scholarly journals Genetic Diversity of Yield Attributing Components and Seed Yield in Lentil (Lens culinaris Medik.)

2019 ◽  
pp. 1-6
Author(s):  
Anil Kumar
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Lens Culinaris ◽  
Breeding Strategy ◽  
Number Of Clusters ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Transgressive Segregants ◽  
Per Se ◽  
Selection Of

The experiment was conducted using 140 lentil genotypes at (farm name?) Bihar Agricultural University, Sabour, Bhagalpur in 2017-18. The genetic divergences were estimated using D2 analysis where a number of clusters were formed considering all genotypes of indigenous and exogenous types. Genetic variation of genotypes in considerable traits was significant for selection of desired type that can be utilised in future breeding programme. The study on correlation, genotypic variability, and path analysis of seed yield and yield components were essential for determining the relevance of considerable traits in enhancement of seed yield. The total genotypes were grouped into 5 clusters viz. Cluster I was found to be the largest comprising 121 genotypes, followed by cluster III of 12 genotypes. Cluster II, IV had three genotypes each and V was monogenic. Seeds per plant, days to maturity and pods per plant contributed extreme divergence among the genotypes which can be integrated in enhancement of productivity of lentil. On the basis of cluster mean, intra and inter cluster distance and per se cluster III, IV and V may be used for their desired characters in breeding strategy. The genotypes BRL-1, BRL-2, BRL-3 LKH-1, LKH-2, LKH-3, FLIP 2010-73L-2, FLIP 2010-86L and X2011S-111-2 may be considered in breeding to gain high heterotic effect and also to improve the desirable transgressive segregants.

Genetic divergence, correlation and path coefficient analysis for the yield components of pigeonpea genotypes

2015 ◽  
Author(s):  
SNCVL Pushpavalli ◽  
C. Sudhakar ◽  
C. Sudha Rani ◽  
R. Raja Rajeswari ◽  
C. Jyothi Rani
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Yield Components ◽  
Seed Weight ◽  
Mean Value ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Cluster Distance ◽  
100 Seed Weight

The present investigation was carried out using thirty two pigeonpea genotypes during kharif 2013-14 to obtain the knowledge of correlation, path coefficient analysis for the yield components and genetic divergence. The range of GCV was observed from 9.81 to 40.88% for the traits under study which provides information regarding the extent of variability present among the genotypes. Seed yield was significantly and positively correlated with number of secondary branches/plant, pods/plant and 100-seed weight. Path coefficient analysis indicated that number of secondary branches exhibited maximum direct effect followed by number of pods/plant and 100 seed weight. The genotypes were grouped into eight different clusters based on Mahalonobis D2 statistics. Clusters II and III exhibited maximum inter cluster distance of 8.80. Days to 50% flowering contributed to maximum genetic divergence followed by seed yield. Genotypes in cluster III recorded highest mean value for days to maturity, number of secondary branches and seed yield.

scholarly journals Genetic Divergence (D2) Evaluation in Horsegram [Macrotyloma uniflorum (L) Verdcout] Genotypes

2021 ◽  
Vol 10 (9) ◽  
pp. 291-300
Author(s):  
Rakesh Singh ◽  
J. L. Salam Mahendra
Keyword(s):  
Seed Yield ◽  
Quantitative Traits ◽  
Research Station ◽  
College Of Agriculture ◽  
Mean Values ◽  
Macrotyloma Uniflorum ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Check Variety ◽  
Total Divergence

The experiment was performed at Research cum Instructional Farm, Shaheed Gundadhoor College of Agriculture and Research Station, Kumhrawand, Jagdalpur, Chhattisgarh. A total of 56germplasm lines and 1 check variety of horsegram were assessed for 10 quantitative traits during kharif2018.Genotypes were grouped into eight clusters. Clusters VI had maximum intra cluster distance while inter cluster distance was maximum between cluster VI and cluster VIII. Cluster III and cluster VIII had highest mean values for seed yield per plant characters. The characters viz., pods per plant followed by days to maturity and seed yield per plant were main contribution to total divergence. Based on the result genotypes belonging to clusters II, III and VIII are recommended for hybridization, as these genotypes showed good performance for seed yield and belong to the diverse clusters.

scholarly journals Genetic variability studies for selection of elite germplasm in sesame (Sesamum indicum L.)

