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	<title>Control Freaks</title>
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	<description>Wyoming Weed Science in (almost) Real Time</description>
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		<title>The evidence of GMO harm in pig study is pretty flimsy</title>
		<link>http://weedcontrolfreaks.com/2013/06/gmo-pig/</link>
		<comments>http://weedcontrolfreaks.com/2013/06/gmo-pig/#comments</comments>
		<pubDate>Wed, 12 Jun 2013 04:03:40 +0000</pubDate>
		<dc:creator>Andrew Kniss</dc:creator>
				<category><![CDATA[Crops]]></category>
		<category><![CDATA[GMO]]></category>
		<category><![CDATA[Judy Carman]]></category>
		<category><![CDATA[pig health hurt by GMO feed]]></category>
		<category><![CDATA[Roundup Ready]]></category>
		<category><![CDATA[statistics]]></category>
		<category><![CDATA[stomach inflammation]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=951</guid>
		<description><![CDATA[The latest really scary paper regarding GMOs has been circulated widely on Twitter today, primarily by the usual suspects (Bittman, Pollan, and many others). The paper (available here, on the blog of the primary author Judy Carman) is titled &#8220;A long-term toxicology study on pigs fed a combined genetically modified (GM) soy and GM maize diet.&#8221;  The [...]]]></description>
				<content:encoded><![CDATA[<p>The latest really scary paper regarding GMOs has been circulated widely on Twitter today, primarily by the usual suspects (</span><a style="font-size: 14px;" href="https://twitter.com/bittman/status/344561819916046338" target="_blank">Bittman</a><span style="font-size: 14px;">, </span><a style="font-size: 14px;" href="https://twitter.com/michaelpollan/status/344546127057678336" target="_blank">Pollan</a><span style="font-size: 14px;">, and many others). The paper (</span><a style="font-size: 14px;" href="http://gmojudycarman.org/wp-content/uploads/2013/06/The-Full-Paper.pdf" target="_blank">available here</a><span style="font-size: 14px;">, on the blog of the primary author </span><a style="font-size: 14px;" href="http://gmojudycarman.org/" target="_blank">Judy Carman</a><span style="font-size: 14px;">) is titled &#8220;</span><em style="font-size: 14px;">A long-term toxicology study on pigs fed a combined genetically modified (GM) soy and GM maize diet.</em><span style="font-size: 14px;">&#8221;  The study has already been criticized for various reasons by </span><a style="font-size: 14px;" href="http://gmopundit.blogspot.com/" target="_blank">David Tribe</a><span style="font-size: 14px;"> and </span><a style="font-size: 14px;" href="http://www.marklynas.org/2013/06/gmo-pigs-study-more-junk-science/" target="_blank">Mark Lynas</a><span style="font-size: 14px;">. The authors of the study fed pigs for <strike>nearly 2 years</strike> 22.7 weeks with either a &#8220;GM&#8221; or a &#8220;non-GM&#8221; diet. The GM diet was a mixture of corn and soybean that had Bt and glyphosate-resistance traits. The non-GM diet apparently has a similar amount of corn and soybean, but used non-GM conventional varieties instead. The authors measured LOTS of things, and mostly found there was no statistical differences between the GM and non-GM diets.</p>
<p>I don&#8217;t have time to do a full critique, but there is at least one statistical choice that I found odd, and thought I&#8217;d throw it out there for others to discuss. The authors claim to have found 2 differences between groups of pigs fed the different diets, and that has been the basis for the widespread interest in this study, particularly among folks who are anti-biotechnology. From the abstract:</p>
<blockquote><p>&#8220;There were no differences between pigs fed the GM and non-GM diets for feed intake, weight gain, mortality, and routine blood biochemistry measurements. The GM diet was associated with gastric and uterine differences in pigs. GM-fed pigs had uteri that were 25% heavier than non-GM fed pigs (p=0.025). GM-fed pigs had a higher rate of severe stomach inflammation with a rate of 32% of GM-fed pigs compared to 12% of non-GM-fed pigs (p=0.004). The severe stomach inflammation was worse in GM-fed males compared to non-GM fed males by a factor of 4.0 (p=0.041), and GM-fed females compared to non-GM fed females by a factor of 2.2 (p=0.034).&#8221;</p></blockquote>
<p>So the GM diet apparently resulted in increased uterus weight, and increased stomach inflammation compared to the non-GM diet. Table 2 in the manuscript presents organ weights, and as described in the abstract, the uterus. Since I don&#8217;t have the benefit of raw data, I suppose we&#8217;ll have to trust the authors on this one, that the uterus weight was greater in GM-fed vs non-GM fed pigs. Group means were 0.12 and 0.10 for pigs in the GM and non-GM groups, respectively. Table 2 doesn&#8217;t list the units for any of the numbers, so I don&#8217;t know if the weights are in grams, kilograms, ounces, metric tons&#8230; As a plant scientist, I really have no concept of what a normal pig uterus should weigh. Or any uterus, for that matter. But I digress. <em>[UPDATE: it was recently pointed out to me that the numbers are a percentage of total body weight. So 0.1 and 0.12% of body weight, I guess. I still don't really know if that is good, bad, or normal. Go ahead and let me know in the comments if you like.]</em></p>
<p>The second major finding of this study relates to stomach inflammation. The authors present in Table 3 of the manuscript &#8220;gross pathologies&#8221; related to various organs. For the stomach, the authors list 4 different categories related to inflammation:</p>
<ul>
<li><span style="line-height: 14px;">Nil inflammation</span></li>
<li>Mild inflammation</li>
<li>Moderate inflammation</li>
<li>Severe inflammation</li>
</ul>
<p>The authors compared the number of pigs that fell into each category independently, and found no differences between GM and non-GM groups with respect to Nil, Mild, or Moderate inflammation categories. But the authors found that there were more pigs from the GM-fed group with &#8220;Severe inflammation&#8221; compared to the non-GM group. And this is the major finding of the study; that &#8220;GM-fed pigs had a higher rate of severe stomach inflammation.&#8221;</p>
<p>But this seems to me a very strange way to analyze this data. The 4 categories the authors used to classify stomach inflammation are what is known as <a href="http://en.wikipedia.org/wiki/Ordinal_data" target="_blank">ordinal categorical data</a>, and are pretty common in the <a href="http://scholar.google.com/scholar?q=ordinal+categorical+data+analysis&amp;btnG=&amp;hl=en&amp;as_sdt=0%2C51&amp;as_vis=1" target="_blank">literature</a>. The typical way to analyze ordinal data is to give values to each category, and conduct <strike>either a t-test or</strike>a Mann-Whitney (also called Wilcoxson) test. <em>[EDIT: many other tests are possible, the Mann-Whitney being among the simplest.]</em> The reason for this, is that there is structure to the data; that is, Mild inflammation is worse than Nil inflammation. And Severe is worse than the other three categories. We lose that information by separating them for analysis the way the authors of the pig study did. All 4 categories give information about stomach inflammation, and if we look only at &#8220;severe&#8221; inflammation, we lose the additional information the other categories provide. A proper analysis would include the structure of these data.</p>
<p>Since the authors present the number of animals in each category, we can analyze the data in a more standard way. I&#8217;ve provided the R code for doing so if you&#8217;d like to follow along at home. We&#8217;re going to use <strikethrough>both a t-test and</strikethrough> the Wilcoxson test and see if the results are similar to what Carman et al. concluded.</p>
<pre>## Coding: Nil = 0, Mild = 1, Moderate = 2, Severe = 3
## enter the non-GM diet data:
nonGM.fed&lt;-c(rep(0,4),rep(1,31),rep(2,29),rep(3,9))

## enter the GM diet data:
GM.fed&lt;-c(rep(0,8),rep(1,23),rep(2,18),rep(3,23))
</pre>
<p>[TABLE OMITTED in response to a <a href="http://weedcontrolfreaks.com/2013/06/gmo-pig/comment-page-1/#comment-13090">valid criticism in the comments by Steve Kass</a>.]<br />
<strike>This table shows the number of pigs in each treatment group, and the mean and median values for stomach inflammation, based on the coding we used (Nil = 0, Mild = 1, Moderate = 2, Severe = 3). The mean inflammation values basically tell us that, on average, pigs on the non-GM diet had mild to moderate stomach inflammation, and the GM-fed pigs were only slightly different (1.59 vs 1.78). But are these values statistically different? Below is the code (and output) using a t-test and a Wilcoxson (Mann-Whitney) test:</strike><br />
[NOTE: I've left the code for t-test below, but as pointed out by several commenters, the Wilcoxson test is more appropriate for this data.]</p>
<pre>t.test(nonGM.fed,GM.fed)
