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Ceballos, H.Becerra López Lavelle, Luis AugustoCalle, FernandoMorante, NelsonOvalle Rivera, Tatiana M.Hershey, Clair H.[Genetic distance and specific combining ability in cassava]Genetic distance and specific combining ability in cassava
Davrieux, FabriceDufour, D.L.Dardenne, PierreBelalcázar, JohnPizarro, MonicaLuna Meléndez, Jorge LuisLondoño, Luis FernandoJaramillo Valencia, Angélica M.Sánchez, TeresaMorante, NelsonCalle, FernandoBecerra López Lavelle, Luis AugustoCeballos, H.[LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations]LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations

Breeding cassava relies on a phenotypic recurrent selection that takes advantage of the vegetative propagation of this crop. Successive stages of selection (single row trial- SRT; preliminary yield trial – PYT; advanced yield trial – AYT; and uniform yield trials UYT), gradually reduce the number...


Barandica, Orlando JoaquiLenis, Jorge I.Calle, FernandoMorante, NelsonPérez, Juan C.Hershey, Clair H.Ceballos, H.[Cassava breeding II: phenotypic correlations through the different stages of selection]Cassava breeding II: phenotypic correlations through the different stages of selection

Past research developed reliable equations to base selections for high β-carotene on near-infrared spectroscopy (NIR) predictions (100 genotypes d−1) rather than with high-performance liquid chromatography (HPLC) (<10 samples d−1). During recent harvest, CIAT made selections based on NIR predicti...


Belalcázar, JohnDufour, D.L.Andersson, Meike S.Pizarro, MónicaLuna, JorgeLondoño, Luis FernandoMorante, NelsonJaramillo Valencia, Angélica M.Pino, LizbethBecerra López Lavelle, Luis AugustoDavrieux, FabriceTalsma, Elise F.Ceballos, H.[High-throughput phenotyping and improvements in breeding cassava for increased carotenoids in the roots]High-throughput phenotyping and improvements in breeding cassava for increased carotenoids in the roots

Cassava (Manihot esculenta, Crantz) is an important food security crop, but it is becoming an important raw material for different industrial applications. Cassava is the second most important source of starch worldwide. Novel starch properties are of interest to the starch industry, and one them...


Karlström, AmandaCalle, FernandoSalazar Erazo, Sandra MilenaMorante, NelsonDufour, D.L.Ceballos, Hernan[Biological implications in cassava for the production of amylose-free starch: impact on root yield and related traits]Biological implications in cassava for the production of amylose-free starch: impact on root yield and related traits
Ceballos, H.Pérez, Juan C.Joaqui B., OrlandoLenis, Jorge I.Morante, NelsonCalle, FernandoHershey, Clair H.[Replication Data for: Cassava Breeding I: The value of breeding value]Replication Data for: Cassava Breeding I: The value of breeding value

The significance of cassava as a crop in tropical countries means that developing improved varieties is key to the sustainability of cassava production. This chapter examines how understanding the utilization of cassava can inform breeding objectives for developing improved varieties of cassava. ...


Ceballos, H.Morante, NelsonCalle, FernandoLenis, Jorge I.Salazar Erazo, Sandra Milena[Developing new cassava varieties: tools, techniques and strategies]Developing new cassava varieties: tools, techniques and strategies

Breeding cassava relies on several selection stages (single row trial-SRT; preliminary; advanced; and uniform yield trials—UYT). This study uses data from 14 years of evaluations. From more than 20,000 genotypes initially evaluated only 114 reached the last stage. The objective was to assess how ...


Ceballos, H.Pérez, Juan C.Barandica, Orlando JoaquiLenis, Jorge I.Morante, NelsonCalle, FernandoPino, LizbethHershey, Clair H.[Cassava Breeding I: The value of breeding value]Cassava Breeding I: The value of breeding value
Davrieux, FabriceDufour, D.L.Dardenne, PierreBelalcázar, JohnPizarro, MonicaLuna Meléndez, Jorge LuisLondono, LuisJaramillo Valencia, Angélica M.Sánchez, TeresaMorante, NelsonCalle, FernandoBecerra López Lavelle, Luis AugustoCeballos, H.[Local regression algorithm improves NIRS predictions when the target constituent evolves in breeding populations]Local regression algorithm improves NIRS predictions when the target constituent evolves in breeding populations

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