improvement. Nepal has a wide, 2010). 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48. grain yield, grain length, cooking quality, aroma and refitting to various abiotic stresses. distinct across the genotypes. variable pair group method of the average linkage cluster analysis (UPGMA-Person) were used to Collection, preservation and characterization of such cultivars may provide great opportunity to utilize them in crop Much of the country is covered with jungles. and Biol. A Biometric Approach. Bankura district of West Bengal is also a great producer of rice. Thus, as MV replace local landraces the threat of genetic erosion and eventual extinction is increased. Based on this study highly distinguish and high yielding traditional rice genotypes (Sanna mundaga, Kasse bai and champakali) would be suitable for registration as farmers variety and such genotypes can also be utilized in crop improvement programme in terms both quality traits and high yield even as source or breeding material for pest and disease resistance. A significant amount of variation was displayed for most of the agronomical traits examined. International Journal of Conservation Science. UPGMA clustering of the genotypes was done where members of cluster IV were found to be more superior. In the present investigation, high heritability associated with high genetic advance was found in the characters grain yield per hill and sterility percentage. The overall net profit was Rs 16,147 per ha. using principal component analysis, and identify the potential parents for hybridization using Mahalanobis distance (D2). Based on D statistics, all the 64 cultivars were grouped into fourteen clusters. (0.2559*) showed positive and significant correlation with grain yield at phenotypic level. The mean square values of morphological traits correlated significantly in percent sterility 328.576, percent fertility 319.121, and 100 grams of seed weight 1.11788. METHODS: In this study, the dry seeds of O. sativa were irradiated at 0, 20, 40, 60, 80, 100, and 120 Gy, followed by in-vitro germination under controlled conditions. Indian Journal of Plant Genetic Resources. L-4, 5, 6, 8, 11, 25, 27, 29, 41, 42, 44, 45, 46, 47, 48, 61, 62, 63 and 64. and 39 . Grain characters showed polymorphism with respect to, hulled and non hulled grain length, width and color. L-2, 9, 10, 12, 14, 15, 16, 19, 22, 23, 24, 25, 27, 30, 31, 32, 39, 40, 41, 42, 44, 55, 56, 57, 58, 59, 60 and L-. Environmental influence was meagre on expression of characters as evidenced by narrow gap between GCV and PCV for most of the characters. Character association studies revealed significant and positive association of grain yield per plant with tillers per plant, panicle per plant, no. Landraces from Anadi group, Jetho Budo, Jarneli, and Rato Masino performed well in PC1 while landraces such as Mansara, Pakhe Sali, and Aanga performed well in PC2. Annually approximate 1.1 million tons of rice is being produced and on the basis of production it occupies second position in the world. These characters could be hypothesized as derived from mixing of germplasm either of cultivated or wild rice varieties indicating the possibilities of cross-pollination among wild, cultivated and weedy rice eco-types. Cluster analysis showed maximum and minimum intracluster distance in cluster VI (D2 = 35.77) and cluster I (D2 = 18.59), respectively. Bhanu Municipality, Tanahun (Table 1). Path coefficient analysis revealed that days to 50% flowering had highest positive direct effect on grain yield plant-1 followed by test weight and high density seed thus selection L-36, 40, 49, 50 51, 52, 53, 54, 55, 56 and 57. L-12, 15, 34, 40, 46, 44, 31, 35, 42, 47, 8, 41, 19, 9, 54, 55, 56 and 57. Five cluster groups were obtained from the 12 agro-morphological characters using multivariate analysis. including two accessions of cultivated rice (Oryza sativa L. subsp. Landraces from clusters V and VI or clusters III and VI or clusters IV and VI can be used in the hybridization program to develop the superior hybrids by exploiting heterosis in segregating generation. India is centre of origin and as per rice is concerned all together this country proudly possess 88,681 different variety of rice, out of that 55,615 are landraces, 1,171 are wild races and 32,895 are other varieties. It is the staple food for half of the world’s population. The upland rice accessions are natural reservoir of genetic variability for various biotic and abiotic stresses. Forty eight upland rice germplasm accessions were evaluated and characterized for fourteen quantitative and fifteen qualitative traits. Green revolution is considerably held to improve production of food grains in our country and its role in achieving status of self sufficiency in food grain is beyond any doubt. The principle morphological characteristics of the genus include rudimentary sterile lemmas, bisexual spikelets, and narrow, linear, herbaceous leaves with scabrous margins. 