The Comparative Analysis of Spatial Structure of Ji Wheat 22 Yield Based on Different Stochastic Samplings

文献类型: 外文期刊

第一作者: Yang, Yujian

作者: Yang, Yujian;Tong, Xueqin

作者机构:

关键词: Ji wheat 22;Thiessen polygon;Autocorrelation;IDW;Yield

期刊名称:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT II

ISSN: 1868-4238

年卷期: 2012 年 369 卷

页码:

收录情况: SCI

摘要: The spatial variation of crop yield was mainly caused by the complicated factors, such as soil and land factors. Based on sound theoretical reasoning, the paper performed an exploratory investigation of the relationship between the spatial distribution of yield measurement about 849 samplings on Thiessen polygon. Reasonable sample size or sampling density is an assurance of yield estimation surface. To investigate the spatial structure of Ji wheat 22 yield, we developed the comparison analysis of surface interpolation precision by stochastic samplings of 568, 425, 212 and 144 from a total of 849 samplings in zoning area, the other emphasis of the study was explored the influence of the distribution change of yield with the threshold of samplings numbers for the higher estimation precision. We first detected the presence of global spatial autocorrelation characteristics about the distribution of the Thiessen polygon region generated yield measurement samplings, then with the support of IDW interpolation, the higher precision surface was analyzed and obtained by the comparison of 5 samplings mode. High yield Thiessen polygon region of Ji wheat 22 tended to be clustered close to the high yield polygon region, the low yield Thiessen polygon region tended to be clustered close to the low yield polygon region. It is important to estimate the yield distribution for sampling density, samplings method, interpolation methods and sample size, we suggested that a suitable sample size of about 200 samplings should be used for Ji wheat 22 yield developed from the sampling zoning to acquire the higher surface estimation precision, beyond or the samplings number, the estimation precision presented the fluctuation characteristics.

分类号:

  • 相关文献

[1]Preliminary studies on occurrence of middle-season rice high temperature damage in Southwest China in past 50 years. Wang Yan,Fan Li,He Yongkun. 2015

[2]A simplified pruning method for profitable cotton production in the Yellow River valley of China. Dai, Jianlong,Luo, Zhen,Li, Weijiang,Tang, Wei,Zhang, Dongmei,Lu, Hequan,Li, Zhenhuai,Xin, Chengsong,Kong, Xiangqiang,Eneji, A. Egrinya,Dong, Hezhong.

[3]The optimal leaf area index for cucumber photosynthesis and production in plastic greenhouse. Xiaolei, S,Zhifeng, W. 2004

[4]Effects of Soil Salinity and Plant Density on Yield and Leaf Senescence of Field-Grown Cotton. Zhang, H. J.,Dong, H. Z.,Li, W. J.,Zhang, D. M.,Zhang, H. J.. 2012

[5]Heterosis in yield, endotoxin expression and some physiological parameters in Bt transgenic cotton. Dong, H. Z.,Li, W. J.,Tang, W.,Li, Z. H.,Zhang, D. M.. 2007

[6]Effect of Chemical Fertilizer Dose on Yield, Quality and Nutrient Utilization Rate of Sweet Pepper in Organic Substrate. Lv Xiao-Hui,Yang Ning,Wang Ke-An. 2013

[7]Yield, quality and leaf senescence of cotton grown at varying planting dates and plant densities in the Yellow River Valley of China. Dong, HZ,Li, WJ,Tang, W,Li, ZH,Zhang, DM,Niu, YH. 2006

[8]Effects of plant density and nitrogen and potassium fertilization on cotton yield and uptake of major nutrients in two fields with varying fertility. Dong, Hezhong,Kong, Xiangqiang,Li, Weijiang,Tang, Wei,Zhang, Dongmei. 2010

[9]18-year grass hedge effect on soil water loss and soil productivity on sloping cropland. Yao, Li,Lin, ChaoWen,Wang, Xie,Xu, WenZhi,Wang, Hong,Liu, HaiTao. 2018

[10]Overexpression of an Apocynum venetum DEAD-Box Helicase Gene (AvDH1) in Cotton Confers Salinity Tolerance and Increases Yield in a Saline Field. Jie Chen,Sibao Wan,Huaihua Liu,Shuli Fan,Yujuan Zhang,Wei Wang,Minxuan Xia,Rui Yuan,Fenni Deng,Fafu Shen. 2016

[11]INTERCROPPING DIFFERENT VARIETIES OF RADISH CAN INCREASE CADMIUM ACCUMULATION IN RADISH. Liao, Ming'an,Mei, Luoyin,Liu, Qihua,Shi, Jun,Sun, Jinlong.

[12]Spatial distribution of light interception by different plant population densities and its relationship with yield. Huiyun Xue,Yingchun Han,Yabing Li,Guoping Wang,Lu Feng,Zhengyi Fan,Wenli Du,Beifang Yang,Cougui Cao,Shuchun Mao.

[13]Characterization of high-yield performance as affected by genotype and environment in rice. Chen, Song,Zeng, Fang-rong,Zhang, Guo-ping,Pao, Zong-zhi. 2008

[14]Yield Evaluation of Twenty-Eight Alfalfa Cultivars in Hebei Province of China. Zhang Tie-jun,Kang Jun-mei,Guo Wen-shan,Yang Qing-chuan,Zhao Zhong-xiang,Xu Yu-peng,Yan Xu-dong. 2014

[15]Dissection of component QTL expression in yield formation in rice. Guo, LB,Xing, YZ,Mei, HW,Xu, CG,Shi, CH,Wu, P,Luo, LJ. 2005

[16]Association of yield-related traits in founder genotypes and derivatives of common wheat (Triticum aestivum L.). Guo, Jie,Shi, Weiping,Zhang, Zheng,Sun, Daizhen,Yu, Jin,Li, Xinlei,Guo, Pingyi,Hao, Chenyang,Cheng, Jingye. 2018

[17]An Evaluation of Minimum Tillage in the Corn-wheat Cropping System in Hebei Province, China: Wheat productivity and water conservation. Yang, Xiaomei,Yin, Changbin,Li, Guichun,Chien, Hsiaoping,Nagumo, Fujio. 2016

[18]Analysis of the decrease of center pivot sprinkling system uniformity and its impact on maize yield. Li Lianhao,Li Lianhao,Zhang Xinyue,Qiao Xiaodong,Liu Guiming. 2016

[19]Shading during the grain filling period increases 2-acetyl-1-pyrroline content in fragrant rice. Mo, Zhaowen,Pan, Shenggang,Xiao, Feng,Tang, Yongjian,Wang, Yilei,Duan, Meiyang,Tian, Hua,Tang, Xiangru,Mo, Zhaowen,Pan, Shenggang,Duan, Meiyang,Tian, Hua,Tang, Xiangru,Li, Wu,Fitzgerald, Timothy L.. 2015

[20]Carbon footprint assessment for irrigated and rainfed maize (Zea mays L.) production on the Loess Plateau of China. Zhang, Wushuai,He, Xiaoming,Zhang, Wei,Liu, Dunyi,Zou, Chunqin,Chen, Xinping,Zhang, Zhongdong,Gong, Shuai,Zhang, Qiang. 2018

作者其他论文 更多>>