Ameliorating cotton yield response index to nitrogen via variety selection and intercropping as ecofriendly tactics

ATIONALIZING nitrogen (N) use via lowering its application rate is a crucial tactic for reducing the environmental issues. However, low N supply could limit sustainable production of cotton. This research tested the response of cotton varieties (Giza 95, Giza 96 and Giza 97), grown solely or accompanied with cowpea (©) plant, to different N levels (0, 30, 45 and 60 kg N fed-1). All tested traits substantially responded to variety, and N level and their interaction. Giza 96 was the excelsior variety for producing the highest seed and lint yields surpassing Giza 95 by 14.11 and 9.66%, and Giza 97 by 1.98 and 1.85%, respectively. As expected, cotton plants experienced declined growth due to lowering N rate. While, raising N rates up to 45 kg fed-1, where fertilizing with 45 kg N fed-1+© treatment resulted in significant improvements in cotton yields, reaching increases of 1.62 times in seed yield and 1.74 times in lint yield compared to no N application. It should be noted that under N rates lower than 45 kg N fed-1+© treatment, Giza 97 was the potent variety for out yielding the highest seed and lint yields. According to estimation of yield response index, there is no any variety of the tested cotton varieties was belonging to efficient and responsive to N application. Therefore, it could be concluded that application of N at a rate of 45 is sufficient to fulfill the N requirement of cotton plants intercropped with cowpea.

Authors

Institutions

Publication Details

Journal
Egyptian Journal of Agronomy
Published
2025-12-01
DOI
https://doi.org/10.21608/agro.2025.434597.1951
Citations
1
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
1.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ameliorating cotton yield response index to nitrogen via variety selection and intercropping as ecofriendly tactics

Hani Saber Saudy, W. M. B. Yehia, Rabab A.M. Khattab
1 citations
Egyptian Journal of Agronomy
Research in Cotton Cultivation
1.75
article

Ameliorating cotton yield response index to nitrogen via variety selection and intercropping as ecofriendly tactics

Hani Saber Saudy, W. M. B. Yehia, Rabab A.M. Khattab
article en
1 citations

Abstract

ATIONALIZING nitrogen (N) use via lowering its application rate is a crucial tactic for reducing the environmental issues. However, low N supply could limit sustainable production of cotton. This research tested the response of cotton varieties (Giza 95, Giza 96 and Giza 97), grown solely or accompanied with cowpea (©) plant, to different N levels (0, 30, 45 and 60 kg N fed-1). All tested traits substantially responded to variety, and N level and their interaction. Giza 96 was the excelsior variety for producing the highest seed and lint yields surpassing Giza 95 by 14.11 and 9.66%, and Giza 97 by 1.98 and 1.85%, respectively. As expected, cotton plants experienced declined growth due to lowering N rate. While, raising N rates up to 45 kg fed-1, where fertilizing with 45 kg N fed-1+© treatment resulted in significant improvements in cotton yields, reaching increases of 1.62 times in seed yield and 1.74 times in lint yield compared to no N application. It should be noted that under N rates lower than 45 kg N fed-1+© treatment, Giza 97 was the potent variety for out yielding the highest seed and lint yields. According to estimation of yield response index, there is no any variety of the tested cotton varieties was belonging to efficient and responsive to N application. Therefore, it could be concluded that application of N at a rate of 45 is sufficient to fulfill the N requirement of cotton plants intercropped with cowpea.

Egyptian Journal of AgronomyVol. 47(4)
Ain Shams University (EG), Cotton Research Institute (CN)
Openalex Percentile: Top 11%
Research in Cotton Cultivation
1.75
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.