Estimates Indirect Selection Parameters Through Correlation and Path Analysis in Linseed (Linum usitatissimum L.)
Ankit
Department of Genetics and Plant Breeding, SVPUA&T, Meerut, Uttar Pradesh, India.
Shivendra Pratap Singh
Department of Plant Breeding, Krishi Vigyan Kendra, Belipar, Gorakhpur, Uttar Pradesh, India.
Sonali Ambadas Aware
Department of Genetics and Plant Breeding, V.N.M.K.V., Parbhani, India.
Ankaj Tiwari
Department of Genetics and Plant Breeding, A. N. D. U. A. & T., Kumarganj, Ayodhya, Uttar Pradesh, India.
Seetal B. Sindha
Department of Biotechnology, Sardar Patel Institute of Applied Science, Sardar Patel University, Gujarat, India.
Sushma Raj Chellem
Department of Genetics and Plant Breeding, Koneru Lakshmaish (Deemed to University), Andhra Pradesh, India.
Ramnivas
Maharaja Surajmal Agriculture College Rahinpur, Uchchain Bharatpur, Rajasthan, India.
Dharm Veer Singh
Department of Genetics and Plant Breeding, B.U.A. & T., Banda, Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
An important rabi oilseed crop, linseed (Linum usitatissimum L.) has diploid chromosomal number 2n=30. According to Tadesse et al. (2009), L. usitatissimum is a single species in the Linaceae family of commercial value. According to correlation coefficient analyses, there is a strong intrinsic inherent between the different qualities because the genotypic correlation values were larger than the equivalent phenotypic correlation values. The biological yield per plant, 1000 seed weight, and seed yield per plant all shown a highly significant and favorable correlation. It suggested that grain yield might be enhanced under selection by enhancing these features. The results of the genotypic path coefficient analysis of seed yield and its contributing characters showed that harvest index, days to 50% flowering, number of secondary branches per plant, and number of primary branches per plant were the next most important factors that positively influenced grain yield per plant. These findings suggested that selection based on these traits could increase yield. The biological yield per plant, harvest index, number of primary branches per plant, days to maturity, and days to 50% flowering were found to have the greatest positive direct effects on seed yield per plant based on phenotypic path coefficient analysis of grain yield and its contributing features.
Keywords: Genotypic correlation, phenotypic correlation, path coefficient direct, path coefficient indirect