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Registro Completo |
Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Pantanal. |
Data corrente: |
27/06/1995 |
Data da última atualização: |
17/04/2017 |
Autoria: |
FASSBENDER, H. W.; ALPIZAR, L.; HEUVELDOP, J.; FOLSTER, H.; ENRIQUEZ, G. |
Título: |
Modelling agroforestry systems of cacao (Theobroma cacao) with laurel (Cordia alliodora) and poro (Erythrina poeppigiana) in Costa Rica. III. Cycles of organic matter and nutrients. |
Ano de publicação: |
1988 |
Fonte/Imprenta: |
Agroforestry Systems, v.6, n.1, p.49-62, 1988. |
Idioma: |
Inglês |
Palavras-Chave: |
Ciclo; Cycle; Nutrient; Plant; Production. |
Thesagro: |
Cacau; Cordia Alliodora; Fósforo; Magnésio; Matéria Orgânica; Nitrogênio; Nutriente; Planta; Produção; Theobroma Cacao. |
Thesaurus Nal: |
Erythrina poeppigiana; organic matter. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01017naa a2200361 a 4500 001 1802646 005 2017-04-17 008 1988 bl --- 0-- u #d 100 1 $aFASSBENDER, H. W. 245 $aModelling agroforestry systems of cacao (Theobroma cacao) with laurel (Cordia alliodora) and poro (Erythrina poeppigiana) in Costa Rica. III. Cycles of organic matter and nutrients. 260 $c1988 650 $aErythrina poeppigiana 650 $aorganic matter 650 $aCacau 650 $aCordia Alliodora 650 $aFósforo 650 $aMagnésio 650 $aMatéria Orgânica 650 $aNitrogênio 650 $aNutriente 650 $aPlanta 650 $aProdução 650 $aTheobroma Cacao 653 $aCiclo 653 $aCycle 653 $aNutrient 653 $aPlant 653 $aProduction 700 1 $aALPIZAR, L. 700 1 $aHEUVELDOP, J. 700 1 $aFOLSTER, H. 700 1 $aENRIQUEZ, G. 773 $tAgroforestry Systems$gv.6, n.1, p.49-62, 1988.
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Registro original: |
Embrapa Pantanal (CPAP) |
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Registro Completo
Biblioteca(s): |
Embrapa Café; Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Gado de Leite. |
Data corrente: |
17/05/2021 |
Data da última atualização: |
19/01/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
SIMEÃO, R. M.; RESENDE, M. D. V. de; ALVES, R. S.; PESSOA FILHO, M. A. C. de P.; AZEVEDO, A. L. S.; JONES, C. S.; PEREIRA, J. F.; MACHADO, J. C. |
Afiliação: |
ROSANGELA MARIA SIMEAO, CNPGC; MARCOS DEON VILELA DE RESENDE, CNPCa; RODRIGO S. ALVES, Instituto Nacional de Ciência e Tecnologia do Café, Universidade Federal de Viçosa, Viçosa, Brasil; MARCO AURELIO CALDAS DE PINHO PESSO, CPAC; ANA LUISA SOUSA AZEVEDO, CNPGL; CHRIS S. JONES, International Livestock Research Institute, Nairobi, Kenya; JORGE FERNANDO PEREIRA, CNPGL; JUAREZ CAMPOLINA MACHADO, CNPGL. |
Título: |
Genomic selection in tropical forage grasses: current status and future applications. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Frontiers in Plant Science, 2021. |
DOI: |
https://doi.org/10.3389/fpls.2021.665195 |
Idioma: |
Inglês |
Conteúdo: |
The world population is expected to be larger and wealthier over the next few decades and will require more animal products, such as milk and beef. Tropical regions have great potential to meet this growing global demand, where pasturelands play a major role in supporting increased animal production. Better forage is required in consonance with improved sustainability as the planted area should not increase and larger areas cultivated with one or a few forage species should be avoided. Although, conventional tropical forage breeding has successfully released well-adapted and high-yielding cultivars over the last few decades, genetic gains from these programs have been low in view of the growing food demand worldwide. To guarantee their future impact on livestock production, breeding programs should leverage genotyping, phenotyping, and envirotyping strategies to increase genetic gains. Genomic selection (GS) and genomewide association studies play a primary role in this process, with the advantage of increasing genetic gain due to greater selection accuracy, reduced cycle time, and increased number of individuals that can be evaluated. This strategy provides solutions to bottlenecks faced by conventional breeding methods, including long breeding cycles and difficulties to evaluate complex traits. Initial results from implementing GS in tropical forage grasses (TFGs) are promising with notable improvements over phenotypic selection alone. However, the practical impact of GS in TFG breeding programs remains unclear. The development of appropriately sized training populations is essential for the evaluation and validation of selection markers based on estimated breeding values. Large panels of single-nucleotide polymorphism markers in different tropical forage species are required for multiple application targets at a reduced cost. In this context, this review highlights the current challenges, achievements, availability, and development of genomic resources and statistical methods for the implementation of GS in TFGs. Additionally, the prediction accuracies from recent experiments and the potential to harness diversity from genebanks are discussed. Although, GS in TFGs is still incipient, the advances in genomic tools and statistical models will speed up its implementation in the foreseeable future. All TFG breeding programs should be prepared for these changes. MenosThe world population is