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Thakur, Garima
- Effectiveness and Efficiency of Gamma Rays and EMS (Ethyl Methane Sulphonate) in Linseed (Linum usitatissimum L.)
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1 Department of Genetics and Plant Breeding, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
1 Department of Genetics and Plant Breeding, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
Source
Himachal Journal of Agricultural Research, Vol 47, No 2 (2021), Pagination: 163-168Abstract
Mutagenic effectiveness and efficiency of gamma rays and EMS was studied based on biological injury (lethality and pollen sterility) in M generation and frequency of chlorophyll mutation in M generation. The 1 2 results showed presence of radina, chlorina, xantha and albino type of chlorophyll chimeras in linseed and with the maximum frequency of chimeras at 60 kR (0.490 %) gamma rays and 0.6 per cent EMS (0.476 %). No dose dependent relationship was observed for both effectiveness and efficiency and varied according to cultivars of linseed. However, the gamma rays doses were found more effective and efficient then EMS.Keywords
Chemical Mutagen, Gamma Rays, Effectiveness, Efficiency, Linseed.References
- Baisakh B, Das TR and Nayak BK. 2011. Efficacy of physical and chemical mutagenic treatments in developing desire micro-mutants of urdbean. Journal of Food Legumes 24: 106-109.
- Bind D, Dwivedi VK and Singh SK. 2016. Induction of chlorophyll mutations through physical and chemical mutagenesis in cow pea (Vigna unguiculata (L.) Walp). International Journal of Advanced Research 4: 49.
- Das T R and Misra RC. 2005. Genetic analysis of mutagen induced variability in yield traits in greengrams (Vigna radiate). Environment & Ecology 23 (2): 381-384.
- Das TR and Prusti AM. 2020. Mutagenic Effectiveness and Efficiency of Gamma Rays, EMS and NG in greengram (Vigna radiate L. Wilczek). International Journal of Current Microbiology and Applied Sciences 9: 23362344.
- Das TR, Baisakh B and Prusti AM. 2021. Studies on mutagenic effectiveness and efficiency of gamma rays, ethyl methane sulfonate, nitrosoguanidine, maleic hydrazide and their combination in greengram (Vigna radiate L. Wilczek). International Journal of Current Microbiology and Applied Sciences 10 (01):33543362.
- Das TR, Misra RC and Sahu PK. 2006. Efficiency of mutagenic treatments in expression of macro and micro mutations in M generation in greengram and its early 2 predictability on basis of M parameters. Environment 1 & Ecology 24 (2):283-288.
- Deka SK. 2016. Studies on the mutagenic effects of Ethyl methane sulphonate (EMS) and diethyl sulphate (dES) in Linseed (Linum usitatissimum L.). Ph D Thesis, p 181. Department of Botany, Gauhati University, Guwahati, Assam, India
- Gaul H. 1960. Critical analysis of the methods for determining the mutation frequency after seed treated with mutagens. Agriculture Genetics 12: 297-318.
- Girija M and Dhanavel D. 2013. Induced chlorophyll mutations in cowpea (Vigna unguiculata L. Walp). International Journal of Current Research 2:136-140 Green AG and Marshall DR. 1984. Isolation of induced mutants in linseed (Linum usitatissimum) having reduced linolenic acid content. Euphytica 33: 321-328.
- Green AG. 1986. A mutant genotype of flax (Linum usitatissimum L.) containing very low levels of linolenic acid in its seed oil. Canadian Journal of Plant Science 66: 499-503.
- Gunckel JE and Sparrow AH. 1961. Ionizing radiation, biochemical, physiological and morphological aspects of their effects on plants. Encyclopedia Plant Physiology (Ruhland W) Springer-verlag, Berlin 16: 555-611.
- Jahan R, Amin R, Ansari SB, Malik S and Khan S. 2019. Sodium azide affects the qualitative and quantitative traits of Linum usitatissimum L (var. Padmini) in M 1 generation. International Research Journal of Pharmacy 10:45-48.
- Konzak CF, Nilan RA, Wagner J and Foster RJ. 1965. Efficient chemical mutagenesis. The use of induced mutations in plant breeding (FAO / IAEA Meeting, Rome). Radiation Botany (Suppl.) 75: 49-70.
- Kumari V, Chaudhary HK, Prasad R, Kumar A, Singh A, Jambhulkar S and Sanju S. 2016. Frequency and spectrum of mutations induced by gamma radiations and ethyl methane sulphonate in Sesame (Sesamum indicum L.). Scientia 14:270-278
- Monika S and Seethraman N. 2017. Induced chlorophyll and viable mutation in Lablab purpureus (L.) sweet var. typicus through gamma rays and ethyl methane sulphonate. International Journal of Pharmacology and Biological Sciences 8 (2): 240 -249.
- Nilan RA and Konzak CF. 1961. Increasing the efficiency of mutation induction. In: Mutation and Plant Breeding, NAS-NRC: 437-460.
