Your browser doesn't support javascript.
loading
Modeling growth, development and yield of cassava: A review.
Moreno-Cadena, Patricia; Hoogenboom, Gerrit; Cock, James H; Ramirez-Villegas, Julian; Pypers, Pieter; Kreye, Christine; Tariku, Meklit; Ezui, Kodjovi Senam; Becerra Lopez-Lavalle, Luis Augusto; Asseng, Senthold.
Afiliação
  • Moreno-Cadena P; Agricultural and Biological Engineering Department, University of Florida, 101 Frazier Rogers Hall, PO Box 110570, Gainesville, FL, 32611-0570, USA.
  • Hoogenboom G; Alliance of Bioversity International and International Center for Tropical Agriculture (CIAT), km 17 recta Cali-Palmira, 763537, Cali, Colombia.
  • Cock JH; International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
  • Ramirez-Villegas J; Agricultural and Biological Engineering Department, University of Florida, 101 Frazier Rogers Hall, PO Box 110570, Gainesville, FL, 32611-0570, USA.
  • Pypers P; Institute for Sustainable Food Systems, University of Florida, 101 Frazier Rogers Hall, PO Box 110570, Gainesville, FL, 32611-0570, USA.
  • Kreye C; Alliance of Bioversity International and International Center for Tropical Agriculture (CIAT), km 17 recta Cali-Palmira, 763537, Cali, Colombia.
  • Tariku M; Alliance of Bioversity International and International Center for Tropical Agriculture (CIAT), km 17 recta Cali-Palmira, 763537, Cali, Colombia.
  • Ezui KS; CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Cali, Colombia.
  • Becerra Lopez-Lavalle LA; International Institute of Tropical Agriculture (IITA), ICIPE Campus, P.O. Box 30772-00100, Nairobi, Kenya.
  • Asseng S; International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
Field Crops Res ; 267: 108140, 2021 Jun 15.
Article em En | MEDLINE | ID: mdl-34140751
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article