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Acta Agronomica Sinica ›› 2023, Vol. 49 ›› Issue (5): 1305-1315.doi: 10.3724/SP.J.1006.2023.22026

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Response of reproductive growth period length to climate warming and technological progress in the middle and lower reaches of the Yangtze River during 1981-2010 in single-cropping rice

LIU Er-Hua1,2,3(), ZHOU Guang-Sheng1,2,3,4,*(), WU Bing-Yi2, SONG Yan-Ling1,3, HE Qi-Jin4, LYU Xiao-Min1,3, ZHOU Meng-Zi1,3   

  1. 1State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
    2Institute of Atmospheric Sciences, Fudan University, Shanghai 200439, China
    3Joint Eco-Meteorological Laboratory of Chinese Academy of Meteorological Sciences and Zhengzhou University, Zhengzhou 450001, Henan, China
    4College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
  • Received:2022-04-30 Accepted:2022-10-10 Online:2023-05-12 Published:2022-10-31
  • Contact: *E-mail: zhougs@cma.gov.cn
  • Supported by:
    National Key Research and Development Program of China(2018YFA0606103);National Natural Science Foundation of China(42130514);National Natural Science Foundation of China(4213000565);Basic Research Fund of Chinese Academy of Meteorological Sciences(2020Z004)

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Abstract:

Crop growth period length is closely linked to climate change and technological progress. Even though the extensive researches conducting on crop growth period length variation and its response to climate change, particularly temperature change, the response of reproductive growth periods lengths (RGLs) to climate change and technological progress remains unclear. Based on the reproductive growth periods and meteorological data of single-cropping rice in the middle and lower reaches of the Yangtze River (MLYR) during 1981?2010, the trends of the RGLs (including booting to heading (BDHD), heading to milking (HDMS), milking to maturity (MSMD), and booting to maturity (BDMD)) and climatic variations were analyzed. In addition, to explore the confounding effects of climate change and technological progress on the RGLs, the sensitivities of the RGLs to mean temperature (TEM), cumulative precipitation (PRE), and cumulative sunshine duration (SSD) were measured. The results showed that the BDMD had an extension trend (0.24 d a-1), among which the extension trend in the HDMS (0.16 d a-1) was the most obvious in RGLs, while the extension trends of BDHD (0.03 d a-1) and MSMD (0.05 d a-1) were not significant. High temperature and low sunshine duration were unfavorable to the extension of the RGLs. The mean relative contributions of TEM to the BDHD, HDMS, and MSMD were -50.0%, -50.7%, and -21.9%, which were -47.2%, -48.7%, and -67.6% in terms of SSD, respectively. Technological progress compensated for the adverse impacts of climate change on the trends of different RGLs. These results suggested that cultivar selection and agronomic management were the effective adaptation strategies benefiting for the stable and high yield of single-cropping rice. Single-cropping rice cultivar with longer RGLs and heat-tolerant may be suitable to cope with the continuous climate change in the future.

Key words: single-cropping rice, climate change, reproductive growth period lengths, technological progress

Fig. 1

Locations of the 10 meteorological stations used in the study JXH, JZJ, HGS, HXY, HFX, HZX, SDZ, SGP, CFD, and CYY represent Xinghua station, Zhenjiang station, Gushi station, Xinyang station, Fangxian station, Zhongxiang station, Dazhu station, Gaoping station, Fengdu station, and Youyang station, respectively. The above vector map is from the National Catalogue Service for Geographic Information (https://www.webmap.cn/)."

Fig. 2

Trends in reproductive growth periods and lengths of single-cropping rice in the middle and lower reaches of the Yangtze River during 1981?2010 a, b, c, d, e, f, g, h, i, and j represent tillering stage, booting stage, heading stage, milking stage, maturity stage, tillering-booting, booting-heading, heading-milking, milking-maturity, and booting-maturity, respectively. Trends of indexes were calculated according to formula (1) for each reproductive growth period observed from 1981 to 2010. *: P < 0.05; no: no significant difference. The above vector map is from the National Catalogue Service for Geographic Information (https://www.webmap.cn/)."

Fig. 3

Characteristics of climatic factors change at different reproductive growth stages a, b, and c represent mean temperature, cumulative precipitation, and cumulative sunshine duration of different reproductive growth periods lengths, respectively. d, e, and f represent trends of mean temperature, cumulative precipitation, and cumulative sunshine duration, respectively. TEM, PRE, and SSD represent mean temperature, cumulative precipitation, and cumulative sunshine duration, respectively. TDBD, BDHD, HDMS, MSMD, and BDMD represent tillering to booting, booting to heading, heading to milking, milking to maturity, and booting to maturity, respectively. The change trends of indexes were calculated by the time sequence of meteorological data observed from 1981 to 2010 based on formula (1)."

