Genetic variability and character association studies for seed yield and component characters in soybean [Glycine max (L.) Merrill] under North-western Himalayas

2018 ◽  
Author(s):  
Santosh Kumar ◽  
Vedna Kumari ◽  
Vinod Kumar
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Harvest Index ◽  
Association Studies ◽  
Block Design ◽  
Direct Selection ◽  
Western Himalayas ◽  
Plant Seed ◽  
Biological Yield ◽  
Four Blocks

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.

Effect of crop geometry, fertilizer levels and genotypes on growthand yield of fenugreek (Trigonellafoenum-graecum L.)

2016 ◽  
Author(s):  
S. S. Meena ◽  
R. Meena ◽  
R. S. Mehta ◽  
R. K. Kakani
Keyword(s):  
Seed Yield ◽  
Harvest Index ◽  
Block Design ◽  
Rabi Season ◽  
Plant Seed ◽  
Straw Yield ◽  
Net Return ◽  
Randomized Block Design ◽  
Biological Yield ◽  
Crop Geometry

A field experiment was conducted during rabi season of 2012-13 which consisted of two spacing viz., 30 cm x10 cm (S1), 22 cm x 10 cm (S2) and two fertilizer levels viz., F1- 40:40:20 kg NPK per ha, F2- 50:50:25 kg NPK per ha and three genotypes viz., Ajmer Fenugreek-1 (V1), Ajmer Fenugreek-3 (V2) and Ajmer Fenugreek-4 (V3). The experiment was laid out in factorial randomized block design with three replications. Result revealed that significantly higher seed yield (2437.4 kg ha-1), straw yield (3356.8 kg ha-1), biological yield (5794.2 ha-1), net return (Rs.57358 ha-1) and BCR (2.5) were recorded with sowing at a spacing of 22 cm x 10 cm as compared to 30 cm x 10 cm spacing but numbers of pods per plant (37.0), seed yield per plant (43.5 g), test weight (16.6 g) and harvest index (41.80) were higher in 30 cm x 10 cm spacing. Irrespective of spacing and genotypes, the application of 125 percent RDF ( NPK 50:50:25) recorded significantly more pods (40.7) per plant, seed yield (41.9 g) per plant, seed yield (2249.1 kgha-1), straw yield (3094.2 kgha-1), biological yield (5343.2 kgha-1), 1000 seed weight (16.4 g), harvest index (42.07), net return (Rs.51091.0 ha-1) and BCR (2.3) as compared to 100 percent RDF(NPK 40:20:20). Significantly higher number of pods (42.9/pod), seed yield (45.9 g/plant), seed yield (2270.7 kgha-1), straw yield (3066.8 kgha-1), biological yield (5337.4 kgha-1), net return (Rs.51927.0 ha-1) and BCR (2.3) were recorded with AFg-4. Thus, it is inferred that sowing at 22 cm x 10 cm spacing with application of 125 per cent of recommended dose of fertilizer is better for realizing higher yield, net return and BCR.

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

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. 

scholarly journals The Effect of Organic and Inorganic Fertilization on The Yield and Some Yield Components of Lentil (Lens culinaris Medic.) In Van Conditions

2021 ◽  
Vol 5 (4) ◽  
pp. 786-794
Author(s):  
Cihan YEŞILBAŞ ◽  
Yeşim TOGAY
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Block Design ◽  
Chicken Manure ◽  
Seed Number ◽  
Protein Ratio ◽  
Branch Number ◽  
Plant Seed ◽  
Growing Seasons ◽  
Biological Yield

The study was conducted to determine effects of organic and inorganic fertilization on the yield and some yield components in lentil cultivars in 2014-15 growing seasons in Van. The experiment was laid out in a factorial randomised block design with three replications. The study was conducted to determine effects of different fertilizer sources (Control, DAP, Chicken manure and sheep manure) on the yield and some yield components in two lentil cultivars (Özbek and Kafkas). In the study were investigated the plant height, first pod height, branch number per plant, pod and seed number per plant, seed number per pod, biological yield, seed yield per unit, harvest index, 1000-seed weight and protein ratio in seed. The highest seed yield was obtained from chicken manure application of Özbek cultivar with 157.6 kg da-1.  

