diff --git a/python/lsst/meas/algorithms/pcaPsfDeterminer.py b/python/lsst/meas/algorithms/pcaPsfDeterminer.py
index f90c33319..6c957b5aa 100644
--- a/python/lsst/meas/algorithms/pcaPsfDeterminer.py
+++ b/python/lsst/meas/algorithms/pcaPsfDeterminer.py
@@ -211,6 +211,8 @@ def determinePsf(self, exposure, psfCandidateList, metadata=None, flagKey=None):
         psfCellSet : `lsst.afw.math.SpatialCellSet`
            The PSF candidates.
         """
+        psfCandidateList = self.downsampleCandidates(psfCandidateList)
+
         import lsstDebug
         display = lsstDebug.Info(__name__).display
         displayExposure = lsstDebug.Info(__name__).displayExposure     # display the Exposure + spatialCells
diff --git a/tests/test_psfDetermination.py b/tests/test_psfDetermination.py
index 6b9e2be31..2179b8929 100755
--- a/tests/test_psfDetermination.py
+++ b/tests/test_psfDetermination.py
@@ -457,6 +457,22 @@ def testDownsamplePca(self):
         """Test PCA determiner with downsampling.
         """
         self.setupDeterminer()
+        metadata = dafBase.PropertyList()
+
+        # Decrease the maximum number of stars.
+        self.psfDeterminer.config.maxCandidates = 10
+
+        stars = self.starSelector.run(self.catalog, exposure=self.exposure)
+        psfCandidateList = self.makePsfCandidates.run(stars.sourceCat, self.exposure).psfCandidates
+        psf, cellSet = self.psfDeterminer.determinePsf(self.exposure, psfCandidateList, metadata)
+
+        # Confirm that only 10 candidates have valid chi2 values.
+        nGoodChi2 = 0
+        for cand in psfCandidateList:
+            if cand.getChi2() < 1e10:
+                nGoodChi2 += 1
+
+        self.assertEqual(nGoodChi2, 10)
 
 
 class PsfCandidateTestCase(lsst.utils.tests.TestCase):