GT BIPLOT ANALYSIS FOR YIELD TRAITS AND MOLECULAR PROFILING OF SELECTED LINES IN BLACKGRAM [Vigna mungo (L.) Hepper]
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Date
2024-04-24
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Acharya N G Ranga Agricultural University
Abstract
The present investigation was carried out at dryland farm of
Sri Venkateswara Agricultural College, Tirupati during Rabi, 2021-22 to study
genetic parameters, genetic diversity, genotype by trait biplot analysis for twelve
traits and to develop molecular profiles of 35 blackgram genotypes. Moderate
estimates of GCV and higher estimates of PCV were observed for the traits plant
height, number of pods per plant, number of clusters per plant and harvest index.
High heritability coupled with high genetic advance as per cent of mean was
recorded for number of primary branches per plant. Genetic divergence analysis
using Mahalanobis D2
statistics grouped 35 genotypes into eight clusters. Among
the clusters, cluster III had the maximum intra cluster distance followed by
cluster I and cluster V. The maximum inter cluster distance was recorded
between cluster IV and V followed by cluster V and VIII, cluster I and V, cluster
V and VII and cluster VII and VIII. Hence, the crosses viz., LBG 645 × P 112,
LBG 645 × IP4-10-4, LBG 645 × PU 31, LBG 645 × P 1032 and P 1032 ×
IPU-10-4 could be suggested for the exploitation of transgressive segregants for
yield.
Based on genotype by trait biplot analysis, the seed yield was positively
correlated with number of pods per plant, number of clusters per plant, number
of primary branches per plant, number of seeds per pod, plant height, days to
maturity, pod length, number of pods per cluster and harvest index. The trait
number of primary branches per plant was considered as best, similarly, the
genotype LGG 645 was identified as ideal cultivar.
Molecular profiling disclosed, out of 16 SSR markers, ten were
polymorphic and generated unique DNA profiles for 35 blackgram genotypes
studied. Based on the level of polymorphism detected by individual marker, four
SSR markers (CEDG 20, CEDG 44, CEDG 243 and BM 170) were most
informative and this set of markers had the enormous potential to identify most
of the blackgram genotypes studied