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Selection criteria for rice grain yield based on the path analyses, nonstructural carbohydrate partitioning, and nitrogen utilization efficiency of 15 diverse rice (Oryza sativa L.) genotypes.

机译:基于路径分析,非结构性碳水化合物分配和15种不同水稻基因型的氮素利用效率,对水稻籽粒产量的选择标准。

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摘要

In line with the breeding objective of improving rice grain yield, selection criteria for the indirect selection of yield were studied through path analyses of yield-related traits, the partitioning of total nonstructural carbohydrates (TNC) between plant structures, and the nitrogen use efficiency (NUE) of diverse rice genotypes. Fifteen rice genotypes which represented the combinations of low and high levels of four important yield determinants—maximum number of tillers, grain weight, panicle node number, and particle size were used in this study. These genotypes included Lemont, Teqing and 13 inbred lines obtained from a Lemont × Teqing cross. Field experiments were conducted during the 1994 and 1995 cropping seasons at the Texas A&M University Agricultural Research and Extension Center, Beaumont, Texas.;The interrelationships among 14 yield-related traits and grain yield were studied using path analyses. The analyses of the combined 1994 and 1995 data revealed that panicle weight, numbers of spikelets and filled grains per particle, panicle density, maximum tiller density, and 100-grain weight had positive direct effects on grain yield while panicle node number had a negative direct effect on grain yield.;Path analysis revealed that during the early- to late-heading period and the late-heading to grain hardening periods, the changes in stem TNC content had significant direct effects on the changes in panicle TNC content. Significant genotype x developmental stage x plant structure interaction indicated the potential for selection of rice lines with high stem TNC concentration at heading. Linear contrasts indicated that low-grain weight genotypes had higher stem TNC concentration at harvest, which in turn suggested for the selection of high-grain weight genotypes.;Rice genotypes with relatively higher NUE would be beneficial to both rice breeders and farmers. Significant variation in NUE due to genotypes was observed, with the NUE values ranging from 25.3 to 63.9 g GW g N absorbed –1. NUE and grain yield were found to be correlated. The simultaneous improvement of NUE and grain yield cannot be achieved by indirectly selecting for any one of the four traits studied. It would be necessary to select for both NUE and grain yield.
机译:为了提高水稻籽粒产量的育种目标,通过对产量相关性状的通径分析,植物结构之间总非结构性碳水化合物(TNC)的分配以及氮素利用效率的研究,研究了间接选择产量的选择标准。 NUE)的水稻基因型多样。在本研究中,使用了15种水稻基因型,它们代表了四个重要产量决定因素的低水平和高水平组合-最大分max数,谷粒重量,穗节数和粒径。这些基因型包括Lemont,Teqing和从Lemont×Teqing杂交获得的13个自交系。在1994年和1995年的种植季节期间,在得克萨斯州博蒙特的得克萨斯州A&M大学农业研究和推广中心进行了田间试验;使用路径分析研究了14个与产量相关的性状与谷物产量之间的相互关系。对1994年和1995年数据的综合分析表明,穗重,穗粒数和实粒粒数,穗密度,最大分till密度和100粒重对籽粒产量有正向直接影响,而穗节数对负向有直接影响。通径分析表明,在抽穗初期至后期和抽穗后期至籽粒硬化时期,茎中TNC含量的变化对穗状TNC含量的变化具有显着的直接影响。显着的基因型x发育阶段x植物结构相互作用表明抽穗期选择具有高茎TNC浓度的水稻系的潜力。线性对比表明,低粒重基因型在收获时具有较高的茎TNC浓度,这反过来建议选择高粒重基因型。NUE相对较高的水稻基因型对水稻育种者和农民均有利。观察到由于基因型引起的NUE的显着变化,NUE值介于25.3至63.9 g GW g N吸收的 –1 。 NUE和谷物产量之间存在相关性。通过间接选择所研究的四个特性中的任何一个,都无法同时提高NUE和提高谷物产量。必须同时选择NUE和谷物产量。

著录项

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Agriculture Agronomy.;Biology Plant Physiology.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 100 p.
  • 总页数 100
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:48:20

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