Designing Selection Criteria by Using Association Studies and Estimation of Genetic Diversity in Fenugreek (Trigonella foenum-graecum L.) Germplasm

2020 ◽  
Author(s):  
Bhawana . Bhatt ◽  
Manoj . Raghav ◽  
K . Prathapan ◽  
Anita . Singh ◽  
A. S. Jeena ◽  
...  
Keyword(s):  
Seed Yield ◽  
Selection Criteria ◽  
Association Studies ◽  
Block Design ◽  
Plant Genetic Resources ◽  
Randomized Block Design ◽  
Leaf Yield ◽  
Cluster Distance ◽  
Transgressive Segregants ◽  
Trigonella Foenum Graecum L

An investigation consisting of 36 fenugreek genotypes and one check (Pusa Early Bunching) was laid out in Randomized Block Design with three replications at Pantnagar Centre for Plant Genetic Resources (PCPGR) of the G.B.P.U.A and T, Pantnagar, Uttarakhand during rabi season of 2016-17 and 2017-18 and observations were recorded on sixteen different traits. The traits viz., number of pods per plant, thousand seed weight and leaf yield per plant exhibited high direct effects on seed yield per plant along with significant positive correlation indicating that these traits can be used as most important selection criteria for seed yield improvement. The diversity analysis leads to formation of nine different clusters and maximum intra-cluster distance was observed in cluster IV (21.07) while highest inter-cluster distance was recorded between cluster VII and IV (46.07). These clusters actually represent the different heterotic pools and genotypes from diverse pools can be crossed to obtain heterosis and transgressive segregants.

scholarly journals Selection criteria for yield in safflower (Charthamus tinctorius L.) genotypes under rainfed conditions

2021 ◽  
Vol 72 (3) ◽  
pp. e421
Author(s):  
H. Koç
Keyword(s):  
Seed Yield ◽  
Selection Criteria ◽  
Block Design ◽  
Central Anatolia ◽  
Biplot Analysis ◽  
Randomized Block Design ◽  
Combined Use ◽  
Yield Trait ◽  
Thousand Seed Weight ◽  
Number Of Branches

This research was conducted on 20 safflower genotypes and lasted 3 years (2014-2016) in the Central Anatolia Region of Turkey. The experiments were conducted in randomized block design with four replications. The relationships among yield 9 other traits in safflower genotypes were investigated. As the average of three years, the greatest seed yield (SY) was obtained from genotype G5 (PI 451952) with 3156.3 kg·ha-1. It was followed by genotypes G4 (PI 525458) and G9 (PI 306686) with 3013.2 and 2977.1 kg·ha-1, respectively. Among the standard cultivars, the greatest seed yield (2750.4 kg·ha-1) was obtained from the Dinçer cultivar. The greatest oil content (OC) was obtained from the genotype G11 (PI 537665) with 36.5%. It was followed by the genotypes G9 (PI 306686) (35.4%), G6 (PI 537598) (35.4%) and G14 (PI 560169) (35.3%). Oil contents varied between 29.1-36.5%. Yield-trait relationships were assessed through both correlation analysis and GT (Genotype by Trait) biplot analysis. Based on the results of the two approaches, plant height (PH), number of branches (NB), number of heads (NH) and thousand-seed weight (TSW) were identified as the most significant selection criteria for yield from safflower. The combined use of correlation and biplot analysis in the assessment of relationships among the traits improved the chance for success.

Response of different yield components as selection criteria for yield and yield components in early generations of lentil (Lens culinaris L.)

2015 ◽  
Author(s):  
Yerasu Suresh Reddy ◽  
Akshay Talukdar ◽  
Harsh Kumar Dikshit ◽  
V. P. Singh ◽  
Mukesh Rana ◽  
...  
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Selection Criteria ◽  
Block Design ◽  
Selection Criterion ◽  
Selection Response ◽  
Correlated Response ◽  
Plant Seed ◽  
Randomized Block Design ◽  
Seed Index

Selected forty F2 single plant progenies of a lentil cross viz., L-830 × MC-6 and bulked seeds were evaluated in a randomized block design with two replications for secondary branches per plant, pods per plant, seed yield per plant and seed index as independent selection criteria. Out of the four selection criterion, highest realized selection response in percentage was recorded for pods per plant (37.42 %), and was followed by secondary branches per plant (28.5 %). The realized correlated response to selection for seed yield per plant was significant under the selection criteria number of pods per plant. Thus the selection criteria pods per plant was more effective than other selection criterion.

