Please wait a minute...
Journal of Integrative Agriculture  2022, Vol. 21 Issue (8): 2241-2252    DOI: 10.1016/S2095-3119(21)63672-9
Special Issue: 棉花合辑Cotton
Crop Science Advanced Online Publication | Current Issue | Archive | Adv Search |
Growth and yield responses to simulated hail damage in drip-irrigated cotton
WANG Le, LIU Yang, WEN Ming, LI Ming-hua, DONG Zhi-qiang, CUI Jing, MA Fu-yu
Agricultural College, Shihezi University/National and Local Joint Engineering Research Center of Information Management and Application Technology for Modern Agricultural Production (XPCC), Shihezi 832003, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  

为明确不同生育时期受灾对棉花恢复生长及产量的影响,本研究于2018-2019年,以鲁棉研24号为供试材料,采用自制工具拍打法从棉花五叶期至吐絮期每隔约15天(同一地块只进行一次损害处理)进行4种程度(0%、30%、60%和90%),共计六次(、Ⅱ、Ⅲ、Ⅳ、Ⅴ、Ⅵ)的雹灾模拟试验,获取受灾后植株叶面积指数、光合势、干物质积累与分配、产量及吐絮铃空间分布图。研究结果表明,棉花籽棉产量随受灾程度的增加而下降,降幅随受灾时期的推迟而增大,其中在花后(第Ⅳ、Ⅴ、Ⅵ时期),30%、60%和90%受灾程度的产量比0%受灾程度分别减少9%-17%、22%-37%和48%-71%。这是由于棉花受雹灾损害后植株叶面积指数和光合势下降,导致干物质积累量减少,但由于棉花的无限生长习性,花前(第Ⅰ、Ⅱ、Ⅲ时期)受灾后营养器官产生较强的补偿能力进而促使蕾铃发育,仅植株中上部及外围果节的吐絮铃受到影响,造成较少的产量损失;花后受灾后营养器官补偿能力下降、恢复时间短,不足以促进新生铃发育、成熟,导致有效果枝数及各果节吐絮铃数下降,造成较大的产量损失。因此,花前受灾后补救措施应以促蕾铃发育为主,促叶片发育为辅;花后受灾后补救应以保铃、促叶片发育为主。本文从灾后植株叶面积指数、光合势、地上生物量积累与分配等方面研究棉花受雹灾损害后的恢复生长及其对最终产量的影响,该研究结果可为减灾、制定灾后管理方案及产量预测提供理论依据




Abstract  The frequent occurrence of hailstorm in Xinjiang affects cotton (Gossypium hirsutum L.) production and causes enormous economic loss.  The indeterminate growth habit of cotton allows for varying degrees of recovery and yield when different hail damage levels occur at different stages, which brings inconvenience to agricultural insurance claims and post-damage management.  Therefore, this study aimed to elucidate cotton recovery and yield responses to different levels of simulated hail damage at different growth stages.  Four levels of hail damage (0, 30, 60, and 90%) were simulated every 15 d from the five-leaf stage to the boll opening stage in 2018 and 2019, for a total of six times (I, II, III, IV, V, and VI).  The results showed that seed cotton yield decreased as the damage level increased and yield reduction increased when the damage was applied to older plants (for 30, 60 and 90% damage levels, yield reduction was 9–17%, 22–37% and 48–71%, respectively).  One possible reason was that the leaf area index and leaf area duration of plant canopy decreased after hail damage, resulting in a reduction in the accumulation of above-ground biomass.  However, when hail damage occurred before bloom, due to the indeterminate growth habit of cotton, the vegetative organs produced a strong compensation ability that promoted the bud development.  The compensation ability of vegetative organs decreased when hail damage occurred after bloom and the recovery time was too short to promote new boll maturity.  As the first study to understand the recovery of cotton after hail damage, it analyzed the leaf area index, leaf area duration, above-ground biomass accumulation and yield, rather than the yield alone.  The findings are of great importance for cotton production as they inform decisions about post-damage management practices, yield forecasts and insurance compensation.
Keywords:  cotton       compensation       growth       simulated hail damage       yield  
Received: 27 October 2020   Accepted: 18 March 2021
Fund: This study was supported by the Key Technologies and System Construction of Big Data in Main Links of Cotton Production of Xinjiang Production and Construction Corps, China (XPCC) (2018Aa00400), the Financial Science and Technology Plan Project of XPCC, China (2020Ab017), the Financial Science and Technology Plan Project of Shihezi City, China (2020ZD01) and the Autonomous Region Postgraduate Research and Innovation Project, China (XJ2019G082).

