Evaluation of Elite Sorghum Accessions for Multiple Disease Resistance
Several plant diseases reduce grain and fodder yields of sorghum (Sorg/jum bicolor) and its stover quality (Bandyopadhyay et al. 2001). Participatory rural appraisal studies In India by Rama Devi et al. (2000) Indicated that sale of crop residues to perl-urban milk producers accounted for approximately 50% of the income from sorghum cropping In rural areas of the Deccan Plateau of Andhra Pradesh, Karnataka and Maharashtra, and diseased residues command much lower price In the fodder market. Adverse effects of foliar and panicle diseases on quality and quantity of sorghum grain, fodder and residues have recently been reported (Bandyopadhyay et al. 2000, 2001). Most sorghum diseases can be effectively managed through host-plant resistance. The objective of this study was to Identify resistance to multiple diseases in the selected agronomic elite landrace accessions and breeding lines of sorghum. In this article we report both agronomic features and multiple disease resistance of some of the accessions for their possible use in resistance breeding program.
Compendium of Sorghum Diseases
Compendium of sorghum diseases , Compendium of sorghum diseases , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
Comparison of in vitro gas production and nylon bag degradability of roughages in predicting feed intake in cattle
Abstract The Hohenheimer gas production test has been adapted to describe the kinetics of fermentation based on the exponential model p = a + b (1 − e − ct ). Ten cereal straws previously fed ad libitum to growing steers and consisting of two varieties of winter barley, two varieties of spring barley and one variety of winter wheat either untreated or treated with anhydrous ammonia, were examined. In vitro gas production was compared with in vivo results and with nylon bag degradabilities; the sources of the gas were determined. Total gas production a + b as described by the exponential equation were correlated with intake (0.88), digestible dry matter intake (0.93) and growth rate (0.95) in a multiple regression model. Use of the rate of gas production, c , did not improve the precision of correlation. The gas volume could be explained by the amount of volatile acids produced and their proportions. About 50% of the gas volume consisted of CO 2 and CH 4 arising from fermentation, the remainder being CO 2 released from the buffer solution.