| Literature DB >> 35464706 |
S O Houessou1, S F U Vanvanhossou2, R V C Diogo3, L H Dossa1.
Abstract
Data for concretely analyzing current trends regarding breed composition of cattle herds at the national scale and the logic behind it are lacking in Benin. This study aimed to investigate the factors affecting the dynamics of breed composition in traditional Beninese cattle herds. In this regard, the main reasons for acquiring new breeds by herders and management strategies for animal genetic diversity in herds were targeted. Using a semi-structured questionnaire, a total of 753 cattle herds were surveyed in six pastoral communities along a north-south transect in Benin. Data collection included original breed composition of the herds (at their installation), cattle breeds introduced in the last five years, reasons for introducing new breeds, herders' breed preferences, and perceptions concerning productive and adaptive traits of the existing breeds in the study area. Descriptive analyses of herd composition revealed breed redistribution across the country with the increasing introduction of zebu in the southern region of the country. A high percentage of nondescript crossbreeds was associated with herders' willingness to improve both milk and meat production. In this regard, the analysis of herders' perceptions using the Friedman test ranked most zebu cattle breeds as the most productive. In contrast, the taurine breeds were highly ranked by herders for their adaptive features. This study confirms that herders' breed choices fit their production objectives. In addition, strategies for effectively and efficiently managing genetic diversity within herds are expected to increase animal productivity while conserving adaptive and special traits in local breeds. The effectiveness of herders' knowledge of local cattle breeds as well as their experience may increase the success of such strategies and facilitate their adoption.Entities:
Keywords: Breed distribution; Crossbreeding; Herder perception; Management of genetic diversity
Year: 2022 PMID: 35464706 PMCID: PMC9019235 DOI: 10.1016/j.heliyon.2022.e09229
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Current cattle types in the herds (n) across locations in the study area.
| Locations | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Total | Kétou | Savalou | Tchaourou | Kandi | Sinendé | Boukoumbé | χ2 | ||
| (n = 753) | (n = 120) | (n = 120) | (n = 110) | (n = 148) | (n = 135) | (n = 120) | |||
| Cattle breed (% of herds) | Bargouji | 46.6 | 4.2a | 7.5a | 76.4b | 82.4b | 97.0c | 0.0 | 518.79 |
| Yakanaji | 44.2 | 96.7a | 96.7a | 76.4b | 0.7c | 11.9d | 0.0 | 579.95 | |
| Gudali | 13.7 | 18.3a | 35.8b | 32.7b | 1.4c | 0.0 | 0.0 | 145.34 | |
| Dageeji | 8.4 | 17.5a | 22.5a | 13.6a | 0.0 | 0.0 | 0.0 | 85.10 | |
| Bodeeji | 6.5 | 10.8a | 25.8b | 0.0 | 2.0c | 1.5c | 0.0 | 103.85 | |
| Boboji | 7.7 | 6.7a | 41.7b | 0.0 | 0.0 | 0.0 | 0.0 | 237.71 | |
| Djelliji | 2.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7a | 13.3b | 79.62 | |
| Nondescript crossbreed | 55.9 | 62.5b | 80.0b | 69.1ab | 39.9c | 77.0b | 9.2d | 184.38 | |
| Somba | 15.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 95.8 | 715.97 | |
abc Within a row, values with different superscript letters are significantly different at P ≤ 0.001 level (Chi-square test).
Figure 1Pictures of cattle breeds in the study area.
Figure 2Map depicting the current geographical distribution of cattle type across the study area in Benin.
Dominant cattle breeds in the herds (n) across locations in the study area.
| Locations | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Total | Kétou | Savalou | Tchaourou | Kandi | Sinendé | Boukombé | χ2 | ||
| (n = 753) | (n = 120) | (n = 120) | (n = 110) | (n = 148) | (n = 135) | (n = 120) | |||
| Cattle breed (% of herds) | Bargouji | 43.6 | 4.2a | 7.5a | 76.4b | 66.9b | 97.0c | 0.0 | 143.17 |
| Yakanaji | 33.3 | 94.2a | 90.0a | 23.6c | 0.7d | 2.2d | 0.0 | ||
| Gudali | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
| Dageeji | 0.5 | 1.7a | 1.7a | 0.0 | 0.0 | 0.0 | 0.0 | ||
| Boboji | 0.1 | 0.0 | 0.8b | 0.0 | 0.0 | 0.0 | 0.0 | ||
| Djelliji | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.2 | ||
| Nondescript crossbreed | 7.2 | 0.0 | 0.0 | 0.0 | 32.4a | 0.7b | 4.2b | ||
| Somba | 14.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 91.7 | ||
abc Within a row, with different superscript letters are significantly different at P < 0.0001 level (Chi-square test).
Figure 3Dynamics of breed composition of herds across the study area in Benin.
