94
Views
3
CrossRef citations to date
0
Altmetric
Research Article

Growth and yield responses of drip-irrigated cotton to two different methods of simulated hail damages

, , , , , , & show all
Pages 1272-1284 | Received 11 Nov 2019, Accepted 28 Jun 2020, Published online: 16 Aug 2020

References

  • Ata-Ul-Karim ST, Zhu Y, Yao X, Cao WX. 2014. Determination of critical nitrogen dilution curve based on leaf area index in rice. Field Crop Res. 167:76–85. doi:10.1016/j.fcr.2014.07.010
  • Bernhard CF 1953. Effect of mechanical injury to the cotton plant on yield and fiber quality [M.S. thesis]: The university of Arizona.
  • Bueckert RA. 2011. Simulated hail damage and yield reduction in lentil. Can J Plant Sci. 91(1):117–124. doi:10.4141/cjps10125.
  • Counce PA, Wells BR, Norman RJ. 1994. Simulated hail damage to rice: I. susceptible growth stages. Agron J. 86(6):1107–1113. doi:10.2134/agronj1994.00021962008600060034x.
  • Du MM, Noboru N, Atsushi I, Yukinori S. 2017. Multi-temporal monitoring of wheat growth by using images from satellite and unmanned aerial vehicle. Int J Agr Boil Eng. doi:10.25165/j.ijabe.20171005.3180
  • Graeff S, Claupein W. 2003. Quantifying nitrogen status of corn (Zea mays L.) in the field by reflectance measurements. Eur J Agron. 19(4):611–618. doi:10.1016/s1161-0301(03)00007-8.
  • Hicks DR, Nelson WW, Ford JH. 1977. Defoliation effects on corn hybrids adapted to the northern corn Belt1. Agron J. 69:387–390. doi:10.2134/agronj1977.00021962006900030014x
  • Jalali HA. 2013. Potato (\r, Solanum tuberosum\r, L.) yield response to simulated hail damage. Arch Agron Soil Sci. 59:981–987. doi:10.1080/03650340.2012.699674
  • Lane HC. 1959. Simulated hail damage experiments in cotton. Texas Agric Exp Stn Bull. 934:1–16.
  • Lee KJ, Lee BW. 2011. Estimating canopy cover from color digital camera image of rice field. J Crop Sci Biotechnol. 14:151–155. doi:10.1007/s12892-011-0029-z
  • Longer DE, Oosterhuis DM. 1999. Cotton regrowth and recovery from early season leaf loss. Environ Exp Bot. 41: 67–73. doi:10.1016/s0098-8472(98)00050-1
  • Lv XS, Wang X, Erken A, Rong B. 2016. Analysis of mesoscale characteristic of hailstorm weather in Xinjiang. Adv Geosci. 6:402–411. Chinese. doi:10.12677/AG.2016.65042.
  • Makanza R, Zaman-Allah M, Cairns J, Magorokosho C, Tarekegne A, Olsen M, Prasanna B. 2018. High-throughput phenotyping of canopy cover and senescence in maize field trials using aerial digital canopy imaging. Remote Sens. 10(2):330. doi:10.3390/rs10020330.
  • Miya SP, Modi AT, Mabhaudhi T. 2017. Interactive effects of simulated hail damage and plant density on maize seed quality. Seed Sci Technol. 45:1–12. doi:10.15258/sst.2017.45.1.02
  • Niyari AA, Hassanpanah D, Faramarzi A. 2013. Evaluation of hail damage simulation through correlations and regression analysis between studied traits in Agria cultivar. Intl J Farm & Alli Sci. 2:1106–1111.
  • Pagola M, Ortiz R, Irigoyen I, Bustince H, Barrenechea E, Aparicio-Tejo P, Lamsfus C, Lasa B. 2009. New method to assess barley nitrogen nutrition status based on image colour analysis: comparison with SPAD-502. Comput Electron Agr. 65(2):213–218. doi:10.1016/j.compag.2008.10.003.
  • Peacock HA, Hawkins BS. 1974. Hail damage to upland cotton1. Agron J. 66:100–104. doi:10.2134/agronj1974.00021962006600010028x
