Modelling of seed yield and its components in tall fescue (Festuca arundinacea) based on a large sample

文献类型： 外文期刊

第一作者： Wang, Quanzhen

作者： Wang, Quanzhen;Hu, Tianming;Cui, Jian;Wang, Xianguo;Zhou, He;Han, Jianguo;Zhang, Tiejun

作者机构：

关键词： Modelling;seed yield;components;tall fescue;path and ridge analyses;large sample

期刊名称：AFRICAN JOURNAL OF BIOTECHNOLOGY （ 影响因子：0.573； 五年影响因子：0.794 ）

ISSN： 1684-5315

年卷期： 2011 年 10 卷 59 期

页码：

收录情况： SCI

摘要： Tall fescue (Festuca arundinacea Schreb.) is a primary cool-season grass species that is widely used as a cold-season forage and turfgrass throughout the temperate regions of the world. The key seed yield components, namely fertile tillers m (-2) (Y-1), spikelets fertile tiller (-1) (Y-2), florets spikelet (-1) (Y-3), seed number spikelet (-1) (Y-4), seed weight (Y-5), and the seed yield (Z) of tall fescue were determined in field experiments from 2003 to 2005. The experiments produced a large sample for analysis. The correlations among Y-1 to Y-5 and their direct and indirect effects on Z were investigated. All of the direct effects of the Y-1, Y-3, Y-4 and Y-5 components on the seed yield were significantly positive. However, the effect of Y-2 was not significant. In decreasing order, the contributions of the five components to seed yield are Y-1 > Y-4 > Y-3 > Y-5 > Y-2. Y-4 and Y-5 were not significantly correlated with Z. However, the components Y-1, Y-2 and Y-3 were positively correlated with Z in all the three experimental years and the intercorrelations among the components Y-1, Y-2 and Y-3 were significant. Ridge regression analysis was used to derive a steady algorithmic model that related Z to the five components; Y-1 to Y-5. This model can estimate Z precisely from the values of these components. Furthermore, an approach based on the exponents of the algorithmic model could be applied to the selection for high seed yield via direct selection for large Y-2, Y-3 and Y-5 values in a breeding program for tall fescue.

分类号：

  • 相关文献

[1]Enhanced Purification of Eutrophic Water by Microbe-Inoculated Stereo Floating Beds. Zhao, Fengliang,Zhang, Songda,Ding, Zheli,Aziz, Rukhsanda,Rafiq, Muhammad Tariq,Li, Hong,Yang, Xiaoe,Zhao, Fengliang,Zhang, Songda,He, Zhenli,Stoffella, Peter J.. 2013

[2]Introducing bar gene into Festuca arundinacea ev. Houndog 5 via pollen-tube pathway. Zong, Junqin,Liu, Jianxiu,Huang, Junqi. 2008

[3]HIGH LEVELS OF ERGONOVINE AND LYSERGIC ACID AMIDE IN TOXIC ACHNATHERUM INEBRIANS ACCOMPANY INFECTION BY AN ACREMONIUM-LIKE ENDOPHYTIC FUNGUS. Miles, CO,Lane, GA,diMenna, ME,Garthwaite, I,Piper, EL,Ball, OJP,Latch, GCM,Allen, JM,Hunt, MB,Bush, LP,Min, FK,Fletcher, I,Harris, PS.

[4]Effects of planting system, plant density and flower removal on yield and quality of hybrid seed in cotton. Dong, HZ,Zhang, DM,Tang, W,Li, WJ,Li, ZH. 2005

[5]Components of soil respiration and its monthly dynamics in rubber plantation ecosystems. Wu, Zhixiang,Xie, Guishui,Zhou, Zhaode,Wu, Zhixiang,Guan, Limin,Chen, Bangqian,Yang, Chuan,Lan, Guoyu,Xie, Guishui. 2013

[6]A model for photothermal responses of flowering in rice .1. Model description and parameterization. Yin, XY,Kropff, MJ,Horie, T,Nakagawa, H,Centeno, HGS,Zhu, DF,Goudriaan, J. 1997

[7]Soil organic carbon sequestration under different fertilizer regimes in north and northeast China: RothC simulation. Wang, J.,Lu, C.,Xu, M.,Zhang, W.,Zhu, P.,Peng, C.,Huang, S.,Chen, X.,Wu, L.. 2013

[8]Physiological response of soybean genotypes to plant density. Gan, Y,Stulen, I,van Keulen, H,Kuiper, PJC. 2002

[9]POTENTIAL OF PLANT GROWTH REGULATOR AND CHLORMEQUAT CHLORIDE ON ALFALFA SEED COMPONENTS. Chen, Ji-Shan,Zhu, Rui-Fen,Lin, Hong,Han, Weibo,Ma, Li-Gong. 2016

[10]Quantitative trait locus analysis of drought tolerance and yield in maize in China. Xiao, YN,Li, XH,George, ML,Li, MS,Zhang, SH,Zheng, YL.

[11]Algorithmic models of seed yield and its components in smooth bromegrass (Bromus inermis L.) via large sample size under field conditions. Wang, Quanzhen,Hu, Tianming,Cui, Jian,Wang, Xianguo,Zhou, He,Han, Jianguo,Zhang, Tiejun.

[12]Simulation of water and nitrogen dynamics as affected by drip fertigation strategies. Zhang Jian-jun,Zhao Bing-qiang,Li Yan-ting,Li Jiu-sheng. 2015

[13]Genome-Wide Identification of QTL for Seed Yield and Yield-Related Traits and Construction of a High-Density Consensus Map for QTL Comparison in Brassica napus. Zhao, Weiguo,Wang, Hao,Tian, Jianhua,Li, Baojun,Zhao, Weiguo,Wang, Hao,Chen, Li,Chao, Hongbo,Li, Maoteng,Wang, Xiaodong,Long, Yan,Xiang, Jun,Gan, Jianping,Li, Maoteng,Liang, Wusheng. 2016

[14]Microbial growth kinetics models of raw milk in storage and transportation. Hou, Liwei,Xing, Shaohua,Wang, Yong. 2013

[15]Climate Change Modelling and Its Roles to Chinese Crops Yield. Ju Hui,Lin Er-da,Jiang Shuai,Ju Hui,Lin Er-da,Wheeer, Tim,Challinor, Andrew. 2013

[16]Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach. Wan, Liqiang,Li, Xianglin,Zhang, Baisen,Kemp, Peter. 2009

[17]Proteomics analysis of major royal jelly protein changes under different storage conditions. Zhang, Zhao-hui,Pan, Ying-hong,Li, Jian-ke,Feng, Mao,Zhang, Lan.

[18]Frequency, depth and rate of phosphorus fertilizer application effects on alfalfa seed yields. Zhang, Tiejun,Kang, Junmei,Guo, Wenshan,Yang, Qingchuan,Zhao, Zhongxiang. 2014

[19]Modelling impact of agro-drought on grain production in China. Qin, Zhihao,Tang, Huajun,Li, Wenjuan,Qin, Zhihao,Zhao, Shuhe,Zhang, Hao,Wang, Qiang. 2014

[20]Structure and components of the globular and filamentous viroplasms induced by Rice black-streaked dwarf virus. Xie, Li,Lv, Ming-fang,Song, Xi-Jiao,Yang, Jian,Li, Jing,Sun, Zong-Tao,Chen, Jian-Ping,Zhang, Heng-Mu,Lv, Ming-fang,Chen, Jian-Ping,Zhang, Ying-Yi. 2017

作者其他论文 更多>>

微信小程序