scholarly journals Assessment of genetic diversity through morphological characterization in chickpea (Cicer arietinum L.)

2021 ◽  
Vol 16 (2) ◽  
pp. 109-117
Author(s):  
Kadiyala Naga Suresh ◽  
Gabriyal M. Lal

The experiment was conducted at Field Experimentation Centre, Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj during Rabi 2019-2020 in Randomized Block Design with three replications. The investigation was prevailed to examine the 40 genotypes along with one check (PUSA 362) to study the genetic variability, genetic advance, heritability and Genetic diversity. Analysis of variance exhibited significant differences among the genotypes for all the characters indicating presence of good amount of variability among the genotypes for all the characters used in study. high GCV and PCV were observed for biological yield (31.5 and 39.47). High heritability (>80%) was recorded for character Days to 50% flowering (89%) followed by days to maturity (87%), days to 50% flowering (86%), seed weight (82%). Higher genetic advance was observed for no. of seeds per plant (39.64) followed by no. of pods per plant (31.77), biological yield (21.07), days to 50% maturity (11.41) and plant height (11.03). D2 values showed adequate genetic diversity among the genotypes studied. On the basis of D2 values all the genotypes were grouped into five clusters with varying number of genotypes in the clusters. The maximum genetic distance (D) of 54.46 was found between the clusters IV and II. Greater the divergence between the 2 clusters, wider is that the genetic diversity within the genotypes. The cluster mean for days to 50 per cent flowering varied from 84.00(V) to 108 (III). The cluster mean for days to 50 per cent pod setting varied from 86.67 (IV) to 120.67 (II). The cluster mean for 100 seed weight was maximum in (cluster II) 24.33 and minimum in (cluster IV) 20. The cluster mean for harvest index was maximum in (cluster II) 56.71 and minimum in (cluster V) 38.56. The cluster mean for biological yield was maximum in (cluster III) 53.13 and minimum in (cluster II) 36.2. The cluster mean for seed yield was maximum in (cluster III) 20.93 and minimum in (cluster V) 13.2. Therefore, the genotypes present in these clusters can be used for future hybridization.

2018 ◽  
Vol 4 (2) ◽  
pp. 207-221
Author(s):  
Md Masud Rana ◽  
Md Ashraful Islam ◽  
Shahin Imran ◽  
Silve Rubani ◽  
Lutful Hassan

A total of 10 NERICA lines (7 mutants along with 3 parents) of advanced generations were used for morphological and molecular characterization. The experiments were conducted in both Aus and Aman season, 2014 under different field conditions at the field of Biotechnology division, BINA, BAU Campus, Mymensingh-2202 following Randomized Complete Block Design (RCBD) with three replications. The genotypes differed significantly for all the traits. The seasonal differences on all the traits except 100-seed weight were also highly significant. The season’s × genotypes interactions were highly significant. The mean value of days to maturity was the lowest in Aman season than Aus season and the mean yield of rice lines was the highest in Aman season than Aus season. The phenotypic co-efficient of variations (PCV) were higher than genotypic co-efficient of variations (GCV) for all the traits studied indicating that they all interacted with the environment to some extent. All the traits studied expressed moderate to high heritability estimates ranging from 53.70 to 99.54%. High heritability along with high genetic advance was noticed for the traits, number of filled grain panicle-1, number of unfilled grain panicle-1 and plant height. Significant positive correlations were recorded for yield plot-1 with effective tillers hill-1 and panicle length and significant negative correlations were recorded for yield plot-1 with days to maturity and unfilled grains panicle-1. Plant height, total tillers hill-1, effective tillers hill-1, panicle length, filled grains panicle-1 and 100-seed weight showed direct positive effect on yield plot-1 at both genotypic and phenotypic level. Therefore, these characters would be reliable criteria for improving yield.Asian J. Med. Biol. Res. June 2018, 4(2): 207-221


Author(s):  
Binita Xalxo ◽  
Gabrial M. Lal ◽  
Sneha Debnath ◽  
Avneesh M. Tripathi

The present investigation was carried out at the field Experimentation Centre, Department of genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P. The experiment on 22 genotypes was laid out in Randomised Block Design with three replications. Observations were recorded on five randomly selected plants to each treatment and replication for 13 quantitative characters viz., days to 50 per cent flowering, days to 50 per cent pod setting, days to maturity, plant height, number of primary branches per plant, number of secondary branches per plant, number of pods per plant, number of seeds per pod, number of seeds per plant, 100-seed weight, harvest index, biological yield, seed yield per plant and one qualitative character protein content to estimate the variability, heritability. genetic advance, correlation and path coefficient analysis among yield. Maximum GCV and PCV were recorded for number of pods per plant and 100-seed weight. High genetic advance as percentage of mean recorded for number of pods per plant. High heritability was recorded for 100-seed weight. High genetic advance was recorded for 100-seed weight. Seed yield per plant had showed high positive significant correlation with biological yield per plant, harvest index, number of pods per plant and number of seeds per plant at phenotypic and genotypic levels.


