Reaction of wild solanaceae species to Meloidogyne incognita

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Abstract

ABSTRACT The quest for resistance sources against Meloidogyne incognita as a control measure is essential in tomato. Thus, this study aimed to evaluate the reaction of six species of wild solanaceae to M. incognita. The species of wild solanaceae studied were Solanum capsicoides, S. asperolanatum, S. americanum, S. viarum, S. palinacanthum and Nicandra physaloides. Seedlings of wild solanaceae species were transplanted and inoculated with M. incognita. The experiment was performed in a completely randomized design with eight replicates. The analyzed variables were: height of the aerial portion, fresh weight of the aerial portion, fresh weight and length of the root system, gall index, number of galls/g of root, number of egg masses/g of root, number of eggs/g of root and the nematode reproduction factor. Based on gall index and reproduction factor criteria the species S. capsicoides, S. americanum, S. palinacanthum and N. physaloides were classified as resistant against M. incognita. These species also showed a significant increase in height and fresh weight of the aerial portion, length of the root system and fresh weight of the root system. Therefore, these species of wild solanaceae may contribute to the management of M. incognita in future applications.

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Is Open Access

Genes Software - extended and integrated with the R, Matlab and Selegen

Cosme Damião Cruz (2016)

ABSTRACT. The Genes Software is useful for analyzing and processing phenotypic and molecular data using different biometric models. In the current version we dispose routines to integrate it with three other softwares: the R, Matlab and Selegen. This version allows in plant and animal breeding complementary analyzes in several breeding research fields as genomic selection, prediction of genetic values, use of neural networks and Fuzzy logic. The Genes is important to estimate parameters for understanding biological phenomena necessary to make decisions and predict the success and viability of strategic selection. The original programme can be downloaded in Portuguese, English or Spanish with the specific literature from (http://www.livraria.ufv.br/) and the user guide from (http://www.ufv.br/dbg/genes/genes.htm and http://www.ufv.br/dbg/biodata.htm). The user has also support in the address www.facebook.com/ GenesNews. The Genes is also integrated in the application softwares MS Word, MS Excel and Paint to efficiently import data and export results as numbers and figures.