Genetic variability, association studies and genetic divergence in Indian fenugreek (Trigonella foenum- graecum L.) varieties

2018 ◽  
Author(s):  
Alka Panwar ◽  
Y.K. K. Sharma ◽  
R. S. Meena ◽  
R. K. Solanki ◽  
O. P. Aishwath ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Genetic Divergence ◽  
Association Studies ◽  
Test Weight ◽  
Trigonella Foenum Graecum ◽  
Cluster Distance ◽  
Total Divergence ◽  
Trigonella Foenum Graecum L

Indian fenugreek (Trigonella foenum-graecum L.) varieties were biometrically studied for seed yield and yield contributing traits to assess genetic variability, character association and genetic divergence. Highly significant differences between varieties for all the studied traits were observed. Pooled results illustrated high estimates of PCV along with GCV for number of branches per plant, test weight, number of pods per plant, number of nodules per plant, plant height and seed yield per plant. High heritability along with genetic advance was recorded for plant height and test weight. Association studies showed highly significant positive correlation and high direct effect of test weight, plant height and number of pods per plant on seed yield. Diversity analysis grouped the set of 17 varieties into two clusters and there was lack of parallelism between genetic and geographic diversities. Intra cluster distance was the highest in cluster I than cluster II. Test weight (37.50%) contributed the maximum to total divergence, followed by plant height.

scholarly journals Assessment of Genetic Diversity of Chickpea Genotypes (Cicer arietinum L.) Using D2 Statistics

2021 ◽  
pp. 51-56
Author(s):  
M. Karthikeyan ◽  
Sharad Pandey ◽  
Gideon Synrem ◽  
K. R. Saravanan
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Block Design ◽  
Rabi Season ◽  
Cicer Arietinum L ◽  
Quantitative Characters ◽  
Randomized Block Design ◽  
Cluster Distance

An experiment using twenty genotypes of chickpea (Cicer arietinum L.) was conducted during Rabi season of 2019-2020, to find the genetic diversity using D2 statistics. The experiment was laid out in randomized block design with three replications at the experimental field of Himgiri Zee University, Dehradun. The observations was recorded on  nine quantitative characters where five randomly selected plants were taken the average was computed while the traits days to 50 % flowering and days to 100 % maturity was taken from plot basis. Results revealed that the genotypes were grouped into 4 clusters where Cluster-I had fifteen genotypes and cluster II had three genotypes while one genotype each was present in cluster III and IV. The seed yield per plant contributed maximum towards genetic diversity (32.00 %) followed by plant height at maturity (14.00 %) and number of secondary branches (9.00 %). The maximum intra cluster distance was found in cluster II (164.691) indicating that the 15 genotypes including in the cluster II were most divergent. However, maximum inter cluster distance was noticed between cluster I and cluster II (313.247) which could be used in hybridizing program.

Combining ability and heterosis studies across environments in linseed (Linum usitatissimum L.)

2011 ◽  
Vol 59 (1) ◽  
pp. 87-102 ◽  
Author(s):  
S. Sood ◽  
N. Kalia ◽  
S. Bhateria
Keyword(s):  
Seed Yield ◽  
Linum Usitatissimum ◽  
Combining Ability ◽  
Yield Components ◽  
Block Design ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Component Traits ◽  
Parental Lines ◽  
Fibre Yield

Combining ability and heterosis were calculated for fourteen lines of linseed in a line × tester mating design using twelve lines and two diverse testers in two different environments. The hybrids and parental lines were raised in a completely randomized block design with three replications to investigate seed and fibre yield and their component traits. Genetic variation was significant for most of the traits over environments. Combining ability studies revealed that the lines KL-221 and LCK-9826 were good general combiners for seed yield and most of its components, whereas LMH-62 and LC-2323 were good general combiners for yield components only. Moreover, KL-221 was also a good general combiner for fibre yield. Similarly, B-509 and Ariane were good general combiners for fibre yield and most of its components. Among the specific cross combinations, B-509 × Flak-1 was outstanding for seed yield per plant and B-509 × KL-187 and LC-2323 × LCK-9826 for fibre yield per plant, with high SCA effects. In general, the hybrids excelled their respective parents and the standard checks for most of the characters studied. Based on the comparison of mean performance, SCA effects and the extent of heterosis, the hybrids LC-2323 × LCK-9826 and B-509 × KL-221 appeared to be the most promising for both seed and fibre yield. Other promising combinations were LC-2323 × KL-210 and B-509 × Ariane for seed and fibre yield, respectively. The superiority of LC-2323, LCK-9826, KL-221, B-509 and Ariane as good general combiners was further confirmed by the involvement of these parents in the desirable cross combinations.

