The blaster: A methodology to induce rice lodging at plot scale to study lodging resistance

Shrestha, Suchit Prasad; Laza, M.; Mendez, Kharla V.S.; Bhosale, Sankalp; Dingkuhn, Michaël

doi:10.1016/j.fcr.2019.107663

Cited by 22 publications

(24 citation statements)

References 39 publications

(52 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although this approach is often presented as a measure of root anchorage, one study notes that it is difficult to separate this measure as indicative of root lodging distinct from stalk lodging (Xiao et al, 2015). For example, in rice the bending moment calculated from prostrate testing of the lowest internodes was highly predictive of Blaster‐induced stalk lodging (Shrestha et al, 2020).…”

Section: Methods To Evaluate Root Lodgingmentioning

confidence: 99%

“…This study found that while the artificial wind experiments provide some value to assess lodging resistance, the large size and low‐throughput of the wind source made this an unsatisfactory approach to study lodging. More recent studies have developed wind machines to study lodging in wheat (Sterling et al, 2003), maize (Wen et al, 2019), and rice (Shrestha et al, 2020). In wheat, a wind tunnel was constructed with a portable wooden enclosure and six axial fans mounted on a mobile trailer.…”

Section: Artificial Wind To Evaluate Stalk and Root Lodgingmentioning

confidence: 99%

“…Recently, a device called Blaster—a combination of a wind machine and a rain simulator (Shrestha et al, 2020)—has been developed. The device was applied across 20 rice cultivars and three field seasons, and shows a high prediction of natural stalk lodging when evaluated for a subset of eight genotypes (Shrestha et al, 2020). The bending moment of the lower internodes, as measured by a prostrate tester (see below for additional description of prostrate testers used to evaluate root lodging resistance), was the best single trait predictor of stalk lodging induced by Blaster.…”

Section: Artificial Wind To Evaluate Stalk and Root Lodgingmentioning

confidence: 99%

“…The bending moment of the lower internodes, as measured by a prostrate tester (see below for additional description of prostrate testers used to evaluate root lodging resistance), was the best single trait predictor of stalk lodging induced by Blaster. However, a compound trait, named “lodging resistance index” (bending moment at the internode / [above‐ground fresh weight * culm length]; Ookawa and Ishihara, 1992), was the best predictor of lodging induced by Blaster, with an R 2 of 65–73% depending on wind speed (Shrestha et al, 2020). This study by Shrestha et al (2020) also represents the first comprehensive analysis of wind‐induced stalk lodging compared to natural stalk lodging and provides a solid biological basis for genetic variation in stalk lodging resistance.…”

Section: Artificial Wind To Evaluate Stalk and Root Lodgingmentioning

confidence: 99%

“…Reported wind speeds achieved by the artificial wind sources described above are: 8.5 m/s (up to 10 m/s for gusts) (Sterling et al, 2003), 30 m/s (Wen et al, 2019), 16.7 m/s using Blaster (converted from 60 km/h; Shrestha et al, 2020), and 45 m/s using Boreas (Barrerio et al, 2008). Thus, the wind tunnel of Sterling et al (2003) would likely not generate enough wind speed to evaluate lodging in maize, but is suitable for smaller‐stature crops.…”

Section: Artificial Wind To Evaluate Stalk and Root Lodgingmentioning

confidence: 99%

See 4 more Smart Citations

Field‐based mechanical phenotyping of cereal crops to assess lodging resistance

et al. 2020

View full text Add to dashboard Cite

Plant mechanical failure, also known as lodging, is the cause of significant and unpredictable yield losses in cereal crops. Lodging occurs in two distinct failure modes—stalk lodging and root lodging. Despite the prevalence and detrimental impact of lodging on crop yields, there is little consensus on how to phenotype plants in the field for lodging resistance and thus breed for mechanically resilient plants. This review provides an overview of field‐based mechanical testing approaches to assess stalk and root lodging resistance. These approaches are placed in the context of future perspectives. Best practices and recommendations for acquiring field‐based mechanical phenotypes of plants are also presented.

