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基于有效积温的谷子生长模型构建 被引量:1

The construction of millet growth model based on effective accumulated temperature
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摘要 在谷子(Setaria italica Beauv.)生长的各个时期拔取3株与挂牌植株长势一致的谷子进行各器官形态和生物量参数测量,基于有效积温,结合Logistic模型,构建谷子株高、地上部干物质量、叶面积随有效积温变化的生长模型。结果显示,当有效积温在700~900℃时,谷子处于拔节至孕穗期,株高的增长速率最快;当有效积温在1100~1200℃时,谷子处于拔节至灌浆期,地上部干物质量的增长速率最快;当有效积温在600~800℃时,谷子处于拔节至抽穗期,叶面积增长的速率最快,当有效积温在1000~1100℃时,谷子的叶面积达到最大;3个模型的R2分别为0.9891、0.9636、0.9649,经检验表明模型精度较高,显著性较好。基于有效积温的谷子生长模型构建可较好地预测谷子的株高、地上部干物质量、叶面积的生长变化。 Three millet(Setaria italica Beauv.)plants with the same growth potential of listed plants were selected at each stage of millet growth for the measurement of morphological and biomass parameters of each organ.Based on effective accumulated temperature and Logistic model,the growth model of millet plant height,dry matter mass of overground and leaf area varying with effective accumulated temperature was constructed.The results showed that when the effective accumulated temperature was 700~900℃,the millet was in the jointing to booting stage,and the growth rate plant height was the fastest;when the effective accumulated temperature was 1100~1200℃,the millet was in the heading to filling stage,and the growth rate dry matter weight of the ground was the fastest.When the effective accumulated temperature was 600~800℃,the millet was in the jointing to heading stage,and the leaf area growth rate was the fastest.When the effective accumulated temperature was 1000~1100℃,the value of the millet leaf area reached the maximum.R2 values of three modes were 0.9891,0.9636,0.9649,the test showed that the models had higher accuracy and better significance.The establishment of a millet growth model based on the effective accumulated temperature can better predict the growth changes of millet height,dry matter above the ground,and leaf area.
作者 杨凡 张吴平 郑小南 刘宇平 梁靓 李富忠 YANG Fan;ZHANG Wu-ping;ZHENG Xiao-nan;LIU Yu-ping;LIANG Liang;LI Fu-zhong(College of Software,Shanxi Agricultural University,Taigu 030801,Shanxi,China)
出处 《湖北农业科学》 2021年第5期18-20,24,共4页 Hubei Agricultural Sciences
基金 山西省重点研发计划重点项目(201703D211002-2) 农业大数据创新平台项目(K481811076) 中小企业大数据平台开发项目(K4810902)。
关键词 谷子(Setaria italica Beauv.) 有效积温 LOGISTIC模型 超绿分割 millet(Setaria italica Beauv.) effective accumulated temperature Logistic models extra-green segmentation
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