Skip to content
Research Article Open access CC BY 4.0

Influence of Weather Parameters of Growth and Yield Attribute of Different Sowing Date on Different Varieties of Pea Plant

Nongthombam Debiya

International Journal of Environment and Climate Change · pp. 876–882 · Published 23 Dec 2022

10.9734/ijecc/2022/v12i121527

Abstract

A field experiments was conducted during winter seasons of 2021-22 at Agricultural Research Farm of Sam Higginbottom University of Agriculture Technology and Science, Prayagraj (U.P) “Influence of weather parameters of growth and yield attribute of different sowing date on different varieties of pea plant” Keeping in this view experiment was conducted in Factorial RBD with three replications having two factors with 27 plots. First factor comprised of three dates of sowing (3RD Nov. 13TH Nov and 23RD Nov.) whereas second factor consist of three Field pea varieties SS-10, GS-10, RONALDO-10.Crop sown on 13th November was recorded significantly higher yield as compared to 3rd November and 23rd November. For plant growth parameters of Pea maximum was recorded in 13th November as compared to 3rd November and 23rd November and in case of variety maximum plant height, no of leaves, no of branches grain yield test weight  recorded  with Ronaldo-10 as compared to GS-10 and SS-10., Vegetative growth, flowering, Pod formation and Maturity and stress degree day index was computed. With Ronaldo-10 variety proved the most remunerative and economically feasible for cultivation of Field Pea under the agro climatic conditions of Prayagraj U. P. Growing Degree Days (GDD) or effective heat units or growing degree units are heuristic tool in phenology. It is a simple means of relating plant growth, development and maturity to air temperature.

Field pea (Pisum sativum) plant height number of leaves number of branches heat unit number of pods growing degree day heat unit index photo thermal unit agro meteorological indices

Cited by 2

Crop Prediction Rate by Continuous Monitoring of Plant Growth and Crop Yield Parameters Using LRNN Algorithm

Bhavani V., Pradeepini G., Sri Kavya K Ch. · Journal of Innovative Image Processing · 2025

Comparative Evaluation of Evapotranspiration Models for Irrigation Scheduling in Garden Pea

Avnee, Ranbir Singh Rana, Sandeep Manuja · Agricultural Research · 2025

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.