Assessment of Weed Management Practices in Linseed (Linum usitatissimum L.)

A field experiment was carried out during rabi 2024 on loamy sand soil of Agronomy Instructional Farm, C. P. College of Agriculture, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar to find out the most effective weed management practices in linseed. The experiment was laid out in RBD with four replications having eight different weed management practices. The result revealed that weed free treatment recorded significantly higher seed and stover yield (1588 and 2408 kg/ha, respectively) and found at par with pendimethalin @ 750 g/ha as PE fb one interculturing at 30 DAS and one HW at 45 DAS (1407 and 2272 kg/ha, respectively), two HW at 30 and 45 DAS (1382 and 2235 kg/ha, respectively), pendimethalin @ 750 g/ha as PE fb clodinafop + metsulfuron methyl @ 64 g/ha as PoE (1379 and 2160 kg/ha, respectively), pendimethalin @ 750 g/ha as PE fb metsulfuron methyl @ 4 g/ha as PoE (1312 and 2042 kg/ha, respectively) as compared to weedy check (902 and 1566 kg/ha, respectively) due to suppression of weeds at 60 DAS and at harvest with higher weed control efficiency and lower weed index values. Moreover, pendimethalin @ 750 g/ha as PE fb clodinafop + metsulfuron methyl @ 64 g/ha as PoE recorded higher net returns (₹43797/ha) and B:C ratio (2.06) as compared to weedy check.

Authors

Institutions

Publication Details

Journal
Journal of Advances in Biology & Biotechnology
Published
2025-03-05
DOI
https://doi.org/10.9734/jabb/2025/v28i32064
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Weed Management Practices in Linseed (Linum usitatissimum L.)

Ketan M. Patel, D. D. Dharaviya, T. B. Zala, J. V. Karnavat
Journal of Advances in Biology & Biotechnology
Rice Cultivation and Yield Improvement
article

Assessment of Weed Management Practices in Linseed (Linum usitatissimum L.)

Ketan M. Patel, D. D. Dharaviya, T. B. Zala, J. V. Karnavat
article en

Abstract

A field experiment was carried out during rabi 2024 on loamy sand soil of Agronomy Instructional Farm, C. P. College of Agriculture, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar to find out the most effective weed management practices in linseed. The experiment was laid out in RBD with four replications having eight different weed management practices. The result revealed that weed free treatment recorded significantly higher seed and stover yield (1588 and 2408 kg/ha, respectively) and found at par with pendimethalin @ 750 g/ha as PE fb one interculturing at 30 DAS and one HW at 45 DAS (1407 and 2272 kg/ha, respectively), two HW at 30 and 45 DAS (1382 and 2235 kg/ha, respectively), pendimethalin @ 750 g/ha as PE fb clodinafop + metsulfuron methyl @ 64 g/ha as PoE (1379 and 2160 kg/ha, respectively), pendimethalin @ 750 g/ha as PE fb metsulfuron methyl @ 4 g/ha as PoE (1312 and 2042 kg/ha, respectively) as compared to weedy check (902 and 1566 kg/ha, respectively) due to suppression of weeds at 60 DAS and at harvest with higher weed control efficiency and lower weed index values. Moreover, pendimethalin @ 750 g/ha as PE fb clodinafop + metsulfuron methyl @ 64 g/ha as PoE recorded higher net returns (₹43797/ha) and B:C ratio (2.06) as compared to weedy check.

Journal of Advances in Biology & BiotechnologyVol. 28(3)
Sardarkrushinagar Dantiwada Agricultural University (IN)
Zero hunger
Openalex Percentile: Top 97%
Rice Cultivation and Yield Improvement
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.