{"title":"埃塞俄比亚北沃罗末端水分胁迫区大麦基因型产量稳定性分析","authors":"Akalu Gebru, Agegnehu Mekonnen, Arega Gashaw","doi":"10.31248/JASP2019.121","DOIUrl":null,"url":null,"abstract":"Field experiments were conducted at Estayish, Geregera and Kon testing sites of Sirinka Agricultural Research Center (SARC), North Wollo, Ethiopia for two consecutive years (2013 and 2014) during the main season with the objective of evaluating the performance of malt barley genotypes for grain yield and yield stability under diverse environments. Fifteen promising malt barley genotypes, along with the standard check (Miscal 21) were evaluated using Randomized Complete Block Design (RCBD), replicated three times. Genotypes were row-planted on a plot size of 3 m2. N and P2O5, in the form of Urea and Di-Ammonium Phosphate (DAP) fertilizers, were applied at the rate of 23 kg ha-1 and 46 kg ha-1, respectively and all other cultural practices were carried-out uniformly for all treatments as required. Grain yield was recorded from the central four rows (2 m2) and measured with sensitive balance. Data were subjected to analysis of variance (ANOVA) using Genstat software package 16th edition. Duncan Multiple Range Test (DMRT) was used to separate means. Genotype by Genotype-Environment (GGE) biplot model was employed to analyze phenotypic stability of malt barley genotypes for grain yield. ANOVA depicted significant variations (p<0.01) among genotypes (G), years (Y), locations (L) and their two and three way interactions for grain yield. The presence of significant variations among the tested malt barley genotypes for grain yield indicated the possibility of improving productivity of malt barley through selection. However, the existence Genotype x Environment Interaction (GEI) revealed differential response of malt barley genotype across environments, necessitating to develop environmentally less sensitive malt barley genotype. Analysis of GGE revealed that G6 and G11 were close to the ideal genotype and hence recommended for major barley producing areas of North Wollo.","PeriodicalId":14890,"journal":{"name":"Journal of Agricultural Science and Practice","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of yield stability of malt barley genotypes under terminal moisture stressed areas of North Wollo, Ethiopia\",\"authors\":\"Akalu Gebru, Agegnehu Mekonnen, Arega Gashaw\",\"doi\":\"10.31248/JASP2019.121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Field experiments were conducted at Estayish, Geregera and Kon testing sites of Sirinka Agricultural Research Center (SARC), North Wollo, Ethiopia for two consecutive years (2013 and 2014) during the main season with the objective of evaluating the performance of malt barley genotypes for grain yield and yield stability under diverse environments. Fifteen promising malt barley genotypes, along with the standard check (Miscal 21) were evaluated using Randomized Complete Block Design (RCBD), replicated three times. Genotypes were row-planted on a plot size of 3 m2. N and P2O5, in the form of Urea and Di-Ammonium Phosphate (DAP) fertilizers, were applied at the rate of 23 kg ha-1 and 46 kg ha-1, respectively and all other cultural practices were carried-out uniformly for all treatments as required. Grain yield was recorded from the central four rows (2 m2) and measured with sensitive balance. Data were subjected to analysis of variance (ANOVA) using Genstat software package 16th edition. Duncan Multiple Range Test (DMRT) was used to separate means. Genotype by Genotype-Environment (GGE) biplot model was employed to analyze phenotypic stability of malt barley genotypes for grain yield. ANOVA depicted significant variations (p<0.01) among genotypes (G), years (Y), locations (L) and their two and three way interactions for grain yield. The presence of significant variations among the tested malt barley genotypes for grain yield indicated the possibility of improving productivity of malt barley through selection. However, the existence Genotype x Environment Interaction (GEI) revealed differential response of malt barley genotype across environments, necessitating to develop environmentally less sensitive malt barley genotype. 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引用次数: 0
摘要
在主要季节,连续两年(2013年和2014年)在埃塞俄比亚北沃罗Sirinka农业研究中心(SARC)的Estayish、Geregera和Kon试验点进行了田间试验,目的是评估不同环境下不同基因型大麦对粮食产量和产量稳定性的影响。使用随机完全区组设计(RCBD)评估了15种有前景的麦芽基因型,以及标准检查(Miscal 21),重复了3次。基因型在3 m2的地块上成行种植。氮肥和P2O5以尿素和磷酸二铵(DAP)肥的形式分别施用23 kg hm -1和46 kg hm -1,其他栽培措施按要求统一施用。从中央四行(2平方米)开始记录粮食产量,并用灵敏天平测量。数据采用Genstat软件包第16版进行方差分析(ANOVA)。采用Duncan多元极差检验(DMRT)进行均值分离。采用基因型-环境(GGE)双图模型分析了麦芽大麦基因型对籽粒产量的表型稳定性。方差分析显示,基因型(G)、年份(Y)、地点(L)及其相互作用对粮食产量的影响显著(p<0.01)。大麦籽粒产量在不同基因型间存在显著差异,表明通过选择提高大麦产量的可能性。然而,基因型x环境互作(GEI)的存在揭示了大麦基因型在不同环境下的差异响应,因此有必要开发环境不敏感的大麦基因型。GGE分析表明,G6和G11接近理想基因型,推荐用于北沃罗大麦主产区。
Analysis of yield stability of malt barley genotypes under terminal moisture stressed areas of North Wollo, Ethiopia
Field experiments were conducted at Estayish, Geregera and Kon testing sites of Sirinka Agricultural Research Center (SARC), North Wollo, Ethiopia for two consecutive years (2013 and 2014) during the main season with the objective of evaluating the performance of malt barley genotypes for grain yield and yield stability under diverse environments. Fifteen promising malt barley genotypes, along with the standard check (Miscal 21) were evaluated using Randomized Complete Block Design (RCBD), replicated three times. Genotypes were row-planted on a plot size of 3 m2. N and P2O5, in the form of Urea and Di-Ammonium Phosphate (DAP) fertilizers, were applied at the rate of 23 kg ha-1 and 46 kg ha-1, respectively and all other cultural practices were carried-out uniformly for all treatments as required. Grain yield was recorded from the central four rows (2 m2) and measured with sensitive balance. Data were subjected to analysis of variance (ANOVA) using Genstat software package 16th edition. Duncan Multiple Range Test (DMRT) was used to separate means. Genotype by Genotype-Environment (GGE) biplot model was employed to analyze phenotypic stability of malt barley genotypes for grain yield. ANOVA depicted significant variations (p<0.01) among genotypes (G), years (Y), locations (L) and their two and three way interactions for grain yield. The presence of significant variations among the tested malt barley genotypes for grain yield indicated the possibility of improving productivity of malt barley through selection. However, the existence Genotype x Environment Interaction (GEI) revealed differential response of malt barley genotype across environments, necessitating to develop environmentally less sensitive malt barley genotype. Analysis of GGE revealed that G6 and G11 were close to the ideal genotype and hence recommended for major barley producing areas of North Wollo.