The study reports that easier practice conditions improved transfer and reduced errors compared with more difficult practice conditions. This supports the idea that observed motor performance differences during practice can reflect task difficulty and practice structure, not just innate ability.

The authors report that heredity accounts for a major part of existing differences in motor control and motor learning, but they also state that uncertainty remains about the relative roles of learning and environmental effects. The paper explicitly discusses how motor performance is shaped by both genetic and non-genetic influences, making it directly relevant to separating innate ability from practice and other environmental factors.

This indexed record identifies the peer-reviewed article on heritability in motor control and motor learning. The study focuses on the difficulty of disentangling inherited differences from practice-related and environmental influences when interpreting motor performance.

Plomin and Deary review behavioral-genetic work on cognitive and learning abilities and state that individual differences in such traits are "substantially heritable," but also strongly affected by environment. They emphasize that twin and adoption designs can partition variance into genetic and environmental components but cannot easily specify the precise experiences or biological mechanisms involved. They note that for complex skills, both genes and environments "correlate and interact," making it challenging to disentangle innate dispositions from the effects of experience, practice, and opportunity in real-world performance.

This study investigated the impact of rate (tempo) variability and the schedule of tempo change during practice on timing and motor skill acquisition. Its findings are relevant because they show that different kinds of practice variability can affect learning outcomes differently, making it difficult to separate underlying ability from practice history.

The article reviews both genetic (nature) and environmental (nurture) factors that contribute to athletic ability, including "genetic effects" and environmental variables such as "deliberate practice, family support, and the birthplace effect." It notes that "developmental effects are difficult to disassociate with genetic effects, because the early life environment may have long-lasting effects in adulthood," highlighting the difficulty of separating innate ability from experience and environment in explaining performance differences. The authors conclude that the traditional nature vs. nurture dichotomy is outdated because both play important roles in becoming an elite athlete.

Ericsson and colleagues argue that expert performance "is acquired gradually over time through deliberate practice" and that many characteristics often labeled innate talent "can be accounted for by the extended acquisition of domain-specific skills" through practice. At the same time, they acknowledge that empirical estimates of practice effects are usually derived from observational or retrospective data, in which "practice, motivation, and prior experience are typically confounded," and that experimental isolation of pure innate ability from training history is rare, underscoring the methodological difficulty of distinguishing these influences in motor performance.

Heritability was found to be low during the early stages of learning, before it increased to stabilize at approximately 65% for the remaining practice. The study also found that systematic environmental variance was highest early in learning, supporting the view that practice and environmental effects are especially important when motor skill is first being acquired.

The paper states that "the influence of nature (genes) and nurture (environment) on elite sporting performance remains difficult to precisely determine" and that estimates of heritability and environmental effects vary between traits. It discusses how genetic predispositions (e.g., muscle fiber type) interact with training, motivation, and other environmental factors, and emphasizes that performance emerges from "complex gene–environment interactions," which complicates efforts to cleanly separate innate motor ability from practice or environmental influences.

Mosing et al. summarize twin studies on musical and sports expertise and report that both practice and genetic factors contribute to expert performance. For example, in a large twin sample, "the association between practice and performance was substantially reduced when controlling for genetic influences," indicating that people with higher genetic propensity may both practice more and achieve higher performance. The authors state that such gene–environment correlations and interactions "make it difficult to draw firm causal conclusions about the effects of practice" and complicate attempts to untangle innate ability from learning history.

Doyon and Benali review motor learning and distinguish fast, slow, and consolidation phases, all strongly dependent on practice and feedback. They highlight that motor learning outcomes vary with "age, motivation, prior experience, and the structure of practice," and that individual differences in neural substrates such as basal ganglia and cerebellum also play roles. The review notes that most evidence comes from training studies in which these factors covary, and that separating the contributions of innate neural architecture from practice-induced changes remains a major challenge in interpreting interindividual differences in motor performance.

The article states that blocked practice can produce better short-term performance while interleaved practice leads to better long-term learning. It also notes that people often misjudge what they have learned based on their current performance, illustrating how practice effects can be mistaken for true ability differences.

A study by Floyer-Lea and Matthews examined individual differences in motor skill acquisition and associated cortical plasticity using fMRI. They found substantial variability in learning rates between participants and reported that the magnitude and location of practice-induced changes in brain activity differed across individuals. The authors suggest that both "preexisting differences in cortical organization" and "differences in the engagement with the task" (such as attention and motivation) likely contribute, and that it is difficult to ascribe performance variability solely to innate factors or solely to practice.

