AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering.
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
It is expected that environmental changes influence the growth and development of crop, and with this hypothesis, a field experiment was laid to investigate the impact of different dates of transplanting on various genotypes of basmati rice. Three genotypes of basmati rice i.e. CSR 30, Pusa Basmati (PB) 1121 and Haryana Basmati (HB) 2 were sown with three transplanting dates (June 25, July 10 and July 25) in the kharif season of 2015 and 2016 using. The experiment was designed in a split-plot layout with four replications, where dates of transplanting were allocated to the main plots and the genotypes to the subplots. The ANOVA table showed that the main effects of the dates of transplanting and the genotype are significant for nearly all the assessed characters. Significant interaction between the date of transplantation and the genotype were observed for number of effective tillers (NET), harvest index (HI) and straw yield (SY). The grain yield (GY) on first date of transplanting (25th June) showed significant incrememt by ~2.5 and ~17% relative to the second (10th July) and third date of transplanting (25th July), respectively. The findings of this study revealed that early transplanting enhanced positive effects on assessed characters of basmati rice. Further, correlation study has exhibited the positive and significant correlation (p≤0.05) of GY with NET, number of grains per panicle (NGPP), panicle length (PL), 1000-grain weight (GW) and HI.
The present investigation deals with the use of Coefficient of Variation (CV), Cuddy-Della Valle index (CDVI), Coppock’s instability index (CII), to determine the instability in the wheat production in major producing states in India. Time series data for the period (1960–1961 to 2018–2019) on area, production, yield and MSP of wheat have been used in this study. Time series data was divided into six decades of 10-year interval to measure the instability in area, production and yield of selected crops into different periods. Annual growth rate of area, production and productivity of wheat crop in India and major wheat growing states were also observed by fitting to the time-series data in linear function.