Assessment of Genetic Variability and Traits Association in Pigeonpea [Cajanus cajan (L.) Millsp.] Germplasm

2021 ◽  
Author(s):  
C. Vanniarajan ◽  
P. Magudeeswari ◽  
R. Gowthami ◽  
S.M. Indhu ◽  
K.R. Ramya ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Seed Weight ◽  
Morphological Variability ◽  
Pigeon Pea ◽  
Colour Pattern ◽  
Genetic Advance ◽  
Next Generation ◽  
Improvement Program ◽  
Stem Colour

Background: Pigeon pea is an important dietary protein source for humans but the production was constrained by various biotic and abiotic factors. Breeding strategies were followed to improve yield and developing high yielding varieties but at the same time utilization of genetic resources have declined. Pigeon pea is native to India with huge natural genetic variability in the local germplasm and its wild relatives. So it is necessary to identify and select breeding material from germplasm with considerable genetic and morphological variability to utilize in breeding programmes. As an initial study, 200 pre-breeding lines developed were evaluated for morphological variability patterns.Methods: A total of two hundred lines selected from F4 generation of pigeon pea developed at ICAR-NBPGR were evaluated in Randomized Block design (RBD) during 2014-2015 kharif season under Indo-Swiss collaboration in Biotechnology at Agricultural College and Research Institute, Madurai (TNAU). The accessions found to be superior in seed yield than the local check APK1were forwarded to the next generation (2015-2016) for assessment of genetic variability, heritability, genetic advance and association studies.Result: Qualitative traits were evaluated and variation in leaflet shape, stem colour, pattern of streaks and base seed colour were observed. All tested lines expressed greater variability for most of the traits. Maximum coefficient of variation was observed for number of pods per plant followed by number of primary branches per plant. Selection of traits with moderate heritability coupled with high genetic advance like number of pods per plant, number of primary branches per plant could help in crop improvement program. Seed yield was positively correlated with number of seeds per pod, number of pods per plant and hundred seed weight. Potential genetic stocks and donors for high yield were selected based on hundred seed weight and seeds per pod. The accessions superior in number of pods and seed yield than check were forwarded to next generation for assessment. The identified trait-specific accessions will help in future breeding program.

scholarly journals Genetic Variability, Heritability, Genetic advance and Divergence in Ethiopian Cowpea [Vigna unguiculata (L) Walp] Landraces

2020 ◽  
Author(s):  
Fantaye Belay ◽  
Kibrom Fischa
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Crop Improvement ◽  
Grain Filling ◽  
Genetic Advance ◽  
Improvement Program ◽  
Cluster Distance

Abstract Information on genetic variability in cowpea germplasm is important for crop improvement and for efficient utilization of the existing genetic resources. Hence, the objectives of the present investigation were to estimate genetic variability, heritability, genetic advance and to identify divergent parents from distantly related clusters among Ethiopian cowpea accessions. The field experiment was carried out using 42 accessions at Abergelle Agricultural Research Center on station during the 2019 cropping season. Data were collected for 8 agronomic traits and analysis of variance revealed significant differences (p<0.01) among the accessions for the traits studied. Seed yield had higher genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) coupled with the highest genetic advance as percent of mean (100%). All the traits had moderate (68.01) to very high (99.98%) broad sense heritability. Further, high heritability coupled with high genetic advance as percent of mean was attained for days to flowering, grain filling period, plant height, pod length, seed yield and thousand seed weight reflecting the presence of additive gene action for the expression of these traits and improvement of these traits could be done through selection. The cluster analysis based on agronomic traits revealed four distinct groups at 90% similarity level. The highest inter cluster D2 was recorded between cluster III and cluster IV (D2=133.69 units). The range of inter cluster distance was 15.25 to 133.69 units, respectively. In conclusion, the high genetic distance revealed among clusters has to be exploited via crossing and selection of the most divergent parents for future cowpea improvement program.

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 Genetic Variability and Characters Associations in Rapeseed (Brassica napus L.)

2016 ◽  
Vol 29 (2) ◽  
pp. 11-16 ◽  
Author(s):  
S. D. Joya ◽  
A. K. M. Shamsuddin ◽  
U. K. Nath
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Weight ◽  
Harvest Index ◽  
Phenotypic Variability ◽  
Positive Association ◽  
Genetic Advance ◽  
Brassica Napus L ◽  
Significant Positive Association ◽  
Effect On Yield

