Genetic divergence studies in little millet (Panicum sumatrense Roth. ex. Roem. & Schult) using D2 statistics and molecular markers
Little millet is well known for abiotic stress tolerance and high nutritional value. Focused research can bring this crop into mainstream cultivation with good economic return. In kharif, 2021, fifty little millet genotypes were assessed for genetic variation and diversity for 16 quantitative traits...
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Indian Society of Plant Breeders
2024-12-01
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| Series: | Electronic Journal of Plant Breeding |
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| Online Access: | https://ejplantbreeding.org/index.php/EJPB/article/view/5116 |
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| author | Kinal Patel, Arna Das*, Dhrumi Dalsaniya, Hadassah Mamidipalli, Sanjith Vasala and Harshal E. Patil2 |
| author_facet | Kinal Patel, Arna Das*, Dhrumi Dalsaniya, Hadassah Mamidipalli, Sanjith Vasala and Harshal E. Patil2 |
| author_sort | Kinal Patel, Arna Das*, Dhrumi Dalsaniya, Hadassah Mamidipalli, Sanjith Vasala and Harshal E. Patil2 |
| collection | DOAJ |
| description | Little millet is well known for abiotic stress tolerance and high nutritional value. Focused research can bring this crop into mainstream cultivation with good economic return. In kharif, 2021, fifty little millet genotypes were assessed for genetic variation and diversity for 16 quantitative traits. Variability parameters revealed considerable variation among the genotypes for all the traits studied. Phenotypic parameters being higher than genotypic ones indicated only little environmental influence which was confirmed from high heritability and genetic advance. Most of the traits were found to be expressed additively. D2 technique and analysis of 14 polymorphic microsatellite markers offered different clustering pattern indicating that in the present study morphological markers could not be considered true expressers of genotypic variation, but in both the clustering pattern, most IC genotypes were confined in one cluster indicating their relatedness. Moreover, total carbohydrate content was found to be the major contributor towards genetic divergence.
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| format | Article |
| id | doaj-art-b4da7ce7a77c4b3795d2f5ad86333ff6 |
| institution | Kabale University |
| issn | 0975-928X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Indian Society of Plant Breeders |
| record_format | Article |
| series | Electronic Journal of Plant Breeding |
| spelling | doaj-art-b4da7ce7a77c4b3795d2f5ad86333ff62025-01-20T11:35:54ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2024-12-0115493594310.37992/2024.1504.115Genetic divergence studies in little millet (Panicum sumatrense Roth. ex. Roem. & Schult) using D2 statistics and molecular markersKinal Patel, Arna Das*, Dhrumi Dalsaniya, Hadassah Mamidipalli, Sanjith Vasala and Harshal E. Patil20Department of Genetics and plant Breeding, B. A. College of Agriculture, Anand Agricultural University, Anand, Gujarat - 388110 1Department of Agricultural Statistics, B. A. College of Agriculture, Anand Agricultural University, Anand, Gujarat - 388110 2Hill Millet Research Station, Navsari Agricultural University, Waghai, Gujarat. *E-Mail: arna_das@aau.inLittle millet is well known for abiotic stress tolerance and high nutritional value. Focused research can bring this crop into mainstream cultivation with good economic return. In kharif, 2021, fifty little millet genotypes were assessed for genetic variation and diversity for 16 quantitative traits. Variability parameters revealed considerable variation among the genotypes for all the traits studied. Phenotypic parameters being higher than genotypic ones indicated only little environmental influence which was confirmed from high heritability and genetic advance. Most of the traits were found to be expressed additively. D2 technique and analysis of 14 polymorphic microsatellite markers offered different clustering pattern indicating that in the present study morphological markers could not be considered true expressers of genotypic variation, but in both the clustering pattern, most IC genotypes were confined in one cluster indicating their relatedness. Moreover, total carbohydrate content was found to be the major contributor towards genetic divergence. https://ejplantbreeding.org/index.php/EJPB/article/view/5116little milletvariance parametersgenetic divergenced2 statisticsmolecular markers |
| spellingShingle | Kinal Patel, Arna Das*, Dhrumi Dalsaniya, Hadassah Mamidipalli, Sanjith Vasala and Harshal E. Patil2 Genetic divergence studies in little millet (Panicum sumatrense Roth. ex. Roem. & Schult) using D2 statistics and molecular markers Electronic Journal of Plant Breeding little millet variance parameters genetic divergence d2 statistics molecular markers |
| title | Genetic divergence studies in little millet (Panicum sumatrense Roth. ex. Roem. & Schult) using D2 statistics and molecular markers |
| title_full | Genetic divergence studies in little millet (Panicum sumatrense Roth. ex. Roem. & Schult) using D2 statistics and molecular markers |
| title_fullStr | Genetic divergence studies in little millet (Panicum sumatrense Roth. ex. Roem. & Schult) using D2 statistics and molecular markers |
| title_full_unstemmed | Genetic divergence studies in little millet (Panicum sumatrense Roth. ex. Roem. & Schult) using D2 statistics and molecular markers |
| title_short | Genetic divergence studies in little millet (Panicum sumatrense Roth. ex. Roem. & Schult) using D2 statistics and molecular markers |
| title_sort | genetic divergence studies in little millet panicum sumatrense roth ex roem schult using d2 statistics and molecular markers |
| topic | little millet variance parameters genetic divergence d2 statistics molecular markers |
| url | https://ejplantbreeding.org/index.php/EJPB/article/view/5116 |
| work_keys_str_mv | AT kinalpatelarnadasdhrumidalsaniyahadassahmamidipallisanjithvasalaandharshalepatil2 geneticdivergencestudiesinlittlemilletpanicumsumatrenserothexroemschultusingd2statisticsandmolecularmarkers |