# Welch Two Sample t-test
# t = -1.248, df = 132.574, <strong><em>p-value = 0.2142</em></strong>

wilcox.test(nonGM.fed,GM.fed)
# Wilcoxon rank sum test with continuity correction
# W = 2325, <strong><em>p-value = 0.2081</em></strong></pre>
<p>Notice the p-values in the <strike>t-test and</strike> Mann-Whitney test. Much higher than those reported by the authors who only analyzed the severe group. But does it hold up by running the males and females separately, as the authors did in Table 4?</p>
<pre>## Males
male.nonGM.fed&lt;-c(rep(0,1),rep(1,16),rep(2,17),rep(3,2))
male.GM.fed&lt;-c(rep(0,4),rep(1,12),rep(2,12),rep(3,8))
#t.test(male.nonGM.fed,male.GM.fed)

wilcox.test(male.nonGM.fed,male.GM.fed)
#	Wilcoxon rank sum test with continuity correction
# W = 600, <strong><em>p-value = 0.5669</em></strong>

## Females
female.nonGM.fed&lt;-c(rep(0,3),rep(1,15),rep(2,12),rep(3,7))
female.GM.fed&lt;-c(rep(0,4),rep(1,11),rep(2,6),rep(3,15))
#t.test(female.nonGM.fed,female.GM.fed)

wilcox.test(female.nonGM.fed,female.GM.fed)
#	Wilcoxon rank sum test with continuity correction
# W = 564, <strong><em>p-value = 0.2408</em></strong></pre>
<p>If I were to have analyzed these data, using the statistical techniques that I was taught were appropriate for the type of data, I would have concluded there was no statistical difference in stomach inflammation between the pigs fed the two different diets. To analyze these data the way the authors did makes it seem like they&#8217;re trying to find a difference, where none really exist.</p>
<p>&nbsp;</p>
<p><strong>UPDATE: June 13, 2013</strong></p>
<p>I&#8217;ve been accused by whoever runs the <span style="text-decoration: line-through;"><a href="http://gmoseralini.org/en/" target="_blank">gmoseralini.org</a></span> whoops&#8230; I mean the <a href="http://gmojudycarman.org/" target="_blank">gmojudycarman.org</a> website of <a href="http://gmojudycarman.org/reply-to-andrew-kniss-blog-on-statistics/" target="_blank">failing &#8220;kindergarten-level statistics</a>.&#8221; I think that <a href="http://www.corestandards.org/Math/Content/K/introduction" target="_blank">may be a slight exaggeration</a>. Nonetheless, I will very briefly address their criticism. Bill Price has already addressed this to some extent <a href="http://weedcontrolfreaks.com/2013/06/gmo-pig/comment-page-1/#comment-12946">in the comments</a>:</p>
<p>Now, reasonable people can certainly disagree on how data should be analyzed. If there were only one correct way to analyze data, there would be far fewer statisticians in the world. But I stand by my view (and Dr. Price seems to agree) that is is inappropriate to collect data by categorizing into 4 ordinal categories, but then ignore that structure in the analysis. I concede that the Mann-Whitney (or Wilcoxson) test is more appropriate for this data compared to the t-test (both of which I presented above), but both tests above show the same result: very little evidence that the diets caused different amounts of stomach inflammation.</p>
<p>In the response at gmojudycarman.org, they state:</p>
<blockquote><p>&#8220;Categorical data are data that fit into categories, such as male / female or pregnant / not pregnant.  [Kniss] has tried to turn this sort of data into data that is continuous, like you get with body weight or height.  This is really bad statistical methodology.  It is like taking pregnant / not pregnant data and trying to twist that data into groups that could be described as: pregnant, half pregnant and fully pregnant.  And you are right, it doesn’t make sense to even try to do something like that.&#8221;</p></blockquote>
<p>Well, that&#8217;s an interesting statement&#8230; because that is exactly what the Carmen et al. authors did, right? They &#8220;twisted&#8221; inflammed/not inflammed into Nil, Mild, Moderate, and Severe inflammation. Personally, I don&#8217;t have a problem with using these categories (although the authors now seem to think it is &#8220;bad statistical methodology&#8221;??). My problem is with analyzing them separately.</p>
<p>There are different types of categorical data. The data described in the quote above is of a binomial nature (on/off, pregnant/not pregnant, present/absent, alive/dead). The data presented by the Carmen paper is more than that; it is Nil, Mild, Moderate, Severe. There are four different categories, that have a distinct order. Each category has meaning, and is linked to the others (Moderate is greater than Mild, but less than Severe). But this bit of criticism brings up an interesting question: what if we look at the data as a binary categorization (inflammed/not inflammed)? Let&#8217;s do that!</p>
<pre>### Inflammed or not inflammed
## enter the non-GM diet data:
nonGM.fed&lt;-c(rep(0,4),rep(1,69))
## enter the GM diet data:
GM.fed&lt;-c(rep(0,8),rep(1,64))

N.obs&lt;-c(length(nonGM.fed),length(GM.fed))
num.inflam&lt;-c(sum(nonGM.fed),sum(GM.fed))
pct.inflam&lt;-round(num.inflam/N.obs*100,0)
data.frame(N.obs,num.inflam,pct.inflam,row.names=c("nonGM","GM"))
</pre>
<p>&nbsp;</p>
<table>
<tbody>
<tr>
<td></td>
<td>Number of pigs</td>
<td>Number with stomach inflammation</td>
<td>Percentage of animals with stomach inflammation</td>
</tr>
<tr>
<td>nonGM</td>
<td>73</td>
<td>69</td>
<td>95</td>
</tr>
<tr>
<td>GM</td>
<td>72</td>
<td>64</td>
<td>89</td>
</tr>
</tbody>
</table>
<p>Looking at the data this way, <strong>the GM-fed pigs had LESS inflammation!</strong> A whopping 95% of the animals fed non-GM feed had stomach inflammation, compared to 89% of the animals fed GM diets. That&#8217;s a lot of stomach inflammation. Is this difference statistically significant?</p>
<pre>
wilcox.test(nonGM.fed,GM.fed)

	Wilcoxon rank sum test with continuity correction

data:  nonGM.fed and GM.fed 
W = 2776, p-value = 0.2216
alternative hypothesis: true location shift is not equal to 0 
</pre>
<p>The p-value is 0.22, so not much evidence that there is a difference. And I don&#8217;t care what type of fancy statistical test you use, <strong>you simply can&#8217;t make the case that the GM-fed pigs were worse off if they had LESS stomach inflammation compared to the non-GM fed pigs.</strong><br />
&nbsp;</p>
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		<slash:comments>57</slash:comments>
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		<item>
		<title>Laurie Garrett gets things surprisingly wrong on the Colbert Report</title>
		<link>http://weedcontrolfreaks.com/2013/06/laurie-garrett-gets-things-surprisingly-wrong-on-the-colbert-report/</link>
		<comments>http://weedcontrolfreaks.com/2013/06/laurie-garrett-gets-things-surprisingly-wrong-on-the-colbert-report/#comments</comments>
		<pubDate>Thu, 06 Jun 2013 18:42:34 +0000</pubDate>
		<dc:creator>Andrew Kniss</dc:creator>
				<category><![CDATA[Crops]]></category>
		<category><![CDATA[GMO]]></category>
		<category><![CDATA[Colbert Report]]></category>
		<category><![CDATA[comedy]]></category>
		<category><![CDATA[superweed]]></category>
		<category><![CDATA[wheat]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=938</guid>
		<description><![CDATA[Strange times indeed. I woke up this morning to find several folks in my twitter stream alerting me to an interview on the &#8220;Colbert Report.&#8221; The interview was supposed to be about the GM wheat found recently in Oregon. Near the beginning of the interview, Colbert asks (humorously) how the GM wheat survived, wondering if it [...]]]></description>
				<content:encoded><![CDATA[<div class="wp-caption alignleft" style="width: 150px"><a href="http://en.wikipedia.org/wiki/Stephen_Colbert"><img class=" " alt="Stephen Colbert" src="http://upload.wikimedia.org/wikipedia/commons/thumb/c/c3/Stephen_Colbert_4_by_David_Shankbone.jpg/220px-Stephen_Colbert_4_by_David_Shankbone.jpg" width="140" height="165" /></a><p class="wp-caption-text">Stephen Colbert</p></div>
<p>Strange times indeed. I woke up this morning to find <a href="https://twitter.com/nutsci/status/342486806064951297" target="_blank">several folks</a> in my twitter stream <a href="https://twitter.com/mem_somerville/status/342625166293073921" target="_blank">alerting me</a> to an interview on the &#8220;Colbert Report.&#8221; The interview was supposed to be about the <a href="http://weedcontrolfreaks.com/2013/05/glyphosate-resistant-wheat-found-in-oregon/" target="_blank">GM wheat found recently in Oregon</a>. Near the beginning of the interview, Colbert asks (humorously) how the GM wheat survived, wondering if it had been &#8220;doing a Rambo out there, living on mud puddles and grubs?&#8221;</p>
<p>Laurie Garrett immediately goes completely off-topic and responds:</p>
<blockquote><p><strong>Garrett:</strong> &#8220;The one thing we know, is that there are 24 strains of so-called superweeds. These are giant weeds that are very hard to kill, because they&#8217;ve absorbed these strange genes that make them resistant&#8230;&#8221;</p>
<p>&nbsp;</p>
