Investigation of Correlation and Regression Analysis and Crop Weather Relationships in Three different varieties of Chickpea under Coastal Agro-Ecosystem of Andhra Pradesh

Author: A. Suryakala, V. Radha Krishna Murthy and M. Sree Rekha

Download PDF

Abstract

Understanding the relationships between chickpea (Cicer arietinum L.) yield, yield components and weather health indices is critical to identify the desirable varieties suitable to various climatic conditions. This research was done in order to investigate the relationships between grain yield, yield attributes and weather health indices by using correlation and regression analysis. A 5 × 3 factorial experiment in randomized complete block design (RCBD) format with three replications was conducted in the research field of the Acharya NG Ranga Agricultural University, Agricultural college, Bapatla during rabi season of 2018 to 2019. Treatments allocated were five sowing dates (2nd fortnight of October, 1st and 2nd fortnight of November, 1st fortnight of December) and three chickpea varieties (NBeG-47, NBeG-49, NBeG-119). The results revealed that grain yield and yield components of chickpea are significantly affected by both sowing date and cultivar. The correlation co-efficient analysis indicated that the seed yield of chickpea varieties was significantly influenced by the harvest index, drymatter, seed index, number of branches per plant, number of pods per plant, number of seeds per pod and days to maturity except for plant height and haulm yield. Regression equations indicated significant linear relationship for both total drymatter and seed yield of all the three varieties with climatic normals/weather health indices viz., GDD, HTU, PTU, PTI, TPR, HUE, HtUE and PtUE. Statistical models for yield prediction were developed for all the three varieties of chickpea by using Step down regression analysis. Significant linear relationship was noticed for all the three varieties of chickpea and found that rainfall during reproductive stage, maximum and minimum temperature during vegetative and reproductive stage and relative humidity at evening for both reproductive and maturity stages were found to have significantly linear relationship with the yield for all the three varieties of chickpea.

Keywords

Chickpea, Correlation, Regression, Weather health indices

Conclusion

The statistical models for weather resilient yield prediction of the chickpea varieties tested through regression equations were found to have significant linear relation with yield. Linear regression equations were developed between total drymatter and seed yield as dependent variables and weather health indices viz., GDD, PTU, PTI, HTU, HUE, HtUE, PtUE and TPR as independent variables, for all five different dates of sowing and three varieties. Significant linear relationship was observed for both total drymatter and seed yield for all the three varieties of chickpea with weather health indices. The highest values of co-efficient of determination (R2) for all the three varieties indicated that the production of drymatter and seed yield depended heavily on all these weather health indices. This indicates that these regression equations can be applied to predict chickpea growth and yield by using daily recorded data of temperature, relative humidity, photoperiod, day length and sunshine hours during the crop season. The seed yield of chickpea varieties can be predicted with weather parameters with high degree of captured variances. In this study, the seed yield of NBeG-47 (V1) depended on maximum temperature at vegetative stage (MAT1), minimum temperature at reproductive stage (MIT2) and relative humidity during evening in the reproductive phase (RH22) and maturity phase (RH23). The seed yield of NBeG-49 (V2) variety depended on maximum temperature at vegetative stage (MAT1), relative humidity during evening in the reproductive phase (RH22) and maturity phase (RH23) and rainfall during maturity phase (RF3). For NBeG-119 (V3), seed yield was depended on maximum temperature at reproductive phase (MAT2), relative humidity during evening in the maturity phase (RH23), rainfall during reproductive (RF2) and maturity phase (RF3). The results clearly indicated that minimum temperature, maximum temperature, relative humidity and rainfall determined the seed yield of chickpea in coastal agro-ecosystem of Andhra Pradesh.

References

-

How to cite this article

A. Suryakala, V. Radha Krishna Murthy and M. Sree Rekha (2022). Investigation of Correlation and Regression Analysis and Crop Weather Relationships in Three different varieties of Chickpea under Coastal Agro-Ecosystem of Andhra Pradesh. Biological Forum – An International Journal, 14(4): 101-107.