Lodging stress in cereal—effects and management: an overview

Shah, Adnan Noor; Tanveer, Mohsin; Rehman, Atique ur; Anjum, Shakeel Ahmad; Iqbal, Javaid; Ahmad, Riaz

doi:10.1007/s11356-016-8237-1

Cited by 130 publications

(104 citation statements)

References 106 publications

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“…The variation characteristics of vegetation indices differ with different lodging grades. The texture features can also be extracted based on the GLCM, which reflects the spatial variability of spectral changes of ground objects [66]. The various texture parameters of maize with different lodging grades differ.…”

Section: Discussionmentioning

confidence: 99%

Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image

Sun

Shu

et al. 2019

Plant Phenomics

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Lodging is one of the main factors affecting the quality and yield of crops. Timely and accurate determination of crop lodging grade is of great significance for the quantitative and objective evaluation of yield losses. The purpose of this study was to analyze the monitoring ability of a multispectral image obtained by an unmanned aerial vehicle (UAV) for determination of the maize lodging grade. A multispectral Parrot Sequoia camera is specially designed for agricultural applications and provides new information that is useful in agricultural decision-making. Indeed, a near-infrared image which cannot be seen with the naked eye can be used to make a highly precise diagnosis of the vegetation condition. The images obtained constitute a highly effective tool for analyzing plant health. Maize samples with different lodging grades were obtained by visual interpretation, and the spectral reflectance, texture feature parameters, and vegetation indices of the training samples were extracted. Different feature transformations were performed, texture features and vegetation indices were combined, and various feature images were classified by maximum likelihood classification (MLC) to extract four lodging grades. Classification accuracy was evaluated using a confusion matrix based on the verification samples, and the features suitable for monitoring the maize lodging grade were screened. The results showed that compared with a multispectral image, the principal components, texture features, and combination of texture features and vegetation indices were improved by varying degrees. The overall accuracy of the combination of texture features and vegetation indices is 86.61%, and the Kappa coefficient is 0.8327, which is higher than that of other features. Therefore, the classification result based on the feature combinations of the UAV multispectral image is useful for monitoring of maize lodging grades.

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Section: Discussionmentioning

confidence: 99%

Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image

Sun

Shu

et al. 2019

Plant Phenomics

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“…Jedel and Helm reported higher yield loss when lodging occurred at the milk stage of barley grain development compared to lodging occurring at the hard‐dough stage. Further, lodging may lead to problems in mechanical harvesting of the crop . Several studies have reported that grain quality can also be degraded by negative effects of lodging on grain size and specific weight .…”

Section: Introductionmentioning

confidence: 99%

“…plant height, stem diameter, stem wall thickness, and composition) are associated with lodging susceptibility of cereal grains, plant breeders integrate these traits in development of lodging‐resistant cereal varieties. In addition, different agronomic approaches, such as tillage system, sowing time, seeding rate, nutrient application, and use of plant growth regulators (PGRs), have been shown to reduce lodging …”

Section: Introductionmentioning

confidence: 99%

“…Further, lodging may lead to problems in mechanical harvesting of the crop. 4 Several studies have reported that grain quality can also be degraded by negative effects of lodging on grain size and specific weight. 5,6 Jedel and Helm 2 further reported some reduction in kernel weight and an increased number of thin kernels for a tall barley (cv Johnson) when subjected to lodging treatment.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, different agronomic approaches, such as tillage system, sowing time, seeding rate, nutrient application, and use of plant growth regulators (PGRs), have been shown to reduce lodging. 4 PGRs are synthetic compounds that can modify plant growth and development. They can reduce lodging by producing shorter, thicker, and stronger stems.…”

Section: Introductionmentioning

confidence: 99%

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Effects of plant growth regulator application on the malting quality of barley

McMillan¹,

Tidemann

O’Donovan

et al. 2020

J Sci Food Agric

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BACKGROUND Lodging can negatively affect yield and quality of barley grain. Synthetic plant growth regulators (PGRs) reduce lodging by producing shorter, thicker, and stronger stems. However, the impact of applying PGRs on malting performance of barley is not known. The objective of this work was to assess the effect of application of three PGRs (ethephon, chlormequat chloride, and trinexapac‐ethyl) in combination with different seeding rates on the malting quality of barley grown in several locations and years in western Canada. RESULTS The kernel weight in PGR‐treated barley was reduced by 1.7% to 6.5% compared with the nontreated grain. Application of PGRs had no effect on the concentration of proteins and germination energy. Seeding rates significantly affected kernel weight, protein content, and germination index (GI), but no interactions between PGRs and seeding rates were observed. The smaller kernels of ethephon‑ and trinexapac‐treated barley showed good hydration and grain modification during malting, as indicated by high levels of starch‐converting enzymes, high Kolbach indices, and low levels of wort β‐glucans. Overall, the fine extract of malt from PGR‐treated barley was slightly lower than that of the control malt; however, the extract reduction was statistically significant only for chlormequat‑ and trinexapac‐treated barley. CONCLUSIONS The application of PGRs had significant effects on kernel plumpness and kernel weight, but the effects of PGR application on the malting quality were generally small and insignificant. The decision of PGRs application on malting barley needs to be considered in combination with potential benefits of PGRs in mitigating lodging and their effects on the agronomic performance of barley. © Her Majesty the Queen in Right of Canada 2019

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Simulation of Climate Change Effects on Evapotranspiration, Photosynthesis, Crop Growth, and Yield Processes in Crop Models

Kersebaum,

Stöckle

2022

Modeling Processes and Their Interactions in Cropping Systems

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Lodging stress in cereal—effects and management: an overview

Cited by 130 publications

References 106 publications

Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image

Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image

Effects of plant growth regulator application on the malting quality of barley

Simulation of Climate Change Effects on Evapotranspiration, Photosynthesis, Crop Growth, and Yield Processes in Crop Models

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