SummaryAphelenchoides pseudogoodeyi has recently been reported in association with seeds of forage grasses and rice in Brazil and senescent strawberry plants, in the United States. This nematode is likely a mycophagous species; however, so far, its pathogenicity potential to plants is unclear. This study aimed to verify the pathogenicity of A. pseudogoodeyi to two species of ornamental plants. The experiments were conducted by inoculating A. pseudogoodeyi onto Bird’s-Nest Fern (Asplenium nidus) and Oriental Lily (Lilium speciosum) leaves, using two inoculation methods (with and without injury). After 40 days of inoculation (DAI) in Bird’s-Nest Fern and 5, 10, 20 and 40 DAI in Oriental Lily, the pathogenicity and the host efficiency were evaluated by symptoms observation and by severity, final nematode population and reproductive factor (RF), respectively. Additionally, a histopathological study was performed by inoculating A. pseudogoodeyi onto Bird’s-Nest Fern for observing anatomical alterations. A. pseudogoodeyi was able to cause local necrotic lesions on both Bird’s-Nest Fern and Oriental Lily leaves. However, the presence of injury was essential to enable A. pseudogoodeyi to penetrate and cause those symptoms in both plant species. Also, the total population of A. pseudogoodeyi decreased drastically over time and RF was <1, which characterized these species as poor-host or resistant plants. A. pseudogoodeyi penetrated into the foliar tissue and induced a total destruction of the mesophyll and collapse of the cells, with the formation of large intercellular spaces. It is concluded that A. pseudogoodeyi is an opportunistic pathogen as injury was required to induce symptoms in Bird’s-Nest Fern and Oriental Lily.

Moreira. 2011. Optimal subdivision of land in agrarian reform projects: an analysis using genetic algorithms. Cien. Inv. Agr. 38(2): 169-178. The objective of this manuscript is to develop a new procedure to achieve optimal land subdivision using genetic algorithms (GA). The genetic algorithm was tested in the rural settlement of Veredas, located in Minas Gerais, Brazil. This implementation was based on the land aptitude and its productivity index. The sequence of tests in the study was carried out in two areas with eight different agricultural aptitude classes, including one area of 391.88 ha subdivided into 12 lots and another of 404.1763 ha subdivided into 14 lots. The effectiveness of the method was measured using the shunting line standard value of a parceled area lot's productivity index. To evaluate each parameter, a sequence of 15 calculations was performed to record the best individual fitness average (MMI) found for each parameter variation. The best parameter combination found in testing and used to generate the new parceling with the GA was the following: 320 as the generation number, a population of 40 individuals, 0.8 mutation tax, and a 0.3 renewal tax. The solution generated rather homogeneous lots in terms of productive capacity.

A definição das parcelas familiares em projetos de reforma agrária envolve questões técnicas e sociais. Essas questões estão associadas principalmente às diferentes aptidões agrícolas do solo nestes projetos. O objetivo deste trabalho foi apresentar método para realizar o processo de ordenamento territorial em assentamentos de reforma agrária empregando Algoritmo Genético (AG). O AG foi testado no Projeto de Assentamento Veredas, em Minas Gerais, e implementado com base no sistema de aptidão agrícola das terras.