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Path analysis for selection of drought tolerant sugarcane genotypes through physiological components.

机译:通过生理成分选择耐旱甘蔗基因型的路径分析。

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摘要

Water deficit is among the main environmental factors limiting agricultural productivity of sugarcane in Northeast Brazil by affecting virtually every aspect of plant growth, with consequent reduction of the agro-industrial productivity of this crop. This study aimed to use path analysis to evaluate the physiological components of sugarcane under two water conditions, with photosynthesis as the basic variable, in order to obtain subsidies that can help the genetic breeding of this crop by selection of superior clones with drought tolerance. The experiment was carried out in a greenhouse with a completely randomized experimental design, 4x2 factorial arrangements (four sugarcane genotypes x two soil moisture regimes: control, with 80-100% available water and stressed, with 0-20% water available) and with four replications. Each plot consisted of one pot with 12 kg of substrate containing one plant. Treatments were maintained at a humidity close to field capacity with daily replacement of the evapotranspired water with a water supply for 66 days of cultivation for treatments under stress. Evaluations were conducted on the fourth day after severe water stress at 70 days of cultivation. Data from nine physiological variables were considered, with six of these being used in the model after exclusion of those that were contributing to multicollinearity. Variables used in path analysis were enough to explain the variation found in photosynthesis under both water conditions. Stomatal conductance, transpiration and the SPAD index should be considered as a priority in breeding programs for sugarcane aiming to get more productive and tolerant genotypes to water stress, and selection indexes should be used with due consideration of these variables to promote gains in photosynthesis.Digital Object Identifier http://dx.doi.org/10.1016/j.indcrop.2011.11.015
机译:缺水是影响巴西东北部甘蔗农业生产几乎所有方面的主要环境因素之一,从而影响了该农作物的农业工业生产率。这项研究旨在使用路径分析来评估两个水条件下的甘蔗的生理成分,以光合作用为基本变量,以通过选择耐旱的优良克隆获得补贴,以帮助该作物的遗传育种。该实验是在具有完全随机实验设计的温室中进行的,因子设计为4x2(四种甘蔗基因型x两种土壤水分状况:对照,可利用80-100%的水分,有压力,可利用0-20%的水分)和四个重复。每个地块由一个盆和12公斤底物组成,其中包含一株植物。处理保持在接近田间持水量的湿度下,每天用供水替换蒸发蒸腾的水,持续66天,以便在压力下进行处理。在培养70天后出现严重缺水后的第四天进行评估。考虑了来自9个生理变量的数据,其中排除了有助于多重共线性的那些变量后,将其中6个用于模型。路径分析中使用的变量足以解释两种水条件下光合作用的变化。在甘蔗育种计划中应优先考虑气孔导度,蒸腾作用和 SPAD指数,目的是获得对水分胁迫更具生产力和耐受性的基因型,选择指数时应适当考虑这些变量促进光合作用的发展。数字对象标识符http://dx.doi.org/10.1016/j.indcrop.2011.11.015

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