Modelling the dynamics and phenotypic consequences of tiller outgrowth and cessation in sorghum

IF 2.6 Q1 AGRONOMY in silico Plants Pub Date : 2023-11-03 DOI:10.1093/insilicoplants/diad019
G L Hammer, G McLean, J Kholová, E van Oosterom
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Abstract

Abstract Tillering affects canopy leaf area, and hence crop growth via capture of light, water, and nutrients. Depending on the season, variation in tillering can result in increased or decreased yield. Reduced tillering has been associated with water-saving and enhanced yield in water-limited conditions. The objective of this study was to develop a generic model of the dynamics of tillering in sorghum incorporating key genetic and environmental controls. The dynamic of tillering was defined in four key phases – pre-tillering, tiller emergence, cessation of tiller emergence, and cessation of tiller growth. Tillering commenced at full expansion of leaf four and thereafter was synchronised with leaf appearance. The potential total number of tillers (TTN) was dependent on a genetic propensity to tiller and an index of assimilate availability dependent on the shoot source-sink balance. Cessation of tiller emergence could occur before TTN depending on extent of competition from neighbours. Subsequent cessation of growth of emerged tillers was related to the extent of internal competition for assimilate among plant organs, resulting in prediction of final fertile tiller number (FTN). The model predicted tillering dynamics well in an experiment with a range in plant density. Plausibility simulations of FTN conducted for diverse field conditions in the Australian sorghum belt reflected expectations. The model is able to predict fertile tiller number as an emergent property. Its utility to explore GxMxE crop adaptation landscapes, guide molecular discovery, provide a generic template for other cereals, and link to advanced methods for enhancing genetic gain in crops were discussed.
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模拟高粱分蘖生长和停止的动力学和表型后果
分蘖通过捕获光、水和养分影响冠层叶面积,从而影响作物生长。根据季节的不同,分蘖的变化会导致产量的增加或减少。在缺水条件下,减少分蘖与节水和增产有关。本研究的目的是建立一个包含关键遗传和环境控制的高粱分蘖动力学的通用模型。分蘖动态分为分蘖前、分蘖出苗、分蘖停止出苗和分蘖生长停止四个关键阶段。分蘖在第四叶完全展开时开始,此后与叶片外观同步。潜在分蘖总数(TTN)取决于分蘖的遗传倾向和依赖于茎源库平衡的同化物有效性指数。分蘖出苗停止可能发生在TTN之前,这取决于来自邻居的竞争程度。出苗分蘖随后的生长停止与植物器官间同化物的内部竞争程度有关,从而预测最终可育分蘖数(FTN)。该模型较好地预测了植物密度范围内的分蘖动态。在澳大利亚高粱带不同的田间条件下进行的FTN的合理性模拟反映了预期。该模型能够预测可育分蘖数作为一种涌现特性。讨论了其在探索GxMxE作物适应性景观、指导分子发现、为其他谷物提供通用模板以及与提高作物遗传增益的先进方法联系方面的应用。
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
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