Wen Weiliang, Gu Shenghao, Xiao Boxiang, Wang Chuanyu, Wang Jinglu, Ma Liming, Wang Yongjian, Lu Xianju, Yu Zetao, Zhang Ying, Du Jianjun, Guo Xinyu
Beijing Research Center for Information Technology in Agriculture, Beijing, 100097 China.
2Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, 100097 China.
Plant Methods. 2019 Aug 20;15:96. doi: 10.1186/s13007-019-0481-1. eCollection 2019.
Stalk lodging is an impediment to improving profitability and production efficiency in maize. Lodging resistance, a comprehensive indicator to appraise genotypes, requires both characterization of mechanical properties in laboratory and investigation of lodging percentage in field. However, in situ characterization of maize lodging resistance still remains poor. The aim of this study was to develop an indicator, named cumulative lodging index (CLI), based on lodging percentages at different wind speeds for evaluating lodging resistance for different maize cultivars, and to evaluate the accuracy and reliability of this method.
Different cultivars showed different patterns of lodging percentage along with wind speeds. The failure wind speed (FWS) for maize ranged between 16 and 30 m s across cultivars. The CLI differed between maize cultivars and showed favorable reliability (i.e. nRMSE of 5.38%). Mechanical properties of the third internode did not vary significantly between cultivars. Significant differences in the reduction index (RI) of wind speed sheltered by maize canopy were found between cultivars.
Our findings implied that mobile wind machine is powerful in reproducing wind disaster that induce crop lodging. The newly-built CLI was demonstrated to be a more robust indicator than mechanical properties, FWS, and RI when evaluating lodging resistance in terms of both reliability and resolution. This study offers a new perspective for evaluating in situ lodging resistance of crops, and provides technical support for accurate identification of lodging-resistant phenotypic traits.
茎倒伏是提高玉米盈利能力和生产效率的一个障碍。抗倒伏性是评估基因型的一个综合指标,既需要在实验室中对机械性能进行表征,也需要在田间调查倒伏率。然而,玉米抗倒伏性的原位表征仍然很差。本研究的目的是基于不同风速下的倒伏率开发一种名为累积倒伏指数(CLI)的指标,用于评估不同玉米品种的抗倒伏性,并评估该方法的准确性和可靠性。
不同品种的倒伏率随风速呈现不同模式。不同品种玉米的致倒风速(FWS)在16至30米/秒之间。CLI在不同玉米品种间存在差异,且具有良好的可靠性(即归一化均方根误差为5.38%)。不同品种间第三茎节的机械性能没有显著差异。不同品种间玉米冠层遮蔽风速的降低指数(RI)存在显著差异。
我们的研究结果表明,移动风洞在再现导致作物倒伏的风灾方面具有强大作用。在评估抗倒伏性时,无论是可靠性还是分辨率方面,新建立的CLI都被证明是比机械性能、FWS和RI更稳健的指标。本研究为评估作物原位抗倒伏性提供了新的视角,并为准确鉴定抗倒伏表型性状提供了技术支持。