13.10.2013 Views

Tree Improvement Program Project Report 2006 / 2007

Tree Improvement Program Project Report 2006 / 2007

Tree Improvement Program Project Report 2006 / 2007

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

.2.1 Conduct ng a Ser es of So l<br />

Tests n the Kalamalka Larch<br />

Seed Orchards to obta n a<br />

Basel ne Ind cat on of the Levels<br />

of Pythium and Fusarium<br />

(SPU 1303)<br />

Gary G ampa<br />

Object ves<br />

In 2005 Kalamalka lost almost five percent of the ramets<br />

in our larch seed orchards. The trees were either very<br />

productive mature ramets or new transplants with a high<br />

breeding value. An investigation by Michael Peterson<br />

of Applied Forest Sciences indicated the possibility that<br />

pathogen levels in the soil were high enough to cause<br />

a disease threat. If we can determine levels of Pythium<br />

and Fusarium present in the orchards, our management<br />

techniques can be modified to maximise ramet survival and<br />

maintain seed production levels.<br />

Act v t es<br />

In order to obtain a baseline indication of the levels of<br />

Pythium and Fusarium, we made a series of soil tests in<br />

transects across the seed orchards. The samples were then<br />

analysed for pathogens. The samples were collected in the<br />

spring, summer, and fall of <strong>2006</strong>.<br />

Results<br />

These tests indicated that levels of soil-borne Pythium and<br />

Fusarium fungi in both Kalamalka larch seed orchards were<br />

significantly higher than levels that are commonly believed<br />

to lead to disease conditions.<br />

spring summer fall<br />

Pythium<br />

propagules<br />

per gram<br />

average 1834 5545 2271<br />

Fusarium<br />

propagules<br />

per gram<br />

average 3458 9033 3047<br />

Table 23.<br />

T R E E I M P R O V E M E N T P R O G R A M<br />

P R O J E C T R E P O R T 2 0 0 6 / 2 0 0 7<br />

Output and del verables<br />

It is impossible to state conclusively that these high<br />

pathogen levels are causing the mortality in the Kalamalka<br />

larch orchards, but the levels are a concern. In <strong>2007</strong> we<br />

intend to test several different irrigation regimes in our<br />

larch orchards in an effort to reduce these high levels of<br />

harmful pathogens. We will collect and analyse soil samples<br />

to determine the response of the Pythium and Fusarium<br />

fungi to various watering treatments.<br />

.2.1 Collect on of Crop Stat st cs<br />

for Inter or Lodgepole P ne<br />

Orchards<br />

Prepared for M chael Carlson by Joe Webber,<br />

ProSeed Consult ng<br />

The Lodgepole Pine Task Force met on January 25, <strong>2006</strong><br />

(VSOC) and determined the need to develop methodology<br />

for making comparisons among producing lodgepole<br />

pine seed orchards. The underlying concern is that seed<br />

production from north Okanagan orchards is significantly<br />

less than expected. To determine the source of these losses<br />

and make recommendations for orchard management<br />

practices to improve seed production, the task force<br />

required standardized collection of data for all producing<br />

orchards. This project developed standard methods for<br />

estimating the number of cones per tree based on cone<br />

weight, and for estimating cone yields (filled seed per cone,<br />

total seed per cone, seed weight), pollen cloud density,<br />

and seed losses from insect predation. As these data are<br />

collected over several years, trends in yearly variation in<br />

cone numbers and seed yields will help determine why seed<br />

set in the north Okanagan lodgepole pine seed orchards is<br />

chronically low. A summary of the methodology and results<br />

for OTIP project 0722 follows. A detailed final report for<br />

SPU 0722 (<strong>2006</strong>) is available from the OTIP coordinator.<br />

In the spring of <strong>2006</strong>, 15 trees (clones) were selected<br />

to include both early, mid- and late-flowering clones. The<br />

number of cones per tree was estimated by weighing a<br />

known number of cones and the total number of cones<br />

per tree. This method removed a source of error that<br />

resulted from estimating cone numbers per tree by volume.<br />

Figure 59 shows the data for the 15 selected trees (+/-<br />

9

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!