应用缺次灌溉和半产需水量模型鉴定玉米杂交种的抗旱性

doi:10.6048/j.issn.1001-4330.2018.11.005

新疆农业科学 ›› 2018, Vol. 55 ›› Issue (11): 1994-2001.DOI: 10.6048/j.issn.1001-4330.2018.11.005

• 作物遗传育种·种质资源·分子生物学 • 上一篇下一篇

应用缺次灌溉和半产需水量模型鉴定玉米杂交种的抗旱性

唐怀君¹, 谢小清¹, 张磊¹, 孙宝成¹, 周芳芝², 刘成¹

1.新疆农业科学院粮食作物研究所,乌鲁木齐 830091;
2.新疆农业科学院墨玉试验站,新疆墨玉 848100

收稿日期:2018-07-23 发布日期:2019-02-22
通信作者: 刘成(1968-),女,甘肃人,研究员,硕士生导师,研究方向为粮食作物抗旱性,E-mail:liuchengxj@126.com
作者简介:唐怀君(1983-),男,安徽人,助理研究员,研究方向为粮食作物抗旱性,E-mail:tanghuaijun83@sina.com
基金资助:
国家重点研发计划课题“玉米种质资源精准鉴定与创新利用”(2016YFD0100103);新疆农业科学院青年基金项目“玉米杂交种抗旱性与欠量灌水量的理论关系研究”(xjnkq-2018005)

Identification of Drought Resistance of Maize Hybrid by Using the Model of Deficient Irrigation and Semi-Yield Water Demand

TANG Huai-jun¹, XIE Xiao-qing¹, ZHANG Lei¹, SUN Bao-cheng¹, ZHOU Fang-zhi², LIU Cheng¹

1. Research Institute of Food Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091,China;
2.Moyu Experimental Station of Xinjiang Academy of Agricultural Sciences, Moyu Xinjiang 848100, China

Received:2018-07-23 Published:2019-02-22
Correspondence author: LIU Cheng(1968-),female, researcher, master tutor, research direction drought resistance of grain crops,E-mail: liuchengxj@126.com
Supported by:
The National Key R & D Program of China "Accurate Identification and Innovative Utilization of Maize Germplasm Resources"(2016YFD0100103);The Youth Foundation Project of Xinjiang Academy of Agricultural Sciences "Theoretical Relationship between Drought Tolerance of Maize Hybrids and Water Amount of under Deficient Irrigation" (xjnkq-2018005)

摘要/Abstract

摘要： 【目的】研究半产需水量模型鉴定玉米杂交种抗旱性的方法,为精细评价玉米杂交种的抗旱性提供方法指导。【方法】选用6个玉米品种,分别为郑单958、先玉335、新玉33号、新玉54号、新玉67号和新玉69号。在播种后、拔节期、抽雄期、散粉期、灌浆初期、灌浆中期、灌浆末期进行7次缺次灌水,累计灌水量分别为1 050.7、1 725.7、2 400.6、3 451.3、4 351.3、5 251.2、6 000.4 m³/hm²。对6个当前新疆主栽的玉米品种进行抗旱性鉴定。【结果】玉米产量与累计灌水量的关系符合幂饱和曲线模型,模型的产量计算值和产量实测值的相关系数为0.968~0.994,平均相关系数为0.984,均达到了极显著水平,模型拟合效果良好。通过拟合解析,6个玉米品种的半产需水量参数(W_h)在928.4~1 550.6 m³/hm²,充分灌水的产量参数(Y_m)在9 760.9~15 460.2 kg/hm²。品种抗旱性排序结果依次为先玉335、新玉67号、新玉33号、新玉69号、郑单958、新玉54号。【结论】幂指数饱和模型能较好地拟合玉米杂交种的产量和水分关系,模型中的半产需水量是一个重要抗旱性指标,结合缺次灌溉方法,可用于玉米杂交种精细鉴定评价。