Association among genetic parameters in Indian mustard (Brassica juncea L. Czern and Coss.)

2018 ◽  
Vol 3 (01) ◽  
pp. 11-15
Author(s):  
Vipin Kumar Malik ◽  
Shiv Kumar Singh ◽  
Vijay Kumar ◽  
Norang Pal Singh ◽  
Ankit Malik ◽  
...  
Keyword(s):  
Brassica Juncea ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Indian Mustard ◽  
Flowering Plant ◽  
Genetic Advance ◽  
Gene Effects ◽  
Plant Seed ◽  
Biological Yield

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.

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

2018 ◽  
Author(s):  
Shilpa Chauhan ◽  
Raj Kumar Mittal ◽  
A. Lohar ◽  
Vinod Kumar Sood ◽  
Ranjana Patial
Keyword(s):  
Experimental Study ◽  
Seed Yield ◽  
Harvest Index ◽  
Block Design ◽  
Genetic Advance ◽  
Biological Yield ◽  
High Heritability ◽  
Superior Genotypes ◽  
Transgressive Segregants ◽  
Selection Of

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.

scholarly journals Role of beneficial microbes with nitrogen and phosphorous levels on canola productivity

2022 ◽  
Vol 82 ◽  
Author(s):  
Hazratullah ◽  
A. Muhammad ◽  
M. Alam ◽  
I. Ahmad ◽  
A. Jalal
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Control Treatment ◽  
Nitrogen And Phosphorus ◽  
Plant Seed ◽  
Seed Filling ◽  
Beneficial Microbes ◽  
Biological Yield ◽  
The Impact

Abstract A research was conducted to evaluate the impact of various nitrogen and phosphorus levels along with beneficial microbes to enhance canola productivity. The research was carried out at Agronomy Research Farm, The University of Agriculture Peshawar in winter 2016-2017. The experiment was conducted in randomized complete block factorial design. The study was comprised of three factors including nitrogen (60, 120 and 180 kg ha-1), phosphorous (70, 100 and 130 kg ha-1) and beneficial microbes (with and without BM). A control treatment with no N, P and BM was also kept for comparison. Application of beneficial microbes significantly increased pods plant, seed pod, seed filling duration, 1000 seed weight, biological yield and seed yield as compared to control plots. Nitrogen applied at the rate of 180 kg ha-1 increased pods plant-1, seed pod, seed filling duration, seed weight, biological yield and seed yield. Maximum pods plant-1, seed pod, early seed filling, heavier seed weight, biological yield, seed yield, and harvest index were observed in plots treated with 130 kg.ha-1 phosphorous. As comparison, the combine treated plots have more pods plant-1, seeds pod-1, seed filling duration, heaviest seeds, biological yield, seed yield and harvest index as compared to control plots. It is concluded that application of beneficial microbes with N and P at the rate of 180 kg ha-1 and 130 kg ha-1, respectively, increased yield and its attributes for canola.

Genetic Variability, Character Association and Path Analysis for Pod Yield and its Component Characters in Groundnut [Arachis hypogaea (L.)]

2021 ◽  
Author(s):  
Giradhari Lal Yadav ◽  
S.S. Rajput ◽  
D.K. Gothwal ◽  
M.L. Jakhar
Keyword(s):  
Genetic Variability ◽  
Block Design ◽  
Crop Improvement ◽  
Kernel Weight ◽  
Direct Selection ◽  
Oilseed Crop ◽  
Pod Yield ◽  
Biological Yield ◽  
Positive Direct ◽  
Kernel Yield

