Estimate of genetic parameters in Brachiaria decumbens hybrids

Matias, Filipe Inácio; Barrios, S. C. L.; Valle, Cacilda Borges do; Mateus, Rogério Gonçalves; Martins, Lucas Bearari; Môro, Gustavo Vitti

doi:10.1590/1984-70332016v16n2a18

Cited by 15 publications

(39 citation statements)

References 14 publications

(18 reference statements)

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“…On the other hand, FGW and TDM exhibited a negative correlation with CP and IVD, thus the higher the weight of a plant, the higher its fiber and lignin content and lower its protein. These observations contrast with those for U. humidicola (Figueiredo et al, 2012) and U. decumbens (Matias et al, 2016), where a high negative correlation between CP and FGW jeopardized the selection of one in favor of the other. These results were unlike those observed in U. decumbens (Matias et al, 2016) and U. ruziziensis (Simeão et al, 2016a), in which the increase in weight and regrowth promotes an increase in fiber and lignin for dealing with structural components of the cell wall (Van Soest, 1995;Mauri et al, 2015).…”

Section: Traits Correlationscontrasting

confidence: 80%

“…These results were unlike those observed in U. decumbens (Matias et al, 2016) and U. ruziziensis (Simeão et al, 2016a), in which the increase in weight and regrowth promotes an increase in fiber and lignin for dealing with structural components of the cell wall (Van Soest, 1995;Mauri et al, 2015). On the other hand, FGW and TDM exhibited a negative correlation with CP and IVD, thus the higher the weight of a plant, the higher its fiber and lignin content and lower its protein.…”

Section: Traits Correlationsmentioning

confidence: 66%

“…Estimation of genetic parameters and correlations have been described in the literature for U. decumbens (Mateus et al, 2015;Matias et al, 2016) and U. humidicola (Figueiredo et al, 2012). Estimation of genetic parameters and correlations have been described in the literature for U. decumbens (Mateus et al, 2015;Matias et al, 2016) and U. humidicola (Figueiredo et al, 2012).…”

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confidence: 99%

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Contribution of Additive and Dominance Effects on Agronomical and Nutritional Traits, and Multivariate Selection on Urochloa spp. Hybrids

et al. 2018

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A tropical forage breeding program contains several peculiarities, especially when it involves polyploid species and facultative apomixis. Urochloa spp. are excellent perennial forages, and the identification of superior genotypes depends on the selection of many characteristics under complex genetic control, with high cost and time‐consuming evaluation. Therefore, the use of tools such as multivariate analysis and diallel analyses could contribute to improving the efficiency of breeding programs. Thus, the objectives were to estimate (i) the contribution of additive and nonadditive effects on agronomical and nutritional traits in a population of interspecific hybrids of Urochloa spp., originated from a partial diallel between five apomictic and four sexual parents, and (ii) the accuracy of multivariate index selection efficiency. Genetic variability was detected between the parents, crosses, and hybrids for all the traits. There was no clear trend of the importance of the additive and nonadditive genetic effects on agronomical and nutritional traits. Furthermore, the predominant component of genetic variance changed depending on the characteristic. Moreover, there was no parent or cross that was outstanding for all traits simultaneously, showing the high variability generated from these crosses. The Mulamba and Mock index associated with principal components analysis allowed a more significant gain only for agronomic characteristics. However, the per se index, at the univariate level, promoted a more balanced response to selection for all traits.

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Section: Traits Correlationscontrasting

confidence: 80%

Section: Traits Correlationsmentioning

confidence: 66%

mentioning

confidence: 99%

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Contribution of Additive and Dominance Effects on Agronomical and Nutritional Traits, and Multivariate Selection on Urochloa spp. Hybrids

et al. 2018

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“…The correlation between agronomical and nutritional traits follows what has been observed previously for the genus Urochloa, as described for U. humidicola (Rendle) Morrone & Zuloaga (de Figueiredo et al, 2012), U. decumbens (Matias et al, 2016), U. ruziziensis (Simeão et al, 2016) and U. brizantha (Mauri et al, 2015). For forage growth, a considerable content of lignin and fiber is needed for the structural development and thickening of the cell wall, but this is an undesirable trait, as it decreases digestibility.…”

