IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v170y2016icp158-166.html
   My bibliography  Save this article

No-till and direct seeding agriculture in irrigated bean: Effect of incorporating crop residues on soil water availability and retention, and yield

Author

Listed:
  • Souza, João V.R.S.
  • Saad, João C.C.
  • Sánchez-Román, Rodrigo M.
  • Rodríguez-Sinobas, Leonor

Abstract

Brazil is one of the top world producers of the staple commodity common bean (Phaseolus vulgaris L.). Irregular distribution of rainfall and the lack of rain during the crop reproductive phases affect its yield and increase the demand of water for irrigation. However, in recent years, water resources have decreased and water saving has become an issue. Thus, soil management techniques, which reduce evaporation, and efficient irrigation programming, through the monitoring of soil water content, could be adopted in water scarcity scenarios. This study assesses the effect of crop residues management (incorporated IR or left on soil surface NR) in soil water availability (and its retention in the soil pore space), and yield in common beans cultivated under no-till and directly seeded in an irrigated farm located southwest of São Paulo state. Soil water content was monitored with TDR probes installed within the 0–20cm layer and its retention was assessed through the soil water retention curve. For the same irrigation management, the IR led to soil water content was lower than NR but both soil managements had similar available water and their demand of water for irrigation was similar. For the same soil water content, NR soils could hold it tightly in the pore space and the root plant system would require higher energy to absorb it. Then, it is foreseen that the root system in IR soils will be shallower than in NR soils, since it will withdraw water easily within the first 20cm, however, in NR, the roots will extend deeper searching for available water. Considering 40kPa as a threshold value, the plants suffered water stress during all crop cycle at the same physiologic stages in both soils. The variables studied to assess yield presented no-statistical significance in the T test at significance level of 0.05.

Suggested Citation

  • Souza, João V.R.S. & Saad, João C.C. & Sánchez-Román, Rodrigo M. & Rodríguez-Sinobas, Leonor, 2016. "No-till and direct seeding agriculture in irrigated bean: Effect of incorporating crop residues on soil water availability and retention, and yield," Agricultural Water Management, Elsevier, vol. 170(C), pages 158-166.
    • Handle: RePEc:eee:agiwat:v:170:y:2016:i:c:p:158-166
    DOI: 10.1016/j.agwat.2016.01.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377416300105
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2016.01.002?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. Nielsen, David C. & Vigil, Merle F. & Benjamin, Joseph G., 2009. "The variable response of dryland corn yield to soil water content at planting," Agricultural Water Management, Elsevier, vol. 96(2), pages 330-336, February.
    2. Raziei, Tayeb & Pereira, Luis S., 2013. "Estimation of ETo with Hargreaves–Samani and FAO-PM temperature methods for a wide range of climates in Iran," Agricultural Water Management, Elsevier, vol. 121(C), pages 1-18.
    Full references (including those not matched with items on IDEAS)