2019 ◽  
Vol 81 (2) ◽  
pp. 87-104
Author(s):  
Sabrin Sultana ◽  
Firoz Mahmud ◽  
Md Abdur Rahim
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Sesamum Indicum ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Medicinal Value ◽  
Cluster Distance ◽  
Sesame Genotypes ◽  
Elite Germplasm ◽  
Selection Of

Sesame (Sesamum indicum L.) is one of the oldest oilseed crops and important for high nutritional quality as well as medicinal value. Fifty diverse sesame genotypes were evaluated to study genetic variability. The results revealed that the genotypes were a significant variation in most of the studied characters. In all cases, the phenotypic variances were much higher than genotypic variances suggests a higher level of the environmental effect on the expression of these characters. The highest genotypic coefficient of variations (GCV) was observed in seed yield per plant while the highest heritability was exhibited by hundred seed weight followed by days to 80% maturity, pods per plant, number of branches per plant and seed yield per plant. The genotypic correlation with seed yield per plant showed a significantly strong positive with days to 50% flowering, plant height and number of pods per plant at both the genotypic and phenotypic level. The path coefficient analysis showed that pods per plant and seeds per pod were the most important contributing traits to seed yield. The 50 sesame genotypes were grouped into five clusters. The highest inter-cluster distance was observed between the cluster III and V while the lowest inter-cluster distance was observed between the cluster III and IV. Among 50 sesame genotypes G7, G36, G38 and G46 might be suggested for future hybridization program for the improvement of sesame yield.

scholarly journals Quantitative Genomic Dissection of Soybean Yield Components

2019 ◽  
Vol 10 (2) ◽  
pp. 665-675
Author(s):  
Alencar Xavier ◽  
Katy M. Rainey
Keyword(s):  
Genomic Prediction ◽  
Yield Components ◽  
Genetic Architecture ◽  
Breeding Strategy ◽  
Genotype By Environment ◽  
Field Crops ◽  
Common Parent ◽  
Data Collections ◽  
Enhanced Yield ◽  
Selection Of

Soybean is a crop of major economic importance with low rates of genetic gains for grain yield compared to other field crops. A deeper understanding of the genetic architecture of yield components may enable better ways to tackle the breeding challenges. Key yield components include the total number of pods, nodes and the ratio pods per node. We evaluated the SoyNAM population, containing approximately 5600 lines from 40 biparental families that share a common parent, in 6 environments distributed across 3 years. The study indicates that the yield components under evaluation have low heritability, a reasonable amount of epistatic control, and partially oligogenic architecture: 18 quantitative trait loci were identified across the three yield components using multi-approach signal detection. Genetic correlation between yield and yield components was highly variable from family-to-family, ranging from -0.2 to 0.5. The genotype-by-environment correlation of yield components ranged from -0.1 to 0.4 within families. The number of pods can be utilized for indirect selection of yield. The selection of soybean for enhanced yield components can be successfully performed via genomic prediction, but the challenging data collections necessary to recalibrate models over time makes the introgression of QTL a potentially more feasible breeding strategy. The genomic prediction of yield components was relatively accurate across families, but less accurate predictions were obtained from within family predictions and predicting families not observed included in the calibration set.

Genetic Divergence Analysis in Mungbean (Vigna radiata L. Wilczek)

2019 ◽  
Vol 4 (01) ◽  
pp. 106-109
Author(s):  
Amit Tomar ◽  
D. K. Upadhyay
Keyword(s):  
Seed Weight ◽  
Block Design ◽  
Number Of Clusters ◽  
Randomized Block Design ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Farm Crop ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

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.

Genetic divergence analysis in chickpea germplasm

2018 ◽  
Author(s):  
Renuka Shivwanshi ◽  
Anita Babbar
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Mean Values ◽  
Cluster Distance ◽  
Biological Yield ◽  
Per Se ◽  
Total Divergence ◽  
100 Seed Weight

A total of 434 germplasm lines of chickpea were assessed for 13 quantitative traits during rabi 2015-16 at JNKVV, Jabalpur. Genotypes were grouped into fourteen clusters. Clusters II and cluster XIV and cluster XII and cluster XIV, had maximum inter cluster distance. The characters viz.,effective pods per plant followed by biological yield per plant, plant height and 100-seed weight were main contribution to total divergence. Cluster XIV and cluster XIII had highest mean values for maximum number of characters. Based on the result IC 83812, EC 198729, EC 490027, IC 53245, IC 83827and IC 83889 are recommended for hybridization, as these genotypes showed good per se performance for seed yield and belong to the highly diverse clusters.

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 Pendugaan Keragaman Genetik dan Korelasi Antara Komponen Hasil Kacang Hijau Berumur Genjah

2016 ◽  
Vol 20 (2) ◽  
pp. 51 ◽  
Author(s):  
Ratri Tri Hapsari
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Vigna Radiata ◽  
Yield Components ◽  
Selection Criteria ◽  
Genetic Advance ◽  
Seed Number ◽  
Early Maturity ◽  
Days To Maturity

