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Wheat grain number and yield: The relative importance of physiological traits and source-sink balance in southern Australia

机译:小麦谷物数量和产量:澳大利亚南部生理性状和源水槽余额的相对重要性

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Grain number (GN) is determined by spike growth rate (SGR), fruiting efficiency (FE) and the duration of spike growth period (D-s). However, these three traits are not independent of each other and therefore quantifying their relative contribution to GN is important for improving yield potential. This study aimed to model GN as a function of SGR, FE and D-s in bread wheat and investigate the relative importance of these three traits in determining GN. A large number of commercial varieties, elite wheat breeding lines, and a Multiparent Advanced Generation InterCross population were evaluated for GN, SGR, D-s, and FE in six Australian environments in 2014 and 2015. The model explained 43-98% of the variation in GN in individual environments and 88% of the variation in GN across the six environments. The percentage of GN variance explained by the model was significantly higher than those explained by correlating GN to individual traits. The relative importance of the contribution of the three traits to GN was different and ranked as SGR > FE > D-s. The negative correlation between FE and spike dry weight at anthesis (SDWa) appears to be spurious, suggesting that there was no causality between high FE and low SDWa and vice versa. Thus, FE can be used as an independent trait to increase GN in addition to SGR and D-s. We also investigated if the wheat crop had enough source to fill the increased sink size in the southern Australian high rainfall environment. The source-sink balance analysis indicates that the available source, consisting of concurrent photosynthetic assimilate and stored water-soluble carbohydrate at anthesis, was sufficient to fill the established sink but no surplus assimilates were available to fill a larger sink in southwestern Australia. However, the opportunity to increase yield potential by further increasing grain number might exist in south-eastern Australia environments.
机译:谷物数(GN)由穗生长速率(SGR),结果效率(Fe)和穗增长期(D-S)的持续时间决定。然而,这三种特征彼此不合适,因此量化它们对GN的相对贡献对于提高产量潜力至关重要。本研究旨在为GN设计GN,作为STR,Fe和D-S中的面包小麦的功能,并研究这三种性状在确定GN时的相对重要性。在2014年和2015年,评估了大量商业品种,精英小麦养殖系,精英小麦养殖系和多种先进一代间的群体。该模型解释了43-98%的变异在各个环境中GN和六个环境中GN的88%。由模型解释的GN方差的百分比显着高于通过将GN与个体特征相关解释的百分比。三种性状对GN的贡献的相对重要性不同,并作为SGR> Fe> D-S排名。在开花(SDWA)之间的Fe和尖刺干重之间的负相关似乎是虚假的,这表明高FE和低SDWA之间没有因果关系,反之亦然。因此,除了SGR和D-S之外,Fe可以用作升高GN的独立特征。我们还调查了小麦作物有足够的来源,以填补澳大利亚南部南部的高降雨环境中增加的水槽尺寸。源极余量分析表明,在开花的同时光合作用同化和储存水溶性碳水化合物组成的可用源足以填补已建立的水槽,但没有剩余的同化可以在澳大利亚西南部填补一个较大的水槽。然而,通过进一步增加谷物数量增加产量潜力的机会可能存在于澳大利亚东南部的环境中。

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