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Using Additive Main Effect and Multiplicative Interaction Model for Exploration of Yield Stability in Some Lentil ( Lens Culinaris Medik.) Genotypes

机译:利用加性主效应和乘性相互作用模型探索一些扁豆基因型的产量稳定性

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The additive main effect and multiplicative interaction (AMMI) analysis has been indicated to be effective in interpreting complex genotype by environment (GE) interactions of lentil (Lens culinaris Medik.) multienvironmental trials. Eighteen improved lentil genotypes were grown in 12 semiarid environments in Iran from 2007 to 2009. Complex GE interactions are difficult to understand with ordinary analysis of variance (ANOVA) or conventional stability methods. Combined analysis of variance indicated the genotype by location interaction (GL) and three way interactions (GYL) were highly significant. FGH1 and FGH2 tests indicated the five significant components; FRatio showed three significant components and F-Gollob detected seven significant components. The RMSPD (root mean square predicted difference) values of validation procedure indicated seven significant components. Using five components in AMMI stability parameters (EVFI, SIP-CFI, AMGEFI and DFI) indicated that genotypes G5 and G6 were the most stable genotypes while considering three components in of AMMI stability parameters (EVFII, SIPCFII, AMGEFII and DFII) showed that genotypes G8 and G18 were the most stable genotypes. Also genotypes G2, G5 and G18 were the most stable genotypes according to AMMI stability parameters which calculated from seven components (EVFIII, SIP-CFIII, AMGEFIII and DFIII). Among these stable genotypes, only genotypes G2 (1365.63 kg × ha-1), G11 (1374.13 kg × ha′1) and G12 (1334.73 kg × ha-1) had high mean yield and so could be regarded as the most favorable genotype. These genotypes are therefore recommended for release as commercial cultivars.
机译:已经表明,加性主效应和乘性相互作用(AMMI)分析可有效解释小扁豆(Lens culinaris Medik。)多环境试验的环境(GE)相互作用引起的复杂基因型。从2007年到2009年,伊朗在12个半干旱环境中生长了18种改良的扁豆基因型。使用常规方差分析(ANOVA)或常规稳定性方法难以理解复杂的GE相互作用。方差的组合分析表明,通过位置相互作用(GL)和三向相互作用(GYL)进行的基因型非常重要。 F GH1 和F GH2 测试表明了五个重要组成部分。 F Ratio 显示三个重要成分,F-Gollob检测到七个重要成分。验证程序的RMSPD(均方根预测差异)值指示七个重要组成部分。使用AMMI稳定性参数中的五个成分(EVFI,SIP-CFI,AMGEFI和DFI)表明,基因型G5和G6是最稳定的基因型,而考虑AMMI稳定性参数中的三个成分(EVFII,SIPCFII,AMGEFII和DFII)表明该基因型G8和G18是最稳定的基因型。根据AMMI稳定性参数,基因型G2,G5和G18是最稳定的基因型,AMMI稳定性参数由七个成分(EVFIII,SIP-CFIII,AMGEFIII和DFIII)计算得出。在这些稳定的基因型中,只有基因型G2(1365.63 kg×ha -1 ),G11(1374.13 kg×ha'sup> 1 )和G12(1334.73 kg×ha ) -1 )的平均产量较高,因此可以认为是最有利的基因型。因此,建议将这些基因型作为商业品种发布。

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