Effect of Irrigation Methods and Mulching on Growth and Seed Yield of Semialata

2020 ◽  
Vol 7 (01) ◽  
Author(s):  
SK SRIVASTAVA ◽  
PAWAN JEET
Keyword(s):  
Seed Yield ◽  
Drip Irrigation ◽  
Growth Parameters ◽  
Block Design ◽  
Water Requirement ◽  
Furrow Irrigation ◽  
Plastic Mulch ◽  
Randomized Block Design ◽  
Daily Water ◽  
Black Plastic

A study was conducted to assess the effect of drip irrigation and plastic mulch on growth and seed yield of Semialata. Two types of plastic mulch (green and silver/black) were tested at three levels of irrigation (120%, 100% and 80%) by drip irrigation and one level (100%) by furrow irrigation. The daily water requirement of Semialata was estimated by the equation ETcrop= ETox crop factor. ETcrop is crop water requirement mm/day. ETo (reference evapotranspiration, mm/day) was calculated by FAO calculator which uses temperature and humidity data. In this experiments there were twelve treatments were considered. The treatments were replicated thrice. The experiment was laid in randomized block design. It was observed that drip irrigation with or without plastic mulch is yielding better results in terms of growth parameters and seed yield as compared to furrow irrigation without plastic mulch. It was also observed that maximum suppression (67.58%) of weeds resulted with drip irrigation and silver/black plastic mulch at 80% level of irrigation.

scholarly journals Quantification of Avoidable Yield Losses in Oilseed Brassica Caused by Insect Pests

2011 ◽  
Vol 51 (1) ◽  
pp. 38-43 ◽  
Author(s):  
Jagdev Kular ◽  
Sarwan Kumar
Keyword(s):  
Seed Yield ◽  
Yield Loss ◽  
Insect Pests ◽  
Block Design ◽  
Maximum Yield ◽  
The Other ◽  
Yield Losses ◽  
Eruca Sativa ◽  
Mustard Aphid ◽  
Randomized Block Design

Quantification of Avoidable Yield Losses in OilseedBrassicaCaused by Insect PestsA six year field study was conducted from 2001-2002 to 2006-2007 at Punjab Agricultural University, Ludhiana, India to study the losses in seed yield of differentBrassicaspecies (B. juncea, B. napus, B. carinata, B. rapaandEruca sativa) by the infestation of insect pests. The experiment was conducted in two different sets viz. protected/sprayed and unprotected, in a randomized block design, with three replications. Data on the infestation of insect pests, and seed yield were recorded at weekly intervals and at harvest, respectively. The loss in seed yield, due to mustard aphid and cabbage caterpillar, varied from 6.5 to 26.4 per cent.E. sativasuffered the least loss in seed yield and harboured the minimum population of mustard aphid (2.1 aphids/plant) and cabbage caterpillar (2.4 larvae/plant). On the other hand,B. carinatawas highly susceptible to the cabbage caterpillar (26.2 larvae/plant) and suffered the maximum yield loss (26.4%).

scholarly journals Genetic Analysis of Some Genotypes of Indian Mustard (Brassica juncea L.) for Yield and Yield Attributing Traits

2021 ◽  
pp. 51-60
Author(s):  
A. M. Pradhan ◽  
M. Roy Choudhury ◽  
A. Sawarkar ◽  
S. Das
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Indian Mustard ◽  
Correlation Study ◽  
Biotic And Abiotic Stress ◽  
Randomized Block Design ◽  
Additive Gene ◽  
Positive Direct

