Path Coefficient Analysis and Character Association of Yield and Yield Contributing Traits of Rice Landraces

Ravi Gautam

Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, Madhya Pradesh, India.

Yogendra Singh *

Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, Madhya Pradesh, India.

Sanjay Kumar Singh

Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, Madhya Pradesh, India.

Stuti Sharma

Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, Madhya Pradesh, India.

Shweta Tiwari

Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, Madhya Pradesh, India.

D. R. Pani

ICAR - NBPGR, Regional Station, Cuttack, Odisha, India.

*Author to whom correspondence should be addressed.


Abstract

An experiment was carried out during Kharif 2020 to estimate the direct and indirect effects of various independent characteristics on the dependent character and to assess the degree of relationship between yield and yield contributing traits of rice landraces. The experimental material consists of 188 landraces including two checks IR-64 and Jeerashankar and these genotypes were planted in Randomized Block Design with three replications. Based on correlation and path analysis studies, significant positive correlation and high direct positive effect on grain yield per plant were found for traits flag leaf length, number of tillers, number of effective tillers, panicle weight, harvesting index, panicle index, fertile spikelet per panicle and biological yield per plant. Itdepicted that during the formulation of criterion in the rice improvement program as well as for plant ideotype, these traits would be of significant relevance.

Keywords: Rice, landraces correlation, path coefficient analysis and ideotype


How to Cite

Gautam, Ravi, Yogendra Singh, Sanjay Kumar Singh, Stuti Sharma, Shweta Tiwari, and D. R. Pani. 2024. “Path Coefficient Analysis and Character Association of Yield and Yield Contributing Traits of Rice Landraces”. Journal of Advances in Biology & Biotechnology 27 (8):223-30. https://doi.org/10.9734/jabb/2024/v27i81134.