Performance of agronomic characteristics and path analysis of the highland new plant types of rice

Abstract

This study aims to examine the good production characteristics and path analyses as well as the character correlation of the highland F4 new plant type of lines. The research was conducted in four paddy fields, namely Bittuang, Rantebua, Sesean, and Tallunglipu sub-districts at altitudes of 650, 850, 1400 and 1600 meters above sea level in North Toraja and Tana Toraja Regencies. This research took place from June to December 2021 and was arranged in randomized block design. The genotypes tested were 30 F4 lines and six control varieties which were repeated 3 times at each location. The results showed that lines with an average productivity of above 4 tons ha−1 at four locations namely G13 (5.17 tons ha−1), G7 (4.91 tons ha−1), G26 (4.80 tons ha−1), G15 (4.65 tons ha−1), G10 (4.55 tons ha−1), G14 (4.47 tons ha−1), and G25 (4.22 tons ha−1). The characters with the highest correlation with production were the weight of filled grain per clump, number of productive tillers, and the weight of grain per panicle, while the characters that had the highest positive direct effect were number of productive tillers, weight of filled grain per panicle and percentage of filled grain per panicle.

Path coefficient analysis using traditional and improved rice genotypes for trait effect on grain yield  

“…In addition, Roy et al (2015) reported the positive impact of effective tiller number per plant on the final yield. Similar findings have been obtained in many studies in rice (Oladosu et al, 2018;Limbongan et al, 2023;Reddy et al, 2023).…”

“…The selection of traits for crop improvement is a complex decision-making process. The promising results of path analysis, as evidenced by previous studies on rice, emphasise its efficacy in guiding selection strategies (Shahidullah et al, 2009;Oladosu et al, 2018;Al-Musawi et al, 2019;Laxmi et al, 2023;Limbongan et al, 2023;Reddy et al, 2023). By presenting the direct and indirect effects of various traits, path analysis elucidates the hierarchical order of trait contributions, and it aids in identifying positive indicators for yield increment and potential negative yield indicators.…”