Varieties & Technology

Risk Prediction of the Damage of High Temperature at Flowering Stage on Middle-season Hybrid Rice in Southeastern of Sichuan Basin

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  • 1Rice and Sorghum Research Institute, Sichuan Academy of Agricultural Sciences / Key Laboratory of Southwest Rice Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Deyang, Sichuan 618000, China
    2Neijiang Academy of Agricultural Sciences, Neijiang, Sichuan 641000, China
    3Southwest University of Science and Technology, Mianyang, Sichuan 621010, China
    4Yibin Academy of Agricultural Sciences, Yibin, Sichuan 644000, China
    5Mianyang Academy of Agricultural Sciences, Mianyang, Sichuan 621023, China
    6Institute of Biological and Nuclear Technology, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China
    7Soil and Fertilizer Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China
    8Fushun County Agricultural Technology Station, Fushun, Sichuan 643200, China

Received date: 2020-11-26

  Online published: 2021-05-20

Abstract

Accurately predicting the probability of encountering extreme high temperature during flowering period of hybrid mid-season rice in different regions, which conducive to the formulate of high-yield and stable-yield production technology for local rice production. In 2018 and 2019, using 22 new mid-season hybrid rice varieties promoted in Sichuan province as materials, the ecological adaptability test of varieties was carried out in different ecological sites in southeast of Sichuan Basin, and the prediction method of the risk of natural high temperature damage to the hybrid mid-season rice during flowering period based on longitude, latitude and altitude was studied. The result showed that: (1) the sequence of the 5th day after full heading was negatively correlated with longitude while positively correlated with altitude, yet not significantly correlated with latitude. A regression model based on longitude (x1) and elevation(x3) was established to predict the sequence of rice on the 5th day after full heading, in which the F value was 13.25**~ 13.56**, and the coefficient of determination is 0.8688~0.8715.(2) The model was validated on several varieties at 6 ecological sites for two consecutive years. The determination coefficient of 1:1 regression model between measured value and predicted value was 0.8362~0.8641, and the RMSE between the measured value and the predicted value was 0.83%~1.18%. There is a good performance in consistency between the predicted value and the measured value.(3) Combining the relational model between full heading date and geographical position established in this study with the previous model based on geographical position (latitude: x2, elevation: x3) to predict the earliest occurrence of ≥35°C established by the author, etc., the research has studied the rate of damage by extreme high temperature in flowering stage of mid-season hybrid rice in different geographical locations. Information of geographical location is useful to achieve accurate prediction of the risk of extreme high temperature injury at flowering stage of mid-season hybrid rice, which has high applicability in production.

Cite this article

Fuxian XU, Chi YUAN, Xuechun WANG, Dong HAN, Shuang LIAO, Zhiyong ZHANG, Kun CHEN, Shiqing ZENG, Rong XIE, Xingbing ZHOU, Zhengming ZENG, Lin ZHANG, Bo YANG, Peng JIANG . Risk Prediction of the Damage of High Temperature at Flowering Stage on Middle-season Hybrid Rice in Southeastern of Sichuan Basin[J]. China Rice, 2021 , 27(3) : 83 -88 . DOI: 10.3969/j.issn.1006-8082.2021.03.017

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