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|a 10.1094/PDIS-09-21-1888-RE
|2 doi
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|a eng
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|a Saikai, Kanan
|e verfasserin
|4 aut
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|a Impact of Pratylenchus penetrans on Soybean Grown in Wisconsin, U.S.A
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|c 2022
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 08.11.2022
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|a Date Revised 13.12.2023
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Models were developed to quantify the impact of Pratylenchus penetrans to the early season growth and yield of soybean in field and greenhouse environments and to estimate yield loss because of P. penetrans in Wisconsin. There was a negative linear relationship between initial nematode population densities (Pi) and shoot and total plant weight at V2 and yield, pod number, seed number, and seed mass at harvest in the field. Relative yield loss, modeled for the second year of the field experiment, suggested a loss of 4.5% for yield and between 2.4 and 2.8% for yield components at the mean field Pi value. Negative linear relationships were demonstrated for the relative loss in those variables as well as for harvest index and shoot, root, and total plant weight at harvest in the greenhouse. Stress imposed by P. penetrans began within 2 weeks after planting and continued through harvest. Estimates of the percent loss attributed to each nematode Pi value were 0.020% for yield, 0.015% for pod number, and 0.017% for seed number. Pratylenchus spp. was the most widely prevalent pest nematode among samples submitted to a statewide nematode testing program. Molecular identification of a subset of 63 samples suggested 15% were infested with P. penetrans at a mean Pi value of 197 P. penetrans per 100 cm3 soil. Yield loss because of P. penetrans, estimated from prevalence data and our empirical greenhouse model, ranged from 0.23 to 2.76% among Wisconsin's agricultural districts. The cumulative impact for all Pratylenchus spp. is likely much greater, given this loss estimate does not account for the monoecious species present in 79% of the samples
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|a Journal Article
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|a root lesion nematode
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|a soybean
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|a yield loss model
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|a MacGuidwin, Ann E
|e verfasserin
|4 aut
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|i Enthalten in
|t Plant disease
|d 1997
|g 106(2022), 11 vom: 08. Nov., Seite 2904-2910
|w (DE-627)NLM098181742
|x 0191-2917
|7 nnns
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|g volume:106
|g year:2022
|g number:11
|g day:08
|g month:11
|g pages:2904-2910
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|u http://dx.doi.org/10.1094/PDIS-09-21-1888-RE
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