Assessment of genetic variability for quantitative and qualitative traits in Rice Germplasm Accessions (Oryza sativa L.).

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Bulletin of Environment, Pharmacology and Life Sciences Bull. Env. Pharmacol. Life Sci., Vol 6 Special issue [] 27: 76-83 27 Academy for Environment and Life Sciences, India Online ISSN 2277-88 Journal s URL:http://www.bepls.com CODEN: BEPLAD Global Impact Factor.533 Universal Impact Factor.98 NAAS Rating.95 FULL LENGTH ARTICLE OPEN ACCESS Assessment of genetic variability for quantitative and qualitative traits in Rice Germplasm Accessions (Oryza sativa L.). Prakriti Meshram, Sandeep Bhandarkar, Yogita Shrivas, S.K.Nair, G.C. Ojha and A.K. Pachauri Department of Genetics and Plant Breeding, COA, IGKV, Raipur (C.G.)-922 ABSTRACT Plant genetic resources in rice crops and their wild relatives are of immense value to mankind. The plant breeders require reservoir of genetic variation for crop improvement. The larger reservoirs of variation are better chances of finding the particular characters, such as resistance genes for diseases and adaptation to wider ecological amplitudes and stress conditions. the process of genetic erosion necessitates measures that germplasm must be conserved in such a manner that there are minimal losses or changes in genetic variability of the population. the present paper objective is Assessment of genetic variability for quantitative and qualitative traits in Rice Germplasm Accessions (Oryza sativa L.). keywords: Genetic variability, Oryza sativa, Stress Received 2.7.27 Revised 6.8.27 Accepted 25.8.27 Introduction Rice (Oryza sativa L.), the world s most important cereal crop, is the primary source of food and calories for about half of the human population. Taxonomically, rice is classified in the family Poaceae and subfamily Oryzoideae. India ranks st in area (3.95 million ha) and 2nd in production (3.6 million tonnes), after China (2nd advance estimate, 25-6, Department of Agriculture, Cooperation and Farmer s Welfare, Ministry of Agriculture, GOI), and productivity of 62 Kg/ha (Anonymous, 25). Rice, being the staple food for more than 7 per cent of the population and the source of livelihood for 2-5 million rural households, is the backbone of the Indian agriculture. Plant genetic resources in rice crops and their wild relatives are of immense value to mankind. The plant breeders require reservoir of genetic variation for crop improvement. The larger reservoirs of variation are better chances of finding the particular characters, such as resistance genes for diseases and adaptation to wider ecological amplitudes and stress conditions. However, in the wake of increase of high yielding varieties, this genetic variability comprising landraces is steadily getting eroded resulting in the large scale depletion of variability. This situation thus demands priority action to conserve such germplasm (Sarawgi et al.23). Further, the process of genetic erosion necessitates measures that germplasm must be conserved in such a manner that there are minimal losses or changes in genetic variability of the population. MATERIALS AND METHODS The material for the present investigation consisted of rice germplasm accessions received from NBPGR, New Delhi during Kharif 26 at IGKV, Raipur. Each entry was sown in a plot comprising three rows having three meter length at spacing of 2 cm between rows and 5 cm between plants. The recommended agronomical practices were followed to raise good crop in the season. Observations were recorded on five randomly chosen plants of each accession for twenty four morphological and sixteen agronomical traits. The traits studied were Coleoptile colour, Seedling colour, Basal leaf sheath colour, Leaf colour, Auricle, Collar, Ligule, Leaf margin colour, Stigma colour, Leaf intensity of green colour, Leaf anthocyanin colouration, Leaf distribution of anthocyanin colour, Leaf pubescence of blade surface, Leaf auricle, Leaf anthocyanin colouration of auricle, Leaf collar, Leaf anthocyanin colouration of collar, Ligule, Shape of ligule, Colour of ligule, Flag leaf attribute of blade, Stem anthocyanin colouration of nodes, Stem anthocyanin colouration of internodes, Panicle awn, Coleoptile length (cm), Seedling length (cm), Leaf length (cm), Leaf width (cm), Plant height (cm), Panicle length (cm), No. of tillers per plant, No. of BEPLS Vol 6 Spl issue [] 27 76 P a g e 27 AELS, INDIA

