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Anim Biosci > Volume 38(5); 2025 > Article |
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AUTHORS’ CONTRIBUTION
Conceptualization: Cosenza G, Peretti V, Ciotola F.
Data curation: Cosenza G, Murru N, Peretti V.
Formal analysis: Pugliano MG, D‘Anza E, Di Paolo M, Albarella S.
Methodology: Cosenza G, Albarella S, Ciotola F.
Validation: Cosenza G, Murru N, Albarella S, Ciotola F.
Investigation: Pugliano MG, D‘Anza E, Fulgione A, Di Paolo M.
Writing - original draft: Pugliano M, Cosenza G, D‘Anza E, Murru N, Albarella S, Ciotola F.
Writing - review & editing: Pugliano MG, Cosenza G, D‘Anza E, Fulgione A, Murru N, Di Paolo M, Albarella S, Peretti V, Ciotola F.
FUNDING
This study was supported by SAVEPEB Project: PSR Campania 2014-2020. Misura 19 – sottomisura 19.2 - Tipologia d‘intervento 16.1.1 Sostegno per la costituzione ed il funzionamento dei Gruppi Operativi del PEI in materia di produttività e sostenibilità dell’agricoltura – Azione 2 – Sostegno ai Progetti Operativi di Innovazione (POI) della Strategia di Sviluppo Locale del GAL i Sentieri del Buon Vivere 2014-2020 Progetto “SAVEPEB” CUP: G62C20000590007. Preserving the historical and cultural identity of inland areas through the improvement of native genetic types of animals in danger of extinction. CUPB43F18000170007.
ACKNOWLEDGMENTS
The authors wish to acknowledge Dr. Giuseppe Bettua and Dr. Ilaria Cascone for their technical support.
DATA AVAILABILITY
Upon reasonable request, the datasets of this study can be available from the corresponding author.
ETHICS APPROVAL
The Ethical Animal Care and Use Committee of University of Naples Federico II pre-approved all procedures used in this research study (Prot. Nr. PG/2022/0146433). All samples were collected in compliance with the European rules (Council Regulation [EC] No. 1/2005 and Council Regulation [EC] No. 1099/2009). The authors confirm that they have followed EU standards for the protection of animals used for scientific purposes.
Genotype numbers | Allele frequency | Population indices | ||||||
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CC | CT | TT | C | T | Ho | He | FIS | |
Obs | 90 | 105 | 57 | 0.57 | 0.43 | 0.42 | 0.49 | 0.15 |
Exp | 80.46 | 124.08 | 47.46 | - | - | - | - | - |
χ2 = 5.99 | ||||||||
p = 0.01 | ||||||||
d.f. = 1 |
Breed | No of genotyped animals | Allele frequency | References | |
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C | T | |||
Bagnolese | 252 | 0.56 | 0.44 | This research |
Altamurana | 37 | 0.75 | 0.25 | [2] |
Gentile di Puglia | 37 | 0.68 | 0.32 | |
Sarda | 34 | 0.59 | 0.41 |
Genotype numbers | Allele frequency | Population indices | ||||||
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CC | CT | TT | C | T | Ho | He | FIS | |
Obs | 229 | 22 | 1 | 0.95 | 0.05 | 0.09 | 0.09 | 0.049 |
Exp | 227.43 | 11.97 | 0.63 | - | - | - | - | - |
χ2 = 0.59 | ||||||||
p = 0.44 | ||||||||
d.f. = 1 |
Breed | N. of genotyped animals | Genotype frequency | Allele frequency | References | Country | |||
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CC | CT | TT | C | T | ||||
Bagnolese | 252 | 0.910 | 0.088 | 0.001 | 0.95 | 0.05 | This study | Italy |
