Grain size variation in two-rowed malt barley under Mediterranean conditions: Phenotypic plasticity and relevant trade-offs

Vahamidis, Petros; Stefopoulou, Angeliki; Kotoulas, Vassilis; Bresta, Panagiota; Nikolopoulos, Dimosthenis; Karabourniotis, George; Mantonanakis, Georgios; Vlachos, Christos; Dercas, Nicholas; Economou, George

doi:10.1016/j.fcr.2022.108454

Cited by 5 publications

(12 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Vahamidis et al. (2022) also found plump to have higher plasticity than TKW (and yield) in two‐row malting barley produced in Mediterranean climates, suggesting that TKW could be a less plastic proxy trait for use by breeders (and one that was also weakly positively correlated with yield in the present study)—with continued and routine monitoring of relationships between these traits.…”

Section: Resultssupporting

confidence: 61%

“…In the range of TKW observed in the samples in this study (predominantly less than 47 g), TKW and plump showed a positive relationship in Vahamidis et al. (2022) (in the >2.5, 2.5–2.6, and >2.6 mm ranges for grain size). Vahamidis et al.…”

Section: Resultssupporting

confidence: 57%

“…The finding of TKW and plump % being among the strongest positively correlated traits (r = 0.65) suggests that measurements of TKW could be helpful to breeders and agronomists as an indirect assay for plump (e.g., if data for TKW is readily available for more genotypes and/or environments). In the range of TKW observed in the samples in this study (predominantly less than 47 g), TKW and plump showed a positive relationship in Vahamidis et al (2022) (in the >2.5, 2.5-2.6, and >2.6 mm ranges for grain size). Vahamidis et al (2022) also found plump to have higher plasticity than TKW (and yield) in two-row malting barley produced in Mediterranean climates, suggesting that TKW could be a less plastic proxy trait for use by breeders (and one that was also weakly positively correlated with yield in the present study)-with continued and routine monitoring of relationships between these traits.…”

Section: Trait Relationships (Correlations and Principal Component An...supporting

confidence: 43%

“…The correlations between yield and GPC, and plump % and GPC, are generally accepted to be negative in malting barley (Fox, 2009; Vahamidis et al., 2022; Yu et al., 2017). However, newer studies have shown that potential explanations for this negative correlation could be due to nitrogen availability (Magliano et al., 2014) and/or tiller formation (Hu et al., 2021).…”

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Effects of genotype and environment on productivity and quality in Californian malting barley

Ramanan¹,

Nelsen²,

Lundy³

et al. 2023

Agronomy Journal

View full text Add to dashboard Cite

Malting barley (Hordeum vulgare L.) productivity and grain quality are of critical importance to the malting and brewing industry. In this study, we analyzed 12 malting barley genotypes across eight locations in California and three years (2017‐18, 2018‐19 and 2020‐21). The effects of genotype (G), location (L), year (Y) and their interactions were assessed on grain yield (kg ha −1), grain protein content (GPC; %), individual‐grain weight (mg), thousand kernel weight (TKW; g), grain size (plump and thin; %), onset gelatinization temperature (GT; temperature at which starch starts to gelatinize), peak GT, offset GT, difference between onset and peak GT and difference between peak and offset GT. L, Y and their interaction explained the largest variance for all traits except TKW, peak GT, and difference between onset and peak GT, for which G explained the largest variance. Yield and plump (%) were weakly negatively correlated with onset and peak GT (Pearson's r of ‐0.15 to ‐0.21) but showed a positive correlation with the difference between peak and offset GT (Pearson's r of 0.37 and 0.36). The 2020‐21 samples formed partially distinct clusters in principal component analysis, mainly discriminated by high percentage of thins and high onset GT. These findings illustrate the key roles of G, L and Y in determining malting barley productivity and quality.This article is protected by copyright. All rights reserved

show abstract

Section: Resultssupporting

confidence: 61%

Section: Resultssupporting

confidence: 57%

Section: Trait Relationships (Correlations and Principal Component An...supporting

confidence: 43%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Effects of genotype and environment on productivity and quality in Californian malting barley

Ramanan¹,

Nelsen²,

Lundy³

et al. 2023

Agronomy Journal

View full text Add to dashboard Cite

show abstract

“…However newer studies have shown that potential explanations for this negative correlation could be due to nitrogen availability (Magliano et al, 2014) and/or tiller formation (Hu et al, 2021). The negative correlation between peak GT and percentage of plump grains is expected as it has been previously established that plump grains also contain an overall higher extractable starch content, therefore requiring a higher peak GT to hydrolyze the starch (Andersson et al, 1999;Vahamidis et al, 2022).…”

