Avaliação e seleção de progênies de meios-irmãos de guaranazeiro

Atroch, A. L.; Filho, F. J. do Nascimento; Resendes, Marcos Deon Vilela de; Lopes, Ricardo; Clement, Charles R.

doi:10.4322/rca.2011.017

Cited by 14 publications

(11 citation statements)

References 5 publications

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“…bras., Brasília, v.47, n.2, p.237-243, fev. 2012 seleção têm sido frequentemente utilizados com este fim em fruteiras, como guaraná (Atroch et al, 2010), maracujazeiro-amarelo (Oliveira et al, 2008) e caju (Paiva et al, 2007). O primeiro índice de seleção proposto para a seleção de duas ou mais características correlacionadas foi o clássico (Smith, 1936;Hazel, 1943), com uso de variâncias e covariâncias genotípicas e fenotípicas.…”

Section: Introductionunclassified

Índices de seleção no aprimoramento simultâneo dos componentes da produção de frutos em açaizeiro

Teixeira

Oliveira

Gonçalves

et al. 2012

Pesq. agropec. bras.

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O objetivo deste trabalho foi determinar a estratégia seletiva mais adequada para o incremento simultâneo de componentes da produção de frutos em açaizeiro (Euterpe oleracea). Implantou-se um experimento com 25 progênies de meio-irmãos, no Município de Santa Izabel, PA, tendo-se utilizado o delineamento de blocos ao acaso, com quatro repetições e parcela de cinco plantas. Os índices de seleção de Smith & Hazel, Williams, e Mulamba & Mock foram aplicados em três estratégias seletivas. Foram utilizados, como pesos econômicos, os coeficientes de variação genéticos, a herdabilidade, a razão entre a correlação genética do caráter selecionado com a produção de frutos, e a somatória de todos os caracteres que compõem o índice e a produção de frutos. Aponderação pela razão das correlações permitiu que os índices de seleção discriminassem as melhores progênies nas diferentes estratégias de seleção avaliadas. A seleção simultânea por meio do índice de Mulamba & Mock, quanto ao número de meses em frutificação, ao número de cachos colhidos, à produção de frutos e ao número de ráquilas no cacho, estima ganhos de forma mais robusta.

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Section: Introductionunclassified

Índices de seleção no aprimoramento simultâneo dos componentes da produção de frutos em açaizeiro

Teixeira

Oliveira

Gonçalves

et al. 2012

Pesq. agropec. bras.

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“…The use of progeny tests has been successfully used in several forest species, such as Paullinia cupana (ATROCH et al, 2010), Anacardium occidentale (PAIVA et al, 2007;SILVA et al, 2012), Hymenaea stigonocarpa (MORENO et al, 2009), Handroanthus avellanedae (SANTOS; CABRAL; COSTA, 2014), Jacaranda cuspidifolia (MORAES et al, 2013), Myracrodruon urundeuva (CARDERALLI et al, 2013), Cocos nucifera (FARIAS NETO et al, 2009), Caryocar brasiliense (GIORDANI et al, 2012) and Acrocomia aculeata (DOMICIANO et al, 2015).…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Carnauba Progenies and Estimates of Genetic Parameters in the Juvenile Phase

et al. 2018

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Carnauba (Copernicia prunifera) is a forest species with multiple uses, and is of great economic and social importance for several communities involved in extractive agriculture in northeastern Brazil. However, there are few studies on genetic variability in this species. Thus, this work aimed to produce information about the genetic characterization of C. prunifera seeds and seedlings, using provenance and progeny evaluations. A progeny test was performed in a plant nursery, using seeds of 36 matrices sampled in the municipalities of Mossoró and Apodi (Rio Grande do Norte State), and Russas and Icapuí (Ceará State). Three groups were derived according to the spatial distance between the collected matrices. Biometric analyses of the seeds were performed, adopting a completely randomized experimental design, with four replicates of 25 seeds in each analysis. A randomized block design (five replicates and five plants per plot) was used at the seedling production phase. The data evaluated included the emergence speed index, emergence percentage, leaf size, leaf base diameter, and survival (at 30, 60, and 90 days after sowing). The restricted maximum likelihood method was used in the statistical analysis, with the aid of SELEGEN software. In order to evaluate genetic variability in the C. prunifera population samples, it was verified that the juvenile characters presented a moderate genetic control. The three groups of spatially delimited matrices presented no significant genetic differences. This information may assist in the development of forestry practice for this species.

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“…The dissimilarity analyses among the genotypes clustered them into two groups. BRS Maués and CMU874 genotypes in the same subgroup (Ia), with similarity (0.808), are genetically close because they are half‐brothers (Atroch, Nascimento Filho, Resende, Lopes, & Clement, 2010; Nascimento Filho et al., 2001; Silva et al., 2016), in addition to having the same origin (Maués).…”

Section: Discussionmentioning

confidence: 99%

Phytochemistry divergence among guarana genotypes as a function of agro‐industrial characters

et al. 2020

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Guarana [Paullinia cupana var. sorbilis (Mart.) Ducke] is a typical South American plant, native to the Amazon, with subspontaneous occurrence in Maués, Amazonas, Brazil, where it was domesticated and cultivated by the Sateré‐Mawé indigenous community. Guarana is an original Brazilian product with great economic and industrial potential owing to the energetic, antioxidant, and medicinal properties of its seeds. In spite of its importance, there is still a gap in knowledge about genetic diversity and adaptations that might improve agro‐industrial uses of guarana seeds. This study was aimed at estimating phytochemical diversity, classification, and typology of guarana genotypes. Agro‐industrial potential among eight genotypes was estimated based on phytochemical characters (theobromine, caffeine, catechin, and epicatechin content, quantified by high performance liquid chromatography) and yield in three locations from harvests between 2015 and 2016. Phytochemical divergence was assessed by the mean Euclidean distance. Grouping was performed by the unweighted pair‐group method using arithmetic averages. Metabolite content varied considerably between genotypes (e.g., among caffeine [3.23–7.35%], catechin [0.20–3.57%], and epicatechin [0.09–4.22%]), and dry seed yield was the character with the greatest variation (0.048–5.13 kg plant−1). The metabolic profile variations of the genotypes were clustered into three chemotypes: energetic and antioxidant guarana (genotypes CIR815, CIR904, and CMA498); antioxidant guarana (genotypes BRS‐Maués and CMU874); and energetic guarana (genotypes CMA831, CMU952, and BRS‐CG372). Genotypes CIR815, CIR904, and CMU874 have the potential to be future commercial cultivars, providing quality raw material for soft drinks, energy drinks, and pharmaceutical products.

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Avaliação e seleção de progênies de meios-irmãos de guaranazeiro

Cited by 14 publications

References 5 publications

Índices de seleção no aprimoramento simultâneo dos componentes da produção de frutos em açaizeiro

Índices de seleção no aprimoramento simultâneo dos componentes da produção de frutos em açaizeiro

Evaluation of Carnauba Progenies and Estimates of Genetic Parameters in the Juvenile Phase

Phytochemistry divergence among guarana genotypes as a function of agro‐industrial characters

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