Thirty eight rapeseed genotypes were evaluated to estimate the genetic variability and association among the genotypes, following 8 quantitative characters. A considerable amount of genetic variability were found ranges from 1000 seed weight (11.09g) to harvest index (44.00%) and phenotypic variability for plant height (13.36m) to harvest index (44.14%). High heritability was found for all characters except 1000 seed weight (67.04g). Minimum genetic advance was observed for 1000 seed weight (0.63g) and maximum for plant height (29.72m). The lowest genetic advance in percent of mean was found in 1000 seed weight (18.70g) and highest in harvest index (90.35%). Plant height, raceme length and 1000 seed weight have significant positive association with yield with harvest index. Plant height, raceme length, 1000 seed weight and harvest index have imposed direct positive effect on yield per plant (g). As Plant height, raceme length, 1000 seed weight and harvest index are mainly driven by the additive genes so that selection criteria based on this characters should be effective.Bangladesh J. Pl. Breed. Genet., 29(2): 11-16, 2016

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.

scholarly journals Genetic variability, heritability and genetic advance for growth, yield and yield related traits in maize genotypes

2021 ◽  
Vol 2 (2) ◽  
pp. 96-104
Author(s):  
Roshesh Rai ◽  
Prakash Khanal ◽  
Prabin Chaudhary ◽  
Rabin Dhital
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Agronomic Traits ◽  
Block Design ◽  
Genetic Advance ◽  
Improvement Program ◽  
Positive Correlation ◽  
Maize Genotypes ◽  
High Heritability ◽  
Ear Height

Evaluation of the genetic variability, heritability and genetic advance of traits is an essential task in any plant improvement program. Twenty maize genotypes were replicated twice in a randomized complete block design on a research plot of Prithu Technical College, Deukhuri Dang of Nepal from June 2017 to September 2017 to determine genetic variability, heritability, and genetic advance for different agronomic traits. Analysis of variance showed significant differences in the traits tassel length, ear height, days to fifty percent tasseling, days to fifty percent silking, kernels’ rows ear-1, kernels row-1 and grain yield. The highest GCV (31.53%) and PCV (39.20%) were recorded on grain yield. Grain yield and ear height recorded high heritability along with high genetic advance as a percent of mean (GAM). Tassel length and kernels row-1 showed high heritability integrated with moderate GAM and moderate heritability integrated with moderate GAM respectively. Further, grain yield showed a significant and positive correlation with plant height, tassel length, ear height, cob length, cob diameter, kernels’ rows ear-1, and kernels row-1. Thus the selection of ear height, tassel length and kernels row-1 is suggested as they performed better in terms of both heritability and GAM than other traits and they also recorded a significant and positive correlation with yield.

scholarly journals Studies on Genetic Variability, Heritability and Genetic Advance in Pigeon Pea (Cajanus cajan (L.) Millsp.)

2020 ◽  
Vol 9 (10) ◽  
pp. 2570-2578
Author(s):  
Suresh Sarkar ◽  
S.P. Mishra ◽  
Dileep Tripathi ◽  
Bharat Patidar ◽  
Monika Soni ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Cajanus Cajan ◽  
Pigeon Pea ◽  
Genetic Advance

scholarly journals Inter-Relationship between Seed Yield and Some Morphological and Biochemical Traits in Lentil (Lens culinaris L.)

2021 ◽  
Vol 9 (4) ◽  
pp. 146-151
Author(s):  
G. S. Mandal ◽  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Indirect Effect ◽  
Seed Weight ◽  
Seed Protein ◽  
Genetic Advance ◽  
Seed Protein Content ◽  
Leaf Chlorophyll ◽  
100 Seed Weight ◽  
Pod Number

Correlation Study with Path analysis was performed on 29 Lentil Genotypes to determine direct and indirect effect of some morphological as well as Biochemical parameters on Yield. Following traits were studied: Root Nodule number, Nodule weight, Primary Root Length, Secondary root numbers, Root Fresh and Dry weight, Plant Height, Pods per plant, Days to 50% Flowering, 100 seed weight, Leaf chlorophyll content, Seed Carbohydrate with Starch content, Seed Protein content and Yield. Considering both genetic Advance and GCV, it was observed that selection for the following characters viz. Plant Height, Pods per plant, Days to 50% flowering, 100 seed weight, Seed Protein content & Yield will be rewarding. Seed Yield per plant showed significantly Positive correlation with the following traits: 100 Seed weight, Pod number per plant, Plant height and seed starch. Negative association with yield was found for Days to 50% flowering. Path coefficient study revealed that there was a strong positive direct effect of 100 seed weight and Pod no. per plant along with Leaf Chlorophyll content on Yield. Hence, direct selection only for Pods number and 100 seed weight will be rewarding as these characters also gave higher heritability % along with high Genetic advance. Plant height gave strong negative direct effect on yield, but it gave a positive correlation due to high indirect effect in association with pod number. It may be due to short winter span of West Bengal which results into forced maturity of the crops. So short plants with higher pod numbers will be desirable for higher yield in short winter span condition.

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>

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