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- Rahimi-Moghaddam, Sajjad; Kambouzia, Jafar; Deihimfard, Reza
- Agricultural and forest meteorology 2018 v.253-254 pp. 1-14
- agroecosystems; climate change; climate models; climatic factors; corn; crop models; cultivars; farmers; flowering; grain yield; interdisciplinary research; production technology; risk; sowing date; summer; temperature; winter; Iran
- ... Rise in temperature, particularly in warmer areas, could have a negative effect on maize productivity. However, careful management practices could reduce the effects of high temperatures by altering the sowing dates and type of cultivar. The current study applied APSIM (The Agricultural Production Systems sIMulator) crop model to investigate the interaction of sowing date and cultivar when dealing ...
- Meng, Fandong; Suonan, Ji; Zhang, Zhenhua; Wang, Shiping; Duan, Jichuang; Wang, Qi; Li, Bowen; Luo, Caiyun; Jiang, Lili; Zhang, Lirong; Liu, Peipei; Renzeng, Wangmu; Lv, Wangwang; Wang, Zhezhen; Tsechoe, Dorji; Du, Mingyuan
- Agricultural and forest meteorology 2018 v.253-254 pp. 31-37
- climate change; cooling; flowering; functional diversity; models; moieties; phenology; prediction; regression analysis; species diversity; spring; summer; temperature; China
- ... Lack of understanding of how plant diversity of different flowering functional groups mediates response patterns of community phenophases to climate change limits our ability to predict future phenology. We used reciprocal transplant experiments across four elevations (i.e., 3200, 3400, 3600 and 3800 m) on the Tibetan Plateau for three years to investigate how temperature change (i.e., warming and ...