show abstract

Section: Methods To Evaluate Root Lodgingmentioning

confidence: 99%

Section: Artificial Wind To Evaluate Stalk and Root Lodgingmentioning

confidence: 99%

Section: Artificial Wind To Evaluate Stalk and Root Lodgingmentioning

confidence: 99%

Section: Artificial Wind To Evaluate Stalk and Root Lodgingmentioning

confidence: 99%

Section: Artificial Wind To Evaluate Stalk and Root Lodgingmentioning

confidence: 99%

See 3 more Smart Citations

Field‐based mechanical phenotyping of cereal crops to assess lodging resistance

et al. 2020

View full text Add to dashboard Cite

show abstract

Fewer hills with more seedlings improved lodging resistance of whole hill and yield stability of machine‐transplanted rice

Deng

Zhu

et al. 2023

Agronomy Journal

View full text Add to dashboard Cite

Lodging is a leading cause of yield loss in rice (Oryza sativa L.). To elucidate the effect of field configuration on lodging-related traits at the single-stem and whole hill levels, indica hybrid rice cultivars, Yixiangyou2115 and Shuyou217, were grown under traditional dense planting (30 × 12 cm row-hill spacing) and under fewer hills with more seedlings (30 × 23 cm row-hill spacing) in 2019 and 2020. The results show that there was no significant difference in single-stem lodging index between fewer hills with more seedlings and traditional dense planting, as shown by the similarity in plant height, relative gravity center height, culm wall thickness, culm diameter, and breaking strength. However, compared with traditional dense planting, fewer hills with more seedlings significantly increased the anti-thrust of whole plant and the ventilation rate between whole hills by 45.02%-117.36% and 58.18%-117.39%, respectively. This contributed to the marked improvement in the lodging resistance of whole rice hills, where plant inclination angle and apparent lodging rate were reduced by 41.75%-75.46% and 53.49%-63.33%, respectively. Furthermore, there was no significant difference in grain yield between the two configurations.These results indicate that the field configuration of fewer hills with more seedlings can improve the lodging resistance of whole hills while maintaining the grain yield of machine-transplanted rice.Abbreviations: AWP, anti-thrust of whole plant; FHS, fewer hills with more seedlings; H0, heading stage; H15, 15 days after heading; H30, 30 days after heading; LA, lodging angle; PIA, plant inclination angle; TDP, traditional dense planting; V0, central wind speed of industrial electric fan;

show abstract

Multi-donor × elite-based populations reveal QTL for low-lodging wheat

Dreccer

Macdonald²,

Farnsworth

et al. 2022

Theor Appl Genet

View full text Add to dashboard Cite

Key message Low-lodging high-yielding wheat germplasm and SNP-tagged novel alleles for lodging were identified in a process that involved selecting donors through functional phenotyping for underlying traits with a designed phenotypic screen, and a crossing strategy involving multiple-donor × elite populations. Abstract Lodging is a barrier to achieving high yield in wheat. As part of a study investigating the potential to breed low-lodging high-yielding wheat, populations were developed crossing four low-lodging high-yielding donors selected based on lodging related traits, with three cultivars. Lodging was evaluated in single rows in an early generation and subsequently in plots in 2 years with contrasting lodging environment. A large number of lines lodged less than their recurrent parents, and some were also higher yielding. Heritability for lodging was high, but the genetic correlation between contrasting environments was intermediate-low. Lodging genotypic rankings in single rows did not correlate well with plots. Populations from the highest lodging background were genotyped (90 K iSelect BeadChip array). Fourteen markers on nine chromosomes were associated with lodging, differing under high- versus low-lodging conditions. Of the fourteen markers, ten were found to co-locate with previously identified QTL for lodging-related traits or at homoeologous locations for previously identified lodging-related QTL, while the remaining four markers (in chromosomes 2D, 4D, 7B and 7D) appear to map to novel QTL for lodging. Lines with more favourable markers lodged less, suggesting value in these markers as a selection tool. This study demonstrates that the combination of donor functional phenotyping, screen design and crossing strategy can help identify novel alleles in germplasm without requiring extensive bi-parental populations.

show abstract

The blaster: A methodology to induce rice lodging at plot scale to study lodging resistance

Cited by 22 publications

References 39 publications

Field‐based mechanical phenotyping of cereal crops to assess lodging resistance

Field‐based mechanical phenotyping of cereal crops to assess lodging resistance

Fewer hills with more seedlings improved lodging resistance of whole hill and yield stability of machine‐transplanted rice

Multi-donor × elite-based populations reveal QTL for low-lodging wheat

Contact Info

Product

Resources

About