<p>Estimation of Genetic Variability and Correlation Among Early Maturity Mungbean Yield Components. Ratri T. Hapsari. Early maturity mungbean [Vigna radiata (L.) Wilczek] is very important to avoid drought stress, pest and disease attack as well as increase the index planting. The aims of this research was to estimate genetic variability and correlation. The genetic study included heritability, coefficient of genetic variability, genetic advance and correlation among yield components so that it can be used as selection criteria for early maturity mungbean. A total of 145 accessions of mungbean were tested at Muneng farm station in March-June 2010 using a randomized block design, with two replicates. Each accession was planted at 0.8 m x 4 m with spacing 40 cm x 10 cm, with two plants/hole. Fertilization was done by adding 50 kg urea, 75 kg SP36, and 75 kg KCl/ha, at the time of planting. The results showed that mungbean accesions had significant differences in all characters tested. The genetic variance value of all characters was broad with high broadsense heritability estimates, except for number of pods/ cluster and seed number/pod. Genetic advance of all characters were high, except for seed number/pod. The phenotypic correlation between 1000 seeds weight and pod length with seed yield were positive significant while plant height, flowering days, days to maturity, and number of pods per plant had negative significant correlation with its yield. Therefore, plant height, days to maturity, pod lenght, 1000 seeds weight and seed yield could be used as selection criteria based on estimating value of genetic variability, correlation with yield and economic value. There were five genotype which have index value above 20, i.e MLGV 0353, MLGV 0362, MLGV 0354, MLGV 0358, and MLGV 0351.</p><p> </p><p><strong>Abstrak</strong></p><p>Kacang hijau [Vigna radiata (L.) Wilczek] berumur genjah berperan penting untuk menghindari cekaman kekeringan, serangan hama penyakit, dan meningkatkan indeks pertanaman. Penelitian ini bertujuan untuk mengetahui nilai duga parameter genetik dan korelasi antar komponen hasil sehingga dapat digunakan sebagai kriteria seleksi kacang hijau berumur genjah. Sebanyak 145 genotipe kacang hijau diuji di KP Muneng pada bulan Maret sampai dengan Juni 2010 menggunakan Rancangan Acak Kelompok dengan dua ulangan. Setiap aksesi ditanam pada plot 0,8 m x 4 m dengan jarak tanam 40 cm x 10 cm, dua tanaman/lubang. Pemupukan dilakukan dengan 50 kg urea, 75 kg SP36, dan 75 kg KCl per hektar pada saat tanam. Parameter yang diamati adalah tinggi tanaman, umur 50% berbunga, umur 80% masak, jumlah polong/tangkai, jumlah polong/tanaman, panjang polong, jumlah biji/polong, bobot 1.000 biji, dan bobot biji/plot. Hasil penelitian menunjukkan bahwa genotipe yang diuji memiliki keragaman semua sifat yang diamati. Keragaman genetik dan fenotipik tergolong luas. Heritabilitas arti luas tergolong tinggi, kecuali jumlah polong/tangkai dan jumlah biji/polong tergolong sedang. Kemajuan genetik seluruh karakter tinggi, kecuali jumlah biji/polong. Korelasi antara bobot 1.000 biji dan panjang polong bernilai positif nyata dengan bobot biji/plot, sedangkan tinggi tanaman, umur berbunga, umur masak, dan jumlah polong per tanaman berkorelasi negatif nyata. Berdasarkan nilai duga parameter genetik, korelasi antarhasil, dan nilai ekonomisnya, maka tinggi tanaman, umur masak, panjang polong, bobot 1.000 biji dan bobot biji per plot dapat dijadikan kriteria seleksi indeks. Terdapat lima genotipe memiliki nilai indeks lebih dari 20, yaitu MLGV 0353, MLGV 0362, MLGV 0354, MLGV 0358, dan MLGV 0351.</p>

Analysis of morphological characters inter-relationships in the germplasm of mungbean [Vigna radiate (L.) Wilezek] in the hot arid climate

2016 ◽  
Vol 39 (1) ◽  
Author(s):  
Om Vir ◽  
A. K. Singh
Keyword(s):  
Genetic Variability ◽  
Short Duration ◽  
Seed Yield ◽  
Block Design ◽  
Morphological Characters ◽  
Cluster Number ◽  
Number Of Clusters ◽  
Days To Maturity ◽  
Pod Number ◽  
Number Of Seeds

The 38 indigenous and exotic accessions of mungbean were evaluated in a randomized complete block design with three replicates during <italic>summer</italic> and <italic>kharif</italic> seasons of fragile climate of Rajasthan to estimate the presence of genetic variability, inter-characters associations, to identify a suitable short duration accession for cultivation during <italic>summer</italic> and to compare the relative performance of the genotypes in two seasons. The high degree of genetic variability was estimated during both seasons for seed yield per plant (g), 100-seed weight (g.), number of seeds per pod, number of pods per plant, number of pods per cluster, number of branches per plant, number of clusters per plant, plant height (cm.), number of days to 50% flowering and number of days to maturity. The moderate to high heritabilities coupled with moderate to high expected genetic advance were observed for all studied traits. Number of seeds per pod, number of pods per plant, number of pods per cluster, number of clusters per plant, days to 50% flowering and days to maturity had positive and significant correlations with seed yield per plant. The accession IC 39289-P<sub>4</sub> had been identified to be of short duration of 50 days. The accessions PLG 62, EC 520035, IC 305291, IC 39383, IC 39333, IC 39403 during <italic>summer</italic> season and EC 511379, PLM-14, IC 324021, EC 511371, IC 370497 during <italic>kharif</italic> seasonexhibited superiority in terms of seed yield over best check.

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