Performance of multi-trait genomic selection for Eucalyptus robusta breeding program

Rambolarimanana, Tahina; Ramamonjisoa, Lolona; Verhaegen, Daniel; Tsy, Jean-Michel Léong Pock; Jacquin, Laval; Cao-Hamadou, Tuong-Vi; Makouanzi, Garel; Bouvet, Jean‐Marc

doi:10.1007/s11295-018-1286-5

Cited by 20 publications

(8 citation statements)

References 39 publications

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“…One of the possible explanations could be found in the small difference in missing values between traits in our dataset. This has already been pinpointed as a cause of lack of performance by other authors working with a multi-trait approach (Jia and Jannink, 2012;Dos Santos et al, 2016;Lyra et al, 2017;Rambolarimanana et al, 2018). Multi-trait evaluation can help the prediction by compensating missing values in different traits and poor heritabilities (Calus and Veerkamp, 2011;Jia and Jannink, 2012;Marchal et al, 2016;Schulthess et al, 2016).…”

Section: Genomics Does Not Improve Substantially Prediction Accuracy Over Pedigree In Standard Conditionsmentioning

confidence: 99%

Favorable Conditions for Genomic Evaluation to Outperform Classical Pedigree Evaluation Highlighted by a Proof-of-Concept Study in Poplar

Pégard¹,

Segura

Muñoz³

et al. 2020

Front. Plant Sci.

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Section: Genomics Does Not Improve Substantially Prediction Accuracy Over Pedigree In Standard Conditionsmentioning

confidence: 99%

Favorable Conditions for Genomic Evaluation to Outperform Classical Pedigree Evaluation Highlighted by a Proof-of-Concept Study in Poplar

Pégard¹,

Segura

Muñoz³

et al. 2020

Front. Plant Sci.

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“…The BLUP breeding value has been widely used in animal breeding and selection research. In recent years, breeding value estimation and genome breeding value estimation have also been applied to Eucalyptus nitens [59][60][61], Pinus elliottii [62], Paulownia [63] and Picea [64,65] with reference to animal breeding experience, but there are few reports on BLUP applications in poplar [58].…”

Section: Introductionmentioning

confidence: 99%

“…where σ a was the square root of the additive genetic variance for a trait and X was the trial mean for the trait. The correlation estimates were obtained using the above model in the multivariate formulation [59]. The correlations related to genetic and environmental effects between traits 1 and 2 were calculated with the following formulas: the additive genetic correlation:…”

mentioning

confidence: 99%

Variation and Genetic Parameters of Leaf Morphological Traits of Eight Families from Populus simonii × P. nigra

Ren

Wang

et al. 2020

Forests

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Leaf morphology in Populus L. varies extensively among sections, species and clones under strong genetic control. P. nigra L. (section Aigeiros), with large and triangular leaves, is a commercial forest tree of economic importance for fast growth and high yield in Europe. P. simonii Carr. (section Tacamahaca) with small land rhomboid ovate leaves performs cold and dry resistance/tolerance in the semi-arid region of Northern China. Leaf morphological traits could be used as early indicators to improve the efficiency of selection. In order to investigate the genetic variation pattern of leaf morphology traits, estimate breeding values (combining ability), as well as evaluate crossing combinations of parents, 1872 intersectional progenies from eight families (P. simonii × P. nigra) and their parents were planted with cuttings for the clonal replicate field trial in Northern China. Four leaf size traits (area, perimeter, length, width) and roundness were measured with leaf samples from the 1-year-old clonal plantation. Significant differences regarding leaf traits were found between and among three female clones of P. simonii from Inner Mongolia, China and six male clones of P. nigra from Casale Monferrato, Italy. The genetic variation coefficient, heritability and genetic variance component of most traits in male parents were greater than these of female parents. Heritability estimates of male and female parents were above 0.56 and 0.17, respectively. Plentiful leaf variations with normal and continuous distributions exited in the hybrid progenies among and within families with the genetic variation coefficient and heritability above 28.49 and 0.24, respectively. Heritability estimates showed that leaf area was the most heritable trait, followed by leaf width. The breeding value ranking of parents allowed us to select the parental clones for new crosses and extend the mating design. Two male parental clones (N430 and N429) had greater breeding values (general combining ability, GCA) of leaf size traits than other clones. The special combining ability (SCA) of the crossing combination between P. simonii cl. ZL-3 and P. nigra cl. N430 was greater than that of others. Eight putatively superior genotypes, most combined with the female parental clone ZL-3, can be selected for future testing under near-commercial conditions. Significant genetic and phenotypic correlations were found between five leaf morphology traits with the coefficients above 0.9, except for leaf roundness. The results showed that leaf morphology traits were under strong genetic control and the parental clones with high GCA and SCA effects could be utilized in heterosis breeding, which will provide a starting point for devising a new selection strategy of parents and progenies.

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“…For instance, genomic selection has substantially accelerated the speed of forest tree breeding ( Grattapaglia et al., 2018 ; Howe et al., 2020 ; Lebedev et al., 2020 ; Ahmar et al., 2021 ; Grattapaglia, 2022 ). This technique enables the prediction of multiple traits based on thousands of molecular markers and therefore depends on low-cost, high-throughput sequencing techniques ( Grattapaglia and Resende, 2011 ; Rambolarimanana et al., 2018 ; Grattapaglia, 2022 ). The underlying genes and alleles that cause the desired trait—let alone the biochemical mechanism behind it—usually remain unknown.…”

Section: Breeding Lignin Traits In Forest Treesmentioning

confidence: 99%

Lignin engineering in forest trees: From gene discovery to field trials

Meester¹,

Vanholme²,

Mota³

et al. 2022

Plant Communications

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Performance of multi-trait genomic selection for Eucalyptus robusta breeding program

Cited by 20 publications

References 39 publications

Favorable Conditions for Genomic Evaluation to Outperform Classical Pedigree Evaluation Highlighted by a Proof-of-Concept Study in Poplar

Favorable Conditions for Genomic Evaluation to Outperform Classical Pedigree Evaluation Highlighted by a Proof-of-Concept Study in Poplar

Variation and Genetic Parameters of Leaf Morphological Traits of Eight Families from Populus simonii × P. nigra

Lignin engineering in forest trees: From gene discovery to field trials

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