Výsledky vyhledávání - "Andreomar Kurek"

Akademický článek

Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis.

Autor: Zhanyou Xu, Andreomar Kurek, Steven B Cannon, William D Beavis

Publikováno v: PLoS ONE, Vol 16, Iss 7, p e0240948 (2021)

In soybean variety development and genetic improvement projects, iron deficiency chlorosis (IDC) is visually assessed as an ordinal response variable. Linear Mixed Models for Genomic Prediction (GP) have been developed, compared, and used to select c

Externí odkaz: https://doaj.org/article/d09932bcc7aa4dac9b44723fcca3a9b8

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Algorithmic and data modeling: Will algorithmic modeling improve predictions of traits evaluated on ordinal scales?

Autor: Zhanyou Xu, Andreomar Kurek, Steven B. Cannon, Williams D. Beavis

Selection of markers linked to alleles at quantitative trait loci (QTL) for tolerance to Iron Deficiency Chlorosis (IDC) has not been successful. Genomic selection has been advocated for continuous numeric traits such as yield and plant height. For o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::81a2cd7d4d4b69720de5b3ec018bd7a9
https://doi.org/10.1101/2020.10.07.329466

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Phenotypic and genomic selection for multi-trait improvement in soybean line and variety development

Autor: Andreomar Kurek

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5600aebcbc80b53104603f0290542dbe
https://doi.org/10.31274/etd-180810-6025

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Understanding Soybean Maturity Groups in Brazil: Environment, Cultivar Classification, and Stability

Autor: Andreomar Kurek, Luís Cláudio Prado, Marcos Norio Matsumoto, Luis Fernando Alliprandini, Marco Antonio Rott de Oliveira, Claudiomir Abatti, Paulo Fernando Bertagnolli, Carlos Pitol, José Elzevir Cavassim, Howard Lewis Gabe, Cleiton Steckling

Publikováno v: Crop Science. 49:801-808

Maturity classifi cation is an important concept to provide the best allocation of resources for soybean [Glycine max (L.) Merr.] research and commercialization. A similar maturity group system used in North America is being used for some seed compan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b58f74bbac915e4c3852b7581b4aae22
https://doi.org/10.2135/cropsci2008.07.0390

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Capacidade combinatória como critério de eficiência na seleção de genitores em feijoeiro

Autor: Fernando Irajá Félix de Carvalho, Andreomar Kurek, Pedro Jacinto Cruz, Isidoro Carlos Assmann

Publikováno v: Pesquisa Agropecuária Brasileira, Vol 36, Iss 4, Pp 645-651 (2001)
Pesquisa Agropecuária Brasileira v.36 n.4 2001
Pesquisa Agropecuária Brasileira
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Pesquisa Agropecuária Brasileira, Volume: 36, Issue: 4, Pages: 645-651, Published: APR 2001

Este trabalho teve por objetivo estimar a capacidade geral de combinação (CGC) e a capacidade específica de combinação (CEC) dos caracteres componentes do rendimento do feijoeiro (Phaseolus vulgaris L.), através de cruzamentos dialélicos entre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2c2533d704854483ae164b8fcb3138e
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2001000400007&tlng=pt

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