Cattle breeds recently introduced in the herds across locations.
| Locations | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Total | Kétou | Savalou | Tchaourou | Kandi | Sinendé | Boukombé | χ2 | ||
| (n = 560) | (n = 44) | (n = 124) | (n = 120) | (n = 51) | (n = 149) | (n = 75) | |||
| Cattle breeds (% of herds) | Bargouji | 35.4 | 0 | 0 | 15.0a | 96.1b | 87.9b | 0 | 1035.28 |
| Yakanaji | 40.0 | 81.8a | 92.7b | 54.2c | 0 | 5.4d | 0 | ||
| Gudali | 6.8 | 4.5a | 6.5a | 23.3b | 0 | 0 | 0 | ||
| Dageeji | 2.5 | 9.1a | 0.8b | 7.5a | 0 | 0 | 0 | ||
| Bodeeji | 0.2 | 2.3a | 0 | 0 | 3.9a | 0 | 0 | ||
| Boboji | 0.2 | 2.3 | 0 | 0 | 0 | 0 | 0 | ||
| Somba | 9.3 | 0 | 0 | 0 | 0 | 0 | 72.2 | ||
| Nondescript | 5.4 | 0 | 0 | 0 | 0 | 6.7ab | 27.8b | ||
abc Within a row, with different superscript letters are significantly different at P < 0.0001 level (Chi-square test).
Figure 4Reasons given by herders for introducing new breeds in their herds.
Herders’ ranking of cattle traits/attributes for locally available breeds in southern, central, and northern Benin (n = 753).
| Location | Genotype/Breed | Traits | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Milk | Meat yield | Reproductive performances | Calves' viability | Resistance to disease | Resistance to feed shortage | Marketing easiness | Ability to walk long distances | Draught ability | |||||||||||
| Kétou and Savalou | Yakanaji | 1.6a | (2) | 2.2a | (2) | 2.4a | (1) | 2.8a | (2) | 2.4a | (2) | 2.4a | (2) | 2.3a | (2) | 1.9a | (2) | 1.9a | (1) |
| Gudali | 1.5a | (1) | 1.2b | (1) | 3.4bc | (4) | 3.4ab | (4) | 4.1b | (5) | 4.5b | (5) | 1.1b | (1) | 3.5b | (4) | 2.7b | (3) | |
| Bodeeji | 3.5b | (3) | 3.0d | (3) | 3.7c | (5) | 3.5b | (5) | 3.8c | (4) | 3.7c | (4) | 3.3c | (3) | 1.7a | (1) | 4.3c | (5) | |
| Dageeji | 3.7b | (4) | 3.7c | (4) | 2.7a | (2) | 2.8a | (3) | 2.8a | (3) | 2.8a | (3) | 3.4c | (4) | 3.2b | (3) | 2.3ba | (2) | |
| Boboji | 4.7c | (5) | 4.9e | (5) | 2.8ab | (3) | 2.5a | (1) | 1.8d | (1) | 1.7d | (1) | 4.9d | (5) | 4.7c | (5) | 3.9c | (4) | |
| χ2 | 271.18 | 292.32 | 70.35 | 54.01 | 148.27 | 187.08 | 303.73 | 231.18 | 147.33 | ||||||||||
| P≤ | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | ||||||||||
| Tchaourou, Kandi and Sinendé | Yakanaji | 2.3bc | (2) | 2.4ab | (2) | 1.8a | (1) | 1.7a | (1) | 2.1ab | (2) | 1.6a | (1) | 2.3ab | (2) | 1.4b | (1) | 2.0ac | (2) |
| Gudali | 1.0c | (1) | 1.0b | (1) | 2.3a | (2) | 3.3ab | (4) | 4.5c | (5) | 4.7b | (5) | 4.2c | (4) | 4.4a | (5) | 4.0b | (4) | |
| Bodeeji | 2.8ab | (3) | 3.0a | (3) | 3.2ab | (4) | 2.5a | (2) | 3.0bc | (3) | 2.7ace | (3) | 3.0bc | (3) | 2.9ab | (3) | 3.2bc | (3) | |
| Djelliji | 4.8d | (5) | 4.8c | (5) | 4.9b | (5) | 4.8b | (5) | 4.4c | (4) | 3.6be | (4) | 4.3c | (5) | 3.5a | (4) | 4.4b | (5) | |
| Bargouji | 4.2ad | (4) | 3.9ac | (4) | 2.9a | (3) | 2.7a | (3) | 1.0a | (1) | 2.5ac | (2) | 1.2a | (1) | 2.8ab | (2) | 1.5a | (1) | |
| χ2 | 48.85 | 45.14 | 33.98 | 31.95 | 44.57 | 30.20 | 39.57 | 25.30 | 37.31 | ||||||||||
| P≤ | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | ||||||||||
| Boukombé | Djelliji | 1.0a | (1) | 1.0a | (1) | 1.6a | (2) | 2.0a | (2) | 1.9a | (2) | 2.0a | (2) | 1.4 | (1) | 1.1a | (1) | 2.0a | (2) |
| Somba | 1.9b | (2) | 2.0b | (2) | 1.4b | (1) | 1.1b | (1) | 1.1b | (1) | 1.0b | (1) | 1.5 | (2) | 2.0b | (2) | 1.0b | (1) | |
| χ2 | 116.03 | 100.83 | 6.64 | 96.21 | 85.95 | 120.00 | 0.74 | 97.20 | 120.00 | ||||||||||
| P≤ | 0.001 | 0.001 | 0.01 | 0.001 | 0.001 | 0.001 | 0.389 | 0.001 | 0.001 | ||||||||||
The values with a,b,c are the means rank; the lower the value, the higher is the rank of the breed for the given attribute.
a,b,cMeans in the same row are significantly different (P < 0.05), Friedman test.