Accessing the dry matter yield persistence in an alfalfa germplasm within Brazil through random regression models.

Accessing the dry matter yield persistence in an alfalfa germplasm within Brazil through random regression models.

Persistence plays a key role in alfalfa cultivation in tropical areas but is still a bottleneck for breeding programs.

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Bibliographic Details
Main Authors: SANTOS, I. G., PEIXOTO, M. A., CRUZ, C. D., FERREIRA, R. de P., NASCIMENTO, M.
Other Authors: I. G. SANTOS, Universidade Federal de Viçosa; M. A. PEIXOTO, Universidade Federal de Viçosa; C. D. CRUZ, Universidade Federal de Viçosa; REINALDO DE PAULA FERREIRA, CPPSE; M. NASCIMENTO, Universidade Federal de Viçosa.
Format: Anais e Proceedings de eventos biblioteca
Language:Ingles
English
Published: 2023-05-30
Subjects:Genetic trajectory, Artificial neural networks, Medicago Sativa,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154098
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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154098

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