Modelling environmental effects on phenology and canopy development of diverse sorghum genotypes
Modelling environmental effects on phenology and canopy development of diverse sorghum genotypes
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DOI：
10.1016/j.fcr.2008.11.010
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发表时间：
2009-03-15
影响因子：
5.8
通讯作者：
McLean, Greg
中科院分区：
文献类型：
--
作者：
Kumar, S. Ravi;Hammer, Graeme L.;McLean, Greg
预测物候和冠层发育的能力在作物模型中至关重要，这些作物模型用于模拟替代作物管理和品种选择策略可能产生的后果。在这里，我们量化和对比了印度和澳大利亚的一系列精英高粱(杂交种和长白种)对物候期和冠层发育的温度和光周期反应。在澳大利亚和印度进行了详细的田间试验，使用了一系列的基因类型、播种期和光周期延长处理。对各发育阶段的时间和叶片外观进行了测量。测试了模拟物候和冠层发育的光热方法的通用性。用一个结合了内在发育速率(R-opt)与温度和光周期反应的乘性模型，很好地解释了环境和基因对从出苗到开花的进展速度(E-fi)的影响。R-opt和光周期反应程度的差异解释了大多数基因效应。平均叶片起始率(LIR)、出叶率和从开花到生理成熟期的持续期在不同品种间存在差异。总叶数(TLN)与光周期的关系不能完全用发育效应和LIR来解释。虽然光周期对LIR的假设效应可以解释观测结果，但其他可能的混杂因素，如大气-土壤温差和模式结构的性质也被考虑和讨论。这项研究发现，在不同的基因类型和环境范围内，光热发育模型总体上具有强大的预测能力。因此，在温度和光周期变化很大的环境中，它们仍然是最适合于按管理方案进行基因型模拟分析的模型。(C)2008爱思唯尔B.V.保留所有权利。
The ability to predict phenology and canopy development is critical in crop models used for simulating likely consequences of alternative crop management and cultivar choice strategies. Here we quantify and contrast the temperature and photoperiod responses for phenology and canopy development of a diverse range of elite Indian and Australian sorghum genotypes (hybrid and landrace). Detailed field experiments were undertaken in Australia and India using a range of genotypes, sowing dates, and photoperiod extension treatments. Measurements of timing of developmental stages and leaf appearance were taken. The generality of photo-thermal approaches to modelling phenological and canopy development was tested. Environmental and genotypic effects on rate of progression from emergence to floral initiation (E-FI) were explained well using a multiplicative model, which combined the intrinsic development rate (R-opt), with responses to temperature and photoperiod. Differences in R-opt and extent of the photoperiod response explained most genotypic effects. Average leaf initiation rate (LIR), leaf appearance rate and duration of the phase from anthesis to physiological maturity differed among genotypes. The association of total leaf number (TLN) with photoperiod found for all genotypes could not be fully explained by effects on development and LIRs. While a putative effect of photoperiod on LIR would explain the observations, other possible confounding factors, such as air-soil temperature differential and the nature of model structure were considered and discussed. This study found a generally robust predictive capacity of photo-thermal development models across diverse ranges of both genotypes and environments. Hence, they remain the most appropriate models for simulation analysis of genotype-by-management scenarios in environments varying broadly in temperature and photoperiod. (c) 2008 Elsevier B.V. All rights reserved.