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Please wait a minute... For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails Select Regionalization of the Climate Suitability on Pomegranate Planting in Xianyang Based on GIS Yan Liu, Jin Liu, Wenting Quan, Jinting Wang, Zixuan Wang, Qichen Liang Chinese Agricultural Science Bulletin    2020, 36 (10): 109-113.   DOI: 10.11924/j.issn.1000-6850.casb19020036 Abstract + (464)    HTML (2)    PDF (2314KB) (127)       Knowledge map    To study the climate suitability of pomegranate planting, make full use of climate resources, and find suitable areas for pomegranate cultivation in Xianyang, based on the latest meteorological observed data of 12 stations in Xianyang from 1988 to 2017, GIS technology was used to carry out climatic suitability regionalization of Xianyang pomegranate cultivation, aiming to provide a basis for pomegranate production and agricultural structure adjustment. There were 8 indices of climatic division for pomegranate, namely, ≥10℃ active accumulate temperature from bud emergence to fruit maturity, ≥10℃ active accumulate temperature during the annual growth period, sunshine hours of the year, sunshine hours on September, precipitation from July to September, the average temperature difference between day and night at 18-21℃, extreme minimum temperature of the year, extreme minimum temperature of ten days. The results showed that: the quality area of pomegranate cultivation accounted for 14.9%, mainly distributed in Sanyuan, most of Jingyang, northwest of Weicheng District, eastern Liquan, and northern Qianxian; the suitable area accounted for 21.3%, distributed in Xingping City, Qindu District, Weicheng District, the southern part of Liquan County, the southern part of Qianxian County and the Taiyuan District of Wugong north; the inferior area accounted for 16.6%, and the unsuitable area accounted for 47.2%. Except Wugong, the south of Xianyang dry belt is a suitable area for pomegranate planting, the light, heat and water climate resources in this area meet all the meteorological factors needed for high-quality production of pomegranate, and the cultivation of pomegranate can be developed in this region vigorously. Select Climatic Characteristics and Forecast Method of Strong Cooling in Eastern Hexi Corridor Jinxiu Zhang, Xiaoling Yang, Zhanfeng Sun, Xiangrong Peng Chinese Agricultural Science Bulletin    2020, 36 (10): 114-121.   DOI: 10.11924/j.issn.1000-6850.casb18120061 Abstract + (461)    HTML (0)    PDF (1582KB) (212)       Knowledge map    Using strong cooling data [the lowest temperature decline rate of 24 (48) h was ≥8 (10)℃ and the lowest temperature was ≤4℃] of five meteorological stations in eastern Hexi corridor during 1961 to 2010, climatic characteristics of temporal and spatial distribution and intensity of strong cooling were analyzed systematically by statistical methods. The results showed that strong cooling times were more obvious in high elevation mountainous and northern desert edge than that in oasis plain area. Strong cooling times of age and year had an overall reducing tendency. Strong cooling weather occurred mainly from January to May and from September to December, mostly in April. The variable rate of strong cooling times of each strength was relatively large, and strong cooling times reduced rapidly with the cooling intensity increased. The strong cooling intensity of 24 h showed an overall weak reducing tendency, and that of 48 h showed a weak increasing tendency. Selecting ECMWF numerical forecast grid field data at 20:00 day by day from January to May and from September to December during 2004 to 2013, forecast factors were selected initially and precisely by Press criterion and stepwise regression method. The monthly lowest temperature forecast equations of each region were built with optimal subset regression, and the overall situation and optimal forecast equations were determined finally with the CSC double grading criterion. The forecast equations passed significance level examination of α=0.01. Forecast marginal value and forecast rank of strong cooling were determined with the biggest approaches principle. Forecast fitting rate of 24 and 48 h was 80.0%-83.3% and 81.3%-86.2%, respectively, and the forecast accuracy rate of 24 and 48 h was 71.4%-75.0% and 73.3%-77.1%, respectively, reaching high fitting and forecast level, and could provide objective and effective guiding products for strong cooling forecast and early warning. Select Analysis of a Rainstorm Forecast Error in Guangxi on June 12, 2018 Huining Ou, Xin Li, Wei Zhou Chinese Agricultural Science Bulletin    2020, 36 (10): 122-126.   DOI: 10.11924/j.issn.1000-6850.casb18110051 Abstract + (443)    HTML (2)    PDF (2873KB) (96)       Knowledge map    The paper aims to study the reasons for the omissive forecast in western Guangxi and the empty forecast in eastern Guangxi on a rainstorm in June 12, 2018, and provide reference for future forecast. Based on the conventional ground observation data, sounding data and numerical forecast data, the weather situation and the physical quantity field were analyzed. The results showed that the rainstorm process forecast should not only focus on the large circulation situation, but also consider the moisture and energy conditions. The forecasters’ preconceived forecasting ideas and over-reliance on numerical forecast data made the emphasis on the process of other factors different, and the analysis of moisture, energy and dynamic conditions were not fully grasped. When the effect of short-term and medium-term forecast was not good, it could be compensated by short-term forecast. Select Seeding Dates Influence the No-till Rapeseed Agronomic Traits and Yield in Low Altitude Mountain Areas Jincheng Yang, Jianjian Liu, Jiaojiao Lin, Xinzhou Hu, Zhengyun An, Hongyan Li, Guan Qu, Junhua Feng, Yuecai Bai, Zhilin Wu, Li’an Shi, Ru Li Chinese Agricultural Science Bulletin    2020, 36 (10): 18-24.   DOI: 10.11924/j.issn.1000-6850.casb19010125 Abstract + (430)    HTML (15)    PDF (1383KB) (80)       Knowledge map    To comprehensively assess and recommend the optimum seeding date of no-till rapeseed in low altitude mountain areas, comparisons of no-till rapeseed agronomic traits and yield of 10 seeding dates in 4 altitude areas were carried out from 2011 to 2015 in Yuxi by using grey relation analysis and fuzzy clustering analysis. The results indicated that: (1) there was significant difference of main agronomic traits among different seeding dates, the main agronomic traits of rapeseed of earlier seeding date were better than that of conventional seeding date (October 10); (2) the correlation between yield and main agronomic traits varied in different degrees; (3) the yield of different seeding dates varied in different degrees; (4) the optimum seeding date of no-till rapeseed depended on climate, the best seeding date in warm year was around August 10 -September 10, whereas in cold year it was around August 30 - September 30. Therefore, according to the comprehensive evaluation of the yielding ability and stability of rapeseed of 10 seeding dates during 5 years, the optimum seeding date of August 30 - September 10 is recommended for no-till rapeseed in low altitude mountain areas.