During the August-2014 to July 2015 contract cycle, we will trap, sample, and collect the necessary tissue samples from the 2015 brood of returning adult steelhead at the Twisp River weir, and will collect and sample juvenile progeny in the Twisp River.  All sampling data will be entered in local databases, and the genetic material collected will be transferred to the WDFW Molecular Genetics Lab in Olympia WA, for archiving.

In 2013, we released 49 wild adult steelhead and 54 hatchery adult steelhead upstream of the Twisp River weir.  Wild adult steelhead returning to the Twisp weir were generally larger, had a higher fat content, arrived at the Twisp weir earlier, and spawned earlier than hatchery steelhead.  However, hatchery females returning to the weir had greater fecundity than wild females.  Wild and hatchery steelhead were similar in terms of migration speed and spawning distribution in 2013.  Age-1 parr that were sampled in 2012 and 2013 (i.e., offspring of the 2011 and 2012 broods, respectively) will be genotyped after implementation of the 2014-2015 contract. Preliminary genotyping results from the age-1 progeny that have been genotyped previously suggest that hatchery and wild mothers produced similar numbers of age-1 offspring; however, wild males appeared to produce more offspring than hatchery males.  

Background on project:

We propose to quantitatively evaluate the relative reproductive success of naturally spawning hatchery and natural origin steelhead in the Twisp River, a tributary to the Methow River in the upper Columbia River Basin.  Hatcheries are one of the main tools that have been used to mitigate for salmon losses caused by the construction and operation of the Columbia River hydropower system.  In addition to harvest augmentation, hatcheries have recently been used in attempts to protect stocks from extinction (e.g., captive breeding) and attempts to enhance natural production (supplementation).  Surprisingly, little is known about how much the investment in hatcheries benefits or harms natural production.  We propose to take advantage of recent technological advances in genetics to empirically monitor the reproductive success of hatchery and natural steelhead using a DNA-based pedigree approach.  For this contract period, we will continue to trap and collect DNA and biological data from all steelhead released upstream of the weir, conduct intensive spawning ground surveys and collect DNA samples from progeny (i.e., parr and smolts) of previous brood years.  Specifically, we will (1) directly measure the relative reproductive success of hatchery- and natural-origin steelhead  in a the natural environment, (2) determine the degree to which any differences in reproductive success between hatchery and natural steelhead can be explained by measurable biological characteristics such as run timing, morphology, or behavior, and (3) estimate the relative fitness of hatchery-lineage steelhead after they have experienced an entire generation in the natural environment.

Genotyping of adult steelhead is funding by Douglas County PUD and is not part of this contract.  In addition, juvenile genotyping for the previous contract was deferred until this current contract period per agreements between WDFW and BPA. Hence, parental assignments could not be conducted until the new contract is implemented (2014 - 2015).

In the previous contract, contract # 61956, genotyping of Snake River Fall Chinook samples were added to this project.  This contract will continue that work.

Tissue samples were collected from Chinook salmon broodstock used at the Lyons Ferry Hatchery.  Samples were preserved in 100% ethanol solution and sent to the Washington Department of Fish and Wildlife Molecular Genetics Laboratory in Olympia, WA for analysis.  

The three labs (WDFW, IDFG and CRITFC) will need to all submit their data into the same data base (e.g. CRITFC’s and IDFG database) and submit information annually (number of analyses, etc…) to the run reconstruction team associated with project 2012-013-00 who will be responsible for rolling this information up and reporting  it in their annual project reports.

1,216 samples will be analyzed.