Data/hora: 22/09/2024 19:20:53

Biblioteca(s): 	Embrapa Pecuária Sudeste.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	A - 1	
Data corrente: 	27/02/2023	
Data da última atualização: 	27/02/2023	
Autoria: 	SANTOS, I. G. DOS; PEIXOTO, M. A.; CRUZ, C. D.; FERREIRA, R. de P.; NASCIMENTO, M.; ROSADO, R. D. S.; SANT ANNA, I. DE C.	
Afiliação: 	IARA GONÇALVES DOS SANTOS, Federal Univ. of Viçosa; MARCO ANTÔNIO PEIXOTO, Federal Univ. of Viçosa; COSME DAMIÃO CRUZ, Federal Univ. of Viçosa; REINALDO DE PAULA FERREIRA, CPPSE; MOYSÉS NASCIMENTO, Federal Univ. of Viçosa; RENATO DOMICIANO SILVA ROSADO, Federal Univ. of Viçosa; ISABELA DE CASTRO SANT ANNA, Agronomic Institute of Campinas.	
Título: 	A novel approach to determine tropical persistence on alfalfa germplasm.	
Ano de publicação: 	2022	
Fonte/Imprenta: 	Agronomy Journal, v. 114, p. 3225-3233, 2022.	
DOI: 	https://doi.org/10.1002/agj2.21147	
Idioma: 	Inglês	
Conteúdo: 	Persistence plays a key role in alfalfa (Medicago sativa L. ssp. sativa) cultivation in tropical areas, but it is still a restriction for breeding programs. The objectives of this study were to identify persistent alfalfa accessions evaluated under tropical conditions, and to propose a method for selecting persistent accessions based on random regression (RR) models using artificial neural networks (ANN). Dry matter yield (DMY) of 77 alfalfa accessions from 24 cuts was measured to evaluate persistence using different RR models. A persistence method was proposed based on the trajectory curves of the accessions. The fitted curves showed a great amplitude regarding DMY over time, which suggest high persistence variability. The three-step method for accessing persistence presented in this study included RR modeling to obtain trends of persistence, k-means to define different persistence clusters, and ANN to perform persistence classification in an automated way. When new accessions are evaluated by an alfalfa breeding program, they will be classified according to their genetic values scores using the same ANN previously fitted. The ANN will greatly enhance the decision-making process.	
Palavras-Chave: 	Alfalfa germplasm.	
Thesagro: 	Alfafa; Medicago Sativa.	
Categoria do assunto: 	F Plantas e Produtos de Origem Vegetal	
Registro original: 	Embrapa Pecuária Sudeste (CPPSE)	
Exemplares: 	CPPSE - (25921-1) - UPC - AP - DD - PROCI-2022.00196 - SAN - 2023.00026 - DIS