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 and 64. Institute of Agriculture and Animal Science, Multivariate Analysis of Phenotypic Diversity of Rice (Oryza sativa L.) Landraces from Lamjung and Tanahun Districts, Nepal, Evaluation of Physicochemical and Cooking Characteristics of Rice ( Oryza sativa L.) Landraces of Lamjung and Tanahun Districts, Nepal, Variability And Heritability Estimate of 30 Rice Landraces of Lamjung and Tanahun Districts, Nepal, Evaluation of Qualitative and Quantitative Traits and Correlation Coefficient Analysis of Six Upland Rice Varieties, Climate Change and Its Impact on the Yield of Major Food Crops: Evidence from Pakistan, Genetic Divergence in Landraces of Bangladesh Rice (Oryza sativa L.), Genetic variability and correlation of some morphometric traits with grain yield in bold grained rice (Oryza sativa L.) gene pool of Barak valley, Characterization and assessment of variability in upland rice collections, Production Economics of Rice in Different Development Regions of Nepal, ASSESSMENT OF GENETIC VARIABILITY CHARACTER ASSOCIATION AND PATH COEFFICIENT FOR YIELD AND ITS COMPONENT CHARACTERS IN RICE, Potential loss of rice landraces from a Terai community in Nepal: A case study from Kachorwa, Bara, Morphologybased multivariate analysis of phenotypic diversity of landraces of rice (Oryza sativa L.) of Bankura district of West Bengal, Correlation and path coefficient analysis for some yield-related traits in rice (Oryza Sativa L.) under thrace conditions, Undergraduate Practicum Assessment (Maize Breeding). Shobha R N, Shobha Rao L V, Viraktamath B C and Mishra B. High heritability along with moderate genetic advance was observed in the character plant height. This information was supplemented by the information obtained from group discussions, observations and other secondary sources. of genitors for rice plant breeding programs. INTRODUCTION Rice is staple food grain of India and is cultivated on 0 .44 million hector of land, almost throughout the year. This study attempts to assess the loss of farmer-named local rice (Oryza sativa L.) varieties from Bara, a community in the central Terai of Nepal. L-3, 7, 13, 19, 21, 35, 36, 53, 54, 55, 56, 63 and 64. To cope with and mitigate the adverse effects of climate change, there is a need for the development of heat‐ and drought‐resistant high‐yielding varieties to ensure food security in the country. This project will also study the Physio-chemical and cooking characteristics of t. The project aims to identify the superior maize hybrids by estimating the genetic parameters. High heritability, along with a high genetic advance was found in 10 traits, including 1000 grain weight, grain length, and filled grain per panicle indicated the presence of additive gene action. All rights reserved. Although most of them were of medium grain type, their 1000 kernel weight varied between 12.62 g and 25.65 g. From the observed chemical properties, Pahelo Anadi (9:73 ± 0:55mm) showed the highest gel consistency and lowest apparent amylose content (7:23 ± 0:36%). The characters sterility percentage, effective branch tiller per hill and panicle length showed significant positive genotypic correlation with grain yield per hill. Some of the landraces like Rato Masino, Thakali Lahare Marsi, Biramful, and Lekali Marsi from Lamjung and Tanahun districts were found to be promising landraces for yield and yield attributing traits, The aim of this project is to characterize the local landraces of rice from Lamjung and Tanahun districts of Nepal. Int. L-1, 3, 6, 11, 17, 20, 36, 37, 41, 45, 47, 50, 51, 54 and 58. Keywords. 32, 34, 35, 37, 38, 39, 41, 42, 43, 53, 54,55,56,57,58,59,60,61,62, 63 and 64. In this study, we assessed and evaluated milled rice of 30 rice landraces on their physicochemical and cooking characteristics which aim to promote the revival of old landraces. Average value of quantitative characters of each cluster. In addition, the yield components had positive direct effects on grain yield. Based on this study highly distinguish and high yielding traditional rice genotypes (Sanna mundaga, Kasse bai and champakali) would be suitable for registration as farmers variety and such genotypes can also be utilized in crop improvement programme in terms both quality traits and high yield even as source or breeding material for pest and disease resistance. Agro-morphological characterization of rice (Oryza sativa L.) landraces of Lamjung and Tanahun District, Nepal. of grains per plant, spikelet fertility. with Nagina 22 as a check variety. pp 6-13. Correlation is significant at the 0.05 Level (2-tailed), correlated with Grain Length: Breadth ratio (r= -, increase in a particular trait may lead to a, UPGMA clustering method based on average, landraces into four clusters for 8 quantitative. Morphological Characterization of Traditional Rice (Oryza sativa L.) Genotypes of Southern Transitio... Morphological characterization of mutant lines of Nagina22 in rice ( Oryza sativa L.), Morphological Characterization of Rice (Oryza sativa L.) Landraces of the Hilly Zone of Karnataka. The objective of the study was to characterize thirty landraces of rice (Oryza sativa L.) of Lamjung and Tanahun district based on 30 qualitative and 8 quantitative characters, recorded as per descriptor established by IRRI, Bioversity International and WARDA. Promising landraces were identified from different yield attributing characters like total tillers, total grains per panicle, 1000 grain weight, panicle length and filled grain percentage. Indonesian Journal of Agricultural Science. contributing traits of 30 landraces of rice. The characters viz., days to 50% flowering, leaf length, leaf width exhibited high heritability and panicle per plant, canopy temperature, spikelet per plant, no. Assessment of character contribution to the divergence for some rice varieties. For Cluster analysis of qualitative traits the cultivars were grouped into five clusters based on similarity The study further revealed that the varieties selected are adaptable and can thrive well in the study area. Mean values of effective tiller and kernel width were found maximum in clusters V and VI, respectively. L-2, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 21, 23, 24, 26, 27, 28, L-4, 6, 8, 20, 22, 25, 29, 35, 36, 37, 43, 45, 47, 52 and 54, L-1, 9, 15, 18, 21, 22, 25, 26, 29, 34, 37, 50, 52 and. The reduced color feature vectors are used as input to back propagation neural network (BPNN) and support vector machine (SVM). References. 