A Statistical Review on the Timing of Sowing Seed Cotton

Clicks: 3
ID: 316153
2024
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #21 of 182 articles by views in Journal of Statistics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 182 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
One of the ten countries in the world most quickly affected by climate change is Pakistan. Temperature variability, irregular monsoon rain patterns, and other climatic constraints are becoming major threats to agricultural productivity, particularly cotton. This review study aims to highlight the importance of seed cotton sowing time and yield improvement. Four databases (Google Scholar, Springer, Elsevier, and MDPI) were used for this review up to 2020 for the identification of relevant original published and peer-reviewed studies about the impact of seed cotton sowing time on yield with the keywords "seed cotton sowing time" and "optimum seed cotton sowing time" in combination with yield. The final analysis includes data from five surveys. The sowing time of seed cotton varies in different ecological zones of Pakistan and has been found to be an important factor in increasing the yield. Furthermore, the study also highlights that sowing time and cultivars of seed cotton should be prioritized for better yield.
Reference Key
imported_1780933804_6a26e4ac4876a Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhammad Imran, Christophe Chesneau, Saddam Hussain, Mohammad Elgarhy
Journal Journal of Statistics
Year 2024
DOI
DOI not found
URL
https://jstat.gcu.edu.pk/index.php/jstat/article/view/8
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.