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Acta Agron Sin ›› 2013, Vol. 39 ›› Issue (04): 632-641.doi: 10.3724/SP.J.1006.2013.00632

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Stability and Importance of Morphological Characteristics in Example Varieties Based on DUS Test

TANG Hao1,2,LIU Hong3,YU Han-Yong4,ZHANG Zhe-Feng5,XIAO Ying-Hui1,YANG Yi-Shan6,CHEN Li-Yun1   

  1. 1 Hunan Agricultural University, Changsha 410128, China; 2 Development Center for Science & Technology of Ministry of Agriculture, Beijing 100122, China; 3 South China Agricultural University, Guangzhou 510642, China; 4 China National Rice Research Institute, Hangzhou 310006, China; 5 Sichuan Academy of Agricultural Sciences, Chengdu 610066, China; 6 Hunan Hybrid Rice Research Center, Changsha 410125, China
  • Received:2012-10-22 Revised:2012-12-11 Online:2013-04-12 Published:2013-01-28

Abstract:

In order to further improve the accuracy of distinctness, uniformity and stability (ab. DUS) test of rice varieties, the AMMI model was used to analyse the stability and Random Forest algorithm was used to evalue the importance for 50 charcacteristics of 49 rice example varieties listed in DUS test guideline. The results showed that stability is largely different amony different characteristics, and visual characteristics are highly stable for main qualitive characteristics and pseudo-qualitive characteristics, and measurement characteristics had low stability for quantitative characteristics . On the whole, the importance parameter difference was very big among different characteristics, which is larger for measurement characteristics, and relatively smaller for visual characteristics. Some characteristics with low stability and low importance could be excluded from DUS guideline, for example “panicle: exsertion”, “panicle: type”, “panicle: attitude”, “Spikelet: pubescence of lemma”, “leaf: pubescence”, while those with low stability, but very important in practice, for example “time of maturity” and “time of heading” could be only in the location of applicants tested to avoid misjustice and use example varieties for correction.

Key words: Rice, DUS test, Visual observation, Measurement observation, Stability, Importance

[1]The State Council of the People’s Republic of China (中华人民共和国国务院). Regulations of the People’s Republic of China on the Protection of New Varieties of Plants (中华人民共和国植物新品种保护条例). Beijing: China Agriculture Press, 1997 (in Chinese)



[2]Department of Agriculture of the People's Republic of China (中华人民共和国农业部). Distictness, Uniformity, and Stability Test Guidline of Plant New Varieties–Rice (植物新品种DUS测试指南——水稻). Beijing: China Agriculture Press, 2007 (in Chinese)



[3]Hu B-M(胡秉民), Gong X(耿旭). Crop Stability Analysis Method (作物稳定性分析法). Beijing: Science Press, 1993 (in Chinese)



[4]Liu W-J(刘文江), Li H-J(李浩杰), Wang X-D(汪旭东), Zhou K-D(周开达). Stability analysis for elementary characters of hybrid rice by AMMI model. Acta Agron Sin (作物学报), 2002, 28(4): 569–573 (in Chinese with English abstract)



[5]Kempton R A. The use of biplots in interpreting variety by environment interactions. J Agric Sci, 1984, 103: 123–135



[6]Nachit M M. Use of AMMI and linear regression models to analyze genotype environment interaction in durum wheat. Theor Appl Genet, 1992, 83: 597–601



[7]Cooper M. Concepts and strategies for plant adaptation research in rainfed lowland rice. Field Crops Res, 1999, 64: 13–34



[8]Wang L(王磊), Yang S-H(杨仕华), Shen X-H(沈希宏), Xie F-X(谢芙贤). Additive main effects and multiplicative interaction model (AMMI) graphs used in the plant variety trial data analysis. J Nanjing Agric Univ (南京农业大学学报), 1998, 21(2): 18–23 (in Chinese with English abstract)



[9]Xu N-Y(许乃银), Chen X-S(陈旭升), Guo Z-G(郭志刚), Zhang J-Y(张坚勇), Xiao S-H(肖松华), Di J-C(狄佳春), Liu J-G(刘剑光). Application of AMMI model to analyze cotton regional trial data. Jiangsu J Agric Sci (江苏农业学报), 2001, 17(4): 205–210 (in Chinese with English abstract)



[10]Jiang K-F(蒋开锋), Zheng J-K(郑家奎), Zhao G-L(赵甘霖), Zhu Y-C(朱永川), Wan X-Q(万先齐), Ding G-X(丁国祥). Stability of grain yield characteristics and their correlation in hybrid rice. Chin J Rice Sci (中国水稻科学), 2001, 15(1): 67–69 (in Chinese with English abstract)



[11]Zhang S-M(张斯梅), Yang S-J(杨四军), Gu K-J(顾克军), Zhang H-G(张恒敢), Xu B(许博), Chen J(陈涓). Analysis of yield characteristics and stability in wheat regional trials. Chin Agric Sci Bull (中国农学通报), 2012, 28(3): 172–176 (in Chinese with English abstract)



