Assessing genetic diversity of newly developed winter maize (<i>Zea mays</i> L.) inbred lines

Singh, Satvir; Kasana, RK; Kumar, Santosh; Kumar, Ramesh

doi:10.5958/0976-1926.2020.00010.8

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…The character SPAD value showed highest contribution (61.08) towards genetic divergence followed by anthesis to silking interval (17.46), cob girth (15.51), cob weight (2.66), hundred grain weight (1.86), number of kernels per row (0.09), days 75 per cent brown husk (0.18), plant height 90 DAS (0.09), cob length (0.09)and number of kernel rows per cob (0.09). The findings were supported by Singh et al [10] and Maruthi et al [11] who also identified above said characters as the principal components contributing maximum to the total variation in maize. These characters should be given importance for selecting diverse parents for yield breeding programmes in maize [12].…”

Section: Resultssupporting

confidence: 70%

Assessment of Genetic Diversity of Maize (Zea mays L.) Inbreds Based on Morphological Traits

Shankar

Shahi

Singh

et al. 2021

CJAST

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The screening of forty eight maize in breds from International Maize and Wheat Improvement Center was carried out to estimate the genetic diversity and the results indicated presence of considerable diversity. The experiment was conducted in a randomized complete block design with three replication and phenotypic data were analyzed using twenty one agro-morphological traits. The forty eight maize in breds grouped into eleven clusters based on Mahalanobis D2 statistic. Among them cluster I accommodated maximum number of inbred lines (15) followed by cluster III and V (9). Existence of six solitary clusters showed larger genetic diversity. The character chlorophyll content showed highest contribution towards genetic divergence followed by anthesis to silking interval, cob girth, cob weight, hundred grain weight, number of kernels per row, days 75 per cent brown husk, plant height at 90 DAS, cob length and number of kernel rows per cob. Based upon the divergence studies suggesting crossing may be made between genotypes of cluster VIII (CAL1428) and cluster X (ZL154357, CAL1467, ZL153785, CAL1422, and ZL154346) and the hybrid in these cluster could be used as donor parents for new single cross maize hybrid development for improving yield.

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Section: Resultssupporting

confidence: 70%

Assessment of Genetic Diversity of Maize (Zea mays L.) Inbreds Based on Morphological Traits

Shankar

Shahi

Singh

et al. 2021

CJAST

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“…A set of five SSR primers used in the study (Table 2) After the initial screening, five SSR markers amplified in experiment [8,9]. 3).…”

Section: Primers and Pcr Amplificationmentioning

confidence: 99%

Analysis of Genetic Diversity in Maize (Zea mays L.) Variety Using SSR Markers

Shete,

Nikam,

Surbhaiyya

et al. 2023

IJPSS

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The study was carried out to analyze the genetic diversity of five maize varieties at K. K. Wagh collage of agricultural Biotechnology, Nashik during May to October 2022 Genomic DNA was isolated from maize varieties by using CTAB method. The PCR amplification obtains with set of five SSR primers. The dendrogram was constructed based UPGMA method from the Jaccard’s similarity coefficient and the varieties subjected to cluster analysis. Among the five SSR primer used only three found polymorphic with total 13 alleles. The PIC value 0.358 to 0.868 of Phi-085, ssr-08 and ssr-06 shows polymorphism 50%, 80% and 83.34% respectively. The cluster analysis indicates the varieties were divided into 3 clades and one Simplicifolicus. Interpreting the results P. madhu is divers among the all varieties. The cluster analysis indicates the P. madhu variety shows the diversity. The genetic diversity of maize will help the breeder to select the parents for different breeding programs.

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“…Maize is currently grown throughout all three seasons due to its diversity and adaptability. In non-traditional places like Bihar, West Bengal, Karnataka, and others, winter maize outperforms kharif maize (Singh et al 2020). Maize exploits significant heterosis, but hybrid performance differs region to region, suggesting instability due to genotype- environment interaction (GEI).…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of promising winter maize (Zea mays L.) hybrids tested across Bihar using GGE biplot and AMMI model approach

Singh,

Kumar,

Kumar

et al. 2024

IJGPB

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Multilocation evaluation facilitates the quantification of genotype-environment interaction (GEI) and the identification of high-yielding, stable hybrids along with partitioning the evaluating location into mega environments. Testing of 24 single cross hybrids and four checks across three environments revealed the significant GEI for all the studied traits. The environment contributed 12.90, 57.10, and 17.59% of the total variation for grain yield, anthesis silking interval, and days to maturity. The study indicated a negative genotypic correlation among grain yield and anthesis silking interval (-0.2244); days to maturity and anthesis silking interval (-0.019), whereas the positive correlation between grain yield and days to maturity (0.067). Location Sabour was found as the most representative environment for testing commonly adapted hybrids. Location Begusarai and Dholi are discriminatory and non-representative environments suitable for selecting location-specific genotypes. Both GGE biplot and AMMI analysis revealed that three hybrids, viz., IMHSB1, IMHSB20, and IMHSB13 were high-yielding with average stability. The identification of superior and stable maize hybrids may contribute to farmers’ income in Bihar.

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Assessing genetic diversity of newly developed winter maize (Zea mays L.) inbred lines

Cited by 7 publications

References 10 publications

Assessment of Genetic Diversity of Maize (Zea mays L.) Inbreds Based on Morphological Traits

Assessment of Genetic Diversity of Maize (Zea mays L.) Inbreds Based on Morphological Traits

Analysis of Genetic Diversity in Maize (Zea mays L.) Variety Using SSR Markers

Stability analysis of promising winter maize (Zea mays L.) hybrids tested across Bihar using GGE biplot and AMMI model approach

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