关键词: 玉米; 杂交种; 缺次灌水胁迫; 半产需水量; 抗旱性

Abstract: 【Objective】 The experiment of deficient water irrigation stress is an effective way to study drought resistance of maize. This paper aims to introduce the method of identifying drought resistance of maize hybrids by semi-yield water demand model in the hope of providing guidance for the detailed identification and evaluation of the drought resistance of maize hybrid species.【Method】After seeding stage, tasseling stage, pollen dispersal stage, early filling stage, middle filling stage and late filling stage, 7 times of deficient irrigation were carried out. The accumulative irrigation amount was 1,050.7, 1,725.7, 2,400.6, 3,451.3, 4,351.3, 5,251.2, and 6,000.4 m³/ha in the whole growth period, and in the end, drought resistance of the six main maize varieties planted in Xinjiang was identified.【Result】The results showed that the relationship between corn yield and cumulative irrigation amount was in accordance with the power saturation curve model. The correlation coefficient between the calculated output value and the measured output value of the semi-production and demand water model was 0.968 to 0.994, and the average correlation coefficient was 0.984, both of which have reached the extremely significant level, and the model fitting effect was good. Through fitting analysis, the semi-yield water demand parameters (W_h) of 6 maize varieties were between 928.4-1,550.6 m³/hm², and the yield parameters (Y_m) of full irrigation were between 9,760.9-15,460.2 m³/hm². According to the comprehensive consideration of Ym and Wh, the drought-resistance ranking results of the varieties were: Xianyu 335, Xinyu 67, Xinyu 33, Xinyu 69, Zhengdan 958 and Xinyu 54.【Conclusion】The nonlinear power exponent saturation model can fit the relationship between yield and water of maize hybrids. The semi-yield water demand in the model is an important index of drought resistance, which can be applied to the fine identification and evaluation of maize hybrids combined with the method of deficient irrigation.

Key words: maize; hybrid; deficient irrigation stress; semi-yield water demand; drought resistance

中图分类号:

S513

唐怀君, 谢小清, 张磊, 孙宝成, 周芳芝, 刘成. 应用缺次灌溉和半产需水量模型鉴定玉米杂交种的抗旱性[J]. 新疆农业科学, 2018, 55(11): 1994-2001.

TANG Huai-jun, XIE Xiao-qing, ZHANG Lei, SUN Bao-cheng, ZHOU Fang-zhi, LIU Cheng. Identification of Drought Resistance of Maize Hybrid by Using the Model of Deficient Irrigation and Semi-Yield Water Demand[J]. Xinjiang Agricultural Sciences, 2018, 55(11): 1994-2001.

