Evidence map›Paper›PMID 37392281›Full record

ArticleMolecular biology reports2023

Morpho-physiological traits and SSR markers-based analysis of relationships and genetic diversity among fodder maize landraces in India.

Mukesh Choudhary, Alla Singh, M M Das, Pardeep Kumar, Ritu Naliath, Vishal Singh, Bhupender Kumar, Sujay Rakshit

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Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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3 · Its place in the literature

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3 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Mukesh ChoudharyICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India.
Alla SinghICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India.
M M DasICAR-Indian Grassland and Forage Research Institute, Jhansi, 284003, Uttar Pradesh, India.
Pardeep KumarICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India. pardeepkumar656@gmail.com.ORCID http://orcid.org/0000-0003-3814-8177
Ritu NaliathICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India.
Vishal SinghICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India.
Bhupender KumarICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India.
Sujay RakshitICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India.
ICAR-Indian Institute of Maize Research · INIndian Grassland and Fodder Research Institute · INThe University of Western Australia · AUUtah State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaize is an excellent fodder crop due to its high biomass, better palatability, succulency, and nutrition. Studies on morpho-physiological and biochemical characterization of fodder maize are limited. The present study aimed to explore the genetic variation in fodder maize landraces for various morpho-physiological traits and estimation of genetic relationship and population structure. METHODS AND

resultsThe study on 47 fodder maize landraces revealed significant variation for all morpho-physiological traits except leaf-stem ratio. Plant height, stem girth, leaf-width and number of leaves showed positive correlation with green fodder yield. Morpho-physiological traits-based clustering grouped the landraces into three major clusters, whereas neighbour joining cluster and population structure analysis using 40 SSR markers revealed four and five major groups, respectively. Most landraces of Northern Himalaya-Kashmir and Ludhiana fall into a single group, whereas rest groups mainly had landraces from North-Eastern Himalaya. A total of 101 alleles were generated with mean polymorphic information content value of 0.36 and major allele frequency of 0.68. The pair wise genetic dissimilarity between genotypes ranged from 0.21 to 0.67. Mantel test revealed weak but significant correlation between morphological and molecular distance. Biochemical characterisation of superior landraces revealed significant variation for neutral detergent fibre, acid detergent fibre, cellulose and lignin content.

conclusionInterestingly, significant, and positive correlation of SPAD with lignin content can be explored to bypass the costly affair of invitro quality assessment for digestibility parameters. The study identified superior landraces and demonstrated the use of molecular markers in genetic diversity assessment and grouping of genotypes for fodder maize improvement.

Indexed as

Genetic VariationZea maysDetergentsIndiaLigninDetergentsLigninBiochemicalDiversityFodderLandracesMaize

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PMID37392281
OpenAlexW4382795733

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.