High Genotypic Coefficient Of Variation Research Articles

Studies on Genetic Variability, Correlation and Path Coefficient Analysis for Yield and Yield Contributing Traits in Bread Wheat (Triticum aestivum L.)

A study was undertaken to analyse the genetic variability, correlation and estimates path coefficient analysis of yield and yield contributing traits in twenty-eight wheat genotypes grown at BAU Agricultural Farm, ranchi during Rabi season of 2019-2020 in three different dates of sowing with an interval of 15 days which is considered as three environments E1, E2, E3. In this investigation the pooled analysis of variance revealed that the treatments were highly significant for all the characters. Wide genetic variation was observed among genotypes for plant height, number of grains per spike, 1000 kernel weight, days to maturity and flag leaf area. Considering genetic parameters, high genotypic co-efficient of variation (GCV), was observed for 1000 kernel weight (11.95), no of grains per spike (12.73), flag leaf area (13.74), spike length (15.83), grain yield per plant (17.64), no of effective tillers (18.38) Whereas, low GCV was observed for plant height (3.49), days to 50% flowering (1.46), days to maturity (2.54) and harvest index (6.90). In most of the cases, phenotypic variances were higher than the genotypic variances. Environmental variance is much higher in harvest index (35.64), days to 50% flowering (33.47). low environmental variance was observed in plant height (16.75), flag leaf area (10.29), days to maturity (13.93), no of grains per spike (14.07), spike length (0.49) and biological yield (35.64). High heritability with low genetic advance in per cent of mean was observed for plant height, days to maturity, days to 50% flowering & harvest index which indicated the involvement of non-additive gene action for the expression of this character and selection for such trait might not be rewarding. High heritability with high genetic advance in per cent of mean was observed for grain yield per plant (27.73), no of grains per spike (20.93), 1000 kernel weight (23.58) and no of effective tillers (27.91) indicating that these traits were under additive gene control and selection for genetic improvement for these traits would be effective. Biological yield had high positive and significant correlation with plant height, number of effective tillers and number of grains per spike. Path coefficient analysis revealed maximum direct contribution towards yield per plot with sheath length followed by grains per spike.

Genetic Variability Analysis for Yield and Its Attributing Traits in Rice (Oryza Sativa L.) under Phosphorus-sufficient and Deficient Field Conditions

Aim: The present study aims to identify phosphorus deficiency tolerant rice genotypes under both phosphorus-sufficient and deficient conditions. Materials and Methods: Two kinds of fields (high and low phosphorus content) were selected based on their soil phosphorus availability. Hundred diverse rice germplasm was collected and planted in an augmented design along with four local checks namely, Swarna sub-1, MTU 1153, MTU 7029 and Uttar Sona. The data was recorded for 14 traits and subjected to different types of variability analysis. Place and Season of Study: The experiment took place at instructional Farm of Uttar Banga Krishi Vishwavidyalaya, Cooch Behar, West Bengal, India during the Kharif season of 2021. Results: The variability analysis revealed that phosphorus uptake showed a high genotypic coefficient of variation (GCV) under phosphorus-deficient condition and high phenotypic coefficient of variation (PCV) under both conditions. Grain yield showed high GCV and PCV under both the phosphorus conditions. Heritability was moderate whereas high Genetic advance as percentage of mean was observed under both the conditions for both phosphorus uptake and grain yield. Strong positive correlations were observed between days to flowering and various yield-related traits under both the conditions. Positive correlation was observed between phosphorus uptake and grain yield under phosphorus-sufficient condition, but a weaker correlation under phosphorus-deficient condition.

