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Causality between climatic and soil factors on Italian ryegrass yield in paddy field via climate and soil big data

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초록

This study aimed to identify the causality between climatic and soil variables affecting the yield of Italian ryegrass (Lolium multiflorum Lam., IRG) in the paddy field by constructing the pathways via structure equation model. The IRG data (n = 133) was collected from the National Agricultural Cooperative Federation (1992–2013). The climatic variables were accumulated temperature, growing days and precipitation amount from the weather information system of Korea Meteorological Administration, and soil variables were effective soil depth, slope, gravel content and drainage class as soil physical properties from the soil information system of Rural Development Administration. In general, IRG cultivation by the rice-rotation system in paddy field is important and unique in East Asia because it contributes to the increase of income by cultivating IRG during agricultural off-season. As a result, the seasonal effects of accumulated temperature and growing days of autumn and next spring were evident, furthermore, autumnal temperature and spring precipitation indirectly influenced yield through spring temperature. The effect of autumnal temperature, spring temperature, spring precipitation and soil physics factors were 0.62, 0.36, 0.23, and 0.16 in order (p < 0.05). Even though the relationship between soil physical and precipitation was not significant, it does not mean there was no association. Because the soil physical variables were categorical, their effects were weakly reflected even with scale adjustment by jitter transformation. We expected that this study could contribute to increasing IRG yield by presenting the causality of climatic and soil factors and could be extended to various factors.

Abstract

This study aimed to identify the causality between climatic and soil variables affecting the yield of Italian ryegrass (Lolium multiflorum Lam., IRG) in the paddy field by constructing the pathways via structure equation model. The IRG data (n = 133) was collected from the National Agricultural Cooperative Federation (1992–2013). The climatic variables were accumulated temperature, growing days and precipitation amount from the weather information system of Korea Meteorological Administration, and soil variables were effective soil depth, slope, gravel content and drainage class as soil physical properties from the soil information system of Rural Development Administration. In general, IRG cultivation by the rice-rotation system in paddy field is important and unique in East Asia because it contributes to the increase of income by cultivating IRG during agricultural off-season. As a result, the seasonal effects of accumulated temperature and growing days of autumn and next spring were evident, furthermore, autumnal temperature and spring precipitation indirectly influenced yield through spring temperature. The effect of autumnal temperature, spring temperature, spring precipitation and soil physics factors were 0.62, 0.36, 0.23, and 0.16 in order (p < 0.05). Even though the relationship between soil physical and precipitation was not significant, it does not mean there was no association. Because the soil physical variables were categorical, their effects were weakly reflected even with scale adjustment by jitter transformation. We expected that this study could contribute to increasing IRG yield by presenting the causality of climatic and soil factors and could be extended to various factors.

참고문헌 (33)