    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. Santos, Reginaldo Ferreira & Bassegio, Doglas & de Almeida Silva, Marcelo, 2017. "Productivity and production components of safflower genotypes affected by irrigation at phenological stages," Agricultural Water Management, Elsevier, vol. 186(C), pages 66-74.
    2. Gonçalo C. Rodrigues & Ricardo P. Braga, 2021. "Estimation of Reference Evapotranspiration during the Irrigation Season Using Nine Temperature-Based Methods in a Hot-Summer Mediterranean Climate," Agriculture, MDPI, vol. 11(2), pages 1-13, February.
    3. Luis Santos Pereira, 2017. "Water, Agriculture and Food: Challenges and Issues," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2985-2999, August.
    4. Xiao, Chunan & Cai, Jiabing & Zhang, Baozhong & Chang, Hongfang & Wei, Zheng, 2023. "Evaluation and verification of two evapotranspiration models based on precision screening and partitioning of field temperature data," Agricultural Water Management, Elsevier, vol. 278(C).
    5. Xue, Jingyuan & Fulton, Allan & Kisekka, Isaya, 2021. "Evaluating the role of remote sensing-based energy balance models in improving site-specific irrigation management for young walnut orchards," Agricultural Water Management, Elsevier, vol. 256(C).
    6. Benjamin, J.G. & Nielsen, D.C. & Vigil, M.F. & Mikha, M.M. & Calderon, F., 2015. "Cumulative deficit irrigation effects on corn biomass and grain yield under two tillage systems," Agricultural Water Management, Elsevier, vol. 159(C), pages 107-114.
    7. Paredes, Paula & Trigo, Isabel & de Bruin, Henk & Simões, Nuno & Pereira, Luis S., 2021. "Daily grass reference evapotranspiration with Meteosat Second Generation shortwave radiation and reference ET products," Agricultural Water Management, Elsevier, vol. 248(C).
    8. Cai, Fu & Zhang, Yushu & Mi, Na & Ming, Huiqing & Zhang, Shujie & Zhang, Hui & Zhao, Xianli, 2020. "Maize (Zea mays L.) physiological responses to drought and rewatering, and the associations with water stress degree," Agricultural Water Management, Elsevier, vol. 241(C).
    9. Rafiei-Sardooi, Elham & Azareh, Ali & Joorabian Shooshtari, Sharif & Parteli, Eric J.R., 2022. "Long-term assessment of land-use and climate change on water scarcity in an arid basin in Iran," Ecological Modelling, Elsevier, vol. 467(C).
    10. Saseendran, S.A. & Nielsen, D.C. & Ahuja, L.R. & Ma, L. & Lyon, D.J., 2013. "Simulated yield and profitability of five potential crops for intensifying the dryland wheat-fallow production system," Agricultural Water Management, Elsevier, vol. 116(C), pages 175-192.
    11. Ahmadzadeh Araji, Hamidreza & Wayayok, Aimrun & Massah Bavani, Alireza & Amiri, Ebrahim & Abdullah, Ahmad Fikri & Daneshian, Jahanfar & Teh, C.B.S., 2018. "Impacts of climate change on soybean production under different treatments of field experiments considering the uncertainty of general circulation models," Agricultural Water Management, Elsevier, vol. 205(C), pages 63-71.
    12. Gonçalo C. Rodrigues & Ricardo P. Braga, 2021. "A Simple Procedure to Estimate Reference Evapotranspiration during the Irrigation Season in a Hot-Summer Mediterranean Climate," Sustainability, MDPI, vol. 13(1), pages 1-13, January.
    13. Yang, Yang & Luo, Yufeng & Wu, Conglin & Zheng, Hezhen & Zhang, Lei & Cui, Yuanlai & Sun, Ningning & Wang, Li, 2019. "Evaluation of six equations for daily reference evapotranspiration estimating using public weather forecast message for different climate regions across China," Agricultural Water Management, Elsevier, vol. 222(C), pages 386-399.
    14. Chengyi Huang & Sjoerd Willem Duiker & Liangji Deng & Conggang Fang & Weizhong Zeng, 2015. "Influence of Precipitation on Maize Yield in the Eastern United States," Sustainability, MDPI, vol. 7(5), pages 1-15, May.
    15. Kim, Ho-Jun & Chandrasekara, Sewwandhi & Kwon, Hyun-Han & Lima, Carlos & Kim, Tae-woong, 2023. "A novel multi-scale parameter estimation approach to the Hargreaves-Samani equation for estimation of Penman-Monteith reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 275(C).
    16. Cruz-Blanco, M. & Lorite, I.J. & Santos, C., 2014. "An innovative remote sensing based reference evapotranspiration method to support irrigation water management under semi-arid conditions," Agricultural Water Management, Elsevier, vol. 131(C), pages 135-145.
    17. Raziei, Tayeb & Pereira, Luis S., 2013. "Spatial variability analysis of reference evapotranspiration in Iran utilizing fine resolution gridded datasets," Agricultural Water Management, Elsevier, vol. 126(C), pages 104-118.
    18. Daniela D’Agostino & Alessandra Scardigno & Nicola Lamaddalena & Daniel Chami, 2014. "Sensitivity Analysis of Coupled Hydro-Economic Models: Quantifying Climate Change Uncertainty for Decision-Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4303-4318, September.
    19. Paredes, P. & Pereira, L.S. & Almorox, J. & Darouich, H., 2020. "Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables," Agricultural Water Management, Elsevier, vol. 240(C).
    20. Parihar, C.M. & Jat, S.L. & Singh, A.K. & Ghosh, A. & Rathore, N.S. & Kumar, B. & Pradhan, S. & Majumdar, K. & Satyanarayana, T. & Jat, M.L. & Saharawat, Y.S. & Kuri, B.R. & Saveipune, D., 2017. "Effects of precision conservation agriculture in a maize-wheat-mungbean rotation on crop yield, water-use and radiation conversion under a semiarid agro-ecosystem," Agricultural Water Management, Elsevier, vol. 192(C), pages 306-319.

    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:170:y:2016:i:c:p:158-166. 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.