Section: Trait Relationships (Correlations and Principal Component An...mentioning

confidence: 94%

Effects of Genotype and Environment on Productivity and Quality in Californian Malting Barley

Ramanan

Nelsen

Lundy

et al. 2022

Preprint

View full text Add to dashboard Cite

Malting barley productivity and grain quality are of critical importance to the malting and brewing industry. In this study, we analyzed two experiments: a multi-environment variety trial and a nitrogen management trial. In the first experiment, we analyzed 12 malting barley genotypes across eight locations in California and three years (2017-18, 2018-19 and 2020-21). The effects of genotype (G), location (L), year (Y) and their interactions were assessed on grain yield (kg ha-1), grain protein content (GPC; %), individual-grain weight, grain size (plump and thin; %), onset gelatinization temperature (GT), peak GT, offset GT, difference between onset and peak GT and difference between peak and offset GT. L, Y and their interaction explained the largest variance for all traits except peak GT and difference between onset and peak GT, for which G explained the largest variance. The 2020-21 samples formed partially distinct clusters in principal component analysis, mainly discriminated by high percentage of thin grains and high onset GT. In the second experiment, we analyzed a dataset with two genotypes across three locations (with varying nitrogen fertilizer levels) from the 2016-17 season to assess the effect of added nitrogen on the same traits. Added nitrogen at tillering explained 18% of variance in the difference between onset and peak GT, and 5% of the variance in GPC, but was minimal for all other traits, with the largest variance explained by location and genotype. These findings illustrate the key roles of G, L and Y in determining malting barley productivity and quality.

show abstract

Higher stability of oat, barley and wheat accessions in their 1000 grain weight is not associated with a smaller grain size

Polonskiy

Сумина

Герасимов

et al. 2023

Trudy po prikladnoy botanike, genetike i selektsii

View full text Add to dashboard Cite

Background. It is important and relevant to know whether the selection among cultivars for increased stability in the weight of 1000 grains involves a significant change in grain size. The aim of the study was to analyze the relationship between the 1000 grain weight in oat, barley and wheat accessions, on the one hand, and their adaptability indicators for this trait, on the other. Material and methods. The studied material included 10 cultivars of oat, 12 of barley, and 11 of wheat from the VIR collection. Plants were grown in 2021 at five different sites over Eastern Siberia (Krasnoyarsk Territory, and the Republic of Khakassia and Tyva). After harvesting, the weight of 1000 grains was measured for each cultivar. The coefficient of environmental variation (Cv), stress tolerance index (d), homeostasis parameter (Hom), stability level index (CSL), and breeding value index (Cs) were determined to assess the cultivars for the analyzed character. Results. Oat cultivars exhibited significantly lower plasticity and higher stability in their 1000 grain weight. The best adaptability characteristics were recorded for oat cvs. ‘Argument’ and ‘Kross’, barley cvs. ‘Krasnoyarsky 91’ and ‘Biom’, and wheat cvs. ‘Novosibirskaya 49’ and ‘Novosibirskaya 75’. Cvs. ‘Kross’ and ‘Argument’ (oat). and ‘Biom’ (barley) had the largest grain size and maximum values of the character’s stability parameters. Correlations of oat and wheat grain size with both plasticity indices were negative, and positive with all stability parameters, being significant for CSL and Cs. In the case of barley cultivars, the correlation between the weight of 1000 grains and the plasticity index was negative and statistically significant. Conclusion. The results demonstrate that when selecting oat, barley and wheat for increased stability of their 1000 grain weight, the grain size will not decrease. Moreover, it may have a tendency to increase.

show abstract

Grain size variation in two-rowed malt barley under Mediterranean conditions: Phenotypic plasticity and relevant trade-offs

Cited by 5 publications

References 80 publications

Effects of genotype and environment on productivity and quality in Californian malting barley

Effects of genotype and environment on productivity and quality in Californian malting barley

Effects of Genotype and Environment on Productivity and Quality in Californian Malting Barley

Higher stability of oat, barley and wheat accessions in their 1000 grain weight is not associated with a smaller grain size

Contact Info

Product

Resources

About