Author(s):  
Gitesh Padol G. R. Lavanya ◽  
Rohini Kurandale

Twenty one mungbean (Vigna radiate L.Wilczek) genotype were evaluated for the estimation of genetic variability, heritability, genetic advance, correlation coefficient, and path coefficient analysis for yield and its component traits. A considerable amount of genetic variability was observed among all the genotypes for all the character under study. GCV and PCV were highest for number of primary branches per plant, followed by 100 seed weight and number of clusters per plant. High genetic advance coupled with high heritability were observed 100 seed weight followed by number of clusters per plant, plant height and number of primary branches per plant. Combined results of correlation coefficient and path analysis revealed that number of primary branches per plant, 100 seed weight, biological yield and harvest index are major component traits for the improvement of grain yield.


Author(s):  
Praveen Pandey ◽  
Rajesh Kumar ◽  
Vankat Raman Pandey

Twenty three pigeonpea genotypes were evaluated in a randomized block design during Kharif 2012-13. The objective of this research was to assess inter-relationships, direct and indirect effects among yield and its components for genetic improvement of pigeonpea. The analysis of variance revealed highly significant differences for all characters under study among the genotypes. Considering the correlation analysis biological yield/plant, pods/plant, 100-seed weight, harvest-index and secondary branches/plant had highly significant positive correlation with seed yield. Path analysis identified biological yield/plant followed by harvest-index, pods/plant, days to maturity, primary branches/plant 100-seed weight and seeds/pod as most important direct yield components while biological yield/plant and harvest-index as most important indirect components. Hence, these traits should be given much emphasis at the time of devising selection strategy to achieve a quantum jump in pigeonpea yield.


2019 ◽  
Vol 6 (02) ◽  
pp. 121-128
Author(s):  
Devi Liana ◽  
Heni Purnamawati ◽  
Maya Melati ◽  
Yudiwanti Wahyu

Cowpea (Vigna unguiculata L. Walp) is one of the potential substitutes of soybean due to its similar nutritional content. This study aims to determine the optimum rate of N fertilizer for the production of cowpea, and to determine the effects of the interaction between N fertilizer rates and goat manure application on cowpea production. The experiment was organized in a split-plot with a complete randomized block design with three replications. The main plot was goat manure, i.e. 0 and 5 tons.ha-1; the sub-plot was nitrogen fertilizer with five rates (0, 50, 100, 150, and 200% of the recommended rate), i.e. 0, 22.5, 45, 67.5, and 90 kg N.ha-1. Application of N fertilizer reduced the 100-seed weight and slightly reduced cowpea yield and yield components. Application of goat manure increased seed dry weight per plant, number of pods per plant, dry pod weight per plant, seed dry weight per m2, productivity, 100-seed weight, and the harvest index. There was no significant interaction between goat manure and different rates of nitrogen in affecting cowpea growth.


Author(s):  
Godwin Michael Ubi ◽  
Maria Bisong Onabe ◽  
Success Eni Kalu

The success of any selection process is greatly enhanced by using appropriate selection indices. The knowledge of the relationship among various traits affecting grain yield is imperative to arrive at potentially effective selection index. The study was carried out to unveil the different attributes of genetic variability, the type of interrelationships among the various traits affecting yield. Fifteen local and improved maize inbred lines were crossed to three tester varieties to develop 45 test cross progenies. The parents and crosses (63 entries in all) were evaluated in two different locations with three replications at each location using the Randomized complete block design (RCBD). Data generated was recorded for the quantitative traits evaluated and subjected to statistical analysis for estimation of various variability parameters namely GCV, PCV, heritability and genetic advance alongside computing genotypic correlation coefficients and path coefficient analysis to unveil the direct and indirect effects of the various traits studied. The analysis of variability parameters evaluated revealed the presence of significant variability for all the traits studied. Grain yield, ear length, ear height, 100-seed weight and ear diameter showed high GCV estimates, with high heritability. The genetic advance was higher for plant height, ear length, grain/row and grain yield. The genotypic correlation coefficient revealed that ear diameter, 100 seed weight, ear length, kernel rows/ear and grains/row had highest significant correlation with grain yield. The path coefficient analysis revealed that highest direct effect on grain yield was exhibited by 100 seed weight followed by grains/row, kernel rows/ear, ear length and ear diameter. Most of the traits exerted their positive indirect effects through 100 – seed weight, kernel rows/ear and grains/row. The inferences of the results of the present study and their possible implications in maize breeding have been revealed.


