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Sandra Helena Unêda-Trevisoli ; Antonio Sergio Ferraudo ; Antonio Orlando Di Mauro ;Revista Ciência Agronômica 2014, 45 3

Autor: Anderson Dallastra

Fuente: http://www.redalyc.org/


Introducción



Revista Ciência Agronômica ISSN: 0045-6888 ccarev@ufc.br Universidade Federal do Ceará Brasil Dallastra, Anderson; Unêda-Trevisoli, Sandra Helena; Ferraudo, Antonio Sergio; Di Mauro, Antonio Orlando Multivariate approach in the selection of superior soybean progeny which carry the RR gene Revista Ciência Agronômica, vol.
45, núm.
3, julio-septiembre, 2014, pp.
588-597 Universidade Federal do Ceará Ceará, Brasil Available in: http:--www.redalyc.org-articulo.oa?id=195330648021 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Revista Ciência Agronômica, v.
45, n.
3, p.
588-597, jul-set, 2014 Centro de Ciências Agrárias - Universidade Federal do Ceará, Fortaleza, CE www.ccarevista.ufc.br Artigo Científico ISSN 1806-6690 Multivariate approach in the selection of superior soybean progeny which carry the RR gene1 Abordagem multivariada na seleção de progênies de soja superiores e portadoras do gene RR Anderson Dallastra2*, Sandra Helena Unêda-Trevisoli2, Antonio Sergio Ferraudo3 e Antonio Orlando Di Mauro2 ABSTRACT - Efficiency in the use of genetic variability, whether existing or created, increases when properly explored and analysed.
Incorporation of biotechnology into breeding programs has been the general practice.
The challenge for the researcher is the constant development of new and improved cultivars.
The aim of this experiment was to select progenies with superior characteristics, whether or not carriers of the RR gene, derived from bi-parental crosses in the soybean, with the help of multivariate techniques.
The experiment was carried out in a family-type experimental design, including controls, during the agricultural year 2010-2011 and 2011-2012 in Jaboticabal in the Brazilian State of São Paulo.
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