diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index d91be2d1f36c1..4b506a23f9fb2 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -1734,8 +1734,15 @@ def icol(self, i):
                     return self.ix[:, i]
 
             values = self._data.iget(i)
-            return self._col_klass.from_array(values, index=self.index,
-                                              name=label)
+            if hasattr(self,'default_fill_value'):
+                s = self._col_klass.from_array(values, index=self.index,
+                                               name=label,
+                                               fill_value= self.default_fill_value)
+            else:
+                s = self._col_klass.from_array(values, index=self.index,
+                                               name=label)
+
+            return s
 
     def _ixs(self, i, axis=0):
         if axis == 0:
diff --git a/pandas/sparse/series.py b/pandas/sparse/series.py
index 9e4228d3ef25f..8be9e2b5c7d75 100644
--- a/pandas/sparse/series.py
+++ b/pandas/sparse/series.py
@@ -147,11 +147,11 @@ def __new__(cls, data, index=None, sparse_index=None, kind='block',
         return output
 
     @classmethod
-    def from_array(cls, arr, index=None, name=None, copy=False):
+    def from_array(cls, arr, index=None, name=None, copy=False,fill_value=None):
         """
         Simplified alternate constructor
         """
-        return SparseSeries(arr, index=index, name=name, copy=copy)
+        return SparseSeries(arr, index=index, name=name, copy=copy,fill_value=fill_value)
 
     def __init__(self, data, index=None, sparse_index=None, kind='block',
                  fill_value=None, name=None, copy=False):
diff --git a/pandas/tests/test_frame.py b/pandas/tests/test_frame.py
index 7787a5c6e4fc7..2db2851bb6abc 100644
--- a/pandas/tests/test_frame.py
+++ b/pandas/tests/test_frame.py
@@ -1327,6 +1327,11 @@ def test_irow_icol_duplicates(self):
         xp = df.ix[:, [0]]
         assert_frame_equal(rs, xp)
 
+    def test_icol_sparse_propegate_fill_value(self):
+        from pandas.sparse.api import SparseDataFrame
+        df=SparseDataFrame({'A' : [999,1]},default_fill_value=999)
+        self.assertTrue( len(df['A'].sp_values) == len(df.icol(0).sp_values))
+
     def test_iget_value(self):
         for i, row in enumerate(self.frame.index):
             for j, col in enumerate(self.frame.columns):