Search

In this paper, I mainly analyzed the inclusion of environmental budget in climate change models. Considering Kemfert, Lise and Tol (2004)'s approach to show a formal model that puts together economic and climate issues, I analyzed the inclusion of environmental public spending and energy. I tried to show that countries' economic and physical structures establish different public spending, with different environmental impacts and consequences to another nations and that has strong influence on economic models. In relation to public spending, I considered, specifically, the Brazilian federal budget to Environmental Management from 2000 to 2006. In this article, I argue in defense of considering budget for environmental management in the discussion on climate change [ABSTRACT FROM AUTHOR]

Genotype × environment (GE) interaction can difficult soybean breeding programs to achieve the aim of more productive cultivars. Environment stratification is a way to circumvent this problem. However, multiyear data studies are difficult to work with, because they are, usually, unbalanced. GGE Biplot is an efficient method to find mega-environments, however, it allows for, at most, 30% of the unbalanced data. Thinking about how we could resolve this problem we came up with the idea of test a method that englobes GGE Biplot graphs, environment coincidence matrices and networks of environment. Wherefore, this work aimed to gather GGE Biplot graphs of a network of trials unbalance multiyear soybean via matrices of coincidence and networks of environment to optimize environmental stratification. Data from an experimental network of 43 trials was used, these experiments were implanted in 23 municipalities during the crop seasons of 2011/2012, 2012/2013, 2013/2014 and 2015/2016 in Brazil. The trials were implanted under an experimental block design with randomized treatments and approximately 30 genotypes were evaluated, of which most of these genotypes were not repeated between the trials evaluated. The GE interaction were statistically significant for all 43 trials. The step by step of our analyses was: GGE Biplots graphs were obtained; the environment coincidence matrices were calculated; the values of matrices were used to obtain the networks of environmental similarity. The study demonstrated that by the method was possible to identify, using unbalanced multiyear data, four mega-environments. The region under study can be represented by the municipalities of Palotina, Maracaju, Bela Vista do Paraíso and Rolândia. Therefore, integrating GGE Biplot graphs and networks of environmental similarity is an efficient method to optimize a soybean program by environment stratification. [ABSTRACT FROM AUTHOR]

Introduction: Migration is a natural phenomenon that includes annual movements of many bird species in response to seasonal cycles. With approximately one third of all living bird species, South America has an important avifauna, and many migrants land in Brazil at stopping points and wintering sites. Objective: To identify associations between migrant birds and coastal vegetation, and environmental influence of on migration. Methods: At 10 points along the coast of Piauí State, Brazil, we made visual censuses and mist net captures, between April 2009 and February 2016. Results: We identified 82 migrant bird species (13 orders; 28 families) that represented 41 intracontinental migrating species, 26 northern visiting species, 14 nomad species and one vagrant species. The richness peaks were at the beginning and end of both dry and rainy seasons, matching insolation and atmospheric pressure. There were spatial pattern differences among vegetation complexes. Chrysolampis mosquitus is an indicator of caatinga vegetation, Numenius phaeopus of wetland, Charadrius collaris of non-flooding fields, Rostrhamus sociabilis of forest-grassland transition, and Columbina picui of orchards. Despite differences in number and species composition within vegetation types, the temporal pattern in species richness was similar among flooded fields, non-flooded fields, and transition grassland categories. Conclusions: Migrant birds occupy specific environments during their permanence along the coast of Piauí State, with richness matching insolation and atmospheric pressure. [ABSTRACT FROM AUTHOR]

Late blight caused by the oomycete Phytophthora infestans is a destructive tomato disease in Brazil and in other tropical and subtropical regions. The purpose of the present study was to analyze the inheritance of resistance to late blight and determine the genetic factors that contribute to the resistance in the inbred line "163A". The Line "163A" resulted from an interspecific cross between Solanum lycopersicum and S. habrochaites f. glabratum, achieved by researchers at Universidade Federal de Viçosa. Inoculated field with mixture isolates of pathogen with 1000 spores mL-1 and naturally infested field trials showed that the expression of "163A" against multiple isolates of the pathogen was stable. The genetic analysis supported the hypothesis of two recessive genes that controlls the resistance. The scaling test of additive-dominance model showed that it is a good fit for the data, which confirms the absence or neglect of epistasis [ABSTRACT FROM AUTHOR]

Key message: A multiparental random mating population used in sorghum breeding is amenable for the detection of QTLs related to tropical soil adaptation, fine mapping of underlying genes and genomic selection approaches. Tropical soils where low phosphorus (P) and aluminum (Al) toxicity limit sorghum [Sorghum bicolor (L.) Moench] production are widespread in the developing world. We report on BRP13R, a multiparental random mating population (MP-RMP), which is commonly used in sorghum recurrent selection targeting tropical soil adaptation. Recombination dissipated much of BRP13R's likely original population structure and average linkage disequilibrium (LD) persisted up to 2.5 Mb, establishing BRP13R as a middle ground between biparental populations and sorghum association panels. Genome-wide association mapping (GWAS) identified conserved QTL from previous studies, such as for root morphology and grain yield under low-P, and indicated the importance of dominance in the genetic architecture of grain yield. By overlapping consensus QTL regions, we mapped two candidate P efficiency genes to a ~ 5 Mb region on chromosomes 6 (ALMT) and 9 (PHO2). Remarkably, we find that only 200 progeny genotyped with ~ 45,000 markers in BRP13R can lead to GWAS-based positional cloning of naturally rare, subpopulation-specific alleles, such as for SbMATE-conditioned Al tolerance. Genomic selection was found to be useful in such MP-RMP, particularly if markers in LD with major genes are fitted as fixed effects into GBLUP models accommodating dominance. Shifts in allele frequencies in progeny contrasting for grain yield indicated that intermediate to minor-effect genes on P efficiency, such as SbPSTOL1 genes, can be employed in pre-breeding via allele mining in the base population. Therefore, MP-RMPs such as BRP13R emerge as multipurpose resources for efficient gene discovery and deployment for breeding sorghum cultivars adapted to tropical soils. [ABSTRACT FROM AUTHOR]

The purpose of this study was to evaluate the performance potential of red bean lines, derived from populations of the first cycle of recurrent selection in the common bean breeding program of the Federal University of Viçosa, Minas Gerais. In the F3:5, F3:6 and F3:7 generations, 243 families from 18 segregating populations were evaluated. These families were conducted by the bulk-within-families method and from the best, 154 lines were obtained and evaluated in the dry season of 2006 (F7: 9) and of 2007 (F7: 10), Coimbra - MG. The estimates of genetic and phenotypic parameters revealed variability among families. The method bulk within F3-derived families proved useful for bean breeding. The most promising lines that may be included in future tests of value for cultivation and use (VCU), and will possibly be recommended for planting in the state of Minas Gerais, were derived from the populations Vermelhinho/AN9022180//Vermelhinho/Vermelho2157, Vermelhinho//Vermelhinho/ IAPAR81,Vermelhinho/LR720982// Vermelhinho/AB136 and Vermelhinho/AB136//Vermelhinho/ Vermelho2157. [ABSTRACT FROM AUTHOR]

The casqued-headed tree frog Trachycephalus atlas Bokermann, 1966 is recorded for the first time in the municipality of Jati, southern region of Ceará state, northeastern Brazil, extending in 72 km east the previous known geographic distribution of this species. An updated geographic distribution map of T. atlas is provided. [ABSTRACT FROM AUTHOR]