Assessment of the salt tolerance of diverse bread wheat (Triticum aestivum L.) genotypes during the early growth stage under hydroponic culture conditions

ObjectivesSoil salinity affects the growth of crop plants, leading to reduced productivity, and is a major challenge for wheat production worldwide. Various adaptations and mitigation approaches in combination with tolerant wheat genotypes can be useful for the sustainability of crop production in saline environments. However, the development of salt-tolerant wheat genotypes is one of the best and most efficient solutions for obtaining desirable yields. Considering these issues, an investigation was carried out under hydroponic nutrient culture conditions to assess the genetic variability and selection of salt-tolerant wheat genotypes by categorizing inequitable morphophysiological and genetic variability as well as multivariate analysis. MethodsTo meet the objectives of this study, 100 wheat genotypes were tested hydroponically in 0 (control) and 15 dS m−1 salt solutions. ConclusionFor all the wheat genotypes grown under saline conditions, the shoot length (SL), root length (RL), shoot fresh weight (SFW), root fresh weight (RFW), total fresh weight (TFW), shoot dry weight (SDW), root dry weight (RDW), and total dry weight (TDW) decreased significantly. Furthermore, significant variation was observed among the genotypes in terms of their characteristics only under saline conditions. In the case of genetic diversity analysis, a high genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), genetic advance in the percentage of the mean (GAM) and high heritability (h2b) were recorded for all tested wheat genotypes based on the SDW, RDW and TDW. Correlation analysis for both genotypic and phenotypic relationships revealed strong positive correlations for TDW, SDW, TFW and SFW. Principal component analysis (PCA) revealed that TDW, TFW, SDW, and SFW were the most discriminative variables for the wheat genotypes, which was confirmed by discriminant function analysis (DFA). PCA-biplot analysis also revealed significant positive correlations between SDW and SFW and between TDW and TFW. Hierarchical cluster analysis was performed for ten clusters based on the relative performance of the genotypes, where the genotypes were characterized into salt-tolerant, medium-salt-tolerant, medium-salt-susceptible and salt-susceptible groups. Among the genotypes, G11, G25 and G29 under cluster VII were categorized as salt tolerant based on their outstanding performance in terms of characteristics only under saline conditions. D2 analysis proved that the wheat genotypes of this cluster were highly divergent from the other cluster genotypes; as a result, these genotypes might be utilized as parents in the development of salt-tolerant wheat genotypes. The current study concluded that SDW and TDW could be employed as criteria for selecting and defining salt-tolerant genotypes during the early growth stage of wheat.

Genetic variability and character association among maize (Zea mays L.) Inbred lines

Genetic analysis of variability, heritability and character association was studied among 25 maize inbred lines for eleven traits. The ANOVA indicated significant variation existed among the inbred lines chosen for the study for all the traits. Wide range of variability was observed for all the traits among them grain yield varied from 16.03 to 62.52 q/ha with an average mean value of 45.75 q/ha. Phenotypic variance was higher compared to genotypic variance and highest phenotypic variance was observed for plant height followed by grain yield. However, the difference between phenotypic and genotypic variance was very narrow for majority of the traits. Similarly, phenotypic coefficient of variation (PCV) was marginally higher than genotypic coefficient of variation (GCV) and highest GCV and PCV was recorded for grain yield (37.03, 38.12) followed by ear height (24.12, 26.48) indicating that these characters are under genetic control have high potential for selection. The high amount of broad-sense heritability coupled with high genetic advance as a percent mean (GAM) was observed for grain yield (0.94 and 74.12) followed by number of kernels per row (0.90 and 32.88) indicating phenotypic based selection for these traits would be successful. Hundred grain weight had the highest genotypic correlation (0.834) with grain yield followed by number of kernels per row (0.623). Bangladesh J. Bot. 53(1): 57-65, 2024 (March)

Exploitation of the Genetic Variability of Diverse Metric Traits of Durum Wheat (Triticum turgidum L. ssp. durum Desf.) Cultivars for Local Adaptation to Semi-Arid Regions of Algeria.

