The seeds should not have low entropy, according to NAG. I think I read something similar about the seeds for the Intel Fortran RNG. The aim of my random_init_zig subroutine is to let the user specify high-entropy seeds by supplying a single integer.
The random number generator supplied as the intrinsic subroutine RANDOM_NUMBER is the “Mersenne Twister”.
Note that this generator has a large state (630 32-bit integers) and an extremely long period (approx 106000), and therefore it is strongly recommended that the RANDOM_SEED routine only be used with a PUT argument that is the value returned by a previous call with GET; i.e., only to repeat a previous sequence. This is because if a user-specified seed has low entropy (likely since there are 630 values to be supplied), it is highly likely to set the generator to an apparently-low-entropy part of the sequence.
If you do want to provide your own seed (and thus entropy), you should store your values in the initial elements of the seed array and set all the remaining elements to zero — trailing zero elements will be ignored and not used to initialise the generator. Note that the seed is a random bitstream, and is therefore expected to have approximately half of its bits nonzero (thus providing many small integer values will likely result in a low-entropy part of the Mersenne Twister sequence being reached).