Correlation and Path Coefficient Analysis of Earliness and Agronomic Characters of Upland Cotton in Multan

Iqbal, Muhammad; Chang, Muhammad Ali; Iqbal, Muhammad; Mahmood-ul-Hassan, .; Nasir, Abdul; Noor-ul-Islam,

doi:10.3923/ja.2003.160.168

Cited by 21 publications

(9 citation statements)

References 4 publications

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“…We obtained a high coefficient of determination (0.9998), which was higher than that obtained in other studies that have employed a path analysis in cotton (Iqbal et al, 2003;Hoogerheide et al, 2007). This suggests that the genetic effects related to the main dependent variable, YF, are very well explained by the model.…”

Section: Resultsmentioning

confidence: 46%

“…Estimates of these effects are obtained by regression equations in which the variables are first standardized. However, for cotton crop, few studies have used this method for breeding purposes and the few studies that have been done to this end, all used fiber yield as the primary dependent variable (Tyagi et al, 1998;Iqbal et al, 2003;Hoogerheide et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Correlations and path analysis among agronomic and technological traits of upland cotton

et al. 2016

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ABSTRACT. To date, path analysis has been used with the aim of breeding different cultures. However, for cotton, there have been few studies using this analysis, and all of these have used fiber productivity as the primary dependent variable. Therefore, the aim of the present study was to identify agronomic and technological properties that can be used as criteria for direct and indirect phenotypes in selecting cotton genotypes with better fibers. We evaluated 16 upland cotton genotypes in eight trials conducted during the harvest 2008/2009 in the State of Mato Grosso, using a randomized block design with four replicates. The evaluated traits were: plant height, average boll weight, percentage of fiber, cotton seed yield, fiber length, uniformity of fiber, short fiber index, fiber strength, elongation, maturity of the fibers, micronaire, reflectance, and the degree of yellowing. Phenotypic correlations between the traits and cotton fiber yield (main dependent variable) 2 F.J.C. Farias et al. Genetics and Molecular Research 15 (3): gmr.15038239 were unfolded in direct and indirect effects through path analysis. Fiber strength, uniformity of fiber, and reflectance were found to influence fiber length, and therefore, these traits are recommended for both direct and indirect selection of cotton genotypes.

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Section: Resultsmentioning

confidence: 46%

Section: Introductionmentioning

confidence: 99%

Correlations and path analysis among agronomic and technological traits of upland cotton

et al. 2016

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“…The estimate of the coefficient of determination was of high magnitude (R² = 0.81) and indicates that more than 80% of the variation of cotton boll yield is explained by the phenological variables. The use of path analysis in cotton plants has been only used for breeding purposes (TYAGI et al, 1998;IQBAL et al, 2003;HOOGERHEIDE et al, 2007;FARIAS et al, 2016).…”

Section: Path Analysis On Yieldmentioning

confidence: 99%

In situ remote sensing as a strategy to predict cotton seed yield

et al. 2019

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Crop harvest scheduling and profits and losses predications require strategies that estimate crop yield. This work aimed to investigate the contribution of phenological variables using path analysis and remote sensing techniques on cotton boll yield and to generate a model using decision trees that help predict cotton boll yield. The sampling field was installed in Chapadão do Céu, in an area of 90 ha. The following phenological variables were evaluated at 30 sample points: plant height at 26, 39, 51, 68, 82, 107, 128, and 185 days after emergence (DAE); number of floral buds at 68, 81, 107, 128, and 185 DAE; number of bolls at 185 DAE; Rededge vegetation index at 23, 35, 53, 91, and 168 DAE; and cotton boll yield. The main variables that can be used to predict cotton boll yield are the number of floral buds (at 107 days after emergence) and the Rededge vegetation index (at 53 and 91 days after emergence). To obtain higher cotton boll yields, the Rededge vegetation index must be greater than 39 at 53 days after emergence, and the plant must present at least 14 floral buds at 107 days after emergence.

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“…Furthermore, path coefficient analysis, proposed by [22,23] permits a better understanding of character association through separation of correlation coefficients into direct and indirect effects on the characters of interest [23,24]. In cotton such types studies have done by several researchers, suggested for the improvement seed cotton yield potential [23,25,26,27]. Keeping in view the importance of genetic studies of different quantitative characters, the present investigation was under taken to assess different genetic parameters, correlation and path analysis for seed cotton yield and yield contributing characters in diversified upland cotton genotypes.…”

Section: Introductionmentioning

confidence: 99%

Selection of Genotypes and Contributing Characters to Improve Seed Cotton Yield of Upland Cotton (Gossypium hirsutum L.)

Ali¹,

Kundu

Alam

et al. 2020

ARJA

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The experiment was conducted at Cotton Research Centre, Chowgacha, Jessore during 2015-2016 with twenty genetically diverged genotypes, with a view to select desirable genotypes and important characters enhancing seed cotton yield in upland cotton. The experiment was laid out in RCBD with three replications. The unit plot size was 4.5 m x 4.5 m and the spacing, 45 cm ×90 cm. Data were recorded from randomly selected ten plants on monopodial branches plant-1, primary sympodial branches plant-1,secondary sympodial branches plant-1, main stem nodes plant-1, days to 1st (5%) flowering, days to 1st boll splitting, bolls plant-1, single boll weight (g), unburst bolls plant-1, plant height (cm), seeds boll-1, seed cotton yield (kg ha-1). The genotype JA-08/D produced the highest seed cotton yield (3430 kg ha-1) followed by two genotypes JA-08/C (3329 kg ha-1) and JA-08/E (3226 kg ha-1). Though high heritability (90.36-97.46%) were estimated for four characters but high heritability along with high genetic advance values were observed for bolls plant-1, boll weight and seeds boll-1. The moderate heritability (83.58%) with high genetic advance (48.54%) suggests seed cotton yield is controlled by additive and non-additive genetic factors. In general, genotypic correlation coefficient was higher than corresponding phenotypic correlation coefficient due to inherent potential of the genotypes for expressing the individual characters. However, six characters, secondary sympodial branches plant-1, main stem nodes plant-1, days to 1st flowering, bolls plnat-1, boll weight and seeds boll-1 showed positive and significant association. Upon partitioning the correlation coefficients of seed cotton yield with other characters confirmed significant contribution of three characters like bolls plant-1, boll weight and seeds boll- 1. Therefore, three genotypes, JA-08/D, JA-08/C and JA-08/E and three characters, bolls plant-1, boll weight and seeds boll- 1 may be considered by the breeders for improving seed cotton yield in upland cotton.

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Correlation and Path Coefficient Analysis of Earliness and Agronomic Characters of Upland Cotton in Multan

Cited by 21 publications

References 4 publications

Correlations and path analysis among agronomic and technological traits of upland cotton

Correlations and path analysis among agronomic and technological traits of upland cotton

In situ remote sensing as a strategy to predict cotton seed yield

Selection of Genotypes and Contributing Characters to Improve Seed Cotton Yield of Upland Cotton (Gossypium hirsutum L.)

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