Abiotic stresses pose significant challenges to wheat farming, yet exploiting the genetic variability within germplasm collections offers an opportunity to effectively address these challenges. In this study, we investigated the genetic diversity of key agronomic traits among twenty durum wheat cultivars, with the intention to pinpoint those better suited to semi-arid conditions. Field trials were conducted at the ITGC-FDPS Institute, Setif, Algeria, during the winter season of 2021/22. A completely randomized design was used with three replicates. Statistical analyses revealed significant variation among the genotypes for most of the studied traits, with some cultivars exhibiting a superior performance in a stressful environment. Notably, traits like the number of grains per spike (NGS) and the grain yield (GY) displayed high genotypic coefficients of variation (CVg). Except for membrane thermostability (MT) and biological yield (BY), the majority of the assessed traits exhibited moderate-to-high heritability estimates. Genotypic and phenotypic correlation studies have confirmed the importance of many yield-related traits in the expression of GY. The harvest index (HI) underscored the highest genotypic direct effect on GY, followed closely by spike number (SN), serving as consistent pathways through which most of the measured traits indirectly influenced GY. The cluster analysis categorized the durum wheat cultivars into seven distinct clusters. The largest inter-cluster distance was observed between clusters G3 and G4 (D2 = 6145.86), reflecting maximum dissimilarity between the individuals of these clusters. Hybridizing divergent clusters may benefit future breeding programs aiming to develop potential durum wheat varieties through cross combinations. This study's findings contribute to sustainable agriculture efforts by facilitating the selection of genotypes with enhanced resilience and productivity, particularly for cultivation in challenging semi-arid regions.

Genetic Variability Studies in Sweet Sorghum (Sorghum bicolor l.) Genotypes for Sugar and Biomass Related Traits

Sorghum bicolor (L. Moench) is an important crop in the semi-arid tropics of Africa and Southern Asia. Sweet sorghum is characterized by more rapid growth, higher biomass production, wider adaptation and greater potential for ethanol production. The present study was conducted to evaluate 33 sweet sorghum genotypes including two check varieties for different yield and sugar related traits. Analysis of variance revealed the presence of significant difference for all characters under the study. The genetic variability study revealed the presence of greater phenotypic co-efficient of variation (PCV) than genotypic co-efficient of variation (GCV) for most of the characters indicating the presence of the environmental effect. Stem girth, nodes per plant, biomass weight, cane weight, juice content and total soluble solids, total sugars were recorded high PCV and GCV. Plant height and cane height recorded moderate PCV and GCV. Except for plant height at 30 days after sowing (DAS) all other characters plant height at 60 DAS, plant height at 90 DAS, cane height, nodes per plant, stem girth, biomass weight, cane weight, total biomass yield, juice yield, total soluble solids, total sugars, total reducing sugars and total non-reducing sugars showed high heritability estimates coupled with high genetic advance as percent of mean suggesting that, these characters are under the control of additive genes and phenotypic selection will be effective for these traits.

Study of Genetic Diversity and Genetic Advance in Brinjal for Morpho-Economic Traits (Solanum melongena L.)

In two distinct environments (E1 and E2), the current experiment was set up using a randomized block design with the goal of determining the extent of genetic diversity, heritability, and genetic advancement among 15 yield-related variables in brinjal. The analysis of variance results revealed that there were significant genetic variances across brinjal genotypes, indicating a significant degree of variability and boosting the opportunity for selection to improve the essential traits. There was a noticeable variance in mean values between the genotypes for several traits, from modest to wide. For most of the features under investigation, with the exception of days to 50% flowering, moderate to high genotypic coefficient of variation, moderate to high heritability, and genetic advancement as a percentage of mean were reported.

