Title |
Deciphering the Environmental Impacts on Rice Quality for Different Rice Cultivated Areas
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Published in |
Rice, January 2018
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DOI | 10.1186/s12284-018-0198-1 |
Pubmed ID | |
Authors |
Xiukun Li, Lian Wu, Xin Geng, Xiuhong Xia, Xuhong Wang, Zhengjin Xu, Quan Xu |
Abstract |
Rice (Oryza sativa L.) is cultivated in a wide range of climatic conditions, and is one of mankind's major staple foods. The interaction of environmental factors with genotype effects major agronomic traits such as yield, quality, and resistance in rice. However, studies on the environmental factors affecting agronomic traits are often difficult to conduct because most environmental factors are dynamic and constantly changing. A series of recombinant inbred lines (RILs) derived from an indica/japonica cross were planted into four typical rice cultivated areas arranging from latitude N22° to N42°. The environmental data from the heading to mature (45 days) stages were recorded for each RIL in the four areas. We determined that light, temperature, and humidity significantly affected the milling quality and cooking quality overall the four areas. Within each area, these environmental factors mainly affected the head rice ratio, grain length, alkali consumption, and amylose and protein content. Moreover, the effect of these environmental factors dynamically changed from heading to mature stage. Compared to light and humidity, temperature was more stable and predictable, and night temperature showed a stronger correlation efficiency to cooking quality than day temperature, and the daily temperature range had contrary effects compared to day and night temperature on grain quality. The present study evaluated the critical phase during the grain filling stage by calculating the dynamic changes of correlation efficiency between the quality traits and climate parameters. Our findings suggest that the sowing date could be adjusted to improve rice quality so as to adjust for environmental changes. |
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Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 8 | 15% |
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Student > Master | 2 | 4% |
Other | 2 | 4% |
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Unspecified | 1 | 2% |
Other | 4 | 8% |
Unknown | 25 | 48% |