Altamurana | 37 | - | - | - | 0.94 | 0.06 | [2] | |
Gentile di Puglia | 37 | - | - | - | 0.93 | 0.07 | ||
Sarda | 34 | - | - | - | 1.00 | 0 | ||
Ansotana | 50 | 0.74 | 0.18 | 0.08 | 0.83 | 0.17 | [9] | Spain |
Latxa | 36 | 0.83 | 0.17 | 0.00 | 0.92 | 0.08 | ||
Romanov | 33 | 0.76 | 0.18 | 0.06 | 0.85 | 0.15 | ||
Rasa aragonesa | 55 | 0.62 | 0.33 | 0.04 | 0.80 | 0.20 | ||
Churra | 52 | 0.79 | 0.19 | 0.02 | 0.88 | 0.12 | ||
Churra tensina | 57 | 0.53 | 0.33 | 0.14 | 0.69 | 0.31 | ||
Churra lebrijana | 50 | 1.00 | 0.00 | 0.00 | 1.00 | 0 | ||
Manchega | 48 | 0.73 | 0.21 | 0.06 | 0.83 | 0.17 | ||
Assaf | 402 | 0.93 | 0.07 | 0.00 | 0.96 | 0.04 | ||
Compass Agrinac | 10 | 1.00 | 0.00 | 0.00 | 1 | 0 | [21] | Indonesia |
Barbados Cross | 10 | 1.00 | 0.00 | 0.00 | 1 | 0 | ||
Jonggol sheep | 15 | 1.00 | 0.00 | 0.00 | 1 | 0 | ||
Javanese thin-tailed | 15 | 0.86 | 0.13 | 0.00 | 0.93 | 0.06 | ||
Compass Agrinac | 35 | 1.00 | 0.00 | 0.00 | 1 | 0 | [22] | |
Barbados Cross | 36 | 1.00 | 0.00 | 0.00 | 1 | 0 | ||
Garut Composite | 41 | 1.00 | 0.00 | 0.00 | 1 | 0 | ||
Javanese thin-tailed | 18 | 0.90 | 0.10 | 0.00 | 0.95 | 0.05 | ||
Javanese fat-tailed | 20 | 0.94 | 0.06 | 0.00 | 0.99 | 0.01 | ||
Barki | 25 | 0.78 | 0.22 | 0.00 | 0.89 | 0.11 | [23] | Egypt |
Najdi | 25 | 0.65 | 0.35 | 0.00 | 0.83 | 0.17 | ||
Harri | 25 | 0.50 | 0.50 | 0.00 | 0.75 | 0.25 | ||
Lori | 118 | 0.43 | 0.26 | 0.31 | 0.56 | 0.43 | [20] | Iran |
Lori-Bakhtiari | 152 | 0.16 | 0.19 | 0.65 | 0.25 | 0.74 | [18] | |
Zel | 157 | 0.07 | 0.24 | 0.69 | 0.19 | 0.81 | ||
Moghani | 150 | 0.04 | 0.26 | 0.70 | 0.17 | 0.83 | [19] | |
Turcana | 50 | 0.84 | 0.12 | 0.04 | 0.90 | 0.10 | [24] | Romania |
Small-tailed Han | 96 | 0.34 | 0.09 | 0.57 | 0.38 | 0.62 | [17] | China |
Tan | 94 | 0.36 | 0.11 | 0.53 | 0.41 | 0.59 | ||
InnerMongolia | 96 | 0.25 | 0.02 | 0.73 | 0.26 | 0.74 | ||
Tan | 58 | 0.59 | 0.38 | 0.03 | 0.78 | 0.22 | [16] | |
Oula | 39 | 0.51 | 0.28 | 0.21 | 0.65 | 0.35 | ||
Ganjia | 36 | 0.59 | 0.22 | 0.19 | 0.69 | 0.31 | ||
Qiaoke | 34 | 0.50 | 0.23 | 0.27 | 0.62 | 0.38 | ||
Akkaraman | 374 | 0.91 | 0.09 | 0.00 | 0.96 | 0.04 | [25] | Turkey |
Imroz | 60 | 0.68 | 0.27 | 0.05 | 0.82 | 0.18 | [26] | |
Chios | 52 | 0.52 | 0.36 | 0.12 | 0.70 | 0.30 | ||
Jaisalmer | 42 | 0.57 | 0.36 | 0.07 | 0.75 | 0.25 | [27] | India |
Deccani | 38 | 0.84 | 0.16 | 0.00 | 0.92 | 0.08 | ||
Muzzafarnagri | 50 | 0.76 | 0.20 | 0.04 | 0.86 | 0.14 | ||
Mandya | 36 | 0.92 | 0.08 | 0.000 | 0.96 | 0.04 | ||
Nali | 51 | 0.78 | 0.20 | 0.02 | 0.88 | 0.12 | ||
Nellore | 42 | 0.74 | 0.21 | 0.05 | 0.85 | 0.15 | ||
Ganjam | 47 | 0.98 | 0.02 | 0.000 | 0.99 | 0.01 | ||
Magra | 36 | 0.78 | 0.19 | 0.03 | 0.88 | 0.12 | ||
Malpura | 146 | 0.86 | 0.02 | 0.12 | 0.92 | 0.08 | [28] |
Parameters | Genotypes | ||
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CC (n = 29) | CT (n = 36) | TT (n = 25) | |
Milk yield (kg/lactation) | 112.51±30.01 | 109.31±42.35 | 108.86±22.90 |
Fat yield (%) | 8.43±0.73B | 9.75±0.98A | 8.81±1.24B |
Protein yield (%) | 5.78±1.83B | 6.75±0.36A | 6.64±0.34A |
Fat yield (kg) | 8.71±3.07 | 10.45±4.0 | 9.33±2.45 |
Protein yield (kg) | 6.43±2.14 | 7.36±2.83 | 7.07±1.59 |
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