Complexometric Titration of Thallium(III) using Hydrazine Sulphate as Demasking Agent

82-8

Genetic analysis of yield, protein, oil and other related traits in soybean

Combining ability analysis was carried out for yield, protein and oil content and other traits related to productivity in a half diallel set involving seven parents. The estimates of sca variances were higher than gca variances for all the seven characters. Values of the ratio indicated that for traits like protein content, grain yield and days to maturity, non-additive gene effects were predominant. The mean values of parents reflected their combining ability effects in general and genotypes KHSb-2 and DS 74–62 were good general combiners for yield and yield contributing characters. The high performing crosses for yield involved parents with High x Low and Low x Low gca effects. Based on the results, suitable breeding strategies are suggested

Studies on Harvest Index in Soybean

According to Vogel et 01. (1963) the r.i.ght approach to increase the seed yield is the improvement in total biological yield and/or harvest index. Further, harvest index is a highly conservative and stable character (Spaeth et 01; 1984, Mercellos, 1987) and accounts for 95% variation in seed yield alongwith growth rate (Takeda et 01., 1979). These factors empha"ize the importance of harvest index in identifying the most efficient genotypes with superior biological and seed yielding abilities (Sharma et af., 1987). But the study of genetic architecture of harvest index is essential before embarking upon selection based 011 it. In the present study heterosis, combining abil ity and gene effects for harvest index were investigated..........

A likelihood ratio test for a shift in the lifelength distribution

Communications in Statistics - Theory and Methods2781937-1945CSTM

Complexes of Cu(I), Ag(I), TI(I), Zn(II) & Cd(II) with 3-Methyl & 3-Ethyl Derivatives of 4-Amino-5-mercapto-1,2,4-triazole

703-70

Progressively censored reliability sampling plans for the Weibull distribution

Technometrics422160-167TCMT