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 4, L-1, 3, 8, 10, 11, 12, 13, 21, 23, 24, 27, 28 and 31. improvement programme for enhancement both qualitative and quantitative traits. L-2, 3, 7, 12, 18, 22, 24, 28, 35, 43 and L-, L-1, 2, 3, 4, 5, 6, 11, 12, 13, 14, 15, 16, 17, 18, 21. While selecting a landrace as a parent in a breeding program, other numerous factors need to be considered. Landraces from Anadi group, Jetho Budo, Jarneli, and Rato Masino performed well in PC1 while landraces such as Mansara, Pakhe Sali, and Aanga performed well in PC2. Hence, selection based on these traits could help to bring simultaneous improvement of yield and its components, significant association with days to 50 per cent flowering and days to maturity under control condition, while test weight, number of tiller per plant, number of productive tiller per plant, number of spikelet per panicle and per cent spikelet fertility both under control and low-moisture stress conditions at phenotypic level as well as genotypic level. Indonesia has a high level of rice germplasm, both black rice and aromatic rice. related mostly to the yield, yield attributing, and grain characteristics. quantitative morphological characters with 82 agro-morphic descriptors was carried out. In the principal component analysis, the first four principal components retained 73.8% of the variance. Pakistan is vulnerable to climate change, and extreme climatic conditions are threatening food security. Shannon and Simpson’s indices were calculated for 18 qualitative traits. In the two years, correlation coefficients showed that number of grains per panicle (r = 0.95, 0.59), panicle weight (r = 0.57, 0.97) had positive and significant correlation with grain yield, while in 2014, grain yield was positive and significantly correlated with number of panicles/plant (r = 0.99) and grain yield was also positive and significantly correlated with 1000-grain weight (r = 0.77) in 2014 respectively. Grain yield was significantly correlated with its component characters like the number of productive tillers per square metre (r = 0.241** and r = 0.274**), biological yield (r = 0.803** and r = 0.312**), harvest index (r = 0.250** and r = 0.677**), and the number of filled grains per panicle (r = 0.495** and r = 0.633**) in both years. Main component analysis of morphological traits in thirty-nine accessions of rice (Oryza sativa L.) grown in a rainfed lowland ecology of Nigeria Adeyemi Anthony Kojibola Department of Crop Production, Faculty of Agricultural Science, University of Benin, Edo, Nigeria. The results of PCA suggested that characters such as leaf length and width ratio, plant Twenty rice landraces collected from different ecological regions of Bangladesh were studied to assess the nature and magnitude of genetic divergence among them. Characterization has confirmed the existence of Distinctness, Uniqueness and Stability This is mainly due to easy availability and judicious use of production inputs. Rice is an important staple food crop that feeds over half of the global population and has become the cereal that provides a major source of calories for the urban and rural poor in Africa. Agro-morphological, Oryza sativa f. spontanea , salient trends, Weedy rice. Rice (Oryza sativa L.) is one of the most important food crops grown worldwide. A wide variation of grain characters, like gain size and shape, anthocyanin colouration of lemma-palea and But high yielding varieties, which are the back bone of green revolution, have indirectly stimulated erosion of land races and wild varieties of rice. L-8, 13, 29, 31, 32, 33, 37, 43, 45, 46, 48, 50, 51, 52, 59, 60, 61, 62, 63. Obviously land races are disappeared fast. In this study we observed that out of the 20 investigated varieties 11 varieties are distinctive according to the five essential and the eighteen additional characters proposed by the DUS guideline. improvement event in terms of both quality traits and high yield even as source or breeding material for pest and disease Phenotypic path coefficient analysis had revealed the highest positive and direct effect of days to maturity (0.5107) followed by harvest index (0.3110) on grain yield. The results show that varietal loss is pervasive and will accelerate if no proper initiative is taken to protect them. Rice is the most important staple food crop grown in Nepal. 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 and 64. The present study revealed that varieties (NERICA 1, 4 and 8) with the highest number of grains per panicle, highest grain weight, more number of panicles per plant and large panicle size, increase rice yield in upland ecology. National guidelines for the conduct of tests for distinctiveness, uniformity and stability. The study suggests the existence of the diversity and estimated genetic parameters among landraces of rice that can be exploited in future breeding programs. The filled-grain per panicle exhibited a high estimate of PCV and GCV, followed by the effective tiller and filled grain percentage. Phenotypic variances for the traits under study were higher than genotypic variances in the seasons suggesting that the traits were more responsive to environmental influence. This analysis enabled assessment of major characters of landraces variety which have a Confirmation of salinity tolerance using molecular markers. February 2020 Annals of Plant Sciences 9(2):3731-3741 Green revolution has considerably helped to improve production of food grains in our country and its role in achieving status of self sufficiency in food grain is beyond any doubt. Keywords. Significant variations (p < 0:05) were found in all the properties that were evaluated. L-1, 2, 3, 4, 5, 6, 7, 8, 17, 36, 37, 47, 45 and 51. All landraces showed significant variations (p <0.001) for all 13 qualitative traits studied. 