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Thirty soybean [Glycine max (L.) Merr.] genotypes, along with three checks, were evaluated over three seasons across five communes in Benin. The experiments were laid out in an alpha lattice design with three replicates. Additive multiplicative mean interaction (AMMI) and best linear unbiased predictor (BLUP) analysis were combined to assess differential agronomic performance and yield stability among genotypes. There was significant variation (p < 0.001) between genotypes for all traits, with highly significant environmental and genotype × environment interaction (GEI) effects on soybean grain yield (p < 0.001). The likelihood ratio test indicated that both genotype and interaction effects were highly significant (p < 0.001). The low R² (0.21) for GEI reflected the presence of high residual variation in the GEI component, in contrast to the AMMI analysis of variance, which explained a high proportion of the GEI through the first two interaction principal component axes (52%). The very high value of the predictive accuracy (0.89) confirmed the model’s reliability in selecting superior genotypes. The low (0.33) genotypic correlation between environments indicated that it was difficult to select superior genotypes for each environment. Based on the superiority index (weighted average absolute scores from BLUP for yield) of BLUP, simultaneous selection led to the identification of Jenguma 2.67 ± 0.06 t ha−1 as the most stable and productive genotype across environments, followed by Favour 2.34 ± 0.08 t ha−1, and Afayak 2.46 ± 0.08 t ha−1. The agronomic performance of soybean in this study suggested great potential for diversifying cotton-based cropping systems in Benin, thereby improving their sustainability. The effect of these soybean genotypes on the productivity of intercrop combinations and sequences of cash crops, such as cotton, is yet to be investigated. [ABSTRACT FROM AUTHOR]

Background and Research Aims: The bushmeat trade is one of the main drivers of faunal extinction in tropical Africa. We assess the profitability of the bushmeat trade along the commodity chain in southern Benin and study the perceptions of the actors on the profitability of the trade. Methods : Data were collected through direct interviews. A total of 120 bushmeat trade actors were interviewed in southern Benin. Economic and financial indicators were estimated and compared using descriptive statistics. Factors affecting the actors' perception of wild animal hunting, trading or supply sustainability were assessed using binary logit. Results and discussion : A total of 15 species were traded along the bushmeat commodity chain in southern Benin. During the dry season, hunters' gross product is higher because of greater hunting effort, and traders earn more commercial margin. Throughout the chain of actors, bushmeat trade profitability is seen as positively affected by the number of hunters per household and the availability of large preys (hunters), household size (sellers) and monthly income (consumers); whereas negative factors affecting profitability are distance from hunting sites (hunters), supply issues (sellers) and the cost of the meat (consumers). Both hunters and consumers see hunting and trade regulation measures as negatively impacting bushmeat profitability. Conclusion and implications for conservation : The perception of profitability by bushmeat commodity chain actors in southern Benin is conditioned by a set of socio-economic factors that should be considered in national conservation policies and development programs to keep bushmeat hunting profitable and sustainable. [ABSTRACT FROM AUTHOR]

Effectiveness of Balanites aegyptiaca conservation and sustainable exploitation requires a better knowledge of the intrinsic environmental factors linked with its current and future geographic distribution. This study aimed to map suitable areas for the conservation and domestication of B. aegyptiaca under present‐day and future climate conditions in Benin. A total of 424 occurrence records of B. aegyptiaca were combined with the environmental variables of two climatic scenarios (optimistic RCP 4.5 and pessimistic RCP 8.5) following the biodiversity modeling approach (biomod2). Findings were that under current and future climate conditions (RCP 4.5 and 8.5), almost one‐third of the country's area (protected and non‐protected areas), mainly located in the semiarid zone, presents a high probability of suitable areas for the conservation and domestication of B. aegyptiaca by 2055 time horizon. Exceptionally, a fine portion of medium suitable area for its distribution was found in the coastal area. Whatever the future climatic scenarios, a probable potential extension of the suitable areas (2.52% for RCP 4.5 and 0.43% for RCP 8.5) will be noted, thus emphasizing a positive impact of climate changes on the species. These findings are timely and could be used for setting appropriate management policies targeting the species in Benin. [ABSTRACT FROM AUTHOR]

Copyright of African Journal of Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Afzelia africana Sm. ex Pers. is an African endangered tree species whose natural populations are declining severely because of human pressure through logging, fodder, and fuel harvesting. Despite the importance of molecular ecology in these decades, no information regarding population genetics is available to motivate the conservation of this tree species in Benin. This study was then carried out to assess the genetic diversity and population structure of A. afrcana from different zones by SSR markers analysis to infer conservation implications. Two hundred sixty-four split into twenty-six populations were sampled in the three climatic zones and genotyped at 11 SSR loci measuring genetic diversity and population structure analysis. High levels of genetic diversity were found over the three zones. Mean values of observed/expected heterozygosities ranged from 0.81 to 0.88 and from 0.75 to 0.77, respectively. The pattern of population structure revealed by SSR loci indicated three gene pools in North-West, North-East, and South Benin. The population of the Sudano-Guinean zone exchanges gene with the other zones. We observed a weak but statistically significant genetic differentiation among geographical zones regarding the values of Fst (Value = 0.028; p = 0.001). Significant isolation by distance was obtained with the Mantel test. The observed pattern of population and genetic diversity by SSR loci offers useful insights to guide sustainable management and conservation decision of A. africana populations in different climatic zones of Benin. [ABSTRACT FROM AUTHOR]

Copyright of African Crop Science Journal is the property of African Crop Science Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of African Crop Science Journal is the property of African Crop Science Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)