• Korean journal of applied entomology
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• v.37 no.2
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• pp.123-125
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• 1998

In peony fields located in Uisong and Yeongcheon distribution of Meloidogyne hapla was examined. Of 131 fields examined, M. hapla was isolated from 102 fields. In 57.8% of the infested fields, M. hapla density was higher 31 larvae1300 ml soil, the larval density isolated from upland fields were higher than those from paddy fields. Sandy loam soil harbored higher number of larvae than clay soil. Physio-chemical properties of soil might affect nematode population: High larval density was detected from those fields with low contents of OM, K+ and low pH. Fields infested with high larval densities required more lime than those with low or non infested fields.

• Korean Journal of Medicinal Crop Science
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• v.5 no.3
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• pp.237-242
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• 1997

The experiment was conducted to find causes of rooting failure in divided crown of peony cultivation. The results were as follows : In farmer s fields, damage rate of rooting failure in divided crown of peony was 32% as non-sprouting 5.6%, withering after sprouting 20.7%, and wilting after sprouting 5.7%, repectively. Damage degree in farmer s fields was followed, above 70% by 4%, 41 to 70% by 17%, 11 to 40% by 45% per total field area, respectively. It was caused by rooting failure. Damage rate of rooting failure as affected by different planting time was 18.2% for planting in autumn, 42.9% for planting in spring, and damage in divided crown was higher than in seedling. As periods to planting were prolonged, growth and yield were larger poorly, treatment with seminal-root sterilization and soil insecticide showed good growth and rooting but untreated control was very poor. Main cause of rooting failure in divided crown of peony was disease, Cylindrocarpon sp. and low quality of seeds.

• Current Research on Agriculture and Life Sciences
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• v.13
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• pp.65-70
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• 1995

The experiments were conducted to determine the influence of seed size and mucilaginous substance on seed germination of herbaceous peony collected from farmers' fields in Korea. No significant difference was recognized between the size of seed and the rale of germination. The maximum percentage(68%) of seed germination was obtained from the seeds with thin brown colour treated at $20^{\circ}C$. The amount of mucilaginous substances exuded from peony seeds was the highest in the seeds with black brown colour. Germination rate of peony seeds was negatively correlated with the amount of mucilaginous substance exuded from the seeds. High frequency(93%) of seed germination was obtained from the seeds which treated in the mixture(1:1) of sands and activated charcoal.

• Korean Journal of Medicinal Crop Science
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• v.6 no.1
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• pp.44-50
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• 1998

The experiment was carried out to investigate weed occurrence in peony field. The number of weeds was Compositate 9 species, Gramineae 4 species, Craciferae 3 species, Eugarviaceae, Polygonaceae and Scrophularilaceae 2 species, respectively. Weeds classified by life cycle were annual weed 19 species (57.6%), biennial weed 8 species (24.2%), and perennial weed 6 species (18.2%). Weed species and dominance rate by morphological characteristics were grass weed 4 species (12.1%), broad leaf weed 25 species (84.8%), and sedge weed 1 species (3.1 %) . Major dominant weeds were Capsella bursa-pastoris, Chemopodium album var. centrorubrum and Equisetum arvense in late April, and Digitaria sanguinalis, Erigeron canadensis and Echinochlor crus-galli in late June, and Digitaria sanguinalis, Erigeron canadensis and Echinochlor crus-galli in middle August.

• Weed & Turfgrass Science
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• v.6 no.3
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• pp.165-178
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• 2017

This study was carried out to investigate the characteristics of weeds occurring in paeony field in June and July, 2015 in Uiseong, Cheongsong of Kyungbuk province, and Hwasun, Jangheung, Gangjin of Jeonnam province. In total paeony field, there were 35 families and 105 species, including 30 species of Asteraceae, nine species of Poaceae, eight species of Polygonaceae, and each five species of Fabaceae and Convolvulaceae, By life style, there were 49 species of annuals, 27 species of winter annuals and 24 species of perennials. In Kyeongbuk province, 30 families and 75 species were found including 20 species of Asteraceae, seven species of Poaceae, six species of Polygonaceae, each four species of Brassicaceae, Fabaceae and Convolvulaceae, three species of Euphorbiaceae. By life style, there were 35 species of annuals, 21 species of winter annuals and 19 species of perennials. In Jeonnam province, 34 families and 88 species were found including 23 species of Asteraceae, seven species of Poaceae, eight species of Polygonaceae, six species of Fabaceae and four species of Scrophulariaceae. By life style, there were 43 species of annuals, 15 species of winter annuals and 25 species of perennials. Therefore, there are various occurrences of annual, annual, and perennial weeds in peony fields, and weed control system should be set up accordingly.

• Korean Journal of Medicinal Crop Science
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• v.6 no.3
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• pp.232-238
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• 1998

To analyse the management and production of medicinal crops in Uisong region, cultural conditions and standard income of 147 farms were investigated. Location quotient of medicinal crops cultivated was high as following order ; Paeonia lactiflora > Cornus ofidnalis> Bupleurm falcatum > Anemarhena asphodeloides > Rehmannia glutinosa > Eucommia ulmoides > Paeonia suffruticosa > Angelica dahurica. The average cultivated area per farm was 1.92ha : 1.35ha of upland field, 0.56ha of paddy field. Distribution of agricultural land in each farm was average 10.2 fields in 3.1 locations. Ratio of labor input in the medicinal plant sector was 31.1 %. The number of medicinal crops cultivated was 36 species among 147 farms and 2.4 species per farm. Among the cultivated medicinal plant, peony (Paeonia lactiflora) was the most popular medicinal plant, which was cultivated in 30.72ha of 85 farms. Income from medicinal plants was high in order of Carthamus tinctorius, Polygonatum stenophyllum, Angelica genuilexa. Medicinal crops should be selected based on farm condition, risk level and price settlement in order to maximize productivity and income.