Data/hora: 23/06/2024 18:08:23

Biblioteca(s): 	Embrapa Café; Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Gado de Leite.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	A - 1	
Data corrente: 	17/05/2021	
Data da última atualização: 	19/01/2022	
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.	
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: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/223263/1/Simeao-FrontiersPlantSci-2021.pdf
http://ainfo.cnptia.embrapa.br/digital/bitstream/item/224964/1/Genomic-selection-tropical.pdf	
Registro original: 	Embrapa Gado de Corte (CNPGC)	
Exemplares: 	CNPGC - (17672-1) - UPC - AP - DD -  -  -  - DIS
CNPGL - (25144-1) - UPC - AP - DD -  -  -  - DIS
CNPCa - (1536-1) - UPC - AP - DD -  -  -  - DIS