expected to be larger and wealthier over the next few decades and will require more animal products, such as milk and beef. Tropical regions have great potential to meet this growing global demand, where pasturelands play a major role in supporting increased animal production. Better forage is required in consonance with improved sustainability as the planted area should not increase and larger areas cultivated with one or a few forage species should be avoided. Although, conventional tropical forage breeding has successfully released well-adapted and high-yielding cultivars over the last few decades, genetic gains from these programs have been low in view of the growing food demand worldwide. To guarantee their future impact on livestock production, breeding programs should leverage genotyping, phenotyping, and envirotyping strategies to increase genetic gains. Genomic selection (GS) and genomewide association studies play a primary role in this process, with the advantage of increasing genetic gain due to greater selection accuracy, reduced cycle time, and increased number of individuals that can be evaluated. This strategy provides solutions to bottlenecks faced by conventional breeding methods, including long breeding cycles and difficulties to evaluate complex traits. Initial results from implementing GS in tropical forage grasses (TFGs) are promising with notable improvements over phenotypic selection alone. However, the practical impact of GS i... Mostrar Tudo |
Palavras-Chave: |
ELEPHANT GRASS; FORAGE BREEDING; GUINEA GRASS; Seleção assistida; Seleção genômica. |
Thesagro: |
Apomixia; Brachiaria; Gramínea; Poliploidia. |
Thesaurus NAL: |
Apomixis; Marker-assisted selection; Polyploidy. |
Categoria do assunto: |
-- F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223263/1/Simeao-FrontiersPlantSci-2021.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224964/1/Genomic-selection-tropical.pdf
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Marc: |
LEADER 03430naa a2200361 a 4500 001 2131851 005 2022-01-19 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3389/fpls.2021.665195$2DOI 100 1 $aSIMEÃO, R. M. 245 $aGenomic selection in tropical forage grasses$bcurrent status and future applications.$h[electronic resource] 260 $c2021 520 $aThe world population is expected to be larger and wealthier over the next few decades and will require more animal products, such as milk and beef. Tropical regions have great potential to meet this growing global demand, where pasturelands play a major role in supporting increased animal production. Better forage is required in consonance with improved sustainability as the planted area should not increase and larger areas cultivated with one or a few forage species should be avoided. Although, conventional tropical forage breeding has successfully released well-adapted and high-yielding cultivars over the last few decades, genetic gains from these programs have been low in view of the growing food demand worldwide. To guarantee their future impact on livestock production, breeding programs should leverage genotyping, phenotyping, and envirotyping strategies to increase genetic gains. Genomic selection (GS) and genomewide association studies play a primary role in this process, with the advantage of increasing genetic gain due to greater selection accuracy, reduced cycle time, and increased number of individuals that can be evaluated. This strategy provides solutions to bottlenecks faced by conventional breeding methods, including long breeding cycles and difficulties to evaluate complex traits. Initial results from implementing GS in tropical forage grasses (TFGs) are promising with notable improvements over phenotypic selection alone. However, the practical impact of GS in TFG breeding programs remains unclear. The development of appropriately sized training populations is essential for the evaluation and validation of selection markers based on estimated breeding values. Large panels of single-nucleotide polymorphism markers in different tropical forage species are required for multiple application targets at a reduced cost. In this context, this review highlights the current challenges, achievements, availability, and development of genomic resources and statistical methods for the implementation of GS in TFGs. Additionally, the prediction accuracies from recent experiments and the potential to harness diversity from genebanks are discussed. Although, GS in TFGs is still incipient, the advances in genomic tools and statistical models will speed up its implementation in the foreseeable future. All TFG breeding programs should be prepared for these changes. 650 $aApomixis 650 $aMarker-assisted selection 650 $aPolyploidy 650 $aApomixia 650 $aBrachiaria 650 $aGramínea 650 $aPoliploidia 653 $aELEPHANT GRASS 653 $aFORAGE BREEDING 653 $aGUINEA GRASS 653 $aSeleção assistida 653 $aSeleção genômica 700 1 $aRESENDE, M. D. V. de 700 1 $aALVES, R. S. 700 1 $aPESSOA FILHO, M. A. C. de P. 700 1 $aAZEVEDO, A. L. S. 700 1 $aJONES, C. S. 700 1 $aPEREIRA, J. F. 700 1 $aMACHADO, J. C. 773 $tFrontiers in Plant Science, 2021.
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Embrapa Gado de Corte (CNPGC) |
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