30 qualitative and 8, quantitative characters were recorded as per, CV%), Pearson’s correlation and cluster analysis, Qualitative characters are the most important, characters to identify a plant variety and are, economic scenario and natural selection (Swargi, leaf sheath color. L-7, 3, 2, 10, 11,15, 17, 20, 21, 29, 34, 36, 40, 43, 48, 44, 10, 26, 28, 35, 42. Inheritance of botanical traits in rice (O. sativa x O.rufipogon F1 and F2 showed 89cm and 83.38cm for plant height, where as … 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 and 64. distinctiveness, uniformity and stability. The methods of feasible generalized least square (FGLS) and heteroscedasticity and autocorrelation (HAC) consistent standard error were employed using time series data for the period 1989 to 2015. The present study indicated that morphological traits were useful for preliminary Study of root related traits of selected rice g, Sixty four traditional rice genotypes collected from the different places of Southern Transitional Zone of Karnataka, were characterized according to DUS test guidelines of PPV&FR ac 2001, at University of Agricultural and Horticultural Sciences, Shivamogga. polymorphic except coleoptiles colour, present of leaf collar, shape of ligule and present of secondary branching in ermplasm lines using PVC pipes under saline and normal soil condition. L-1, 2, 4, 5, 6, 12, 13, 17, 20, 21, 22, 36, 37, 47 and 51. L-1, 2, 3, 4, 5, 6, 8, 7, 9, 10, 11,12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24. A study was carried out with 30 rice landraces at the Institute of Agriculture and Animal Science, Lamjung Analysis of variance revealed that existence of significant variation among accessions for all the quantitative traits. tillers (r=0.437) and effective tillers (r=0.356). Six parameters of physical properties, four parameters of chemical properties, and five parameters of cooking properties were evaluated based on the standard protocols. The identity of a rice variety is established by using a set of morphological characteristics. L-1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18. width (64.06%), medium days to heading (62.50%), Table 2 Morphological characterization of traditional rice, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 and 64, L-1, 3, 6, 22, 25, 33, 34, 35, 41, 43, 46, 49, 50 and 51. The frequency distribution of qualitative characters were studied where panicle shattering, lemma & palea color, culm lodging resistance and Leaf senescence showed high variability. The principle morphological characteristics of the genus include rudimentary sterile lemmas, bisexual spikelets, and narrow, linear, herbaceous leaves with scabrous margins. J. Agri. distinctiveness, uniformity and stability. L-1, 2, 3, 6, 9, 10, 15, 17, 21, 22, 26, 27, 30, 35, 36, 40, 54 and 62. The areas to the east and northeast are low lying alluvial plains, similar to predominating rice lands of Bengal. 197) > 1000-grain weight (0.165 and 0.136). Germplasm consist of these characters are better choice for ex Watt and Oryza sativa L. f. spontanea Roshev.) The project also aims to make use of different diversity indices to study the variation among the landraces and estimate the different genetic parameters to suggest how this landraces can be used under selection breeding in rice varietal development program. Superior characters possessed by rice landraces can be further assessed for the breeding programs so that the cultivation of these cherished rice landraces can be enhanced. These cultivars were refined through selection depend on Keeping the severity of situation an attempt is being made to collect, document and conserve indigenous varieties of rice which are fast. With average landholding of 1.6 ha/household, 64.6% of the respondents were growing rice under 1 ha of land on an average. L-5, 17, 42, 54, 55, 56, 61, 62, 63 and 64. Rainfall effect towards the yield of a selected crop is negative, except for wheat. Pearson correlation coefficient, The un-weighted variable pair group method of the average linkage cluster analysis (UPGMA), principal component analysis (PCA), were used to analyze the data obtained. The present work is so much important in respect to the present scenario of agro-biodiversity of this region as well as identification, conservation and documentation of landraces variety for future crop improvement. Importance of land races is larger than life in agriculture system, because improvement in existing variety depends upon desirable genes which are possibly present in land races and wild varieties only. The principal component analysis revealed that five among the thirteen principal components were significant (eigenvalue >1) and contributed to 29.96%, 20.26%, 13.56%, 11.68%, and 9.22% of the total variance, respectively. Maximum inter cluster D distance was observed between cluster, Sixty four landraces were evaluated for 10 yield and its component traits. among the 13 characters. Department of Plant Breeding and Genetics, University of Agriculture and Horticultural Science, *University of Agricultural Sciences, Dharwad, the rice growing farmers across the Southern transitional, like Rajaboga, Rajamudi and Ratnachudi have fine, Sixty four traditional rice genotypes were considered, Table 1 List of traditional rice genotypes, anthocynin color whereas, 78.12% of genotypes had leaf, The density of pubescence on leaf w. weak 9.37% and strong in 46.87% of genotypes. L-4, 20, 28, 40, 43, 34, 32, 47, 50, 51, 53, 55, 59, 61 and 63. for improvement of agronomic, nutritional, Table 3 Mean values of yield and its component characters, would be suitable for registration as farmers variet. 