[1]吕小波,严定春,朱练峰,等.不同类型水稻植株形态的模拟[J].江苏农业学报,2016,(01):9-15.[doi:10.3969/j.issn.1000-4440.2016.01.002 ]
　Lv Xiao-bo,YAN Ding-chun,ZHU Lian-feng,et al.Simulation of plant morphology of different rice cultivars[J].,2016,(01):9-15.[doi:10.3969/j.issn.1000-4440.2016.01.002 ]
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不同类型水稻植株形态的模拟()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2016年01期
页码:
9-15
栏目:
遗传育种·生理生化
出版日期:
2016-01-08

文章信息/Info

Title:
Simulation of plant morphology of different rice cultivars
作者:
吕小波1; 严定春1; 朱练峰2; 金千瑜2
（1.中国农业科学院农业信息研究所/农业部农业信息服务技术重点实验室，北京100081；2.中国水稻研究所，浙江杭州310006）
Author(s):
Lv Xiao-bo1; YAN Ding-chun1; ZHU Lian-feng2; JIN Qian-yu2
（1.Agricultural Information Institute of Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing 100081, China;2.China National Rice Research Institute, Hangzhou 310006, China）
关键词:
水稻; 形态指标; 土壤水分含量; 动态模拟模型
Keywords:
rice; morphological character; water content in soil; dynamic simulation model
分类号:
S126
DOI:
10.3969/j.issn.1000-4440.2016.01.002
文献标志码:
A
摘要:
在3个不同土壤水分含量下，以中浙优1号、甬优9号、中旱221以及中旱3号4个不同类型的水稻品种为试验材料，定量描述了水稻叶龄、叶长、叶宽、节间长度、节间粗和株高随生育进程和环境条件的变化规律，构建了基于生长过程的水稻形态指标变化动态模拟模型，并利用水稻田间试验资料对所建模型进行了测试和检验。结果显示，水稻叶龄、前半段节位最大叶长、后半段节位最大叶长、最大叶宽、节间长度、节间粗和株高的均方根误差(RMSE)分别为0.553、5.694 cm、6.136 cm、0.301 cm、2.353 cm、0.328 mm、8.489 cm。表明所构建的模型对水稻植株形态指标具有较好的预测性。
Abstract:
To develop the dynamic simulation models of morphological character based on growth process in rice, the field experiments with 3 soil water contents were carried out on 4 rice cultivars, Zhongzheyou 1, Yongyou 9, Zhonghan 221, and Zhonghan 3, and the growth and development of rice leaf age, leaf length, leaf width, internode length, internode width, and plant height were analyzed. The models were validated with independent field experiment data. The root mean square errors (RMSEs) of leaf age, max leaf length (node≤11), leaf length (node≥12), max leaf width, internode length, internode width and plant height were 0.553, 5.694 cm, 6.136 cm, 0.301 cm, 2.353 cm, 0.328 mm, 8.489 cm, indicating that these models had good performance in predicting the rice plant morphological character.

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备注/Memo

备注/Memo:
收稿日期：2015-04-03 基金项目：国家自然科学基金项目（31101084、31270035）；教育部留学回国人员启动基金项目[教外司留(2011)1139号]、中国农业科学院科技创新工程基金项目（CAAS-ASTIP-2015-AII） 作者简介：吕小波（1989-），女，甘肃天水人，硕士研究生，研究方向为农业信息技术。（Tel）13301370884 通讯作者：严定春，（Tel）010-82109660；（E-mail）yandingchun@caas.cn
更新日期/Last Update: 2017-05-08