Response of rice quality of Xiangzaoxian 45 to meteorological factors

doi:10.14088/j.cnki.issn0439-8114.2026.08.002

Abstract

Abstract: The correlations between rice quality obtained from staggered sowing field experiments of Xiangzaoxian 45 in 2024 and 2023 and meteorological conditions of three growth stages (heading to milky ripening, milky ripening to maturity, heading to maturity) were analyzed. Prediction models for rice quality indicators including brown rice rate, milled rice rate, chalky grain rate, chalkiness degree and amylose content were established via quadratic polynomial and linear fitting methods based on datasets of the 1st-4th sowing dates（March 10, March 25, April 5 and April 15） in 2023 as well as the 1st, 3rd and 4th sowing dates in 2024. Data of the 2nd sowing date in 2024 were adopted for model validation, through which prediction error and accuracy were analyzed. The results indicated that prediction errors of all constructed rice quality prediction models were controlled within 5%. Key meteorological factors affecting each rice quality index were identified. Respectively, daily mean precipitation from heading to maturity, diurnal temperature range from heading to milky ripening, daily mean temperature and daily mean maximum temperature from heading to milky ripening, daily mean precipitation together with diurnal temperature range from heading to maturity, and diurnal temperature range from milky ripening to maturity were confirmed as the dominant meteorological factors for brown rice rate, milled rice rate, chalky grain rate, chalkiness degree and amylose content.

Key words: Xiangzaoxian 45, rice quality, meteorological factors, prediction model, accuracy

CLC Number:

S511

YANG Wan-rong, ZHENG Fu-wei, XIE Na, SHUAI Zi-ang, SHUAI Xi-qiang. Response of rice quality of Xiangzaoxian 45 to meteorological factors[J]. HUBEI AGRICULTURAL SCIENCES, 2026, 65(8): 8-13.

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