<p><strong>Colbert:</strong>  &#8221;In some wheat, there&#8217;s a gene in there that keeps Roundup from killing it, and that can jump to the weeds its trying to kill?&#8221;</p>
<p>&nbsp;</p>
<p><strong>Garrett:</strong>  &#8221;Exactly.&#8221;</p></blockquote>
<p>Exactly?? I don&#8217;t know what Laurie Garrett&#8217;s area of expertise is. Before this interview was brought to my attention on Twitter, I&#8217;d never heard of her. But she obviously knows very little about genetics, crop science, or weed management. This exchange is really quite baffling to me. Ms. Garrett apparently thinks that the 24 different &#8220;<a href="http://weedcontrolfreaks.com/2013/05/superweed/" target="_blank">superweeds</a>&#8221; (I presume she really means <em>glyphosate-resistant weeds</em>) have become glyphosate-resistant by &#8220;absorbing strange genes&#8221; from Roundup Ready wheat. The most troubling part, to me, is that she begins her statement with <strong>&#8220;The one thing we know&#8230;&#8221;</strong> and then proceeds to say something that is a complete fabrication.</p>
<p>Of the <a href="http://weedscience.org/summary/MOA.aspx" target="_blank">24 weed species confirmed to be glyphosate-resistant</a>, not a single one became resistant by hybridizing (or &#8220;absorbing&#8221; a gene, as Ms. Garrett describes it) from a crop. All glyphosate-resistant weeds found to date have evolved due to selection of naturally occurring resistant biotypes within a population by repeated use of the herbicide. Absolutely no crop transgenes have ever been found in a glyphosate-resistant weed. This could be possible in the future, particularly in the case of crops with closely related weed species (such as <a href="http://jointedgoatgrass.wsu.edu/jointedgoatgrass/bulletins/EM024.pdf" target="_blank">wheat and jointed goatgrass</a>). But it has not happened to date.</p>
<p>Ms. Garrett then talks about the &#8220;Farmers Assurance Provision&#8221; and says that it:</p>
<blockquote><p>&#8220;makes it impossible to sue genetically modified crop issues.&#8221;</p></blockquote>
<p>I presume she is talking about the same paragraph that had been dubbed the &#8220;<a href="http://www.geneticliteracyproject.org/2013/04/01/monsanto-protection-act-separating-the-facts-from-the-fury/" target="_blank">Monsanto Protection Act</a>&#8221; by anti-GMO folks. <em id="__mceDel" style="font-size: 14px;"><a href="http://www.opencongress.org/bill/113-h933/text?version=enr&amp;nid=t0:enr:358" target="_blank">The text of that provision is here</a>:</em></p>
<blockquote><p>Sec. 735. In the event that a determination of non-regulated status made pursuant to section 411 of the Plant Protection Act is or has been invalidated or vacated, the Secretary of Agriculture shall, notwithstanding any other provision of law, upon request by a farmer, grower, farm operator, or producer, immediately grant temporary permit(s) or temporary deregulation in part, subject to necessary and appropriate conditions consistent with section 411(a) or 412(c) of the Plant Protection Act, which interim conditions shall authorize the movement, introduction, continued cultivation, commercialization and other specifically enumerated activities and requirements, including measures designed to mitigate or minimize potential adverse environmental effects, if any, relevant to the Secretary’s evaluation of the petition for non-regulated status, while ensuring that growers or other users are able to move, plant, cultivate, introduce into commerce and carry out other authorized activities in a timely manner: Provided, That all such conditions shall be applicable only for the interim period necessary for the Secretary to complete any required analyses or consultations related to the petition for non-regulated status: Provided further, That nothing in this section shall be construed as limiting the Secretary’s authority under section 411, 412 and 414 of the Plant Protection Act.</p></blockquote>
<p>I don&#8217;t see anything in Section 735 that says anything about not being able to sue Monsanto. This paragraph gives absolutely no protection to Monsanto whatsoever with respect to GM wheat being found in Oregon. Perhaps Ms. Garrett was talking about a different provision put into a continuing resolution?</p>
<p>I realize that the Colbert Report is a comedy show, and that his shtick is to be over the top. I personally watch the show regularly and think it is quite funny. So it&#8217;s difficult to be too upset about this. But during the interview, Laurie Garrett makes two claims, both of which are completely untrue. Personally, I would be a little wary of going on ANY show, even a comedy show, and simply making things up. Particularly if I wanted to keep any sort of credibility as a <a href="http://en.wikipedia.org/wiki/Laurie_Garrett" target="_blank">Pulitzer Prize winning science journalist.</a></p>
<p>Here is the Colbert Report clip:</p>
<div style="background-color: #000000; width: 520px;">
<div style="padding: 4px;">
<p><iframe src="http://media.mtvnservices.com/embed/mgid:cms:video:colbertnation.com:426876" height="288" width="512" frameborder="0"></iframe></p>
<p style="text-align: left; background-color: #ffffff; padding: 4px; margin-top: 4px; margin-bottom: 0px; font-family: Arial, Helvetica, sans-serif; font-size: 12px;"><b>The Colbert Report</b><br />
Get More: <a href="http://www.colbertnation.com/full-episodes/">Colbert Report Full Episodes</a>,<a href="http://www.comedycentral.com/indecision">Indecision Political Humor</a>,<a href="http://www.colbertnation.com/video">Video Archive</a></p>
</div>
</div>
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		<item>
		<title>Glyphosate resistant wheat found in Oregon</title>
		<link>http://weedcontrolfreaks.com/2013/05/glyphosate-resistant-wheat-found-in-oregon/</link>
		<comments>http://weedcontrolfreaks.com/2013/05/glyphosate-resistant-wheat-found-in-oregon/#comments</comments>
		<pubDate>Wed, 29 May 2013 20:41:30 +0000</pubDate>
		<dc:creator>Andrew Kniss</dc:creator>
				<category><![CDATA[Crops]]></category>
		<category><![CDATA[GMO]]></category>
		<category><![CDATA[glyphosate]]></category>
		<category><![CDATA[Monsanto]]></category>
		<category><![CDATA[wheat]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=925</guid>
		<description><![CDATA[USDA-APHIS announced recently that volunteer wheat growing in an Oregon field has been confirmed to be resistant to glyphosate. Reports indicate the glyphosate resistance is due to the same transgenic event that was used in Monsanto&#8217;s Roundup Ready wheat. More information from the National Association of Wheat Growers and Agri-Pulse. The good news is that [...]]]></description>
				<content:encoded><![CDATA[<p><a href=" http://www.aphis.usda.gov/newsroom/2013/05/ge_wheat_detection.shtml">USDA-APHIS announced</a> recently that volunteer wheat growing in an Oregon field has been confirmed to be resistant to glyphosate. Reports indicate the glyphosate resistance is due to the same transgenic event that was used in Monsanto&#8217;s Roundup Ready wheat. More information from the <a href="http://www.wheatworld.org/aphisinvestigation/">National Association of Wheat Growers</a> and <a href="http://www.agri-pulse.com/Unapproved-GE-wheat-found-in-Oregon-field-05292013.asp">Agri-Pulse</a>. The good news is that this wheat event has already been reviewed by the FDA (back in 2004) and found to be as safe as conventional wheat for food and feed uses. So this finding poses no risk to the food supply.</p>
<p><strong>UPDATE:</strong> <a href="http://monsantoblog.com/2013/05/29/monsantos-statement-on-the-usda-report-on-gm-wheat-in-oregon/">Monsanto&#8217;s response can be found here.</a> In their statement, they seem to hold some doubt that the wheat found actually has Monsanto&#8217;s glyphosate resistant transgene. From the Monsanto statement:</p>
<blockquote><p>The necessary testing requires sophisticated methods, considerable expertise and meticulous laboratory techniques to generate reliable results. Commercial test strips, which are used to detect the presence of glyphosate tolerance in soybeans, canola, cotton and sugar beets, generate a very high incidence of false positive detections (greater than 90 percent) and are not reliable for wheat. We have asked for information necessary to confirm the presence of the Roundup Ready trait in the samples that were tested.  Up to this point, Monsanto has not received details about the testing USDA has performed, nor has UDSA provided us with samples necessary to verify their findings</p></blockquote>
<p>I&#8217;ve heard the information about false positives from using test strips for other crops before, so if this is indeed the method used to &#8220;confirm&#8221; the presence of the gene, then I would reserve judgement until the results are confirmed using other methods.</p>