About author:  Correspondence MA Fu-yu, E-mail: mfy_agr@shzu.edu.cn; LIU Yang, E-mail: ly.0318@163.com

Cite this article: 

WANG Le, LIU Yang, WEN Ming, LI Ming-hua, DONG Zhi-qiang, CUI Jing, MA Fu-yu. 2022. Growth and yield responses to simulated hail damage in drip-irrigated cotton. Journal of Integrative Agriculture, 21(8): 2241-2252.

Beresford B C. 1967. Effect of simulated hail damage on yield and quality of potatoes. American Journal of Potato Research, 44, 347–354.
Bernhard C F. 1953. Effect of mechanical injury to the cotton plant on yield and fiber quality. MSc thesis, The University of Arizona, USA.
Brook K D, Hearn A B, Kelly C F. 1992. Response of cotton, Gossypium hirsutum L., to damage by insect pests in Australia: Manual simulation of damage. Journal of Economic Entomology, 85, 1368–1377.
Bueckert R A. 2011. Simulated hail damage and yield reduction in lentil. Canadian Journal of Plant Science, 91, 117–124.
Dong T, Liu J, Shang J, Qian B, Ma B, Kovacs J M, Walters D, Jiao X, Geng X, Shi Y. 2019. Assessment of red-edge vegetation indices for crop leaf area index estimation. Remote Sensing of Environment, 222, 133–143.
Dumka D, Bednarz C W, Maw B W. 2004. Delayed initiation of fruiting as a mechanism of improved drought avoidance in cotton. Crop Science, 44, 528–534.
Fisher W D. 1955. A better way to measure hail injury in cotton. College of Agriculture, University of Arizona, USA.
Gitelson A A, Viña A, Arkebauer T J, Rundquist D C, Keydan G. 2003. Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophysical Research Letters, 30, 1248.
Hicks D R, Nelson W W, Ford J H. 1977. Defoliation effects on corn hybrids adapted to the northern corn belt. Agronomy Journal, 69, 387–390.
Irigoyen I, Domeño I, Muro J. 2011. Effect of defoliation by simulated hail damage on yield of potato cultivars with different maturity performed in Spain. American Journal of Potato Research, 88, 82–90.
Kerby T, Keeley M. 1987. Cotton seedlings can withstand some early leaf loss. California Agriculture, 41, 18–19.
Lane H C. 1959. Simulated hail damage experiments in cotton. Texas Agricultural Experiment Station Bulletin, 934, 1–16.
Lauer J G, Roth G W, Bertram M G. 2004. Impact of defoliation on corn forage yield. Agronomy Journal, 96, 651–657.
Lei T T, Gaff N. 2003. Recovery from terminal and fruit damage by dry season cotton crops in tropical Australia. Journal of Economic Entomology, 96, 730–736.
Li Y Q, Xuan W J, Sheng C F. 2006. Activities of chlorophyll and protective enzyme systems in cotton plants (Gossypium hirsutum L.) with heavy leaf removal by no overcompensation. Acta Ecologica Sinica, 26, 830–836. (in Chinese)
Liang Y J, Li X Y, Zheng J Y, Gong Z L, Ai X T, Guo J P, Maimaiti M M, Wang J D. 2020. Overview of cotton Industry situation and existing problems and strategies in Xinjiang in 2019. Cotton Sciences, 42, 14–20. (in Chinese)
Liu X J, Cao Q, Yuan Z F, Liu X, Wang X L, Tian Y C, Cao W X, Zhu Y. 2018. Leaf area index based nitrogen diagnosis in irrigated lowland rice. Journal of Integrative Agriculture, 17, 111–121.
Longer D E, Oosterhuis D M. 1999. Cotton regrowth and recovery from early season leaf loss. Environmental and Experimental Botany, 41, 67–73.
Lu H Q, Qi J, Dai J L, Zhang Y J, Kong X Q, Li Z H, Li W J, Xu S Z, Tang W, Zhang D M, Luo Z, Xin C S, Sun X Z, Dong H Z. 2019. Adjustment and compensation of cotton to physical damage at early squaring stage. Acta Agronomica Sinica, 45, 904–911. (in Chinese)
Lu N, Zhou J, Han Z, Li D, Cao Q, Yao X, Tian Y C, Zhu Y, Cao W X, Cheng T. 2019. Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system. Plant Methods, 15, 1–16.
Luo H H, Li J H, Zhang H Z, He Z J, Gou L, Zhang W F. 2009. Effects of source and sink manipulation on transportation and allocation of leaf photosynthetic products during flowering and boll-setting stage in high-yield cotton of Xinjiang. Cotton Science, 21, 371–377. (in Chinese)
