlds Poult. Sci. J. 2017, 73, 395–408. [Google Scholar] [CrossRef]
- Tjørve, K.M.C.; Tjørve, E. The use of Gompertz models in growth analyses, and new Gompertz-model approach: An addition to the unified-Richards family. PLoS ONE 2017, 12, e0178691. [Google Scholar] [CrossRef] [PubMed]
- Zhang, S.; Han, R.L.; Gao, Z.Y.; Zhu, S.K.; Tian, Y.D.; Sun, G.R.; Kang, X.T. A novel 31-bp indel in the paired box 7 (PAX7) gene is associated with chicken performance traits. Brit. Poult. Sci. 2014, 55, 31–36. [Google Scholar] [CrossRef] [PubMed]
- The R Project for Statistical Computing. Available online: https://www.r-project.org/ (accessed on 17 November 2019).
- The R Project for Statistical Computing, package agricolae: Statistical Procedures for Agricultural Research. Available online: https://cran.r-project.org/web/packages/agricolae/agricolae.pdf (accessed on 30 January 2020).
- The R Project for Statistical Computing, Package Easynls: Easy Nonlinear Model. Available online: https://cran.r-project.org/web/packages/easynls/easynls.pdf (accessed on 17 November 2019).
- The R Project for Statistical Computing, Package Grofit: The Package was Developed to Fit many Growth Curves Obtained under Different Conditions. Available online: http://www2.uaem.mx/r-mirror/web/packages/grofit/grofit.pdf (accessed on 17 November 2019).
- Morgulis, A.; Coulouris, G.; Raytselis, Y.; Madden, T.L.; Agarwala, R.; Schäffer, A.A. Database indexing for production MegaBLAST searches. Bioinformatics 2008, 24, 1757–1764. [Google Scholar] [CrossRef] [PubMed]
- Goudet, J. FSTAT. Available online: https://www2.unil.ch/popgen/softwares/fstat.htm (accessed on 17 November 2019).
- Rogers, A.G.; Pritchett, E.M.; Alphin, R.L.; Brannick, E.M.; Benson, E.R.I. Evaluation of the impact of alternative light technology on male broiler chicken growth, feed conversion, and allometric characteristics. Poult. Sci. 2015, 94, 408–414. [Google Scholar] [CrossRef] [PubMed]
- Label Rouge: Pasture-Based Poultry Production in France. Available online: https://thepoultrysite.com/articles/label-rouge-pasturebased-poultry-production-in-france (accessed on 17 November 2019).
- Rizzi, C.; Chiericato, G.M. Chemical composition of meat and egg yolk of hybrid and Italian breed hens reared using an organic production system. Poult. Sci. 2010, 89, 1239–1251. [Google Scholar] [CrossRef]
- Zanetti, E.; De Morchi, M.; Dalvit, C.; Molette, C.; Remignon, H.; Cassandro, M. Carcass characteristics and qualitative meat traits of three Italian local chicken breeds. Brit. Poult. Sci. 2010, 51, 629–634. [Google Scholar] [CrossRef] [Green Version]
- Rizzi, C.; Baruchello, M.; Chiericato, G.M. Effect of sex on slaughter performance and meat quality of Ermellinata di Rovigo chickens. Ital. J. Anim. Sci. 2009, 8, 276–278. [Google Scholar] [CrossRef]
