In order to illuminate the difference in yield stability for different varieties, yield stability was analyzed with varieties derived from Huanghuazhan and their parents as materials based on 17 yieldrelated traits for four consecutive seasons in two years by using the Additive Main effects and Multiplicative Interactions (AMMI) model. The results showed that rice yield greatly changed in the four environments, ranging from 2.21% to 19.45%. The yield stability and yieldrelated traits stability were varietydependent, with the highest yield stability in Feng′aizhan and the lowest in Shuanggui 36. Grain width and top leaf width, with stability coefficients of 0.043 and 0.049, showed the highest stability, followed by rice yield(with the stability coefficient of 0.178) and spikelet number per panicle(with stability coefficient of 0.935). Pedigree analysis showed that: the introduction of Changsizhan improved yield stability significantly. With changing breeding objectives, the stability index decreased until the introduction of Molisimao. The excellent germplasm resources would contribute to new rice variesty breeding with high stability of yield and yield related traits, thus promoting high and stable yielding rice breeding.
ZHANG Fenyun1,2,3， LI Hong2,3， WANG Chongrong2,3， ZHOU Degui2,3， ZHOU Xiangyang4， SITU Zhimou， LAI Suichun2,3， CHEN Liyun1， ZHOU Shaochuan1,2,3，*
. Stability Analysis of Rice Yield Related Traits of Varieties Derived from Huanghuazhan and It Parents[J]. Chinese Journal OF Rice Science, 2014
, 28(5)
: 487
-495
.
DOI: 10.3969/j.issn.1001-7216.2014.05.006
\[1\]程纯枢. 中国的气候与农业. 北京：气象出版社, 1991.
\[2\]高云, 江奕君. 华南年度间气候变化对水稻食味品质的影响初探. 广东农业科学, 2009, 7(11):1018.
\[3\]李勇, 杨晓光, 王文峰, 等. 气候变化背景下中国农业气候资源变化:Ⅰ. 华南地区农业气候资源时空变化特征. 应用生态学报, 2010, 21(10): 26052614.
\[4\]曹立勇, 占小登, 庄杰云, 等. 水稻产量性状的 QTL 定位与上位性分析. 中国农业科学, 2003, 36(11): 12411247.
\[5\]吴为人. 对基于AMMI模型的品种稳定性分析方法的一点改进. 遗传, 2000, 22(1): 3132.
\[6\]刘其宁, 杜刚, 吴学英. AMMI 模型在亚麻区域试验分析中的应用. 西南农业学报, 2008, 21(2): 295300.
\[7\]杨涛, 李加纳, 唐章林, 等. 三种评价品种稳定性方法的比较. 贵州农业科学, 2006, 34(1): 2831.
\[8\]王磊, 杨仕华, 沈希宏, 等. 作物品种区试数据分析的主效可加互作可乘模型 (AMMI) 图形. 南京农业大学学报, 1998, 21(2): 1823.
\[9\]张泽, 鲁成, 向仲怀. 基于 AMMI 模型的家蚕品种稳定性分析. 中国农业科学, 1998, 31(1): 6268.
\[10\]赵健, 郑长林. 水稻区试品种稳定性分析的 AMMI 模型应用. 福建稻麦科技, 2000, 18(3): 68.
\[11\]李艳艳, 丰震, 赵兰勇. 用 AMMI 模型分析玫瑰品种产花量的稳定性. 中国农业科学, 2008, 41(6): 17611766.
\[12\]英敏, 杨恩琼. AMMI 模型在玉米品种区域试验中的应用. 种子, 2008, 27(8): 97101.
\[13\]王艳秋, 邹剑秋. AMMI 模型在高粱品种区域试验中的应用. 杂粮作物, 2007(5): 336339.
\[14\]杨志平, 何凤发, 王季春, 等. AMMI 模型在马铃薯品种区试中的适用性分析. 西南农业大学学报: 自然科学版, 2006, 28(2): 322328.
\[15\]Thiyagu D, Rafii M, Mahmud T, et al. Genotype by environment assessment in sweetpotato as leafy vegetable using AMMI model. Pak J Bot, 2013, 45(3): 843852.
\[16\]Kulsum M U, Hasan M J, Akter A, et al. Genotypeenvironment interaction and stability analysis in hybrid rice: An application of additive main effects and multiplicative interaction. Bangladesh J Bot, 2013, 42(1): 7382.
\[17\]Kahram A, Khodarahmi M, Mohammadi A R, et al. Genotype× environment interaction analysis for grain yield of durum wheat new genotypes in the moderate region of iran using AMMI Model. World J Agric Sci, 2013, 9(3): 298304.
\[18\]刘文江, 李浩杰, 汪旭东. 用 AMMI 模型分析杂交水稻基本性状的稳定性. 作物学报, 2002, 28(4): 569573.
\[19\]黄平俊, 易建华, 蒲文宣, 等. 应用 AMMI 模型分析烤烟品种的产量适宜性. 中国农学通报, 2013, 29(4): 168172.
\[20\]Mahalingam L, Mahendran S, Babu R C, et al. AMMI analysis for stability of grain yield in rice (Oryza sativa L.). Int J Bot, 2006, 2(2): 104106.
\[21\]张坚勇, 肖应辉, 万向元, 等. 水稻品种外观品质性状稳定性分析. 作物学报, 2004, 30(6): 548554.
\[22\]张坚勇, 万向元, 肖应辉, 等. 水稻品种食味品质性状稳定性分析. 中国农业科学, 2004, 37(6): 788794.
\[23\]苏振喜, 赵国珍, 廖新华, 等. 云南粳型特色软米食味品质性状稳定性分析. 中国水稻科学, 2010, 24(3): 320324.
\[24\]万向元, 胡培松, 王海莲, 等. 水稻品种直链淀粉含量, 糊化温度和蛋白质含量的稳定性分析. 中国农业科学, 2005, 38(1): 16.
\[25\]蒋开锋, 郑家奎, 赵甘霖, 等. 杂交水稻产量性状稳定性及其相关性研究. 中国水稻科学, 2001, 15(1): 6769.
\[26\]Institute S. SAS/STAT 9.3 user’s guide. SAS Institute, 2011.
\[27\]高云. 华南双季 “早晚兼用” 型水稻育种研究进展. 中国种业, 2006(6): 1617
\[28\]汤圣祥, 王秀东, 刘旭. 中国常规水稻品种的更替趋势和核心骨干亲本研究.中国农业科学, 2012, 45(8): 14551464.