Background: Groundnut is an important oilseed crop in the India. The groundnut kernels serve as a rich source of edible oil (48-50%) and quality protein (25-28%). In crop improvement programme, availability of sufficient genetic variability is of immense importance. The knowledge of nature and magnitude of genetic variance controlling yield and yield components is a prerequisite for improvement of yield in any crop. Methods: The present investigation was undertaken to assess the genetic variability and character associations for pod yield and component characters in 45 genotypes of groundnut. The genotypes were raised in randomized complete block design with three replications during kharif 2019 at SKNAU, Jobner (Rajasthan). Result: The analysis of variance revealed significant differences among the genotypes for all the characters studied indicating presence of wide genetic variation for different characters. In the present investigation, high genetic advance coupled with high heritability and GCV was observed for biological yield per plant, 100-kernel weight, kernel yield per plant, dry pod yield per plant and pods per plant which indicated prevalence of additive gene action in their expression and these traits possessed high selective value. Kernel yield per plant, pods per plant and biological yield per plant exhibited significantly positive correlation with dry pod yield per plant both at genotypic and phenotypic levels, while shelling percentage at genotypic level only. Three characters viz., kernel yield per plant, pods per plant and biological yield per plant could be considered as direct selection parameters for yield improvement in groundnut because they exerted positive direct effect on dry pod yield per plant.

scholarly journals Assessment of genetic variability, correlation and path association in rice (oryza sativa l.)

1970 ◽  
Vol 18 ◽  
pp. 1-8
Author(s):  
SK Yadav ◽  
BG Suresh ◽  
Praveen Pandey ◽  
Binod Kumar
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Test Weight ◽  
Index Number ◽  
Panicle Length ◽  
Spikelets Per Panicle ◽  
Biological Yield

Context: Direct selection based on crop yields is often a paradox in breeding programmes because yield is a complex polygenically inherited character, influenced by its component traits.   Objectives: The present research work was taken up to assess genetic variability, phenotypic and genotypic associations between various components of grain yield to provide basis for selection and yield improvement in rice.   Materials and Methods: Correlation coefficient and path association are used to find out the degree (strength) and direction of relationship between two or more variable and for fixing up the characters which are having decisive role in influencing the yield. Therefore, a field experiment was carried out to establish the extent of association between yield and yield components and others characters in rice. Analysis of variance revealed that significant amount of genetic variability was present in the entire characters studied.   Results: High heritability coupled with high to moderate genetic advance as % of mean was observed on plant height seed yield per plant, biological yield, harvest index, test weight and number of spikelets per panicle suggesting preponderance of additive gene action in the expression of these characters. The correlation coefficient between seed yield per plant and other quantitative attributing to yield showed that grain yield was significantly and positively associated with harvest index, number of tillers per hill, number of panicle per plant, panicle length, number of spikelet's per panicle and test weight at both genotypic and phenotypic levels. Path coefficient at genotypic level revealed that harvest index, biological yield, number of tillers per hill, panicle length, number of spikelets per panicle, plant height and test weight had direct positive effect on seed yield per hill, indicating these are the main contributors to yield.Conclusion: From the correlation and path study it may be concluded that harvest index, number of tillers per hill, panicle length, and number of spikelet per panicle and test weight are the most important characters that contributed directly to seed yield per hill. Thus a genotype with higher magnitude of these traits could be either selected from existing genotypes or evolved by breeding program for genetic improvement of yield in rice.   Key words: Rice; variability; heritability; agro-morphological traits; correlation; pathDOI: http://dx.doi.org/10.3329/jbs.v18i0.8767 JBS 2010; 18(0): 1-8

scholarly journals Effect of phosphorus on growth and yield of sesame

2019 ◽  
Vol 6 (2) ◽  
pp. 245-251
Author(s):  
Nushrat Jahan ◽  
ABM Shafiul Alam ◽  
Atiya Sharmin Mitu ◽  
Md Ahasan Habib ◽  
Md Sefaur Rahman
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Block Design ◽  
Growth And Yield ◽  
Stover Yield ◽  
Biological Yield ◽  
Number Of Leaves ◽  
P Application

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

scholarly journals How Much, Leaves Near the Ear Contribute on Yield and Yield Components of Maize?

2014 ◽  
Vol 47 (2) ◽  
pp. 5-12
Author(s):  
J. Jalilian ◽  
H. Delkhoshi
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
Harvest Index ◽  
Block Design ◽  
Leaf Position ◽  
Leaf Clipping ◽  
Yield And Yield Components ◽  
Biological Yield

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.

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