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Registro Completo |
Biblioteca(s): |
Embrapa Café; Embrapa Florestas. |
Data corrente: |
06/01/2021 |
Data da última atualização: |
27/01/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PAULA, T. O. M. de; BRASILEIRO, B. P.; CURSI, D. E.; FREITAS, E. G. de; SANTOS, J. M. dos; RESENDE, M. D. V. de; KIMBENG, C.; BARBOSA, M. H. P. |
Afiliação: |
THIAGO OTAVIO MENDES DE PAULA, INTERNATIONAL POTATO CENTER; BRUNO PORTELA BRASILEIRO, UFPR; DANILO EDUARDO CURSI, SUGARCANE BREEDING PROGRAM OF RIDESA/UFSCAR; EDJANE GONÇALVES DE FREITAS, UNIVERSIDADE FEDERAL DO ALAGOAS; JOÃO MESSIAS DOS SANTOS, UNIVERSIDADE FEDERAL DO ALAGOAS; MARCOS DEON VILELA DE RESENDE, CNPCa; COLLINS KIMBENG, SUGAR RESEARCH STATION; MÁRCIO HENRIQUE PEREIRA BARBOSA, UFV. |
Título: |
Establishment of gene pools for systematic heterosis exploitation in sugarcane breeding. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Agronomy Journal, v. 112, p. 3847-3858, 2020. |
DOI: |
https://doi.org/10.1002/agj2.20299 |
Idioma: |
Inglês |
Conteúdo: |
In sugarcane (Saccharum spp) breeding, despite the potential use of reciprocal recurrent selection (RRS) to explore both nonadditive and additive effects for economic value traits, to date, no publications have targeted obtaining heterotic groups to support this selection strategy. The aim of this study was to (a) to identify sugarcane gene pools to effectively explore nonadditive and additive genetic effects via reciprocal recurrent selection, (b) estimate genetic parameters, and (c) select parents and cross combinations. Seventy-nine sugarcane families were obtained from crossing 38 parents in a crossing scheme known as disconnected factorial design. The families were evaluated in randomized complete block design with five replicates. The statistical genetic analysis was performed with linear mixed models through restricted maximum likelihood/best linear unbiased predictor. The results revealed that nonadditive effects were predominant in explaining genetic variation for cane yield (t ha-1), pol yield (t ha-1), and fiber yield (t ha-1). For brix, fiber and corrected Pol (PCC) traits, additive effects were predominant. Estimates of specific combining ability and pedigree information allowed the establishment of gene pools for systematic heterosis exploitation through RRS breeding efforts. The prediction of the additive genetic values of parents for selection based on the progeny's behavior obtained via disconnected factorial design is an alternative that should be used in sugarcane breeding programs. MenosIn sugarcane (Saccharum spp) breeding, despite the potential use of reciprocal recurrent selection (RRS) to explore both nonadditive and additive effects for economic value traits, to date, no publications have targeted obtaining heterotic groups to support this selection strategy. The aim of this study was to (a) to identify sugarcane gene pools to effectively explore nonadditive and additive genetic effects via reciprocal recurrent selection, (b) estimate genetic parameters, and (c) select parents and cross combinations. Seventy-nine sugarcane families were obtained from crossing 38 parents in a crossing scheme known as disconnected factorial design. The families were evaluated in randomized complete block design with five replicates. The statistical genetic analysis was performed with linear mixed models through restricted maximum likelihood/best linear unbiased predictor. The results revealed that nonadditive effects were predominant in explaining genetic variation for cane yield (t ha-1), pol yield (t ha-1), and fiber yield (t ha-1). For brix, fiber and corrected Pol (PCC) traits, additive effects were predominant. Estimates of specific combining ability and pedigree information allowed the establishment of gene pools for systematic heterosis exploitation through RRS breeding efforts. The prediction of the additive genetic values of parents for selection based on the progeny's behavior obtained via disconnected factorial design is an alternative that should be used in s... Mostrar Tudo |
Palavras-Chave: |
Energy cane. |
Thesagro: |
Cana de Açúcar; Energia. |
Thesaurus Nal: |
Saccharum arundinaceum; Sugar crops. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02349naa a2200277 a 4500 001 2129609 005 2021-01-27 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1002/agj2.20299$2DOI 100 1 $aPAULA, T. O. M. de 245 $aEstablishment of gene pools for systematic heterosis exploitation in sugarcane breeding.$h[electronic resource] 260 $c2020 520 $aIn sugarcane (Saccharum spp) breeding, despite the potential use of reciprocal recurrent selection (RRS) to explore both nonadditive and additive effects for economic value traits, to date, no publications have targeted obtaining heterotic groups to support this selection strategy. The aim of this study was to (a) to identify sugarcane gene pools to effectively explore nonadditive and additive genetic effects via reciprocal recurrent selection, (b) estimate genetic parameters, and (c) select parents and cross combinations. Seventy-nine sugarcane families were obtained from crossing 38 parents in a crossing scheme known as disconnected factorial design. The families were evaluated in randomized complete block design with five replicates. The statistical genetic analysis was performed with linear mixed models through restricted maximum likelihood/best linear unbiased predictor. The results revealed that nonadditive effects were predominant in explaining genetic variation for cane yield (t ha-1), pol yield (t ha-1), and fiber yield (t ha-1). For brix, fiber and corrected Pol (PCC) traits, additive effects were predominant. Estimates of specific combining ability and pedigree information allowed the establishment of gene pools for systematic heterosis exploitation through RRS breeding efforts. The prediction of the additive genetic values of parents for selection based on the progeny's behavior obtained via disconnected factorial design is an alternative that should be used in sugarcane breeding programs. 650 $aSaccharum arundinaceum 650 $aSugar crops 650 $aCana de Açúcar 650 $aEnergia 653 $aEnergy cane 700 1 $aBRASILEIRO, B. P. 700 1 $aCURSI, D. E. 700 1 $aFREITAS, E. G. de 700 1 $aSANTOS, J. M. dos 700 1 $aRESENDE, M. D. V. de 700 1 $aKIMBENG, C. 700 1 $aBARBOSA, M. H. P. 773 $tAgronomy Journal$gv. 112, p. 3847-3858, 2020.
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