W221
A Good Day to Flower: Environmental Dependent Genetic Control of Flowering Time in Common Bean

Date: Saturday, January 10, 2015
Time: 8:40 AM
Room: Pacific Salon 1
Mehul Bhakta , University of Florida, Gainesville, FL
Jose Alejandro Clavijo , University of Florida, Gainesville, FL
Li Zhang , University of Florida, Gainesville, FL
Salvador Gezan , University of Florida, Gainesville, FL
Raphael Colbert , Plant Sciences - North Dakota State University, Fargo, ND
A Gonzalez , University of Puerto Rico, Mayaguez, PR
Mellissa Pissaroglo , University of Florida, Gainesville, FL
Juan Osorno , Dept of Plant Sciences, North Dakota State University, Fargo, ND
Stephen E. Beebe , CIAT, Palmira, Colombia
Jaumer Ricaurte , CIAT, Palmira, Colombia
Elvin Roman-Paoli , University of Puerto Rico, Mayaguez, PR
James Beaver , University of Florida, Mayaguez, PR
Idupulapati Rao , CIAT, Palmira, Colombia
Melanie Correll , University of Florida, Gainesville, FL
Kenneth Boote , University of Florida, Gainesville, FL
James Jones , University of Florida, Gainesville, FL
Carlos Eduardo Vallejos , University of Florida, Gainesville, FL
Common bean is the most important grain legume for direct consumption in human diets supplying necessary protein, carbohydrates, folic acid and micronutrients to more than 300 million people. Their wide range of cultivation in several continents makes it necessary to develop high yielding varieties adapted for various climatic zones throughout the world. The developmental transition (flowering time) from vegetative to reproductive stage plays a vital role in plants adaptability to a given environment. Local climatic cues as well as genetically controlled signal transduction pathways dictate the timing of anthesis. Therefore, genetic manipulation can help us tailor the timing of flowering to develop cultivars adapted to specific climatic zones. This study aimed to locate major genes (G) and environmental (E) factors controlling flowering time in common bean, and to identify and measure G x E interactions. Flowering time phenotype data were collected from a biparental [Andean x Mesoamerican] recombinant inbred population (F11:14, 188 genotypes) grown at five environmentally distinct sites. A dense linkage map with 513 markers (1.8 cM inter-marker distance) was constructed using the genotyping-by-sequencing technology. QTL analysis revealed eleven QTL, and four of these showed strong interaction with the environment. G x E interaction was dissected using linear mixed models, which revealed that temperature, photoperiod and solar radiation interacted with specific QTL thereby playing major role in controlling flowering time.