한국약용작물학회지 (Korean Journal of Medicinal Crop Science)
- 제2권1호
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- Pages.7-13
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- 1994
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- 1225-9306(pISSN)
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- 2288-0186(eISSN)
승주지방(昇州地方)에서 기상요인(氣象要因)과 택사(澤瀉) 생육(生育) 및 수량(收量)과의 관계(關係)
Relationships between Meteorological Factors and Growth and Yield of Alisma plantago L. in Seungju Area
- Kwon, Byung-Sun (College of Agriculture, Sunchon National University) ;
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Lim, June-Taeg
(College of Agriculture, Sunchon National University) ;
- Chung, Dong-Hee (Crop Experiment Station, Mokpo Branch Station, RDA) ;
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Hwang, Jong-Jin
(Crop Experiment Station, Mokpo Branch Station, RDA)
- 발행 : 1994.03.31
초록
1983년(年) 부터 1992년(年) 까지 계속하여 재배(栽培)하여온 전남(全南) 승주군(昇州郡) 해룡면(海龍面) 농가(農家) 도장(圖場)에서 조사(調査)한 택사(澤瀉)의 주요특성(主要特性)과 재배기간중(栽培期間中) 관측(觀測)된 기상자료(氣象資料)를 이용(利用)하여 생육(生育) 및 수양(收量)과 기상요인(氣象要因)과의 상관관계(相關關係), 분산(分散) 및 수양(收量) 추정식(推定式)을 유도(誘導)한 결과(結果)는 다음과 같다. 1. 기상요인중(氣象要因中) 변리(變異)가 큰 것은 10월(月) 의 강수량(降水量)과 11월(月)의 최저기온(最低氣溫)으로서 변리계수(變異係數) (C.V)는 각각 106.44%와 144.08%였으며, 7월(月), 8월(月), 9월(月)의 평균기온(平均氣溫)과 최고기온(最高氣溫) 및 최저기온(最低氣溫)은 비교적 변리(變異)가 적었다. 2. 생육(生育) 및 수양형질(收量形質)의 변리계수(變異係數)는 수양형질중(收量形質中) 생근중(生根重)은 30.62% 건근중(乾根重)은 31.8%서 년차간(年次間) 변리(變異)가 아주 켰고 묘장(苗長)과 경장(莖長)은
This study was conducted to investigate the relationships between yearly variations of climatic factors and yearly variations of productivity in Alisma plantago L. In addition, correlation coefficients among yield and yield components were estimated. The data of yield and yield components were collected from the Statistical Year Book of Seungju province, Reserach Report of Seungju Extension Station of Rural Development Administration, and farmers for 10 years from 1983 to 1992. The meteorological data gathered at the Seungju Weather Station for the same period were used to find out the relationships between climatic factors and productivity. Yearly variation of the amount of precipitation in October and the minimum temperature in November were large with coefficients of variation(C.V.) of 106.44, 144.08%, respectively, but the variation of the average temperature, maximum temperature, minimum temperature from July to September were relatively small. Fresh weight and dry weight of roots vary greatly with C. V. of 30.62, 31.85%, respectivly. Plant height and stem length show more or less small C. V. of 5.51, 6. 26%, respectively and leaf width, leaf length, number of stems and root diameter show still less variation. Correlation coefficients between maximum temperature in November and plant height, stem diamter, number of stems, root diamter and dry weight of roots are positively significant at the 5% level. There are high signficant positive correlations observed, between yield and yield components. The maximum temperature would be used as a predictive variable for the estimation of dry weight of roots and number of stems. Simple linear regression equations by the least square method are estimated for number of stems
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