Estimation of correlation coefficient study of some quantitative traits in wheat

Abstract

Wheat is the world's most important crop that excels all other cereal crops both in area and production, thereby providing about 20.0 per cent of total food calories for the people of the world. The experiment was conducted at Research Farm, IGKV, Raipur during Rabi 2013-14. Chhattisgarh is located in the east -central part of the country between 17°14'N and 24°45' N latitudes and 73°30' E and 84°15' E longitudes, whereas Raipur the capital of the Chhattisgarh state, lies at 21°16' N latitude and 81°36' E longitude with an altitude of 289.60 meters above sea level. All Twenty two genotypes were grown in Randomized Block Design with three replications. Correlation studies give a clear picture of characters association which is generally due to linkage, pleiotrophy, physiological association in developmental and biochemical pathway The phenotypic and genotypic correlations were determined among seed yield and its components in possible character combinations. In Correlation coefficient analysis, seed yield per plant exhibited highly significant positive correlations with number of seeds per spike and number of seeds per plant at both genotypic and phenotypic levels, whereas number of seeds per spikelet at the genotypic level.

Performance evaluation of advanced durum wheat genotypes under irrigated condition at Bhairahawa, Nepal

“…These correlations indicate that genotypes with more grains per spike and taller plant stature tended to produce higher grain yields in the evaluated durum wheat genotypes. The positive association between grain yield and plant height is consistent with some previous reports (Mohammadi & Golkari, 2022;Laala et al, 2021), although contrasting results have also been documented (Schulthess et al, 2017;Shyam et al, 2018), suggesting that the relationship may be influenced by environmental factors and genetic backgrounds. While grain yield exhibited non-significant positive correlations with traits such as the number of spikes per square meter (0.21), thousand kernel weight (0.19), and spike length (0.26), it showed a non-significant negative correlation with days to booting (-0.19).…”

Correlation and path coefficient analyses of phenological traits, yield components and quality traits in wheat

“…Group: PD x SD Group: PD x G Group: SD x G effect on grain yield. Mecha et al (2017) and Chitralekha et al (2018) reported a strong positive correlation of total biomass and harvest index on grain yield. Other researchers indicated a positive correlation between grain yield and other traits such as harvest index, days to maturity (Rathod et al, 2019;Dabi et al, 2016), and 1000 grain yield (Singh et al, 2012).…”