作物学报 ›› 2013, Vol. 39 ›› Issue (04): 632-641.doi: 10.3724/SP.J.1006.2013.00632
唐浩1,2,刘洪3,余汉勇4,张浙峰5,肖应辉1,杨益善6,陈立云1
TANG Hao1,2,LIU Hong3,YU Han-Yong4,ZHANG Zhe-Feng5,XIAO Ying-Hui1,YANG Yi-Shan6,CHEN Li-Yun1
摘要:
[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 |
[1] | 田甜, 陈丽娟, 何华勤. 基于Meta-QTL和RNA-seq的整合分析挖掘水稻抗稻瘟病候选基因[J]. 作物学报, 2022, 48(6): 1372-1388. |
[2] | 郑崇珂, 周冠华, 牛淑琳, 和亚男, 孙伟, 谢先芝. 水稻早衰突变体esl-H5的表型鉴定与基因定位[J]. 作物学报, 2022, 48(6): 1389-1400. |
[3] | 周文期, 强晓霞, 王森, 江静雯, 卫万荣. 水稻OsLPL2/PIR基因抗旱耐盐机制研究[J]. 作物学报, 2022, 48(6): 1401-1415. |
[4] | 郑小龙, 周菁清, 白杨, 邵雅芳, 章林平, 胡培松, 魏祥进. 粳稻不同穗部籽粒的淀粉与垩白品质差异及分子机制[J]. 作物学报, 2022, 48(6): 1425-1436. |
[5] | 颜佳倩, 顾逸彪, 薛张逸, 周天阳, 葛芊芊, 张耗, 刘立军, 王志琴, 顾骏飞, 杨建昌, 周振玲, 徐大勇. 耐盐性不同水稻品种对盐胁迫的响应差异及其机制[J]. 作物学报, 2022, 48(6): 1463-1475. |
[6] | 杨建昌, 李超卿, 江贻. 稻米氨基酸含量和组分及其调控[J]. 作物学报, 2022, 48(5): 1037-1050. |
[7] | 杨德卫, 王勋, 郑星星, 项信权, 崔海涛, 李生平, 唐定中. OsSAMS1在水稻稻瘟病抗性中的功能研究[J]. 作物学报, 2022, 48(5): 1119-1128. |
[8] | 朱峥, 王田幸子, 陈悦, 刘玉晴, 燕高伟, 徐珊, 马金姣, 窦世娟, 李莉云, 刘国振. 水稻转录因子WRKY68在Xa21介导的抗白叶枯病反应中发挥正调控作用[J]. 作物学报, 2022, 48(5): 1129-1140. |
[9] | 王小雷, 李炜星, 欧阳林娟, 徐杰, 陈小荣, 边建民, 胡丽芳, 彭小松, 贺晓鹏, 傅军如, 周大虎, 贺浩华, 孙晓棠, 朱昌兰. 基于染色体片段置换系群体检测水稻株型性状QTL[J]. 作物学报, 2022, 48(5): 1141-1151. |
[10] | 肖健, 陈思宇, 孙妍, 杨尚东, 谭宏伟. 不同施肥水平下甘蔗植株根系内生细菌群落结构特征[J]. 作物学报, 2022, 48(5): 1222-1234. |
[11] | 王泽, 周钦阳, 刘聪, 穆悦, 郭威, 丁艳锋, 二宫正士. 基于无人机和地面图像的田间水稻冠层参数估测与评价[J]. 作物学报, 2022, 48(5): 1248-1261. |
[12] | 陈悦, 孙明哲, 贾博为, 冷月, 孙晓丽. 水稻AP2/ERF转录因子参与逆境胁迫应答的分子机制研究进展[J]. 作物学报, 2022, 48(4): 781-790. |
[13] | 王吕, 崔月贞, 吴玉红, 郝兴顺, 张春辉, 王俊义, 刘怡欣, 李小刚, 秦宇航. 绿肥稻秆协同还田下氮肥减量的增产和培肥短期效应[J]. 作物学报, 2022, 48(4): 952-961. |
[14] | 巫燕飞, 胡琴, 周棋, 杜雪竹, 盛锋. 水稻延伸因子复合体家族基因鉴定及非生物胁迫诱导表达模式分析[J]. 作物学报, 2022, 48(3): 644-655. |
[15] | 陈云, 李思宇, 朱安, 刘昆, 张亚军, 张耗, 顾骏飞, 张伟杨, 刘立军, 杨建昌. 播种量和穗肥施氮量对优质食味直播水稻产量和品质的影响[J]. 作物学报, 2022, 48(3): 656-666. |
|