Growth and Fresh Bulb Weight Model in Harvest Time of Southern Type Garlic Var. ‘Namdo’ based on Temperature

Seung Hwan Wi; Kyung Hwan Moon; Eun Young Song; In Chang Son; Soon Ja Oh; Young Yeol Cho

doi:10.12791/KSBEC.2017.26.1.13

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Growth and Fresh Bulb Weight Model in Harvest Time of Southern Type Garlic Var. ‘Namdo’ based on Temperature 온도에 따른 난지형 마늘 ‘남도’의 생육과 수확기 구생체중 모델 개발

31 January 2017. pp. 13-18

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Abstract

This study was conducted to investigate optimal temperature of garlic and develop bulb weight model in harvest time. Day and night temperature in chambers was set to 11/7°C, 14/10°C, 17/12°C, 20/15°C, 23/18°C, 28/23°C(16/8h). Bulb fresh and dry weight was heaviest on 20/15°C. In 11/7°C and 14/10°C, leaf number and total leaf area increased slowly. But in the harvest, leaf number and total leaf area were not significant, except 28/23°C. Models were developed with fresh bulb weight. As a result of analyzing the model, 18~20°C certified optimal mean temperature. And the growing degree day base temperature estimated 7.1°C, upper temperature threshold estimated 31.7°C. To verify the model, mean temperature on temperature gradient tunnel applied to the growth rate model. Lineal function model, quadric model, and logistic distribution model showed 79.0~95.0%, 77.2~92.3% and 85.0~95.8% accuracy, respectively. Logistic distribution model has the highest accuracy and good for explaining moderate temperature, growing degree day base temperature and upper temperature threshold.

Keywords

bulb weight

garlic

model

temperature

본 연구는 난지형 마늘 ‘남도’의 적정 생육 온도 구명 과 일 평균온도를 이용한 구중 예측을 위하여 수행되었 다. 온도처리는 주간 16시간 야간 8시간 처리로 11/7°C, 14/10°C, 17/12°C, 20/15°C, 23/18°C, 28/23°C 로 설정하 였다. 구의 생체중과 건물중은 20°C/15°C 처리구에서 가 장 높았으며 고온이나 저온으로 갈수록 감소하였다. 엽 수와 총엽면적은 저온인 처리구가 고온처리구보다 생장 이 느렸으나, 최종적으로는 최고온도인28/23°C을 제외하 고 유사한 경향을 보였다. 구의 생체중으로 6종의 함수 를 개발하였으며 이를 통해 ‘남도’ 마늘의 적정 생육온 도와 한계온도, 온도에 따른 구생장량을 확인할 수 있었 다. 분석 결과 ‘남도’ 마늘의 적정 생육온도는 18~20°C 이며 GDD 기본온도와 한계온도는 7.1°C와 31.7°C로 추 정할 수 있었다. 일 평균온도를 이용한 수확기 기준 구 생체중 모델을 검증하기 위하여 온도구배터널의 기상자 료를 이용하여 예측하였다. 선형함수를 이용한 예측은 79.0~95.0%, 2차 함수를 이용한 예측은 77.2~92.3%, 로 지스틱분포 함수를 이용한 예측은 80.0~95.8% 예측도를 보였다. 이중 가장 예측력이 좋은 함수는 로지스틱분포 함수이며 생육적정온도와 한계온도도 잘 표현하였다.

키워드

마늘

모델

온도

구중

References

Cutforth, H.W. and C.F. Shaykewich. 1990. A temperature response function for corn development. Agricultural and Forest Meteorology 50(3): 159-171.

10.1016/0168-1923(90)90051-7

El-Zohiri, S.S.M. and A.A. Farag. 2014. Relation planting date, cultivars and growing degree-days on growth, yield and quality of garlic. Middle East Journal of Agriculture Research 3(4): 1169-1183.

