Scientia Agricultura Sinica ›› 2012, Vol. 45 ›› Issue (12): 2431-2437.doi: 10.3864/j.issn.0578-1752.2012.12.011

• HORTICULTURE • Previous Articles     Next Articles

Multiple Analysis of Relationship of Agronomic Traits and Yield Formation in Ginger  

 LI  Xiu, XU  Kun, GONG  Biao, CAO  Bi-Li, WANG  Zhong-Bin   

  1. 山东农业大学园艺科学与工程学院/作物生物学国家重点实验室/农业部黄淮地区园艺作物生物学与种质创制重点实验室， 山东泰安271018
  • Received:2011-12-23 Online:2012-06-15 Published:2012-04-27

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Abstract: 【Objective】 The purpose of this study was to provide academic evidence for germplasm evaluation and innovation of ginger, and identify the primary indexes of yield by investigating the variation of agronomic traits of ginger.【Method】The correlation, path analysis, principal components analysis and multiple linear regression analysis were conducted, whilst integrated the growth status of ginger, and applied critical-path analysis, to identify the primary indexes of ginger yield. 【Result】The results showed that the variation coefficient of agronomic traits of ginger reached 11.4%-51.3%, and the yield had a extremely significant correlation with stem diameter, stem FW, plant height, leaf FW and root FW, but a significant or extremely significant negative correlation with rhizome DM content and branch number. Plant height, stem diameter, root FW, stem FW and rhizome DM content were named as determinative morphological factors of high-yielding varieties, and branch number, leaf number and ginger bulb number were named as determinative morphological factors of low-yielding varieties. The determination coefficient of four factors selected by multiple linear regression analysis to ginger yield model was 0.8194.【Conclusion】The major determining factors of ginger yield were rhizome DM content, leaf FW, stem diameter and stem FW. The high yield varieties had thickest stem, fewer branch number, thicker leaf, developed assimilation system, and lower rhizome DM content.

Key words: ginger(Zingiber officinale Roscoe), agronomic traits, correlation analysis, path analysis, principal components analysis, regression analysis, determining factor of yield

[1]杨建昌, 朱庆森, 曹显祖. 水稻群体冠层结构与光和特性对产量形成作用的研究. 中国农业科学, 1992, 25(4):7-14.

Yang J C, Zhu Q S, Cao X Z. Effects of the structure and photosynthetic characters of the canopy on the yield formation in rice plants. Scientia Agricultura Sinica, 1992, 25(4):7-14. (in Chinese)

[2]Hsu P, Walton P D. Relationships between yield and its components and structures above the flag leaf node in spring wheat. Crop Science, 1970, 11(2):190-193.

[3]邓武明, 阳小虎, 文凤君, 陈胜荣, 赵昌斌. 甘蓝型油菜产量性状的遗传及相关与通径分析. 中国油料作物学报, 2003, 25(4):27-30.

Deng W M, Yang X H, Wen F J, Chen S R, Zhao C B. Inheritance mode, correlation and path analysis of yield traits in rape (Brassica napus L.). Chinese Journal of Oil Crop Sciences, 2003, 25(4):27-30. (in Chinese)

[4]宋  稀, 刘凤兰, 郑普英, 张学昆, 陆光远, 付桂萍, 程  勇. 高密度种植专用油菜重要农艺性状与产量的关系分析. 中国农业科学, 2010, 43(9): 1800-1806.

Song X, Liu F L, Zheng P Y, Zhang X K, Lu G Y, Fu G P, Cheng Y. Correlation analysis between agronomic traits and yield of Rapeseed (Brassica napus L.) for high-density planting. Scientia Agricultura Sinica, 2010, 43(9):1800-1806. (in Chinese)

[5]崔亚飞, 曹致中, 马乐元. 百脉根单株产量主要农艺性状的相关和通径分析. 甘肃农业大学学报, 2009, 44(4): 103-106.

