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Cited by 5

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Understanding of genetic variables for growth and yield traits of dill (Anethum graveolens L.)

Sinhasane, Shalaka Ramling, Shinde, Uday S., Dhumal, Sangram Sahebrao, Aher, Adhir R., Manjunathagowda, Dalasanuru Chandergowda, Benke, Ashwini Prashant·2022·Genetic Resources and Crop Evolution
DOI 10.1007/s10722-022-01409-3
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Abstract

Dill (Anethum graveolense L.) is one of the neglected and minor spice crop, with low genetic variability. The genetic improvement of dill is being limited due to lack of genetic resources. Dill is mainly grown for seed as well as foliage leaf, the leaf yields are varied with the genetic background of genotypes. Therefore, the selection of genotypes with high leaf yield is highly desired, along with magnitude of heritability and genetic advance for wider adaptation and cultivation. In this view, the local genotypes were collected and their genetic variables were assessed, and results of analysis of variance revealed the significant differences among the genotypes. High heritability coupled with high genetic advance as per cent over mean was observed for economical trait (85.5 and 34.7% for leaf yield, respectively) indicated that, the traits were highly heritable in nature, hence selection breeding is most effective. The phenotypic coefficient of variation was noted low (3.29–8.66), medium (10.6–18.2) and high (26.9), and genotypic coefficient of variation witnessed low (1.71–8.1), medium (10.3–17.5) and high (24.0) variation among genotypes and lines. The leaf yield was highly significant, positively correlated with growth and other yield traits. The genotypic correlation was greater than the phenotypic correlation among the genotypes. Hence, either simple selection, or mass selection of desirable traits and their associated traits would be effective for improvement of leaf y…

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Research works printed but not linked: 35