47, 48, 49 50, 51, 52, 53, 54, 55, 59, 60, 61, 62, 63 and 64. timate leaf length showed positively significant, also showed positively significant corr, panicle (TGP), Panicle length (cm) (PL), Grain Length Breadth ratio (LBR), Flag leaf length (cm) (FLL), **. Campus, during June–November 2018 to determine relation among individuals, estimate the relative contribution of various traits of rice, After the Green Revolution, the increase in the choice of modern varieties at the expense of landraces has become a major cause of varietal loss. 1000 grains weight exhibited strong positive direct effect on seed yield, however, it contributed negatively seed yield through number of grains per panicle. 2011; MOAD 2016/17). 30 rice landraces on their physicochemical and cooking characteristics which aim to promote the revival of old landraces. Also, 13% of landraces possessed strong aroma while noble cooking properties were showed by Thakali Lahare Marsi with the highest elongation ratio (2:41 ± 0:05) and by Chiniya with the lowest gruel solid loss (0:033 ± 0:03%) and minimum optimum cooking time (23:45 ± 0:03 min). It is nec- essary to develop site-specific strategies to conserve local rice diversity and en- hance its use to improve the livelihoods of rural farming communities. 49, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 and 64. Professors Amit Khanal, Mahesh Jaishi, Kapil, us with valuable landraces as research materia, urce/statistical-information-nepalese-agricul-, Characterization and assessment of variabil, ... e intracluster distance is due to the heterogeneous nature of the landrace within a cluster. L-41, 42, 43, 44, 45, 47, 48, 49, 50 and 51. Sterility percentage, effective branch tiller per hill and panicle length had high coheritability with grain yield suggesting that selection for these characters would improve grain yield. Weed Research 52, 60–69. related mostly to the yield, yield attributing, and grain characteristics. Numbers of spikelets per panicle were ranged from very low (L-54, L-51 & L-52) to very high (L-56, L-53, L-42 & L-38). Keywords: Morphological variation of rice, multivariate analysis, new improved varieties, traditional varieties INTRODUCTION Rice (Oryza sativa L.) is considered as one of the most important cereal crops and the staple food for more than half of the world’s population (Jiang et al., 2013). In 2008, seeds of 149 weedy rice populations were collected from the major Italian rice cultivation area. This indicates a strong inherent association among grain yield per plant and other morpho-physiological characters. The first and second principal components were mostly related with the physical and chemical characteristics while the third and fourth principal components were concerned with cooking characters. These problems need to be addressed to improve the production situation and efficiency of rice production in the country. Characterization has confirmed the existence of Distinctness, uniqueness and stability for the traits studied as given in the guidelines. Path coefficient analysis revealed highest direct effect on grain yield for number of grains per panicles and 1000 grains weight. Clustering analysis led to the grouping of lines in to 2 major groups. The ovary-derived plant (H1) populations were completely haploid, doubled haploid or haploid-doubled haploid mixture. analyzed quantitative data. West Bengal is great reservoir of rice. The situation is fast eroding indigenous cultivars of rice. Farmers’ plots were monitored during 3 years and changes in varietal choice were re- corded. In this study, we assessed and evaluated milled rice of, Rice (Oryza sativa L.) is the primary food source for more than a third of the world’s population. Direct selection of characters of these traits based on phenotypic expression by a simple selection method would be more reliable for yield improvement. The first three principal components explained about 86.9% of the total variation among the 12 characters. 49, 50, 51, 52, 57, 58, 59, 60, 61 and 62. National guidelines for the conduct of tests for Future of productivity of rice solely depends upon conservation of these land races. e low intracluster distance indicated that the landraces in the clusters were closely related. Codes of cultivars are showed in Table 1. India is centre of origin of this important food grain and all together the country proudly possesses 88,681 different variety of rice, out of that 55,265 are land races, 1,171 are wild races and 32,245 are other varieties. Objectives: L-1, 2, 3, 6, 7, 8, 14, 20, 23, 26, 33, 36, 40, 44, 45, 46, 47, 48, 50, 51, 52, 58. Morphological characters viz., size and shape of conidia were studied for identification of the fungus. Based on twelve characters, the genotypes were grouped into five clusters. These characters were predominantly governed by additive gene action. enticing characters such as, Rice landraces of hilly zone of Karnataka