<p><strong>UPDATE 2:</strong> I&#8217;ve just learned that the wheat plant(s) in question were tested by 2 independent laboratories within Oregon State University for the presence of the glyphosate resistance transgene using a variety of molecular methods. APHIS was notified shortly after these tests confirmed the presence of the transgene, which led APHIS to begin their own investigation. So it seems that there is little doubt that the glyphosate resistant wheat in Oregon has the glyphosate-resistant transgene, and did not evolve glyphosate-resistance independently. The main question now, is how did it get there?</p>
<p><strong>UPDATE 3:</strong> <strike>The <a href="http://www.biofortified.org/community/forum/genetic-engineering-group3/news-forum12/glyphosate-tolerant-wheat-found-in-oregon-thread337.0/#postid-2090">Biofortified blog has a great collection of information about this story</a> that will be updated as more information is known</strike> The Biofortified post has been removed for some reason&#8230;</p>
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		<title>Supreme Court sides with Monsanto about seed patents</title>
		<link>http://weedcontrolfreaks.com/2013/05/supreme-court-sides-with-monsanto-about-seed-patents/</link>
		<comments>http://weedcontrolfreaks.com/2013/05/supreme-court-sides-with-monsanto-about-seed-patents/#comments</comments>
		<pubDate>Mon, 13 May 2013 16:49:10 +0000</pubDate>
		<dc:creator>Andrew Kniss</dc:creator>
				<category><![CDATA[Crops]]></category>
		<category><![CDATA[GMO]]></category>
		<category><![CDATA[Monsanto]]></category>
		<category><![CDATA[patent law]]></category>
		<category><![CDATA[Roundup Ready]]></category>
		<category><![CDATA[SCOTUS]]></category>
		<category><![CDATA[seed patents]]></category>
		<category><![CDATA[soybean]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=918</guid>
		<description><![CDATA[This wasn&#8217;t really a surprise to anyone, but the Supreme Court released their decision and opinion in the Bowman v. Monsanto Co. case. The case revolved around a farmer purchasing soybean seed from a local elevator, planting the seed, spraying it with Roundup, then harvesting the seed to plant the following season. He did this for [...]]]></description>
				<content:encoded><![CDATA[<p>This wasn&#8217;t really a surprise to anyone, but the Supreme Court released their decision and opinion in the <em>Bowman v. Monsanto Co.</em> case. The case revolved around a farmer purchasing soybean seed from a local elevator, planting the seed, spraying it with Roundup, then harvesting the seed to plant the following season. He did this for several seasons in a row. The supreme court ruled unanimously (9-0) that what the farmer did violated patent law. The supreme court decision (authored by Justice Kagan) can be read in its entirety <a href="http://www.supremecourt.gov/opinions/12pdf/11-796_c07d.pdf">here</a>. Some excerpts from the opinion:</p>
<blockquote><p>&#8220;The question in this case is whether a farmer who buys patented seeds may reproduce them  through planting and harvesting without the patent holder’s permission. We hold that he may not.&#8221;</p></blockquote>
<p>A fairly clear decision. The nuts and bolts of their reasoning:</p>
<blockquote><p>&#8220;Under the patent exhaustion doctrine, Bowman could resell the patented soybeans he  purchased from the grain elevator; so too he could consume the beans himself or feed them to his animals. Monsanto, although the patent holder, would have no business interfering in those uses of Roundup Ready beans. But the exhaustion doctrine does not enable Bowman to make additional patented soybeans without Monsanto’s permission (either express or implied). And that is precisely what Bowman did. He took the soybeans he purchased home; planted them in his fields at the time he thought best; applied glyphosate to kill weeds (as well as any soy plants lacking the Roundup Ready trait); and finally harvested more (many more) beans than he started with. That is how “to <em id="__mceDel"><em id="__mceDel">‘make’ a new product,” to use Bowman’s words, when the </em></em><em id="__mceDel"><em id="__mceDel"><em id="__mceDel"><em id="__mceDel">original product is a seed.&#8221;</em></em></em></em></p></blockquote>
<blockquote><p>&#8220;Because Bowman thus reproduced Monsanto’s patented invention, the exhaustion doctrine does not protect him.&#8221;</p></blockquote>
<p>And they were careful to limit their decision today from being expanded to other types of self-replicating technologies:</p>
<blockquote><p>&#8220;Our holding today is limited—addressing the situation before us, rather than every one involving a self-replicating product. We recognize that such inventions are becoming ever more prevalent, complex, and diverse. In another case, the article’s self-replication might occur outside the purchaser’s control. Or it might be a necessary but incidental step in using the item for another purpose.&#8221;</p></blockquote>
<p>Also, have a read through <a href="http://www.npr.org/blogs/thetwo-way/2013/05/13/183603368/supreme-court-rules-for-monsanto-in-case-against-farmer">NPR&#8217;s coverage of the decision</a>.</p>
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		<title>Can we PLEASE stop using the term &#8220;superweed&#8221;?</title>
		<link>http://weedcontrolfreaks.com/2013/05/superweed/</link>
		<comments>http://weedcontrolfreaks.com/2013/05/superweed/#comments</comments>
		<pubDate>Thu, 02 May 2013 02:31:10 +0000</pubDate>
		<dc:creator>Andrew Kniss</dc:creator>
				<category><![CDATA[Crops]]></category>
		<category><![CDATA[GMO]]></category>
		<category><![CDATA[A hard look at GM crops]]></category>
		<category><![CDATA[glyphosate]]></category>
		<category><![CDATA[GM crops]]></category>
		<category><![CDATA[herbicide resistance]]></category>
		<category><![CDATA[Natasha Gilbert]]></category>
		<category><![CDATA[Nature]]></category>
		<category><![CDATA[Palmer amaranth]]></category>
		<category><![CDATA[Roundup]]></category>
		<category><![CDATA[Roundup Ready]]></category>
		<category><![CDATA[super weed]]></category>
		<category><![CDATA[superweed]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=897</guid>
		<description><![CDATA[In the latest issue of Nature, Natasha Gilbert takes “A hard look at GM crops.” Ms. Gilbert states: &#8220;it can be hard to see where scientific evidence ends and dogma and speculation begin.” &#160; &#8220;Researchers, farmers, activists and GM seed companies all stridently promote their views, but the scientific data are often inconclusive or contradictory. Complicated [...]]]></description>
				<content:encoded><![CDATA[<p>In the latest issue of Nature, Natasha Gilbert takes “<a title="A hard look at GM crops - Nature.com" href="http://www.nature.com/news/case-studies-a-hard-look-at-gm-crops-1.12907" target="_blank">A hard look at GM crops</a>.” Ms. Gilbert states:</p>
<blockquote><p>&#8220;it can be hard to see where scientific evidence ends and dogma and speculation begin.”</p>
<p>&nbsp;</p>
<p>&#8220;Researchers, farmers, activists and GM seed companies all stridently promote their views, but the scientific data are often inconclusive or contradictory. Complicated truths have long been obscured by the fierce rhetoric.&#8221;</p></blockquote>
<p>I agree wholeheartedly. Especially when browsing the internet, there is a lot of misinformation, half-truths, and outright lies about GM crops. I&#8217;m always glad to see this topic approached with scientific rigor, and I expected an outlet like Nature to do just that. The point of Ms. Gilbert&#8217;s article was to separate fact from fiction with respect to some often heard claims about genetically modified (GM) crops. One of the three issues Ms. Gilbert chose to tackle in her article is the claim that “GM crops have bred superweeds,” and she considers this statement “True.”</p>
<p>I was a little disappointed to see the term “superweeds” in any type of scientific publication. <a href="https://twitter.com/WyoWeeds/status/197363669535948800" target="_blank">I have repeatedly expressed my displeasure with this term</a>, and my graduate students know better than to ever use the word around me. To see it in a publication as reputable as Nature is exceptionally frustrating. But at least this article would be approached with some “scientific evidence” rather than “dogma and speculation”, right? But as I read through the section on <i>superweeds</i>, I saw very little that resembled scientific evidence; rather, lots of opinions, anecdotes, interesting tidbits, some facts and figures, and a fairly compelling narrative. But no “scientific evidence.”</p>
<p>The lack of any scientific evidence in the article probably relates to my biggest beef with the term <i>superweed</i>: nobody seems to know what the hell a <i>superweed</i> is. To determine whether “GM crops have bred superweeds” at least two things are needed:</p>
<ol>
<li>a definition of the term <i>superweed</i>, and</li>
<li>data that relate use of GM crops to development of <i>superweeds</i>.</li>
</ol>
