Genetic variability, character association and path analysis for yield and yield component traits in maize (<i>Zea</i> <i>mays</i> L.)

Prakash, Ram; Ravikesavan, R.; Vinodhana, N. Kumari; Senthil, A.

doi:10.5958/0975-928x.2019.00065.6

Cited by 16 publications

(33 citation statements)

References 7 publications

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“…High estimates of heritability coupled with high estimates of genetic advance as percent of mean were reported for grain yield per plant, kernels per cob, cob weight, kernels per row, seed vigour index, seedling length, 100-kernel weight, cob length, plant height, cobs per plant and kernel rows per cob. The findings of this study are in broadly agreement with the findings of Maruthi and Rani (2015) [10] , Sandeep et al (2015) [18] , Thakur et al (2016) [21] , Prakash et al (2019) [16] , Hussain et al (2019) [7] , Ubi et al (2019) [22] , Devi (2020) [5] , and Islam et al (2020) [8] . The characters that showed high heritability coupled with high genetic advance could be improved through simple selection.…”

Section: Resultssupporting

confidence: 91%

“…All the genotypes showed significant variability for all the characters studied. Significant difference among the genotypes for studied characters have also been reported by Mhoswa et al (2016) [11] , Thakur et al (2016) [21] , Shengu (2017) [19] , Bisen et al (2018) [3] , Beulah et al (2018) [2] , Bartaula et al (2019) [1] , Prakash et al (2019) [16] , Ubi et al (2019) [22] , Devi (2020) [5] , Islam et al (2020) [8] and Taiwo et al (2020) [20] . The estimates of genotype coefficient of variance (GCV) and phenotypic coefficient of variance (PCV) are presented in table 2.…”

Section: Resultsmentioning

confidence: 60%

“…High values (>20%) of GCV and PCV were recorded for grain yield per plant, kernels per cob, cob weight and kernels per row. Prakash et al, 2019 [16] has also reported High PCV and GCV for the same characters. Maruthi and Rani, 2015 [10] has reported high GCV and PCV for grain yield per plant and kernels per row.…”

Section: Resultsmentioning

confidence: 84%

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Direct selection parameter estimates for yield and its contributing traits in maize (Zea mays L.)

Lal¹,

Kumar²,

Singh³

et al. 2020

Int. J. Chem. Stud.

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Heritability and Genetic advance are the direct selection parameters. Information on such parameters has great importance in enhancing the selection efficiency. Therefore, in the present investigation 77 maize genotypes including 54 F1s, 18 lines, 3 testers and 2 check varieties were evaluated in relation to direct selection parameters for different quantitative traits. All the genotypes showed significant variability for all the characters studied. High values (>20%) of genotypic coefficient of variance (GCV) and phenotypic coefficient of variance (PCV) were recorded for the traits, grain yield per plant, kernels per cob, cob weight and kernels per row. The traits such as seed vigour index, seedling length, cob length, cobs per plant 100-kernel weight, plant height and kernel rows per cob showed moderate values (10-20%) of GCV and PCV. For almost all the traits the values of GCV and PCV were almost similar but for cob diameter GCV was low while PCV was high indicated that all the traits had low environmental influence except cob diameter that had high environmental influence. High estimates of heritability coupled with high estimates of genetic advance as percent of mean were recorded for the traits grain yield per plant, kernels per cob, cob weight, kernels per row, seed vigour index, seedling length, 100kernel weight, cob length, plant height, cobs per plant and kernel rows per cob. This indicated the role of additive gene effect in the inheritance of these traits; therefore, such traits could be improved through simple selection.

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Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 60%

See 1 more Smart Citation

Direct selection parameter estimates for yield and its contributing traits in maize (Zea mays L.)

Lal¹,

Kumar²,

Singh³

et al. 2020

Int. J. Chem. Stud.