effective tillers per plant, Biological yield (g), Grain yield (g), Harvest index, Filled spikelets per panicle, Unfilled spikelets per panicle, Grains weight (g), Grain length (mm) and Grain width (mm). Accessions were characterized using morpho-agronomic descriptors according to DUS guidelines (DRR, 26). Frequency distribution was computed to categorize the accession into different classes. Simple statistics (means, ranges) was calculated to have an idea of the level of variation. Results and Discussion (A) Morphological characterization: Qualitative characters are important for plant description and mainly influenced by the consumers preference, socioeconomic scenario and natural selection (Ismaeel et al., 26). Frequency distribution for 26 qualitative traits is depicted in Table. and its graphical representation of frequency distribution showed in Figure. Most of the morphological characters showed variation in different accessions except Coleoptile colour, Auricle colour, Collar colour, Leaf auricle, Leaf anthocyanin colouration of auricle, Leaf collar, Leaf anthocyanin colouration of collar, Ligule, Shape of ligule, Colour of ligule, Stem anthocyanin colouration of nodes, Stem anthocyanin colouration of internodes and panicle awns. A majority of accessions were found to possess Seedling colour (dark green 2%),Basal leaf: sheath colour (96% green), leaf margin colour (96 absent), Stigma colour (8% purple), Leaf intensity of green colour (38% dark green), Leaf anthocyanin colouration (96% absent), Leaf distribution of anthocyanin colouration (96 % margin only), leaf pubescence of blade surface (strong 2%) and Flag leaf attitude of blade ( % horizontal). Similar type of work was also reported by Bisne and Sarawgi (28), and Ahmed et al. (26). Based on the morphological descriptors accessions were classified for characters presented in table. The quantitative characters of twenty four () rice germplasm line including three varieties (Checks) were analyzed using Randomized Block Design (RBD). To take the observation for the characters five plant per row in each replication (three replications) were taken. (B) Agronomical characterization: Rice accessions were evaluated for agronomical traits viz., Coleoptile length (cm), Seedling length (cm), Leaf length (cm), Leaf width (cm), Plant height (cm), Panicle length (cm), Number of tillers per plant, Number of effective tillers per plant, Biological yield (g), Grain yield (g), Harvest index, Filled spikelets per panicle, Unfilled spikelets per panicle, Grains weight (g), Grain length (mm) and Grain width (mm). The descriptive statistics were employed to assess the magnitudes of genetic variation and Analyses Of Variance are presented in Table 2. and Table 2.2 respectively. The analysis of variance revealed that the mean sum of square for the rice germplasm lines were significant for all characters except Coleoptile length, Leaf width, Biological yield, Grain yield, grains weight, Grain length and Grain width. This is the indication of sufficient variability present among the germplasm and varieties under study. The character Coleoptile length (cm) varied between. (cm) to.533 (cm) with a mean of.292 and having standard error mean.38. The highest mean performance was recorded for line IC7585 (. cm) whereas the lowest mean performance was recorded for line IC2666 (.533 cm). Coleoptile length in rice is a multifaceted character (Cheema et al., 987). The character Seedling length (cm) varied between 6.333 (cm) to 2.667 (cm) with a mean of 8.3 cm and having standard error mean.55. The highest mean performance was recorded for line IC75839 (2.667 cm) whereas the lowest mean performance was recorded for line IC558 (6.333 cm). The character Leaf length (cm) varied between 3.6 (cm) to 7.67 (cm) with a mean of 5.9 and having standard error mean 3.53. Line IC2666 showed the highest mean performance and line IC7585 showed lowest mean performance for this trait. Leaf width had mean of.6 (cm) and having minimum range of.33(cm) and maximum range of 2. cm. ARC 55 showed highest mean 2. (cm) and line IC7585 showed lowest mean.33 (cm) performance for this trait. Plant height and Seedling length in rice is a complex character and is the product of several genetically controlled factors called internodes (Cheema et al., 987). The character Plant height (cm) varied between 77.367 (cm) to 52.7 (cm) with a mean of 8.332 cm and having standard error mean 2.666. The highest mean performance was recorded for line IC75839 (52.7 cm) whereas the lowest mean performance was recorded for line IC558 (77.367 cm). Plant height in rice is a complex character and is the product of several genetically controlled factors called internodes (Cheema et al., 987). Plant height in rice is a multifaceted character and the end product of a number of genetically controlled factors called internodes (Cheema et al., 987). Reduction in plant height may develop their resistance to lodging and reduce substantial yield losses associated with this trait (Abbasi et al., 995). Hien et al., (27) reported that improvement of aromatic rice cultivars also should focus on both decreasing the plant height and increasing the culm strength. BEPLS Vol 6 Spl issue [] 27 77 P a g e 27 AELS, INDIA

