Effect of Genotype, Environment and Their Interaction on Quality Parameters of Wheat Breeding Lines of Diverse Grain Hardness

Surma, M.; Adamski, T.; Banaszak, Zofia; Kaczmarek, Z.; Kuczyńska, Hideyuki; Majcher, Małgorzata; Ługowska, Bogusława; Obuchowskił, Wiktor; Salmanowicz, Bolesław P.; Krystkowiak, Karolina

doi:10.1626/pps.15.192

Cited by 40 publications

(36 citation statements)

References 33 publications

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“…Therefore, care should be given while selecting genotypes for grain yield and grain protein content. The results obtained in this study are in agreement with the findings of Surma (2012), in which grain yield was negatively correlated with protein content, wet gluten and Zeleny sedimentation value. Days to maturity had significant and negative association with number of productive tillers (-0.42 and -0.17), harvest index (-0.34 and -0.19), thousand kernel weight (-0.35 and -0.23), hectoliter weight (-0.49 and -0.27) and grain protein content (-0.30 and -0.27) both at genotypic and phenotypic levels ( Table 4).…”

Section: Correlation Of Grain Yield With Other Characterssupporting

confidence: 92%

“…The positive and significant association of grain yield with biological yield and harvest index had been reported by Kifle et al (2016), Kumar et al (2016) and Ebrahimnejad and Rameeh (2016). The work of Surma et al (2012) showed positive and significant correlation of grain yield with thousand kernel weight, hectoliter weight and starch content. In contrast to the current study result, Singh (2014) reported the presence of negative correlation between grain yield and plant height.…”

Section: Correlation Of Grain Yield With Other Charactersmentioning

confidence: 92%

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Genetic variability, correlation and path analysis of yield and grain quality traits in bread wheat (Tritium aestivum L.) genotypes at Axum, Northern Ethiopia

Meles¹,

Mohammed²,

Tsehaye³

2017

J. Plant Breed. Crop Sci.

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Forty-nine bread wheat genotypes were tested at Axum, Northern Ethiopia in 2016/17, with the objective of assessing the extent of genetic variation, correlation and path analysis of wheat genotypes in yield and grain quality traits using 7 x 7 triple lattice design. Data were collected for 17 agronomic and grain quality characters. For each of the test entries, samples of 500 g grains were taken from each plot for quality analysis. The NIR spectrophotometer (NIR Infratec 1241 Grain analyzer, Sweden) was used to analyze wheat samples for their protein, wet gluten, zeleny sedimentation volume and starch content based on dry weight basis. Data were subjected to analysis of variance which revealed significant differences among the genotypes for all the characters. The genotypic coefficient of variation (GCV) ranged from 1.63 (for starch content) to13.30% (for grain yield). The broad sense heritability (H 2 ) ranged from 15.89 (for number of tillers) to 97.16% (for days to heading), while genetic advance as percent of mean (GAM) from 2.01 (for starch content) to 19.63% (for days to heading). The GCV and phenotypic coefficient of variation (PCV) differences were low in magnitude for days to heading and days to maturity, and H 2 values were coupled with moderate to high GAM. This suggests selection based on phenotype of genotypes could be effective to improve these characters. Grain yield was positively and significantly correlated with biological yield (0.72), harvest index (0.65), plant height (0.51), thousand kernel weight (0.31), hectoliter weight (0.37) and starch content (0.32), of which biomass yield (0.85) and harvest index (0.70) had the highest positive direct effect on grain yield. Thus, selection for higher mean values of biomass yield and harvest index could be considered simultaneously for selection of higher grain yield.

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Section: Correlation Of Grain Yield With Other Characterssupporting

confidence: 92%

Section: Correlation Of Grain Yield With Other Charactersmentioning

confidence: 92%

Genetic variability, correlation and path analysis of yield and grain quality traits in bread wheat (Tritium aestivum L.) genotypes at Axum, Northern Ethiopia

Meles¹,

Mohammed²,

Tsehaye³

2017

J. Plant Breed. Crop Sci.

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“…Surma et al (2012) obtained similar importance to both sources of variation in starch content, alveograph W parameter and test weight. Other authors (Yong et al, 2004) reported genotypic effects larger than year and location for almost all the quality studied traits, excluding thousand kernel weight, test weight and falling number.…”

