Heritability and Associations among Grain Yield and Quality Traits in Quality Protein Maize (QPM) and Non-QPM Hybrids

Amegbor, Isaac Kodzo; Biljon, Angeline van; Shargie, Nemera; Tarekegne, Amsal; Labuschagne, Maryke

doi:10.3390/plants11060713

Cited by 17 publications

(14 citation statements)

References 39 publications

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“…Similar findings were reported by Amegbor et al[52], Devasree et al[46], Pandey et al[53], Kinfe et al[43], Kote et al[46], Reddy et al[36], Kumar et al[54], Selvaraj et al[5], Saidaiah et al[44], Geetha et al[55]. Similar findings were reported by Devasree et al[56], Pandey et al[53], Kote et al[36], Selvaraj et al[5], Saidaiah et al[44], Singh et al[38], Kinfe et al[43], Reddy et al[36], Kumar et al[54], Geetha et al[55].…”

supporting

confidence: 92%

Correlation and Path Coefficient Analysis for Grain Yield Components in Maize (Zea mays L.)

Reddy¹,

Lal²,

Krishna³

et al. 2022

IJPSS

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In the present study, "Correlation and path coefficient analysis for grain yield components in maize (Zea mays L.)," the aim was to estimate genetic variability, genetic advance, correlation, and direct and indirect effects of yield contributing traits on yield. According to the analysis of variance, all traits exist. Hence, the data on all the 16 traits which showed significant differences among the entries were subjected to further statistical analysis. GP-184 had the shortest grain yield per plant in comparison to other genotypes, whereas GP-87 had the highest grain yield. Grain yield per plant, ear height, plant height, and cob weight exhibited the highest genotypic coefficient of variation. Cob weight. Among the traits, grain yield per plant, ear height, plant height, cob weight, and cob length showed a higher phenotypic coefficient of variation. The traits ear height, grain yield per plant, plant height, number of cobs per plant, cob length, number of kernels per row, cob weight, number of kernels per row per cob, anthesis to silking interval, shank weight, and days to 50% silking exhibited the highest heritability. Plant height, grain yield per plant, ear height, and cob weight were traits that showed higher genetic advances. These traits included grain yield per plant, ear height, plant height, cob weight, cob length, number of cobs per plant, tassel length, number of kernels per row, number of kernel rows per cob, 100-kernel weight, anthesis to silking interval, cob girth, and shank weight that showed higher genetic advance as a percent mean. The correlation coefficient indicates there is a significant positive correlation between grain yield and cob weight, number of cobs per plant, number of kernels per row, number of kernel rows per cob, 100 kernel weight, cob length, cob girth, plant height, ear height, shank weight, and tassel length at the phenotypic level. Grain yield per plant significantly positive correlation with cob weight, number of cobs per plant, number of kernels per row, number of kernel row per cob, 100 kernel weight, cob length, cob girth, plant height, shank weight, ear height, tassel length at the genotypic level the phenotypic level, the traits cob weight, 100 kernel weight, and plant height had the greatest direct impact on grain yield per plant. The traits were cob weight, number of kernel row per cob, 100 kernel weight showed higher direct effect on grain yield per plant at genotypic level.

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confidence: 92%

Correlation and Path Coefficient Analysis for Grain Yield Components in Maize (Zea mays L.)

Reddy¹,

Lal²,

Krishna³

et al. 2022

IJPSS

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“…The cultivars Simpatico, Arifiye, SY-Antex, Kolessaus, and Sakarya were prominent in terms of many quality traits such as PC, FC, AC, TF, TW, ADF, K, P, Mg, Fe, Zn, and Mn. This result is partly consistent with a previous report (Amegbor et al, 2022). Yousaf et al (2021) showed the negative association between starch and fat content.…”

Section: Biplot Analysissupporting

confidence: 94%

Determining the Grain Yield and Nutritional Composition of Maize Cultivars in Different Growing Groups

Mut

Kardeş

Köse

2022

Turkish Journal of Field Crops

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Due to its adaptability to different climates, short growing period, high photosynthetic capacity and yield, maize is an important crop widely grown all over the world. This study was conducted to determine grain yield and some nutrition traits of 18 maize cultivars in Bilecik ecological conditions in 2019 and 2020 years. Experiments were carried out in randomized complete block design with three replications. There were significant (P

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“…In our study, traits which are investigated for variability in BC 1 F 2:3 population are protein content, ear length (cm), ear width (cm), kernel rows/ear and test weight (g). The results are consistent with those of earlier reports ofAmegbor et al (2022). Cluster I having Teosinte is entirely different from remaining 5 clusters which is represented in dendrogram (Fig:5).…”

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confidence: 92%

Augmenting protein biofortification in maize using teosinte (Zea mays ssp. parviglumis)

Varalakshmi

Singh

Senthilkumar

2022

Preprint

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Maize underwent domestication from the wild species Teosinte (Zea mays ssp. parviglumis) in the Balsas River valley of Mexico. While domestication and selective breeding of maize lost major alleles for kernel size and composition, Teosintes have a huge repository of novel and diverse alleles for protein content; have doubled protein content and higher levels of methionine-rich zeins than cultivated maize. To address the issue of protein in maize, we developed and investigated BC1F2:3 population derived from crossing between maize inbred line CML-451 and teosinte (Zea mays ssp. parviglumis). The data on ear traits and protein content were recorded on 126 BC1F2:3 individual cobs and parental lines. The protein content of among the BC1F2:3 lines had highly significant variation which varied from 9.53–16.49% for MP51 and MP6 lines, respectively. The results stipulated that protein content of teosinte introgressed maize lines is improved by 41.42% over CML-451. The introgressed population also exhibited significant variation for all ear traits investigated. Principal component analysis and cluster analysis have applied for estimation of genetic diversity among introgressed lines. Proteins content, ear length (cm), ear width (cm), kernel rows/ear and test weight (g) are all significant contributors to maximum diversity among teosinte introgressed maize lines. Cluster analysis highlighted the diversity among lines based on protein content and test weight and grouped them into six clusters. Cluster II lines were characterized by higher protein content and test weight values and were considered for wider use in breeding programmes. The results of the investigation highlight the substantial increase in the protein content of the teosinte derived maize lines and therefore indicates critical role of Zea mays ssp. parviglumis in protein biofortification of maize kernels.

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Heritability and Associations among Grain Yield and Quality Traits in Quality Protein Maize (QPM) and Non-QPM Hybrids

Cited by 17 publications

References 39 publications

Correlation and Path Coefficient Analysis for Grain Yield Components in Maize (Zea mays L.)

Correlation and Path Coefficient Analysis for Grain Yield Components in Maize (Zea mays L.)

Determining the Grain Yield and Nutritional Composition of Maize Cultivars in Different Growing Groups

Augmenting protein biofortification in maize using teosinte (Zea mays ssp. parviglumis)

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