| Literature DB >> 31861592 |
Koffi Djaman1, Charles Higgins2, Shantel Begay3, Komlan Koudahe4, Samuel Allen1, Kevin Lombard1, Michael O'Neill1.
Abstract
Potato psyllid (Bactericera cockerelli) is one of the most important pests in potatoes (Solanum tuberosum L.) due to its feeding behavior and the transmission of a bacterium (Candidatus Liberibacter solanacearum) that causes zebra chip disease, altering the quality of the potato tuber and the fried potato chip or french fry. This pest is thus a threat to the chip potato industry and often requires preventive measures including the use of costly insecticides. The objectives of this research were to monitor the variation in B. cockerelli adult abundance and to evaluate the risk of zebra chip disease in northwestern New Mexico, USA. Yellow sticky traps were used to collect the pest at the Agricultural Experiment Station at Farmington, NM and in nearby commercial fields at the Navajo Agricultural Products Industry (NAPI) and Navajo Mesa Farms during the 2017-2019 period. The collected adult pests were analyzed at Texas A & M University for the presence of Candidatus L. solanacearum (Lso). The results showed field infestation by B. cockerelli in early June and that the population peaked during the second half of July and decreased as the potato growing season progressed. However, a second less important peak of the pest was revealed around mid- to late-August, depending on the growing season and field. While the B. cockerelli population increased linearly with average air temperature, it showed strong third order polynomial relationships with the accumulated thermal units and the Julian days. The test of B. cockerelli for the Lso infection revealed a low incidence of the pathogen varying from 0.22% to 6.25% and the infected adult B. cockerelli were collected during the population peak period. The results of this study may be helpful to potato growers in pest management decision-making and control. However, more study is needed to evaluate zebra chip disease in terms of its prevention and economic impact, and to develop economic thresholds and pest management programs for northwestern New Mexico and neighboring regions.Entities:
Keywords: population dynamics; potato psyllid; zebra chip pathogen
Year: 2019 PMID: 31861592 PMCID: PMC7022697 DOI: 10.3390/insects11010003
Source DB: PubMed Journal: Insects ISSN: 2075-4450 Impact factor: 2.769
Figure 1(a) Field locations of psyllid trapping at Farmington in Northwest New Mexico (white circle) in which (b) green circles represent the Navajo Agricultural Products Industry farms (Center pivot irrigated fields) where NAPI grows table potatoes and other different crops and Navajo Mesa grows chip potatoes; the yellow circle represents location of NMSU experiment station; (c,d) show sticky trap during the early season and the late season, respectively, with difference in vine development.
Weather conditions during the 2017–2019 period at NMSU Experiment Station at Farmington.
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| January | 5.6 | −4.8 | 0.3 | 0.5 | 0.2 | 0.3 | 2.0 | 8.1 | 10.4 |
| February | 12.3 | −0.7 | 4.6 | 0.5 | 0.2 | 0.3 | 1.7 | 11.1 | 6.1 |