Assessment of Genetic Variability, Heritability and Genetic Advance for Seed Yield and Its Contributing Traits in Greengram [Vigna radiata (L.) Wilczek

Vigna radiata L. Wilczek, sometimes known as greengram or mungbean, is a popular pulse crop in India. Most of its cultivation takes place in India's subsistence farming systems. It is cultivated in three distinct seasons in India, despite the extremely low average productivity. Due to the crop's extensive growth in a variety of environmental circumstances, the local germplasm exhibits a high degree of genetic variation. In order to determine the genetic variability, heritability, and genetic advancement of 40 green gram genotypes, a study utilizing twelve quantitative variables was conducted. For every traits, significant variance was discovered using basic descriptive statistics. High Phenotypic Coefficients of Variation (PCV) and high Genotypic Coefficients of Variation (GCV) were identified for seed yield per plant, number of branches per plant, number of clusters per plant, biological yield per plant, number of pods per plant and 100 seed weight. Moderate PCV and GCV values observed for number of seeds per pod, plant height, harvest index, pod length and days to 50% flowering, whereas low PCV and GCV values were observed for days to maturity. Most of the characters studied in the current study had high estimates of heritability coupled with high to moderate genetic advance as a percentage of mean. This may be attributed to the preponderance of additive gene action and their high selective value, meaning that selection pressure can be applied profitably to these characters to improve them rationally.

Genetic Variability and Association among Yield and Yield Related Traits of Sesame (Sesamum indicum L.) Genotype

A field experiment was carried out with 42 genotypes of sesame (Sesamum indicum L.) at the Niger Research Station, Navsari Agricultural University, Vanarasi, Ta. Vansda. The study was performed to evaluate the genetic variability, characters association, path analysis and genetic diversity based on yield and yield related traits. The highest genotypic coefficient of variation was observed for seed yield per plant followed by capsules per cluster and harvest index. High estimates of heritability coupled with high genetic advance expressed as percentage of mean were observed for the traits viz., capsule width, capsules per cluster, leaf area, harvest index and seed yield per plant indicating that these characters are under the control of additive gene effect. The seed yield per plant was found to be significant and positively correlated with days to maturity, capsule length, capsule width, capsules per cluster, 1000 seed weight and harvest index at genotypic and phenotypic levels. The maximum direct effects as well as appreciable indirect influences were exerted by harvest index, capsule width, capsule length and 1000 seed weight. D2 analysis indicated wider genetic diversity among the forty-two genotypes which were grouped in ten clusters indicating there is no formed relationship between geographical diversity and genetic diversity. Cluster III and X showed the maximum inter cluster distance of 16.51. Hence, the genotypes belonging to the X, IX and VIII cluster could be used in hybridization program for obtaining a wide spectrum of variability among the segregants. Among different eleven traits studied, leaf area followed by capsules per cluster, harvest index, capsule width, seed yield per plant and capsule length contributed maximum towards the total genetic divergence. Results of mean cluster analysis showed that cluster X recorded highest cluster mean for four important yield attributing characters and cluster IX for two important characters. Genotypes from these cluster may produce progenies with high genetic variation.

Studies on the genotypic co-efficient of variation and phenotypic co-efficient of variation in chickpea (Cicer arientinum L.) germplasm for yield-attributing characters

The magnitude of the genotypic co-efficient of variation (GCV) and phenotypic co-efficientof variation (PCV) in chickpea germplasm was observed high for characters like seed yield per plant followed by number of pods per plant, 100 seed weight, plant height, number of secondary branches per plant and number of primary branches per plant. The characteristics viz., seed yield per plant showed high GCV and PCV, moderate heritability and high genetic advance as a per cent of the mean. The characters viz. number of pods per plant, 100 seed weight, harvest index, number of secondary branches per plant and plant height recorded a highly positive significant correlation with seed yield at both genotypic and phenotypic levels. This indicates the simultaneous improvement of these characters through the selection of chickpeas.

