Accounting for soil moisture improves prediction of flowering time in chickpea and wheat

被引:42
作者
Chauhan, Yashvir S. [1 ]
Ryan, Merrill [2 ]
Chandra, Subhash [3 ]
Sadras, Victor O. [4 ,5 ]
机构
[1] DAF, Kingaroy, Qld 4610, Australia
[2] DAF, Hermitage Res Stn, 604 Yangan Rd, Warwick, Qld 4370, Australia
[3] Agr Victoria, Agr Res Div, 255 Ferguson Rd, Tatura, Vic 3616, Australia
[4] Univ Adealide, South Australian Res & Dev Inst, Adelaide, SA, Australia
[5] Univ Adealide, Sch Agr Food & Wine, Adelaide, SA, Australia
关键词
CICER-ARIETINUM L; WATER-STRESS; SOUTHEASTERN QUEENSLAND; PHENOLOGICAL RESPONSES; DARLING DOWNS; PLANT-DENSITY; TEMPERATURE; GROWTH; PHOTOPERIOD; SIMULATION;
D O I
10.1038/s41598-019-43848-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Matching crop phenology to environment is essential to improve yield and reduce risk of losses due to extreme temperatures, hence the importance of accurate prediction of flowering time. Empirical evidence suggests that soil water can influence flowering time in chickpea and wheat, but simulation models rarely account for this effect. Adjusting daily thermal time accumulation with fractional available soil water in the 0-60 cm soil layer improved the prediction of flowering time for both chickpea and wheat in comparison to the model simulating flowering time with only temperature and photoperiod. The number of post-flowering frost events accounted for 24% of the variation in observed chickpea yield using a temperature-photoperiod model, and 66% of the variation in yield with a model accounting for top-soil water content. Integrating the effect of soil water content in crop simulation models could improve prediction of flowering time and abiotic stress risk assessment.
引用
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页数:11
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