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Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes

Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ece93915b26b4dac947cd5c22aa777f4

Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes

About this item

Full title

Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes

Publisher

Vicosa: Crop Breeding and Applied Biotechnology

Journal title

Crop breeding and applied biotechnology, 2013-07, Vol.13 (2), p.152-156

Language

English

Formats

Publication information

Publisher

Vicosa: Crop Breeding and Applied Biotechnology

More information

Scope and Contents

Contents

The purpose of this work was to evaluate a methodology of adaptability and phenotypic stability of alfalfa genotypes based on the training of an artificial neural network considering the methodology of Eberhart and Russell. Data from an experiment on dry matter production of 92 alfalfa genotypes (Medicago sativa L.) were used. The experimental desi...

Alternative Titles

Full title

Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ece93915b26b4dac947cd5c22aa777f4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ece93915b26b4dac947cd5c22aa777f4

Other Identifiers

ISSN

1984-7033,1518-7853

E-ISSN

1984-7033

DOI

10.1590/S1984-70332013000200008

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