Lv X S, Wang X, Erken A, Rong B. 2016. Analysis of mesoscale characteristic of hailstorm weather in Xinjiang. Advances in Geoscience, 6, 402–411. (in Chinese)
Malik M N A, Edwards D G, Evenson J P. 1981. Effects of flower bud removal and nitrogen supply on growth and development of cotton (Gossypium hirsutum L.). Australian Journal of Plant Physiology, 8, 285–291.
McGregor D I. 1987. Effect of plant density on development and yield of rapeseed and its significance to recovery from hail injury. Canadian Journal of Plant Science, 67, 43–51.
Mo J, McDougall S, Beaumont S, Munro S, Stevens M M. 2018. Effects of simulated seedling defoliation on growth and yield of cotton in southern New South Wales. Crop and Pasture Science, 69, 915–925.
Peacock H A, Hawkins B S. 1974. Hail damage to upland cotton. Agronomy Journal, 66, 100–104.
Power J F, Willis W O, Grunes D L, Reichman G A. 1967. Effect of soil temperature, phosphorus, and plant age on growth analysis of barley. Agronomy Journal, 59, 231–234.
Prins A, Verkaar H J. 1992. Defoliation: Do physiological and morphological responses lead to (over) compensation? In: Pests and Pathogens: Plant Responses to Foliar Attack. BIOS. Oxford, UK. pp. 13–31.
Richards R A. 2000. Selectable traits to increase crop photosynthesis and yield of grain crops. Journal of Experimental Botany, 51, 447–458.
Sadras V O. 1995. Compensation growth in cotton after loss of reproductive organs. Field Crops Research, 40, 1–8.
Sadras V O. 1996. Cotton compensatory growth after loss of reproductive organs as affected by availability of resources and duration of recovery period. Oecologia, 106, 432–439.
Sadras V O, Wilson L J. 1998. Recovery of cotton crops after early season damage by thrips (Thysanoptera). Crop Science, 38, 399–409.
Shi L M, Li B, Li Y Y, Kong L W, Liu W P. 2017. Study on economic loss assessment and risk division of hail disaster in Xinjiang. Journal of Glaciology and Geocryology, 39, 299–307. (in Chinese)
Shi L M, Zhao Z P, Wang X. 2015. Temporal and spatial distribution features of hail disaster in Xinjiang from 1961 to 2014. Journal of Glaciology and Geocryology, 37, 898–904. (in Chinese)
Smith C W, Varvil J J. 1981. Recoverability of cotton following simulated hail damage. Agronomy Journal, 73, 597–600.
Ullah K, Khan N, Usman Z, Ullah R , Saleem F Y, Shah S A I, Salman M. 2016. Impact of temperature on yield and related traits in cotton genotypes. Journal of Integrative Agriculture, 15, 678–683.
Wang F Y, Han H Y, Lin H, Chen B, Kong X H, Ning X Z, Wang X W, Yu Y, Liu J D. 2019. Effects of planting patterns on yield, quality, and defoliation in machine-harvested cotton. Journal of Integrative Agriculture, 18, 79–88.
Wang G, Gutierrez M, Asiimwe R K, Zarnstorff M. 2011. Response of upland cotton (Gossypium hirsutum) to fruiting branch removal. Journal of Agronomy and Crop Science, 197, 155–163.
Wells R. 2001. Leaf pigment and canopy photosynthetic response to early flower removal in cotton. Crop Science, 41, 1522–1529.
Wilson L J, Sadras V O, Heimoana S C, Gibb D. 2003. How to succeed by doing nothing: Cotton compensation after simulated early season pest damage. Crop Science, 45, 2125–2134.
Yang S, Kaggwa R J, Andrade-Sanchez P, Zarnstorff M, Wang G. 2016. Lint yield compensatory response to main stem node removal in upland cotton (Gossypium hirsutum). Journal of Agronomy and Crop Science, 202, 243–253.
Zhang D, Li W, Tang W, Dong H. 2009. Fruiting-branch removal enhances endotoxin expression and lint yield in Bt cotton. Acta Agriculturae Scandinavica (Section B: Plant Soil Science), 59, 424–430.
Zhang Y J, Song X Z, Yang G Z, Li Z H, Lu H Q, Kong X Q, Eneji A E, Dong H Z. 2015. Physiological and molecular adjustment of cotton to water logging at peak-flowering in relation to growth and yield. Field Crops Research, 179, 164–172.

