Description
Senescence has tremendous impact on yield and nutritional quality of agricultural produce. However, scant information is available on genetic architecture of senescence in maize (Zea mays L.) despite the importance of stay-green, a delayed senescence phenotype, in this major cereal crop. We combined different approaches including co-expression networks derived from time-course transcriptome analysis of senescence and stay-green to identify unique candidate genes.