Autor:
Zhang, Li
Gezan, Salvador A.
Vallejos, C. Eduardo
Jones, James W.
Boote, Kenneth J.
Clavijo Michelangeli, Jose A.
Bhakta, Mehul S.
Osorno, Juan M.
Rao, Idupulapati M.
Beebe, Stephen E.
Roman Paoli, Elvin O.
González, Abiezer
Beaver, James S.
Ricaurte Oyola, José Jaumer
Colbert, Raphael
Correll, Melanie J.
To select a plant genotype that will thrive in targeted environments it is critical to understand the genotype by environment interaction (GEI). In this study, multi-environment QTL analysis was used to characterize node addition rate (NAR, node day− 1) on the main stem of the common bean (Phaseo...
Enlace original:
https://cgspace.cgiar.org/handle/10568/80542
Zhang, Li
,
Gezan, Salvador A.
,
Vallejos, C. Eduardo
,
Jones, James W.
,
Boote, Kenneth J.
,
Clavijo Michelangeli, Jose A.
,
Bhakta, Mehul S.
,
Osorno, Juan M.
,
Rao, Idupulapati M.
,
Beebe, Stephen E.
,
Roman Paoli, Elvin O.
,
González, Abiezer
,
Beaver, James S.
,
Ricaurte Oyola, José Jaumer
,
Colbert, Raphael
,
Correll, Melanie J.
,
[Development of a QTL-environment-based predictive model for node addition rate in common bean]
,
Development of a QTL-environment-based predictive model for node addition rate in common bean