were characterized for distinctness and uniformity according to DUS test guidelines of PPV & FR authority. Characterization has confirmed the existence of Distinctness, uniqueness and stability for the traits studied as given in the guidelines. Characterization for 20 qualitative and 13 O. sativa, as they often lack clear distinguishing morphological characteristics (Vaughan & Morishima 2003). the order of yield components was the number of filled grain per panicle (0.297 and 0.285 > the number of productive tillers per square metre (0.233 and 0. Screening of 200 rice germplams under saline farmers field. A study was carried out with 30 rice landraces at the Institute of Agriculture and Animal Science, Lamjung The genotypic correlation coefficient was found to be higher than the corresponding phenotypic correlation coefficient. Genotypes such as Sanna mundaga, Sixty-two agro-morphological characteristics are conventionally used in the DUS test for varietal identification from paddy field crops, DUS characterization for farmer varieties of IOSR. 20, issue 1 - 2 (2018) 9 to the taxon No. The basic nomenclature of Oryza species has changed little since the 1960s (for review see [4 ••]). The experiment was laid out in a randomized complete block design with three replications and sixteen agro-morphological characters measured on each of the experimental plots. Slight differences were observed between the Phenotypic Coefficient of Variation (PCV) and Genotypic Coefficient of Variation (GCV). 52, 53, 55, 56, 57, 59, 60, 61, 62, 63 and 64. All figure content in this area was uploaded by Shishir Sharma, All content in this area was uploaded by Shishir Sharma on Feb 28, 2020. science, Tribhuvan University, Lamjung Campus, information for plant breeding programs. Morphological Characterization of Traditional Rice (Oryza sativa L.) Genotypes of Southern Transitional Zone, Karnataka, According to DUS Test Guidelines March 2016 Journal of Agriculture and Veterinary Sciences 4: 35-40. Pollen morphological studies of 19 species of Oryza (Poaceae) were carried out using LM and SEM. Although most of them were of medium grain type, their 1000 kernel weight varied between 12.62 g and 25.65 g. From the observed chemical properties, Pahelo Anadi (9:73 ± 0:55mm) showed the highest gel consistency and lowest apparent amylose content (7:23 ± 0:36%). At various times, more than 100 names have been proposed for the Oryza species, including 19 for O. sativa alone (Oka 1988; Lu 2004). 36, 39, 40, 42, 43, 47, 48, 50, 55, 57, 59, 60, 61, 62 and 64. Agro-morphological, Oryza sativa Presently more than 90% of rice cultivation is being done using high yielding varieties only. Morphological Characterization of Traditional Rice Genotype. More than 90% of cultivation is done using high yielding varieties only. L-1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 &. Agro-morphological, Oryza sativa f. spontanea , salient trends, Weedy rice. Mohiuddin 1*, Shahanaz Sultana 2 and Jannatul Ferdous 2 1Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science … Rice landraces, An investigation on divergence, variability and associations among yield related traits were studied using sixty four traditional rice cultivars. There are 5,556 rice varieties were recorded in the year 1975 from this state. Phenotypic divergence for agro-morphological traits among landrace genotypes of rice (Oryza sativa L.) from Pakistan. The improvement in grain yield will be efficient, if the selection is based on the biological yield, the harvest index, the number of productive tillers per square metre and the number of filled grains per panicle under temperate conditions. Lastly, high heritability with low genetic advance was recorded for the character days to 50% flowering. The higher value of the phenotypic coefficient of variation (PCV) compared to the corresponding genotypic coefficient of variation (GCV) for all the studied traits indicated the influence of the environment. Germplasm having these characters in the genetically distant cluster could, therefore, offer a significant scope for the development of high yielder through judicious selection. An experiment was carried out in alpha-lattice with two replications in the Agronomy Farm of IAAS, Lamjung Campus, Nepal during June–November, 2018. 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47. 45, 47, 49, 8, 41, 19, 50, 51, 52, 53,57,61, 62, 63 and 64. Rice is the staple food grain of West Bengal and Bankura district of this state is major producer of this grain. However, the, landraces are disappearing at fast rate (Sinha, provide basic information to facilitate the choice. PCA showed the contribution of each characters to the classification of the rice landraces into different cluster groups. All landraces showed significant variations (p <0.001) for all 13 qualitative traits studied. Bankura district of West Bengal has been described as the " connecting link between the plains of Bengal on the east and Chota Nagpur plateau on the west. " 1971. The variability existing in the rice landraces is the source of variation and offers a substantial opportunity for the development of new varieties. 44, 45, 48 , 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 and 64. 2003. Cluster analysis showed maximum and minimum intracluster distance in cluster VI (D2 = 35.77) and cluster I (D2 = 18.59), respectively. 