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Does sample size of leaf osmotic potential affect its relationship with cotton yield?

bioRxiv · 22 Jan 2025 · 10.1101/2025.01.17.633093

Abstract

Leaf osmotic potential at full turgor ({pi}0) has been used frequently to indicate turgor loss point of plant leaves. However, even a rapid measurement of{pi} 0 using osmometry is time-consuming, if numerous leaf samples need to be measured. Because of this, researchers tend to use a small sample size to determine{pi} 0 and relate it to indices of crop performance. Yet the statistical and agronomic significance of using a small sample size of{pi} 0 to indicate crop performance is not known. We address this question using field measurements and statistical resampling. Six mature leaf samples were collected at the peak bloom stage from each of the 54 cotton plots in Texas, USA in 2024. The{pi} 0 of the collected leaves were measured using an osmometer. Seed cotton yields from the field plots were measured near the end of cotton season. To test the effect of sample size on strength of the linear relation between{pi} 0 and cotton yield, 1-6 resamples of{pi} 0 were randomly drawn with replacement from the original 6 measurements per plot for the 54 plots. The resampled data of{pi} 0 were then used as independent variable to predict cotton yield. We found that, considering the labor and cost, sampling 3 or 6 leaves per plot may not make a significant difference for the linear regression between{pi} 0 and cotton yield.

Plant phenotyping relevance

葉の浸透ポテンシャル測定におけるサンプル数の妥当性と、収量との関係に対する影響を再サンプリングで評価しており、測定プロトコルの技術的検証が中心である。

titleDoes sample size of leaf osmotic potential affect its relationship with cotton yield?
abstractTo test the effect of sample size on strength of the linear relation between{pi} 0 and cotton yield, 1-6 resamples of{pi} 0 were randomly drawn with replacement from the original 6 measurements per plot for the 54 plots.
abstractWe found that, considering the labor and cost, sampling 3 or 6 leaves per plot may not make a significant difference for the linear regression between{pi} 0 and cotton yield.

Code and data availability

The paper's field-measured leaf osmotic potential and seed cotton yield dataset, plus the authors' resampling/regression computer code, are explicitly deposited publicly on Zenodo (record 14635663), as stated in the Data availability section.

Datasetpublic

ect 9574- 2, is appreciated. We thank Jose Teran and Joe Gonzalez, Farm Manager and Farm Foreman, respectively, at Uvalde Research Center, and collaborating farmer Rick Kruger for time/efforts invested in crop management. Data availability The data and computer code for reproduc- ing the results of this paper are available from https://zenodo.org/records/14635663.Bibliography 1. Megan K. Bartlett, Ya Zhang, Christine Scoffoni, Shanwen Sun, Rico Ardy, Kunfang Cao, and Lawren Sack. Rapid determination of comparative drought tolerance traits: using an osmometer to predict turgor loss point. Methods in Ecology and Evolution, 3:880–888, 2012. 2. Y. N. S. Cheung, M. T. Tyree, and J. Dainty. W

Open resource ↗Zenodo · 14635663 · pdf-raw-page:3 lines:1-85

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