首页> 外文期刊>Journal of Oilseeds Research >Path coefficient analysis of seed yield in Indian mustard [Brassica juncea (L.) Czern. & Coss.] under drought
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Path coefficient analysis of seed yield in Indian mustard [Brassica juncea (L.) Czern. & Coss.] under drought

机译:印度芥菜[Brassica juncea(L.)Czern。]的种子产量的路径系数分析。和干旱]

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The present investigation was carried out to assess the components of seed yield under drought stress using path coefficient analysis. Twenty two genotypes of Indian mustard were grown in a Randomized Complete Block Design with three replications during rabi, 2007-08. Analysis of variance indicated presence of variability in the experimental genotypes for seed yield and other morpho-physiological characters except main shoot length, harvest index, protein content, SLW at 35 days after sowing (DAS) and seed: husk ratio. Seed yield/plant was positively and significantly correlated at both phenotypic and genotypic levels with days to maturity, plant height, primary branches/plant, secondary branches/plant, siliquae on main shoot. LAI, COR and biological yield/plant. Seed yield/plant had negative genotypic correlations of moderate strength with transpiration quotient at 35 and 75 DAS indicating its positive relationship with water use efficiency. The RGR during 35-75 DAS followed by RGR between 75 and95 DAS exerted the highest direct positive effects on seed yield. Biological yield/plant, SLW at 75 DAS, TDM at 75 and 95 DAS, SCMR at 35 DAS, siliquae on main shoot, days to maturity and siliqua length also had substantial positive direct effects. The characters under study explained about 96.5% and 100% variability in the seed yield at phenotypic and genotypic level, respectively. Dry matter production, early growth and development of the crop are important under drought due to continuous decline in available soil moisture. Since LAI, LGR, CGR, RGR and NAR are the functions of dry matter production and/or leaf area, therefore, selection on the basis of high biological yield and large LAI at 50% flowering should be quite effective in improving seed yield under drought. An increase in LAI might increase radiation load resulting in to high transpiration. Therefore, genotypes having high LAI with erect leaves and low TQ should be accorded priority in the selection programme.
机译:本研究旨在通过路径系数分析评估干旱胁迫下种子产量的组成。 2007-08年狂犬病期间,在随机完全区组设计中种植了22种印度芥菜基因型,并进行了3次复制。方差分析表明,除主茎长度,收获指数,蛋白质含量,播种后第35天(DAS)和种子:稻壳比之比外,种子产量和其他形态生理特征的实验基因型存在变异性。在表型和基因型水平上,种子的产量/植物与成熟天数,植物高度,主要分支/植物,次要分支/植物,主茎上的刺梨正相关且显着相关。 LAI,COR和生物产量/植物。种子产量/植物在35和75DAS下具有中等强度与蒸腾商的负基因型相关性,表明其与水分利用效率呈正相关。 35-75 DAS期间的RGR,然后75-95 DAS之间的RGR对种子产量产生了最高的直接正效应。生物产量/植物,75 DAS的SLW,75和95 DAS的TDM,35 DAS的SCMR,主茎上的硅果,成熟天数和硅果长度也具有明显的正向直接影响。在表型和基因型水平上,所研究的性状分别解释了种子产量中约96.5%和100%的变异性。由于干旱条件下土壤有效水分的持续下降,干物质的生产,作物的早期生长和发育非常重要。由于LAI,LGR,CGR,RGR和NAR是干物质生产和/或叶面积的函数,因此,在高生物产量和50%开花的大LAI的基础上进行选择,在干旱条件下提高种子产量上应该非常有效。 。 LAI的增加可能会增加辐射负荷,从而导致高蒸腾作用。因此,在选择程序中应优先考虑具有高LAI,直立叶和低TQ的基因型。

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