Morphological characterization of <i>ber</i> germplasm

Singh, Om V.; Singh, Kartar; Gowthami, R.; Shekhawat, Neelam

doi:10.5958/0974-0112.2019.00034.3

Cited by 4 publications

(2 citation statements)

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“…The present study suggested that these traits had the largest participation in the divergence and carried the largest portion of its variability. Similar trend using PC analysis in pearl millet for the characters grain yield, stover yield, spike length and plant height has been reported elsewhere (Singh et al 2018;Choudhary et al 2015;Karunya et al 2021). Days to maturity, days to 50% flowering and 1000-grain weight were the characters contributing positively to the second principal component (PC2) accounting for 22.63 per cent of the variability explained.…”

Section: Resultssupporting

confidence: 85%

Principal component analysis for yield and its attributing characters of pearl millet (Pennisetum glaucum [L.] R.Br.)

GUPTA¹

2022

APSR

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An experiment was conducted at Agricultural Research Station, Navgaon (Alwar) during kharif season of 2019 to study the genetic divergence among 31 genotypes of pearl millet based on quantitative data of grain yield and its nine component traits using hierarchical cluster and principal component analysis (PCA). Principal Component Analysis (PCA) indicated that three components with eigen values more than one accounted for about 73.35% of the total variation among nine quantitative characters responsible for seed yield in pearl millet genotypes. The principal components PC1, PC2 and PC3 contributed about 37.44%, 22.63% and 13.28%, respectively to the total variation. The first principal component exhibited high positive loading for grain yield, stover yield, plant height, spike length, spike thickness and 1000-grain weight which contributed more to the diversity. The second principal component showed high loading for days to 50% flowering, days to maturity and 1000-grain weight. Cluster analysis grouped the genotypes into five clusters indicated that grain yield, stover yield, 1000-grain weight and days to maturity contributed maximum towards genetic divergence. The grouping patterns of genotypes in principal component analysis and cluster analysis were almost in agreement with each other with minor deviations. The maximum inter cluster distance between genotypes of cluster V and III with cluster II, indicate that genotypes included in these clusters have high heterotic response and produce better seggregants of used in Pearl millet hybridization programme.

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Section: Resultssupporting

confidence: 85%

Principal component analysis for yield and its attributing characters of pearl millet (Pennisetum glaucum [L.] R.Br.)

GUPTA¹

2022

APSR

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“…High GCV were observed for number of primary branches per plant (40.68%), days to fifty percent flowering (22.4 %) followed by plan height (20.67 %) and number of pods per plan (19.02 %). Similar results were reported in pigeon pea by Sreelakshmi et al (2010), Singh et al (2018) reported in cowpea and Linge et al (2010) for plant height at maturity, days to fifty per cent flowering, seed yield per plant and number of pods per plant. It indicates that presence of very low environmental influences on these traits and mostly on genetic control so selection of these traits will be effective.…”

Section: Assessment Of Genetic Variability and Traits Association In supporting

confidence: 89%

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

Vanniarajan¹,

Magudeeswari²,

Gowthami³

et al. 2021

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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.

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Descriptors for characterization and evaluation of Indian jujube (Ziziphus mauritiana Lamk.) germplasm for utilization in crop improvement

Krishna¹,

Sarolia²,

Parashar³

et al. 2022

Fruits

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Morphological characterization of ber germplasm

Cited by 4 publications

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Principal component analysis for yield and its attributing characters of pearl millet (Pennisetum glaucum [L.] R.Br.)

Principal component analysis for yield and its attributing characters of pearl millet (Pennisetum glaucum [L.] R.Br.)

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

Descriptors for characterization and evaluation of Indian jujube (Ziziphus mauritiana Lamk.) germplasm for utilization in crop improvement

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