Modeling spatial trends and enhancing genetic selection: An approach to soybean seed composition breeding-Reference-Cited by-同舟云学术

Modeling spatial trends and enhancing genetic selection: An approach to soybean seed composition breeding

Published:2021-03 Issue:2 Volume:61 Page:976-988
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Sci.

Author:

Bernardeli Arthur¹^ORCID,Rocha João Romero Amaral Santos de Carvalho²,Borém Aluízio¹,Lorenzoni Rodrigo³,Aguiar Rafael³,Silva Jéssica Nayara Basílio³,Bueno Rafael Delmond³,Alves Rodrigo Silva²,Jarquin Diego⁴,Ribeiro Cleberson²,Lamas Costa Maximiller Dal‐Bianco³

Affiliation:

1. Department of Agronomy Universidade Federal de Viçosa Viçosa MG 36570900 Brazil

2. Department of Biology Universidade Federal de Viçosa Viçosa MG 36570900 Brazil

3. Department of Biochemistry and Molecular Biology Universidade Federal de Viçosa Viçosa MG 36570900 Brazil

4. Department of Agronomy and Horticulture University of Nebraska‐Lincoln Lincoln NE 68583 USA

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20364

Reference50 articles.

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4. Analysis of early tree height in forest genetic trials is enhanced by including a spatially correlated residual;Costa J.;Canadian Journal of Forest Research,2001

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