Pollen Output and Influence of Weather Parameters on Secretion of Nectar in the Flowers of Wild and Cultivated Varieties of Jamun (Syzygium cumini L. Skeels)

Studies on flowering behaviour, pollen production, nectar secretion of wild and cultivated varieties of Jamun with special focus to influence of weather parameters on secretion of nectar revealed that the initiation of inflorescence from inter nodal region was observed during January, 2018. A total of 40 ± 0.82 to 46 ± 0.82 days were required from initiation of inflorescence to first flower opening. 50 and 100 per cent flowering was observed during 3rd and 4th weeks of March with a total of four weeks flowering duration. The pollen output per flower was highest in wild S. cumini and lowest in N-20. The mean quantity of nectar produced was highest in K-45 and TSS content was highest in GKVK-2. The quantity of nectar produced had a highly significant negative correlation, a highly significant positive correlation at one per cent level and a non-significant negative correlation with hourly temperature, relative humidity and wind speed, respectively. The per cent total soluble solids present in the nectar at hourly intervals showed a highly significant positive correlation and a highly significant negative correlation with hourly temperature and relative humidity at one per cent level, respectively.

Authors

Institutions

Publication Details

Journal
Journal of Advances in Biology & Biotechnology
Published
2025-01-16
DOI
https://doi.org/10.9734/jabb/2025/v28i11896
Citations
1
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
3.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pollen Output and Influence of Weather Parameters on Secretion of Nectar in the Flowers of Wild and Cultivated Varieties of Jamun (Syzygium cumini L. Skeels)

G. Eswarappa, R. Somashekar, B Gagan, K. S. Jagadish
1 citations
Journal of Advances in Biology & Biotechnology
Plant and animal studies
3.03
article

Pollen Output and Influence of Weather Parameters on Secretion of Nectar in the Flowers of Wild and Cultivated Varieties of Jamun (Syzygium cumini L. Skeels)

G. Eswarappa, R. Somashekar, B Gagan, K. S. Jagadish
article en
1 citations

Abstract

Studies on flowering behaviour, pollen production, nectar secretion of wild and cultivated varieties of Jamun with special focus to influence of weather parameters on secretion of nectar revealed that the initiation of inflorescence from inter nodal region was observed during January, 2018. A total of 40 ± 0.82 to 46 ± 0.82 days were required from initiation of inflorescence to first flower opening. 50 and 100 per cent flowering was observed during 3rd and 4th weeks of March with a total of four weeks flowering duration. The pollen output per flower was highest in wild S. cumini and lowest in N-20. The mean quantity of nectar produced was highest in K-45 and TSS content was highest in GKVK-2. The quantity of nectar produced had a highly significant negative correlation, a highly significant positive correlation at one per cent level and a non-significant negative correlation with hourly temperature, relative humidity and wind speed, respectively. The per cent total soluble solids present in the nectar at hourly intervals showed a highly significant positive correlation and a highly significant negative correlation with hourly temperature and relative humidity at one per cent level, respectively.

Journal of Advances in Biology & BiotechnologyVol. 28(1)
University of Agricultural Sciences, Bangalore (IN), Bangalore University (IN)
Openalex Percentile: Top 13%
Plant and animal studies
3.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.