Cui Y F, Cao Z Z, Ma L Y. Correlation and path analysis between main agronomic characters and per plant yield on Lotus corniculatus. Journal of Gansu Agricultural University, 2009, 44(4):103-106. (in Chinese)

[6]汪宝卿, 王庆美, 张海燕, 解备涛, 张立明. 北方甘薯农艺性状与产量的相关性及灰色关联度分析. 青岛农业大学学报: 自然科学版, 2010, 27(4):296-299.

Wang B Q, Wang W M, Zhang H Y, Xie B T, Zhang L M. Correlation and grey relation analysis between agronomic traits for yield of Sweetpotato (Ipomoea batatas L.) in regional trails of North China. Journal of Qingdao Agricultural University: Natural Science, 2010, 27(4):296-299. (in Chinese)

[7]王海明, 皇甫满喜, 蒲  瑞. 蒜苗主要农艺性状与产量的通径分析. 北方园艺, 1996(3):18-19.

Wang H M, Huangfu M X, Pu R. Path analysis on major agronomic traits and yield of garlic sprout. Northern Horticulture, 1996(3):18-19. (in Chinese)

[8]Ledent J F, Moss D M. Relation of morphological characters and shoot yield in wheat. Crop Science, 1977, 19(4): 445-451.

[9]庞胜群, 郑  群, 辛建华, 吉雪花, 李  新, 刘  颖. 加工番茄主要农艺性状与产量的相关及通径分析. 长江蔬菜: 学术版, 2010(22): 26-28.

Pang S Q, Zheng Q, Xin J H, Ji X H, Li X, Liu Y. Correlation and path analysis of the main agronomic characters and yield of processing tomato. Journal of Changjiang Vegetables: Academic Edition, 2010(22): 26-28. (in Chinese)

[10]Orf J H, Chase K, Adler F R, Mansur L M, Lark K G. Genetics of soybean agronomic traits: Ⅱ. Interactions between yield quantitative trait loci in soybean. Crop Science, 1998, 39(6):1652-1657.

[11]Guo M, Rupe M A, Yang X F, Crasta O, Zinselmeier C, Smith O S, Bowen B. Genome-wide transcript analysis of maize hybrids: allelic additive gene expression and yield heterosis. Theoretical and Applied Genetics, 2006, 113(5):831-845.

[12]黄中文, 赵团结, 喻德跃, 陈受宜, 盖钧镒. 大豆产量有关性状QTL的检测. 中国农业科学, 2009, 42(12):4155-4165.

Huang Z W, Zhao T J, Yu D Y, Chen S Y, Gai J Y. Detection of QTLs of yield related traits in soybean. Scientia Agricultura Sinica, 2009, 42(12):4155-4165.(in Chinese)

[13]Li J Z, Huang X Q, Heinrichs F, Ganal M W, Röder M S. Analysis of QTLs for yield components, agronomic traits, and disease resistance in an advanced backcross population of spring barley. Genome, 2006, 49(5):454-466.

[14]Stuber C W, Edwards M D, Wendel J F. Molecular marker-facilitated investigations of quantitative trait loci in maize. Ⅱ.factors influencing yield and its component traits. Crop Science, 1986, 27(4):639-648.

[15]Singh Y, Pankaj M. Variability studies in ginger (Zingiber officinale R.) under humid sub-temperate conditions. Crop Research(Hisar), 2003, 25(1):194-196.

[16]赵德婉, 徐  坤, 艾希珍, 郭衍银, 郑永强. 生姜高产栽培技术(第二次修订版). 北京: 金盾出版社, 2005.

Zhao D W, Xu K, Ai X Z, Guo Y Y, Zheng Y Q. High-yield Cultivation Techniques of Ginger(Second Revised Edition). Beijing: Jindun Press, 2005. (in Chinese)

[17]Kandiannan K, Parthasarathy U, Krishnamurthy K S, Thankamani C K, Svinivasan V. Modeling individual leaf area of ginger (Zingiber officinale Roscoe) using leaf length and width. Scientia Horticulturae, 2009, 120(4):532-537.

[18]唐启义. DPS数据处理系统-实验设计、统计分析及数据挖掘(第2版). 北京: 科学出版社, 2010.