  • Peters AJ, Griffin SC, Vina A, Ji L. 2000. Use of remotely sensed data for assessing crop hail damage. Photogramm Eng Rem S. 66:1349–1355. doi:10.1007/s001900000119
  • Reiko I, Oguma H. 2010. Use of digital cameras for phenological observations. Ecol Inform. 5:339–347. doi:10.1016/j.ecoinf.2010.07.002
  • Seino H. 1985. Experimental study on crop damage by hail. J Agric Meteorol. 40:361–368. doi:10.2480/agrmet.40.361
  • Shi L, Li B, Li YY, Kong LW, Liu WP. 2017. Study on economic loss assessment and risk division of hail disaster in Xinjiang. J Glaciol Geocryol. 39: 299–307. Chinese.
  • Shi LM, Zhao ZP, Wang X. 2015. Temporal and spatial distribution features of hail disaster in Xinjiang from 1961 to 2014. J Glaciol Geocryol. 37: 898–904. Chinese.
  • Sij JW, Ott JP, Olson BLS, Baughman TA. 2005. Growth and yield response to simulated hail damage in guar. Agron J. 97(6):1636–1639. doi:10.2134/agronj2004.0283.
  • Smith CW, Varvil JJ. 1984. Differential recovery among cotton genotypes following early-season defoliation. J Crop Sci. 24(1):151–153. doi:10.2135/cropsci1984.0011183X002400010035x.
  • Sun YY, Zhu SC, Yang X, Weston MV, Wang K, Shen ZQ, Xu HW, Chen L. 2018. Nitrogen diagnosis based on dynamic characteristics of rice leaf image. PLoS One. 13:e0196298. doi:10.1371/journal.pone.0196298
  • Tang JL, Chen XQ, Miao RH, Wang D. 2016. Weed detection using image processing under different illumination for site-specific areas spraying. Comput Electron Agr. 122:103–111. doi:10.1016/j.compag.2015.12.016
  • Verger A, Vigneau N, Chéron C, Gilliot JM, Comar A, Baret F. 2014. Green area index from an unmanned aerial system over wheat and rapeseed crops. Remote Sens Environ. 152:654–664. doi:10.1016/j.rse.2014.06.006
  • Vrindts E, Baerdemaeker JD, Ramon H. 2002. Weed detection using canopy reflection. Precis Agric. 3(1):63–80. doi:10.1023/a:1013326304427.
  • Wang G, Gutierrez M, Asiimwe RK, Zarnstorff M. 2011. Response of upland cotton (Gossypium hirsutum) to fruiting branch removal. J Agron Crop Sci. 197(2):155–163. doi:10.1111/j.1439-037X.2010.00455.x.
  • Wang Y, Shi PH, Zhang G, Ran J, Shi WM, Wang DJ. 2016. A critical nitrogen dilution curve for japonica rice based on canopy images. Field Crop Res. 198:93–100. doi:10.1016/j.fcr.2016.08.032
  • Wang Y, Wang DJ, Zhang G, Wang J. 2013. Estimating nitrogen status of rice using the image segmentation of G-R thresholding method. Field Crop Res. 149:33–39. doi:10.1016/j.fcr.2013.04.007
  • Warneke JE 1958. The effects of simulated hail damage on quality of head lettuce [M.S. thesis]: The university of Arizona.
  • Yang S, Kaggwa RJ, Andrade‐Sanchez P, Zarnstorff M, Wang G. 2016. Lint yield compensatory response to main stem node removal in upland cotton (Gossypium hirsutum). J Agron Crop Sci. 202:243–253. doi:10.1111/jac.12142
  • Zhou JF, Pavek MJ, Shelton SC, Holden ZJ, Sankaran S. 2016. Aerial multispectral imaging for crop hail damage assessment in potato. Comput Electron Agr. 127:406–412. doi:10.1016/j.compag.2016.06.019
  • Ziems JR, Zechmann BJ, Hoback WW, Wallace JC, Madsen RA, Hunt TE, Higley LG. 2006. Yield response of indeterminate potato (Solanum tuberosum L.) to simulated insect defoliation. Agron J. 98(6):1435. doi:10.2134/agronj2005.0245.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.