Multiple-trait model by Bayesian inference applied to environment efficient Coffea arabica with low-nitrogen nutrient
Author:
Affiliation:
1. Universidade Federal de Viçosa, Brazil
2. Empresa de Pesquisa Agropecuária de Minas Gerais, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0006-87052023000100211&tlng=en
Reference34 articles.
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2. Multi-trait genomic rediction model increased the predictive ability for agronomic and malting quality traits in barley (Hordeum vulgare L.);Bhatta M;G3 Genes Genomes Genetics,2020
3. Effects of nitrogen and potassium on the chemical composition of coffee beans and on beverage quality;Clemente J. M;Acta Scientiarum. Agronomy,2015
4. Acompanhamento da safra brasileira de café,2022
5. Manual de análises químicas de solos, plantas e fertilizantes,2009
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