diff --git a/biggus/_init.py b/biggus/_init.py
index 2b378c8..18eb0df 100644
--- a/biggus/_init.py
+++ b/biggus/_init.py
@@ -701,6 +701,10 @@ def ndarray(self):
         except AttributeError:
             return np.array(self.array)
 
+    @property
+    def __array_priority__(self):
+        return self.array.__array_priority__
+
     def masked_array(self):
         try:
             return self.array.masked_array()
@@ -1322,6 +1326,10 @@ def fill_value(self):
     def shape(self):
         return _sliced_shape(self.concrete.shape, self._keys)
 
+    @property
+    def __array_priority__(self):
+        return self.concrete.__array_priority__
+
     def _cleanup_new_key(self, key, size, axis):
         """
         Return a key of type int, slice, or tuple that is guaranteed
diff --git a/biggus/tests/test_integration.py b/biggus/tests/test_integration.py
index ac3c345..aea5532 100644
--- a/biggus/tests/test_integration.py
+++ b/biggus/tests/test_integration.py
@@ -17,6 +17,7 @@
 from __future__ import absolute_import, division, print_function
 from six.moves import (filter, input, map, range, zip)  # noqa
 
+import mock
 import unittest
 
 import numpy as np
@@ -49,6 +50,26 @@ def test_mean_of_mean(self):
         result = mean2.ndarray()
         np.testing.assert_array_equal(result, expected)
 
+    def test_masked_array_numpy_first_biggus_second(self):
+        # Ensure that an operation where the biggus array is second (i.e.
+        # calling the special method of the numpy array not the biggus array,
+        # returns the expected type).
+        mask = [False, True, False]
+        arr = np.ma.array([1, 2, 3], mask=mask)
+        barr = biggus.NumpyArrayAdapter(arr)
+        result = (np.array([[1.]]) * barr).masked_array()
+        target = np.array([[1.]]) * arr
+
+        np.testing.assert_array_equal(result, target)
+        np.testing.assert_array_equal(result.mask, target.mask)
+
+    def test_no_array_priority_attribute_present(self):
+        arr = biggus.ConstantArray((3), 1.0)
+        barr = biggus.NumpyArrayAdapter(arr)
+        result = np.array([[1.]]) * barr
+        target = np.array([[1.]]) * arr
+        np.testing.assert_array_equal(result, target)
+
 
 if __name__ == '__main__':
     unittest.main()