GIS-based modeling of potential yield distributions for different oat varieties in China
Cultivation of the common oat (Avena sativa L) and the naked oat (Avena nuda L) can be highly productive in many types of environments because these species are tolerant to infertile, dry and salty environments. In this study, we modeled the distribution of potential yields for different varieties of oat in China based on CIS assessments. We analyzed the yield of three oat varieties under different environmental conditions and created a model of factors significantly correlated with yield. Stepwise regression models were constructed for each oat variety, and the potential yield distributions were calculated for each variety. Correlating oat variety yield with environmental factors showed that precipitation and soil nutrition content were the most important factors in oat production. Precipitation and soil nutrition during the month of April were positively correlated with yield, while temperature and wind speed in July were negatively correlated with yield. The common oat variety Qingyj444 was capable of pr oducing a fresh grass yield of 30,000 kg/hm2 in western Sichuan, the southwest of Gansu, and certain parts of Qinghai and Heilongjiang province. The naked oat varieties Bayou3 and Pin5 produced high yields of 3000 kg/hm2 in Heilongjiang, the regions north of Shanxi, east of Neimenggu and the southern Gansu province, areas with high quality rain and soil nutrition conditions. We constructed a China Crop Mapping Decision System based on our findings, and this system is accessible through the internet and will facilitate informed agricultural decisionmaking.
Oat Different variety Grain and fresh yield Stepwise regression
Daqian Liu Fan Wan Rui Guo Fengmin Li Huhua Cao Guojun Sun
MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, PR China Department of Geography, University of Ottawa, Ottawa, Ontario, Canada K1N6N5
国际会议
南昌
英文
869-876
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）