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

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 A study of heritability and genetic advance in pigeon pea. (Cajanus cajan (L.) Mill spp.)

2021 ◽  
Vol 9 (1) ◽  
pp. 591-594
Author(s):  
Kanak Bhati ◽  
DA Chauhan ◽  
Aditi D Patel ◽  
Kajal C Rathod
Keyword(s):  
Cajanus Cajan ◽  
Pigeon Pea ◽  
Genetic Advance

scholarly journals Using AFLP-RGA markers to assess genetic diversity among pigeon pea (Cajanus cajan) genotypes in relation to major diseases

2014 ◽  
Vol 28 (2) ◽  
pp. 198-205 ◽  
Author(s):  
Prakash G Pati ◽  
Subhojit Datta ◽  
Ikechukwu O Agbagwa ◽  
Indra Prakash Singh ◽  
Khela Ram Soren ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cajanus Cajan ◽  
Pigeon Pea

Performance of pigeon pea (Cajanus Cajan l.) based intercropping system with millets under Northern Dry Zone of Karnataka

2020 ◽  
Vol 9 (1) ◽  
pp. 277-281
Author(s):  
S A Biradar ◽  
Vivek S Devarnavadagi ◽  
Shivalingappa Hotkar ◽  
B C Kolhar ◽  
S C Rathod
Keyword(s):  
Cajanus Cajan ◽  
Pigeon Pea ◽  
Dry Zone

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. 

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