<p>Let&#8217;s begin by trying to define <i>superweed</i>. Certainly, the term indicates that the weed is <i>super</i> in some way; it must possess some trait that is above and beyond an ordinary weed. Like a superhero that has some ability that the general public does not. So what is this “super” trait that <i>superweeds</i> possess? Can a <i>superweed</i> grow faster than the Incredible Hulk? Or can a <i>superweed</i> spin a web like the Amazing Spiderman? Or maybe a <i>superweed</i> can fly like Superman!</p>
<p>Most of the time, the term superweed is associated in some way with herbicide resistance. So if we define <i>superweed</i> as a weed that has evolved resistance to herbicides, we can then test the hypothesis that “GM crops have bred superweeds.” <span style="color: #3366ff;">(ASIDE: The way this statement is phrased, there&#8217;s no way it can possibly be true, because crops don&#8217;t “breed” weeds. There are some rare cases where crops and weeds cross pollinate, but those have not resulted in any herbicide resistant weeds to date. For the sake of argument, we&#8217;ll assume Ms. Gilbert really meant “GM crops have significantly increased the development of superweeds.”)</span> Dr. Ian Heap has developed and maintained a website to document new cases of herbicide resistant weeds, and we can use the data at that site to get an idea of whether this statement is true or false using our definition of <em>superweed</em>.</p>
<p>If GM crops have contributed significantly to the development of herbicide resistant weeds, we would expect the number of unique instances of these <em>superweeds</em> to increase following adoption of GM crops. The figure below illustrates all unique cases of herbicide resistant weeds between 1986 and 2012. I have fit a linear regression to the data from 1986 to 1996 (time period before widespread GM crop adoption) and another regression to the time period 1997 to 2012.</p>
<p style="text-align: center;"><a href="http://weedcontrolfreaks.com/wp-content/uploads/2013/05/HerbicideResistanceOverTime.png" target="_blank"><img class="aligncenter size-full wp-image-898" alt="HerbicideResistanceOverTime" src="http://weedcontrolfreaks.com/wp-content/uploads/2013/05/HerbicideResistanceOverTime.png" width="600" height="333" /></a></p>
<p>The slope of the linear regression is an estimate of the number of new herbicide resistant weeds documented each year. In the eleven year period before GM crops were widely grown, approximately 13 new cases of herbicide resistance were documented annually. After GM crop adoption began in earnest, the number of new herbicide resistant weeds DECREASED to 11.4 cases per year. The difference in slopes between these two time periods is probably not very meaningful from a practical standpoint. But based on the best data available, we can be quite certain that adoption of GM crops has NOT caused an increase in development of <i>superweeds</i> compared to other uses of herbicides.</p>
<p>Perhaps this definition of <i>superweed</i> is too broad. Let&#8217;s define it instead as only “glyphosate-resistant” weeds. The first glyphosate-resistant weed was documented in 1996. This is approximately the same time GM crops were first being introduced into the market. But this first <i>superweed</i> evolved in Australia, where no GM crops were grown. So it is obvious that GM crops are not necessary for glyphosate-resistant <i>superweeds </i>to develop. Certainly, adoption of Roundup Ready crops (the dominant GM herbicide resistance trait) has increased the use of glyphosate in cropland, and therefore increased selection pressure for glyphosate-resistant weed populations. But even so, there are currently more instances of glyphosate-resistant weeds in non-GM crops/sites than in GM crops. The following chart (from <a href="http://www.weedscience.org/">www.weedscience.org</a>) illustrates the number of cases of glyphosate-resistant weed species in various crops/sites.</p>
<p style="text-align: center;"><a href="http://weedcontrolfreaks.com/wp-content/uploads/2013/05/GlyphosateResistantWeeds_byCrop.png" target="_blank"><img class="aligncenter size-full wp-image-900" alt="GlyphosateResistantWeeds_byCrop" src="http://weedcontrolfreaks.com/wp-content/uploads/2013/05/GlyphosateResistantWeeds_byCrop.png" width="600" height="485" /></a></p>
<p>The only 3 GM crops on the chart are soybean, corn, and cotton. All of the other bars represent non-GM systems. If we add up the number of herbicide resistant species in GM crops and compare it to non-GM crops/sites, we should expect GM crops to have a higher number if GM crops are the primary contributor to evolution of <i>superweeds</i>. However:</p>
<ul>
<li>35 species of glyphosate-resistant weeds are present in GM crops (soybean, corn, cotton).</li>
<li>40 species of glyphosate-resistant weeds are present in non-GM crops/sites (orchards, grapes, roadsides, wheat, fencelines, fruit, barley).</li>
</ul>
<p>So again, there appears to be no strong difference between GM crops and other sites where glyphosate is used. So this data again suggest that GM crops are not any more problematic than other uses of glyphosate for selection of <i>superweeds.</i></p>
<p>One deficiency in the above graph is that it doesn&#8217;t indicate where the weeds first evolved. Perhaps they evolved in GM crops, but then moved to infest other sites represented in the bar chart above. So instead, let&#8217;s take a look at WHERE the glyphosate-resistant weed species FIRST EVOLVED. Of the 24 glyphosate-resistant species documented worldwide, 11 of these <i>superweeds</i> first evolved in GM crops; compared to 13 <i>superweeds </i>that have evolved in non-GM crops/sites. <em>Read those numbers again</em>. And check out the figure below, looking at where and when glyphosate-resistant <i>superweeds</i> first evolved.</p>
<p style="text-align: center;"><a href="http://weedcontrolfreaks.com/wp-content/uploads/2013/05/GlyphosateResistanceOverTime1.png" target="_blank"><img class="aligncenter size-full wp-image-904" alt="GlyphosateResistanceOverTime" src="http://weedcontrolfreaks.com/wp-content/uploads/2013/05/GlyphosateResistanceOverTime1.png" width="600" height="333" /></a></p>
<p>Almost any way you look at the data, it appears that GM crops are no greater contributor to the evolution of <em>superweeds</em> than other uses of herbicides. Which makes sense, because GM crops don&#8217;t select for herbicide resistant weeds; herbicides do. Herbicide resistant weed development is not a GMO problem, it is a herbicide problem.</p>
<p>It is important to note that the glyphosate-resistant weed species<i> </i>that have had the most economic impact are those that evolved first in GM crops (in particular, the Palmer amaranth noted in Ms. Gilbert&#8217;s article). But this is primarily because it is these weed species that were the most economically damaging to begin with (before they acquired their super-powers). But the Palmer amaranth narrative is what leads many people to conclude that glyphosate-resistant weeds are primarily a problem in GM crops. Certainly, Roundup Ready crops have increased the amount of glyphosate used in cropland, and this increased glyphosate use has contributed to the evolution of some new glyphosate-resistant weeds. No one can dispute that. But glyphosate-resistant weeds evolved due to glyphosate use, not directly due to GM crops. And to date, there have been more new cases of glyphosate-resistant <i>superweeds</i> documented in non-GM crops/sites than in GM crops. So it is difficult to make the case that GM crops are any more problematic than other uses of herbicides with respect to <em>superweed</em> development. Unless, of course, you rely on dogma and speculation.</p>
<p>Now, can we PLEASE stop using the term superweed?</p>
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		<title>The drought continues&#8230;</title>
		<link>http://weedcontrolfreaks.com/2013/04/drought-continues/</link>
		<comments>http://weedcontrolfreaks.com/2013/04/drought-continues/#comments</comments>
		<pubDate>Thu, 25 Apr 2013 17:01:44 +0000</pubDate>
		<dc:creator>Andrew Kniss</dc:creator>
				<category><![CDATA[Crops]]></category>
		<category><![CDATA[Weather]]></category>
		<category><![CDATA[Drought]]></category>
		<category><![CDATA[Winter wheat]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=880</guid>
		<description><![CDATA[The latest USDA-NASS crop weather report for Wyoming didn&#8217;t paint a very bright picture for the state. Winter wheat condition was rated at 38% good, 39% fair, and 23% poor or very poor. Yesterday, I was out looking at our winter wheat research plots at SAREC near Lingle, WY. I&#8217;d say my wheat strip falls [...]]]></description>