Section: Variability Of Forage Traits During the Dry And Wet Seasonssupporting

confidence: 84%

“…Different markers were identified for the same trait in different environmental conditions (annual, dry, and wet season), which corroborates that forage yield is associated with the hybrid's performance under abiotic and biotic stresses (Pabón et al, 2007;Mendonça et al, 2013;Matias et al, 2016). Furthermore, it may indicate a pleiotropic action among many forage traits.…”

Section: Importance Of the Annotated Genes For Forage Yieldsupporting

confidence: 66%

Association Mapping Considering Allele Dosage: An Example of Forage Traits in an Interspecific Segmental Allotetraploid Urochloa spp. Panel

et al. 2019

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The breeding process in tropical segmental allopolyploid forage Urochloa is challenging due to the complex genetic control of the traits. Knowledge about genes associated with forage traits, expressed in the different cutting seasons, are extremely useful to support breeding programs and development of new cultivars. Thus, the aims of our study were (i) to identify genomic regions related to forage traits through genome‐wide association studies (GWAS), and (ii) to verify the influence of allele dosage on these results. A panel of 272 genotypes of Urochloa spp. [U. brizantha (Hoscht. ex A. Rich.) R. Webster × U. ruziziensis (Hoscht. ex A. Rich.) R. Webster] was evaluated in both the wet and dry seasons. The GWAS analyses were performed with 26,535 single nucleotide polymorphisms (SNPs) obtained by genotyping‐by‐sequencing (GBS) using diploid and tetraploid allele dosage configurations. Furthermore, we evaluated scenarios including additive, dominance, and epistatic effects. Seven candidate genomic regions associated with the main forage traits of Urochloa spp. were identified. The importance of the diploid and tetraploid molecular configuration in GWAS analyses for segmental allopolyploid species was demonstrated to identify the genomic behavior of important regions. Results demonstrated that it is possible to identify the same regions using both ploidy configurations; however, in some cases, the allele substitution effect can be biased mainly for regions with dominance and epistatic effects. Finally, this study contributes to the understanding of genetic control of tropical forage traits and genomics to accelerate the selection and reduce the cost to release new cultivars.

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Genotype‐by‐environment interaction for turfgrass quality in bermudagrass across the southeastern United States

et al. 2020

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Estimation of genotype‐by‐environment interaction (GEI) is important in breeding programs because it provides critical information to guide selection decisions. In general, multienvironment trials exhibit heterogeneity of variances and covariances at several levels. Thus, the objectives of this study were (a) to find the best genetic covariance matrix to model GEI and compare changes in genotypic rankings between the best covariance structure against a compound symmetry structure, (b) to define mega‐environments for turfgrass performance across the southeastern United States, and (c) to estimate genetic correlations between drought or nondrought and growing or nongrowing conditions to determine the extent of GEI under specific environments. Three nurseries with 165, 164, and 154 genotypes were evaluated in 2011–2012, 2012–2013, and 2013–2014, respectively. These nurseries were conducted at eight locations (Citra, FL; Hague, FL; College Station, TX; Dallas, TX; Griffin, GA; Tifton, GA; Stillwater, OK; and Jackson Springs, NC). The response variables were averaged turfgrass quality (TQ), TQ under drought (TQD), nondrought TQ (TQND), TQ under actively growing months (TQG), and TQ under nongrowing months (TQNG). This study demonstrated that (a) the best variance structure varied among traits and seasons, and changes in genotype rankings were dependent on GEI; (b) considering TQ and TQND, mega‐environments formed between Jackson Springs and College Station, and between Citra, Dallas, and Griffin, whereas Stillwater, Hague, and Tifton represented unique environments across the southeastern United States; and (c) genetic correlations between drought or nondrought and growing or nongrowing conditions suggested that indirect selection can be efficient in multienvironment trials for contrasting environmental conditions.

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Estimate of genetic parameters in Brachiaria decumbens hybrids

Cited by 15 publications

References 14 publications

Contribution of Additive and Dominance Effects on Agronomical and Nutritional Traits, and Multivariate Selection on Urochloa spp. Hybrids

Contribution of Additive and Dominance Effects on Agronomical and Nutritional Traits, and Multivariate Selection on Urochloa spp. Hybrids

Association Mapping Considering Allele Dosage: An Example of Forage Traits in an Interspecific Segmental Allotetraploid Urochloa spp. Panel

Genotype‐by‐environment interaction for turfgrass quality in bermudagrass across the southeastern United States

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