Effects of Temperature, Solar Radiation, and Vapor-Pressure Deficit on Flower Opening Time in Rice
By K. Kobayasi, Tsutomu Matsui, Mayumi Yoshimoto, Toshihiro Hasegawa. 2010
66 citations recorded by the source corpus.
Abstract Flower opening in the early morning helps to avoid sterility of rice (Oryza sativa L.) caused by heat stress at anthesis. Although flower opening time (FOT) is under genetic control, it is also affected by weather, particularly by air temperature (Ta). However, the effects of Ta, solar radiation (Rs), and vapor-pressure deficit (VPD) on rice FOT are unclear, making it difficult to predict FOT. Therefore, we investigated the correlation of FOT with Ta, Rs, and VPD during various periods before anthesis under field conditions. By photographing spikelets at 10-min intervals, we determined the FOT of five cultivars. To evaluate the individual effects of cultivar, Ta, Rs, and VPD on FOT, we constructed general linear models (GLMs) and calculated mean Ta, R s, and VPD every 3 hr from 0000 to 1200. The GLMs revealed that the average Ta, Rs, and VPD between 0600 and 0900 significantly affected FOT (adjusted R 2 =0.399; P <0.001). The standardized partial regression coefficients of Ta and Rs were negative and those of VPD were positive, indicating that higher Ta, higher Rs, and lower VPD in the early morning result in earlier FOT. Moreover, multiple-regression analysis showed that the period affecting FOT the most, and the relative contributions of Ta, Rs, and VPD to FOT differ with the cultivar.
Subfields: Pharmacology, Plant Science
View Paper: https://www.semanticscholar.org/paper/e458bfdc6d56480b2f332719a775eb44d0ee4c4c
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Citations in the corpus
- Predicting temperature induced sterility of rice spikelets requires simulation of crop-generated microclimate (2013, background): “8 ◦C, the maximum temperature difference between air and panicle observed by Matsui et al. (2007) in Australia under hot and dry conditions based on IR measurements taken at TOA on a different rice cultivar.”
- Genetic Advances in Adapting Rice to a Rapidly Changing Climate (2012, unknown): “These parameters greatly influence flowering pattern (Kobayashi et al. 2010).”