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Journal Article 2017-05-22

Autor: Abdulmalik, R.O. Menkir, A. Meseka, S.K. Unachukwu, N.N. Ado, S.G. Olarewaju, J.D. Aba, D.A. Hearne, S. Crossa, J. Gedil, M.

Marker-assisted recurrent selection (MARS) is a breeding method used to accumulate favorable alleles that for example confer tolerance to drought in inbred lines from several genomic regions within a single population. A bi-parental cross formed from two parents that combine resistance to Striga ...

Enlace original: https://cgspace.cgiar.org/handle/10568/82566

Investigación en Agricultura
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Abdulmalik, R.O. ,  Menkir, A. ,  Meseka, S.K. ,  Unachukwu, N.N. ,  Ado, S.G. ,  Olarewaju, J.D. ,  Aba, D.A. ,  Hearne, S. ,  Crossa, J. ,  Gedil, M. ,  [Genetic gains in grain yield of a maize population improved through marker assisted recurrent selection under stress and non-stress conditions in west Africa] ,  Genetic gains in grain yield of a maize population improved through marker assisted recurrent selection under stress and non-stress conditions in west Africa
Journal Article 2017-05-17

Autor: Bankole, F. Menkir, A. Olaoye, G. Crossa, J. Hearne, S. Unachukwu, N.N. Gedil, M.

The objective of marker assisted recurrent selection (MARS) is to increase the frequency of favorable marker alleles in a population before inbred line extraction. This approach was used to improve drought tolerance and grain yield (GY) in a biparental cross of two elite drought tolerant lines. T...

Enlace original: https://cgspace.cgiar.org/handle/10568/82568

Investigación en Agricultura
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Bankole, F. ,  Menkir, A. ,  Olaoye, G. ,  Crossa, J. ,  Hearne, S. ,  Unachukwu, N.N. ,  Gedil, M. ,  [Genetic gains in yield and yield related traits under drought stress and favorable environments in a maize population improved using marker assisted recurrent selection] ,  Genetic gains in yield and yield related traits under drought stress and favorable environments in a maize population improved using marker assisted recurrent selection
Journal Article 2010-01

Autor: Franco, J. Crossa, J. Desphande, S.

A numerical classification problem encountered by breeders and gene-bank curators is how to partition the original heterogeneous population of genotypes into non-overlapping homogeneous subpopulations. The measure of distance that may be defined depends on the type of variables measured (i.e., co...

Enlace original: https://cgspace.cgiar.org/handle/10568/92353

Investigación en Agricultura
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Franco, J. ,  Crossa, J. ,  Desphande, S. ,  [Hierarchical multiple-factor analysis for classifying genotypes based on phenotypic and genetic data] ,  Hierarchical multiple-factor analysis for classifying genotypes based on phenotypic and genetic data

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