Correlation and Path Analysis Studies in Barley (Hordeum vulgare L.) Genotypes under Normal and Limited Moisture Conditions

Shrimali, Jaya; Shekhawat, A.S.; Kumari, Sunita

doi:10.20546/ijcmas.2017.608.218

Cited by 10 publications

(16 citation statements)

References 5 publications

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“…Direct negative effect on yield was shown by plant height (-0.32) and effective tiller/plant (-0.74). It was also supported by Shrimali et al (2017) at phenotypic and genotypic level respectively. This was an indication of indirect selection.…”

Section: Path Coefficient Analysismentioning

confidence: 69%

“…Grain/spike showed the maximum positive correlation with yield (0.84). Shrimali et al (2017) also found that days to flowering, days to maturity, spike length, no. of effective tillers/plant and yield per plant had high positive direct effects on yield which was also in agreement with the studies of Mittal et al (2009), Kundalia et al (2006) and Najeeb et al (2004).…”

Section: Path Coefficient Analysismentioning

confidence: 89%

“…Grafius (1964) showed grains/spikes, spike number/m 2 and kernel weight /spike determined the yield of barley. Shrimali et al(2017), Singh et al (1987), Carpici and Celik (2012) mentioned spike length had positive correlation with yield. In many case, genotypic correlation recorded higher than phenotypic correlation which revealed that the association was due to genetic reason (strong coupling phase) (Sharma ,1988).…”

Section: Genotypic and Phenotypic Correlation Coefficients With Yieldmentioning

confidence: 97%

“…It serves as a major animal fodder, as base As yield is complex and dependent character, and influenced by many independent characters so, improvement in yield depends upon the improvement of its component characters. The correlation coefficient ensures the degree of association, genetic or non-genetic relationship between two or more characters that forms the basis for selection (Shrimali et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Genetic Variability and Path Analysis Studies in Barley (Hordeum vulgare L.)

Matin

Amiruzzaman

Billah

et al. 2019

Int J Appl Sci Biotechnol

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The present study was carried out to investigate the correlation coefficient, path analysis and genetic variability among some barley varieties for nine characters in a Randomize Block Design (RBD) with three replications in three environments of Bangladesh. High genotypic coefficient of variation (GCV) was obtained from grain/ spike (29.89 %), yield/ plant (28.72%) and effective tiller/plant (21.86 %) and spike length (13.56 %). The characters with high GCV indicated high potential for selection. The highest heritability (Hb) was observed for 1000 seed weight (95.09) followed by yield/ plant (93.98), grain/ spike (92.09) and spike length (69.93), days to heading (72.65) but the lowest Hb was identified for effective tiller/plant (22.41) followed by the plant height (34.21). Those traits with higher heritability may be considered for selection. Grain/ spike had the highest positive direct effect (5.65) on yield followed by 1000 seed weight (4.65), spike length (1.26), yield/ plant (0.66), days to heading (0.55) and days to maturity (0.34). These parameters were identified as direct selection. Direct negative effect on yield was shown by plant height (-0.32) and effective tiller/plant (-0.74). This was an indication of indirect selection. Int. J. Appl. Sci. Biotechnol. Vol 7(2): 243-247

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Section: Path Coefficient Analysismentioning

confidence: 69%

Section: Path Coefficient Analysismentioning

confidence: 89%

Section: Genotypic and Phenotypic Correlation Coefficients With Yieldmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Genetic Variability and Path Analysis Studies in Barley (Hordeum vulgare L.)

Matin

Amiruzzaman

Billah

et al. 2019

Int J Appl Sci Biotechnol

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“…Вплив умов вирощування на взаємозалежність ознак ячменю ярого показано також і в дослідженнях індійських учених з ячменем за нормального та недостатнього зволоження. Загальним для обох варіантів була позитивна кореляція продуктивності з продуктивною кущистістю, висотою рослин, довжиною колоса, кількістю колосків у колосі, масою 1000 зерен; кількості колосків у колосі з довжиною колоса; маси 100 зерен з висотою рослин [8].…”

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Variability of performance and its structural elements in spring barley cultivars

Зимогляд¹

2019

Plant Breeding and Seed Production

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Stomatal Traits and Barley (Hordeum vulgare L.) Forage Yield in Drought Conditions of Northeastern Mexico

Foroughbakhch

Alejandra

Manuel

et al. 2021

Plants

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Infrared technology is a practical, fast, non-destructive method that helps in forecasting plant development and can be used to select physiological traits, instead of other methodologies that require more time and breeding efforts. According to the statistical analyses and the relationship between the direct and indirect effects of the variables, this technology could serve as the basis for implementing a genotype selection methodology. Awnless barley was assessed in a randomized block design with three replicates in two crop seasons at Mexico’s northeastern region. Two samplings were carried out during crop development: at 75 and 90 days after sowing. The infrared and stomatal sensors were used to identify the direct and indirect effects of stomata’s traits on dry forage yield. The data were analyzed in a subdivided plot design, using mean comparison tests, correlation coefficients and path analyses, finding significant differences (p < 0.05) among localities and among samplings. Dry forage yield was significant and positively correlated with plant height (r = 0.578) and canopy temperature (r = 0.724), and negatively correlated with the leaf upper side stomatal width (r = −0.409) and the leaf lower side stomatal width (r = −0.641), chlorophyll content and vegetation index. Temperature, chlorophyll, density and leaf lower side stomatal index had the strongest direct effects on yield. Therefore, the infrared technology appears as a way to select high yielding awnless forage barley, to obtain the correlation, the positive direct effect of temperature and the negative effect of chlorophyll. Due to their direct effects, low density and low leaf underside stomatal indexes can also help in the indirect selection of higher yielding forage barley genotypes.

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Correlation and Path Analysis Studies in Barley (Hordeum vulgare L.) Genotypes under Normal and Limited Moisture Conditions

Cited by 10 publications

References 5 publications

Genetic Variability and Path Analysis Studies in Barley (Hordeum vulgare L.)

Genetic Variability and Path Analysis Studies in Barley (Hordeum vulgare L.)

Variability of performance and its structural elements in spring barley cultivars

Stomatal Traits and Barley (Hordeum vulgare L.) Forage Yield in Drought Conditions of Northeastern Mexico

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