Genotype X Traits Analysis of Gerbera (Gerbera jamensoii) Varieties for Vegetative Traits by Biplots

Recent ten genotypes of gerbera were evaluated for vegetative traits during the year 2022-23 to determine genetic variability, heritability and genetic advance for 15 quantitative traits. Analysis of variance showed significant differences among genotypes for all the characters studied. Results revealed that magnitude of the Phenotypic Coefficient of Variation (PCV) was higher than Genotypic Coefficient of Variation (GCV) for all the traits, indicating greater genotype and environment interaction. High PCV and GCV were observed for number of leaves/plant and leaf width. In the present study bud initiation, plant spread after 100 days of panting, plant height after 45 days of planning showed the high heritability along with maximum genetic gain. Number of leaves (45 days) had maintained only positive correlation with the considered vegetative traits. Leaf length (45 days) exhibited showed direct relationship with plant height (45 days) and leaf length(100 days) while negative relation of plant spread (45 days) with leaf length (100 days) and days to bud initiation. Path coefficient analysis showed, plant spread (0.976) had highest positive effect on fresh weight of flowers followed by leaf length (0.824), number of leaves per plant (0.20) while negative effect of plant height (45 and 100 days), days to bud initiation, leaf length (100 days). Performance of Intense, Stanza, Brillance would be unstable type as compared to Golian and Dana Ellen as placed near to the origin of biplot analysis in the present study based on vegetative traits in biplot analysis. Next cluster in same quadrant was comprised of leaf length, leaf width, plant height at 45 days of planting. First cluster of other quadrant comprised of leaf length, leaf width, plant spread at 100 days of planting and last cluster of days to bud initiation with fresh weight of flowers formed across the quadrants.

Genetic Variability, Heritability and Genetic Advance in F2 Segregating Population of Cross RNR-15048 x Dokra-Dokri in Rice (Oryza sativa L.)

The present experiment was conducted to study the variability, heritability and genetic advance in F2 segregating population derived from the cross, RNR-15048 x Dokra-Dokri, evaluated in augmented design with two checks at ICAR-IIRR, Hyderabad during the Kharif-2022. Analysis of variance revealed the presence of significant differences for all eleven traits examined, indicating the presence of genetic variation between the individuals studied. Higher values of Genotypic Coefficient of Variation (GCV) and Phenotypic Coefficient of Variation (PCV) were observed for panicle weight, number of filled grains, number of unfilled grains, total grains per panicle, and single plant yield. Least difference was observed between PCV and GCV value for almost all the traits indicating the little influence by the environment and possibility for genetic improvement of these traits through selection. The traits plant height, panicle weight, number of filled grains, number of unfilled grains, total grains per panicle, spikelet fertility, thousand grain weight and single plant yield recorded high heritability (>60%) associated with high genetic advance as percent of mean (>20) resulting in no environmental influence on the expression and selection for improvement of such characters could be worthwhile. High heritability coupled with moderate genetic advance as percent of mean was observed for panicle length propounding non-additive gene action in their inheritance suggesting heterosis breeding could be useful for improving these traits. Overall high PCV and GCV coupled with high heritability and high genetic advance as percent of mean was noticed for panicle weight, number of filled grains, number of unfilled grains, total grains per panicle, and single plant yield suggesting significant amount of variability with predominance of additive type of gene action. Hence, direct phenotypic selection.

Appraisal of Magic Lines of Rice (Oryza sativa L.) for Genetic Variability, Character Association and Path Analysis Studies

An investigation was carried out to estimate genetic parameters, assess association and path coefficient analysis among growth, yield and yield attributes in Multiparent Advanced Generation Intercross (MAGIC) lines of Rice (Oryza sativa L.). A total of 100 MAGIC lines along with seven checks were evaluated in augmented design during summer 2022 at ZAHRS, KSNUAHS, Shivamogga. Analysis of variance revealed significant differences among the advanced lines for all the traits under study. The variability studies among the lines revealed a higher Genotypic Coefficient of Variation (GCV), Phenotypic Coefficient of Variation (PCV), heritability and Genetic Advance as Percent of Mean (GAM) for majority of traits. The correlation and path coefficient analysis revealed that traits tillers per plant, productive tillers per plant, panicle length, number of spikelets per panicle, number of filled grains per panicle, spikelet fertility, test weight and length/breadth ratio were positively associated with yield. Selection of lines with higher filled grains per panicle would be effective for yield improvement program along with the higher percentages of productive tillers per plant, panicle length and spikelet fertility.