				<content:encoded><![CDATA[<p>The latest <a href="http://www.nass.usda.gov/" target="_blank">USDA-NASS</a> crop weather report for Wyoming didn&#8217;t paint a very bright picture for the state. Winter wheat condition was rated at 38% good, 39% fair, and 23% poor or very poor. Yesterday, I was out looking at our winter wheat research plots at <a href="http://www.uwyo.edu/uwexpstn/centers/sarec/" target="_blank">SAREC</a> near Lingle, WY. I&#8217;d say my wheat strip falls squarely into the &#8220;very poor&#8221; category. I took a few photos of the plots to document the wheat condition. This morning, I searched through my hard drive to see if I had any photos of winter wheat from this time of year in a more &#8220;normal&#8221; precipitation year. I found a photo from April 12, 2006 for comparison. Below you can see what &#8220;Excellent&#8221; winter wheat looks like from April of 2006, compared to &#8220;Very poor&#8221; wheat from April of 2013.</p>
<div id="attachment_889" class="wp-caption aligncenter" style="width: 610px"><a href="http://weedcontrolfreaks.com/wp-content/uploads/2013/04/WheatComparison.png"><img class="size-full wp-image-889" alt="WheatComparison" src="http://weedcontrolfreaks.com/wp-content/uploads/2013/04/WheatComparison.png" width="600" height="250" /></a><p class="wp-caption-text">Winter wheat at SAREC, near Lingle, WY</p></div>
<p>The good news is that we&#8217;ve recently gotten a lot of snow across the region. However, even with the significant precipitation, <a title="Drought Monitor" href="http://droughtmonitor.unl.edu/" target="_blank">most of Wyoming, Nebraska, and Colorado are still in Severe or Extreme drought.</a> I doubt the recent moisture will be enough to salvage any yield from this site, but perhaps some of the wheat that was in &#8220;Poor&#8221; or &#8220;Fair&#8221; condition will be able to use the recent precipitation to make a crop.</p>
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		<title>Using ethofumesate when irrigating for emergence</title>
		<link>http://weedcontrolfreaks.com/2013/04/using-pre-herbicides-when-irrigating-for-emergence/</link>
		<comments>http://weedcontrolfreaks.com/2013/04/using-pre-herbicides-when-irrigating-for-emergence/#comments</comments>
		<pubDate>Tue, 02 Apr 2013 03:53:41 +0000</pubDate>
		<dc:creator>Andrew Kniss</dc:creator>
				<category><![CDATA[Crops]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[ethofumesate]]></category>
		<category><![CDATA[herbicide]]></category>
		<category><![CDATA[irrigation]]></category>
		<category><![CDATA[Nortron]]></category>
		<category><![CDATA[sugar beet]]></category>
		<category><![CDATA[sugarbeet]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=777</guid>
		<description><![CDATA[by Andrew Kniss &#38; Abdel Mesbah At a recent meeting in Powell, I was asked how to best use ethofumesate (active ingredient in Nortron SC and other herbicides) in fields that must be furrow irrigated for sugarbeet emergence. This is a difficult question. Ethofumesate (and almost all soil applied herbicides) require soil moisture to be [...]]]></description>
				<content:encoded><![CDATA[<address>by Andrew Kniss &amp; Abdel Mesbah</address>
<p>At a recent meeting in Powell, I was asked how to best use ethofumesate (active ingredient in <a title="Nortron SC Label" href="http://www.cdms.net/ldat/ld3P2018.pdf" target="_blank">Nortron SC</a> and <a title="Ethotron SC Label" href="http://www.cdms.net/ldat/ld64D001.pdf" target="_blank">other herbicides</a>) in fields that must be furrow irrigated for sugarbeet emergence. This is a difficult question. Ethofumesate (and almost all soil applied herbicides) require soil moisture to be effective. Ideally, residual herbicides should be applied to the soil shortly before either rainfall or overhead irrigation. Growers who have sprinkler systems in their field can apply 0.5-inches of irrigation water after ethofumesate application, and this will be enough to activate the herbicide.</p>
<p>Furrow irrigated fields in the Big Horn Basin of Wyoming present a problem for soil-applied herbicide incorporation. The primary issue is that we simply do not receive enough precipitation in the spring to allow crops to germinate and emerge without irrigation. This is different from many other growing regions, even those where irrigation is required. For example, in the southeast part of the state (Goshen County), irrigation is required for sugarbeet production, but spring rains are regular enough that it is uncommon to irrigate for emergence. Rainfall is not something we can depend on in the Big Horn Basin of Wyoming; average precipitation (rain and snow combined) is less than 6 inches <strong>annually</strong> in Powell.</p>
<p>Because of the limited precipitation, sugarbeet growers in the Big Horn Basin create beds (usually in the spring), then plant the crop on the top of the beds. The bedding operation creates the furrows that are required to irrigate the field to stimulate germination and emergence. Although the ideal situation would be to make the beds, apply the herbicide, and pray for rain, most prayers for rain go unanswered in Powell. <em><strong>So the question is: when (and how) do we apply the preemergence herbicide in relation to bedding and planting.<span id="more-777"></span></strong></em></p>
<p>In 2004 through 2006, Dr. Abdel Mesbah and Dr. Steve Miller conducted research to answer this very question. They applied Nortron (either as a standard liquid spray, or impregnated on dry fertilizer) at two rates: 1.25 lbs or 2.5 lbs of ethofumesate ai per acre. These are both relatively high rates for our region; 1.25 pounds of ethofumesate ai is equivalent to 40 fluid ounces of Nortron per acre. Nortron rates of 24 to 32 fluid ounces per acre are more common. The reason they used higher rates in the study was to ensure that they would be able to observe any injury that may be caused by the application methods and bedding procedures. After applying Nortron, they incorporated the herbicide into the soil with a roller harrow, and then created the beds. They used two implements for the bedding operation; either with &#8220;large&#8221; or &#8220;small&#8221; soil movement.</p>
<div id="attachment_854" class="wp-caption alignnone" style="width: 395px"><a href="http://weedcontrolfreaks.com/wp-content/uploads/2013/04/Bedding_SmallSoilMovement.jpg"><img class=" wp-image-854 " alt="Bedding operation with &quot;small&quot; soil movement." src="http://weedcontrolfreaks.com/wp-content/uploads/2013/04/Bedding_SmallSoilMovement.jpg" width="385" height="288" /></a><p class="wp-caption-text">Bedding operation with &#8220;small&#8221; soil movement.</p></div>
<div id="attachment_853" class="wp-caption alignnone" style="width: 370px"><a href="http://weedcontrolfreaks.com/wp-content/uploads/2013/04/Bedding_LargeSoilMovement.jpg"><img class=" wp-image-853 " alt="Bedding operation with &quot;large&quot; soil movement." src="http://weedcontrolfreaks.com/wp-content/uploads/2013/04/Bedding_LargeSoilMovement.jpg" width="360" height="240" /></a><p class="wp-caption-text">Bedding operation with &#8220;large&#8221; soil movement.</p></div>
<p>The reasoning behind this is that if we move a large amount of soil during the bedding operation, there is potential to have very high concentrations on top of the beds (where the soil is being moved to) and a low concentration in the furrows (where the soil is being moved from). This could potentially result in poor weed control in the furrows, and greater potential for sugarbeet injury on the beds. After the bedding operations, sugarbeet were planted, stands were counted, injury was evaluated, and the studies were harvested at the end of the year to evaluate yield.</p>
<p>No sugarbeet stand loss was observed in any treatment in any year of the study. Injury symptoms were minor in 2004 and 2006, especially at the 1.25 lbs ai/A rate; however, ethofumesate injury was substantial in 2005. Liquid applications of ethofumesate caused more injury compared with dry applications on impregnated fertilizer. The amount of soil movement did not have a major impact on the amount of injury observed.</p>
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<td rowspan="1" colspan="3" align="center" valign="bottom">Sugarbeet injury</td>
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<tr>
<td align="left" valign="bottom">Soil movement</td>
<td align="left" valign="bottom">Ethofumesate type</td>
<td align="center" valign="bottom">Ethofumesate rate</td>
<td align="center" valign="bottom">2004</td>
<td align="center" valign="bottom">2005</td>
<td align="center" valign="bottom">2006</td>
</tr>
<tr>
<td></td>
<td></td>
<td align="center" valign="bottom">lbs/A</td>
<td rowspan="1" colspan="3" align="center" valign="bottom">&#8212;&#8212;&#8212; % &#8212;&#8212;&#8212;</td>
</tr>
<tr>
<td align="left" valign="bottom">Large</td>
<td align="left" valign="bottom">Liquid</td>
<td align="center" valign="bottom">1.25</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">30</td>
<td align="center" valign="bottom">0</td>
</tr>
<tr>
<td></td>
<td></td>
<td align="center" valign="bottom">2.5</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">35</td>
<td align="center" valign="bottom">13</td>
</tr>
<tr>
<td></td>
<td align="left" valign="bottom">Impregnated</td>
<td align="center" valign="bottom">1.25</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">0</td>