- Sagade AB and Apparao BJ. 2011. M generation studies in 1 urdbean (Vigna mungo (L.) Hepper). Asian Journal of Experimental Biological Sciences 2 (2): 372-375.
- Sharma SK, Sood R and Pandey DP. 2005. Studies on mutagen sensitivity, effectiveness and efficiency in urdbean (Vigna mungo (L.) Hepper). Indian journal of Genetics and Plant Breeding 65: 20-22.
- Singh KK, Mridula D, Rehal J and Barnwal P. 2011. Flaxseed- a potential source of food, feed and fiber. Critical Reviews in Food Science and Nutrition 51:210222.
- Singh SB and Marker S. 2006. Linseed: A plant with many uses. Agrobios Newsletter 5: 1-3.
- Usharani KS and Kumar ACR. 2015. Mutagenic efficiency and effectiveness of gamma rays and EMS and their combination in inducing chlorophyll mutations in M 2 generation of urdbean (Vigna mungo (L.) Hepper). Electronic Journal of Plant Breeding 6 (1): 210-217.
- Genetic variability for seed yield and its component traits in linseed (Linum usitatissimum L.)
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Authors
Affiliations
1 Department of Genetics and Plant Breeding, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
1 Department of Genetics and Plant Breeding, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
Source
Himachal Journal of Agricultural Research, Vol 48, No 2 (2022), Pagination: 151-156Abstract
To determine genetic variability of thirty linseed genotypes, an experiment was conducted using randomised block design under zero budget natural farming at CSKHPKV Palampur, Himachal Pradesh. Significant analysis of variance was found for yield and yield contributing traits. Primary branches per plant, secondary branches per plant, capsules per plant, biological yield per plant and seed yield per plant had higher PCV values whereas, traits secondary branches per plant and capsules per plant had high PCV and GCV values, indicating the possibility of genetic improvement through direct selection for these traits whereas, days to 50 per cent flowering, days to 75 per cent maturity, seeds per capsule, 1000 seed weight and oil content had low PCV. High heritability (>60%) was observed for oil content, days to 50 per cent flowering, days to 75 per cent maturity, secondary branches per plant, capsules per plant and 1000 seed weight. High heritability along with high genetic advance was observed for secondary branches per plant and capsules per plant indicating prevalence of additive gene action, which provides good scope for further improvement by selection.Keywords
Variability, heritability, genetic advance, linseed, PCV, GCV.References
- Ahmad R, Ibrar D, Yasin MM, Mahmood T, Khan MA, Iqbal MS and Ahmad M. 2014. Genetic variability, heritability and genetic advance in some genotypes of linseed Linum usitatissimum L. Journal of Agricultural Research 1: 03681157.
- Akbar M, Mahmood T, Anwar M, Ali M, Shafiq M and Salim J. 2003. Linseed improvement through genetic variability, correlation and path coefficient analysis. International Journal of Agricultural Biology 3:303-305.
- Banjare AK, Marker S, Verma RK and Tiwari A. 2019. Genetic variability analysis for plant selection in linseed (Linum usitatissimum L.). Journal of Pharmacognosy and Phytochemistry 6: 555-558.
- Bayisa T, Tefera and Letta T. 2020. Genetic variability, heritability and genetic advance among bread wheat genotypes at Southeastern Ethiopia. Agriculture, Forestry and Fisheries 4: 120-128.
- Bello OB, Ige SA, Azeez MA, Afolabi MS, Abdulmaliq SY and Mahamood J. 2012. Heritability and genetic advance for grain yield and its component characters in maize (Zea mays L.). International Journal of Plant Research 5: 138-145.
- Bhushan S, Ram S, Kumar S, Choudhary AK, Choudhary VK and Ahmad E. 2019. Genetic variability and selection response for yield and its component traits in linseed (Linum usitatissimum L.). Journal of Agriculture Search 6: 46-49.
- Bibi T, Mahmood T, Mirza Y, Mahmood T and Ejaz-ulHasan. 2013. Correlation studies of some yield related traits in linseed (Linum usitatissimum L.). Journal of Agricultural Sciences 51: 121-132.
- Biradar SA, Ajithkumar K, Rajanna B, Savitha AS, Shubha GV, Shankergoud I, Chittapur BM and Singh PK. 2016. Prospects and challenges in linseed (Linum usitatissimum L.) production: A review. Journal of Oilseeds Research 33: 1-13.
- Burton GW and De Vane E. 1953. Estimating heritability in tall fescue (Festuca arundinacea). Agronomy Journal 45: 478-481.
- Choudhary AK, Marker S and Rizvi AF. 2017. Genetic variability and character association for seed yield in linseed (Linum usitatissimum L.) under rainfed conditions. Journal of Pharmacognosy and Phytochemistry 5: 457-460.
