← Papers

Unverified paper record

Predicting Stem Strength in Diverse Bioenergy Sorghum Genotypes

Crop Science. · 1 Mar 2018 · 10.2135/cropsci2017.09.0588

Abstract

Stem biomechanical properties dictate the mechanical stability of crop plants and ultimately their lodging resistance. This study evaluated stem mechanical, morphological, anatomical, and composition traits to assess their association with historical lodging ratings and developed new approaches to predict stem strength. Significant genotypic variation for stem strength, rigidity, and stiffness existed among 15 bioenergy Sorghum bicolor (L.) Moench genotypes that were selected to represent a range of stem lodging tendencies. Repeatabilities for the mechanical traits ranged from moderate to high across environments (0.58–0.92), high within environments (0.81–0.89), and low to high for maturity groups (0.31–0.89). Lodging rating was moderately correlated with internode density (r = 0.60, P < 0.01), length (r = 0.61, P < 0.01), and rigidity (r = 0.60, P < 0.05). Mechanical traits were highly correlated with morphological traits; correlations with anatomical or composition traits were lower. Using this information, two predictive models were developed. In Model 1, stiffness explained 69% of the total variation for stem strength. In Model 2, a combination of internode density, volume, and stiffness explained 75% of the total variation. Both prediction models were robust and were not confounded by internode number, cultivar type, maturity group, or environment. The results indicate that indirect selection of lodging‐related traits may be possible with the specific use of stiffness as a selective breeding tool to improve lodging resistance.

Plant phenotyping relevance

茎の強度・剛性という植物形質を対象に、予測モデルを開発し、その頑健性を評価しているため、表現型取得・推定手法が中心的です。

abstractdeveloped new approaches to predict stem strength
abstracttwo predictive models were developed
abstractBoth prediction models were robust and were not confounded by internode number, cultivar type, maturity group, or environment.

Code and data availability

公開本文の所在を確認できませんでした。非公開または購読が必要な可能性があります。

No evidence-backed public reproduction asset is currently recorded.

This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.