</tr>
<tr>
<td></td>
<td align="left" valign="bottom"></td>
<td align="center" valign="bottom">2.5</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">25</td>
<td align="center" valign="bottom">7</td>
</tr>
<tr>
<td align="left" valign="bottom">Small</td>
<td align="left" valign="bottom">Liquid</td>
<td align="center" valign="bottom">1.25</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">25</td>
<td align="center" valign="bottom">0</td>
</tr>
<tr>
<td></td>
<td></td>
<td align="center" valign="bottom">2.5</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">33</td>
<td align="center" valign="bottom">10</td>
</tr>
<tr>
<td></td>
<td align="left" valign="bottom">Impregnated</td>
<td align="center" valign="bottom">1.25</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">10</td>
<td align="center" valign="bottom">0</td>
</tr>
<tr>
<td></td>
<td align="left" valign="bottom"></td>
<td align="center" valign="bottom">2.5</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">17</td>
<td align="center" valign="bottom">5</td>
</tr>
<tr>
<td align="left" valign="bottom">Check</td>
<td></td>
<td></td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0</td>
<td align="center" valign="bottom">0</td>
</tr>
</tbody>
</table>
<p>Sugarbeet yield followed a similar pattern as visual injury evaluations. If ethofumesate was applied as a dry impregnated fertilizer treatment, sugarbeet yields were similar or greater than the check (no ethofumesate) in all 3 years. Liquid applications of ethofumesate caused a reduction in yield regardless of rate. The amount of soil movement had no observable impact on sugarbeet yield.</p>
<table cellspacing="0" cellpadding="3">
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td rowspan="1" colspan="3" align="center" valign="bottom">Sugarbeet yield</td>
</tr>
<tr>
<td align="left" valign="bottom">Soil movement</td>
<td align="left" valign="bottom">Ethofumesate type</td>
<td align="center" valign="bottom">Ethofumesate rate</td>
<td align="center" valign="bottom">2004</td>
<td align="center" valign="bottom">2005</td>
<td align="center" valign="bottom">2006</td>
</tr>
<tr>
<td></td>
<td></td>
<td align="center" valign="bottom">lbs/A</td>
<td colspan="3" align="left" valign="bottom">&#8212;&#8212;&#8211; tons/A &#8212;&#8212;&#8211;</td>
</tr>
<tr>
<td align="left" valign="bottom">Large</td>
<td align="left" valign="bottom">Liquid</td>
<td align="center" valign="bottom">1.25</td>
<td align="center" valign="bottom">25.2</td>
<td align="center" valign="bottom">19.0</td>
<td align="center" valign="bottom">24.5</td>
</tr>
<tr>
<td></td>
<td></td>
<td align="center" valign="bottom">2.5</td>
<td align="center" valign="bottom">25.9</td>
<td align="center" valign="bottom">17.2</td>
<td align="center" valign="bottom">23.0</td>
</tr>
<tr>
<td></td>
<td align="left" valign="bottom">Impregnated</td>
<td align="center" valign="bottom">1.25</td>
<td align="center" valign="bottom">27.5</td>
<td align="center" valign="bottom">24.4</td>
<td align="center" valign="bottom">24.1</td>
</tr>
<tr>
<td></td>
<td align="left" valign="bottom"></td>
<td align="center" valign="bottom">2.5</td>
<td align="center" valign="bottom">25.8</td>
<td align="center" valign="bottom">21.7</td>
<td align="center" valign="bottom">22.7</td>
</tr>
<tr>
<td align="left" valign="bottom">Small</td>
<td align="left" valign="bottom">Liquid</td>
<td align="center" valign="bottom">1.25</td>
<td align="center" valign="bottom">25.2</td>
<td align="center" valign="bottom">18.7</td>
<td align="center" valign="bottom">23.6</td>
</tr>
<tr>
<td></td>
<td></td>
<td align="center" valign="bottom">2.5</td>
<td align="center" valign="bottom">25.5</td>
<td align="center" valign="bottom">17.2</td>
<td align="center" valign="bottom">22.6</td>
</tr>
<tr>
<td></td>
<td align="left" valign="bottom">Impregnated</td>
<td align="center" valign="bottom">1.25</td>
<td align="center" valign="bottom">26.7</td>
<td align="center" valign="bottom">24.3</td>
<td align="center" valign="bottom">24.8</td>
</tr>
<tr>
<td></td>
<td align="left" valign="bottom"></td>
<td align="center" valign="bottom">2.5</td>
<td align="center" valign="bottom">26.8</td>
<td align="center" valign="bottom">23.1</td>
<td align="center" valign="bottom">23.6</td>
</tr>
<tr>
<td align="left" valign="bottom">Check</td>
<td></td>
<td></td>
<td align="center" valign="bottom">&#8211;</td>
<td align="center" valign="bottom">22.1</td>
<td align="center" valign="bottom">20.2</td>
</tr>
</tbody>
</table>
<p>This research indicates that the amount of soil movement during the bedding operation is not a major contributor to sugarbeet injury from ethofumesate. Ethofumesate rate and formulation type will influence the amount of injury observed. <strong>Ethofumesate applied on impregnated fertilizer increased the safety compared with liquid applications</strong>. If applying ethofumesate in sugarbeet before the bedding operation, impregnated fertilizer is the safest method. Reducing the ethofumesate application rate can also increase safety to the sugarbeet crop. Ethofumesate rates of 0.75 to 1.0 lbs ai/A (24 to 32 fluid ounces of Nortron), mechanically incorporated into the soil, then bedded should provide acceptable control of early season weeds while minimizing risk of injury to the sugarbeet crop.</p>
<h2>For best results:</h2>
<ul>
<li>Apply ethofumesate as either a liquid spray or as a dry formulation:
<ul>
<li>If applying ethofumesate as a liquid spray, apply 24 to 32 fluid ounces per acre, and mechanically incorporate.</li>
<li>If applying dry fertilizer impregnated with ethofumesate, apply 32 fluid ounces per acre and mechanically incorporate.</li>
</ul>
</li>
<li>Use a roller-harrow or other implement to incorporate the ethofumesate uniformly to a 2-inch depth.</li>
<li>Create beds, and plant.</li>
<li>During the first irrigation, be sure the soil is wetted all the way up to the sugarbeet row to ensure uniform efficacy.</li>
</ul>
<p>It is still possible, even when using these best practices, that certain environmental conditions could cause sugarbeet injury. Heavy precipitation (rain or snow) shortly after planting presents the greatest risk. However, the recommendations above will provide early-season weed control while minimizing the potential for crop injury.</p>
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		<title>New Wyoming Weed Watchlist Field Guide Available!</title>
		<link>http://weedcontrolfreaks.com/2013/03/new-wyoming-weed-watchlist-field-guide-available/</link>
		<comments>http://weedcontrolfreaks.com/2013/03/new-wyoming-weed-watchlist-field-guide-available/#comments</comments>
		<pubDate>Fri, 15 Mar 2013 23:44:39 +0000</pubDate>
		<dc:creator>Brian Mealor</dc:creator>
				<category><![CDATA[Early Detection Rapid Response]]></category>
		<category><![CDATA[Range & Pasture]]></category>
		<category><![CDATA[Weed ID]]></category>
		<category><![CDATA[EDRR]]></category>
		<category><![CDATA[New Weeds]]></category>
		<category><![CDATA[Weed Identification]]></category>
		<category><![CDATA[Weed Watchlist]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=723</guid>
		<description><![CDATA[A new publication from the University of Wyoming Extension is now available! The Wyoming Weed Watchlist Field Guide is designed to enhance prevention and early detection efforts of weeds not yet widely established in Wyoming. It was developed by students enrolled in the University of Wyoming&#8217;s Invasive Plant Ecology course of fall semester 2010. Each weed profile [...]]]></description>
				<content:encoded><![CDATA[<p>A new publication from the University of Wyoming Extension is now available! The Wyoming Weed Watchlist Field Guide is designed to enhance prevention and early detection efforts of weeds not yet widely established in Wyoming. It was developed by students enrolled in the University of Wyoming&#8217;s Invasive Plant Ecology course of fall semester 2010. Each weed profile is written by a different student, so some variability in areas of focus is apparent. However, the information is supported by literature and is considered accurate and current. The field guide is not intended as a management handbook, but rather an educational tool for outdoor recreationalists, natural resource professionals, tourists, gardeners, agriculturalists, and others to aid in identification of unfamiliar, yet extremely important, weeds in the region. The highest leverage step in reducing potential impact of new invasive weeds in Wyoming is to detect new populations before they can become wellestablished. Small, new populations are easier to control than larger, older populations. The Field Guide is 8.5 x 11 spiral bound with pages for notes.<br />
<a href="http://www.wyomingextension.org/publications/Search_Details.asp?pubid=1823"><img class="alignnone size-medium wp-image-725" alt="Weed Watchlist Cover" src="http://weedcontrolfreaks.com/wp-content/uploads/2013/03/Presentation1-231x300.jpg" width="231" height="300" /></a></p>