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show abstract

“…Only the cultivar ORION had an increase in NR using P. Cultivars with higher ED were also the ones with the highest NR. This was due to these two characteristics having a high correlation [21].…”

Section: Resultsmentioning

confidence: 97%

Efficiency and Response to Phosphorus Use of Corn Cultivars in the Tropical Climate

Santos

Maciel

Ferreira

et al. 2021

IJPSS

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Aims: The present study evaluated the efficiency and response to phosphorus (P) use of corn cultivars in the tropical climate in southern Para State, Brazil. Study Design: Two experiments were carried out, in low P (50 kg ha-1) and high P (200 kg ha-1) applications in Randomized block design (RBD), three replicates, and fourteen cultivars were used for the experiment. Place and Duration of Study: The experiment was carried out in the 2019-20 harvest at Sitio Vitoria (8º18'32" S, 50º36'58" W), located in the municipality of Santa Maria das Barreiras, a southern region of Para state, Brazil. Methodology: Phosphate fertilization was used in the sowing groove. In low P, 50 kg ha-1 of P2O5 were applied, and in high P were 200 kg ha-1 of P2O5. The source was simple superphosphate (18% P2O5). The dose in high P was defined to achieve high yields and considering the nutrient content in the soil, in low P the dose was well below. Nitrogen and potassium fertilization in cover were divided: 50% in V4 and 50% in V8. Doses of 150 kg ha-1 of N and 90 kg ha-1 of K2O were used, and fertilizers were used: urea (43% N) and potassium chloride (60% K2O). Results: The highest means were: 8,710 kg ha-1 efficiency and 29.78 kg kg-1 response. The efficient cultivars were: ORION, BR 2022, CR 120, AL BANDEIRANTE, M 274, BRS 3046, and AG 8088. And those considered responsive were: BM 3061, BR206, CATIVERDE 02, BR 205, ANHEMBI, BR 2022, and BRS 3046. Conclusion: The cultivar BR 2022 and BRS3046 showed high efficiency and also a response to phosphorus use.

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“…However, only heritability-based trait selection may not be successful sometimes, as the broad sense of heritability counts on total genetic variance, which involves additive, dominant, and epistatic variances. Therefore, estimation of the heritability of a group of genotypes coupled with high genetic advance is more reliable and efficient for the selection of desirable traits for a group of the population [ 38 ]. According to the categorization of genetic advance as a percentage of mean (GAM) <10 is low, 10–20% is medium, and >20% is high.…”

Section: Resultsmentioning

confidence: 99%

Genetic Variation and Genotype by Environment Interaction for Agronomic Traits in Maize (Zea mays L.) Hybrids

Alam

Rahman²,

Ahmed

et al. 2022

Plants

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In order to develop high-yielding genotypes of adapted maize, multilocation trials of maize were performed including forty-five maize hybrids exploiting genetic variability, trait associations, and diversity. The experiments were laid out in an RCB design and data were recorded on eight yield and yield-contributing traits, viz., days to anthesis (AD), days to silking (SD), anthesis–silking interval (ASI), plant height (PH), ear height (EH), kernels per ear (KPE), thousand-kernel weight (TKW), and grain yield (GY). An analysis of variance (ANOVA) showed significant variation present among the different traits under study. The phenotypic coefficient of variance (PCV) showed a higher value than the genotypic coefficient of variance (GCV), indicating the environmental influence on the expression of the traits. High heritability coupled with high genetic advance was found for these traits, indicative of additive gene action. The trait associations showed that genotypic correlation was higher than phenotypic correlation. Based on genetic diversity, the total genotypes were divided into four clusters, and the maximum number of 16 genotypes was found in cluster IV. Among the eight yield and yield-contributing traits, PH, ASI, EH, and TKW were the important traits for variability creation and were mostly responsible for yield. Genotypes G5, G8, G27, G29, and G42 were in the top ranks based on grain yield over locations, while a few others showed region-centric performances; all these genotypes can be recommended upon validation for commercial release. The present findings show the existence of proper genetic variability and divergence among traits, and the identified traits can be used in a maize improvement program.

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Genetic variability, character association and path analysis for yield and yield component traits in maize (Zea mays L.)

Cited by 16 publications

References 7 publications

Direct selection parameter estimates for yield and its contributing traits in maize (Zea mays L.)

Direct selection parameter estimates for yield and its contributing traits in maize (Zea mays L.)

Efficiency and Response to Phosphorus Use of Corn Cultivars in the Tropical Climate

Genetic Variation and Genotype by Environment Interaction for Agronomic Traits in Maize (Zea mays L.) Hybrids

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