Evaluation of genetic variability, heritability and genetic advance in blackgram [Vigna mungo (L.) Hepper]

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.

2017 ◽  
Vol 9 (2) ◽  
pp. 754-762
Author(s):  
Satish Paul ◽  
Nimit Kumar ◽  
Pankaj Chopra

Forty five linseed genotypes (local collection) were subjected to study the genetic variability at the Experimental Farm of the Department of Crop Improvement, CSK Himachal Pradesh KrishiVishvavidyalaya, Palampur, during rabi 2015-2016. Analysis of variance revealed that the differences among all the genotypes were significant for all the traits. Mean performance of genotype KLSA-15 for seed yield recorded highest contribution of 3.69 grams. The PCV values were greater than the GCV values for all the traits studied indicating that the apparent variation is not only due to genotypes but, also due to the influence of environment. The highest PCV (64.17) and GCV (64.09) were found for biological yield per plant. Higher estimates of PCV and GCV were obtained for primary branches per plant, secondary branches per plant, capsules per plant, biological yield per plant, harvest index (45.94 and 44.60) and seed yield per plant (52.39 and 50.94). All the characters studied in the present investigation expressed high heritability estimates ranging from 62.95 to 99.77 percent for technical height and biological yield per plant respectively. It was revealed that most of the traits under study showed low genetic advance, high heritability (94.23) and high genetic advance (31.06) was recorded for harvest index indicating predominance of additive gene action for this character. Simple selection based on phenotypic performance of this character would be more effective. The cluster analysis showed that the genotypes were placed into four clusters, showing inter-cluster divergence, which is important for future hybridization programme.


Genetika ◽  
2016 ◽  
Vol 48 (2) ◽  
pp. 665-674
Author(s):  
Bachubhai Monpara

In sesame, reproductive period is a component of crop maturity and harvest index is a component of seed yield. Both are important traits in applied plant breeding and associated with seed filling process, which helps optimizing crop duration and maximizing sesame yield. The study was focused on genetic control of these traits and to identify potential genotypes to use as parents in breeding programme. Seventy sesame germplasm lines were evaluated in randomized block design replicated thrice. Great variability for reproductive period and harvest index was observed. High heritability accompanied by high genetic gain for reproductive period, harvest index, biological yield and seed yield. Reproductive period was associated positively with days to maturity. Harvest index was associated positively with seed yield and biological yield but negatively with days to maturity. These circumstances suggest that increasing seed yield in sesame is possible through breeding for reproductive period and harvest index. However, performance data of selected genotypes demonstrate that it is wise to select for yield in conjunction with high biological yield and greater proportion of photosynthate partitioning together with optimum length of reproductive period. Use of present genetic variation like MARGO-TALL in manipulating both reproductive period and harvest index may be beneficial in sesame breeding programme.


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):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 


2018 ◽  
Vol 3 (01) ◽  
pp. 11-15
Author(s):  
Vipin Kumar Malik ◽  
Shiv Kumar Singh ◽  
Vijay Kumar ◽  
Norang Pal Singh ◽  
Ankit Malik ◽  
...  

The considerable amount of genetic variability on the basis of GCV and PCV estimates for the traits; days to 50% flowering, numbers of primary and secondary branches per plant, length of siliqua, 1000-seed weight, seed yield per plant, biological yield per plant and harvest index were found in thirty five genotypes of Indian mustard (Brassica juncea L. Czern and Coss). Heritability and genetic advance were higher for days to 50% flowering, plant height and biological yield per plant. Although, number of secondary branches per plant, seed yield per plant and harvest index had moderately high heritability with moderate genetic advance indicating additive gene effects and selection pressure could be applied on them for yield improvement leads to fast genetic improvement of the materials. Days to 75% maturity, length of siliqua, 1000-seed weight and oil content had low heritability indicating that these traits were under the influence of environmental factors and selection on the basis of these traits could not be effective.


Author(s):  
Santosh Kumar ◽  
Vedna Kumari ◽  
Vinod Kumar

The present investigation was undertaken to assess the genetic variability and character associations for seed yield and component characters in 307 soybean germplasm lines. The lines were raised in augmented block design in four blocks during kharif 2014. Out of these, twenty seven promising genotypes were selected and forwarded for evaluation along with four checks in randomized block design with three replications at CSKHPKV, Palampur (H.P) during kharif 2015. The analysis of variance revealed the presence of sufficient genetic variability in the breeding material. High PCV and moderate GCV were recorded for harvest index and biological yield/plant. High heritability coupled with high genetic advance were observed for harvest index followed by biological yield /plant, seed yield /plant, number of pods/plant and 100-seed weight indicating the predominance of additive gene action in controlling the trait. Number of branches /plant, number of seeds /pod, biological yield/plant and harvest index exhibited significantly positive correlation with seed yield /plant both at phenotypic and genotypic levels. Two traits viz., harvest index and biological yield /plant could be considered as direct selection indices for yield improvement in soybean.