The mean performance of Panicle length (cm) is.8 cm and varied between 2.7 and 29.633 with a standard error mean.767. Panicle length showed the highest mean performance of (29.633 cm) for line IC7587 and line IC26563 (2.7 cm) showed the lowest mean value. Panicle length contributes positively yet maximum panicle length is not the only factor responsible for higher grain yield. Abbasi et al., (995) observed that the rice variety DR-39 had maximum panicle length but due to lower grain fertility exhibited lower grain yield. So panicle length alone does not determine the high grain yield as traits such as grain size, grain shape, higher numbers of tillers/plant, longer panicles and greater number of grains/panicle ultimately contribute to higher grain yield. Number of tillers per plant had mean of.858 with a standard error mean.79 and having minimum range 8.667 and maximum range 67.667. Line IC75767 showed highest mean performance (67.667), however the lowest mean value of this particular trait was recorded in ARC 55 (8.667) tillers per plant Number of effective tillers per plant varied between 8.333 to 67.667 having standard error mean 3.637 with mean average of 22.93. For this character line IC75767 (67.667) showed the highest mean performance however the lowest mean performance for this particular character was showed by ARC 55 (8.667). Biological yield had mean value.57 (g) and having minimum range.63(g) and maximum range.28(g). IC75767 showed highest mean.282 (g) and line IC2662 showed lowest mean.63 (g) performance for this trait. Grain yield had mean value. (g) and having minimum range.2(g) and maximum range.93(g). IC75795 showed highest mean.93 (g) and line IC75889 showed lowest mean.3 (g) performance for this trait. Harvest index having mean value 27.5 and varied in range of 9.7 to 5.69. The character Filled spikelets per panicle with a mean of 75.967 varied between 77.333 to 265.333 and having standard error mean 6.79. Line IC 2759 showed the highest mean performance and line IC7587 showed lowest mean performance for this trait. Unfilled spikelets per panicle varied between 23 to 26 with a mean of 59.25 and having standard error mean 3.. Line IC2669 showed the highest mean performance and line IC75889 showed lowest mean performance for this trait. The trait grains weight of rice having ranges.63 (g) and 3.8 (g) with average 2.2 (g). The character Grain length having ranges in between 5.8 (mm) and 9.9 (mm) with an average 8.5 (mm). Grain width having mean value 2.556 (mm) and varied in ranges of 2.3 to 3.3(mm). Table.: Description of morphological and qualitative characters S. No. Characteristics States No. of genotype Frequency % Coleoptile colour White Green Purple 2 Seedling colour Dark green Green Light green Yellow 3 Basal leaf sheath colour Green Light Purple Purple Leaf colour Dark green Light green Medium green 5 23 8 6 5 Auricle Green 6 Collar Pale Green 7 Ligule Split 8 Leaf margin colour Absent purple 9 Stigma colour White Purple Leaf intensity of green colour Dark green Light green Green Medium green Leaf anthocyanin colouration Absent 2 Leaf distribution of anthocyanin colour Tip margin On Tip only On margin only 23 22 2 9 8 2 5 23 23 2 6 6 7 96 2 33 25 96 92 8 38 33 8 2 96 96 BEPLS Vol 6 Spl issue [] 27 78 P a g e 27 AELS, INDIA

In blotches only Uniform 3 Leaf pubescence of blade surface Medium Strong Week Leaf auricle Absent 5 Leaf anthocyanin colouration of auricle Colourless Light purple Purple 6 Leaf collar Absent 7 Leaf anthocyanin colouration of collar Absent 8 Ligule Absent 9 Shape of ligule Truncate Acute split 2 Colour of ligule White Green 2 Flag leaf attribute of blade Erect Semi erect Horizontal 22 Stem anthocyanin colouration of nodes Absent 23 Stem anthocyanin colouration of internode Absent Panicle awn Absent 7 7 3 29 2 29 2 5 Fig. : Frequency distribution of genotype based on morphological characters Basal Leaf Sheath Colour Leaf Colour Coleoptile Colour Seedling Colour BEPLS Vol 6 Spl issue [] 27 79 P a g e 27 AELS, INDIA

Stigma Colour Leaf Intensity of Green Colour Leaf Anthocynin Colouration Leaf Pubescence of Blade Surface Leaf Anthocynin Colouration of Auricle Leaf Collar Leaf Anthocynin Colouration of Collar Ligule BEPLS Vol 6 Spl issue [] 27 8 P a g e 27 AELS, INDIA

