Effect of Cocoa ( Theobroma cacao ) Plantation Types on the Distribution of Anuran Communities in Ore, Ondo State, Nigeria

Anuran species diversity and abundance were evaluated in different farming status of cocoa plantation in Ore, Ondo State, Nigeria. Applying the combination of visual encounter survey (VES) and acoustical survey (AES), the different farms surveyed were categorized as; 1) pure cocoa farms with pesticides applied (PCWP); 2) pure cocoa farms without pesticides application; 3) intercropped cocoa farms with pesticides applied (ICWP); and 4) intercropped cocoa farms without pesticides application (ICNP). The surrounding primary/secondary forest (PSFV) was sampled applying the transect method. A mean total of 690±2.6 anurans belonging to 28 species, 14 genera and 9 families were recorded during the study. Out of these, 10, 19, 17, 22 and 26 species were recorded respectively from PCWP, PCNP, ICWP, ICNP and PSFV. The anuran species richness was significantly different between the different cocoa plantation status and the forest sites (F4, 10 = 20.55, P< 0.01). The highest mean number of individuals (190±9.5) was observed at ICNP followed by PSFV (183±5.7), while the least was at PCWP (77±8.0). There was also significant difference (F4, 10 = 150.48, P< 0.01) between the abundance of anuran species at the various sites. Diversity indices (Shannon and Margalef) showed that the forest sites had the greatest (3.204 and 4.799) respectively while the pesticide using pure cocoa farms had the least (1.853 and 2.072). Generally, the result of the study clearly indicated that pesticide use cocoa farms were significantly lower compared to other sites. Farmers are encouraged to engage in intercropping (polyculture) especially with food and economic crops in a biodiversity friendly manner which could have similar characteristics of a natural ecosystem, thereby enhancing the biological diversity of agro-ecosystems.

COMPOSIÇÃO FLORÍSTICO-ESTRUTURAL AO LONGO DE UM GRADIENTE DE BORDA EM FRAGMENTO DE FLORESTA OMBRÓFILA MISTA ALTO-MONTANA EM SANTA CATARINA

O objetivo desse estudo foi caracterizar a composição florística e a estrutura do componente arbóreo em fragmento de Floresta Ombrófila Mista Alto-Montana e avaliar a influência do efeito de borda sobre a organização, estrutura, riqueza e diversidade de espécies. Foram alocadas 50 parcelas permanentes de 10 x 20 m, divididas em cinco transeções distanciadas, no mínimo, 100 m entre si, em um fragmento florestal, no município de Bom Jardim da Serra - SC. As árvores com circunferência ≥ 15,7 cm na altura do peito (CAP) foram mensuradas (CAP e altura total), identificadas e classificadas quanto às guildas de regeneração (pioneiras, climácicas exigentes em luz e climácicas tolerantes à sombra). Os dados foram analisados por meio dos índices de valor de importância (IVI), NMDS (Nonmetric Multidimensional Scaling), modelo aditivo generalizado e regressões lineares simples. Foram observados 1.457 indivíduos arbóreos, distribuídos em 29 famílias, 43 gêneros e 55 espécies. A espécie com maior valor de importância foi Dicksonia sellowiana Hook. Não foi observada influência do efeito de borda sobre a organização, a estrutura (diâmetro médio, altura média e densidade) da comunidade e participação relativa das guildas de regeneração. No entanto, ficaram evidenciados maiores valores de diversidade, riqueza e equabilidade nas áreas de borda. Desta forma, concluí-se que parte das variações dos valores relativos à diversidade de espécies arbóreas na Floresta Ombrófila Mista Ato-Montana foi determinada pela distância da borda.

Diversity and path coefficient analysis of Southern African maize hybrids

Detailed knowledge on genetic diversity among germplasm is important for hybrid maize ( Zea mays L.) breeding. The objective of the study was to determine genetic diversity in widely grown hybrids in Southern Africa, and compare effectiveness of phenotypic analysis models for determining genetic distances between hybrids. Fifty hybrids were evaluated at one site with two replicates. The experiment was a randomized complete block design. Phenotypic and genotypic data were analyzed using SAS and Power Marker respectively. There was significant (p < 0.01) variation and diversity among hybrid brands but small within brand clusters. Polymorphic Information Content (PIC) ranged from 0.07 to 0.38 with an average of 0.34 and genetic distance ranged from 0.08 to 0.50 with an average of 0.43. SAH23 and SAH21 (0.48) and SAH33 and SAH3 (0.47) were the most distantly related hybrids. Both single nucleotide polymorphism (SNP) markers and phenotypic data models were effective for discriminating genotypes according to genetic distance. SNP markers revealed nine clusters of hybrids. The 12-trait phenotypic analysis model, revealed eight clusters at 85%, while the five-trait model revealed six clusters. Path analysis revealed significant direct and indirect effects of secondary traits on yield. Plant height and ear height were negatively correlated with grain yield meaning shorter hybrids gave high yield. Ear weight, days to anthesis, and number of ears had highest positive direct effects on yield. These traits can provide good selection index for high yielding maize hybrids. Results confirmed that diversity of hybrids is small within brands and also confirm that phenotypic trait models are effective for discriminating hybrids.