2002Crop Breeding and Applied BiotechnologyOpen access

Predicted and realized gains of different selection strategies in soybean populations: a comparative study

Edésio Fialho dos Reis, M.S. Reis, Claudinei da Cruz, Tuneo Sediyama, R.C. Teixeira

Open full text 3 citations

Abstract

Submitted by Liliane Ferreira (ljuvencia30@gmail.com) on 2020-02-20T14:29:33Z No. of bitstreams: 2 Artigo - Edésio Fialho dos Reis - 2002.pdf: 245636 bytes, checksum: eca0285906a110ca7bd07bdee5c3ec85 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)

About this research paper

What this paper is about

Submitted by Liliane Ferreira (ljuvencia30@gmail.com) on 2020-02-20T14:29:33Z No. of bitstreams: 2 Artigo - Edésio Fialho dos Reis - 2002.pdf: 245636 bytes, checksum: eca0285906a110ca7bd07bdee5c3ec85 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Submitted by Liliane Ferreira (ljuvencia30@gmail.com) on 2020-02-20T14:29:33Z No. of bitstreams: 2 Artigo - Edésio Fialho dos Reis - 2002.pdf: 245636 bytes, checksum: eca0285906a110ca7bd07bdee5c3ec85 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)

Key concepts: Biology, Selection (genetic algorithm), Biotechnology, Genomic selection, Agronomy, Genotype, Genetics, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Predicted and realized gains of different selection strategies in soybean populations: a comparative study — Research Paper | ScholarLens