Forest Biodiversity Assessment in Peruvian Andean Montane Cloud Forest

Cloud forests are unusual and fragile habitats, being one of the least studied and least understood ecosystems. The tropical Andean dominion is considered one of the most significant places in the world as rega rds biological diversity, with a very high level of endemism. The biodiversity was analysed in an isolated remnant area of a tropical montane cloud forest known as the ?Bosque de Neblina de Cuyas?, in the North of the Peruvian Andean range. Composition, structure and dead wood were measured or estimated. The values obtained were compared with other cloud forests. The study revealed a high level of forest biodiversity, although the level of biodiversity differs from one area to another: in the inner areas, where human pressure is almost inexistent, the biodiversity values increase. The high species richness and the low dominance among species bear testimony to this montane cloud forest as a real enclave of biodiversity

AMMI analysis to evaluate the adaptability and phenotypic stability of sugarcane genotypes

Sugarcane (Saccharum sp.) is one of the most important crops in Brazil. The high demand for sugarcane-derived products has stimulated the expansion of sugarcane cultivation in recent years, exploring different environments. The adaptability and the phenotypic stability of sugarcane genotypes in the Minas Gerais state, Brazil, were evaluated based on the additive main effects and multiplicative interaction (AMMI) method. We evaluated 15 genotypes (13 clones and two checks: RB867515 and RB72454) in nine environments. The average of two cuttings for the variable tons of pol per hectare (TPH) measure was used to discriminate genotypes. Besides the check RB867515 (20.44 t ha-1), the genotype RB987935 showed a high average TPH (20.71 t ha-1), general adaptability and phenotypic stability, and should be suitable for cultivation in the target region. The AMMI method allowed for easy visual identification of superior genotypes for each set of environments

Multivariate Analysis of Ecological Communities

viii,206 hal,;ill,;21 c

Designs for interference in crop experiments

International audienc

Designs for interference in crop experiments

International audienc

Designs for interference

International audienceTreatments are often assessed in small experimental units to economize on resources. Treatment differences for the large units used in practice may then be poorly estimated because of interference. Using prior information on treatments, designs are proposed which control interference by ensuring that treatments in neighboring units are similar. Interference may then be ignored in the analysis. Two types of designs are considered: block designs which are based on the concurrence of treatments in the same block, and neighbor designs which take account of the concurrence of treatments in adjacent units