The yield characters and quality characters of several new cotton varieties in the mid-south area of Hebei Province were comprehensively evaluated in this pa- per. In different ecological environments, the single-boll...The yield characters and quality characters of several new cotton varieties in the mid-south area of Hebei Province were comprehensively evaluated in this pa- per. In different ecological environments, the single-boll weight of tested cotton vari- eties had the biggest variation coefficient among yield characters and micronaire value had the biggest variation coefficient among fiber quality characters. Path analy- sis indicated that the direct path coefficients of various characters had the flowing order, lint percentage〉 number of bolls per plant〉 single-boll weight〉 seed index among yield components and uniformity index 〉 fiber specific strength〉 micronaire value〉 elongation rate〉 upper half staple length among fiber quality characters. Principal component analysis indicated that the top three principal components contributed 8.263% of accumulated variance, basically reflecting the vast majority of informations of 10 main characters in tested cotton varieties.展开更多
采用1961—2016年黑龙江省62个气象代表站逐日降水数据和NCEP逐日再分析资料,分析黑龙江省主汛期"七下八上"降水气候特征及其环流特征,并利用DERF2.0模式不同起报时次的结果对黑龙江省主汛期降水和环流进行了检验评估。结果表...采用1961—2016年黑龙江省62个气象代表站逐日降水数据和NCEP逐日再分析资料,分析黑龙江省主汛期"七下八上"降水气候特征及其环流特征,并利用DERF2.0模式不同起报时次的结果对黑龙江省主汛期降水和环流进行了检验评估。结果表明:主汛期的降水量占夏季降水量的25%—35%,是黑龙江省夏季降水的主要时段;多雨年500 h Pa高度场出现以东北西部地区为中心的东西向的"+-+"波列,850 h Pa风场有明显的气旋存在;DERF2.0超前10 d和超前5 d对主汛期降水预测的多年平均PS评分为60分左右,超前1 d预测的PS评分为70分;DERF2.0对500 h Pa环流显著区域超前1 d的ACC多年平均为0.58,对黑龙江省南北两个区域850 h Pa纬向风显著区域超前1 d的ACC多年平均分布分别为0.48和0.52。DERF2.0对黑龙江省主汛期降水预测和环流预测均有一定的可预报性,且随着起报时间的临近,模式的预测技巧有较明显的提升。展开更多
基金Supported by Project of Cotton Industry Technology System in Hebei of National Science-technology Support Plan(2009BADA3B01)~~
文摘The yield characters and quality characters of several new cotton varieties in the mid-south area of Hebei Province were comprehensively evaluated in this pa- per. In different ecological environments, the single-boll weight of tested cotton vari- eties had the biggest variation coefficient among yield characters and micronaire value had the biggest variation coefficient among fiber quality characters. Path analy- sis indicated that the direct path coefficients of various characters had the flowing order, lint percentage〉 number of bolls per plant〉 single-boll weight〉 seed index among yield components and uniformity index 〉 fiber specific strength〉 micronaire value〉 elongation rate〉 upper half staple length among fiber quality characters. Principal component analysis indicated that the top three principal components contributed 8.263% of accumulated variance, basically reflecting the vast majority of informations of 10 main characters in tested cotton varieties.
文摘采用1961—2016年黑龙江省62个气象代表站逐日降水数据和NCEP逐日再分析资料,分析黑龙江省主汛期"七下八上"降水气候特征及其环流特征,并利用DERF2.0模式不同起报时次的结果对黑龙江省主汛期降水和环流进行了检验评估。结果表明:主汛期的降水量占夏季降水量的25%—35%,是黑龙江省夏季降水的主要时段;多雨年500 h Pa高度场出现以东北西部地区为中心的东西向的"+-+"波列,850 h Pa风场有明显的气旋存在;DERF2.0超前10 d和超前5 d对主汛期降水预测的多年平均PS评分为60分左右,超前1 d预测的PS评分为70分;DERF2.0对500 h Pa环流显著区域超前1 d的ACC多年平均为0.58,对黑龙江省南北两个区域850 h Pa纬向风显著区域超前1 d的ACC多年平均分布分别为0.48和0.52。DERF2.0对黑龙江省主汛期降水预测和环流预测均有一定的可预报性,且随着起报时间的临近,模式的预测技巧有较明显的提升。
