Assessing Prediction Models for Different Traits in a Rice Population Derived from a Recurrent Selection Program-Reference-Cited by-同舟云学术

Assessing Prediction Models for Different Traits in a Rice Population Derived from a Recurrent Selection Program

Published:2018-09-27 Issue:6 Volume:58 Page:2347-2359
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Sci.

Author:

Morais Odilon P.¹,Breseghello Flávio²,Duarte João Batista¹,Coelho Alexandre S. G.¹,Borba Tereza C. O.²,Aguiar Jordene T.³,Neves Péricles C. F.²,Morais Orlando P.²

Affiliation:

1. Dep. of Genetics and Plant Breeding, Escola de AgronomiaFederal Univ. of Goiás Campus Samambaia, Ave. Esperança, s/n, CEP 74690-900 Goiânia Goiás Brazil

2. Embrapa Arroz e Feijão Rodovia GO‐462, km 12, CP 179, CEP 75375‐000 Santo Antônio de Goiás, Goiás Brazil

3. Dep. of Animal Science, Escola de Medicina Veterinária e ZootecniaFederal Univ. of Tocantins BR 153, km 112, CP 132, CEP 77800-000 Araguaína, Tocantins Brazil

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2135/cropsci2018.02.0087

Reference70 articles.

1. Genomewide Selection with Minimal Crossing in Self-Pollinated Crops

2. Accuracy of breeding values when using and ignoring the polygenic effect in genomic breeding value estimation with a marker density of one SNP per cM

3. Pike, a rice blast resistance allele consisting of two adjacent NBS–LRR genes, was identified as a novel allele at the Pik Locus;Chen J.;Mol. Breed.,2015

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