Estimation of genetic parameters and variability of various cayenne peppers under net shading

Abstract. Siahaan GF, Chozin MA, Syukur M, Ritonga AW. 2023. Estimation of genetic parameters and variability of various cayenne peppers under net shading. Biodiversitas 24: 5912-5919. The intercropping systems are important concerning the decreasing agricultural land and the increasing population. Chili could be planted as intercrops, but not all chili genotypes were adapted to low light-intensity stress. This study aims to determine the genetic diversity of cayenne pepper under 50% plastic net shade conditions based on morphological and agronomic traits. The study was conducted at the Cikabayan Experimental Field, Institut Pertanian Bogor, Dramaga, Bogor, from January to July 2021. The genetic material consisted of ten genotypes of cayenne pepper from Capsicum annuum L. and ten from Capsicum frustescens L.. Each genotype of chili was planted with three replications, so there were 60 experimental units. Each experimental unit consisted of six plants planted in an area of 1.5 m2. The shade used was a plastic net shade with a 50% shading level. The estimation of genetic parameters showed that leaf area, number of leaves, fruit weight, number of fruits, and yield per plant had a high genotypic coefficient of variation (GCV) and broad-sense heritability (Hbs). Cluster analysis resulted in two main clusters based on twelve chili growth and agronomic characters. All chili genotypes included in Cluster 1 were C. annuum chilies. On the other hand, all the chili genotypes in Cluster 2 were C. frutescens chilies except for the G19 genotype. Cayenne pepper in Cluster 2 had a higher number of leaves, plant height, stem diameter, leaf area, fruit diameter, pedicle length, fruit weight, number of fruits, and yield per plant than cayenne pepper in Cluster 1. The result of this study indicates that C. frutescens cayenne pepper has more potential to be planted under shading conditions and used in intercropping than C. annuum.

Genetic variability and divergence analysis in cassava (Manihot esculenta Crantz) accessions for storage root yield and other agronomic characters

Understanding the character of genetic variability and diversity is crucial to enhancing selection efficiency in plant breeding programs. This study aimed to estimate the magnitude of genetic variability and diversity among 64 accessions based on quantifiable characteristics to provide valuable information for breeding programs and conservation. The 64 accessions were evaluated in the two locations using an 8x8 lattice design. Analysis of variance showed a significant difference among the tested accessions for the characters studied, indicating the presence of variability and the possibility of character selection and improvement. The highest genotypic coefficient of variation revealed for the aboveground biomass, storage root yield, and storage root number indicates that the possibility of selection of those characters might be effective for their improvement. High heritability along with high genetic advance as a percent of the mean was observed for number of storage roots, length of storage roots, storage root yield, aboveground biomass, and harvest index, suggesting the existence of additive gene effects. The first three principal components explained 49 % of the total variation, with PC I accounting for 22.5 %, PC II for 15.6 %, and PC III for 10.9 % of the total variation. The 64 accessions were grouped into five clusters, and the number of accessions in each cluster was varied from 3 in cluster V to 31 in cluster II. The maximum inter-cluster diversity was found between IV and V (82.60), while cluster V (6.12) had the highest intra-cluster diversity. Accessions G8, G16, G40, G43, G46, G53, and G57 have been identified as the best candidates for the breeding program in terms of storage root yield. The various analyses performed in the present study confirmed the presence of wide variability & diversity among accessions, which could be used to develop cassava cultivars with optimal storage root yield through effective selection.