| March | 16.8 | 1.5 | 9.0 | 80.1 | 21.4 | 50.8 | 3.6 | 16.2 | 8.9 |
| April | 18.4 | 1.1 | 10.1 | 72.8 | 15.8 | 41.0 | 2.6 | 22.3 | 37.1 |
| May | 23.1 | 5.8 | 14.5 | 71.5 | 15.5 | 40.4 | 2.6 | 25.4 | 22.6 |
| June | 32.5 | 12.4 | 23.2 | 56.6 | 6.8 | 24.0 | 2.2 | 30.2 | 0.0 |
| July | 32.9 | 16.5 | 24.3 | 75.8 | 18.4 | 44.8 | 2.0 | 26.7 | 47.5 |
| August | 30.6 | 14.5 | 22.5 | 73.4 | 17.5 | 41.8 | 1.8 | 23.3 | 1.8 |
| September | 27.2 | 10.6 | 18.5 | 72.0 | 19.7 | 43.0 | 2.0 | 20.1 | 46.0 |
| October | 21.1 | 2.2 | 11.2 | 63.5 | 13.6 | 34.6 | 2.0 | 16.4 | 0.0 |
| November | 17.1 | 0.1 | 8.0 | 68.0 | 19.8 | 41.6 | 1.8 | 11.4 | 2.8 |
| December | 10.4 | −6.9 | 0.9 | 61.2 | 17.3 | 38.0 | 1.8 | 10.6 | 0.0 |
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| January | 9.7 | −6.1 | 0.9 | 76.5 | 24.6 | 50.2 | 2.0 | 11.6 | 5.6 |
| February | 11.5 | −4.3 | 3.2 | 74.9 | 19.4 | 44.8 | 2.6 | 13.5 | 1.3 |
| March | 15.3 | −2.5 | 6.6 | 62.4 | 14.0 | 34.9 | 2.8 | 18.3 | 3.6 |
| April | 21.3 | 2.7 | 12.9 | 50.5 | 8.2 | 23.0 | 3.4 | 23.3 | 5.9 |
| May | 26.9 | 8.0 | 17.9 | 51.8 | 8.4 | 24.4 | 2.6 | 27.2 | 6.4 |
| June | 32.0 | 12.9 | 23.1 | 52.8 | 7.4 | 23.1 | 2.2 | 29.2 | 17.8 |
| July | 33.5 | 16.9 | 25.0 | 71.5 | 15.3 | 39.3 | 2.2 | 26.9 | 11.7 |
| August | 31.7 | 15.6 | 23.6 | 66.1 | 13.5 | 35.5 | 1.9 | 23.4 | 3.6 |
| September | 28.5 | 11.6 | 19.8 | 65.8 | 15.2 | 35.4 | 1.6 | 21.1 | 3.0 |
| October | 17.1 | 3.2 | 9.8 | 89.3 | 32.7 | 60.7 | 2.1 | 13.3 | 10.7 |
| November | 10.8 | −5.6 | 2.2 | 70.5 | 21.6 | 43.6 | 1.8 | 12.6 | 1.3 |
| December | 5.5 | −6.1 | −0.7 | 87.3 | 42.6 | 67.6 | 1.9 | 8.8 | 9.1 |
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| January | 5.0 | −7.0 | −1.5 | 94.3 | 45.3 | 72.9 | 2.0 | 10.2 | 12.7 |
| February | 7.2 | −5.6 | 0.4 | 87.3 | 33.5 | 62.5 | 2.4 | 12.3 | 21.6 |
| March | 14.2 | 0.1 | 7.0 | 83.5 | 26.2 | 53.9 | 2.7 | 17.2 | 34.5 |
| April | 19.5 | 3.0 | 11.7 | 71.8 | 17.1 | 39.9 | 2.8 | 21.6 | 6.6 |
| May | 19.8 | 4.3 | 12.3 | 82.5 | 23.2 | 50.3 | 2.3 | 23.1 | 43.4 |
| June | 28.9 | 11.1 | 20.4 | 70.6 | 12.9 | 35.4 | 2.3 | 27.2 | 5.8 |
| July | 32.3 | 15.2 | 24.0 | 70.3 | 14.5 | 37.0 | 1.9 | 26.8 | 7.1 |
| August | 32.0 | 14.6 | 23.2 | 68.2 | 15.3 | 36.9 | 1.6 | 24.3 | 1.5 |
| September | 27.6 | 11.3 | 19.3 | 73.8 | 18.6 | 43.3 | 2.2 | 20.3 | 9.9 |
| October | 15.7 | −2.8 | 6.5 | 52.7 | 14.3 | 30.9 | 2.1 | 16.9 | 2.3 |
| November | 15.5 | −3.6 | 5.5 | 66.5 | 14.5 | 35.7 | 1.5 | 14.3 | 0.0 |
U2 is wind speed measured at 2 m; Rs is solar radiation.
Figure 2Population dynamics of Bactericera cockerelli in the study area during the (a) 2017, (b) 2018, and (c) 2019 potato growing seasons.
Figure 3Biweekly abundance of the total adults of B. cockerelli collected across all experimental fields during the 2017, 2018, and 2019 potato growing seasons.
Figure 4Evolution of air temperature (a) and the cumulated heat units (b) from January 1st to November 15th during 2018 and 2019.
Figure 5Correlation between the abundance of Bactericera cockerelli and (a) average air temperature; (b) accumulated thermal unit; and (c) Julian day during 2018 and 2019.
Figure 6Percentage of infected adult psyllids collected in sticky traps during the 2017−2019 period.