2019 ◽  
Vol 4 (01) ◽  
pp. 106-109
Author(s):  
Amit Tomar ◽  
D. K. Upadhyay

An experiment involving 45 genotypes/strains of mungbean was conducted during kharif 2018 at University Farm (Crop Cafeteria) of Rani Lakshmi Bai Central Agricultural University (RLBCAU), Jhansi in a Randomized Block Design with three replications. Data were recorded and analyzed for 10 characters viz.; days to 50% flowering, days to maturity, plant height (cm), number of primary branches per plant, number of clusters per plant, number of pods per plant, pod length (cm), number of seeds per pod, 100-seed weight (g) and grain yield per plant (g). All the forty five genotypes were grouped into seven different clusters using D2 statistics. Cluster-I, II, III, IV, V, VI and VII had 8, 5, 4, 5, 13, 2 and 8 genotypes, respectively. The greatest inter cluster distance (297.39) was between cluster-II and cluster-V.


Author(s):  
Shilpa Chauhan ◽  
Raj Kumar Mittal ◽  
A. Lohar ◽  
Vinod Kumar Sood ◽  
Ranjana Patial

An attempt was made to study blackgram germplasm with an objective to develop genetically diverse genotypes accompanied with high heritable components of yield contributing traits. The experimental material comprised of 21 blackgram genotypes, was examined during kharif 2015 and 2016. Experimental study conducted during kharif 2015, was mainly relied on selection of transgressive segregants, which were further analyzed in Compact Family Block Design during kharif 2016. The results depicted that families and progenies within families were significantly different for majority of the traits and found to be highly variable for biological yield, harvest index and seed yield. High heritability coupled with high genetic advance were recorded for plant height (74.15%, 33.12%), branches per plant (84.34%, 40.55%), biological yield (83.51%, 69.11%) and seed yield (84.50%, 66.11%). Thus, the present findings could be beneficial to develop superior genotypes through selection in blackgram breeding program.


1969 ◽  
Vol 55 (1) ◽  
pp. 23-43
Author(s):  
Abad Morales Muñoz ◽  
Raúl Abrams

Three varieties and an irradiation-derived line of pigeonpeas were used as parents in five crosses as follows: P.I. 5690 X Kaki, P.I. 5690 X Saragateado, P.I. 5690 X 526, Kald X 526, and Saragateado X 526. The F2, F3 and parents of each cross were planted in the field at the Isabela Substation during 1966-67 in a randomized block design with three replicates. Genotypic variability was studied and genotypic and phenotypic correlations were calculated for all the crosses in the F2 and F3 generations. Genetic coefficients of variation and heritability estimates were computed for four traits in five crosses and for six traits in one particular cross. Frequency distributions are shown for date of flowering, plant height, and seed weight. There was much greater variation for all crosses, in general, in seed weight, plant height, and flowering date than in number of seeds per pod. With the exception of number of pods per plant the correlations between seed yield and other traits were not great enough to provide reliable indications for yield. The phenotypic and genotypic correlations between seed yield and number of pods per plant were high, above 0.90. However, their low heritability, 45.3 and 52.1 percent in F2 and F3 generations, tends to indicate that not too much progress could be expected for seed yield improvement by selecting for large number of pods per plant. Good progress by selection could be made by breeders in traits such as flowering date, plant height, and seed weight which showed high heritability values.


Author(s):  
Priyanka Jaiswal ◽  
. Banshidhar ◽  
. Banshidhar ◽  
Dan Singh Jakhar ◽  
Rajesh Singh

Thirty biofortified inbred lines of maize were evaluated for 11 parameters to study the genetic diversity by using D2 statistics during kharif 2017in Randomized Block Design (RBD) with three replications at Agricultural Research farm, Institute of Agricultural Sciences, BHU Varanasi. In present investigation all genotypes were grouped into ten cluster. Among the different clusters of inbred lines, the cluster II with 8 inbreds emerged as the largest cluster. The intra cluster D2 value ranged from 10.82 to 44.89. The maximum intra cluster distance was observed for cluster X (D2 = 44.89). The maximum inter cluster distance was observed between cluster V and VI (D2 = 180.90) followed by cluster V and VII (D2 = 166.10), cluster IV and V (D2 = 155.60), cluster V and VIII (D2 = 135.02) and cluster I and VI (D2 = 127.66). The maximum contribution towards divergence was due to 100 seed weight (52.18%), thus, estimates of variation in seed weight could be used as a basis for selection of distantly related parents. Highest mean value for grain yield per plant (80.8) and Zn concentration (39.53) were observed in cluster IV, while the highest mean value for 100 seed weight was found in cluster V. Therefore, these clusters prove to be of prime importance for selection of parents in hybridization programme aimed at higher yield along with enhanced grain Zn concentration.


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