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陇东黄土高原塬区夏季气候变化对春玉米发育及产量的影响 被引量:4
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作者 张红妮 张洪芬 +2 位作者 何树洲 周忠文 车向军 《湖北农业科学》 2022年第5期165-170,176,共7页
利用地处陇东黄土高原塬区的庆阳市西峰区1990—2018年夏季平均气温、降水量、日照时数、春玉米发育期及产量资料,分析了夏季平均气温、降水量、日照时数的变化特征及其对春玉米发育期和产量的影响。结果表明,夏季平均气温呈上升趋势,... 利用地处陇东黄土高原塬区的庆阳市西峰区1990—2018年夏季平均气温、降水量、日照时数、春玉米发育期及产量资料,分析了夏季平均气温、降水量、日照时数的变化特征及其对春玉米发育期和产量的影响。结果表明,夏季平均气温呈上升趋势,上升速率为每10年0.46℃;降水量呈波动增加趋势,增加速率为每10年4.22 mm;日照时数呈减少趋势,减少速率每10年为4.76 h。夏季平均气温偏高年较偏低年春玉米各平均发育期均提前,全生育期日数缩短,平均气候产量偏低;夏季降水量偏多年较偏少年春玉米各平均发育期均推迟,全生育期日数延长,平均气候产量偏高;夏季日照时数偏多年较偏少年春玉米各平均发育期均提前,但对全生育期日数和平均气候产量的影响不明显。夏季气象因子影响气候产量最显著的是降水量,其次是气温,日照时数与气候产量的相关性不显著。平均气温影响气候产量相关最显著的是拔节-抽雄期;降水量影响气候产量相关最显著的是拔节-抽雄期;日照时数影响气候产量相关最显著的是开花-吐丝期。 展开更多
关键词 夏季气候 变化特征 玉米发育期和气候产量 影响分析与评估
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陇东地区影响玉米产量的降水分析 被引量:1
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作者 韩永翔 陈丽萍 《干旱气象》 1994年第1期33-34,共2页
通过对陇东地区玉米产量与不同生育时段降水关系的分析,指出降水影响陇东玉米产量的关键时段是拨节至抽雄和开花灌浆期。其中5月上旬至7月上旬或中旬,降水对产量呈正效应,7月中旬以后,呈负效应。
关键词 玉米气候产量 调和权重法 年型分析
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华亭县玉米产量与气象条件关系和预报模式 被引量:2
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作者 缪翔 汝淑玲 《干旱气象》 1996年第1期35-36,共2页
华亭县玉米产量与气象条件关系和预报模式缪翔汝淑玲(华亭县气象局744100)玉米是华亭县主要秋粮作物之一,年种植面积为7333hm2,占粮田总面积的31%。由于该县地处高寒阴湿山区,地理环境复杂,气候差异较大,农业生... 华亭县玉米产量与气象条件关系和预报模式缪翔汝淑玲(华亭县气象局744100)玉米是华亭县主要秋粮作物之一,年种植面积为7333hm2,占粮田总面积的31%。由于该县地处高寒阴湿山区,地理环境复杂,气候差异较大,农业生产水平较低,玉米产量的丰欠对全年粮... 展开更多
关键词 玉米产量 气象条件 华亭县 玉米气候产量 效果检验 预报模式 相关系数 拟合方程 产量预报 趋势产量
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陇东塬区气象要素变化对玉米产量影响
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作者 张军宽 《甘肃农业》 2006年第5期83-83,共1页
采用回归积分法分析了陇东塬区地温、气温、降水、日照对玉米气候产量的影响,表明水分影响着玉米生育的全过程,地温对玉米播种出苗和灌浆期影响较大,气温则在乳熟后期对产量影响较大,且地温对产量的影响比气温更为显著。
关键词 陇东塬区 气象要素 玉米气候产量
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Effects of Climate Changes on Maize Yield in Northeast China 被引量:10
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作者 贾建英 郭建平 《Agricultural Science & Technology》 CAS 2010年第6期169-174,共6页
Based on the meteorological data and production data of maize of 10 stations in Northeast China from 1961 to 2006,the primary climatic factors influencing maize yield in different region were studies by the method of ... Based on the meteorological data and production data of maize of 10 stations in Northeast China from 1961 to 2006,the primary climatic factors influencing maize yield in different region were studies by the method of Baier yields models.The result showed that the yield of maize in Heilongjiang and Jilin Province were mainly affected by temperatures,with air temperature increased,the meteorological yield of maize increased.The meteorological yield of maize in Liaoning Province was mainly affected by precipitation and sunshine duration,and different regions had different effects. 展开更多
关键词 NORTHEAST Climate change Yield of maize
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Climate Influence on Rice, Maize and Wheat Yields and Yield Variability in Nepal
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作者 Mahadeb Prasad Poudel Shwu-En Chen Wen-Chi Huang 《Journal of Agricultural Science and Technology(B)》 2014年第1期38-48,共11页
The weather has a significant influence on yield fluctuations in Nepal, particularly for grains. This study examined the effect of seasonal precipitation, maximum and minimum temperatures and extreme climatic variable... The weather has a significant influence on yield fluctuations in Nepal, particularly for grains. This study examined the effect of seasonal precipitation, maximum and minimum temperatures and extreme climatic variables on yield levels and variability of rice, maize and wheat yields. The authors applied a stochastic production function approach as suggested by Just-Pope for panel data at the district level. The estimation results indicated that climate trends in Nepal had a significant influence on crop yield levels and variances in various magnitudes and directions. The results showed an increase in precipitation negatively influenced maize yield levels and positively influenced wheat yield levels; however, a positive influence was found to reduce yield variability in rice and wheat. Similarly, an increase in maximum temperature apparently led to decreased maize and increased wheat yield levels, respectively, and also led to increased yield variability in rice and maize. Likewise, the minimum temperature was helpful to increase yield levels for all crops and to decrease the yield variability in rice and maize. Moreover, the extreme climates such as low precipitation and high maximum temperatures significantly influenced the reduction in yield levels of rice and maize, respectively that could be used to design an index insurance product for Nepal. 展开更多
关键词 Climate change extreme climate stochastic production function yield variability Nepal.
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