- Dabalo DY, Singh BCS and Weyessa B. 2020. Genetic variability and association of characters in linseed (Linum usitatissimum L.) plant grown in central Ethiopia region. Saudi Journal of Biological Sciences 8: 2192- 2206.
- Johnson HW, Robinson HF and Comstock RE. 1955. Estimates of genetic and environmental variability in soybeans. Agronomy Journal 7: 314-318.
- Kanwar RR, Saxena RR and Ekka RE. 2014. Variability, heritability and genetic advance for yield and some yield related traits in linseed (Linum usitatissimum L.). Agricultural Science Digest-A Research Journal 34: 154-156.
- Khan MA, Mirza MY, Akmal M, Ali N and Khan I. 2007. Genetic parameters and their implications for yield improvement in sesame. Sarhad Journal of Agriculture 3: 623-627.
- Kumar N, Paul S and Patial R. 2015. Assessment of genetic variability, heritability and genetic advance for seed yield and it’s attributes in linseed (Linum usitatissimum L.). Plant Archives 2: 863-867.
- Kumar S, Kerkhi SA, Gangwar LK, Chand Pand Kumar M. 2012. Improvement in the genetic architecture through study of variability, heritability and genetic advance in linseed crop (Linum usitatissimum L.). International Journal of Research in Engineering, IT and Social Sciences 9: 58-65.
- Kumar S, Ram S, Chakraborty M, Ahmad E, Verma N, Lal HC and Choudhary AK. 2019. Role of genetic variability for seed yield and its attributes in linseed (Linum usitatissimum L.) improvement. Journal of Pharmacognosy and Phytochemistry 2: 266-268.
- Manggoel W, Uguru MI, Ndam ON and Dasbak MA. 2012. Genetic variability, correlation and path coefficient analysis of some yield components of ten cowpea (Vigna unguiculata L.) accessions. Journal of Plant Breeding and Crop Science 5: 80-86.
- Millam S, Obert B and Pretova A. 2005. Plant cell and biotechnology studies in Linum usitatissimum –a review. Plant Cell, Tissue and Organ Culture 82: 93-103.
- Mirza MY, Khan MA, Akmal M, Mohmand AS, Nawaz MS, Nawaz N and Ullah N. 2011. Estimation of genetic parameters to formulate selection strategy for increased yield in linseed. Pakistan Journal of Agricultural Research 24: 1-4.
- Namrata D and Nandan M. 2019. Estimation of genetic variability and correlation in F segregating generation 2 in linseed (Linum usitatissimum L.). Plant Archives 1: 475-84.
- Patial R, Paul S, Sharma D, Sood VK and Kumar N. 2019. Morphological characterization and genetic diversity of linseed (Linum usitatissimum L.). Journal of Oilseeds Research 1: 8-16.
- Panse VG and Sukhatme PV. 1984. Statistical Methods for Agricultural Workers. Indian Council of Agricultural Research, New Delhi, pp 359.
- Paul S and Kumar PS. 2020. Genetic variability, correlation and path coefficient analysis of introduced genotypes of linseed (Linum usitatissimum L.) in mid-hills of NorthWest Himalayas. Journal of Pharmacognosy and Phytochemistry 1: 1189-92.
- Sheoran OP, Tonk DS, Kaushik LS, Hasija RC and Pannu RS. 1998. Statistical software package for agricultural research workers. Recent Advances in Information Theory, Statistics & Computer Applications. Department of Mathematics Statistics, CCS HAU, Hisar, pp 139–143. http://14.139.232.166/ opstat/defaultasp
- Singh A, Rai PK, Kumar A, Marker S and Yadav PK. 2015. Study on variability, heritability and correlation coefficient among linseed (Linum usitatissimum L.) genotypes. Advances in Applied Science Research 6: 14-17.
- Tadesse T, Parven A, Singh H and Weyessa B. 2010. Estimates of variability and heritability in linseed germplasm. International Journal of Sustainable Crop Production 3: 8-16.
- Terfa GN and Gurmu GN. 2020. Genetic variability, heritability and genetic advance in linseed (Linum usitatissimum L.) genotypes for seed yield and other agronomic traits. Oil Crop Science 3: 156-160.
- Thakur R, Paul S and Satasiya P. 2020. Genetic variability and path analysis for yield and its related traits in linseed (Linum usitatissimum L.). International Journal of Current Microbiology and Applied Science 10: 2579- 2586.
- Tyagi AK, Sharma MK, Mishra SK, Kerkhi SA and Chand P. 2014. Estimates of genetic variability, heritability and genetic advance in linseed (Linum usitatissimum L.) germplasm. Progressive Agriculture 1: 37-48.
- Vardhan KM and Rao SS. 2012. Genetic variability for seed yield and its components in linseed (Linum usitatissimum L.). International Journal of Applied Biology and Pharmaceutical Technology 3: 200-202