IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v160y2015icp118-131.html
   My bibliography  Save this article

Satellite and in situ derived corn and soybean biomass and leaf area index: Response to controlled tile drainage under varying weather conditions

Author

Listed:
  • Kross, Angela
  • Lapen, David R.
  • McNairn, Heather
  • Sunohara, Mark
  • Champagne, Catherine
  • Wilkes, Graham

Abstract

Controlled tile drainage (CTD) has environmental and crop production benefits, but the effects of CTD on crop growth under varying weather conditions is not well-documented. This study evaluates the responsiveness of field-scale corn and soybean growth from CTD and uncontrolled tile drainage (UCTD) under varying seasonal temperature and rainfall in eastern Ontario, Canada. Leaf area index (LAI) and total above-ground dry biomass were used as crop growth indicators and were estimated from in situ data and satellite imagery between 2005 to 2013. Corn LAI from CTD fields was maintained or significantly higher relative to the LAI from UCTD fields, in 92% of all site-years; corn biomass from CTD fields was also maintained or significantly higher in all site-years of the study in which it was determined. For soybean, LAI from CTD fields was maintained or significantly higher in 67% of the site-years; biomass from CTD fields was maintained in all site years in which it was determined. Higher water tables and soil water contents, and slightly higher groundwater nitrogen concentrations in CTD fields, may explain these responses. Cohen’s d effect size of satellite derived LAI ([Mean CTD LAI−mean UCTD LAI]/pooled standard deviation) for corn was negatively related to total May–August precipitation indicating a stronger CTD effect with a decrease in precipitation. In contrast to the corn results, Cohen’s d of satellite-derived LAI for soybeans was positively related to total May–August (and especially May–July) precipitation, indicating a stronger CTD effect with an increase in precipitation. Results herein could be used to help inform how to optimize the use of growing season CTD for different crops in order to enhance crop growth properties.