Shape of Ligule Colour of Ligule Flag Leaf Attribute of Blade Stem Anthocyanin Coloration of Nodes Panicle Awn Stem Anthocyanin Colouration of Internodes Spikelet Colour of Stigma BEPLS Vol 6 Spl issue [] 27 8 P a g e 27 AELS, INDIA

Leaf Distribution of Anthocyanin Colour Auricle Leaf Auricle Table: 2.- Descriptive statistics of rice germplasm accessions S. No. Characters Range C.D. SE(m) SE(d) C.V. Mean Min. Max. Coleoptile length (cm).292..533..38.5 22.82 2 Seedling length (cm) 8.3 6.33 2.66..55.7.7 3 Leaf length (cm) 5.9 3.6 7.6.32 3.53.968.832 Leaf width (cm).6.3 2..358.25.77 3.9 5 Plant height (cm) 8.332 77.36 52.7 7.63 2.666 3.77.262 6 Panicle length (cm).8 2.7 29.63 2.9.767.85 5.355 7 No. of tillers per plant.8 8.66 67.66.68.79 5.768 29.26 8 No. of effective tillers per 22.93 8.33 67.66.386 3.637 5.3 27.7 plant 9 Biological yield (g) 57 63 28.6.6.8 6.25 Grain yield (g) 2 93.35.553 2.96 9.96 Harvest index 27.5 9.7 5.69.7.3..58 2 Filled spikelets per 75.97 77.33 265.33 7.66 6.79 8.738 6.8 panicle 3 Unfilled spikelets per 59.25 23 26 8.88 3.. 9. panicle Grains weight (g) 2.26.63 3.8.6.22.32.79 5 Grain length (mm) 8.5 5.83 9.9.7.6.86.7 6 Grain width (mm) 2.556 2.3 3.3.5.53.75 3.586 BEPLS Vol 6 Spl issue [] 27 82 P a g e 27 AELS, INDIA

Characters Meshram et al Table: 2.2- Analysis of variance for quantitative characters Mean sum of squares Replication (d.f.= 2) Treatment (d.f.= 23) Error (d.f.= 6) -Coleoptile length (cm)..53. 2-Seedling length (cm).87 7.796*.789 3-Leaf length (cm). 37.669** 37.8 -Leaf width (cm).62.236.7 5-Plant height (cm) 5.279 2,35.99** 2.32 6-Panicle length (cm).62 2.3**.765 7-No. of tillers per plant 3.97 66.55** 9.99 8-No. of effective tillers per plant 5.68 635.825** 39.68 9-Biological yield(g).2..6 -Grain yield (g)... -Harvest index.52 353.98** 7.23 2-Filled spikelets per panicle 76.792,66.**.53 3-Unfilled spikelets per panicle 2.52 5,29.88** 29.3 - Grains weight (g).2.35.2 5-Grain length (mm)..976. 6-Grain width (mm).7.28.8 ** Significant at % and * Significant at 5% REFERENCES. Abbasi, F.M., M.A. Sagar, M. Akram and M. Ashraf, 995. Agronomic and quality traits of some elite rice genotypes. Pakistan J. Sci. Indust. Res., 38: 38 5 2. Ahmed, M.S.U., Bashar, M. K., Wazuddin, M. and Shamsuddin, A.K.M. (26). Agro-morphological qualitative characterization of Jesso-Balam rice (Oryza sativa L.) accessions in Bangladesh. International Journal of Agronomy and Agricultural Research. 8 (): 5-58. 3. Bisne, R. and Sarawgi, A.K. 28. Agro-morphological and quality characterization of badshah bhog group from aromatic rice germplasm of Chhattisgarh. Bangladesh J. Agril. Res., 33(3): 79-92.. Cheema, A.A., M.A. Awan and J. Iqbal, 987. Improvement of Plant Height Architecture in Basmati Rice. Pakistan J. Agric. Res., 8: 37 5. Ismaeel, M., Ali Shah, S. M., Nawaz, A., Rehman, Suliman, A. U. and S., Khan. A. (26).Morphological diversity of 83 rice accessions for qualitative and quantitative parameters. International Journal of Biosciences. 9 (3): 58-69. CITATION OF THIS ARTICLE Prakriti Meshram, Sandeep Bhandarkar, Yogita Shrivas, S.K.Nair, G.C. Ojha and A.K. Pachauri. Assessment of genetic variability for quantitative and qualitative traits in Rice Germplasm Accessions (Oryza sativa L.).. Bull. Env. Pharmacol. Life Sci., Vol 6 Special issue, 27: 76-83 BEPLS Vol 6 Spl issue [] 27 83 P a g e 27 AELS, INDIA