  1. Ameta HK, Ranjan JK, Kakani RK, Mehta RS, Solanki RK, Panwar A, Kumhar BL (2016) Genetic variability studies in coriander (Coriandrum sativum L.). Int J Seed Spices 6(2):103–105
  2. Burton GW, De-vane (1953) Estimating heritability in tall fescue (Fescue arundinacea) from replicated clonal material. Agron J 45:478–481 · DOI
  3. Bhargava A, Shukla S, Ohri D (2003) Genetic variability and heritability of selected traits during different cuttings of vegetable Chenopodium. Indian J Gen Plant Breed 63(04):359–360
  4. Carruba A, Catalano C, Bontempo R (2011) Cultivation of dill with different row arrangements. Acta Hort 12:205–211 · DOI
  5. Choudhary M, Kakani RK, Meena RS, Gauhar T (2018) Variability and character association studies in dill (Anethum graveolens and Anethum sowa). Int J Seed Spices 8(1):31–35
  6. Dewey DR, Lu KH (1959) A correlation and path coefficient analysis of components of wheat grass seed production. Agron J 51:515–518 · DOI
  7. Dhayal LS, Bhargava SC, Mahala SC (1999) Studies on variability in cumin (Cuminum cyminum L.) on normal and saline soil. J Spices Aromatic Crops 8:197–199
  8. Farooq M, Hegde RV, Imamsaheb SJ (2017) Variability, heritability and genetic advance in coriander genotypes. Plant Arch 17(1):519–522
  9. Galton F (1988) Correlation and their measurements child head from anthropometric data. Proc R Soc 45:135–145
  10. Garcez JJ, Barros F, Lucas AM, Xavier VB, Fianco AL, Cassel E, Vargas RM (2017) Evaluation and mathematical modelling of processing variables for a supercritical fluid extraction of aromatic compounds from Anethum graveolens. Ind Crops Prod 95:733–741 · DOI
  11. Ghassemi-Golezani K, Zehtab-Salmasi S, Dastborhan S (2011) Changes in essential oil content of dill (Anethum graveolens L.) organs under salinity stress. J Med Plants Res 5(14):3142–3145
  12. Hanson CH, Robinson CRE (1956) Biometrical studies of yield in segregating populations of Korean Lespedeza. Agron J 48:268–375 · DOI
  13. Heywood VH (1971) Biology and chemistry of the Umbelliferae. 438 S. Academic Press, London 84, pp 7–8
  14. Jana S, Shekhawat GS (2010) Anethum graveolens L: an Indian traditional medicinal herb a spice. Pharmacog 4(8):179–184
  15. Johnson HW, Robinson HF, Comstock RE (1955) Estimates of genetic and environmental variability in soybean. Agron J 47:314–318 · DOI
  16. Jyothi KR, Mishra P, Sujatha M, Joshi V (2017) Genetic variability, heritability and genetic advance for yield and its component in indigenous collection of coriander (Coriandrum sativum L.) Germplasm. Int J Pure App Biosci 5(3):301–305 · DOI
  17. Lawrence BM (1996) Progress in essential oils. Perfum Flav 21(3):55–67
  18. Li, Xu YP, Zou C, u Y, Xie C, Zhang X, Prasanna BM, Olsen MS (2017) Enhancing genetic gain in the era of molecular breeding. J Exp Bot 68:2641–2666 · DOI
  19. Manjunathagowda DC, Anjanappa M (2021) Genetic variability studies for yield and yield contributing traits in onion (Allium cepa L.). Vegetos 34(1):174–82 · DOI
  20. Meena RS, Choudhary M, Kakani RK, Gauhar T (2018) Variability and character association studies in dill. Int J Seed Spices 8:31–35
  21. Megeji NW, Korla BN (2002) Genetic variation in coriander. Haryana J Hort Sci 31:292–293
  22. Miller PA, Al‐Jibouri HA, Robinson HF (1958) Genotypic and environmental variances and covariances in an upland Cotton cross of inter specific origin. Agron J 50(10):633–636 · DOI
  23. Otari B (2018) Studieson genetic variabilityin dill (AnethumgraveolensL.).M Sc (Hort.) Thesis, Mahatma Phule Krishi Vidyapeeth, Rahuri, Maharshtra, India
  24. Pearson K (1904) On the generalized theory of alternative inheritance with special reference to Mendel law. Philos Trans R Soc 203:53–86
  25. Sagbhor D (2018) Studies on genetic variability in fenugreek (Trigonella foenum L.): M.Sc. (Hort.) Thesis, Mahatma Phule Krishi Vidyapeeth, Rahuri, Maharshtra, India
  26. Searle SR (1961) Phenotypic, genotypic and environmental correlations. Biometrics 17:474–480 · DOI
  27. Shukla S, Singh PK, Garg VK (2003) Study on genetic variability and heritability in fennel grown on sodic soils. J Med Arom Plant Sci 25:956–958
  28. Singh BS, Jadeja GC (2006) Genetic variability studies in cumin (Cuminum cyminum L.). Crop Res 32:560–562
  29. Singh D, Jain UK, Rajput SS, Khandelwal V, Shiva KN (2006) Genetic variation for seed yield and its components and their association in coriander (Coriandrum sativum L.) germplasm. J Spices Aromatic Crops 15(1):25–29
  30. Solanki SK, Dodiya NS (2014) Assessment of genetic variability, the correlation for yield and its component characters in dill (Anethum graveolens L.). Int J Plant Sci 9(1):234–236
  31. Thakur R (2018) Variability and association studies for foliage yield components and its quality parameters in coriander (Coriandrum sativum L.). M.Sc. Thesis, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh, India
  32. Vijayalatha KR, Chezhiyan N (2004) Correlation and path analysis studies in coriander (Coriandrum sativum L.). South Indian Hort 52:248–251
  33. Wricke G, Weber WE (1986) Quantitative genetics and selection in plant breeding. Walter De Gruyter and Co., Berlin · DOI
  34. Wright TS (1992) Correlation and causation. J Agric Res 20:557–558
  35. Xu YP, Li ZC, Lu Y, Xie C, Zhang X, Prasanna BM, Olsen MS (2017) Enhancing genetic gain in the era of molecular breeding. J Exp Bot 68:2641–2666 · DOI

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Metadata

Authors
Sinhasane, S. R., Shinde, U. S., Dhumal, S. S., Aher, A. R., Manjunathagowda, D. C., & Benke, A. P.
ORCID
Manjunathagowda, Dalasanuru Chandergowda
Venue
Genetic Resources and Crop Evolution
Publisher
Springer Science and Business Media LLC
Published
2022-07-05
Volume
69
Issue
7
Pages
2575-2584
ISSN
  • 0925-9864
  • 1573-5109
DOI
10.1007/s10722-022-01409-3
Cited by
5
References
1
Language
en
Licence

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