- Mosca, F.; Kuster, C.A.; Stella, S.; Farina, G.; Madeddu, M.; Zaniboni, L.; Cerolini, S. Growth performance, carcass characteristics and meat composition of Milanino chickens fed on diets with different protein concentrations. Brit. Poult. Sci. 2016, 57, 531–537. [Google Scholar] [CrossRef]
- Miguel, J.A.; Asenjo, B.; Ciria, J.; Calvo, J.L. Growth and lay modelling in a population of Castellana Negra native Spanish hens. Brit. Poult. Sci. 2007, 48, 651–654. [Google Scholar] [CrossRef]
- Verrier, E.; Tixier-Boichard, M.; Bernigaud, R.; Naves, M. Conservation and value of local livestock breeds: Niche products and/or adaptation to specific environments. AGRI 2005, 36, 21–31. [Google Scholar] [CrossRef]
- Verdiglione, R.; Cassandro, M. Characterization of muscle fiber type in the pectoralis major muscle of slow-growing local and commercial chicken strains. Poult. Sci. 2013, 92, 2433–2437. [Google Scholar] [CrossRef] [PubMed]
- De Marchi, M.; Cassandro, M.; Lunardi, E.; Baldan, G.; Siegel, P.B. Carcass characteristics and qualitative meat traits of the Padovana breed of chicken. Int. J. Poult. Sci. 2005, 4, 233–238. [Google Scholar]
- Sabbioni, A.; Zanon, A.; Beretti, V.; Superchi, P.; Zambini, E.M. Carcass yield and meat quality parameters of two Italian autochthonous chicken breeds reared outdoor: Modenese and Romagnolo. In Proceedings of the 12th European Poultry Conference, Verona, Italy, 10–14 September 2006; p. 203. [Google Scholar]
- Demuner, L.F.; Suckeveris, D.; Muñoz, J.A.; Caetano, V.C.; Gonçalves de Lima, C.; Emygdio de Faria Filho, D.; Emygdio de Faria Filho, D. Adjustment of growth models in broiler chickens. Pesq. Agropec. Bras. 2017, 52, 1241–1252. [Google Scholar] [CrossRef] [Green Version]
- Michalczuk, M.; Damaziak, K.; Goryl, A. Sigmoid models for the growth curves in medium-growing meat type chckens, raised under semi-confined conditions. Ann. Anim. Sci. 2016, 16, 65–77. [Google Scholar] [CrossRef] [Green Version]
- Soares, L.C.; Lopes, J.C.; Brito, N.V.; Carvalheira, J. Growth and carcass traits of three Portuguese autochthonous chicken breeds: Amarela, Preta Lusitânica and Pedrês Portuguesa. Ital. J. Anim. Sci. 2015, 14, 71–76. [Google Scholar] [CrossRef] [Green Version]
- Sutherland, D.-A.A.T.; Ferst Honaker, C.; Dorshorst, B.; Andersson, L.; Brisbin, I.L., Jr.; Siegel, P.B. Growth patterns for three generations of an intercross between red junglefowl and chickens selected for low body weight. J. Anim. Breed. Genet. 2018, 135, 300–310. [Google Scholar] [CrossRef]
- Eleroğlu, H.; Yıldırım, A.; Şekeroğlu, A.; Ҫoksöyler, F.N.; Duman, M. Comparison of growth curves by growth models in slow–growing chicken genotypes raised the organic system. Int. J. Agric. Biol. 2014, 16, 529–535. [Google Scholar]
- Masoudi, A.; Azarfar, A. Comparison of nonlinear models describing growth curves of broiler chickens fed on different levels of corn bran. Int. J. Avian Wildlife Biol. 2017, 2, 34–39. [Google Scholar] [CrossRef]
