The matching law

This article introduces the quantitative analysis of choice behavior by describing a number of equations developed over the years to describe the relation between the allocation of behavior under concurrent schedules of reinforcement and the consequences received for alternative responses. Direct proportionality between rate of responding and rate of reinforcement was observed in early studies, suggesting that behavioral output matched environmental input in a mathematical sense. This relation is termed "strict matching," and the equation that describes it is referred to as "the matching law." Later data showed systematic departures from strict matching, and a generalized version of the matching equation is now used to describe such data. This equation, referred to as "the generalized matching equation," also describes data that follow strict matching. It has become convention to refer to either of these equations as "the matching law." Empirical support for the matching law is briefly summarized, as is the applied and practical significance of matching analyses

Switch Hitting in Baseball: Apparent Rule-following, not Matching

Many studies, including some dealing with shot selection in basketball and play selection in football, demonstrate that the generalized matching equation provides a good description of the allocation of time and effort to alternative responses as a function of the consequences of those alternatives. We examined whether it did so with respect to left- and right-handed at bats (alternative responses) and left- and right-handed total bases earned, runs batted in, and home runs (three consequences) for the outstanding baseball switch-hitters Mickey Mantle, Eddie Murray, and Pete Rose. With all hitters, undermatching, suggesting insensitivity to the consequences of behavior (reinforcement), was evident and there was substantial bias towards left-handed at bats. These players apparently chose handedness based on the rule “bat opposite the pitcher,” not on differential consequences obtained in major league games. The present findings are significant in representing a counter-instance of demonstrations of a matching relationship in sports in particular and in human behavior in general and in calling attention to the need for further study of the variables that affect choice

Prunus microsatellite marker transferability across rosaceous crops

A total of 145 microsatellite primer pairs from Prunus DNA sequences were studied for transferability in a set of eight cultivars from nine rosaceous species (almond, peach, apricot, Japanese plum, European plum, cherry, apple, pear, and strawberry), 25 each of almond genomic, peach genomic, peach expressed sequence tags (EST), and Japanese plum genomic, 22 of almond EST, and 23 of apricot (13 EST and 10 genomic), all known to produce single-locus and polymorphic simple-sequence repeats in the species where they were developed. Most primer pairs (83.6%) amplified bands of the expected size range in other Prunus. Transferability, i.e., the proportion of microsatellites that amplified and were polymorphic, was also high in Prunus (63.9%). Almond and Japanese plum were the most variable among the diploid species (all but the hexaploid European plum) and peach the least polymorphic. Thirty-one microsatellites amplified and were polymorphic in all Prunus species studied, 12 of which, covering its whole genome, are proposed as the “universal Prunus set”. In contrast, only 16.3% were transferable in species of other Rosaceae genera (apple, pear, and strawberry). Polymorphic Prunus microsatellites also detected lower levels of variability in the non-congeneric species. No significant differences were detected in transferability and the ability to detect variability between microsatellites of EST and genomic origin.This research was partly funded by a project of the Spanish Ministry of Education (AGL2006-07767/AGR). The group of IRTA is a member of the CONSOLIDER Center for Basic Genomics and Agro-food Orientation (CSD2007-00036).Peer reviewe

A reference genome for pea provides insight into legume genome evolution

International audienceWe report the first annotated chromosome-level reference genome assembly for pea, Gregor Mendel’s original genetic model. Phylogenetics and paleogenomics show genomic rearrangements across legumes and suggest a major role for repetitive elements in pea genome evolution. Compared to other sequenced Leguminosae genomes, the pea genome shows intense gene dynamics, most likely associated with genome size expansion when the Fabeae diverged from its sister tribes. During Pisum evolution, translocation and transposition differentially occurred across lineages. This reference sequence will accelerate our understanding of the molecular basis of agronomically important traits and support crop improvement