Continuously-stirred anaerobic digester to convert organic wastes into biogas: system setup and basic operation

Anaerobic digestion (AD) is a bioprocess that is commonly used to convert complex organic wastes into a useful biogas with methane as the energy carrier. Increasingly, AD is being used in industrial, agricultural, and municipal waste(water) treatment applications. The use of AD technology allows plant operators to reduce waste disposal costs and offset energy utility expenses. In addition to treating organic wastes, energy crops are being converted into the energy carrier methane. As the application of AD technology broadens for the treatment of new substrates and co-substrate mixtures, so does the demand for a reliable testing methodology at the pilot- and laboratory-scale. Anaerobic digestion systems have a variety of configurations, including the continuously stirred tank reactor (CSTR), plug flow (PF), and anaerobic sequencing batch reactor (ASBR) configurations. The CSTR is frequently used in research due to its simplicity in design and operation, but also for its advantages in experimentation. Compared to other configurations, the CSTR provides greater uniformity of system parameters, such as temperature, mixing, chemical concentration, and substrate concentration. Ultimately, when designing a full-scale reactor, the optimum reactor configuration will depend on the character of a given substrate among many other nontechnical considerations. However, all configurations share fundamental design features and operating parameters that render the CSTR appropriate for most preliminary assessments. If researchers and engineers use an influent stream with relatively high concentrations of solids, then lab-scale bioreactor configurations cannot be fed continuously due to plugging problems of lab-scale pumps with solids or settling of solids in tubing. For that scenario with continuous mixing requirements, lab-scale bioreactors are fed periodically and we refer to such configurations as continuously stirred anaerobic digesters (CSADs). This article presents a general methodology for constructing, inoculating, operating, and monitoring a CSAD system for the purpose of testing the suitability of a given organic substrate for long-term anaerobic digestion. The construction section of this article will cover building the lab-scale reactor system. The inoculation section will explain how to create an anaerobic environment suitable for seeding with an active methanogenic inoculum. The operating section will cover operation, maintenance, and troubleshooting. The monitoring section will introduce testing protocols using standard analyses. The use of these measures is necessary for reliable experimental assessments of substrate suitability for AD. This protocol should provide greater protection against a common mistake made in AD studies, which is to conclude that reactor failure was caused by the substrate in use, when really it was improper user operation.     

Evaluation of selection index: application to the choice of an indirect multitrait selection index for soybean breeding

Summary Selection indices can be used to predict one trait from information available on several traits in order to improve the prediction accuracy. Plant or animal breeders are interested in selecting only the best individuals, and need to compare the efficiency of different trait combinations in order to choose the index ensuring the best prediction quality for individual values. As the usual tools for index evaluation do not remain unbiased in all cases, we propose a robust way of evaluation by means of an estimator of the mean-square error of prediction (EMSEP). This estimator remains valid even when parameters are not known, as usually assumed, but are estimated. EMSEP is applied to the choice of an indirect multitrait selection index at the F₅ generation of a classical breeding scheme for soybeans. Best predictions for precocity are obtained by means of indices using only part of the available information.     

Prediction of heterosis using genome-wide SNP-marker data: application to egg production traits in white Leghorn crosses

Prediction of heterosis has a long history with mixed success, partly due to low numbersof genetic markers and/or small data sets. We investigated the prediction of heterosisfor egg number, egg weight and survival days in domestic white Leghorns, using∼400 000 individuals from 47 crosses and allele frequencies on∼53 000 genome-wide single nucleotide polymorphisms (SNPs). When heterosis isdue to dominance, and dominance effects are independent of allele frequencies, heterosisis proportional to the squared difference in allele frequency (SDAF) between parental purelines (not necessarily homozygous). Under these assumptions, a linear model includingregression on SDAF partitions crossbred phenotypes into pure-line values and heterosis,even without pure-line phenotypes. We therefore used models where phenotypes of crossbredswere regressed on the SDAF between parental lines. Accuracy of prediction was determinedusing leave-one-out cross-validation. SDAF predicted heterosis for egg number and weightwith an accuracy of ∼0.5, but did not predict heterosis for survival days. Heterosispredictions allowed preselection of pure lines before field-testing, saving∼50% of field-testing cost with only 4% loss in heterosis. Accuraciesfrom cross-validation were lower than from the model-fit, suggesting that accuraciespreviously reported in literature are overestimated. Cross-validation also indicated thatdominance cannot fully explain heterosis. Nevertheless, the dominance model hadconsiderable accuracy, clearly greater than that of a general/specific combiningability model. This work also showed that heterosis can be modelled even when pure-linephenotypes are unavailable. We concluded that SDAF is a useful predictor of heterosis incommercial layer breeding.