[1]李阳,魏然,韩德志,等.黑河地区气象因子对大豆品种黑河43产量构成的影响[J].黑龙江农业科学,2022,(06):22-26.[doi:10.11942/j.issn1002-2767.2022.06.0022]
　LI Yang,WEI Ran,HAN De-zhi,et al.Effects of Meteorological Factors on Yield of Soybean Variety Heihe 43 in Heihe Region[J].HEILONGJIANG AGRICULTURAL SCIENCES,2022,(06):22-26.[doi:10.11942/j.issn1002-2767.2022.06.0022]
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黑河地区气象因子对大豆品种黑河43产量构成的影响

《黑龙江农业科学》[ISSN:1002-2767/CN:23-1204/S] 卷: 期数: 2022年06 页码: 22-26 栏目: 出版日期: 2022-06-10
Title:
Effects of Meteorological Factors on Yield of Soybean Variety Heihe 43 in Heihe Region
作者:
李阳1; 魏然2; 3; 韩德志2; 3; 袁园1; 姜宇2; 3; 于晓光2; 崔杰印2; 3; 位昕禹2
1.黑龙江省黑河市气象局，黑龙江 黑河 164300；2.黑龙江省农业科学院 黑河分院，黑龙江 黑河164300；3.国家土壤质量爱辉观测实验站，黑龙江 黑河 164300
Author(s):
LI Yang1; WEI Ran2; 3; HAN De-zhi2; 3; YUAN Yuan1; JIANG Yu2; 3; YU Xiao-guang2; CUI Jie-yin2; 3; WEI Xin-yu2
1.Heihe Meteorological Bureau,Heihe 164300,China; 2.Heihe Branch,Heilongjiang Academy of Agricultural Sciences,Heihe 164300,China; 3.National Soil Quality Aihui Observation Experiment Station,Heihe 164300,China
关键词:
黑河43; 气象因子; 产量构成; 相关分析; 回归分析
Keywords:
Heihe 43;  meteorological factors;  yield composition;  correlation analysis;  regression analysis
DOI:
10.11942/j.issn1002-2767.2022.06.0022
文献标志码:
A
摘要:
目前国内种植面积最大的大豆品种黑河43，产量多年表现较稳定，为探索气象因子对其产量构成的影响，本研究利用2017-2021年连续5年黑河市气象局所观测的气象因子数据，监测黑龙江省农业科学院黑河分院试验基地中黑河43的产量构成因子，对气象因子与产量因子进行相关性分析，建立适合黑河地区的大豆产量预报模型。结果表明：黑河43产量构成与6月平均温度和7月降水量正相关性较强，与9月降水量和7月日照时数呈显著负相关；利用多元线性回归分析，建立了黑河43产量构成的气象因子回归方程Y=3 048.903－3.573X1+2.387X2－3.099X3+0.03X4，表明7月日照时数（X1）、6月降水量（X2）、9月降水量（X3）、7月平均温度（X4）对黑河43的产量构成具有显著作用。该回归方程可有效监测大豆品种黑河43的产量情况，并预测其产量。
Abstract:
At present,Heihe 43,the soybean variety with the largest planting area in China,has a relatively stable yield for many years.In order to explore the influence of meteorological factors on its yield,this study used the meteorological factor data observed by the Heihe Meteorological Bureau for five consecutive years from 2017 to 2021 to monitor Heihe 43 yield composition factor in the branch test base of Heihe Branch of Heilongjiang Academy of Agricultural Sciences.The correlation analysis between the meteorological factor and the yield factor,and the establishment of a soybean yield forecast model which is suitable for Heihe region.The results showed that the yield composition of Heihe 43 had a strong positive correlation with the average temperature in June and precipitation in July,and a noteworthy negative correlation with the precipitation in September and sunshine hours in July.The estimated yield of Heihe 43 was established in use of Multiple Linear Regression analysis.The formed meteorological factor regression equation was Y=3 048.903－3.573X1+2.387X2－3.099X3+0.03X4,indicated that the sunshine hours in July(X1),the precipitation in June(X2),the precipitation in September(X3) and the monthly average temperature in July(X4) had a significant effect on the yield composition.The regression equation can effectively monitor the yield of soybean variety Heihe 43 and predict its yield.

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备注/Memo

收稿日期：2022-03-14

基金项目：国家大豆产业技术体系资金资助项目（CARS-04-05B）；黑龙江省农业科学院“农业科技创新跨越工程”专项-大豆优异品种创制及高产高效栽培配套技术集成（HNK2019CX01-3-2）；高效、绿色现代农业技术示范推广（2021YD003-00）。
第一作者：李阳（1988-），女，硕士，工程师，从事农业气象研究。E-mail：379417684@qq.com。

更新日期/Last Update: 2022-07-28