The outcome-prediction strategy in cases denied certiorari by the U.S. Supreme Court

We investigate whether the substantial use of the outcome-prediction strategy by Supreme Court justices occurs in the petitions denied certiorari by the Court. We show with a computer simulation that [Caldeira, G.A., Wright, J.R., & Zorn, C.J.W. (1999). Journal of Law, Economics and Organization, 15, 549–572], who modeled the missing final votes for denied petitions in order to include them in their study of the use of the outcome-prediction strategy, may have obtained spurious results. Application of the logic of conditional probabilities to the denied petitions suggests that all but those denied by the narrowest of margins are probably considered unacceptable by the justices on non-outcome-oriented grounds, and, therefore, are not subject to use of this strategy. We evaluate the pursuit of the outcome-prediction strategy in petitions that narrowly fail to be granted cert by focusing upon the petitions that are narrowly granted cert and find limited use of the strategy. We conclude that the outcome-prediction strategy probably is little used by the justices in confronting the petitions denied cert and that investigations of the use of this strategy are best confined to those petitions granted cert. Copyright Springer Science + Business Media B.V. 2007U.S. Supreme Court, Certiorari, Strategic behavior, Attitudinal model, Rational choice, Selection bias,

Application of biotechnology in breeding lentil for resistance to biotic and abiotic stress

Lentil is a self-pollinating diploid (2n = 14 chromosomes) annual cool season legume crop that is produced throughout the world and is highly valued as a high protein food. Several abiotic stresses are important to lentil yields world wide and include drought, heat, salt susceptibility and iron deficiency. The biotic stresses are numerous and include: susceptibility to Ascochyta blight, caused by Ascochyta lentis; Anthracnose, caused by Colletotrichum truncatum; Fusarium wilt, caused by Fusarium oxysporum; Sclerotinia white mold, caused by Sclerotinia sclerotiorum; rust, caused by Uromyces fabae; and numerous aphid transmitted viruses. Lentil is also highly susceptible to several species of Orabanche prevalent in the Mediterranean region, for which there does not appear to be much resistance in the germplasm. Plant breeders and geneticists have addressed these stresses by identifying resistant/tolerant germplasm, determining the genetics involved and the genetic map positions of the resistant genes. To this end progress has been made in mapping the lentil genome and several genetic maps are available that eventually will lead to the development of a consensus map for lentil. Marker density has been limited in the published genetic maps and there is a distinct lack of co-dominant markers that would facilitate comparisons of the available genetic maps and efficient identification of markers closely linked to genes of interest. Molecular breeding of lentil for disease resistance genes using marker assisted selection, particularly for resistance to Ascochyta blight and Anthracnose, is underway in Australia and Canada and promising results have been obtained. Comparative genomics and synteny analyses with closely related legumes promises to further advance the knowledge of the lentil genome and provide lentil breeders with additional genes and selectable markers for use in marker assisted selection. Genomic tools such as macro and micro arrays, reverse genetics and genetic transformation are emerging technologies that may eventually be available for use in lentil crop improvement