- Mignon-Grasteau, S.; Beaumont, C.; Le Bihan-Duval, E.; Poivey, J.P.; De Rochambeau, H.; Ricard, F.H. Genetic parameters of growth curve parameters in male and female chcikens. Brit. Poult. Sci. 1999, 40, 44–51. [Google Scholar] [CrossRef]
- Franco, D.; Rois, D.; Vázquez, J.A.; Lorenzo, J.M. Comparison of growth performance, carcass components, and meat quality between Mos rooster (Galician indigenous breed) and Sasso T-44 line slaughtered at 10 months. Poult. Sci. 2012, 91, 1227–1239. [Google Scholar] [CrossRef] [PubMed]
- Janisch, S.; Krischek, C.; Wicke, M. Color values and other meat quality characteristics of breast muscles collected from 3 broiler genetic lines slaughtered at 2 ages. Poult. Sci. 2011, 90, 1774–1781. [Google Scholar] [CrossRef] [PubMed]
- Dias, R.C.; Krabbe, E.L.; Bavaresco, C.; Stefanello, T.B.; Kawski, V.L.; Panisson, J.C.; Maiorka, A.; Roll, V.F.B. Effect of strain and nutritional density of the diet on the water-protein ratio, fat and collagen levels in the breast and legs of broilers slaughtered at different ages. Poult. Sci. 2020. [Google Scholar] [CrossRef] [PubMed]
- Aggrey, S.E. Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poult. Sci. 2002, 81, 1782–1788. [Google Scholar] [CrossRef] [PubMed]
- FAO. In Vivo Conservation of Animal Genetic Resources; Commission on Genetic Resources for Food and Agriculture: Rome, Italy, 2013. [Google Scholar]
- Caldas, J.V.; Boonsinchai, N.; Wang, J.; England, J.A.; Coon, C.N. The dynamics of body composition and body energy content in broilers. Poult. Sci. 2019, 98, 866–877. [Google Scholar] [CrossRef] [PubMed]
- Flint, A.P.F.; Woolliams, J.A. Precision animal breeding. Phil. Trans. R Soc. B. 2008, 363, 573–590. [Google Scholar] [CrossRef] [Green Version]
- Georges, M.; Charlier, C.; Hayes, B. Harnessing genomic information for livestock improvement. Nat. Rev. Genet. 2019, 20, 135–156. [Google Scholar] [CrossRef]
- FAO. Molecular Genetic Characterization of Animal Genetic Resources; FAO Animal Production and Health Guidelines No. 9: Rome, Italy, 2011. [Google Scholar]
- Halevy, O.; Piestun, Y.; Allouh, M.Z.; Rosser, B.W.C.; Rinkevich, Y.; Reshef, R.; Rozenboim, I.; Wleklinski-Lee, M.; Yablonka-Reuveni, Z. Pattern of Pax7 expression during myogenesis in the posthatch chicken establishes a model for satellite cell differentiation and renewal. Dev. Dynam. 2004, 231, 489–502. [Google Scholar] [CrossRef]
- Wang, C.; Yang, Y.Z.; Liu, Y.; Gong, S.M.; Wang, H.Y.; He, D.Q. Paired box 7 (Pax7) gene: Molecular characterisation, polymorphism and its association with growth performance in goose (Anser cygnoides). Brit. Poult. Sci. 2017, 58, 629–634. [Google Scholar] [CrossRef]