The Genetic Dissection of Economically Important Traits in Chilli Genotypes (Capsicum annuum L.) through Multivariate Analysis

Chilli (Capsicum annuum L.) cultivar share a variety of different and intriguing growth and yield characteristics, for a plant breeder studies on genotypic and phenotypic relationship for horticulture cum vegetable spicy crop and its traits are useful to design, evaluate and to develop selection criteria for desired traits. With this background information the present study focused on identification of crucial characteristics required for boosting yield and to determine the parameters for the selection of superior genotypes. A total of 30 chilli genotypes were subjected to variability, divergence and mutual correlation studies for yield and yield component traits by using multivariate analysis.
 Results from the analysis of variance and variability revealed highly significant differences at (p≤0.01) and (p≤0.05) for all the studied traits. The highest genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were observed for FL fallowed by FYP, NFP, IFW, WPDM, FD, PH and NSF respectively, except for MC has revealed low GCV and PCV. All the traits were shown the presence of high heritability ( ) in broad sense (>60%) coupled with high GAM (>20%), except for MC, indicating the presence of positive additive gene action and effective transmission of characters to the next generation with selection. Highly significant and positive strong correlation was observed for IFW (r = 0.68**), WPDM (r = 0.54**), TW (r = 0.40*) and FD (r = 0.37*) with FYP, while the path analysis revealed highest direct effect for the traits such as FPT, FL and NFP. Principle component analysis revealed a 70.60% total variation accounted with first four PCAs with Eigen vector values more than one.
 Further cluster analysis grouped the 30 chilli genotypes into four major cluster (Cluster I, II, III and IV) and combined cluster analysis identified genotypes contributing to the maximum variability, viz., cultivars such as LIPSTICK, B.KADDI, B.DABBI, BHOOT JALOKIA, SUM- 17, BCH- 42, PBC- 80, LCA- 310, M- 262, KA2- L, S. SELECTION 1, JCH- 42 and 9608- U, so these genotypes serves as a donor for further breeding programme to develop superior cultivars.

Assessment of Genetic Variability, Heritability and Genetic Advance among Different Characters in Tomato [Solanum lycopersicum (Mill.) Wettsd

The field experiment was carried out at Horticulture Research Farm No.1, Babasaheb Bhimrao Ambedkar University, Lucknow during Rabi season 2021-22. In this, twenty genotypes including check cultivars were evaluated to estimate the genetic variability, heritability and genetic advance for different characters. The experiment was laid out in Randomized Block Design (RBD) with three replications. Characters viz., days to 50% flowering, plant height, number of primary branches per plant, polar diameter of fruit, equatorial diameter of fruit, total soluble solids, number of fruits per cluster, average fruit weight, number of fruits per plant, marketable fruit yield per plant, unmarketable fruit yield per plant and total fruit yield per plant were studied during the experiment. Analysis of variance showed significant differences among genotypes for all the characters under study during the investigation. The Phenotypic coefficient of variance (PCV) was higher than the genotypic coefficient of the variation (GCV) for the characters studied. The highest genotypic coefficient of variation (GCV) was observed for unmarketable fruit yield per plant. The moderate GCV was reported for total fruit yield per plant followed by plant height and average fruit weight, polar diameter of fruit, no. of primary branches per plant, marketable fruit yield per plant and equatorial diameter of fruit whereas it was least for TSS followed by days to 50% flowering and number of fruits per cluster. Therefore these characters exhibited high heritability coupled with genetic advance thus show some scope for improvement through selection.

Studies of Genetic Variability and Inter-Relationship among Some Pumpkin (Cucurbita moschata L.) Landrace of Assam, India

Thirty diverse landraces of pumpkin comprising from eight districts of Assam viz., four landraces from each district, Sivasager, Dibrugarh, Karbi Anglong, Haflong, Jorhat & Majuli and three landraces from each Lakhimpur and Kokrajhar. The landraces were subjected to analyses of variance and covariance for estimation of genetic variability parameters and correlation coefficients among the 19 characters. The experiment was carried out during the rabi season of 2017-18 at the Instruction Cum and Research (ICR) Farm of Assam Agricultural University in a Randomized Block Design with three replications. From the analysis of variance, it was recorded that the presence of variation among thirty pumpkin landraces for all characters. The highest genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) was recorded for single fruit weight with 51.47 per cent and 54.88 per cent, indicating presence of greater variability for the trait. The heritability in the broad sense was recorded highest for the petiole length. The GA calculated as per cent of the mean was recorded for single fruit weight (99.44%), followed by yield per plant. In character association five traits were positively correlated with fruit yield per plant out of 18 characters.

