Application of the multivariate analysis method for some traits in maize

Beiragi, Maryam Ashofteh; Sar, Barat Ali Siah; Geive, H. S.; Rahmani, A; Gharibdoosti, Ali Bakhtiari

doi:10.5897/ajar11.1595

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…Path coefficient analysis is an efficient tool for a plant breeder, to visualize the direct and indirect effect of a single trait on dependent structure (Ali et al, 2011a; El-Badawy and Mehasen, 2011) and could provide a better understanding about the selection process in breeding program, especially, when a large number of variables are involved (Beiragi et al, 2012). The traits which had the most positive direct effect are favorable to select in the breeding cycle (Rubino and Davis, 1990).…”

Section: Discussionmentioning

confidence: 99%

Phenotypic Stability of Zea mays Grain Yield and Its Attributing Traits under Drought Stress

et al. 2017

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Phenotypic stability under stress environment facilitate the fitness of genotype and opens new horizons to explore the cryptic genetic variation. Variation in tolerance to drought stress, a major grain yield constraint to global maize production, was identified, at the phenotypic and genotypic level. Here we found a prominent hybrid H9 that showed fitness over four growing seasons for grain yield under water stress conditions. Genotypic and phenotypic correlation of yield attributing traits over four seasons demonstrated that cobs per plant, 100 seed weight, number of grains rows per cob, total dry matter, cob diameter had positive association (r2 = 0.3–0.9) to grain yield. The perturbation was found for chlorophyll content as it showed moderate to strong association (P < 0.01) over four seasons, might be due to environment or genotype dependent. Highest heritability (95%) and genetic advance (79%) for grain yield was found in H9 over four consecutive crop growing seasons. Combined analysis over four seasons showed that studied variables together explained 85% of total variation in dependent structure (grain yield) obtained by Principal component analysis. This significant finding is the best example of phenotypic stability of grain yield in H9 and made it best fitted for grain yield under drought stress scenario. Detailed genetic analysis of H9 will help us to identify significant loci and alleles that made H9 the best fitted and it could serve as a potential source to generate novel transgressive levels of tolerance for drought stress in arid/semiarid regions.

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Section: Discussionmentioning

confidence: 99%

Phenotypic Stability of Zea mays Grain Yield and Its Attributing Traits under Drought Stress

et al. 2017

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“…The response was clear through correlation coefficient values, thus was therefore instead of by the reduction in grain weight. There was a negative genetic and phenotypic correlation between plant yield and number of days for silking at the first and third levels, This is due to multiple genes that identify pairs of these traits and that act antagonistically [18] and [25]. Therefore, plant breeders should take this relationship into consideration in improving the yield character, which makes it easier for the breeder to diagnose one or more of these traits for the selection of an ideal genotype with high productivity.…”

Section: Genotypic and Phenotypic Correlationmentioning

confidence: 99%

“…It can be calculated by choosing diverse genotypes; however, genotypes can be assessed, then estimate the variance and covariance of those characters and their combinations. This method was used by many researchers like [15] , [16], [17], [18], [19] [20], [21], [22], and [23]. they got different results, finding that some yield components have direct and others have indirect effects on yield.…”

Section: Introductionmentioning

confidence: 99%

Study of Genotypic and Phenotypic Correlation and Path Analysis Under Potassium Fertilization in Maize (Zea mays)

Al-Rawi,

Bedn,

Hamed

2023

IOP Conf. Ser.: Earth Environ. Sci.

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During the autumn season of 2018, a field experiment was carried out. The study’s goal was to evaluate phenotypic and genotypic correlation as well as path coefficient analysis under varied degrees of potassium fertilization. The study included nine different maize genotypes. Planted with three levels of potassium fertilization (75, 100, and 125 K2SO4 Kg Hectare-1). The split plot arrangement was done according to RCBD with three replications. The most important findings were summarized as follows: The genetic analysis revealed that genotypes differed significantly in all analyzed variables under the three levels of potassium fertilization. The grain yield genetically, phenotypically, and positively correlated with plant height, leaf area index, number of rows per ear, number of grain in a row and weight of 300 grain. The trait of a number of grains in a row showed genetic, phenotypic, and significant correlation with the three levels of potassium fertilization and the highest reached 0.95 and 0.89 respectively at the third level. Path analysis showed that the direct effects for a Leaf area index, number of rows per ear, Number of grains per row and weight of 300 grain were negative at the first level of potassium and highly positive at the other two levels. the direct selection for a number of rows per ear and Number of grains per row will incredibly effective in enhancing yield. However, the highest indirect effect for Number of grains per row was through plant height (1.76) at the first levels of potassium fertilization.

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“…[25] [26]. This analysis provides a deeper understanding of selection for breeding purposes [27].When using this method, the trait that exhibits the most positive effect becomes highly favorable for selection in the breeding cycle [28]. Positive correlation of chlorophyll content and fresh shoot weight implies that plants with greater shoot elongation tend to exhibit more chlorophyll content.…”

Section: Root Lengthmentioning

confidence: 99%

Early Selection of Drought Tolerant Maize Genotypes Using Physio- Morphological Traits

Naeem,

Ali,

Ahmed

et al. 2023

Preprint

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Maize (Zea mays) is a broadly cultivated for its seed, a cereal grain and it is a global staple food. However, water shortage pose a serious threat to its production globally. Drought stress negatively affects the growth and development of maize leading to, less germination, diminished grain yield and quality. The experiment was performed in a wire house of the department of Plant Breeding and Genetics, at The Islamia University of Bahawalpur. Eighteen maize genotypes were screened for drought at various levels during the seedling stage using complete randomized design (CRD). The major traits chlorophyll content, shoot length, root length, fresh shoot weight, dry root weight, fresh root weight and dry root weight traits were studied. The genotypes MERAJ-2019, SILVER-2019, SAR-SUBZ-2019, Sarhad white performed when water stress was imposed and considered as drought-tolerant keeping in view these performances, we can increase the yield by using this breeding material from above screening genotypes of maize under drought stress and overcome the challenges of drought in Agriculture sector of Pakistan.

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Application of the multivariate analysis method for some traits in maize

Cited by 5 publications

References 19 publications

Phenotypic Stability of Zea mays Grain Yield and Its Attributing Traits under Drought Stress

Phenotypic Stability of Zea mays Grain Yield and Its Attributing Traits under Drought Stress

Study of Genotypic and Phenotypic Correlation and Path Analysis Under Potassium Fertilization in Maize (Zea mays)

Early Selection of Drought Tolerant Maize Genotypes Using Physio- Morphological Traits

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