龙岩适应性烤烟品种(系)评价筛选
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摘要
为准确、客观地筛选出适宜龙岩烟区种植的优良烤烟品种(系),联用方差分析、AMMI模型和GGE双标图3种方法对‘闽烟35’、‘C2’、‘FL88f’、‘翠碧1号’、‘闽烟38’、‘闽烟57’、‘F31-2’、‘FL25’和‘云烟87’等9个烤烟品种(系)连续2年的经济性状和品质性状的多目标决策值进行分析评价。结果表明,龙岩烤烟品种(系)的经济、品质性状表现主要受品种效应影响,其次是品种×地点互作效应。其中,‘FL88f’经济性状丰产性表现最好,显著优于‘云烟87’,稳定性较好且适应性强;品质性状丰产性、稳定性和适应性均较好,稍优于‘云烟87’。因此,综合经济性状和品质性状表现,品系‘FL88f’可以作为龙岩烟区的后备品系,建议审定后应用。
The aim is to screen out appropriate flue-cured tobacco varieties(strains) in Longyan. The multiple objective decision making(MODM) values of economic and quality traits of nine varieties(strains) for 2 consecutive years including'Minyan35','C2','FL88 f','Cuibi-1','Minyan38','Minyan57','F31-2','FL25'and'Yunyan87'were analyzed and evaluated using a combination method of variance analysis,AMMI model and GGE biplot. The results showed that variety was the most important influence factor on economic and quality traits, followed by interaction of variety × environment. In economic traits,'FL88 f' had the best productivity characteristic and was superior to'Yunyan87', and had better stability and strong adaptability. In quality traits, the productivity, stability and adaptability of'FL88 f'were better than that of'Yunyan87'. Therefore, according to comprehensive performance of economic and quality traits,'FL88 f'can act as a reserved stain in Longyan, and is recommended for application after cultivar registration.
The aim is to screen out appropriate flue-cured tobacco varieties(strains) in Longyan. The multiple objective decision making(MODM) values of economic and quality traits of nine varieties(strains) for 2 consecutive years including'Minyan35','C2','FL88 f','Cuibi-1','Minyan38','Minyan57','F31-2','FL25'and'Yunyan87'were analyzed and evaluated using a combination method of variance analysis,AMMI model and GGE biplot. The results showed that variety was the most important influence factor on economic and quality traits, followed by interaction of variety × environment. In economic traits,'FL88 f' had the best productivity characteristic and was superior to'Yunyan87', and had better stability and strong adaptability. In quality traits, the productivity, stability and adaptability of'FL88 f'were better than that of'Yunyan87'. Therefore, according to comprehensive performance of economic and quality traits,'FL88 f'can act as a reserved stain in Longyan, and is recommended for application after cultivar registration.
引文
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[22]严威凯.双标图分析在农作物品种多点试验中的应用[J].作物学报,2010,36(11):1805-1819.
[23]中国农业科学院烟草研究所.中国烟草栽培学[M].上海:上海科学技术出版社,2005:159.
[24]刘振兴,程须珍,周桂梅,等.多目标决策在小豆种质资源评价中的应用[J].植物遗传资源学报,2011,12(1):54-58.
[25]陈顺辉,巫升鑫,程崖芝,等.福建省烤烟育种工作现状及展望[J].海峡科学,2009(12):3-5.
[2]孙计平,李雪君,吴照辉,等.应用AMMI模型分析烤烟区试品种稳定性[J].中国农学通报,2011,27(19):263-267.
[3]孙计平,陈廷贵,李雪君,等.河南浓香型烟区烤烟品种(系)适应性研究[J].中国烟草科学,2012(6):13-17.
[4]查宏波,黄韡,胡启贤,等.应用AMMI模型评价烤烟品种产量适宜性[J].中国烟草学报,2012,18(2):17-20.
[5]张征锋,肖本泽.利用AMMI模型分析杂交水稻配合力[J].植物遗传资源学报,2015,16(2):400-404.
[6]Rodrigues P C,Monteiro A,Lourenco V M.A robust AMMI model for the analysis of genotype-by-environment data[J].Bioinformatics,2016,32(1):58-66.
[7]陈志厚.GGE双标图对抗寒烤烟品种区域试验的分析[J].中国农学通报,2013,29(16):139-142.
[8]赵杰宏,谢升东,蒲文宣,等.GGE双标图在烤烟新品种重要经济性状筛选布局中的初步应用[J].中国烟草科学,2013,34(6):10-14.
[9]吴春,李余湘,时宏书,等.GGE双标图分析在烤烟品种区域试验中的应用[J].烟草科技,2014(5):88-93.
[10]许乃银,李健.利用GGE双标图划分长江流域棉花纤维品质生态区[J].作物学报,2014,40(5):891-898.
[11]Dehghani M R,Majidi M M,Saeidi G,et al.Application of GGE biplot to analyse stability of Iranian tall fescue(Lolium arundinaceum)genotypes[J].Crop&Pasture Science,2017,66(9):963-972.
[12]Dehghani H,Feyzian E,Jalali M,et al.Use of GGE biplot methodology for genetic analysis of yield and related traits in melon(Cucumis melo L.)[J].Canadian Journal of Plant Science,2017,92(1):77-85.
[13]Roostaei M,Mohammadi R,Amri A.Rank correlation among different statistical models in ranking of winter wheat genotypes[J].The Crop Journal,2014,2(Z1):154-163.
[14]汪洲涛,苏炜华,阙友雄,等.应用AMMI和HA-GGE双标图分析甘蔗品种产量稳定性和试点代表性[J].中国生态农业学报,2016,24(6):790-800.
[15]Kumar V,Kharub A S,Verma R P S,et al.AMMI,GGE biplots and regression analysis to comprehend the G×E interaction in multienvironment barley trials[J].Indian Journal of Genetics&Plant Breeding,2016,76(2):202-204.
[16]Kendal E,Sayar M S,Tekdal S,et al.Assessment of the impact of ecological factors on yield and quality parameters in triticale using GGE biplot and AMMI analysis[J].Pakistan Journal of Botany,2016,48(5):1903-1913.
[17]Hejazi P,Khalkhali S K Z.Study on Stability of Grain Yield Sunflower Cultivars by AMMI and GGE bi Plot in Iran[J].Molecular Plant Breeding,2016,7(2):1-6.
[18]Lubadde G,Tongoona P,Derera J,et al.Analysis of Genotype by Environment Interaction of Improved Pearl Millet for Grain Yield and Rust Resistance[J].Journal of Agricultural Science,2017,9(2):188-195.
[19]唐启义.DPS数据处理系统:实验设计\统计分析及数据挖掘(第二版)[M].北京:科学技术出版,2010:547-552.
[20]陈奕辰.双标图在作物品种评价和品种环境互作分析中的应用[D].北京:北京工业大学,2014.
[21]杨保安,张科静.多目标决策分析理论、方法与应用研究[M].上海:东华大学出版社,2008:14-35.
[22]严威凯.双标图分析在农作物品种多点试验中的应用[J].作物学报,2010,36(11):1805-1819.
[23]中国农业科学院烟草研究所.中国烟草栽培学[M].上海:上海科学技术出版社,2005:159.
[24]刘振兴,程须珍,周桂梅,等.多目标决策在小豆种质资源评价中的应用[J].植物遗传资源学报,2011,12(1):54-58.
[25]陈顺辉,巫升鑫,程崖芝,等.福建省烤烟育种工作现状及展望[J].海峡科学,2009(12):3-5.