- Chang, G.B.; Liu, X.P.; Liao, J.; Chen, R.; Luan, D.Q.; Zhang, Y.; Dai, A.Q.; Ma, T.; Zhou, W.; Wang, K.H.; et al. Temporal and spatial expression of the Pax-7 gene during chicken embryo and postnatal development. J. Anim. Vet. Adv. 2011, 10, 1785–1788. [Google Scholar]
w | Bianca di Saluzzo | Bionda Piemontese | SEM | p | ||||
---|---|---|---|---|---|---|---|---|
Females (n = 46) | Males (n = 47) | Females (n = 54) | Males (n = 54) | B | S | B × S | ||
0 | 38.8 | 39.8 | 39.1 | 38.7 | 0.42 | n.s. | n.s. | n.s. |
2 | 138 a | 159 b | 186 c | 184 c | 7.5 | *** | n.s. | n.s. |
4 | 235 a | 257 a | 304 b | 304 b | 9.2 | *** | n.s. | n.s. |
6 | 365 a | 404 b | 429 b | 467 c | 10 | *** | *** | n.s. |
8 | 595 a | 674 b | 667 b | 787 c | 14 | *** | *** | n.s. |
10 | 772 a | 958 b | 868 c | 1076 d | 18 | *** | *** | n.s. |
12 | 868 a | 1132 b | 949 c | 1222 d | 18 | *** | *** | n.s. |
14 | 985 a | 1266 b | 1041 c | 1374 d | 20 | *** | *** | n.s. |
16 | 1103 a | 1430 b | 1135 a | 1532 c | 23 | ** | *** | n.s. |
18 | 1277 a | 1652 b | 1363 c | 1710 b | 28 | * | *** | n.s. |
20 | 1425 a | 1820 b | 1452 a | 1812 b | 33 | n.s. | *** | n.s. |
22 | 1582 a | 2019 b | 1568 a | 2060 b | 34 | n.s. | *** | n.s. |
24 | 1684 a | 2219 b | 1658 a | 2208 b | 36 | n.s. | *** | n.s. |
26 | 1766 a | 2367 b | 1733 a | 2307 b | 37 | n.s. | *** | n.s. |
28 | 1825 a | 2451 b | 1761 a | 2384 b | 37 | n.s. | *** | n.s. |
30 | 1868 a | 2536 b | 1798 a | 2450 b | 38 | n.s. | *** | n.s. |
32 | 1854 a | 2572 b | 1819 a | 2475 b | 38 | n.s. | *** | n.s. |
Item | Bianca di Saluzzo | Bionda Piemontese | SEM | p | ||||
---|---|---|---|---|---|---|---|---|
Females (n = 46) | Males (n = 47) | Females (n = 54) | Males (n = 54) | B | S | B × S | ||
Model G1 | ||||||||
BWa | 2184 a | 3074 b | 201 c | 2745 d | 55 | *** | *** | n.s. |
b | 3.32 a | 3.55 b | 2.99 c | 3.25 a | 0.05 | *** | *** | n.s. |
k | 0.014 ab | 0.014 b | 0.016 c | 0.015 ac | 0.000 | *** | n.s. | n.s. |
BWip | 803 a | 1131 b | 740 c | 1010 d | 20 | *** | *** | n.s. |
Tip | 86.0 a | 95.6 b | 71.6 c | 79.6 d | 1.9 | *** | *** | n.s. |
BWs | 1647 a | 2188 b | 1634 a | 2177 b | 32 | n.s. | *** | n.s. |
MGR | 11.3 a | 15.0 b | 11.2 a | 15.0 b | 0.3 | n.s. | *** | n.s. |
Dm | 0.76 a | 0.72 b | 0.82 c | 0.79 c | 0.01 | ** | * | n.s. |
r² | 0.99 | 0.991 | 0.99 | 0.99 | - | - | - | - |
AIC | 196 | 199 | 196 | 200 | - | - | - | - |
Model G2 | ||||||||
BWa | 2508 a | 3383 b | 2193 c | 2819 d | 83 | *** | *** | n.s. |
λ | 14.35 a | 20.63 b | 7.47 c | 12.58 a | 1.02 | *** | *** | n.s. |
μ | 11.84 a | 15.83 b | 11.78 a | 15.65 b | 0.26 | n.s. | *** | n.s. |
BWip | 922 a | 1244 b | 807 c | 1037 d | 30 | *** | *** | n.s. |
Tip | 94.1 a | 101.4 b | 77.5 c | 81.0 c | 2.4 | *** | * | n.s. |
BWs | 1748 a | 2302 b | 1718 a | 2225 b | 36 | n.s. | *** | n.s. |
Dm | 0.72 a | 0.69 a | 0.80 b | 0.79 b | 0.01 | ** | n.s. | n.s. |
r² | 0.97 | 0.99 | 0.98 | 0.99 | - | - | - | - |
AIC | 206 | 201 | 197 | 200 | - | - | - | - |
