Correlation and path coefficient analysis for grain yield and its attributing traits of maize inbred lines (Zea mays L.) under heat stress condition

Kandel, Manoj; Ghimire, Surya Kant; Ojha, Bishnu Raj; Shrestha, Jiban

doi:10.31015/jaefs.18021

Cited by 18 publications

(22 citation statements)

References 21 publications

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“…Existence of genetic variability among maize genotypes for yield and major yield attributing traits were reported by Bhusal et al (2017), Kandel et al (2018), Sharma et al (2018) and Adhikary et al (2018).…”

Section: Grain Yield and Yield Attributing Traitsmentioning

confidence: 68%

Evaluation of open pollinated and hybrid maize varieties in Dhading district of Nepal

Devkota

Karn

Jha

et al. 2020

J. Agric. Nat. Res.

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Five maize varieties namely Rampur composite, Arun-2, Manakamana-3, Rampur Hybrid-4 and Rajkumar were evaluated in randomized complete block design with four replications at farmers field at Nilkantha Municipality-09, Aashikhola, Dhading from February 2018 to June 2018 to identify high yielding maze varieties. Significant variation was observed for grain yield, silking and tasseling, number of kernels per cob and cob length.The largest cob length was found in Rampur composite (19.550 cm) and highest number of kernel row per cob was found in Rajkumar (17.25) and Manakamana-3 (17.25).The highest number of leaves above cob was found in Rampur composite (5.678). The number of days for 50% tasseling and number of days for 50% silking had a highly significant and positive correlation with plot yield. The highest number of days for 50% tasseling (78.50 DAS) and days for 50 % silking (82.50 DAS) was observed in the genotypes Rampur Hybrid-4. Similarly, the number of leaves above the cob , thousand kernel weight and length of the cob had a significant and positive correlation with plot yield. Rampur Hybrid -4 was the highest yielding genotype (7.79 t/ha) for such domain area with a B:C ratio of 1.48.Thus, Rampur Hybrid-4 genotype is recommended for spring season in Dhading.

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Section: Grain Yield and Yield Attributing Traitsmentioning

confidence: 68%

Evaluation of open pollinated and hybrid maize varieties in Dhading district of Nepal

Devkota

Karn

Jha

et al. 2020

J. Agric. Nat. Res.

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“…Thus there is scope to enhance genetic yield potential through selection and hybridization. Existence of significant genetic variability among maize genotypes for yield and major yield attributing traits were reported by Vashistha et al (2013), Ogunniyan and Olakojo (2014), Pahadi and Sapkota (2016), Bhusal et al (2017), Kandel et al (2018) and Sharma et al, (2018). Prasai et al (2015) also reported genetic variability on early maize.…”

Section: Analysis Of Variancementioning

confidence: 71%

Agronomic performance and genotypic diversity for morphological traits among early maize genotypes

Adhikari

Shrestha

Dhakal

et al. 2018

IJAB

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Detailed information on the genetic diversity between maize germplasm (Zea mays L.) is useful for their systematic and efficient use in breeding programs. Fourteen early maize genotypes were studied to assess their performance and genotypic diversity at Doti, Nepal in 2015. Days to tasseling, days to silking, plant height, ear height, ear length, ear diameter and grain yield were significant among genotypes. Genotype SO3TEY-PO-BM, COMPOL-NIOBP and ACROSS-99402 were found higher yielder with earlier maturity. Days to tasseling (0.85), days to silking (0.82), plant height (0.79), ear length (0.71) and ear diameter (0.66) were found highly heritable traits. Grain yield (0.39) and ear height (0.47) medium and remaining traits showed low heritability. High PCV was observed for grain yield (35.10%), number of plants/plot (34.46%), tesseling silking interval (26.85%), harvested ears/plot (24.45%) and husk cover rating (22.85%) where other traits showed medium to low PCV. Grain yield showed high GCV (21.96%), ear height and husk cover had medium and remaining traits showed low GCV (<10%). Plant height (r₌0.498), harvested plants/plot (r₌0.412), harvested ear/plot (r₌0.762), ear length (r₌0.472) and ear diameter (r₌0.470) showed significant positive correlation with grain yield. The yield can be improved if selection applied in favor of those yield components.

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“…The relationship among different traits in wheat can be determined using genotypic and phenotypic correlation analysis. It is an effective tool for the enhancement of crop improvement for traits of interest [1][2][3]. The correlation coefficient among traits shows a complex chain of interacting relationships and the direction of the relationship.…”

Section: Introductionmentioning

confidence: 99%

Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia

Solomon¹

2021

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Grain yield is a complex quantitative trait which is influenced by a number of yield contributing traits. To improve grain yield in wheat, selection of genotypes should not only be based on grain yield alone, and the other grain yield components should also be considered. Twenty-three advanced bread wheat genotypes from the national wheat research breeding program; two released bread wheat varieties in Ethiopia; a total of twenty-five genotypes used in this study. The experiment was conducted in square lattice design with three replication over five locations for two consecutive years, in 2018 and 2019 main cropping seasons. The total experimental unit was 2.5m x 1.2m = 3m 2 . Overall results from correlations showed a higher genotypic correlation than the corresponding phenotypic correlation for most of the traits. The genotypic correlation between Grain yield and Plant height (r g =0.51**); between grain yield and thousand kernel weight (rg=0.73**); and between grain yield and hectoliter weight (r g = 0.52**) are highly significant at (P<0.01) (table 3). The highest phenotypic correlation found between thousand kernel weight and grain yield (r p =0.68**) followed by the phenotypic correlation between hectoliter weight and grain yield (r p =0.57**) (Table 5). The date of maturity, Plant height, Thousand Kernel Weight, and HectoLiter Weight had a positive direct effect on Grain yield (table 4). In conclusion, to generate a new technology, a variety with improved grain yield, a breeder needs to apply indirect selection for yield components from an early stage, nurseries to sets of advanced yield trials in the breeding program.

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Correlation and path coefficient analysis for grain yield and its attributing traits of maize inbred lines (Zea mays L.) under heat stress condition

Cited by 18 publications

References 21 publications

Evaluation of open pollinated and hybrid maize varieties in Dhading district of Nepal

Evaluation of open pollinated and hybrid maize varieties in Dhading district of Nepal

Agronomic performance and genotypic diversity for morphological traits among early maize genotypes

Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia

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