The current investigation was carried out to examine the selection criteria for yield improvement in selected genotypes of Indian mustard. Twenty-four genotypes of Indian mustard were evaluated for seed yield and yield attributing characters with randomized block design with three replications. The analysis of variance showed significant differences among all the 24 genotypes against all the characters. The phenotypic and genotypic coefficient of variation were higher for most of the traits like seed yield per plant, number of secondary branches per plant and number of siliquae per plant. High heritability coupled with high genetic advance in percent of mean was registered for number of siliquae per plant, number of primary and secondary branches per plant, plant height, 1000 seed weight, siliqua length per plant and seed yield per plant suggesting predominant role of additive gene action for expression of these traits. The correlation study revealed that seed yield per plant was positively and significantly correlated with number of primary and secondary branches per plant, number of siliquae per plant, siliqua length per plant and 1000 seed weight at both phenotypic and genotypic level. The traits namely, number of secondary branches per plant recorded as highest positive direct effect followed by number of seeds per siliqua, number of siliquae per plant and plant height. Therefore, they may be carried out further evaluation in multilocational trials, biotic and abiotic stress like environmental conditions to check their stability and adaptability.

scholarly journals Effect of Planting Method and Seeding Date on Leaf and Seed Production of Lettuce

2019 ◽  
pp. 1-12
Author(s):  
M. Shahinul ◽  
M. Rahman ◽  
M. M. R. Salim ◽  
B. Ahmed ◽  
M. H. Rashid
Keyword(s):  
Seed Production ◽  
Seed Yield ◽  
Block Design ◽  
Direct Seeding ◽  
Dry Matter Content ◽  
Quality Traits ◽  
Treatment Combination ◽  
Leaf Yield ◽  
Seeding Time ◽  
Planting Method

Aim: The objective of this study is to identify the suitable planting method and seeding time for leaf and seed production of lettuce. Place and Duration: A field study was carried out in Bangadandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur Bangladesh during 2012-13. Materials and Design: A commercial lettuce variety BSMRAU lettuce-1 was used in this study. The experiment was laid out in a randomized complete block design with three replications and two factors, namely planting method (M1 – transplanted seedling produced on nursery bed, M2 - transplanted seedling produced in polybag and M3 - direct seeding) and seeding time (T1 - 16 October, T2 - 1 November, T3 - 16 November, T4 - 1 December and T5 - 16 December). Results: Analyses of variance revealed with a statistically significant variation (p<0.01 or p<0.05) among the treatments. The treatment interaction revealed that the highest leaf yield 27.33 t/ha was harvested from M3T2, which was statistically similar with M2T2 (26.78 t/ha). On the other hand, the highest seed yield 412.00 kg/ha was harvested from the treatment combination of M3T2, which was statistically different from all other treatment combinations. Quality traits viz. dry matter content, fiber content and organoleptic test were also better in early seeding. Conclusion: Considering leaf yield, seed yield and quality traits, direct seeding at 1 November was found to be the most suitable treatment combination for leaf and seed production of lettuce in Bangladesh conditions. But transplanting with polybag raised seedlings may be suitable if the land is occupied by the pervious crops.

Integration of Various Stability Models to Identify High Yielding and Stable Genotypes of Pigeonpea [Cajanus cajan (L.) Millspaugh]

2021 ◽  
Author(s):  
Amit Kumar Gaur ◽  
S.K. Verma ◽  
R.K. Panwar ◽  
Anju Arora
Keyword(s):  
Cluster Analysis ◽  
Seed Yield ◽  
Hierarchical Cluster Analysis ◽  
Cajanus Cajan ◽  
Block Design ◽  
Hierarchical Cluster ◽  
Interaction Effects ◽  
Kharif Season ◽  
Pulse Crop ◽  
Randomized Block Design

Background: Pigeonpea is second most important pulse crop of India after chickpea and it is necessary to identify its high yielding and stable genotypes to feed the increasing population of country. Methods: The present study was laid down in a Randomized Block Design with three replications during kharif season of 2016-2019 at GBPUAT, Pantnagar using twenty genotypes of pigeonpea with an aim to identify the high yielding and stable genotypes. The hierarchical cluster analysis (HCA) based on mean seed yield and Average of Sum of Ranks (ASR) of all measures (Parametric and non-parametric) was used in present study.Result: The pooled ANOVA revealed the presence of significant differences among genotypes, environments and G x E interaction effects. The results of hierarchical cluster analysis indicated the genotypes PA 622 (yield=1774.85 kg/ha, ASR=2.00), PA 620 (yield= 1579.92 kg/ha, ASR=2.18), UPAS 120 (yield=1268.57 kg/ha, ASR=2.87), PA 626 (yield=1571.40 kg/ha, ASR=5.56), PUSA 992 (yield= 1331.17 kg/ha, ASR=5.68) and PA 628 (yield= 1271.50 kg/ha, ASR=7.06) as most stable and high yielding and hence these genotypes can be recommended for pigeonpea improvement programmes.

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