参考文献

[1] 朱婷婷, 王彦霞, 裴丽丽, 等. 植物蛋白激酶与作物非生物胁迫抗旱性的研究[J]. 植物资源遗传学报, 2017, 18(4): 763-770.
ZHU Ting-ting, WANG Yan-xia, PEI Li-li, et al. (2017). Research progress of plant protein kinase and abiotic stress resistance [J]. Journal of Plant Genetic Resources, 18(4): 763-770. (in Chinese)
[2] 王德信, 杨晓莹. 玉米幼苗对干旱胁迫的生理响应[J]. 贵州农业科学, 2018, 46(4): 26-29.
WANG De-xin, YANG Xiao-ying. (2018). Physiological response of maize seedlings under drought stress [J]. Guizhou Agricultural Sciences, 46(4): 26-29. (in Chinese)
[3] 韩登旭, 杨杰, 邵红雨, 等. 玉米耐旱性的配合力分析[J]. 玉米科学, 2013, 21(1): 19-22.
HAN Deng-xu, YANG Jie, SHAO Hong-yu, et al. (2013). Combining ability of drought resistance in maize [J]. Journal of Maize Sciences, 21(1): 19-22. (in Chinese)
[4] 田树云, 文仁来, 何静丹, 等. 广西主栽玉米品种苗期干旱胁迫及复水补偿效应研究[J]. 西南农业学报, 2016, 29(3): 479-485.
TIAN Shu-yun, WEN Ren-lai, HE Jing-dan, et al. (2016). Effect of Guangxi main cultivated maize varieties under drought stress at seedling stage and its water compensation [J]. Southwest China Journal of Agricultural Sciences, 29(3): 479-485. (in Chinese)
[5] 谭君位. 作物模型参数敏感性和不确定性分析方法研究[D]. 武汉, 武汉大学博士学位论文, 2017.
TAN Jun-wei. (2017). Study on parameter sensitivity and model uncertainty analysis of crop model[D]. PhD Dissertation. Wuhan University, Wuhan. (in Chinese)
[6] 张红英, 李世娟, 诸叶平, 等. 小麦作物模型研究进展[J]. 中国农业科技导报, 2017, 19(1): 85-93.
ZHANG Hong-ying, LI Shi-juan, ZHU Ye-ping, et al. (2017).Research progress on wheat crop model [J]. Journal of Agricultural Science and Technology, 19(1): 85-93. (in Chinese)
[7] 胡玉昆, 王玉坤, 杨艳敏, 等. 利用作物模型估算农业需水量的探讨[J]. 节水灌溉, 2009, (11):18-20.
HU Yu-kun, WANG Yu-kun, YANG Yan-min, et al. (2009). Discussion on using crop model to evaluate agricultural water demand quantity [J]. Water Conservation Irrigation, (11): 18-20. (in Chinese)
[8] 马波, 田军仓. 作物生长模拟模型研究综述[J]. 节水灌溉, 2010, (2):1-5.
MA Bo, TIAN Jun-cang. (2010).A review on crop growth simulation model research [J]. Water Conservation Irrigation, (2): 1-5. (in Chinese)
[9] Liu, C. , Sun, B. C. , Tang, H. J. , Wang, T. Y. , Li, Y. , & Zhang, D. F. , et al. (2017). Simple nonlinear model for the relationship between maize yield and cumulative water amount. Journal of Integrative Agriculture, 16(4): 858-866.
[10] 李秋祝, 赵宏伟, 魏永霞, 等. 春玉米不同生育时期干旱对主要生理参数的影响[J]. 东北农业大学学报, 2006, 37(1): 8-11.
LI Qiu-zhu, ZHAO Hong-wei, WEI Yong-xia, et al. (2006). Effect of the physiological parameters in different growth stages of spring maize by drought [J]. Journal of Northeast Agricultural University, 37(1): 8-11. (in Chinese)
[11] 彭云玲, 赵小强, 任续伟, 等. 开花期干旱胁迫对不同基因型玉米生理特性和产量的影响[J]. 干旱地区农业研究, 2014, 32(3): 9-14.
PENG Yun-ling, ZHAO Xiao-qiang, REN Xu-wei, et al. (2014). Genotypic differences in response of physiological characteristics and grain yield of maize inbred lines to drought stress at flowering stage [J]. Agricultural Research in the Arid Areas, 32(3): 9-14. (in Chinese)
[12] 李全起, 陈雨海, 房全孝. 夏玉米种植中水分问题的研究进展[J]. 玉米科学, 2004, 12(1): 72-75.
LI Quan-qi, CHEN Yu-hai, FANG Qian-xiao. (2004). Study progress on the water problems of summer maize planting [J]. Journal of Maize Sciences, 12(1): 72-75. (in Chinese)
[13] 郑利均. 膜下滴管玉米需水规律的研究[D]. 石河子: 石河子大学硕士学位论文,2014.
ZHENG Li-jun. (2014). Study on water requirement of corn with sub membrane drip tube[D]. Master Dissertation. Shihezi University, Shihezi. (in Chinese)
[14] 刘化涛, 黄学芳, 黄明镜, 等. 穗期干旱胁迫下春玉米产量与抗旱性分析研究[J].中国农学通报,2014,(27):77-81.
LIU Hua-tao, HUANG Xue-fang, HUANG Ming-jing, et al. (2014). Research and analysis of maize yield and drought resistance under drought stress in heading stage [J]. Chinese Agricultural Science Bulletin, (27):77-81. (in Chinese)
[15] 刘化涛, 黄学芳, 黄明镜, 等. 拔节期干旱对春玉米产量性状及抗旱性的影响[J].作物杂志, 2016,(2):89-94.
LIU Hua-tao, HUANG Xue-fang, HUANG Ming-jing, et al. (2016). Effects of drought stress at jointing stage on yield and drought resistance in spring maize [J]. Crops, (2): 89-94. (in Chinese)

应用缺次灌溉和半产需水量模型鉴定玉米杂交种的抗旱性

Identification of Drought Resistance of Maize Hybrid by Using the Model of Deficient Irrigation and Semi-Yield Water Demand

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