  1. Choi KJ, "Manual of cultivation technique and management of new varieties for Italian ryegrass", Rural Development Administration, 6~16 (2017)
  2. Ye S, "Studies of the Italian ryegrass–rice rotation system in southern China: Arbuscular mycorrhizal symbiosis affects soil microorganisms and enzyme activities in the Lolium mutiflorum L. rhizosphere", Appl Soil Ecol, 90, pp.26~34 (2015)
  3. Kim KG, "The core statistics of Korean agriculture", Rural Development Administration, 22~26 (2019)
  4. AFL News, "Annual manual of livestock. Seoul: The Agriculture", Livestock News, 1~4 (2015)
  5. 김맹중, "논에서 이탈리안 라이그라스 품종별 파종시기가 월동 및 건물수량에 미치는 영향", 한국초지조사료학회지, 29(4), pp.321~328 (2009), 한국초지조사료학회
  6. Pawluk RR, "The role of indigenous soil knowledge in agricultural development", J Soil Water Conserv, 47, pp.298~302 (1992)
  7. Ye XX, "Variation of as concentration between soil types and rice genotypes and the selection of cultivars for reducing as in the diet", Chemosphere, 87, pp.384~389 (2012)
  8. WMO, "Guidelines on best practices for climate data rescue", World Meteorological Organization, 1~2 (2016)
  9. Peng J, "Constructing Italian ryegrass yield prediction model based on climatic data by locations in South Korea", Grassl Sci, 63, pp.184~195 (2017)
  10. PENG JINGLUN, "Accuracy Evaluation of the Crop-Weather Yield Predictive Models of Italian Ryegrass and Forage Rye Using Cross-Validation", Journal of Crop Science and Biotechnology, 20(4), pp.327~334 (2017), 한국작물학회[DOI]
  11. 김문주, "기상 빅 데이터와 지리정보시스템을 이용한 이탈리안 라이그라스의 수량예측", 한국초지조사료학회지, 37(2), pp.145~153 (2017), 한국초지조사료학회
  12. Van Montfort K, "Recent developments on structural equation models: theory and applications", pp.263~294 (2004), Springer Science & Business Media
  13. Arbuckle JL, "Amos 18 user’s guide", Armonk, SPSS Incorp, 107~150 (2009)
  14. Johnson RA, "Applied multivariate statistical analysis", pp.481~538 (2002), Pearson
  15. Joreskog KG, "Structural equation modeling with ordinal variables using LISREL", Scientific Software International, 44~50 (2005)
  16. Grace JB, "Real world ecology", pp.293~302 (2009), Springer
  17. Lam TY, "Structural equation modeling : theory and applications in forest management", Int J Forest Res, 2012, pp.1~16 (2012)
  18. Kim MJ, "Research on causal relationship between forage yield and various factors (climate and soil) as a way of forage yield prediction", Proceedings of the 6th Korea-Japan-China Grassland Conference, pp.34~40 (2016)
  19. Zhang T, "Structural equation modeling of the Canadian flax (Linum usitatissimum L.) core collection for multiple phenotypic traits", Can J Plant Sci, 94, pp.1325~1332 (2014)
  20. Li XY, "Planting density and irrigation timing affects Cleistogenes songorica seed yield sustainability", Agron J, 106, pp.1690~1696 (2014)
  21. 김문주, "구조방정식 모형을 이용한 이탈리안 라이그라스 생산량에 대한 기후요인의 연구", 응용통계연구, 27(7), pp.1187~1196 (2014), 한국통계학회
  22. 김문주, "청보리 생산량의 기후요인 분석을 위한 베이지안 구조방정식 모형", 응용통계연구, 29(2), pp.331~344 (2016), 한국통계학회
  23. Kim M, "Causality of climate and soil factors affecting whole crop rye (Secale cereale L.) yield as part of natural ecosystem structure via longitudinal structural equation model in the Republic of Korea", Grassl Sci (2019)
  24. Chambers JM, "Statistical models in S. Pacific Grove", pp.1983, Wadsworth and Brooks
  25. Hong SH, "The criteria for selecting appropriate fit indices in structural equation modeling and their rationales", Korean J Clin Psychol, 19, pp.161~177 (2000)
  26. Gao S, "Nonnormality of data in structural equation models", Transp Res Rec, 2082, pp.116~124 (2008)
  27. 이주헌, "가뭄지수를 활용한 한반도 가뭄의 경향성, 주기성 및 발생빈도 분석", 한국수자원학회 논문집, 45(1), pp.75~89 (2012), 한국수자원학회
  28. Chae JC, "Principal of crop production", pp.218~224 (2006), Hyangmunsa
  29. "The biology of Lolium multiflorum Lam. (Itatlian ryegrass), Lolium perenne L. (Perennial ryegrass) and Lolium arundinaceum(Schreb.) Darbysh (Tall fescue)", Office of the Gene Technology Regulator, 32~33 (2008)
  30. Kristensen HL, "Root growth and nitrate uptake of three different catch crops in deep soil layers", Soil Sci Soc Am J, 68, pp.529~537 (2004)
  31. Jang WK, "Manual of cultivation technique and management of new varieties for Italian ryegrass", Rural Development Administration, 4~6 (2011)
  32. Jeong YS, "Fundamental and application of soil science for agriculture and environment", Kangwon university, 103~105 (2005)
  33. Schumacker RE, "Goodness of fit criteria in structural equation models", pp.8~12 (1992), The Educational Resources Information Center

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