Study of Correlation Coefficient and Path Analysis Among Yield Parameters of Wheat: A Review

Jaisi, Sushil; Thapa, Ajit; Poudel, Mukti Ram

doi:10.26480/itechmag.03.2021.01.04

Cited by 3 publications

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“…Пшениця озима (Triticum aestivum L.)од на з найцінніших культур для збільшення виробництва зерна, яку вирощують на 220 млн га 15% орних земель світу [1]. На рівень її врожайності та показники якості зерна впливають ґрунтово-кліматичні умови вирощування, біологічні особливості сорту, агротехнічні та інші чинники [2,3]. Максимальні врожаї формуються за оптимального співвідношення всіх вказаних факторів [4].…”

Section: вступunclassified

Yield and quality of winter wheat grain under different cultivation technologies

Zaima,

Derhachov,

Siroshtan

et al. 2024

PVSandP

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Purpose. Study of the influence of preceding crops and sowing terms on the yield and quality of winter wheat grain. Methods. The study analyzed 11 varieties of soft winter wheat, ‘Podolianka’, ‘MIP Yuvileina’, ‘MIP Fortuna’, ‘MIP Roksolana’, ‘MIP Feieriia’, ‘MIP Vidznaka’, ‘MIP Nika’, ‘MIP Darunok’, ‘MIP Aelita’, ‘MIP Aurika’ and ‘MIP Dovira’. The study investigated the impact of preceding crops (soybean, sunflower, corn/MWR, green manure (white mustard), and mustard/seed) and sowing dates (25 September, 5 and 15 October) on grain yield and baking quality. Results. The research was conducted in 2021–2023 on the experimental fields of the V. M. Remeslo Myronivka Institute of Wheat. The weather conditions were characterized by high temperatures and uneven precipitation. The highest winter wheat yields were obtained after green manure as a preceding crop (7.29 t/ha), and the lowest yields after sunflower (5.35 t/ha). Shifting the sowing date from 25 September to 15 October reduced the average yield of the varieties. The only exception to the results were those obtained after crops such as sunflower and mustard when sown on 5th October, which yielded 5.54 and 6.51 t/ha respectively. The highest yields (6.39–6.95 t/ha) were observed for the varieties ‘MIP Darunok’, ‘MIP Aurika’, ‘MIP Aelita’ and ‘MIP Vidznaka’. Higher protein, gluten and sedimentation values were observed after green manure and soya as a preceding crop; in addition, after soya there was a tendency to increase flour strength and bread volume. The aforementioned shift in sowing date also resulted in a decrease in bread volume and an increase in vitreousness; the remaining parameters were within the range of significant differences. The varieties ‘MIP Dovira’, ‘MIP Nika’ and ‘MIP Roksolana’ were characterized by the highest protein content in the grain. According to the complex of quality indicators, ‘MIP Yuvileina’, ‘MIP Roksolana’ and ‘MIP Aurika’ prevailed over others. Conclusions. It was found that green manure and soybean as a preceding crop, as well as optimal sowing dates – the third decade of September and the first of October – provided the maximum yield of the varieties studied. The varieties with the highest yields were ‘MIP Darunok’, ‘MIP Vidznaka’, ‘MIP Aurika’ and ‘MIP Aelita’. According to the complex of grain quality indicators, the varieties ‘MIP Yuvileina’, ‘MIP Roksolana’ and ‘MIP Aurika’ were distinguished.

