首页> 外文学位 >GENOTYPE X ENVIRONMENT INTERACTION AND STABILITY PARAMETERS FOR YIELD AND OTHER AGRONOMIC TRAITS AMONG MAIZE (ZEA MAYS L.) COMPOSITES IN NEPAL
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GENOTYPE X ENVIRONMENT INTERACTION AND STABILITY PARAMETERS FOR YIELD AND OTHER AGRONOMIC TRAITS AMONG MAIZE (ZEA MAYS L.) COMPOSITES IN NEPAL

机译:尼泊尔玉米(玉米)复合品种的基因型X环境互作和稳定性参数

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摘要

Nine maize (Zea mays L.) composites grown at seven different locations in Nepal in 1982 and 1983 were studied to evaluate their yield performance in terms of stability and potential yield. A statistical model developed by Eberhart and Russell was utilized for computation of three parameters, mean yield, regression coefficient, and deviation from regression. Large deviations from regression limited the use of regression coefficients as predictive parameters.;The combined analysis of variance exhibited highly significant first and second order interactions indicating a need to select genotypes more specifically for different agroclimatic regions in the country. The stability parameters were used to show the existence of wide genotypic differences in response to environments and they are useful in describing and predicting genotype performances.;Genotypes having higher yield over 14 environments were Mankamna-2, Rampur-2, Ganesh-2, and Khumal Yellow. However, Mankamna-2 and Khumal Yellow had significantly greater deviation from regression. Rampur-2 and Ganesh-2 had higher mean yield, regression coefficients of one and had smaller deviation (near zero) from regression, therefore were classified as stable genotypes. In contrast a local cultivar which had low mean yield and highest deviation from regression was designated as the most unstable source. Rampur composites which had a low mean yield, a regression coefficient significantly less than unity and nearly zero deviation from regression was classified as a genotype suitable for less favorable environmental conditions.;Other agronomic characters including plant height and days to 50% silking were also evaluated using the Eberhart and Russell (1966) model. Only deviation from regression parameters was considered in this case since means and regression coefficients were nearly the same for all sources. Ganesh-2 was most stable in days to 50% silking. For plant height, Ganesh-2, Khumal Yellow, Rampur composites, Rampur-1, and Rampur-2 were rated as most stable. Although genotypes showed marked differences in mean performance, they were relatively nonsensitive to environment for their traits and the most important stability parameter appeared to be deviation from regression.
机译:研究了1982年和1983年在尼泊尔七个不同地点种植的九种玉米(Zea mays L.)复合材料的稳定性和潜在单产,以评估其产量表现。由Eberhart和Russell开发的统计模型用于计算三个参数,即平均产量,回归系数和回归偏差。与回归的较大偏差限制了将回归系数用作预测参数。方差的组合分析显示出高度显着的一阶和二阶相互作用,表明需要更具体地选择基因型以适合该国不同的农业气候地区。稳定性参数用于显示对环境的响应存在广泛的基因型差异,对描述和预测基因型表现很有用。在14个环境中具有较高产量的基因型为Mankamna-2,Rampur-2,Ganesh-2和呼玛尔·黄。但是,Mankamna-2和Khumal Yellow与回归的偏差明显更大。 Rampur-2和Ganesh-2具有较高的平均产量,回归系数为1,与回归的偏差较小(接近零),因此被归为稳定基因型。相反,具有最低平均产量和最大回归偏差的本地品种被指定为最不稳定的来源。平均收率低,回归系数显着低于统一系数,回归系数几乎为零的Rampur复合材料被归为适合不利环境条件的基因型;还评估了其他农艺性状,包括株高和到50%蚕丝的天数使用Eberhart和Russell(1966)模型。在这种情况下,仅考虑与回归参数的偏差,因为所有来源的均值和回归系数几乎相同。 Ganesh-2在几天内达到最稳定的丝化程度为50%。对于植物高度,将Ganesh-2,Khumal Yellow,Rampur复合材料,Rampur-1和Rampur-2评为最稳定。尽管基因型在平均性能上显示出显着差异,但它们的性状对环境相对不敏感,最重要的稳定性参数似乎是回归的偏差。

著录项

  • 作者

    LAL, KAUSHAL KISHORE.;

  • 作者单位

    Kansas State University.;

  • 授予单位 Kansas State University.;
  • 学科 Agronomy.
  • 学位 Ph.D.
  • 年度 1984
  • 页码 71 p.
  • 总页数 71
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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