Age (d) | RS | SA | RM | ER | MIL | CN | BS | BP | BR | PD | MO | RO | PE |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42 | 2936 | 396 | 385 | 448 | |||||||||
84 | 2300 | 1095 | 1000 | 1086 | |||||||||
108 | 1300 | ||||||||||||
140 | 2186 | 1812 | 1623 | 1632 | 1800 | ||||||||
150 | 2381 | 1536 | |||||||||||
168 | 2395 | ||||||||||||
175 | 2250 | ||||||||||||
180 | 2541 | 2068 | 2020 | 1800 | |||||||||
190 | 2900 | 2100 | 1500 | ||||||||||
210 | 2220 | 2147 | 2142 | 2175 |
Item | RS1 | RS2 | HUB | B | ||||||||
F | M | Δ | F | M | Δ | F | M | Δ | F | M | Δ | |
BWa | 6401 | 6949 | +9 | 4664 | 5475 | +17 | 3657 | 4362 | +19 | 2697 | 3880 | +44 |
b | 4.44 | 4.79 | +8 | 4.20 | 4.62 | +10 | 4.14 | 4.37 | +6 | 4.03 | 4.39 | +9 |
k | 0.039 | 0.042 | +8 | 0.036 | 0.036 | 0 | 0.031 | 0.031 | 0 | 0.021 | 0.019 | −10 |
BWip | 2356 | 2557 | 1716 | 2015 | 1345 | 1605 | 992 | 1427 | ||||
Tip | 39 | 37 | −5 | 43 | 43 | 0 | 46 | 48 | +4 | 69 | 82 | +19 |
MGR | 92 | 107 | +16 | 62 | 73 | +18 | 42 | 50 | +19 | 21 | 27 | +29 |
Item | BS | PA | BP | PC | ||||||||
F | M | Δ | F | M | Δ | F | M | Δ | F | M | Δ | |
BWa | 2184 | 3074 | +41 | 2022 | 2245 | +11 | 2012 | 2745 | +36 | 1979 | 2558 | +29 |
b | 3.32 | 3.55 | +6 | 4.35 | 4.77 | +10 | 3.00 | 3.25 | +10 | 4.01 | 4.16 | +4 |
k | 0.014 | 0.014 | 0 | 0.021 | 0.020 | −5 | 0.016 | 0.015 | −6 | 0.020 | 0.019 | −5 |
BWip | 804 | 1131 | 744 | 826 | 740 | 1010 | 728 | 941 | ||||
Tip | 86 | 96 | +12 | 75 | 81 | +8 | 72 | 80 | +11 | 72 | 76 | +6 |
MGR | 11 | 16 | +45 | 16 | 17 | +6 | 12 | 15 | +25 | 15 | 18 | +20 |
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Soglia, D.; Sartore, S.; Maione, S.; Schiavone, A.; Dabbou, S.; Nery, J.; Zaniboni, L.; Marelli, S.; Sacchi, P.; Rasero, R. Growth Performance Analysis of Two Italian Slow-Growing Chicken Breeds: Bianca di Saluzzo and Bionda Piemontese. Animals 2020, 10, 969. https://doi.org/10.3390/ani10060969
Soglia D, Sartore S, Maione S, Schiavone A, Dabbou S, Nery J, Zaniboni L, Marelli S, Sacchi P, Rasero R. Growth Performance Analysis of Two Italian Slow-Growing Chicken Breeds: Bianca di Saluzzo and Bionda Piemontese. Animals. 2020; 10(6):969. https://doi.org/10.3390/ani10060969
Chicago/Turabian StyleSoglia, Dominga, Stefano Sartore, Sandra Maione, Achille Schiavone, Sihem Dabbou, Joana Nery, Luisa Zaniboni, Stefano Marelli, Paola Sacchi, and Roberto Rasero. 2020. "Growth Performance Analysis of Two Italian Slow-Growing Chicken Breeds: Bianca di Saluzzo and Bionda Piemontese" Animals 10, no. 6: 969. https://doi.org/10.3390/ani10060969
APA StyleSoglia, D., Sartore, S., Maione, S., Schiavone, A., Dabbou, S., Nery, J., Zaniboni, L., Marelli, S., Sacchi, P., & Rasero, R. (2020). Growth Performance Analysis of Two Italian Slow-Growing Chicken Breeds: Bianca di Saluzzo and Bionda Piemontese. Animals, 10(6), 969. https://doi.org/10.3390/ani10060969