This review states that motor competence is thought to influence future physical activity through bidirectional causal effects that are partly direct and partly mediated by perceived competence. That framing supports the idea that motor performance differences can reflect interaction among ability, experience, and motivational or contextual pathways.

In a commentary on the deliberate practice literature, Campitelli and Gobet argue that while practice is clearly necessary, "it is not sufficient to account for all the variance in expert performance." They discuss evidence that starting age, general cognitive abilities, and motivational factors also matter, and that in observational studies, "practice, coaching, and opportunity are often confounded," making it methodologically difficult to estimate the unique impact of deliberate practice independent of other experiential and dispositional variables.

This review contrasts the "genetic influence" model with the "deliberate practice" model in explaining athletic performance, noting that both heredity and training contribute to skill. It describes deliberate practice as "task-specific, structured training activity" that is critical in skill acquisition, but also discusses genetic constraints such as VO2max potential and muscle fiber composition. The authors highlight that disentangling the relative contributions of innate traits and accumulated practice is challenging because they are intertwined across development.

The article notes that exceptional performance in domains such as sports arises from both genetic predispositions and extensive practice, but that "the interplay between genes and environment makes it difficult to partition variance cleanly into innate and acquired components." It explains that gene–environment correlation (people with certain genotypes seek or elicit particular environments) and gene–environment interaction complicate attempts to separate the effects of training from underlying ability when studying performance differences.

Sigrist et al. review how changes in sensory feedback (visual, auditory, haptic) and practice context influence motor performance and learning. They conclude that "effective manipulations of sensory information and learning contexts provide a viable way to improve motor performance" and emphasize that feedback, task difficulty, and practice schedule all shape outcomes. Because these environmental and instructional factors strongly affect motor behavior, the authors note that observed differences between individuals in motor tasks cannot be straightforwardly attributed to fixed motor ability without considering these learning conditions.

This article reviews research on the ratio between the lengths of the second and fourth digits as a putative marker of prenatal androgen exposure and its association with athletic performance. It notes that while some studies find correlations between this biological marker and certain aspects of sports performance, the effects are modest and embedded within many other factors such as training history and motivation, underscoring that biological predispositions are only one of multiple intertwined influences on motor performance.

This meta-analysis examined how much performance differences in sport are explained by deliberate practice, and it focused on whether practice relates to performance similarly across skill levels. The results are relevant to the claim because they show that practice alone is an incomplete explanation of performance differences and that the practice-performance relationship varies across contexts and levels of expertise.

The article describes two main theories: the "genetic influence model" and the "deliberate practice model" for explaining athletic potential. It notes that genetic traits (e.g., body size, muscle composition) shape potential, while deliberate practice during critical periods of motor development is essential for high-level skill. It emphasizes that nature and nurture "interact so intricately" and that various factors including training, motivation, and opportunity all influence performance, making it difficult to isolate pure innate motor ability from the effects of practice and environment.

The article describes motor learning in sports as "a multifaceted process influenced by a variety of factors, including deliberate practice, instructional guidance, feedback provision, and the utilization of mental imagery." It notes that skill acquisition is facilitated through intentional practice and cognitive interventions and that "developmental considerations" such as age-related differences in learning abilities must be taken into account. By highlighting interactions among practice methods, cognitive factors, and developmental stage, the paper underscores that multiple overlapping influences shape motor performance and that isolating a single innate factor is problematic.

The article states that "individual differences in sporting performance are influenced by both nature and nurture" and defines nature as genetic and biological factors and nurture as environmental and experiential factors such as training, coaching, and access to facilities. It emphasizes that "nature and nurture do not act independently" and that performance results from the "interaction between genetic potential and environmental influences," meaning that differences in motor performance reflect intertwined effects of innate capacity, practice, motivation, and opportunity.

This coaching-oriented article discusses the ongoing debate about whether athletic talent is determined by genes or environment and notes that researchers still disagree on the relative contribution of each. It describes a "genetic influence" model alongside a training/practice model and points out that factors such as motivation, opportunity, and quality of practice all shape how genetic potential is expressed, making it challenging in practice to separate natural giftedness from learned ability when evaluating performance.

In motor learning research, performance during practice is often treated as distinct from learning, because short-term gains can reflect practice structure, feedback, fatigue, motivation, and familiarity rather than stable underlying ability. Researchers therefore use retention and transfer tests to better estimate learning.