Xuejun Dong , Dale A. Mott , Quan Zhou , Benjamin M. McKnight
{"title":"叶片渗透势的样本量是否显著影响其与棉花产量相关的证据?","authors":"Xuejun Dong , Dale A. Mott , Quan Zhou , Benjamin M. McKnight","doi":"10.1016/j.jaridenv.2025.105387","DOIUrl":null,"url":null,"abstract":"<div><div>Leaf osmotic potential at full turgor (<em>π</em><sub>0</sub>) has been used frequently to indicate turgor loss point of plant leaves. However, even a rapid measurement of <em>π</em><sub>0</sub> 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 <em>π</em><sub>0</sub> and relate it to indices of crop performance. Yet the statistical and agronomic significance of using a small sample size of <em>π</em><sub>0</sub> 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 <em>π</em><sub>0</sub> 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 the evidence of the association between <em>π</em><sub>0</sub> and cotton yield, 1–6 resamples of <em>π</em><sub>0</sub> were randomly drawn with replacement from the original 6 measurements per plot for the 54 plots. The resampled data of <em>π</em><sub>0</sub> were then used as independent variable to predict cotton yield. We found that, considering the labor and cost, sampling 3 leaves per plot would be adequate for the linear regression between <em>π</em><sub>0</sub> and cotton yield.</div></div>","PeriodicalId":51080,"journal":{"name":"Journal of Arid Environments","volume":"229 ","pages":"Article 105387"},"PeriodicalIF":2.6000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does sample size of leaf osmotic potential significantly affect the evidence of its association with cotton yield?\",\"authors\":\"Xuejun Dong , Dale A. Mott , Quan Zhou , Benjamin M. McKnight\",\"doi\":\"10.1016/j.jaridenv.2025.105387\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Leaf osmotic potential at full turgor (<em>π</em><sub>0</sub>) has been used frequently to indicate turgor loss point of plant leaves. However, even a rapid measurement of <em>π</em><sub>0</sub> 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 <em>π</em><sub>0</sub> and relate it to indices of crop performance. Yet the statistical and agronomic significance of using a small sample size of <em>π</em><sub>0</sub> 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 <em>π</em><sub>0</sub> 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 the evidence of the association between <em>π</em><sub>0</sub> and cotton yield, 1–6 resamples of <em>π</em><sub>0</sub> were randomly drawn with replacement from the original 6 measurements per plot for the 54 plots. The resampled data of <em>π</em><sub>0</sub> were then used as independent variable to predict cotton yield. We found that, considering the labor and cost, sampling 3 leaves per plot would be adequate for the linear regression between <em>π</em><sub>0</sub> and cotton yield.</div></div>\",\"PeriodicalId\":51080,\"journal\":{\"name\":\"Journal of Arid Environments\",\"volume\":\"229 \",\"pages\":\"Article 105387\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Arid Environments\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0140196325000710\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Arid Environments","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140196325000710","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Does sample size of leaf osmotic potential significantly affect the evidence of its association with cotton yield?
Leaf osmotic potential at full turgor (π0) has been used frequently to indicate turgor loss point of plant leaves. However, even a rapid measurement of π0 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 π0 and relate it to indices of crop performance. Yet the statistical and agronomic significance of using a small sample size of π0 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 π0 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 the evidence of the association between π0 and cotton yield, 1–6 resamples of π0 were randomly drawn with replacement from the original 6 measurements per plot for the 54 plots. The resampled data of π0 were then used as independent variable to predict cotton yield. We found that, considering the labor and cost, sampling 3 leaves per plot would be adequate for the linear regression between π0 and cotton yield.
期刊介绍:
The Journal of Arid Environments is an international journal publishing original scientific and technical research articles on physical, biological and cultural aspects of arid, semi-arid, and desert environments. As a forum of multi-disciplinary and interdisciplinary dialogue it addresses research on all aspects of arid environments and their past, present and future use.