Rubber tree early selection for yield stability in time and among locations

Gouvêa, Lígia Regina Lima; Silva, Guilherme Augusto Peres; Verardi, Cecília Khusala; Oliveira, André Luís Bombonato de; Gonçalves, Elaine Cristine Piffer; Scaloppi, Erivaldo José; Moraes, Mário Luiz Teixeira de; Gonçalves, Paulo de Souza

doi:10.1007/s10681-013-0874-6

Cited by 20 publications

(9 citation statements)

References 20 publications

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“…The literature also shows plant breeding projects in which base populations were composed of a small number of progenies without compromising their genetic variability. This finding is also confirmed by Gouvea et al (2013) and Oliveira et al (2014), who studied initial populations consisting of 22 and 30 progenies of rubber tree, respectively, and in studies by Fogaça et al (2012), in which the base population consisted of 24 progenies of daylily (Hemerocallis x hybrids Hort.). It should be remembered that one of the limiting factors of allocating a large number of progenies in experiments of perennial crops is the maintenance cost of this population during the 365 days of the year.…”

Section: Resultssupporting

confidence: 69%

Effective population size and genetic gain expected in a population of Coffea canephora

Mistro¹,

Resende

Fazuoli

et al. 2019

Crop Breed. Appl. Biotechnol.

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This work aimed to study the effective population size and genetic gain in a population of robusta coffee (Coffea canephora Pierre) and verify the possibility of using recurrent selection. The experiment comprised 25 treatments, consisting of 21 C. canephora progenies and four C. arabica (cultivars) grown in Brazil. The experimental design was a 5x5 quadruple balanced lattice, with 24 replications, with one plant per plot. Six harvests were performed in each plant. Statistical analysis was carried out using the mixed model methodology. The analysis showed high additive genetic variability, and the magnitude of the additive components prevailed over that of the dominance components. These facts revealed the plant population liability to undergo recurrent selection, whose expected genetic gains were high. Results suggest that the effective population size and inbreeding degree throughout recurrent selection cycles be monitored. During selective cycles, cloning with weak selection is required due to few progenies.

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Section: Resultssupporting

confidence: 69%

Effective population size and genetic gain expected in a population of Coffea canephora

Mistro¹,

Resende

Fazuoli

et al. 2019

Crop Breed. Appl. Biotechnol.

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“…routinely found in agronomic experiments, especially in studies requiring many trials, such as the GxE interaction (Bastos et al, 2007;Carbonel et al, 2007;Mathews et al, 2007;Verardi et al, 2009;Borges et al, 2010;Mendes et al, 2012;Silva et al, 2012;Farias Neto et al, 2013;Gouvêa et al, 2013;Rodrigues et al, 2013;Gomez et al, 2014;Torricelli et al, 2014).…”

Section: Methodologies Based On Mixed Modelsmentioning

confidence: 99%

Evolution of methodology for the study of adaptability and stability in cultivated species

Carvalho¹,

Silva²,

Rocha³

et al. 2016

Afr. J. Agric. Res.

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The GxE interaction only became widely discussed from evolutionary studies and evaluations of the causes of behavioral changes of species cultivated in environments. In the last 60 years, several methodologies for the study of adaptability and stability of genotypes in multiple environments trials were developed in order to assist the breeder's choice regarding which genotypes are more stable and which are the most suitable for the crops in the most diverse environments. The methods that use linear regression analysis were the first to be used in a general way by breeders, followed by multivariate analysis methods and mixed models. The need to identify the genetic and environmental causes that are behind the GxE interaction led to the development of new models that include the use of covariates and which can also include both multivariate methods and mixed modeling. However, further studies are needed to identify the causes of GxE interaction as well as for the more accurate measurement of its effects on phenotypic expression of varieties in competition trials carried out in genetic breeding programs.

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“…Several studies have been conducted on stability in the rubber tree in the last decade. In some studies, the stability between location was assessed (Gonç alves et al, 2009;Gouvêa et al, 2013;Verardi et al, 2009) and in other studies, stability in time (Gonç alves et al, 2008;Vinod et al, 2010;Priyadarshan et al, 2008;Gouvêa et al, 2013Gouvêa et al, , 2012Gouvêa et al, , 2011Silva et al, 2014). In some of these studies the genotypes assessed were progeny (Gonç alves et al, 2009;Gouvêa et al, 2013Verardi et al, 2009 and in others they were http://dx.doi.org/10.1016/j.indcrop.2015.11.047 0926-6690/© 2015 Elsevier B.V. All rights reserved.…”

Section: Introductionmentioning

confidence: 99%

Association among stability measurements in rubber tree traits

Gouvêa¹,

Silva²,

Moraes

et al. 2016

Industrial Crops and Products

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The simultaneous use of different methods of stability analysis is becoming more widely used in the selection of genotypes in breeding programs. Knowing how these different methods are associated can contribute to a more efficient selection. The objective of the present study was to assess association among different methods of stability analysis in the rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell.-Arg.], using different traits and different groups of genotypes for the same trait. Two openpollinated progeny populations (POP1 and POP2) and a group of clones (Group 1) were analyzed. POP1 contained 22 progeny, assessed in the municipalities of Pindorama, Votuporanga and Jaú, São Paulo state, Brazil. POP2 included 30 progeny assessed in Selvíria, Mato Grosso do Sul state, Votuporanga and Colina, São Paulo state, Brazil. Group 1 consisted of 25 clones assessed in Votuporanga. The following traits were assessed in POP1: girth, rubber yield, bark thickness and number of latex vessel rings. Rubber yield was assessed in POP2 and Group 1 clones. The following methods of stability analysis were used: Wricke; Eberhart and Russell; Lin and Binns; AMMI (Principal Additive Effect and Multiplicative Interaction) and HMRPGV (Harmonic Mean of the Relative Performance of the Genetic Values) predicted by Blup (Best Linear Unbiased Prediction). The Spearman correlation was used to verify the association between the stability parameters. Three scenarios were observed; in the first, some parameters did not show significant association in any of the analyses: Eberhart and Russell with Lin and Binns; Eberhart and Russell with HMRPGV; Wricke with HMRPGV; AMMI with Lin and Binns and AMMI with HMRPGV. In the second, some parameters showed significant associations in all the analyses such as: Wricke with AMMI, Lin and Binns with HMRPGV. Finally, in the third, the significance of association varied according to the analysis: Eberhart and Russell with Wricke, Eberhart and Russell with AMMI and Wricke with Lin and Binns. Therefore, the association among some stability parameters varies according to the trait and/or the group of genotypes analyzed. The association observed in one analysis cannot be applied to another analysis. In this data analysis is possible to observe that the AMMI method can be used with HMRPGV or Lin and Binns. In addition, Eberhart and Russell can be used with HMRPGV or Lin and Binns, since they offer differentiation and provide additional approaches to the study of stability.

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Rubber tree early selection for yield stability in time and among locations

Cited by 20 publications

References 20 publications

Effective population size and genetic gain expected in a population of Coffea canephora

Effective population size and genetic gain expected in a population of Coffea canephora

Evolution of methodology for the study of adaptability and stability in cultivated species

Association among stability measurements in rubber tree traits

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