SciELO - Scientific Electronic Library Online

vol.4 número1El comportamiento poscosecha de frutos de aguacate ‘Hass' es influenciado por el portainjertoViabilidad económica y ambiental de policultivos de hule, café y cacao índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados




Links relacionados

  • Não possue artigos similaresSimilares em SciELO


Revista mexicana de ciencias agrícolas

versão impressa ISSN 2007-0934


MONTESINOS-LOPEZ, Osval Antonio; MONTESINOS-LOPEZ, Abelardo; LUNA-ESPINOZA, Ignacio  e  MONTESINOS-LOPEZ, Jesús Erasmo. Sample size for estimating gene expression of transgenic plants using group tests. Rev. Mex. Cienc. Agríc [online]. 2013, vol.4, n.1, pp.33-47. ISSN 2007-0934.

In the south-east and west-center of Mexico, the presence of transgenic maize has been detected (GM), even though the effects of cross-pollination between this maize and landraces such as Tripsacum and teosinte are unknown so far. It is therefore necessary to detect the presence of transgenic plants and to estimate the average gene expression of transgenes in regular crops. However, an analysis of each and every one of the plants would consume a lot of time and money as well. An alternative to reduce costs is to use test groups. This technique analyzes groups that possess tissues of several plants without individually inspecting them, keeping acceptable levels of accuracy at a lower cost. When a test group is used to estimate the average genetic expression it is important to determine the sample size and the number of groups for the estimation process. In this context and under conditions of normality, this paper presents two procedures, computational and analytical, for estimating the average gene expression of GM maize, providing examples to show the application of the proposed methods. Additionally, through simulation we reproduced several circumstances that a researcher might find, providing a computational algorithm in the statistical program R (R Development Core Team 2007) to create other scenarios. Both procedures ensure that, W confidence interval amplitude is lower or equal to the desired amplitude ω with γ probability. This is achieved because both methods consider the randomness of the sampling variance. However, we recommend the use of the formula proposed and analytical procedure, because it is accurate and easy to use.

Palavras-chave : confidence interval; average gene expression; normality.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )


Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons