Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes

Stojšin, Mirela Matković; Zečević, Veselinka; Petrović, Sonja; Dimitrijević, Miodrag; Mićanović, Danica; Banjac, Borislav; Knežević, Desimir

doi:10.2298/gensr1803817m

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…In order to obtain more accurate results on the inter-relationship of analyzed traits, the genotypic and phenotypic correlations were calculated (Table 5 and Table 6). On both localities, values of genotypic correlations were higher compared to values of phenotypic correlations, showing the existence of inherent association among the traits, which is in line with results presented by Munir et al (2007), Ajmal et al (2009), Nukasani et al (2013), Marker (2016a), andMatković Stojšin et al (2018). Plant height had significant and negative correlations with all analyzed traits, at the genotypic and phenotypic levels, except with spike length (rg = 0.629 ** , rp = 0.422 * ).…”

Section: Resultssupporting

confidence: 89%

Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments

Stojšin¹,

Petrović²,

Banjac³

et al. 2022

Acta agriculturae Serbica

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Various statistical methods were applied in this research: analysis of genetic parameters, Pearson's correlation, genotypic and phenotypic correlations, and Path analysis, with the aim of creating a selection criterion for increasing wheat grain yield. A two-year experimental study was conducted with twenty-seven wheat genotypes, grown on two localities: Rimski Šančevi (Bačka, Vojvodina), on Chernozem soil type; and Kumane (Banat, Vojvodina), on Solonjec soil type. The highest values of phenotypic coefficient of variation (CVp) had the grain weight per plant (17.44% on Chernozem and 13.81% on Solonetz), while the lowest value of CVp had the thousand grain weight (8.12% on Chernozem and 5.47% on Solonetz). On Chernozem, the value of the genotypic coefficient of variation (CVg) ranged from 1.51%, in the number of grains per spike, to 9.17% in the spike length, while on Solonetz, grain weight per plant had the lowest value of CVg (0.36%) and plant height the highest one (11.15%). At both localities, grain yield was in highly significant and positive correlations with all analyzed traits, except with plant height and spike length. In favorable environmental conditions (Chernozem), Path analysis revealed that grain yield directly depends on grain weight per spike (0.317**), number of grains per spike (0.232**) and spike weight (0.209**), and other analyzed traits have a positive indirect effect on grain yield over mentioned traits. Under salinity stress conditions, the grain weight per plant had the highest direct effect on grain yield (0.891**), which makes this trait a good selection criterion in breeding for salinity stress tolerance.

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Section: Resultssupporting

confidence: 89%

Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments

Stojšin¹,

Petrović²,

Banjac³

et al. 2022

Acta agriculturae Serbica

Self Cite

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“…The great influence of the external environment on the grain mass per ear, and the number of grains per ear, has been confirmed by the research of [43,46], as has the high difference between the phenotypic and genotypic coefficient of variation, especially for grain mass per ear, indicating the greater influence of the environment. Dimitrijević, et al [47], Knežević, et al [16], Knežević, et al [17], and Matković Stojšin, et al [48], found a high share of the environment in the variation of grain mass per ear. Similar results were obtained by Matković Stojšin, et al [42], for ear mass.…”

Section: The External Environment: Sculptor Of Genetic Expression Of ...mentioning

confidence: 99%

Phenotypic Variability of Wheat and Environmental Share in Soil Salinity Stress [3S] Conditions

et al. 2022

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Through choosing bread wheat genotypes that can be cultivated in less productive areas, one can increase the economic worth of those lands, and increase the area under cultivation for this strategic crop. As a result, more food sources will be available for the growing global population. The phenotypic variation of ear mass and grain mass per ear, as well as the genotype × environment interaction, were studied in 11 wheat (Triticum aestivum L.) cultivars and 1 triticale (Triticosecale W.) cultivar grown under soil salinity stress (3S) during three vegetation seasons. The results of the experiment set on the control variant (solonetz) were compared to the results obtained from soil reclaimed by phosphogypsum in the amount of 25 t × ha−1 and 50 t × ha−1. Using the AMMI analysis of variance, there was found to be a statistically significant influence of additive and non-additive sources of variation on the phenotypic variation of the analyzed traits. Although the local landrace Banatka and the old variety Bankut 1205 did not have high enough genetic capacity to exhibit high values of ear mass, they were well-adapted to 3S. The highest average values of grain mass per ear and the lowest average values of the coefficient of variation were obtained in all test variants under microclimatic condition B. On soil reclaimed by 25 t × ha−1 and 50 t × ha−1 of phosphogypsum, in microclimate C, the genotypes showed the highest stability. The most stable genotypes were Rapsodija and Renesansa. Under 3S, genotype Simonida produced one of the most stable reactions for grain mass per ear.

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Impacts of the war on prices of Ukrainian wheat

Novotná,

Rowland,

Janek

2023

AGR ECON-CZECH

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The Russian-Ukrainian armed conflict significantly affected wheat production and its export from Ukraine, mainly during the war outbreak. Since both countries rank among the major global wheat producers, the warfare disrupted wheat supplies, hastily pushing the prices. Based on the analysed data, we carried out research using multilayer perceptron networks. The findings suggest the biggest price increase between February and March 2022, witnessing wheat prices at about 1 400 USD per t. We predict a decline to the pre-war values until the end of 2025, estimating its rates between 600 USD and 800 USD per t. This price slump may involve signing an agreement on unblocking Ukrainian seaports, which would restore wheat exports. Yet, our survey is confined to historical data, which do not suggest any dramatic event that would alarmingly sway wheat prices.

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Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes

Cited by 5 publications

References 12 publications

Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments

Development of selection criteria for improving grain yield in wheat grown in different agro-ecological environments

Phenotypic Variability of Wheat and Environmental Share in Soil Salinity Stress [3S] Conditions

Impacts of the war on prices of Ukrainian wheat

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