Suggested Citation

  • Kross, Angela & Lapen, David R. & McNairn, Heather & Sunohara, Mark & Champagne, Catherine & Wilkes, Graham, 2015. "Satellite and in situ derived corn and soybean biomass and leaf area index: Response to controlled tile drainage under varying weather conditions," Agricultural Water Management, Elsevier, vol. 160(C), pages 118-131.
  • Handle: RePEc:eee:agiwat:v:160:y:2015:i:c:p:118-131
    DOI: 10.1016/j.agwat.2015.06.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837741530024X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2015.06.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cicek, H. & Sunohara, M. & Wilkes, G. & McNairn, H. & Pick, F. & Topp, E. & Lapen, D.R., 2010. "Using vegetation indices from satellite remote sensing to assess corn and soybean response to controlled tile drainage," Agricultural Water Management, Elsevier, vol. 98(2), pages 261-270, December.
    2. Cabelguenne, M. & Debaeke, P. & Bouniols, A., 1999. "EPICphase, a version of the EPIC model simulating the effects of water and nitrogen stress on biomass and yield, taking account of developmental stages: validation on maize, sunflower, sorghum, soybea," Agricultural Systems, Elsevier, vol. 60(3), pages 175-196, June.
    3. Wesstrom, Ingrid & Messing, Ingmar, 2007. "Effects of controlled drainage on N and P losses and N dynamics in a loamy sand with spring crops," Agricultural Water Management, Elsevier, vol. 87(3), pages 229-240, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tolomio, Massimo & Borin, Maurizio, 2018. "Water table management to save water and reduce nutrient losses from agricultural fields: 6 years of experience in North-Eastern Italy," Agricultural Water Management, Elsevier, vol. 201(C), pages 1-10.
    2. Van Zandvoort, Alisha & Clark, Ian D. & Flemming, Corey & Craiovan, Emilia & Sunohara, Mark D. & Gottschall, Natalie & Boutz, Ronda & Lapen, David R., 2017. "Using 13C isotopic analysis to assess soil carbon pools associated with tile drainage management during drier and wetter growing seasons," Agricultural Water Management, Elsevier, vol. 192(C), pages 232-243.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Van Zandvoort, Alisha & Clark, Ian D. & Flemming, Corey & Craiovan, Emilia & Sunohara, Mark D. & Gottschall, Natalie & Boutz, Ronda & Lapen, David R., 2017. "Using 13C isotopic analysis to assess soil carbon pools associated with tile drainage management during drier and wetter growing seasons," Agricultural Water Management, Elsevier, vol. 192(C), pages 232-243.
    2. Sezen, S.M. & Yazar, A. & Kapur, B. & Tekin, S., 2011. "Comparison of drip and sprinkler irrigation strategies on sunflower seed and oil yield and quality under Mediterranean climatic conditions," Agricultural Water Management, Elsevier, vol. 98(7), pages 1153-1161, May.
    3. Salazar, Osvaldo & Wesström, Ingrid & Youssef, Mohamed A. & Skaggs, R. Wayne & Joel, Abraham, 2009. "Evaluation of the DRAINMOD-N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden," Agricultural Water Management, Elsevier, vol. 96(2), pages 267-281, February.
    4. Yunfeng Li & Quanqing Feng & Dongwei Li & Mingfa Li & Huifeng Ning & Qisheng Han & Abdoul Kader Mounkaila Hamani & Yang Gao & Jingsheng Sun, 2022. "Water-Salt Thresholds of Cotton ( Gossypium hirsutum L.) under Film Drip Irrigation in Arid Saline-Alkali Area," Agriculture, MDPI, vol. 12(11), pages 1-21, October.
    5. Yuki Hamada & Colleen R. Zumpf & Jules F. Cacho & DoKyoung Lee & Cheng-Hsien Lin & Arvid Boe & Emily Heaton & Robert Mitchell & Maria Cristina Negri, 2021. "Remote Sensing-Based Estimation of Advanced Perennial Grass Biomass Yields for Bioenergy," Land, MDPI, vol. 10(11), pages 1-22, November.
    6. Wei, Zheng & Paredes, Paula & Liu, Yu & Chi, Wei Wei & Pereira, Luis S., 2015. "Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain," Agricultural Water Management, Elsevier, vol. 147(C), pages 43-53.
    7. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    8. Shao, Guangcheng & Cui, Jintao & Yu, Shuang’en & Lu, Bin & Brian, Boman J. & Ding, Jihui & She, Dongli, 2015. "Impacts of controlled irrigation and drainage on the yield and physiological attributes of rice," Agricultural Water Management, Elsevier, vol. 149(C), pages 156-165.
    9. Marijn Velde & Francesco Tubiello & Anton Vrieling & Fayçal Bouraoui, 2012. "Impacts of extreme weather on wheat and maize in France: evaluating regional crop simulations against observed data," Climatic Change, Springer, vol. 113(3), pages 751-765, August.
    10. Ascough II, J.C. & Andales, A.A. & Sherrod, L.A. & McMaster, G.S. & Hansen, N.C. & DeJonge, K.C. & Fathelrahman, E.M. & Ahuja, L.R. & Peterson, G.A. & Hoag, D.L., 2010. "Simulating landscape catena effects in no-till dryland agroecosystems using GPFARM," Agricultural Systems, Elsevier, vol. 103(8), pages 569-584, October.
    11. King, K.W. & Hanrahan, B.R. & Stinner, J. & Shedekar, V.S., 2022. "Field scale discharge and water quality response, to drainage water management," Agricultural Water Management, Elsevier, vol. 264(C).
    12. Bohne, B. & Storchenegger, I.J. & Widmoser, P., 2012. "An easy to use calculation method for weir operations in controlled drainage systems," Agricultural Water Management, Elsevier, vol. 109(C), pages 46-53.
    13. Shokrana, Md Sami Bin & Ghane, Ehsan & Abdalaal, Yousef & Nejadhashemi, A. Pouyan, 2023. "Predicting the effect of weir management on the discharge of a controlled drainage system in a changing climate," Agricultural Water Management, Elsevier, vol. 289(C).
    14. Rodrigues, Gonçalo C. & Paredes, Paula & Gonçalves, José M. & Alves, Isabel & Pereira, Luis S., 2013. "Comparing sprinkler and drip irrigation systems for full and deficit irrigated maize using multicriteria analysis and simulation modelling: Ranking for water saving vs. farm economic returns," Agricultural Water Management, Elsevier, vol. 126(C), pages 85-96.
    15. Liang, Hao & Qi, Zhiming & Hu, Kelin & Li, Baoguo & Prasher, Shiv O., 2018. "Modelling subsurface drainage and nitrogen losses from artificially drained cropland using coupled DRAINMOD and WHCNS models," Agricultural Water Management, Elsevier, vol. 195(C), pages 201-210.
    16. Dou, Xu & Shi, Haibin & Li, Ruiping & Miao, Qingfeng & Yan, Jianwen & Tian, Feng & Wang, Bo, 2022. "Simulation and evaluation of soil water and salt transport under controlled subsurface drainage using HYDRUS-2D model," Agricultural Water Management, Elsevier, vol. 273(C).
    17. Balkovič, Juraj & van der Velde, Marijn & Schmid, Erwin & Skalský, Rastislav & Khabarov, Nikolay & Obersteiner, Michael & Stürmer, Bernhard & Xiong, Wei, 2013. "Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation," Agricultural Systems, Elsevier, vol. 120(C), pages 61-75.
    18. Gunn, Kpoti M. & Fausey, Norman R. & Shang, Yuhui & Shedekar, Vinayak S. & Ghane, Ehsan & Wahl, Mark D. & Brown, Larry C., 2015. "Subsurface drainage volume reduction with drainage water management: Case studies in Ohio, USA," Agricultural Water Management, Elsevier, vol. 149(C), pages 131-142.
    19. Tolomio, Massimo & Borin, Maurizio, 2019. "Controlled drainage and crop production in a long-term experiment in North-Eastern Italy," Agricultural Water Management, Elsevier, vol. 222(C), pages 21-29.
    20. Xu Dou & Haibin Shi & Ruiping Li & Qingfeng Miao & Feng Tian & Dandan Yu & Liying Zhou & Bo Wang, 2021. "Effects of Controlled Drainage on the Content Change and Migration of Moisture, Nutrients, and Salts in Soil and the Yield of Oilseed Sunflower in the Hetao Irrigation District," Sustainability, MDPI, vol. 13(17), pages 1-19, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:160:y:2015:i:c:p:118-131. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.