AFLP analysis in pigeonpea (Cajanus cajan (L.) Millsp.) revealed close relationship of cultivated genotypes with some of its wild relatives

Ganapathy, K. N.; Gnanesh, Belaghihalli N.; Gowda, M. Byre; Venkatesha, S. C.; Gomashe, S. S.; Channamallikarjuna, V.

doi:10.1007/s10722-010-9621-1

Cited by 21 publications

(13 citation statements)

References 18 publications

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“…Production has been prejudiced by biotic stresses like wilt and sterility mosaic disease. Sterility mosaic disease (SMD) is one among the most destructive disease of pigeonpea (Kannaiyan et al, 1984) causing yield losses up to 95 per cent (Reddy and Nene, 1981;Ganapathy et al, 2011). Fusarium wilt is an important soil borne disease of pigeonpea, which causes significant yield losses in susceptible cultivars throughout the pigeonpea growing areas.…”

Section: Introductionmentioning

confidence: 99%

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

Pushpavalli

Sudhakar

Rani

et al. 2015

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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 D 2 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.

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Section: Introductionmentioning

confidence: 99%

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

Pushpavalli

Sudhakar

Rani

et al. 2015

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“…Studies of genetic diversity using molecular markers are necessary to understand the genetic structure of a population and to orientate effective strategies of germplasm conservation (Ganapathy et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Genetic Diversity and Fatty acid Composition of Perilla (Perilla frutescens var. frutescens) Germplasm

Song¹,

Lee²,

Oh³

et al. 2012

Korean Journal of Plant Resources

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-The objective of this study was to analyze the genetic diversity using SSR marker and investigate the fatty acid composition of perilla (P. frutescens var. frutescens) germplasm. Genetic diversity among 95 accessions, which consisted of 29 weedy types and 66 landrace accessions, was evaluated based on 12 SSR markers carrying 91 alleles. The mean values of observed (HO) and expected heterozygosities (HE) were 0.574 and 0.640, respectively, indicating a considerable amount of polymorphism within this collection. A genetic distance-based phylogeny grouped into two distinct groups, which were the landrace, moderate and weedy type, genetic distance (GD) value was 0.609. The physicochemical traits about crude oil contents and fatty acid compositions were analyzed using GC. Among tested germplasm, the total average oil contents (%) showed a range from 28.57 to 49.67 %. Five fatty acids and their contents in the crude oils are as follows: α-linolenic acid (41.12%-51.81%), linoleic acid (15.38%-16.43%), oleic acid (18.93%-27.28%), stearic acid (2.56%-4.01%), and palmitic acid (7.38%-10.77%). The average oil content of wild types was lower than landrace, and the oil content of middle genotype accessions was higher than other germplasm, but no significant variation between landrace and wild types was shown. Nevertheless, IT117174, landrace of Korea, was highest in crude oil content (47.11%) and linolenic acid composition (64.58%) among the used germplasm. These traits of the selected accessions will be helped for new functional plant breeding in perilla crop.

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“…PSMD is the most destructive disease of pigeonpea (Kannaiyan et al, 1984) causing yield losses up to 95 percent (Ganapathy et al, 2011; Reddy and Nene, 1981). The early stage (<45-days old plants) of infection results into 95 to 100 percent yield losses as reported by Reddy et al (1990); Kulkarni et al (2003).…”

Section: Resistance Screening Techniques For Psmdmentioning

confidence: 99%

Inheritance of Pigeonpea Sterility Mosaic Disease Resistance in Pigeonpea

Daspute

Fakrudin

Bhairappanavar

et al. 2014

The Plant Pathology Journal

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AFLP analysis in pigeonpea (Cajanus cajan (L.) Millsp.) revealed close relationship of cultivated genotypes with some of its wild relatives

Cited by 21 publications

References 18 publications

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

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

Assessment of Genetic Diversity and Fatty acid Composition of Perilla (Perilla frutescens var. frutescens) Germplasm

Inheritance of Pigeonpea Sterility Mosaic Disease Resistance in Pigeonpea

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