2014
DOI: 10.1007/s10530-014-0799-6
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Population dynamics of redbay (Persea borbonia) after laurel wilt disease: an assessment based on forest inventory and analysis data

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Cited by 15 publications
(7 citation statements)
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“…Nei's expected heterozygosity and Shannon's Information index were 0.60 and 1.17, respectively. Lastly, a total of 15 loci (RB2, 4, 6, 10, 13,14,18,19,22,25,29,30,38,39,53) were found to significantly deviate from Hardy-Weinberg equilibrium (Chi-square test, p>0.05) in the 25 trees included in the study ( Supplementary Table S2). Thus, these results indicate that the 24 redbaygSSR markers which did not exhibit null allelescould reveal high levelsof genetic variation among redbay populations.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Nei's expected heterozygosity and Shannon's Information index were 0.60 and 1.17, respectively. Lastly, a total of 15 loci (RB2, 4, 6, 10, 13,14,18,19,22,25,29,30,38,39,53) were found to significantly deviate from Hardy-Weinberg equilibrium (Chi-square test, p>0.05) in the 25 trees included in the study ( Supplementary Table S2). Thus, these results indicate that the 24 redbaygSSR markers which did not exhibit null allelescould reveal high levelsof genetic variation among redbay populations.…”
Section: Resultsmentioning
confidence: 99%
“…Since the first report of the disease in 2003 on Hilton Head Island, South Carolina, and surrounding areas, thousands of redbays have died in the low country of South Carolina, resulting in loss of 75-80% of Hilton Head's redbays by the end of 2004 [10]. In the past few years, more than 90% mortality rate of large redbays has been reported in some affected sites [9,16,18,25]. Reported a decrease of 91 million redbay stems between the years of 2003 and 2011 in Georgia.…”
Section: Introductionmentioning
confidence: 99%
“…By our final monitoring trips in 2018–2019, 36% of ortets were asymptomatic nearly 10 years after selection (Eicholtz, 2019). Using USDA Forest Service Forest Inventory and Analysis (FIA) data, Shearman et al (2015) developed a logistic regression model to predict the probability of P. borbonia mortality by laurel wilt. They found that every centimetre increase in stem diameter and every additional year of laurel wilt presence increased the chances of death by 5% and 154%, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…Integrating these factors is critical for understanding long-term disease prevention and control. Shearman et al [176] used forest inventory and analysis data to estimate risk factors for redbay. They determined that the presence of laurel wilt in a county increased the odds that a given tree would be killed by approximately 154%, for every year after the initial outbreak, and that mortality rates increased by 5% for increases of 1 cm diameter breast height (DBH) in a tree's trunk diameter.…”
Section: Ecology and Epidemiologymentioning
confidence: 99%