<p>To download a free PDF version of the field guide or to order your own hard copy, please click <a title="Wyoming Weed Watchlist Field Guide" href="http://www.wyomingextension.org/publications/Search_Details.asp?pubid=1823" target="_blank">HERE</a>.</p>
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		<title>The Control Freaks are going to San Diego!</title>
		<link>http://weedcontrolfreaks.com/2013/03/off-to-meetings-for-the-week/</link>
		<comments>http://weedcontrolfreaks.com/2013/03/off-to-meetings-for-the-week/#comments</comments>
		<pubDate>Sun, 10 Mar 2013 02:40:46 +0000</pubDate>
		<dc:creator>Andrew Kniss</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=715</guid>
		<description><![CDATA[ The Control Freaks are headed to San Diego for the annual meeting of the Western Society of Weed Science. When all is said and done, University of Wyoming weed science will have presented 12 different papers or posters summarizing a variety of research projects. It&#8217;s been a busy couple of weeks getting everything ready. We will be [...]]]></description>
				<content:encoded><![CDATA[<p><a href="http://www.wsweedscience.org/default.asp"><img class="alignleft" alt="Western Society of Weed Science" src="http://www.wsweedscience.org/Graphics/logo.jpg" width="175" height="92" /></a> The Control Freaks are headed to San Diego for the annual meeting of the <a href="http://www.wsweedscience.org/default.asp" target="_blank">Western Society of Weed Science</a>. When all is said and done, University of Wyoming weed science will have presented <a href="http://www.wsweedscience.org/Meeting/2013/2013%20WSWS%20Program%20San%20Diego.pdf" target="_blank">12 different papers or posters</a> summarizing a variety of research projects. It&#8217;s been a busy couple of weeks getting everything ready. We will be <a title="Recent Posters and Presentations" href="http://weedcontrolfreaks.com/research-results/recent-posters-and-presentations/" target="_blank">posting some of our presentations</a> here on the blog under the Research tab for those of you who aren&#8217;t going to the meetings. We&#8217;ve added 2 posters from the recent Society of Range Management meeting as well as 4 posters from the upcoming WSWS. So feel free to take a look at the <a title="Research" href="http://weedcontrolfreaks.com/research-results/">Research</a> section to see what we&#8217;ve been up to!</p>
<p>We&#8217;re also going to be doing some tweeting from the meeting. If you&#8217;re on Twitter, check out the #WSWSmtg hashtag to see what&#8217;s going on, and be sure to follow Brian (<a href="https://twitter.com/ControlFreaksWY" target="_blank">@ControlFreaksWY</a>) and Andrew (<a href="https://twitter.com/wyoweeds" target="_blank">@WyoWeeds</a>).</p>
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		<title>Weed Management &#8211; The Cost of Doing Nothing</title>
		<link>http://weedcontrolfreaks.com/2013/02/weed-management-the-cost-of-doing-nothing/</link>
		<comments>http://weedcontrolfreaks.com/2013/02/weed-management-the-cost-of-doing-nothing/#comments</comments>
		<pubDate>Mon, 18 Feb 2013 16:32:19 +0000</pubDate>
		<dc:creator>Brian Mealor</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://weedcontrolfreaks.com/?p=657</guid>
		<description><![CDATA[This little thought-piece was originally prepared for the Wyoming Livestock Roundup several years ago, but requests come in every now and then from different sources for it. I thought I would share here so it is more easily available. Every now and then I get a quiet weekend afternoon to take some time for myself. [...]]]></description>
				<content:encoded><![CDATA[<p><strong>This little thought-piece was originally prepared for the Wyoming Livestock Roundup several years ago, but requests come in every now and then from different sources for it. I thought I would share here so it is more easily available.</strong></p>
<p>Every now and then I get a quiet weekend afternoon to take some time for myself. I sometimes take advantage of it by enjoying a book in the shade, walking the river trying to find a trout on the rise or some other creative form of ‘doing nothing.’ Sometimes I am able to temporarily forget about the ‘to do list’ for work and home, and it can be quite rejuvenating. At other times, my peace of mind is constantly bombarded by the realization that my R &amp; R will lead only to an increased workload once it is over.</p>
<p> When making decisions for business or personal reasons one must ensure that benefits exceed the costs, particularly in today’s economic climate, but actions that seem to produce temporary savings today may lead to increased costs in the future. If left unmanaged for even several years, invasive weeds are capable of expanding rapidly, with exponential increase in the negative impacts (such as reductions in livestock forage, crop production or wildlife habitat) felt by the landowner or manager. The decision to implement a weed management program should be evaluated within the context of the particular situation, whether it is a smaller acreage property, a ranch agribusiness or a multi-thousand acre federal grazing allotment. Here we explore the potential impacts of deciding not to actively implement a weed control program or to discontinue an existing program on your property…making the decision to do nothing.</p>
<p> <b>Invasive weeds are capable of rapid spread from existing populations. </b>Although expansion rates vary among weed species and due to site-specific conditions, we can make some assumptions based on published literature. Small, newly established populations have been documented to expand at rates of up to 60% per year. As infestation become large, rates of expansion may decrease for several reasons, but driven largely by resource limitations. One study indicates an expansion rate of 24% per year over a twenty year period averaged across 14 weed species in the Western U.S. Larger infestations lead to larger losses in usable forage for livestock or wildlife. As an example, a 100 acre leafy spurge infestation in rangelands that normally produce 0.3 AUMs per acre can result in an annual forage loss of 30 AUMs (assuming no forage use from infested acres). Over a 10 year period, you will have lost at least 300 AUMs worth of forage; <i>with the assumption that the infestation did not increase in size.</i> Private grazing leases may be up to $20 per AUM, so this particular leafy spurge infestation may cost a rancher up to $6000 over a 10 year period…not to mention the cost of hay to replace lost forage. <b></b></p>
<p><b> </b><b>As individual infestation size increases, the cost of control increases while the probability of eradication decreases. </b>Larger infestations will cost more to control, by default, because more labor and control materials are needed to cover the larger area. Other, less obvious factors also increase potential costs of management. As weeds persist longer in an area and become more dense, the likelihood of controlling the population with a single method decreases: integrated methods including seeding of desirable species may be required. A publication from the University of Nevada discusses the change in costs associated with delaying control on a 75 acre infestation of perennial pepperweed with an expansion rate of 20%, but similar patterns would hold up for other weeds as well. Initial project costs were estimated at $12,647. If the project startup was delayed for only 4 years, those costs were estimated to increase to over $26,000 and to over $54,000 after an 8 year delay in initiating control. If a 30% expansion rate was assumed, a 10-year delay in starting control resulted in a first-year control cost of over $170,000. A California study examined 53 separate weed infestations including 18 different species that were targeted for eradication (complete removal of the weed). Only those infestations less than one acre had a high percentage of successful eradication. Infestations above 100 acres had 25% or less success in eradicating the weed, with labor-hour investments in the tens of thousands. Once a weed infestation passes beyond a few acres, the financial commitment to maintaining the productivity of the infested acres is for the long-term. This not only applies to new infestations, but to those where abandonment of past control efforts have resulted in new expansion of existing infestations. <b></b></p>
<p><b> </b>We are fortunate in Wyoming to have active Weed and Pest Districts that are willing to aid landowners in their weed management efforts. The districts provide cost-sharing opportunities to purchase herbicides for controlling state-listed noxious weeds; further helping to decrease the financial burdens on landowners. So as you make plans for you to-do list this spring and summer, take some time to consider the long-term perspective. An “ounce of prevention” may be far more affordable than the cost of doing nothing.</p>
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