Hardegree, S.P. 2006. Predicting germination response to temperature.I. Cardinal-temperature models and subpopulationspecific regression. Annals of Botany 97:1115-1125.

10.1093/aob/mcl07116624846PMC2803400

Hwang, J.M. and G.S. Tae. 2000. Changes of microclimates and garlic growth in oudoor by mulching and tunnel treatments. Journal of the Korean society for Horticultural Science Horticulture, Environment and Biotechnology 41(1):27-30. (In Korea)

Lee, C.K., B.W. Lee, Y.H. Yoon, and J.C. Shin. 2001. Temperature response and prediction model of leaf appearance rate in rice. Korean Journal of Crop Science 46(3): 202-208. (In Korea)

Lee, J.M. 2003. Special vegitable horticulture. 1th ed. Hyang moon sa, Seoul, Korea. p. 421. (In Korea)

Lee, S.G., T.C. Seo, Y.A. Jang, J.G. Lee, C. W. Nam, C. S. Choi, K.H. Yeo, and Y.C. Um. 2012. Prediction of chinese cabbage yield as affected by planting date and nitrogen fertilization for spring production. Journal of Bio-Environment Control 21:271-275. (In Korea)

McMaster, G.S., W.W. Wilhelm. 1997. Growing degree-days: one equation, two interpretations. Agricultural and Forest Meteorology 87: 291-300.

10.1016/S0168-1923(97)00027-0

Miller, P., W. Lanier, and S. Brandt. 2001. Using growing degree days to predict plant stanges. Ag/Extension Communications Coordinator, Communication Services, Montana State University-Bozeman, MO 2001.

Roché, C.T., D.C. Thill, and B. Shafil. 1997. Estimation of base and optimum temperatures for seed germination in common crupina (Crupina vulgaris). Weed Science 45:529-533.

10.1017/S0043174500088767

Swan J. B., E.C. Schneider, J.F. Moncrief, W. H. Paulson, and A. E. Peterson. 1987. Estimating corn growth, yield, and grain moisture from air growing degree days and residue cover. Agronomy J. 79: 53-60.

10.2134/agronj1987.00021962007900010012x

Seefeldt, S.S., K.K. Kidwell, and J.E. Waller. 2002. Base growth temperatures, germination rates and growth response of contemporary spring wheat (Triticum aestivum L.) cultivars from the US Pacific Northwest. Field Crops Research 75:47-52.

10.1016/S0378-4290(02)00007-2

Shaykewich C.F. 1995. An appraisal of cereal crop phenology modelling. Canadian Journal of Plant Science 75(5): 329-341.

10.4141/cjps95-057

Yan, W. and L.A. Hunt. 1999. An equation for modeling the temperature response of plants using only the cardinal temperature. Annals of Botany 84:607-614.

10.1006/anbo.1999.0955

Yim, J.H., S.B. Kim, E.K. Lee, J.H. Jin, K.P. You, and D.G. Choi. 2012. Effect of Artificial Wind Time on Photosynthesis and Leaf Characteristics of Growing Period in Apple and Pear. Journal of the Korean society for Horticultural Science Abstracts 30:128-128

Yin, X., M.J. Kropff, G. McLaren, and R.M. Visperas. 1995. A nonlinear model for crop development as a function of temperature. Agricultural and Forest Meteorology 77:1-16.

10.1016/0168-1923(95)02236-Q

Information

Publisher :The Korean Society for Bio-Environment Control
Publisher(Ko) :(사)한국생물환경조절학회
Journal Title :Protected Horticulture and Plant Factory
Journal Title(Ko) :시설원예ㆍ식물공장
Volume : 26
No :1
Pages :13-18
Received Date : 2016-09-06
Revised Date : 2017-01-17
Accepted Date : 2017-01-18
DOI :https://doi.org/10.12791/KSBEC.2017.26.1.13

Journal of Bio-Environment Control ISSN:1229-4675(Print) 2765-3641(Online) 생물환경조절학회지

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