Efficiency of indirect selection for green biomass production of Urochloa ruziziensis

被引：2

作者：

Dias, Juliana Andrade ^{[1
]}

Rosado, Lucas Rodrigues ^{[1
]}

Benites, Flavio ^{[2
]}

Sobrinho, Fausto Souza ^{[2
]}

Rodrigues Nunes, Jose Airton ^{[1
]}

Avelar Goncalves, Flavia Maria ^{[1
]}

机构：

[1] Univ Fed Lavras, Av Cent S-N,Campus Univ, BR-37200000 Lavras, MG, Brazil

[2] Embrapa Gado Leite, Av Eugenio do Nascimento 610, BR-36038330 Juiz De Fora, MG, Brazil

来源：

CROP BREEDING AND APPLIED BIOTECHNOLOGY | 2022年 / 22卷 / 02期

关键词：

Brachiaria ruziziensis; visual selection; mixed models; accuracy; STATISTICAL-METHODS; YIELD;

D O I：

10.1590/1984-70332022v22n2a22

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

We aimed to measure the efficiency of visual selection of plant vigor for green biomass production of U. ruziziensis using single- and multitrait approaches to maximize the predictive accuracy of the genetic value. The green biomass production and plant vigor of 254 U. ruziziensis clones were measured over nine evaluation cuttings to determine the efficiency of these approaches for production improvement. Individual and multicutting analyses were performed under single-trait and multitrait approaches using mixed models. The efficiency of visual selection was assessed by measuring plant vigor based on direct and indirect genetic gains. Plant vigor showed a high genetic association with green biomass and could be selected for production, especially in the initial phases of breeding programs. The multitrait approach was superior to the single-trait approach in predicting the genetic value of the clones, and it can be used in U. ruziziensis breeding programs.

引用

页数：8

共 35 条

[1] Almeida Filho JE, 2016, GENET MOL RES, V15, P1, DOI DOI 10.4238/GMR.15017071
[2] Multiple-trait BLUP: a suitable strategy for genetic selection of Eucalyptus
Alves, Rodrigo Silva
Santos de Carvalho Rocha, Joao Romero do Amaral
Teodoro, Paulo Eduardo
Vilela de Resende, Marcos Deon
Henriques, Eduardo Pinheiro
Silva, Lidiane Aparecida
Souza Carneiro, Pedro Crescencio
Bhering, Leonardo Lopes
[J]. TREE GENETICS & GENOMES, 2018, 14 (05)
[3] Statistical modeling implications for coffee progenies selection
Andrade, Vinicius T.
Goncalves, Flavia M. A.
Nunes, Jose Airton R.
Botelho, Cesar E.
[J]. EUPHYTICA, 2016, 207 (01) : 177 - 189
[4] Mixed Modeling of Yield Components and Brown Rust Resistance in Sugarcane Families
Balsalobre, Thiago W. A.
Mancini, Melina C.
Pereira, Guilherme da S.
Anoni, Carina O.
Barreto, Fernanda Z.
Hoffmann, Hermann P.
de Souza, Anete P.
Garcia, Antonio A. F.
Carneiro, Monalisa S.
[J]. AGRONOMY JOURNAL, 2016, 108 (05) : 1824 - 1837
[5] Multiple-trait breeding values for parental selection in self-pollinating crops
Bauer, A. M.
Leon, J.
[J]. THEORETICAL AND APPLIED GENETICS, 2008, 116 (02) : 235 - 242
[6] Borges Vanderley, 2011, Rev. Ceres, V58, P765
[7] Butler DG, 2017, ASReml-R Reference Manual Version 4 ASReml estimates variance components under a general linear mixed model by residual maximum likelihood (REML)
[8] Selection for Biomass Yield in Upland, Lowland, and Hybrid Switchgrass
Casler, Michael D.
Vogel, Kenneth P.
[J]. CROP SCIENCE, 2014, 54 (02) : 626 - 636
[9] Cathy A, 2019, BOOT BOOTSTRAP R S P
[10] Costa B.M. da, 2009, Arch. zootec., V58, P141, DOI 10.4321/s0004-05922009000100019

← 1 2 3 4 →