Genotypic And Phenotypic Correlation And Path Analysis In Durum Wheat (Triticum turgidum L. var. durum)

Khan, A. A.; Alam, Md. Khairul; Alam, M. S.; Alam, MJ; Sarker, ZI

doi:10.3329/bjar.v38i2.15885

Cited by 18 publications

(16 citation statements)

References 5 publications

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“…Similar results were also reported by Khan et al (2013) and Tadesse et al (2016). Higher magnitude of genotypic correlation helps in selection for genetically controlled characters and gives a better response for seed yield improvement than that would be expected on the basis of phenotypic association alone (Robinson et al 1951).…”

Section: Correlation Coefficient Analysissupporting

confidence: 75%

Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

Bhanu

Singh

Tharu

et al. 2017

IJARe

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Fifty three germplasm of chickpea were undertaken to determine relationships among yield and some yield components using direct (variability, heritability, and genetic advance) and indirect selection parameters (correlation and path coefficient analysis). The present investigation was carried out at the Agriculture Research Farm of Institute of Agricultural Sciences, Banaras Hindu University, Varanasi during the rabi season of 2011-12. Significant genetic variations were observed among the genotypes for days to flower, days to maturity, plant height, number of branches plant -1 , number of pods plant -1 , 100-seed weight and seed yield plant -1 . Correlation studies revealed that seed yield was positively and significantly correlated with number of primary branches, number of secondary branches and number of pods plant -1. The path coefficient analysis based on seed yield, as a dependent variable, showed that pods plant -1 had the greatest direct effect on seed yield (0.81) followed by number of secondary branches. Both correlation and path analysis indicated that pods plant -1 and number of secondary branches were the major direct contributors to seed yield.

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Section: Correlation Coefficient Analysissupporting

confidence: 75%

Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

Bhanu

Singh

Tharu

et al. 2017

IJARe

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“…Increasing in traits PLH, SL, TKW and PL can improve GY potential in durum wheat genotypes. Golparvar et al (2006), De Vita et al (2007 and Khan et al (2013) have reported relatively similar results for breeding these traits that are emphasised in this research for genetic improvement of GY. Also, the studied durum wheat genotypes would probably have evolved to highlight the most efficient mechanisms for GY production under water-stressed conditions.…”

Section: Discussionsupporting

confidence: 53%

“…In addition, breeding under marginal environments has indicated that some agronomical traits when mea-T a b l e 6 Summary of factors loading for measured traits of durum wheat genotypes in both non-stressed and water-stressed conditions Abbreviations see Table 1 Non-stressed condition Water-stressed condition sured in drought-stressed condition were associated with yield performance in durum-wheat growing regions worldwide (Zarei et al 2013). Morphological traits associated with increased GY potential in durum wheat include yield components and harvest index (Khan et al 2013). We found, while TKW can be used as a guide to selection, the other traits are less effective.…”

Section: Discussionmentioning

confidence: 87%

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Analysis of Some Agronomic Traits of Durum Wheat Under Dryland and Supplemental Irrigation Conditions

Afrooz¹,

Sabaghnia²,

Karimizadeh³

et al. 2014

Agriculture (Pol'nohospodárstvo)

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Knowledge about the extent of variability and the association among traits are of a high value for any breeding efforts. The objective of this investigation is to evaluate the agro-morphological traits in a set of durum wheat genotypes under supplemental irrigation and dry land conditions. Results showed that principal component (PC) analysis had grouped the measured traits into four main components that altogether accounted for 77% of the total variation under non-stressed condition and 87% under water-stressed condition. With regard to the first four PCs, peduncle length, agronomic score, grain yield, vigority, test weight, days to physiological maturity and thousand kernel weight have shown to be the most important variables affecting the performance of durum wheat under non-stressed condition. In the first four PCs at the water- stressed condition, agronomic score, grain yield, vigority, days to physiological maturity, test weight and peduncle length have been shown to be the important variables under water-stressed condition. The results of factor analysis relatively confirmed the results of PC analysis. Our findings indicated that a selection strategy should take into consideration of agronomic score and days to physiological maturity under non-stressed condition while plant height and spike length under water-stressed condition. Therefore, the above-mentioned traits could be used as indirect selection criteria for genetic improvement of grain yield in durum wheat, especially in early generations of breeding programmes

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“…Many studies on wheat productivity have attributed yield gains to a number of parameters. Yield component concept in breeding has much importance in improving yield potentiality (Khan et al, 2013). Some studies indicated that the component most affecting wheat productivity is grain number per spike (Avcin et al, 1997) and grain number per square meter (Donmez et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of agronomic traits and assessment of genetic variability in some popular wheat genotypes cultivated in Saudi Arabia

Al-Otayk

2019

Aust J Crop Sci

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The present study was carried out to evaluate agronomic traits and assessment of genetic variability of some wheat genotypes at Qassim region, Saudi Arabia, during 2010/11 and 2011/12 seasons. Fourteen wheat genotypes including five bread wheat and nine durum wheat genotypes were evaluated in randomized complete block design with three replications. The genotypes were evaluated for ten different yield contributing characters viz., days to heading, days to maturity, grain filling period, grain filling rate, plant height, number of spikes m -2 , kernels spike -1 , 1000-kernel weight, grain yield and straw yield. The combined analysis of variance indicated the presence of significant differences between years for most characters. The genotypes exhibited significant variation for all the characters studied, indicating considerable amount of variation among genotypes for each character. Maximum coefficient of variation was observed for number of spikes m -2 (17%), while minimum value was found for days to maturity. Four genotypes produced statistically similar maximum grain yield, out of them two bread wheat genotypes (AC-3 and SD12) and the other two were durum wheat (AC-5 and BS-1). The genotypes AC-3, AC-5 and BS-1 had higher grain yield and stable in performance across seasons. The estimation of phenotypic coefficient of variation in all the traits studied was greater than those of the genotypic coefficient of variation. High heritability estimates (> 0.5) were observed for days to heading, days to maturity and plant height, while the other characters recorded low to moderate heritability. The high GA % for plant height and days to heading (day) was accompanied by high heritability estimates, which indicated that heritability is mainly due to genetic variance. Comparatively high expected genetic advances were observed for grain yield components such as number of kernels spike -1 and 1000-kernel weight. Grain yield had the low heritability estimate with a relatively intermediate value for expected genetic advance. The results of principle component analysis (PCA) indicated that the superior durum wheat genotypes for grain yield in the two seasons (AC-5 and BS-1) are clustered in group II (Fig. 2). Also, the superior two bread wheat genotypes (AC-3 and SD12) were in group I.

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Genotypic And Phenotypic Correlation And Path Analysis In Durum Wheat (Triticum turgidum L. var. durum)

Cited by 18 publications

References 5 publications

Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

Analysis of Some Agronomic Traits of Durum Wheat Under Dryland and Supplemental Irrigation Conditions

Evaluation of agronomic traits and assessment of genetic variability in some popular wheat genotypes cultivated in Saudi Arabia

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