Genetic evaluation of Pinus taeda clones from somatic embryogenesis and their genotype x environment interaction

Dias, Poliana Coqueiro; Xavier, Aloizio; Resende, Marcos Deon Vilela de; Barbosa, Márcio Henrique Pereira; Biernaski, Fabrício Antonio; Estopa, Regiane Abjaud

doi:10.1590/1984-70332018v18n1a8

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…However, such an interaction can be more complex, because, despite the soil and climate factors, it can be related to origin, provenance, genetic material propagation form, among other factors. Dias et al (2018) carried out a clonal test with P. taeda, in individuals at the age of four years, and found low correlation (0.49) among the four tested locations. They mention that clonal trials tend to present higher genotype x environment interaction than trials planted with progenies originated from seeds.…”

Section: Discussionmentioning

confidence: 99%

“…Most P. taeda plantations in Brazil are originated from seedlings; thus, breeding programs are set to produce genetically improved seeds in seed orchards. Therefore, the genetic selection of individuals and use of the best silvicultural techniques are essential to get high productivity in multi-environmental situations (DIAS et al, 2018;DVORAK, 2012).…”

Section: Introductonmentioning

confidence: 99%

“…One single breeding zone can be defined, in case of no significant genotype x environmental interaction, in order to meet the demand for seeds in all tested environments (MARTINEZ et al, 2012). Significant genotype x environment interactions for P. taeda were found by Paludzyszyn Filho et al (2001), in half-sib progenies, and by Dias et al (2018) in test based on using clones obtained through somatic embryogenesis. Martinez et al (2012) did not detect significant genotype x environmental interaction between half-sib progenies, in a progeny trial with P. taeda.…”

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GENETIC SELECTION OF Pinus taeda L. THROUGH MULTI-ENVIRONMENT TRIAL

Ishibashi

Flôres

Martinez

et al. 2020

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The aim of this study is to select progenies of Pinus taeda through multi-environmental trial to establish clonal seed orchards and advance breeding–program generations. Progeny test was carried out with 53 open-pollinated families planted in four different locations. The study followed a randomized block statistical design, with seven replications in linear plots planted with six plants each. DBH variable was measured in individuals at the age of nine years. All estimates were carried out in Selegen REML/BLUP® software. Genotype x environment interaction was detected; therefore, it required the definition of two breeding zones to minimize its effects. The genetic basis of the assessed population is restricted. Families were distributed into nine different groups, based on genetic divergence analysis, and grouping through the Tocher method, by using Mahalanobis distances. Based on the results, and by taking into consideration the balance between variability maintenance and genetic gains, it is recommended to establish a clonal seed orchard with 50 selected individuals in the experiment, based on a limited number of individuals per family. Intraspecific crossing between divergent families can also be used to increase heterosis and genetic variability in the assessed population.

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Section: Discussionmentioning

confidence: 99%

Section: Introductonmentioning

confidence: 99%

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confidence: 99%

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GENETIC SELECTION OF Pinus taeda L. THROUGH MULTI-ENVIRONMENT TRIAL

Ishibashi

Flôres

Martinez

et al. 2020

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“…Understanding stability and adaptability enables the identification of productive, stable, and adaptable genotypes (Silva et al, 2019). However, evaluating GE interaction is one of the most costly aspects of a breeding program (Dias et al, 2018), especially for perennial fruit trees such as T. grandiflorum, where the breeding cycle can last up to 15 years (Alves et al 2021). This may explain why studies on GE interaction in T. grandiflorum are extremely rare.…”

Section: Introductionmentioning

confidence: 99%

Theobroma Grandiflorum Breeding Optimization Based on Repeatability, Stability and Adaptability Information

Chaves

Alves

Alves³

et al. 2021

Preprint

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The cultivation of Theobroma grandiflorum in the Brazilian Amazon is mainly conducted by family farmers who use a range of different management straegies. Thus, breeding programs of the species must address the challenge of developing cultivars that are adapted to and stable in a variety of cultivation environments. In this context, this study aimed to estimate the optimum number of harvests for genetic selection of T. grandiflorum progenies and identify the most promising ones in terms of productivity, stability, and adaptability. The trials were implemented in three environments, using a randomized complete block design, with 25 full-sib progenies, five replications, and three plants per plot. The traits mean number of fruits/plant, mean fruit production/plant, and rate of infection with witches’ broom (Moniliophthora perniciosa) were evaluated over 11 harvests. The Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) mixed model method was used to estimate genetic parameters and predict genetic values, which were then applied to assess stability and adaptability. The results show that there is genetic variability among the studied T. grandiflorum progenies and that accurate genetic selection aiming at recombination is effective after three harvests, for recombination, or eleven harvests for identification of recommended progenies. Six progenies were selected that met the requirements for productivity, stability, and adaptability to different cultivation environments. These results can be used to optimize and advance T. grandiflorum breeding programs.

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“…Understanding stability and adaptability enables the identification of productive, stable, and adaptable genotypes [19]. However, evaluating GE interaction is one of the most costly aspects of a breeding program [20], especially for perennial fruit trees such as T. grandiflorum, where the breeding cycle can last up to 15 years [21]. This may explain why studies on GE interaction in T. grandiflorum are extremely rare.…”

Section: Introductionmentioning

confidence: 99%

Theobroma grandiflorum breeding optimization based on repeatability, stability and adaptability information

Chaves

Alves

Alves³

et al. 2021

Preprint

View full text Add to dashboard Cite

The cultivation of Theobroma grandiflorum in the Brazilian Amazon is mainly conducted by family farmers who use a range of different management strategies. Thus, breeding programs of the species must address the challenge of developing cultivars that are adapted to and stable in a variety of cultivation environments. In this context, this study aimed to estimate the optimum number of harvests for genetic selection of T. grandiflorum progenies and identify the most promising ones in terms of productivity, stability, and adaptability. The trials were implemented in three environments, using a randomized complete block design, with 25 full-sib progenies, five replications, and three plants per plot. The traits mean number of fruits/plant, mean fruit production/plant, and rate of infection with witches’ broom (Moniliophthora perniciosa) were evaluated over 11 harvests. The Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) mixed model method was used to estimate genetic parameters and predict genetic values, which were then applied to assess stability and adaptability. The results show that there is genetic variability among the studied T. grandiflorum progenies and that accurate genetic selection aiming at recombination is effective after three harvests, for recombination, or eleven harvests for identification of recommended progenies. Six progenies were selected that met the requirements for productivity, stability, and adaptability to different cultivation environments. These results can be used to optimize and advance T. grandiflorum breeding programs.

show abstract

Genetic evaluation of Pinus taeda clones from somatic embryogenesis and their genotype x environment interaction

Cited by 13 publications

References 15 publications

GENETIC SELECTION OF Pinus taeda L. THROUGH MULTI-ENVIRONMENT TRIAL

GENETIC SELECTION OF Pinus taeda L. THROUGH MULTI-ENVIRONMENT TRIAL

Theobroma Grandiflorum Breeding Optimization Based on Repeatability, Stability and Adaptability Information

Theobroma grandiflorum breeding optimization based on repeatability, stability and adaptability information

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