2019 ◽  
Vol 6 (2) ◽  
pp. 245-251
Author(s):  
Nushrat Jahan ◽  
ABM Shafiul Alam ◽  
Atiya Sharmin Mitu ◽  
Md Ahasan Habib ◽  
Md Sefaur Rahman

The present study was conducted at the Research farm of Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka, during March to June 2014 to examine the effect of Phosphorus on the growth and yield of Sesame. BARI Til-3 variety was used for the study. This experiment was consisted of single factor eg. phosphorus. There were three levels of phosphorus viz. (i) P0 (0 % P), (ii) P1 (20 % P) and (iii) P2 (30 % P) and the experiment was laid out in a Randomized Complete Block Design (RCBD) with six replications. Different levels of phosphorus showed significant effect on growth and yield of sesame. Individually phosphorus had significant effect on highest plant height, number of leaves plant-1, number of primary branches plant-1, number of secondary branches plant-1, number of capsule plant-1, number of seeds capsule-1, 1000 seed weight, seed yield and harvest index. The highest plant height of sesame (136.30 cm), the highest no leaves plant-1 of sesame (34.44), number of primary branches plant-1 (5.56), number of secondary branches plant-1 (7.61), number of capsule plant-1 (25.87), number of seed capsule-1 (70.47),1000 seed weight (3.54), Seed yield (1581.00 kg ha-1), Stover yield (3034.42 kg ha-1), biological yield (4615.76), harvest index (34.11%), oil content (43.92%) was recorded from P1. Again, the highest days to first flowering of sesame (31.67) was recorded from P1 (20 % P) but the highest days to maturity was (85.67) recorded from P2 (30% P). Application of P at different percentage is causing effect in growth and yield of sesame. Res. Agric., Livest. Fish.6(2): 245-251, August 2019


Author(s):  
Dinesh Awasthi ◽  
Vimlesh Kumar Tiwari ◽  
V. S. Kandalkar

Genotypic source of variations were significant for all characters in 168 genotypes including 7 checks of Indian mustard at 5% level of significance. Maximum seed yield per plant (g) and harvest index was recorded in MRNJ-82; whereas, the minimum days to 50% flowering and maturity were recorded in RVM-1 and MRNJ-5 respectively. In genotypes viz; MRNJ-36, RVM-2, MRNJ-59, JM-1, MRNJ-53 and MRNJ-35 had maximum plant height (cm), number of primary branches per plant, number of secondary branches per plant, number of siliqua per plant, number of seeds per siliqua and 1000 seed weight (g). Highest GCV and PCV were recorded for seed yield per plant which indicates for improvement through selection among these genotypes. High heritability along with high genetic advance as percentage of mean has been noticed for seed yield per plant and harvest index indicating less influence of environment and also the presence of additive, dominance and interaction among genes in the expressions of these characters. Low genetic advance along with low heritability estimate were observed for number of primary branches per plant and number of seeds per siliqua. This indicates the involvement of additive and non-additive gene actions in their inheritance.


2014 ◽  
Vol 47 (2) ◽  
pp. 5-12
Author(s):  
J. Jalilian ◽  
H. Delkhoshi

Abstract In order to study the role of leaf position on yield and yield component of maize, this research was conducted based on randomized complete block design with three replicates at the research field of Urmia University, Urmia, Iran, in 2011. For determine the role of leaf position in maize yield, we used the leaf removing (clipping) treatments. Leaf clipping treatments contain ear leaf clipping, above ear leaf clipping, below ear leaf clipping and control (without leaf clipping) that imposed at one week after ear initiation. Leaf removing had a significant effect on all measured traits (number of seed per row, row number per ear, ear length, 1000 seed weight, seed yield, biological yield), except harvest index. Removing of above leaves decreased 6.68% the number of seeds on ear compare to control. The highest 1000 seed weight (274 g) was observed in plants without leaf clipping. Ear leaf clipping and below ear leaf defoliation ranked second for 1000 seed weight. Whereas plants without any leaf clipping had the utmost seed yield (8.77 t ha-1) but defoliating of leaf above ear lead to lower seed yield (6.77 t ha-1). Leaf removal above ear decreased 22.80% biological yield compared to control. The correlation analysis showed that all traits had positive correlation with seed yield. The most correlation was between ear length and number of row per ear (r=0.89**). Also, number of seed per row (r=0.71**), 1000 seed weight (r=0.67**), ear length (r=0.65**), biological yield and harvest index (r=0.59**) showed the most correlation with seed yield, respectively. Results revealed that the most reduction in all traits accrued in maize plants with above ear leaf clipping, this results indicated that the important roles of leaves position especially the role of above ear leaves in yield and yield components of maize.


2021 ◽  
Vol 8 (2) ◽  
Author(s):  
TAMALAPAKULA ANUHYA JAYAPRADA TAMALAPAKULA ◽  
◽  
G ROOPA LAVANYA ◽  
V RAM BABU ◽  
CH NAGA SAI KRISHNA ◽  
...  

Greengram is an important short duration pulse crop grown extensively throughout India. The productivity is very less when compared to other pulse crops in India and in Uttar Pradesh. Hence, the experiment was conducted with the aim of identifying different genotypes and characters that will be useful in improving its productivity. The present investigation was intended to study the extent of variation, heritability and genetic advance among different characters of greengram in sandy loam soils of Uttar Pradesh in a set of 20 genotypes including check Samrat in randomized block design with three replications during the Kharif, 2017. Observations were recorded for 13 quantitative characters. The genotypes KM11 584, KM11 583, RMG 1030, MH 934, NAVYA and SHARIF were identified as desirable genotypes. Harvest index, biological yield per plant, number of clusters per plant, number of seeds per pod exhibited high GCV, PCV, heritability and genetic advance as percent of mean. Thus priority should be given to these characters during selection in breeding programme for greengram yield improvement.


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