The development of a new crop growth model SwitchFor for yield mapping of switchgrass.
The development of a new crop growth model SwitchFor for yield mapping of switchgrass.
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DOI：
10.1111/gcbb.12998
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发表时间：
2022-12
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影响因子：
--
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中科院分区：
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柳枝稷是一种很有前途的能源作物，具有缓解全球变暖和能源安全、改善当地生态和创造利润的潜力。其数量性状，如生物量生产力和环境适应性，是由基因型-环境相互作用（GEI）或在不同目标环境中生长的基因型的响应决定的。为了模拟柳枝稷在其原始栖息地之外的产量，通过参数化MiscanFor模型开发了一个捕获GEI的基因型特异性生长模型SwitchFor。输入参数用于描述不同土壤和气候条件下的基因型特异性特征，使该模型能够在广泛的环境和气候条件下预测产量。利用全球田间试验数据对模型进行了验证，并应用于黄土高原边缘地柳枝稷产量潜力估算。结果表明，高地和低地柳枝稷在适应带和立地生物量产量的空间分布上存在显著差异。山地柳枝稷的适应带面积是低地生态型的4.5倍。旱地生态型与低地生态型的产量差异为0 ~ 34 Mg ha−1。低地生态型的加权平均产量（20 Mg ha−1）显著高于高地生态型（5 Mg ha−1）。通过对1 km2栅格位置上高地和低地生态型的产量进行比较，得到了最优产量图，结果表明，黄土高原边缘土地上最优柳枝稷的总产量潜力为61.6 ~ 106.4 Tg，约为个别生态型的2倍。与现有模型相比，SwitchFor模型对柳枝稷产量的预测精度显著提高。这种空间明确的、特定品种的模型为土地管理和作物育种提供了有价值的信息，并为其他品种的产量制图提供了一个强大的、可扩展的框架。建立了一种新的柳枝稷品种特异性生长模型SwitchFor模型，该模型可以准确估计柳枝稷在广阔环境下的产量。将SwitchFor模型应用于具有12.8 ~ 20.8 Mha边际土地的黄土高原区估算产量潜力。综合考虑高原和低地生态型，黄土高原柳枝稷的潜在产量可达62 ~ 106 Tg。
Switchgrass is a promising energy crop has the potential to mitigate global warming and energy security, improve local ecology and generate profit. Its quantitative traits, such as biomass productivity and environmental adaptability, are determined by genotype‐by‐environment interaction (GEI) or response of genotypes grown across different target environments. To simulate the yield of switchgrass outside its original habitat, a genotype‐specific growth model, SwitchFor that captures GEI was developed by parameterising the MiscanFor model. Input parameters were used to describe genotype‐specific characteristics under different soil and climate conditions, which enables the model to predict the yield in a wide range of environmental and climate conditions. The model was validated using global field trail data and applied to estimate the switchgrass yield potentials on the marginal land of the Loess Plateau in China. The results suggest that upland and lowland switchgrass have significant differences in the spatial distribution of the adaptation zone and site‐specific biomass yield. The area of the adaption zone of upland switchgrass was 4.5 times of the lowland ecotype's. The yield difference between upland and lowland ecotypes ranges from 0 to 34 Mg ha−1. The weighted average yield of the lowland ecotype (20 Mg ha−1) is significantly higher than the upland type (5 Mg ha−1). The optimal yield map, generated by comparing the yield of upland and lowland ecotypes based on 1 km2 grid locations, illustrates that the total yield potential of the optimal switchgrass is 61.6–106.4 Tg on the marginal land of the Loess Plateau, which is approximately twice that of the individual ecotypes. Compared with the existing models, the accuracy of the yield prediction of switchgrass is significantly improved by using the SwitchFor model. This spatially explicit and cultivar‐specific model provides valuable information on land management and crop breeding and a robust and extendable framework for yield mapping of other cultivars. A new cultivar‐specific switchgrass plant growth model, SwitchFor model, was developed and validated to give an accurate estimation of the switchgrass yield in a wide environment. The SwitchFor model was applied to the Loess Plateau region, which has about 12.8–20.8 Mha marginal land to estimate the yield potential. It was estimated that the Loess Plateau has a potential to produce up to 62–106 Tg switchgrass by considering the upland and lowland ecotype.
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