Section: A Elvas Experiments Climatic Conditionssupporting

confidence: 53%

“…Protein content (whole wheat and flour), wet gluten content and deformation energy (W) are positively correlated as expected (Mladenov et al, 2001;Surma et al, 2012), since protein fraction (amount and type of proteins) is the determinant of bread wheat quality (Mikhaylenko et al, 2000).…”

Section: Relation Between Quality Traitsmentioning

confidence: 58%

“…Some authors reported environmental effects larger than genetic effects for protein content (Peterson et al, 1992;Mladenov et al, 2001;Zhu and Khan, 2001;Surma et al, 2012) and for a wide range of other quality parameters including kernel weight, sedimentation value and rheological behavior determined by mixograph (Peterson et al, 1992;Mikhaylenko et al, 2000). Surma et al (2012) obtained similar importance to both sources of variation in starch content, alveograph W parameter and test weight.…”

Section: A Elvas Experiments Climatic Conditionsmentioning

confidence: 98%

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Influence of year and sowing date on bread wheat quality under Mediterranean conditions

Bagulho

Costa

Almeida

et al. 2015

Emir. J. Food Agric

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Grain quality is an essential component in wheat breeding programs since influences the commercial value of wheat. This study was conducted to determine the effects of genotype, season and sowing date on quality parameters of seventeen bread wheat commercial varieties and three advanced lines from Portuguese Wheat Breeding Program (Plant Breeding Station, Elvas, Portugal) under irrigated Mediterranean systems. Field experiments were conducted at two locations of Southeast Portugal (Elvas and Beja), during two growing seasons. At Elvas, results showed that environment (season) had highest contribution on variation of quality traits. At Beja experiments, the level of environment (season) influence decreased in relation to Elvas experiments: season was the most important factor to explain the variation of protein content and test weight, but for alveograph parameters (W and P/L ratio) it was found that genotype had higher influence. Sowing date was ever the most important factor to explain thousand kernel weight. The results confirmed that genetic potential is crucial to obtain high quality wheat but it is necessary a good environment to promote its expression.

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Genetic variations of bread wheat varieties for bread‐making quality traits in moisture stressed areas of Wollo, Ethiopia

Tessema,

Yimam,

Hailemariam

2024

Agrosystems Geosci & Env

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In Ethiopia, wheat variety development has traditionally prioritized yield and disease resistance over bread‐making quality. To address this gap, our study evaluated 22 Ethiopian bread wheat varieties across six locations during the 2015/2016 season, utilizing a randomized complete block design with three replications. Various quality traits, including 1000‐kernel weight (TKW), hectoliter weight (HLW), Perten hardness index (HI), single kernel weight (SKW), single kernel diameter (SKD), grain protein content (PC), wet gluten (WG), Zeleny value (ZV), and starch content (SC), were analyzed. Significant effects of varieties, locations, and their interactions on these traits were observed (p < 0.01). Madawalabu, Danda'a, and Mekelle‐4 displayed superior TKW (>40 g), while Menze and Bolo exhibited higher HLW. HI values ranged from 82.8% in Sofumar to 35.5% in Mekelle‐3, indicating diverse grain hardness. Favorable milling traits were observed with SKW values exceeding 30 mg and SKD surpassing 2.5 mm. Genotype and location influenced PC (9.5%–11.0%) and WG content (21.6%–25.2%), meeting bread‐making requirements. ZV ranged from 21.9% to 31%, and SC varied from 64% to 68%, reflecting changes in starch concentration between varieties. Varietal performance varied, with Madawalabu, Menze, and Bolo showing promise. Correlation analysis revealed positive associations among HLW, SKD, SKW, TKW, PC, WG, and ZV, and a negative correlation with SC. These insights provide a foundation for targeted breeding strategies to enhance specific attributes crucial for optimal bread quality, contributing valuable information to wheat breeding programs.

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Effect of Genotype, Environment and Their Interaction on Quality Parameters of Wheat Breeding Lines of Diverse Grain Hardness

Cited by 40 publications

References 33 publications

Genetic variability, correlation and path analysis of yield and grain quality traits in bread wheat (Tritium aestivum L.) genotypes at Axum, Northern Ethiopia

Genetic variability, correlation and path analysis of yield and grain quality traits in bread wheat (Tritium aestivum L.) genotypes at Axum, Northern Ethiopia

Influence of year and sowing date on bread wheat quality under Mediterranean conditions

Genetic variations of bread wheat varieties for bread‐making quality traits in moisture stressed areas of Wollo, Ethiopia

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