"Flattening" a list of dictionaries

finalMap = {}
for d in fruitColourMapping:
    finalMap.update(d)

{k: v for d in fruitColourMapping for k, v in d.items()}

Rather than deconstructing and reconstructing, just copy and update:

final_map = {}
for fruit_color_definition in fruit_color_mapping:
    final_map.update(fruit_color_definition)

Why copy at all?

In Python 3, you can use the new ChainMap:

A ChainMap groups multiple dicts (or other mappings) together to create a single, updateable view.
The underlying mappings are stored in a list. That list is public and can accessed or updated using the maps attribute. There is no other state. Lookups search the underlying mappings successively until a key is found. In contrast, writes, updates, and deletions only operate on the first mapping.

All you need is this (do change the names to abide by Python naming conventions):

from collections import ChainMap
fruit_colour_mapping = [{'apple': 'red'}, {'banana': 'yellow'}]
final_map = ChainMap(*fruit_colour_mapping)

And then you can use all the normal mapping operations:

# print key value pairs:
for element in final_map.items():
    print(element)

# change a value:
final_map['banana'] = 'green'    # supermarkets these days....

# access by key:
print(final_map['banana'])