Stalk Bending Strength is Strongly Associated with Maize Stalk Lodging Incidence Across Multiple Environments
Stalk Bending Strength is Strongly Associated with Maize Stalk Lodging Incidence Across Multiple Environments
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DOI：
10.1016/j.fcr.2020.107737
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发表时间：
2020-04-01
影响因子：
5.8
通讯作者：
Robertson, Daniel J.
中科院分区：
文献类型：
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作者：
Sekhon, Rajandeep S.;Joyner, Chase N.;Robertson, Daniel J.
玉米茎秆倒伏在世界范围内造成大量产量损失。这些损失可以通过遗传改良来防止。然而，育种工作和遗传学研究的阻碍缺乏一个强大的和经济的表型方法来评估茎倒伏抗性。最近开发了一种基于田间的表型分析平台，其诱导与自然茎倒伏事件一致的失效模式并测量田间生长植物中的茎弯曲强度。在这里，我们研究了从这个新的表型平台收集的数据与47个代表遗传多样性子集的玉米杂交种的茎秆倒伏发生率之间的关联。为了比较的目的，我们研究了四个额外的预测表型通常被认为是相关的秸秆倒伏阻力，即，果皮抗倒伏性（a.k.a.果皮抗穿刺性）、纤维素、半纤维素和木质素。倒伏发生率数据收集了47个杂交种，生长在98个不同的环境，跨越四年和41个独特的地理位置在北美。使用贝叶斯广义线性混合效应模型，我们表明，秸秆倒伏的发病率与每五个预测表型。此外，基于联合分析，我们证明，在所考虑的表型中，通过新的表型平台测量的茎弯曲强度是玉米中自然发生的茎倒伏发生率的最强预测表型，其次是果皮硬度计抗性和纤维素含量。这项研究表明，基于字段的测量秸秆弯曲强度提供了一个可靠的估计秸秆倒伏的发病率。从新的表型平台获得的秸秆弯曲强度数据将是有价值的育种计划中的表型选择，并为产生机理的见解秸秆抗倒伏的遗传调控。
Stalk lodging in maize results in substantial yield losses worldwide. These losses could be prevented through genetic improvement. However, breeding efforts and genetics studies are hindered by lack of a robust and economical phenotyping method for assessing stalk lodging resistance. A field-based phenotyping platform that induces failure patterns consistent with natural stalk lodging events and measures stalk bending strength in field-grown plants was recently developed. Here we examine the association between data gathered from this new phenotyping platform with counts of stalk lodging incidence on 47 maize hybrids representing a subset of genetic diversity. For comparative purposes, we examine four additional predictive phenotypes commonly assumed to be related to stalk lodging resistance; namely, rind penetrometer resistance (a.k.a. rind puncture resistance), cellulose, hemicellulose, and lignin. Lodging incidence data were gathered on 47 hybrids, grown in 98 distinct environments, spanning four years and 41 unique geographical locations in North America. Using Bayesian generalized linear mixed effects models, we show that stalk lodging incidence is associated with each of the five predictive phenotypes. Further, based on a joint analysis we demonstrate that, among the phenotypes considered, stalk bending strength measured by the new phenotyping platform is the strongest predictive phenotype of naturally occurring stalk lodging incidence in maize, followed by rind penetrometer resistance and cellulose content. This study demonstrates that field-based measurements of stalk bending strength provide a reliable estimate of stalk lodging incidence. The stalk bending strength data acquired from the new phenotyping platform will be valuable for phenotypic selection in breeding programs and for generating mechanistic insights into the genetic regulation of stalk lodging resistance.