Thermal favorability for the Oidium caricae and Asperisporium caricae in areas of edaphoclimatic aptitude for the Carica papaya.

Objective this study aimed to determine the thermal favorability for the oidium (Oidium caricae) and early blight (Asperisporium caricae) in areas of edaphoclimatic aptitude for the papaya (Carica papaya) in the Espírito Santo state, Brazil. The edaphoclimatic zoning was based on the overlapping of maps that characterize the average annual air temperature obtained by multiple linear regression, annual water deficiency calculated by the Thornthwaite and Matter method (1955) and favorable soil classes to the development of papaya. The results indicated that as regards the edaphoclimatic zoning for the papaya crop it was observed that 71.70% of the area is classified as apt for its development. In relation to agrometeorological favorability for the occurrence of fungal diseases, there was a favorability of 7.64% for the development without restrictions of the oidium and a predominance of 64,56% of favorability with thermal restriction. For the early blight fungus, it was observed that the zones of favorability without restriction correspond to 11.66% of the area apt for the papaya cultivation and that 55.13% of the area has favorability with restriction of humidity. The edaphoclimatic zoning for the papaya crop showed compatibility with the most productive areas of this crop in the state of Espírito Santo. The zoning of thermal favorability for the occurrence of papaya fungal diseases proved to be a valuable tool for studies of plant diseases, allowing the establishment of plans for the allocation of resistant varieties, in order to minimize the risks of loss of crop productivity due to the disease. This methodology presents potential to be used in other areas, cultures and phytopathological diseases.

Wastewater from swine farming in the growth and nutrition of Khaya senegalensis (DESR. ) A Juss seedlings / Água residuária da suinocultura no crescimento e nutrição de mudas de khaya senegalensis (DESR. ) a juss

This study evaluated the use of wastewater from swine farming in the growth and nutritional balance of Khaya senegalensis (Desr.) A. Juss. (African mahogany) seedlings. The experiment was setup in a shade house on the Professor Cinobelina Elvas Campus of the Federal University of Piauí, in Bom Jesus, in the State of Piauí, Brazil. The experimental design was completely randomised, with five concentrations of swine farm wastewater (SFW) (0, 25, 50, 75 and 100%) added to the irrigation water. The growth and nutritional balance of the seedlings were evaluated 100 days after sowing, by measuring shoot height (H), stem diameter (SD), number of leaves (NL), total chlorophyll (TC), leaf area (LA), shoot dry weight (SDW) and root dry weight (RDW), and by calculating the total dry weight (TDW), leaf (LBA), stem (SBA), and root (RBA) biomass allocation, Dickson Quality Index (DQI) and average Nutritional Balance Index (NBIm). It was found that K. senegalensis seedlings responded to the SFW, showing the best results for growth and nutritional balance at concentrations of around 50%.

Este trabalho foi realizado com o objetivo de avaliar a utilização da água residuária da suinocultura no crescimento e no balanço nutricional de mudas de Khaya senegalensis (Desr.) A. Juss. (mogno-africano). O experimento foi instalado no Campus Profa. Cinobelina Elvas, Universidade Federal do Piauí, em Bom Jesus, PI, dentro de uma casa de sombra. O experimento foi implantado em delineamento inteiramentecasualizado, com cinco concentrações de água residuária de suinocultura (ARS) (0; 25; 50; 75 e 100%) na água de irrigação. O crescimento e balanço nutricional das mudas foram avaliados aos 100 dias após a semeadura, com a mensuração da altura da parte aérea (H), diâmetro do coleto (DC), número de folhas (NF), clorofila total (CT), área foliar (AF), massa seca da parte aérea (MSPA) e do sistema radicular (MSR) e calculadas a massa seca total (MST), as alocações de biomassa foliar (ABF), caule (ABC), raízes (ABR), o Índice de Qualidade de Dickson (IQD) e Índice de Balanço Nutricional médio (IBNm). Constatou-se que a as mudas de K. senegalensis responderam à ARS, apresentando os melhores resultados de crescimento e equilíbrio nutricional em concentrações em torno de 50%.

Computational techniques applied to volume and biomass estimation of trees in Brazilian savanna.

The Brazilian Savannah, known as Cerrado, has the richest flora in the world among the savannas, with a high degree of endemic species. Despite the global ecological importance of the Cerrado, there are few studies focused on the modeling of the volume and biomass of this forest formation. Volume and biomass estimation can be performed using allometric models, artificial intelligence (AI) techniques and mixed regression models. Thus, the aim of this work was to evaluate the use of AI techniques and mixed models to estimate the volume and biomass of individual trees in vegetation of Brazilian central savanna. Numerical variables (diameter at height of 1.30 m of ground, total height, volume and biomass) and categorical variables (species) were used for the training and fitting of AI techniques and mixed models, respectively. The statistical indicators used to evaluate the training and the adjustment were the correlation coefficient, bias and Root mean square error relative. In addition, graphs were elaborated as complementary analysis. The results obtained by the statistical indicators and the graphical analysis show the great potential of AI techniques and mixed models in the estimation of volume and biomass of individual trees in Brazilian savanna vegetation. In addition, the proposed methodologies can be adapted to other biomes, forest typologies and variables of interest.