Table 1

Correlation coefficients of different reproductive growth periods lengths on mean temperature (TEM), cumulative precipitation (PRE), and cumulative sunshine duration (SSD) in the panel regression models"

生殖生长阶段
Reproductive growth periods lengths (RGLs)		 平均温度敏感性Mean temperature sensitivity (β1) 累积降水量敏感性Cumulative precipitation sensitivity (β2) 累积日照时数敏感性Cumulative sunshine duration sensitivity (β3) 决定系数
Determination
coefficient (R2)
分蘖期-孕穗期
Tillering−Booting (TDBD)		 -3.74** 0.010** 0.09** 0.65
孕穗期-抽穗期
Booting−Heading (BDHD)		 -0.77** 0.010** 0.07** 0.59
抽穗期-乳熟期
Heading−Milking (HDMS)		 -1.00** 0.008** 0.08** 0.50
乳熟期-成熟期
Milking−Maturity (MSMD)		 -1.17** 0.007* 0.07** 0.80
孕穗期-成熟期
Booting−Maturity (BDMD)		 -2.08** 0.008** 0.04** 0.72

Table 2

Correlation coefficients of different reproductive growth periods lengths on mean temperature (TEM), cumulative precipitation (PRE), and cumulative sunshine duration (SSD) in the standardized panel regression models"

生殖生长阶段
Reproductive growth periods lengths (RGLs)		 平均温度敏感性Mean temperature sensitivity (β1) 累积降水量敏感性Cumulative precipitation sensitivity (β2) 累积日照时数敏感性Cumulative sunshine duration sensitivity (β3)
分蘖期-孕穗期Tillering−Booting (TDBD) -0.40** 0.08* 0.74**
孕穗期-抽穗期Booting−Heading (BDHD) -0.47** 0.16** 0.65**
抽穗期-乳熟期Heading−Milking (HDMS) -0.43** 0.10* 0.65**
乳熟期-成熟期Milking−Maturity (MSMD) -0.52** 0.09* 0.55**
孕穗期-成熟期Booting−Maturity (BDMD) -0.54** 0.12** 0.32**

Fig. 4

Effects of climate change and technological progress on trends in the RGLs of single-cropping rice T_cli, T_tec, and T_cli_tec indicate the effect trends of climatic factors, technological progress, and the combined of climatic factors and technological progress on different reproductive growth periods lengths, respectively. Abbreviations of different reproductive growth periods lengths are the same as those given in Fig. 3."

Fig. 5

Mean contributions of climate change and technological progress to RGLs of single-cropping rice a: the mean contributions of climate change and technological progress to different reproductive growth periods lengths; b: the mean relative contributions of climatic factors to different reproductive growth periods lengths. CRGL_cli and CRGL_tec indicate mean contribution of climatic factors and technological progress to different reproductive growth periods lengths, respectively; RCRGL_TEM, RCRGL_PRE, and RCRGL_SSD indicate mean relative contribution of mean temperature, cumulative precipitation, and cumulative sunshine duration to different reproductive growth periods lengths, respectively. Abbreviations of different reproductive growth periods lengths are the same as those given in Fig. 3."

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[3] YANG Jian-Chang;ZHANG Jian-Hua;WANG Zhi-Qin;ZH0U Qing-Sen. Changes in Contents of Polyamines in the Flag Leaf and Their Relationship with Drought-resistance of Rice Cultivars under Water Deficiency Stress[J]. Acta Agron Sin, 2004, 30(11): 1069 -1075 .
[4] Yan Mei;Yang Guangsheng;Fu Tingdong;Yan Hongyan. Studies on the Ecotypical Male Sterile-fertile Line of Brassica napus L.Ⅲ. Sensitivity to Temperature of 8-8112AB and Its Inheritance[J]. Acta Agron Sin, 2003, 29(03): 330 -335 .
[5] Wang Yongsheng;Wang Jing;Duan Jingya;Wang Jinfa;Liu Liangshi. Isolation and Genetic Research of a Dwarf Tiilering Mutant Rice[J]. Acta Agron Sin, 2002, 28(02): 235 -239 .
[6] WANG Li-Yan;ZHAO Ke-Fu. Some Physiological Response of Zea mays under Salt-stress[J]. Acta Agron Sin, 2005, 31(02): 264 -268 .
[7] TIAN Meng-Liang;HUNAG Yu-Bi;TAN Gong-Xie;LIU Yong-Jian;RONG Ting-Zhao. Sequence Polymorphism of waxy Genes in Landraces of Waxy Maize from Southwest China[J]. Acta Agron Sin, 2008, 34(05): 729 -736 .
[8] HU Xi-Yuan;LI Jian-Ping;SONG Xi-Fang. Efficiency of Spatial Statistical Analysis in Superior Genotype Selection of Plant Breeding[J]. Acta Agron Sin, 2008, 34(03): 412 -417 .
[9] WANG Yan;QIU Li-Ming;XIE Wen-Juan;HUANG Wei;YE Feng;ZHANG Fu-Chun;MA Ji. Cold Tolerance of Transgenic Tobacco Carrying Gene Encoding Insect Antifreeze Protein[J]. Acta Agron Sin, 2008, 34(03): 397 -402 .
[10] ZHENG Xi;WU Jian-Guo;LOU Xiang-Yang;XU Hai-Ming;SHI Chun-Hai. Mapping and Analysis of QTLs on Maternal and Endosperm Genomes for Histidine and Arginine in Rice (Oryza sativa L.) across Environments[J]. Acta Agron Sin, 2008, 34(03): 369 -375 .
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