36, 40, 43, 44, 45, 46, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63 and 64. Sixty four traditional rice genotypes collected from the different places of Southern Transitional Zone of Karnataka, were characterized according to DUS test guidelines of PPV&FR ac 2001, at University of Agricultural and Horticultural Sciences, Shivamogga. Grain characters viz., hulled and non-hulled, grain length and width exhibited distinctness among the genotypes. 2. L-40, 43, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 and 60. The present experiment was conducted on 47 bold grained rice genotypes with two locally recommended high yielding check varieties namely Ranjit and Monohar Sali of Barak Valley, Assam to assess the genetic variability, correlation and coheritability for eight morphophysiological characters. The present investigation was carried out to evaluate twenty four breeding line of rice with respect to performance, variability, heritability, character association and genetic, Fifty five traditional rice varieties of West Bengal, mostly from the lateritic region, were investigated for grain morphological characters. height, grain width, decorticated grain width, 50% flowering and maturity time were the principal discriminatory It is one of the very few crop species endowed with rich genetic diversity which account over 100,000 landraces and improved cultivars. 1. The results of the study reveal that maximum temperature adversely affects wheat production, while the effect of minimum temperature is positive and significant for all crops. The phenotypic correlations among the traits and their path coefficient were estimated in both years. The characters were days to 50% flowering, plant height, flag leaf length, flag leaf breadth, effective branch tillers per hill, panicle length, sterility percentage and grain yield per hill. A simplified assay for milled rice amylase. According to the results from the first year, 49 breeding lines were selected, and they and their 10 parents were tested in a randomised complete block experiment design with three replications in the same institute in 1996. This study examines the effects of climate change (e.g., maximum temperature, minimum temperature, rainfall, relative humidity, and the sunshine) on the major crops of Pakistan (e.g., wheat, rice, maize, and sugarcane). resistance. Agro-morphological characterization of crop is the basic criteria to provide fundamental information for plant breeding programs. Variation for 9 morphological characters and constitution of axis 1 of its principal component analysis. Six parameters of physical properties, four parameters of chemical properties, and five parameters of cooking properties were evaluated based on the standard protocols. L-1, 3, 4, 5, 6, 7, 8, 11, 13, 17, 18, 20, 21, 26, 34, 35, 36, 37, 43, 46, 47, 48, 50, 51, 52, 53, 54, 61, 62, 63, 64 and L-, L-1, 4, 8, 18, 19, 20, 21, 24, 25, 32, 54, 55, 56 and 64. 26, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 41, 42, 44, 45, 46, 47 and 48. But in present situation rice cultivation is restricted to 5-10 high yielding variety and few landraces varieties. Multivariate analysis involves observation and analysis of more than one statistical variable at a time. Very small difference between GCV and PCV was observed for the characters like days to 50% flowering and flag leaf breadth. Biswajit Mondal. Thus, the present study can be utilized for further rice improvement programs and can also be used for assessing genetic diversity among morphologically distinguishable rice landraces. The value of the Shannon and Simpson index ranged 0.15–1.41 and 0.07–0.75, respectively. 25,26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39 and 57. L-6, 12, 16, 17, 19, 21, 25, 26, 30, 39, 42, 43, 46, 50 and 58. Of which cluster I (44) had more number of cultivars fallowed by cluster III (8) and remaining were solitary. The associations among yield components, and their direct and indirect influence on the grain yield of rice were investigated. Rice is the major food grain of India and is being cultivated on 36.95 million ha. The first and second principal components were mostly related with the physical and chemical characteristics while the third and fourth principal components were concerned with cooking characters. According to the magnitude of the direct effects on grain yield. The set of six combined agro-morphological characteristics recorded during maturity growth stage has given the highest average paddy plant variety recognition accuracies of 91.20% and 86.33% using the BPNN and SVM classifiers respectively. 31, 32, 33, 34, 35, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53. L-1, 2, 3, 7, 8, 9, 10, 14, 15, 20, 22, 23, 28, 31, 32, 33, 34, 35. No parallel relationship between genetic and geographical divergence was observed. indica Kato) were collected from different ecological niches. Recently Vaughan (2003) has proposed a new nomenclature for cultivated and wild rice in Asia: O. sativa Frequency distribution of thirty qualitative traits of collected thirty rice landraces from Tanahun and Lamjung District. Keywords: Rice, agro-morphological traits, hierarchical clustering, path coefficient. L-36, 42, 50, 51, 52, 53, 54, 55, 56, 61, 62, 63 and 64. For this purpose, 80 breeding lines derived from 11 different cross populations in the F6 generation and their 10 parents were tested in a randomised complete block experiment design with two replications at the Thrace Agricultural Research Institute in 1995. Dis- tribution of local rice varietal diversity, documented through a baseline survey and Participatory Rural Appraisalcon- ducted in 1998, was critically reviewed and analyzed to assess genetic erosion of local rice diversity. Asian geographic areas as considered in Table 2. An experiment