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Yield and quality of winter wheat grain under different cultivation technologies

Zaima,

Derhachov,

Siroshtan

et al. 2024

PVSandP

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“…Previous research efforts have underscored the complexity of G × E interactions, which requires a thorough examination to garner insightful observations for tailoring breeding strategies. Previous research efforts have highlighted the significant impact of climatic variables on wheat performance, revealing the marked influence of environmental conditions on vital agronomic traits, such as yield, thousand kernel weight (TKW), and spikes per square meter (Spk/m 2 ) [ 3 ]. These findings underscore the imperative for a genotype-specific approach in breeding programs to maximize the inherent potential of different genotypes under varied environmental conditions.…”

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confidence: 99%

Dissecting Genotype by Environment Interactions in Moroccan Wheat: An Advanced Biplot and Heatmap Analysis Unveiling Agronomic, Quality Traits, and Genotypic Stability for Tailored Breeding Strategies

Hnizil,

Baidani,

Khlila

et al. 2024

Plants

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This five-year study (2016–2021) across diverse Moroccan agro-climatic zones investigated genotype by environment (G × E) interactions in wheat, focusing on variations in agronomic traits and quality attributes such as protein and gluten content. Significant environmental effects were observed on key traits, like yield, thousand kernel weight (TKW), and spikes per square meter (Spk/m2), highlighting environmental factors’ role in wheat yield variability. In the Tassaout (TST) location, notable genotypic effects emerged for traits like biomass, underscoring genetic factors’ importance in specific contexts, while in Sidi El Aidi (SEA) and Marchouch (MCH), genotypic effects on yield and its components were predominantly absent, indicating a more substantial environmental influence. These findings illustrate the complexity of G × E interactions and the need for breeding strategies considering genetic potential and environmental adaptability, especially given the trade-offs between yield enhancement and quality maintenance. Insights from the biplot and heatmap analyses enhanced the understanding of genotypes’ dynamic interactions with environmental factors, establishing a basis for strategic genotype selection and management to optimize wheat yield and quality. This research contributes to sustainable wheat breeding in Morocco, aligning with global efforts to adapt wheat breeding strategies to changing climatic conditions.

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Study of correlations between yield and grain quality indicators of varieties and breeding lines of Triticum aestivum L.

Pravdziva,

Vasylenko,

Khoroshko

2023

Plant Varieties Studying and Protection

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Purpose. To determine the correlations between yield and grain quality indicators of varieties and breeding lines of winter bread wheat. Methods. The study was conducted under the conditions of the V. M. Remeslo Myronivka Institute of Wheat NAAS of Ukraine (MIW) during 2019/20–2021/22. Ten new varieties and four breeding lines of winter bread wheat of Myronivka breeding were evaluated. Grain quality indicators were determined in the grain quality laboratory of MIW according to conventional techniques. Pearson’s correlation coefficients (r) were calculated to establish correlations. Results. Correlations with different direction and strength were found between yield and quality indicators of winter bread wheat grain (–0.32 < r < 0.61). During the research years, reliable direct correlation coefficients were obtained between yield and the 1000 kernel weight indicator (r = 0.17–0.46). Also, a reliable linear dependence (r = 0.13–0.61) of yield with water absorption capacity of flour, test weight, grain vitreous, with protein and wet gluten content, but only under certain hydrothermal growing conditions. The varieties and breeding lines of winter bread wheat were identified which, during the years of research, showed stable direct correlations between yield and the indicators of 1000 kernel weight, grain vitreous, protein content, wet gluten content, sedimentation value, dough elasticity index, deformation energy, dough tenacity, water absorption capacity of flour. Conclusion. The selected varieties and breeding lines of winter bread wheat can be used in the breeding process as sources for combining high yield with certain improved quality indicators in one genotype to create competitive varieties.

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Study of Correlation Coefficient and Path Analysis Among Yield Parameters of Wheat: A Review

Cited by 3 publications

References 0 publications

Yield and quality of winter wheat grain under different cultivation technologies

Yield and quality of winter wheat grain under different cultivation technologies

Dissecting Genotype by Environment Interactions in Moroccan Wheat: An Advanced Biplot and Heatmap Analysis Unveiling Agronomic, Quality Traits, and Genotypic Stability for Tailored Breeding Strategies

Study of correlations between yield and grain quality indicators of varieties and breeding lines of Triticum aestivum L.

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