Sugarcane is a highly productive crop used for centuries as the main source of sugar and recently to produce ethanol, a renewable bio-fuel energy source. There is increased interest in this crop due to the impending need to decrease fossil fuel usage. Sugarcane has a highly polyploid genome. Expressed sequence tag (EST) sequencing has significantly contributed to gene discovery and expression s...

Replacing fossil fuel with biofuel is environmentally viable from a climate change perspective only if the net greenhouse gas (GHG) footprint of the system is reduced. The effects of replacing annual arable crops with perennial bioenergy feedstocks on net GHG production and soil carbon (C) stock are critical to the system-level balance. Here, we compared GHG flux, crop yield, root biomass, and ...

As one of the critical diseases of sugarcane, sugarcane mosaic disease can lead to serious decline in stalk yield and sucrose content. It is mainly caused by Potyvirus sugarcane mosaic virus (SCMV) and/or Sorghum mosaic virus (SrMV), with additional differences in viral strains. RNA interference (RNAi) is a novel strategy for producing viral resistant plants. In this study, based on multiple se...

Recently Beaufils published a monograph entitled Diagnosis and Recommendation Integrated System (DRIS) in which he presented complete details of his experimental approach and plantlenvironment calibration technique for the first time. One of the cardinal points of this diagnostic technique is that it should be applicable to a particular crop grown at any place at, any stage of its development. ...

The Response of Morphological and Physiological Traits Grain Yield Corn to Planting Method Sugarcane Residue Compost

Objectives: The main objective of this study is to cultivate Trichoderma harizanum using agricultural waste as a substrate for the management of damping of disease and growth promotion in Chilli plants. Methods: T. harizanum was isolated from MCRC Main Agricultural Research Station, Chennai, and identified through microscopic observation by using standard keys. F. oxysporum, R. solani, and A.al...

Neural networks have gained a great deal of importance in the area of soft computing and are widely used in making predictions. The work presented in this paper is about the development of Artificial Neural Network (ANN) based models for the prediction of sugarcane yield in India. The ANN models have been experimented using different partitions of training patterns and different combinations of...

The importance of growing sugarcane varieties that minimise losses from nematodes is linked to the effect that the nematodes have on the cane. Revised estimates of crop loss from nematodes in South Africa indicate a reduction in yield equivalent to more than 1.6 million tons cane per annum. The most pathogenic species on sugarcane, Meloidogyne javanica, is restricted to very sandy soils. The ot...