was carried out in alpha-lattice with two replications in the Agronomy Farm of IAAS, Lamjung Campus, Nepal during June–November, 2018. Field experiments were conducted in 2014 and 2015 seasons at the Teaching and Research Farm, Federal University Oye, (Ikole campus) Ekiti State, Nigeria, to determine genetic variability for phenotypic traits (qualitative and quantitative) among six upland rice varieties through estimating heritability of yield and yield components, genetic advance, correlation coefficients of grain yield and yield contributing traits. derived by UPGMA from 8 qualitative traits. Most traits were The experiment was carried out at the Instructional farm, BCKV, Nadia, West Bengal during kharif 2013 with RBD for yield attributing traits of different rice genotypes. L-12, 19, 27, 58, 59, 60, 61, 62, 63 and 64. A set of 542 Nagina 22 mutants were morphologically characterized under DUS test guidelines and compared L-1, 2, 3, 18, 34, 42, 50, 51, 52 and 53. 38, 43, 48, 4, 10, 25, 20, 28, 33, 37, 39, 45 49,50, 51, 52, 53, 58, 59, 60, 61. Large numbers of rice landraces are grown by only a few farmers in small plots. The morphological characterization of plant is the basic criteria in order to provide fundamental information for plant breeding programme. Pearson correlation matrix, Principal Component Analysis (Pearson –n type), the unweighted Mean values of effective tiller and kernel width were found maximum in clusters V and VI, respectively. Among the quantitative characters studied, time of heading varied from early Grain characters showed polymorphism with respect to, hulled and non hulled grain length, width and color. Kaase bai and Champakali which are genetically variable and high yielders over local check varieties could be utilized in crop © 2008-2020 ResearchGate GmbH. This analysis helps to enabled pattern of variation of the germplasm of landraces of rice and identification of the major traits contributing to the diversity of landraces. The benefit-cost ratio of rice production was the highest in Central Development Region indicating the most efficient production practice in the country. O. sativa has persistent spikelets, O. rufipogon has deciduous spikelets and O. longistaminata is perennial with creeping and branched rhizomes (Bor, 1960; Takeoka, 1963). Collection of 200 Rice germplasms from Mudigere and CRRI, Cuttack The paper presents an image-based paddy plant variety recognition system to recognize 15 different paddy plant varieties using 18 color-related agromorphological characteristics. Wide variation among the grain morphological. L-2, 3, 37, 40, 42, 56, 57, 58, 59 and 63. 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63 and 64, Morphological Characterization of Traditional Rice Gen. L-1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26. hybridization program. Campus, during June–November 2018 to determine relation among individuals, estimate the relative contribution of various traits of rice using principal component analysis, and identify the potential parents for hybridization using Mahalanobis distance (D2). 27, 28, 29, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 47, 48, 49, 60 and 62. The maximum value, minimum value, coefficient of variation and Pearson correlation were analyzed to study quantitative characters. See all articles by this author. Morphological characterization of traditional rice genotypes according to DUS test guidelines, All figure content in this area was uploaded by B. M. DUSHYANTHA Kumar, All content in this area was uploaded by B. M. DUSHYANTHA Kumar on Aug 16, 2016, Research Journal of Agricultural Sciences, Morphological Characterization of Traditional R, T C Sridhar, B M Dushyantha Kumar, B R Mani* and G K Nishanth. 37, 38, 40, 41, 42, 44, 45, 47, 48, 51, 52, 53, 54, 56, 57, 58, 60, 61, 63, 64. The quantum of production has increased from 0.3 million ton in 1966 to nearly 1.1million ton at present. The genotypes under cluster IV showed highest divergence among them as it exhibited highest intra-cluster distance. Analysis of variance showed significant difference among the genotypes to all the characters under both control and low-moisture stress condition. tonnes all over the world. characters indicated wide genetic variation present among these varieties, which may be utilized for the selection of the parents for the plant breeding and production of new improved variety. Diversity analysis of indica rice accessions (Oryza sativa L.) using morphological and SSR markers Israt Nadia 1, A.K.M. Julino B O. Directorate of Rice Research. for the traits studied as given in the guidelines. L-5, 29, 48, 52, 53, 54, 55, 56, 57 and 64. awned characters were apomorphic in WR eco-type populations in Sri Lanka. High level of inter-cluster distance was found between cluster II and V and between cluster I and III. Cluster III showed the highest mean value for grain width, flag leaf breadth, yield, and minimum mean value for plant height while mean values of total grain per panicle, filled grain percentage, and thousand-grain weight were maximum in cluster IV. Data were recorded on days to 50% flowering, plant height, tillers per plant, panicle per plant, panicle length, leaf length, leaf width, leaf area index, canopy temperature, biological yield, spikelet per plant, no. land and present productivity is about 120.6 million tons per year. Therefore, these characters could be used as criteria for selection of genotypes with high seed yield. L-2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26.
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