[1] WEI Huan-he, GE Jia-lin, ZHANG Xu-bin, ZHU Wang, DENG Fei, REN Wan-jun, CHEN Ying-long, MENG Tian-yao, DAI Qi-gen. Decreased panicle N application alleviates the negative effects of shading on rice grain yield and grain quality[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2041-2053.
[2] DING Yong-gang, ZHANG Xin-bo, MA Quan, LI Fu-jian, TAO Rong-rong, ZHU Min, Li Chun-yan, ZHU Xin-kai, GUO Wen-shan, DING Jin-feng. Tiller fertility is critical for improving grain yield, photosynthesis and nitrogen efficiency in wheat[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2054-2066.
[3] LIU Dan, ZHAO De-hui, ZENG Jian-qi, Rabiu Sani SHAWAI, TONG Jing-yang, LI Ming, LI Fa-ji, ZHOU Shuo, HU Wen-li, XIA Xian-chun, TIAN Yu-bing, ZHU Qian, WANG Chun-ping, WANG De-sen, HE Zhong-hu, LIU Jin-dong, ZHANG Yong. Identification of genetic loci for grain yield‑related traits in the wheat population Zhongmai 578/Jimai 22[J]. >Journal of Integrative Agriculture, 2023, 22(7): 1985-1999.
[4] GAO Peng, ZHANG Tuo, LEI Xing-yu, CUI Xin-wei, LU Yao-xiong, FAN Peng-fei, LONG Shi-ping, HUANG Jing, GAO Ju-sheng, ZHANG Zhen-hua, ZHANG Hui-min. Improvement of soil fertility and rice yield after long-term application of cow manure combined with inorganic fertilizers[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2221-2232.
[5] WANG Li-xin, WANG Lin-xia, ZHANG Meng-ling, QU Ying-yue, YUAN Ye, Ehsan SADEGHNEZHAD, GAO Meng-jiao, ZHAO Ruo-yu, QI Chao-feng, GUO Xiao-xue, ZHU Wen-hui, LI Rui-mei, DAI Li, LIU Meng-jun, LIU Zhi-guo. A cyclic effect of cAMP and calcium signaling contributes to jujube growth and development[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2094-2110.
[6] LI Qian-chuan, XU Shi-wei, ZHUANG Jia-yu, LIU Jia-jia, ZHOU Yi, ZHANG Ze-xi. Ensemble learning prediction of soybean yields in China based on meteorological data[J]. >Journal of Integrative Agriculture, 2023, 22(6): 1909-1927.
[7] ZHANG Chong, WANG Dan-dan, ZHAO Yong-jian, XIAO Yu-lin, CHEN Huan-xuan, LIU He-pu, FENG Li-yuan, YU Chang-hao, JU Xiao-tang. Significant reduction of ammonia emissions while increasing crop yields using the 4R nutrient stewardship in an intensive cropping system[J]. >Journal of Integrative Agriculture, 2023, 22(6): 1883-1895.
