Biomass-Based Leaf Curvilinear Model for Rapeseed (Brassica napus L.)

被引:1
|
作者
Zhang, Wenyu [1 ]
Zhang, Weixin [1 ]
Ge, Daokuo [1 ]
Cao, Hongxin [1 ]
Liu, Yan [1 ]
Fu, Kunya [1 ]
Feng, Chunhuan [1 ]
Chen, Weitao [1 ]
Song, Chuwei [1 ]
机构
[1] Jiangsu Acad Agr Sci, Inst Agr Econ & Informat, Engn Res Ctr Digital Agr, Nanjing 210014, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Rapeseed (Brassica napus L.); Biomass; Leaf curve; Functional-structural plant models (FSPMs); ARCHITECTURE; SIMULATION; CANOPIES;
D O I
10.1007/978-3-319-48357-3_44
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Leaf is one of the most important photosynthetic organs of rapeseed (Brassica napus L.). To quantify relationships between the leaf curve and the corresponding leaf biomass for rapeseed on main stem, this paper presents a biomass-based leaf curvilinear model for rapeseed. Various model variables, including leaf length, bowstring length, tangential angle, and bowstring angle, were parameterized based on data derived from the field experiments with varieties, fertilizer, and transplanting densities during 2011 to 2012, and 2012 to 2013 growing seasons. And then we analysed the biological significance of curvilinear equation for straight leaves, constructed the straight leaf probabilistic model on main stem, quantified the relationship between leaf curvature and the corresponding leaf biomass, and constructed the leaf curvilinear model based on the assumption and verification of the curvilinear equation form for curving leaf. The probability of straight leaf can be quantified with piecewise function according to the different trend in the normalized leaf ranks ((0, 0.4], and (0.4, 1]). The leaf curvature decreased with the increasing of leaf biomass, and can be described with reciprocal function. The curve of straight leaf and the curving leaf can be simulated by linear equation and the quadratic function, respectively. Our models were validated with the independent dataset from the field experiment, and the results indicated that the model could effectively predict the straight leaf probability and leaf curvature, which would be useful for linking the rapeseed growth model with the rapeseed morphological model, and set the stage for the development of functional-structural rapeseed models.
引用
收藏
页码:459 / 472
页数:14
相关论文
共 50 条
  • [1] Biomass-based rapeseed (Brassica napus L.) stem and rachis geometric parameter model
    Zhang, Wenyu
    Liu, Yan
    Zhang, Weixin
    Chen, Weitao
    Cao, Hongxin
    Ge, Daokuo
    Feng, Chunhuan
    Song, Chuwei
    Ge, Sijun
    Liu, Yongxia
    2016 IEEE INTERNATIONAL CONFERENCE ON FUNCTIONAL-STRUCTURAL PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (FSPMA), 2016, : 233 - 241
  • [2] Biomass-Based Rapeseed (Brassica napus) Pod Morphological Model
    Zhang, Weixin
    Cao, Hongxin
    Zhang, Wenyu
    Liu, Yan
    Ge, Daokuo
    Feng, Chunhuan
    Chen, Weitao
    Song, Chuwei
    SijunGe
    Zhang, Qian
    Wan, Qian
    INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, 2018, 20 (05) : 1193 - 1200
  • [3] Biomass-based lateral root morphological parameter models for rapeseed (Brassica napus L.)
    Zhang, Wei-xin
    Wu, Qian
    Sun, Chuan-liang
    Ge, Dao-kuo
    Cao, Jing
    Liang, Wan-jie
    Yin, Ying-jun
    Li, Hong
    Cao, Hong-xin
    Zhang, Wen-yu
    Li, Bai-ming
    Xin, Yu-kai
    FOOD AND ENERGY SECURITY, 2024, 13 (01):
  • [4] An aboveground biomass partitioning coefficient model for rapeseed (Brassica napus L.)
    Zhang, Wenyu
    Cao, Hongxin
    Zhang, Weixin
    Hanan, Jim Scott
    Ge, Daokuo
    Cao, Jing
    Xia, Ji'an
    Xuan, Shouli
    Liang, Wanjie
    Zhang, Lingling
    Wu, Qian
    Sun, Chuanliang
    Shi, Chunlin
    Liu, Yan
    Chen, Yuli
    Han, Xujie
    Pan, Yue
    Tang, Puchuan
    Wu, Fei
    FIELD CROPS RESEARCH, 2020, 259
  • [5] Rapeseed (Brassica napus L.) Primary Ramification Morphological Structural Model Based on Biomass
    Zhang, Weixin
    Cao, Hongxin
    Zhang, Wenyu
    Liu, Yan
    Ge, Daokuo
    Feng, Chunhuan
    Chen, Weitao
    Song, Chuwei
    COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IX, CCTA 2015, PT I, 2016, 478 : 502 - 518
  • [6] Nitrogen Revising of Rapeseed (Brassica napus L.) Phenology and Leaf Number Models
    Cao, Hongxin
    Liu, Yan
    Zhang, Wenyu
    Zhu, Yeping
    Ge, Daokuo
    Yue, Yanbin
    Liu, Yongxia
    Sun, Jinying
    Zhang, Zhiyou
    Chen, Yuli
    Zhang, Weixin
    Fu, Kunya
    Liu, Na
    Feng, Chunhuan
    Yang, Taiming
    Computer and Computing Technologies in Agriculture VIII, 2015, 452 : 54 - 66
  • [7] Cluster analysis in rapeseed (Brassica napus L.)
    Mahasi, Mabel Jendeka
    Kamundia, John Waweru
    AFRICAN JOURNAL OF AGRICULTURAL RESEARCH, 2007, 2 (09): : 409 - 411
  • [8] Physical properties of rapeseed (Brassica napus oleifera L.)
    Çalisir, S
    Marakoglu, T
    Ögüt, H
    Öztürk, Ö
    JOURNAL OF FOOD ENGINEERING, 2005, 69 (01) : 61 - 66
  • [9] Electrohydrodynamic (EHD) drying of rapeseed (Brassica napus L.)
    Basiry, Mohsen
    Esehaghbeygi, Ali
    JOURNAL OF ELECTROSTATICS, 2010, 68 (04) : 360 - 363
  • [10] Genetic variation in leaf and stem glucosinolates in resynthesized lines of winter rapeseed (Brassica napus L.)
    Stijn Cleemput
    Heiko C. Becker
    Genetic Resources and Crop Evolution, 2012, 59 : 539 - 546