Tang Q Y. DPS Data Processing System-Experimental Design, Statistical Analysis and Data Mining (Second Edition). Beijing: Science Press, 2010. (in Chinese)

[19]徐  坤, 赵德婉. 生姜农艺性状与产量的关系分析. 河北农业技术师范学院学报, 1994, 8(4):5-8.

Xu K, Zhao D W. Studies on path analysis of the factors of yield forming in ginger. Journal of Hebei Agrotechnical Teachers College, 1994, 8(4):5-8. (in Chinese)

[20]董桂春, 居  静, 李进前, 于小风, 田  昊, 张  彪, 周  娟, 王余龙. 不同穗型常规籼稻品种源库性状的差异. 中国农业科学, 2009, 42(12):4187-4196.

Dong G C, Ju J, Li J Q, Yu X F, Tian H, Zhang B, Zhou J, Wang Y L. Difference of source-sink components in conventional Indica rice cultivars with different panicle weight. Scientia Agricultura Sinica, 2009, 42(12):4187-4196. (in Chinese)

[21]杨建昌, 王志琴, 朱庆森. 水稻产量源库关系的研究. 江苏农学院学报, 1993, 14(3):47-53.

Yang J C, Wang Z Q, Zhu Q S. Studies on yield source and sink relationships in rice. Journal of Jiangsu Agricultural College, 1993, 14(3):47-53. (in Chinese)

[22]王雯玥, 韩清芳, 宗毓铮, 贾志宽, 聂俊峰, 闵安成, 马晓丽. 多叶型和三叶型紫花苜蓿产量与相关性状的回归分析. 中国农业科学, 2010, 43(14): 3044-3050.

Wang W Y, Hang Q F, Zong Y Z, Jia Z K, Nie J F, Min A C, Ma X L. Regression analysis on hay yield and relative characters of Multifoliolate alfalfa and Trifoliolate alfalfa. Scientia Agricultura Sinica, 2010, 43(14):3044-3050. (in Chinese)

[23]侯贤清, 贾志宽, 韩清芳, 王  维, 丁瑞霞, 聂俊峰, 李永平. 轮耕对宁南旱区冬小麦花后旗叶光合性能及产量的影响. 中国农业科学, 2011, 44(15):3108-3117.

Hou X Q, Jia Z K, Han Q F, Wang W, Ding R X, Nie J F, Li Y P. Effects of rotational tillage on flag leaf photosynthetic characteristics and yield after anthesis of winter wheat in Arid Areas of Southern Ningxia. Scientia Agricultura Sinica, 2011, 44(15):3108-3177. (in Chinese)

[24]曾建敏, 彭少兵, 崔克辉, 黄见良. 热带水稻光合特性及氮素光合效率的差异研究. 作物学报, 2006, 32(12):1817-1822.

Zeng J M, Peng S B, Cui K H, Huang J L. Genetic variation in photosynthetic characteristics and photosynthetic nitrogen use efficiency in tropical rice. Acta Agronomic Sinica, 2006, 32(12):1817-1822. (in Chinese)

[25]李伶俐, 马宗斌, 张东林, 杜远仿, 房卫平, 谢得意. 盛花期补施钾肥对不同群体棉花光合特性和产量品质的影响. 植物营养与肥料学报, 2006, 12(5): 662-666.

Li L L, Ma Z B, Zhang D L, Du Y F, Fang W P, Xie D Y. Effects of applying potassium fertilizer at peak bolling stage on cottonphotosynthetic characteristics and its yield and quality under different population. Plant Nutrition and Fertilizer Science, 2006, 12(5): 662-666. (in Chinese)

[26]马  均, 马文波, 明东风, 杨世民, 朱庆森. 重穗型水稻株型特性研究. 中国农业科学, 2006, 39(4):679-685.

Ma J, Ma W B, Ming D F, Yang S M, Zhu Q S. Studies on the characteristics of rice plant with heavy panicle. Scientia Agricultura Sinica, 2006, 39(4):679-685. (in Chinese)
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