[8] ZHAO Xiao-dong, QIN Xiao-rui, LI Ting-liang, CAO Han-bing, XIE Ying-he. Effects of planting patterns plastic film mulching on soil temperature, moisture, functional bacteria and yield of winter wheat in the Loess Plateau of China[J]. >Journal of Integrative Agriculture, 2023, 22(5): 1560-1573.
[9] ZHANG Zhen-zhen, CHENG Shuang, FAN Peng, ZHOU Nian-bing, XING Zhi-peng, HU Ya-jie, XU Fang-fu, GUO Bao-wei, WEI Hai-yan, ZHANG Hong-cheng. Effects of sowing date and ecological points on yield and the temperature and radiation resources of semi-winter wheat[J]. >Journal of Integrative Agriculture, 2023, 22(5): 1366-1380.
[10] LI Min, ZHU Da-wei, JIANG Ming-jin, LUO De-qiang, JIANG Xue-hai, JI Guang-mei, LI Li-jiang, ZHOU Wei-jia. Dry matter production and panicle characteristics of high yield and good taste indica hybrid rice varieties[J]. >Journal of Integrative Agriculture, 2023, 22(5): 1338-1350.
[11] ZHANG Bing-chao, HU Han, GUO Zheng-yu, GONG Shuai, SHEN Si, LIAO Shu-hua, WANG Xin, ZHOU Shun-li, ZHANG Zhong-dong. Plastic-film-side seeding, as an alternative to traditional film mulching, improves yield stability and income in maize production in semi-arid regions[J]. >Journal of Integrative Agriculture, 2023, 22(4): 1021-1034.
[12] WANG Xin-yu, YANG Guo-dong, XU Le, XIANG Hong-shun, YANG Chen, WANG Fei, PENG Shao-bing. Grain yield and nitrogen use efficiency of an ultrashort-duration variety grown under different nitrogen and seeding rates in direct-seeded and double-season rice in Central China[J]. >Journal of Integrative Agriculture, 2023, 22(4): 1009-1020.
[13] ZHAO Shu-ping, DENG Kang-ming, ZHU Ya-mei, JIANG Tao, WU Peng, FENG Kai, LI Liang-jun.

Optimization of slow-release fertilizer application improves lotus rhizome quality by affecting the physicochemical properties of starch [J]. >Journal of Integrative Agriculture, 2023, 22(4): 1045-1057.

[14] SHI Wen-xuan, ZHANG Qian, LI Lan-tao, TAN Jin-fang, XIE Ruo-han, WANG Yi-lun. Hole fertilization in the root zone facilitates maize yield and nitrogen utilization by mitigating potential N loss and improving mineral N accumulation[J]. >Journal of Integrative Agriculture, 2023, 22(4): 1184-1198.
[15] WANG Yuan-zheng, Olusegun IDOWU, WANG Yun, HOMMA Koki, NAKAZAKI Tetsuya, ZHENG Wen-jing, XU Zheng-jin, SHIRAIWA Tatsuhiko.
Effects of erect panicle genotype and environment interactions on rice yield and yield components
[J]. >Journal of Integrative Agriculture, 2023, 22(3): 716-726.
No Suggested Reading articles found!