[12]Yu Q-Y(俞琦英), Zhao W-M(赵伟明). Analysis of yield characters and its stability in rape regional trial of Zhejiang Province. Acta Agric Zhejiangensis (浙江农业学报), 2010, 22(3): 337–340 (in Chinese with English abstract)



[13]Liu X(刘鑫), Shi J-Y(石建尧), Wang M-H(王明湖). Analysis on correlation and stability in rice quality of early rice varieties tested in Zhejiang Provincial Regional Tests. Acta Agric Jiangxi (江西农业学报), 2010, 22(6): 47–48 (in Chinese with English abstract)



[14]Jiang K-F(蒋开锋), Zheng J-K(郑家奎), Zhao G-L(赵甘霖), Zhu Y-C(朱永川), Wan X-Q(万先齐). Analysis of combining ability based on AMMI model. Acta Agron Sin (作物学报), 2000, 26(6): 959–962 (in Chinese with English abstract)



[15]Wan X-Y(万向元), Hu P-S(胡培松), Wang H-L(王海莲), Kong L-N(孔令娜), Bi J-C(毕京翠), Chen L-M(陈亮明), Zhang J-Y(张坚勇), Zhai H-Q(翟虎渠), Wan J-M(万建民). Analysis on stability of AC, GT and PC in rice varieties (Orzya sativa L.). Sci Agric Sin (中国农业科学), 2005, 38(1): 1–6 (in Chinese with English abstract)



[16]Wan X-Y(万向元), Chen L-M(陈亮明), Wang H-L(王海莲), Xiao Y-H(肖应辉), Bi J-C(毕京翠), Liu X(刘喜), Zhai H-Q(翟虎渠), Wan J-M(万建民). Stability analysis for the RVA profile properties of rice starch. Acta Agron Sin (作物学报), 2004, 30(12): 1185–1191 (in Chinese with English abstract)



[17]Zhang J-Y(张坚勇), Wan X-Y(万向元), Xiao Y-H(肖应辉), Wang C-M(王春明), Liu S-J(刘世家), Chen L-M(陈亮明), Zhai H-Q(翟虎渠), Wan J-M(万建民). Analysis on stability of eating quality of cooked rice (Orzya sativa L.). Sci Agric Sin (中国农业科学), 2004, 37(6): 788–794 (in Chinese with English abstract)



[18]Zhang J-Y(张坚勇), Xiao Y-H(肖应辉), Wan X-Y(万向元), Liu S-J(刘世家), Wang C-M(王春明), Chen L-M(陈亮明), Kong L-N(孔令娜), Zhai H-Q(翟虎渠), Wan J-M(万建民). Stability analysis for appearance qualities of rice cultivar. Acta Agron Sin (作物学报), 2004, 30(6): 548–554 (in Chinese with English abstract)



[19]Breiman L. Random forests. Machine Learn, 2001, 45: 5–32



[20]Zhao T-T-G(赵铜铁钢), Yang D-W(杨大文), Cai X-M(蔡喜明), Cao Y(曹勇). Predict seasonal low flows in the upper Yangtze River using random forests model. J Hydroelect Eng (水力发电学报), 2012, (3): 18–24 (in Chinese with English abstract)



[21]Ma X(马昕), Guo J(郭静), Sun X(孙啸). Prediction of RNA-binding residues in proteins using random forest. J Southeast Univ (Nat Sci Edn)(东南大学学报?自然科学版), 2012, 42(1): 50–54 (in Chinese with English abstract)



[22]Guo Y-J (郭颖婕), Liu X-Y(刘晓燕), Guo M-Z(郭茂祖), Zou Q(邹权). Identification of plant resistance gene with random forest. J Front Comput Sci Technol (计算机科学与探索), 2012, 6(1): 67–77 (in Chinese with English abstract)



[23]Li J-G(李建更), Gao Z-K(高志坤). Random Forests: an important feature genes selection method of tumor. Acta Biophys Sin (生物物理学报), 2009, 25(1): 51–56 (in Chinese with English abstract)



[24]Peng G-L(彭国兰), Lin C-D(林成德). A model based on random forests for enterprises credit assessment. J Fuzhou Univ (Nat Sci Edn) (福州大学学报?自然科学版), 2008, (suppl-1): 153–156 (in Chinese with English abstract)



[25]Li J-G(李建更), Gao Z-K(高志坤), Ruan X-G(阮晓钢). Random forests-based gene pathway analysis of gastric cancer microarray data. J Biol (生物学杂志), 2010, (2): 1–4 (in Chinese with English abstract)



[26]SAS Institute Inc. SAS/STAT User’s Guide, Cary, NC, USA, 1988



[27]Tang Q Y, Zhang C X. Data Processing System (DPS) software with experimental design, statistical analysis and data mining developed for use in entomological research. Insect Sci, 2012. DOI: 10. 1111/j.1744-7917.2012. 01519.x

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