Factors affecting photosynthesis is a reliable NEET recall topic — and the trap isn't forgetting what the factors are, but confusing how they interact and which one is actually limiting at any given moment.
Blackman's Law of Limiting Factors is the anchor concept. Photosynthesis depends on multiple factors simultaneously — light intensity, CO₂ concentration, temperature, and water availability. At any instant, the factor present in the least favourable amount controls the overall rate, regardless of how abundant the others are. Increasing any non-limiting factor does not raise the rate until the bottleneck is removed.
NCERT Class 11 Biology Chapter 13, page 261, presents this as a graph-interpretation exercise: the photosynthetic rate plateaus when one factor becomes limiting, and the plateau shifts upward only when that limiting factor is increased.
Light intensity: At low light, the rate is directly proportional to intensity (light-dependent reactions are the bottleneck). Beyond the light saturation point, increasing light does not increase rate — CO₂ fixation or temperature becomes limiting.
CO₂ concentration: Atmospheric CO₂ (~0.04%) is often limiting under natural conditions. Experimentally increasing CO₂ raises photosynthetic rate up to a saturation point. C₃ plants respond more to CO₂ enrichment than C₄ plants because C₄ plants already concentrate CO₂ at the bundle sheath.
Temperature: Enzymatic reactions (Calvin cycle enzymes, RuBisCO) are temperature-sensitive. Photosynthesis has an optimum range (25–35 °C for most C₃ plants). Beyond the optimum, enzyme denaturation causes a sharp decline.
Water: Affects photosynthesis indirectly — water stress causes stomatal closure, reducing CO₂ entry. Water is also the electron donor in the light reactions, but its direct shortage rarely limits photosynthesis before stomatal closure takes effect.
NEET watch-out: Questions frequently present a graph showing two curves (e.g., photosynthetic rate vs. light at two different CO₂ levels) and ask which factor is limiting at a specific point. The trap is selecting the factor you increased rather than the one that is still at its lowest relative availability.