Nutritional analysis of rice landraces from southern Odisha, India.

Rice landraces conserved by tribal farmers are important for their nutritional richness. Landraces are rich in essential amino acids, vitamins, anthocyanins, and flavonoids useful to cure noncommunicable diseases and metabolic disorders. A study was carried out with 10 rice landraces from the tribal-dominated belt of Southern Odisha to investigate grain nutrition, proximate composition, and vitamin and mineral contents. The protein content of the landraces was higher (>6 g/100 g) and the fat content was lower (<0.6 g/100 g) than popular Indian rice varieties. The mean nutrient content of 10 rice landraces was as follows: protein 6.3 ± 0.313 g/100 g, total dietary fiber 1.6 ± 0.094 g/100 g, fat 0.536 ± 0.008 g/100 g, ash 10.514 ± 6.753%, and total sugar 77.18 ± 2.118 g/100 g. The high genotypic coefficient of variation (GCV) was observed for alkali spreading value (31.11%), capacity of grain hydration (52.705), index of hydration (171.439), moisture (46.343%), and vitamin B2 (23.994%) in rice landraces. Few landraces had superior iron content: Kalamalli (1.49 mg/100 g), Kandulakathi (1.42 mg/100 g), and Dudhamani (1.39 mg/100 g) compared to popular Indian rice varieties. Tikichudi had highest moisture (19%) and fat (0.53 g/100 g) content, which signifies the taste quality of rice. Kanakchudi exhibited the highest fiber content (1.8 g/100 g) and ash content (22.80%). Kalamalli contained higher zinc (0.49 mg/100 g), iron (1.49 mg/100 g), potassium (108.33 mg/100 g), magnesium (78.33 mg/100 g), and phosphorus (125.00 mg/100 g), whereas Muktabali was found to have higher Ca (3.88 mg/100 g) and Baunsidubraj exhibited higher niacin (4.9 mg/100 g). The indigenous landraces Kalamalli, Kandulakathi, and Dudhamani had considerably high iron content, whereas Kalamalli, Baunsidubraj, and Muktabali possessed less phytic acid in comparison with existing varieties and other landraces reported from various states of our country. Landraces Kalamalli, Kanakchudi, Tikichudi, and Muktabali from southern Odisha, India, represented nutritionally better genetic pool for future rice improvement.

GENETIC VARIABILITY, CORRELATION AND DIVERSITY ANALYSIS OF 12 IMPORTANT JHUM RICE (Oryza sativa. L.) GENOTYPES OF NAGALAND

With 12 jhum rice genotypes, the experiment was conducted with a randomized block design and replicated thrice in the year 2022. For every character under the study, the variance estimates between genotypes varied significantly, pointing to a large variation in the samples.Effective tillers/plant followed by 1000-grain weight and grain yield per plant had the highest genotypic coefficient of variation (GCV). Maximum heritability and genetic advance were seen for the 1000-grain weight, the number of grains per panicle and effective tillers/plant. Therefore, using these attributes as selection criteria might result in the accumulation of more additive genes, which will improve their performance, Indicating the relative usefulness of this character for selection,The number of effective tillers per plant, leaf length, leaf width, plant height, panicle length, and 1000- grain weight were significantly correlated positively with grain yield per plant. Thestudy recommended that in order to increase the seed yield, consideration should be given to the number of effective tillers per plant, leaf length, leaf width, plant height, and panicle length. The 12 genotypes of rice were divided into four distinct clusters. Cluster I had two genotypes, Cluster III had two, and Cluster IV had one genotype. Cluster II had six genotypes. Cluster I and cluster IV were found to have the highest inter-cluster divergence, whereas cluster II and cluster III had the lowest divergence. As a result, hybridization programs including genotypes from clusters IV and I can be used.